KR102519094B1 - An electronic device for providing a virtual environment for generating synthetic data, a method of operating the electronic device, and a system including the electronic device - Google Patents

Abstract

According to an embodiment of the present disclosure, a method of providing a virtual environment in which at least one data provider terminal can generate data comprises the steps of: obtaining, by at least one processor of an electronic device, a request for the creation of a data set; confirming a reference data set previously stored in a memory based on the obtained request; obtaining first request information comprising first generation conditions set based on a relationship with the reference data set, and providing a first virtual environment for data generation based on the first request information; confirming whether a first synthetic data set generated from at least one user terminal accessing the first virtual environment satisfies the first generation condition; and blocking user access to the first virtual environment based on a determination result that the first synthetic data set satisfies the first generation condition.

Description

An electronic device providing a virtual environment for generating synthetic data, an operating method of the electronic device, and a system including the electronic device INCLUDING THE ELECTRONIC DEVICE}

The present disclosure relates to an electronic device (or computing device) providing a comprehensive data platform equipped with various functions related to data in a virtual environment.

As artificial intelligence technology develops, research on artificial intelligence models is being actively conducted. However, along with the structure of the AI model, what is important in learning the AI model is the learning data. Accordingly, studies on synthetic data (or virtual data, synthetic data) generated according to a specific method, rather than real data, are being actively conducted in order to obtain high-quality, large-scale learning data.

In a situation where data collection has become very important, a data generation platform for collecting large amounts of data is emerging. However, the current data generation platform is a crowd-sourcing method, and since each data provider must secure data on their own, an environment in which data can be directly generated is not provided at all.

In addition, as the value of data as an asset increases, transactions on data are also becoming more active. However, since data is an intangible asset that can only be traded through the network, stability is the most important factor in trading. However, when data is traded through a centralized network, it is difficult to achieve the above-described transaction stability because records of ownership of data are centralized. In addition, inefficiency in the data transaction process, such as directly searching for data having desired attributes, is caused in order for data consumers to purchase desired data.

The present disclosure provides a virtual environment platform to solve various problems occurring in the above-described data generation environment and trading environment.

An object to be solved by the present disclosure is to provide an environment capable of generating data that matches the requirements of consumers.

Another problem to be solved by the present disclosure is to provide an environment in which data can be safely traded.

On the other hand, the problems to be solved in the present disclosure are not limited to the above-mentioned problems, and problems not mentioned are clear to those skilled in the art from this specification and the accompanying drawings to which the invention included in the present disclosure belongs. will be understandable.

According to an embodiment of the present disclosure, as a method for providing a virtual environment in which at least one data provider terminal can generate data, a request for data set generation by at least one processor of an electronic device obtaining; Checking a reference data set previously stored in a memory based on the obtained request; obtaining first request information including a first generation condition set based on a relationship with the reference data set, and providing a first virtual environment for data generation based on the first request information; checking whether a first synthetic data set generated from at least one user terminal accessing the first virtual environment satisfies the first creation condition; and blocking user access to the first virtual environment based on a result of determining that the first synthetic data set satisfies the first creation condition.

Further, according to an embodiment of the present disclosure, as a method for performing data transaction in a virtual environment, a first sub-data set is acquired from a first user terminal by at least one processor of an electronic device, and a second user obtaining a second sub-data set from a terminal; obtaining a first data set including the first sub data set and the second sub data set; obtaining contribution information reflecting the contribution of the first user terminal and the contribution of a provider terminal of the second user terminal, based on the first sub-data set and the second sub-data set; obtaining first block data based on the first data set and the contribution information; obtaining second block data based on a transaction agreement corresponding to the first data set; and distributing the first reward generated by the transaction agreement to the first user terminal and the second user terminal based on the contribution information.

Further, according to an embodiment of the present disclosure, a method of operating an electronic device for optimization of an artificial intelligence model, comprising: constructing a virtual environment by at least one processor of the electronic device; providing at least one data generation tool to at least one user terminal accessing the built virtual environment; obtaining a first synthetic data set using the at least one generating tool; learning a reference model stored in a memory of the electronic device based on the first synthetic data set; inputting a first evaluation data set to the learned reference model; and providing feedback to the at least one user terminal when a result output from the reference model based on the first evaluation data set does not satisfy a predetermined criterion. and wherein the feedback is configured to request generation of data associated with the first evaluation data set.

The solutions to the problems of the present invention are not limited to the above-described solutions, and solutions not mentioned are clearly understood by those skilled in the art from this specification and the accompanying drawings. It could be.

According to the embodiments of the present disclosure, an electronic device providing an environment capable of generating data matching a demand of a consumer may be provided.

Also, according to embodiments of the present disclosure, an electronic device providing an environment in which data can be safely transacted may be provided.

The effects of the present invention are not limited to the above effects, and effects not mentioned will be clearly understood by those skilled in the art from this specification and the accompanying drawings.

1 is a diagram illustrating a system for providing a data platform, according to various embodiments.
2 is a diagram illustrating a hardware configuration of an electronic device (eg, a platform providing device or a server and/or a manager terminal included in the platform providing device) according to various embodiments.
3 is a diagram illustrating various environments provided in a data platform environment provided by an electronic device, according to various embodiments.
4 is a diagram illustrating hardware configurations of an electronic device (eg, a user terminal such as a mobile device or a PC) according to various embodiments.
5 is a diagram illustrating examples in which a data platform environment is implemented through an electronic device according to various embodiments.
6 is a diagram illustrating operations performed by an electronic device in a data platform environment, according to various embodiments.
7 is a diagram for explaining information that can be generated or received by an electronic device and stored in a memory according to various embodiments.
8 is a flowchart illustrating a method of generating a data set by at least one electronic device according to various embodiments.
9 is a diagram exemplarily illustrating a method of generating a data set by at least one electronic device according to various embodiments.
10 is a diagram for explaining an operation of updating project information for data generation by an electronic device, according to various embodiments.
11 is a diagram illustrating a method of performing a data generation operation by providing a data image by an electronic device, according to various embodiments.
12 is a diagram illustrating a user interface in which an electronic device generates data using a data generating tool, according to various embodiments.
13 is a flowchart illustrating a method of visualizing and providing generated data together by an electronic device, according to various embodiments.
14 is a diagram illustrating a user interface that visualizes data generated by an electronic device and provides the same, according to various embodiments.
15 is a flowchart illustrating information that may be additionally provided by an electronic device in relation to data generation, according to various embodiments.
16 is a diagram illustrating an example of a user interface through which an electronic device provides additional information related to data generation, according to various embodiments.
17 is a diagram illustrating another example of a user interface through which an electronic device provides additional information related to data generation, according to various embodiments.
18 is a diagram for explaining a function for an electronic device to provide a data transaction environment, according to various embodiments.
19 is a diagram illustrating a method of providing a data transaction environment by an electronic device according to various embodiments.
20 is a flowchart illustrating a method for an electronic device to transact a synthetic data set obtained from a provider terminal using a blockchain network, according to various embodiments.
21 is a diagram illustrating information stored in a blockchain network as an electronic device transacts a synthetic data set obtained from a provider terminal, according to various embodiments.
22 is a flowchart illustrating a method for an electronic device to provide a data transaction environment based on a smart contract, according to various embodiments.
23 is a diagram illustrating a method of generating block data accompanying smart contract-based data transaction by an electronic device, according to various embodiments.
24 is a diagram illustrating a general method of obtaining contribution information by an electronic device according to various embodiments.
25 is a diagram illustrating a method for an electronic device to acquire contribution information according to quality information according to various embodiments.
FIG. 26 is a diagram illustrating a method of generating quality information for a generated data set by an electronic device according to various embodiments.
27 is a flowchart illustrating a method of obtaining platform contribution information by an electronic device according to various embodiments.
28 is a diagram illustrating a method of improving data of an electronic device providing a platform, according to various embodiments.
29 is a diagram illustrating a method of obtaining platform contribution information as an electronic device providing a platform improves data according to various embodiments.
30 is a diagram illustrating a method of providing feedback on data generation by an electronic device using a reference model, according to various embodiments.
31 is a diagram illustrating a method for an electronic device to learn and demonstrate a waste plastic classification model, according to various embodiments.
32 is a flowchart illustrating a data construction method for an electronic device to learn a model for discriminating outlier data, according to various embodiments.
33 is a diagram illustrating a method of demonstrating a model for determining outlier data by an electronic device according to various embodiments.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. In describing the embodiments, descriptions of technical contents that are well known in the technical field to which the present disclosure pertains and are not directly related to the present disclosure will be omitted. This is to more clearly convey the gist of the present disclosure without obscuring it by omitting unnecessary description.

The embodiments described in this specification are intended to clearly explain the spirit of the present invention to those skilled in the art to which the present invention belongs, so the present invention is not limited to the embodiments described in this specification, and the The scope should be construed to include modifications or variations that do not depart from the spirit of the invention.

The terms used in this specification have been selected as general terms that are currently widely used as much as possible in consideration of the functions in the present invention, but these may vary depending on the intention of those skilled in the art, precedents, or the emergence of new technologies to which the present invention belongs. can However, in the case where a specific term is defined and used in an arbitrary meaning, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the term and the overall content of this specification, not the simple name of the term.

The drawings accompanying this specification are intended to easily explain the present invention, and the shapes shown in the drawings may be exaggerated as necessary to aid understanding of the present invention, so the present invention is not limited by the drawings.

If it is determined that a detailed description of a known configuration or function related to the present invention in this specification may obscure the gist of the present invention, a detailed description thereof will be omitted if necessary. In addition, numbers (eg, first, second, etc.) used in the description process of this specification are only identifiers for distinguishing one component from another component.

In addition, the suffixes "part" and "part" for components used in the following description are given or used interchangeably in consideration of ease of writing the specification, and do not themselves have a meaning or role that is distinct from each other.

That is, the embodiments of the present disclosure are provided to make the present disclosure complete and to inform those skilled in the art of the scope of the present disclosure, and the invention of the present disclosure is within the scope of the claims. only defined by Like reference numbers designate like elements throughout the specification.

Terms such as "first" and/or "second" may be used to describe various components, but the components should not be limited by the terms. The terms refer to one component as another. For the purpose of distinguishing from elements only, for example without departing from the scope of rights according to the concept of the present disclosure, a first element may be termed a second element, and similarly, a second element may be termed a first element. can also be named.

It is understood that when an element is referred to as being "connected" or "connected" to another element, it may be directly connected or connected to the other element, but other elements may exist in the middle. It should be. On the other hand, when an element is referred to as “directly connected” or “directly connected” to another element, it should be understood that no other element exists in the middle. Other expressions describing the relationship between elements, such as "between" and "directly between" or "adjacent to" and "directly adjacent to", etc., should be interpreted similarly.

In the drawings, each block of the process flow diagrams and combinations of the flow diagrams may be performed by computer program instructions. These computer program instructions may be embodied in a processor of a general purpose computer, special purpose computer, or other programmable data processing equipment, so that the instructions executed by the processor of the computer or other programmable data processing equipment are described in the flowchart block(s). It creates means to perform functions. These computer program instructions may also be stored in a computer usable or computer readable memory that can be directed to a computer or other programmable data processing equipment to implement functionality in a particular way, such that the computer usable or computer readable memory The instructions stored in may also be capable of producing an article of manufacture containing instruction means that perform the functions described in the flowchart block(s). The computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operational steps are performed on the computer or other programmable data processing equipment to create a computer-executed process to generate computer or other programmable data processing equipment. Instructions for performing the processing equipment may also provide steps for performing the functions described in the flowchart block(s).

Additionally, each block may represent a module, segment, or portion of code that includes one or more executable instructions for executing specified logical function(s). It should also be noted that in some alternative implementations it is possible for the functions mentioned in the blocks to occur out of order. For example, two blocks shown in succession may in fact be executed substantially concurrently, or the blocks may sometimes be executed in reverse order depending on their function.

The term 'unit' used in the present disclosure refers to software or a hardware component such as a Field Programmable Gate Array (FPGA) or Application Specific Integrated Circuit (ASIC). '~Part' performs specific roles, but is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Accordingly, according to some embodiments, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and programs. procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card. Also, according to various embodiments of the present disclosure, '~ unit' may include one or more processors.

Hereinafter, the operating principle of the present disclosure will be described in detail with reference to the accompanying drawings. In the following description of the present disclosure, if it is determined that a detailed description of a related known function or configuration may unnecessarily obscure the gist of the present disclosure, the detailed description will be omitted. In addition, terms to be described later are terms defined in consideration of functions in the present disclosure, which may vary according to intentions or customs of users or operators. Therefore, the definition should be made based on the contents throughout this specification.

According to an embodiment of the present disclosure, as a method for providing a virtual environment in which at least one data provider terminal can generate data, a request for data set generation by at least one processor of an electronic device obtaining; Checking a reference data set previously stored in a memory based on the obtained request; obtaining first request information including a first generation condition set based on a relationship with the reference data set, and providing a first virtual environment for data generation based on the first request information; checking whether a first synthetic data set generated from at least one user terminal accessing the first virtual environment satisfies the first creation condition; and blocking user access to the first virtual environment based on a result of determining that the first synthetic data set satisfies the first creation condition.

In addition, the request may include at least one of a data set attribute, wherein the data set attribute includes a data domain and a data modality, quality of the data set, or sample data.

The checking of the reference data set may include searching for a reference data set corresponding to the request among a plurality of reference data sets previously stored in the memory.

Also, the first generation condition may be set based on similarity with the reference data set.

Also, the first request information may include the first generation condition, the reference data set, and the sample data.

In addition, after providing the first virtual environment, level information representing a level of data to be generated based on the first request information is obtained, and a first data provider corresponding to the level information is obtained based on the level information. The method may further include selecting and providing information on the first virtual environment to a first user terminal corresponding to the selected first data provider.

The checking of whether the first generation condition is satisfied may include checking a degree of similarity between the first synthetic data set and the reference data set; and checking whether the degree of similarity corresponds to the first generation condition.

In addition, obtaining a second generation condition set based on a relationship with the reference data set; further comprising, wherein the first generation condition is set based on a first association relationship with the reference data set, A second generation condition may be set based on a second association relationship with the reference data set.

The method further includes providing the first generation condition to a second user terminal accessing the first virtual environment and providing the second generation condition to a third user terminal accessing the first virtual environment. can do.

The method may further include requesting generation of additional data from the at least one user terminal based on determining that the first synthetic data set does not satisfy the first generation condition.

The method may further include obtaining an improved synthesized data set based on a second synthesized data set additionally generated from the at least one user terminal.

The providing of the first virtual environment may include selecting some of a plurality of data generation tools stored in the memory based on the first request information.

Blocking the user's access to the first virtual environment may include storing the first synthetic data set in the memory.

Further, according to an embodiment of the present disclosure, as a method for performing data transaction in a virtual environment, a first sub-data set is acquired from a first user terminal by at least one processor of an electronic device, and a second user obtaining a second sub-data set from a terminal; obtaining a first data set including the first sub data set and the second sub data set; obtaining contribution information reflecting the contribution of the first user terminal and the contribution of a provider terminal of the second user terminal, based on the first sub-data set and the second sub-data set; obtaining first block data based on the first data set and the contribution information; obtaining second block data based on a transaction agreement corresponding to the first data set; and distributing the first reward generated by the transaction agreement to the first user terminal and the second user terminal based on the contribution information.

In addition, the first block data includes first transaction information including information related to generation of the first data set, and the first transaction information includes ownership information indicating an owner of the first data set, the first transaction information It may include equity information representing the equity ratio between co-owners of the data set and reward information reflecting a second reward generated by the generation of the first data set.

Also, the ownership information may include information on the current owner and information on the past owner of the first data set.

In addition, the share information is obtained based on the contribution information, and based on the contribution of the first user terminal and the contribution of the second user terminal, which are identified based on the contribution information, the share ratio of the first user terminal and It can be obtained by calculating the share ratio of the second user terminal.

Also, the transaction agreement may include an operation of confirming a transaction request received from a third user terminal and an operation of providing an approval intention to the third user terminal in response to the transaction request.

Also, the transaction agreement may include an operation of confirming a transaction proposal received from a third user terminal and an operation of providing an approval intention to the third user terminal in response to the transaction request.

Also, the transaction agreement may include transmitting a transaction proposal for the first data set to a third user terminal and receiving an approval intention for the transaction proposal from the third user terminal.

In addition, the second block data includes second transaction information including information related to the transaction of the first data set, and the second transaction information includes owner change information indicating a change status of the owner according to the transaction and information related to the transaction. Reward information including the accompanying first reward may be included.

In addition, the distributing the first reward to the first user terminal and the second user terminal may include distributing the first reward based on the equity ratio of the first user terminal and the equity ratio of the second user terminal identified by the share information. steps may be included.

In addition, the contribution information may include platform contribution information obtained based on the degree to which at least one tool provided in the virtual environment is used to generate the first data set.

Also, the at least one tool may include a data generation tool used to generate synthetic data and a quality evaluation tool for evaluating the quality of data.

In addition, transmitting the first block data and the second block data to a blockchain network; may further include.

Further, according to an embodiment of the present disclosure, a method of operating an electronic device for optimization of an artificial intelligence model, comprising: constructing a virtual environment by at least one processor of the electronic device; providing at least one data generation tool to at least one user terminal accessing the built virtual environment; obtaining a first synthetic data set using the at least one generating tool; learning a reference model stored in a memory of the electronic device based on the first synthetic data set; inputting a first evaluation data set to the learned reference model; and providing feedback to the at least one user terminal when a result output from the reference model based on the first evaluation data set does not satisfy a predetermined criterion. and wherein the feedback is configured to request generation of data associated with the first evaluation data set.

Further, the feedback may include a range of generation parameters for generating data associated with the first evaluation data set, the generation parameters being used by the data generation tool to generate synthetic data.

Also, the feedback may include a message requesting generation of data associated with the first evaluation data set.

Also, the first evaluation data set may be provided by a first user terminal not permitted to access the virtual environment.

The method may further include re-learning the reference model based on a second synthetic data set generated based on the feedback.

Also, inputting a second evaluation data set to the relearned reference model; and storing the second synthesized data set in a memory when a result output from the reference model based on the second evaluation data set satisfies the predetermined criterion.

Also, the reference model may be configured as a model for discriminating recyclable plastic.

In addition, the evaluation data set includes first plastic data related to recyclable plastic, and the at least one processor determines that the first plastic data is not determined as recyclable plastic according to a result output from the reference model. In this case, it may be configured to request generation of data related to the first plastic data to the at least one user terminal.

In addition, when the evaluation data set includes second plastic data related to recyclable plastic, and the at least one processor determines that the second plastic data is recyclable plastic according to a result output from the reference model. , may be set to provide a visual effect to the second plastic data.

Hereinafter, an electronic device providing a virtual environment platform including various functions related to data of the present disclosure, an operating method of the electronic device, and a system including the electronic device will be described.

[system]

1 is a diagram illustrating a system for providing a data platform, according to various embodiments.

A system providing a data platform may implement a platform environment so that users can generate data (eg, synthetic data), trade data, or receive various experiences using data. . In addition, an electronic device (eg, a server or an administrator terminal) providing a data platform converts and stores various types of data acquired from users using the platform environment as assets, thereby generating data (eg, synthetic data). Alternatively, a data asset storage (data related to data generation and transaction) may be constructed.

Referring to FIG. 1, a system 100 for providing a data platform includes at least one user terminal 120a, 120b, ?, 120n) may be included. In addition, the platform providing device 110 and at least one user terminal (120a, 120b, ?, 120n) can transmit and receive data between each other when a communication connection is established by the communication network (Net).

The platform providing device 110 may provide a data platform environment 150 . In this case, the data platform environment 150 may be a virtual environment for providing various functions and services related to data, such as generating, trading, or utilizing data.

The platform providing device 110 may include a server 111 and at least one manager terminal 113 that manages the server. Specifically, it is possible to manage various platform environments provided by the server 111 through at least one manager terminal 113, and further, the manager terminal 113 plays a specific role (eg, , role of 'producer' designing a project for data generation). In addition, it is not limited thereto, and at least one user terminal also plays a specific role in various platform environments (eg, a 'creator' participating in a project to generate data or a 'consumer' requesting data). ', etc.) can be performed. At this time, the concept of 'role' in the present disclosure is a concept arbitrarily assigned according to the purpose of a specific subject, and is not intended to limit the invention to the name or number of the role.

In addition, the platform providing device 110 may provide the data platform environment 150 by constructing a virtual environment (or virtual space) available to at least one user terminal. At this time, the virtual environment in the present disclosure is a concept encompassing virtual reality or augmented reality that can be accessed through AR devices or VR devices, or virtual spaces on the Internet that can be accessed through mobile devices, PCs, and the like.

For example, the platform providing device 110, when at least one user terminal accesses the virtual space built by the platform providing device 110, various services and functions provided by the platform providing device 110 The constructed virtual space can be transmitted to user terminals, and accordingly, users can use the various services and functions. Also, for example, the platform providing device 110, when at least one user terminal accesses the virtual space built by the platform providing device 110, at least one avatar corresponding to the at least one user terminal. It can be implemented so that the user can use various services and functions in the virtual space by using the avatar.

[Hardware Configuration]

2 is a diagram illustrating a hardware configuration of an electronic device (eg, a platform providing device or a server and/or a manager terminal included in the platform providing device) according to various embodiments.

Referring to FIG. 2 , an electronic device 110 (or a computing device, eg, a server) may include various components for providing a data platform environment. Specifically, the electronic device 110 has a memory 210 that stores data and various instructions to be delivered to the processor, performs an operation based on the instructions transmitted from the memory 110, and the electronic device 110 It may include at least one processor 220 that controls and a communication circuit 230 that enables communication between the electronic device 110 and an external device. In addition, it is not limited thereto, and configurations such as hardware configurations and communication protocols typically included in data servers may be included, of course.

Also, optionally, the electronic device 110 may further include an input device (not shown). In this case, the input device is a device that first receives a user input from the outside, and for example, the electronic device 110 may further include at least one input device such as a keyboard or a mouse.

Also, optionally, the electronic device 110 may further include an output device (not shown). At this time, the output device is a device for displaying specific information externally from the at least one processor 220, and for example, the electronic device 110 is a display, VR device, AR glass, AR projector, or printing device It may further include at least one output device such as the like.

In addition, the above-described internal components (eg, memory, at least one processor, etc.) included in the electronic device 110 may transmit data or communicate with each other through an internal bus 240 .

In addition, at least one processor 220 may include various components classified according to functions provided. Specifically, the at least one processor 220 includes a data generating unit 221 configured to provide a data generating environment in order to provide a function of generating synthesized data to a user, and a data generating unit 221 configured to provide a function of transacting data to a user. It may include, but is not limited to, a data transaction unit 222 configured to provide a transaction environment and a data utilization unit 223 configured to provide a data utilization environment in order to provide users with functions to utilize data in various ways. don't In particular, the data utilization unit 223 may be further divided into detailed configurations according to various uses for which data may be utilized. Details of various data environments provided by at least one processor 220 will be described with reference to FIG. 3 .

In addition, the memory 210 may include various components that are arbitrarily (or hardware-wise) classified according to purposes and uses. Specifically, the memory 210 includes an instruction storage unit 211 configured to store instructions instructing the at least one processor 220 to operate, synthesized data obtained through the data generator 221, and information associated therewith. Block data including data transaction information obtained through the synthetic data storage unit 212 and the data transaction unit 222 configured to store (eg, information such as quality, domain, or reference data of synthetic data) And information about the reference model generated through the asset storage 213 and the data utilization unit 223 configured to store information related thereto (eg, contribution, reward, or information about a connected blockchain network) Alternatively, it may include a model storage unit 214 configured to store information related thereto (eg, a reference model, etc.), but the configuration of the memory is not limited to the description of FIG. 2, and the memory 210 may store various types of data generated or received by the electronic device 110 .

[Various environments implemented in the platform]

3 is a diagram illustrating various environments provided in a data platform environment provided by an electronic device, according to various embodiments.

An environment defined in the present disclosure refers to a concept of a virtual reality environment in which a user is implemented to perform a specific function or an Internet environment accessible through an Internet network.

Referring to FIG. 3 , an electronic device (eg, a platform providing device) according to an embodiment of the present disclosure may build and provide a data platform environment 300 . For example, the electronic device may build and provide a virtual environment (eg, a metaverse platform) in which a user can enjoy various user experiences using a virtual avatar. In addition, for example, the electronic device builds and provides a virtual environment accessible to the user through an immersive output device (eg, augmented reality (AR) glasses, virtual reality (VR) device, or extended reality (XR) device). can do. Also, for example, the electronic device may establish and provide an Internet platform environment accessible to the user through a PC or a mobile application. As such, the data platform environment 300 implemented by the electronic device is not limited to a specific environment, but is preferably built as a virtual environment that induces various users to independently perform various functions.

According to various embodiments, an electronic device may provide a data generating environment 310 . In this case, the electronic device may provide various functions through the data generating environment 310 .

For example, the electronic device may provide a project control function 311 . At this time, in the present disclosure, a project (or a virtual environment for data generation) is defined as a data generation process for creating a data set that satisfies specific requirements by participating in various entities in a platform environment or a unit in which a data generation process is performed. can For example, various data creators may participate in the project and create synthetic data using a provided data creation tool, and until a data set obtained based on the generated synthetic data satisfies specific requirements, the Project can continue. The electronic device may provide a project control function 311 such as generating a project, determining the progress of a project, or determining whether to terminate a project.

A method of generating data for each project, performed by an electronic device, will be described in detail below (FIGS. 8 to 17).

Also, for example, the electronic device may provide a creation tool providing function 312 for generating data. In this case, the generation tool (or data generation tool) in the present disclosure may mean a tool (eg, a SW program, etc.) used by a data creator to generate synthetic data on a platform environment. The electronic device may provide a creation tool providing function 312 that provides a user of the platform environment with various creation tools stored in advance.

The types of data generation tools provided by the electronic device are described in detail below (description of FIG. 7).

Also, for example, the electronic device may provide a visualization function 323 for various pieces of information performed in the data generating environment 310 . Specifically, the electronic device may visualize and output the data generating environment 310 and information accompanying the data generating environment 310 to the user terminal.

Various User Interfaces (UIs) implemented as the data generating environment 310 is visualized in the user terminal will be described in detail below.

According to various embodiments, an electronic device may provide a data transaction environment 320 . At this time, the electronic device may provide various functions through the data transaction environment 320 .

For example, the electronic device may provide a data transaction mediation function 321 . At this time, in the present disclosure, data transaction refers to the exchange of data (for example, a synthetic data set created in a data generation environment) between subjects in a platform environment, a trade accompanied by a reward, and data generation It is a concept that encompasses compensation for The electronic device may provide a data transaction mediation function 321 that mediates data transactions between subjects to enable data transactions.

Details of the data transaction mediation function 321 provided by the electronic device will be described in detail below (FIGS. 19 to 28).

Also, for example, the electronic device may provide a contribution calculation function 322 . In the present disclosure, the degree of contribution may refer to the degree of contribution to the generation of data (eg, a synthetic data set generated in a data generation environment) of each of the subjects of the platform environment. The electronic device may provide a contribution calculation function 322 that evaluates and quantifies the degree of contribution of entities involved in the creation of the data set to the creation of the data set.

Details of the contribution calculation function 322 provided by the electronic device will be described in detail below.

Also, for example, the electronic device may provide a visualization function 323 for various pieces of information performed in a data transaction environment. Specifically, the electronic device may visualize and output the data transaction environment 320 and information accompanying the data transaction environment 320 to the user terminal.

Various user interfaces (UIs) implemented as the data transaction environment 320 is visualized in the user terminal will be described in detail below.

According to various embodiments, an electronic device may provide a data utilization environment 330 . In this case, the electronic device may provide various functions through the data utilization environment 330 .

For example, the electronic device may provide an AI model providing function 331 . Specifically, the electronic device learns a pre-stored reference model based on a data set (eg, a synthetic data set generated in a data generation environment), distributes a learned AI model, or based on test data received from the outside. It is possible to provide an AI model providing function 331 such as verifying an AI model or providing feedback to a data provider based on a verification result.

Also, for example, the electronic device may provide a preview function 332 . At this time, in the present disclosure, the demonstration refers to an example in which a data set (eg, a synthetic data set generated in a data generation environment) or an AI model acquired using a data set is applied to an actual task for a specific domain, etc. It can mean exhibiting or showing (showing). The electronic device may provide a demonstration function 332, such as visualizing and displaying the generated data set or demonstrating the generated AI model.

Also, for example, the electronic device may provide a visualization function 333 for various pieces of information performed in the data utilization environment. Specifically, the electronic device may visualize and output the data utilization environment 330 and information accompanying the data utilization environment 330 to the user terminal.

Various User Interfaces (UIs) implemented as the data utilization environment 330 is visualized in the user terminal will be described in detail below.

[Terminal configuration]

4 is a diagram illustrating hardware configurations of an electronic device (eg, a user terminal such as a mobile device or a PC) according to various embodiments.

The electronic device 120 according to an embodiment of the present disclosure may refer to a user terminal for using a data platform environment provided by a server, but is not limited thereto.

Referring to FIG. 4 , an electronic device 120 according to an embodiment of the present disclosure may include a memory 410, at least one processor 420, a communication circuit 430, and an output device 440. At this time, a general description of the memory 410, at least one processor 420, and the communication circuit 430 will be omitted.

The output device 440 includes, for example, general displays as well as the aforementioned immersive output devices (eg, AR (augmented reality) glasses, VR (virtual reality) devices, and XR (extended reality) devices). can do. In addition, the output device 440 may be implemented together with the function of the input device to enable communication with the user. At least one processor 420 may output a virtualized platform environment through the output device 440 . For example, when a specific input is received by a user in a virtualized space implemented by the output device 440, the electronic device may provide a corresponding user interaction.

A user interface environment output by the output device 440 will be described below.

5 is a diagram illustrating examples in which a data platform environment is implemented through an electronic device according to various embodiments.

An electronic device according to an embodiment of the present disclosure may output a data platform environment using an output device.

For example, referring to (a) of FIG. 5 , the electronic device 120 may output a virtual space 500 in which various environments of the data platform according to the embodiment are implemented. In this case, the virtual space 500 may be implemented as a 2D or 3D environment, but is not limited thereto.

In addition, the electronic device 120 may output an avatar 501 corresponding to the user to the virtual space 500 . In this case, the avatar 501 may be a computer graphic icon representing a user in the virtual space 500 . In this case, the characteristics of the avatar 501 may be set by the user or arbitrarily set. For example, characteristics such as appearance or clothing of the avatar 501 may be selected by the user or automatically set by the system. In addition, the avatar 501 may move to various spaces on the virtual space 500 according to a user's command.

In addition, the electronic device 120 may output a plurality of subspaces 510 , 520 , and 530 corresponding to a plurality of environments implemented in the data platform to the virtual space 500 . For example, the electronic device 120 includes a first subspace 510 corresponding to a data generating environment, a second subspace 520 corresponding to a data trading environment, and a third subspace corresponding to a data utilization space ( 530) can be output. That is, the user can access an environment corresponding to the sub-space by entering one of the plurality of sub-spaces (for example, access through an avatar or input on the sub-space).

As another example, referring to (b) of FIG. 5 , the electronic device 120 outputs a screen for accessing at least one of various environments of the data platform according to the embodiment to the first area of the output device through the output device. 503, and a screen corresponding to the environment selected through the first region can be output to the second region 505 of the output device.

Also, the electronic device 120 may display a plurality of icons 504a, 504b, and 504c corresponding to a plurality of environments of the data platform on the first area 503. For example, the electronic device 120 displays a first icon 504a corresponding to a data generating environment, a second icon 504b corresponding to a data transaction environment, and a third icon 504c corresponding to a data utilization space. can be printed out.

Also, the electronic device 120 may provide an environment corresponding to an icon selected by a user from among the plurality of icons through the second area 505 . For example, when the first icon 504a is selected by a user input, the electronic device 120 may output a data generation environment corresponding to the first icon 504a to the second area 505. there is. More specifically, the electronic device 120 may output a list of currently ongoing data generation projects (eg, AA data set generation project, BB data set generation project, CC data set generation project, etc.), but is not limited thereto. You can output a list of upcoming projects, a list of completed projects, a list of projects that can participate, and a list of projects that cannot participate.

[Various operations performed by electronic devices in a data platform environment]

At least one role may be assigned to the electronic device according to an operation or purpose performed within the data platform environment. Specifically, the electronic device may allocate at least one role to entities using the data platform environment based on pre-stored role information to be assigned to each type of data platform environment. For example, in a data generation environment, an electronic device (eg, a server, a manager terminal, etc.) that controls a project may be given the role of a 'producer' that designs a project and requests data generation. Also, for example, in a data generation environment, an electronic device (eg, a user terminal) that generates data may be assigned a role of a 'creator' that generates data by participating in a project. Also, for example, in a data generation environment, a 'consumer' role requesting data satisfying specific requirements may be assigned to an electronic device (eg, a user terminal) requesting data. Also, for example, in a data generation environment, an electronic device that inspects generated data may be assigned a role of a 'checker' that verifies the generated data and determines whether to terminate a project. Also, for example, in a data transaction environment, an electronic device that purchases data may be assigned a role of 'buyer'. Also, for example, in a data transaction environment, an electronic device that sells data may be assigned a role of 'seller'.

Also, a plurality of roles may be assigned to one electronic device. Specifically, the electronic device is assigned a plurality of roles in the same environment (eg, a case of being assigned a plurality of roles within one project in a data generation environment or a case of being assigned different roles for each project, etc.), May be assigned multiple roles in the environment. For example, a server providing a data platform environment may be given the role of a 'producer' who designs a project and a role of 'examiner' who verifies generated data and determines whether to terminate a project in a data generation environment. In a data transaction environment, the role of a 'seller' that sells data may be assigned, but is not limited thereto. That is, the embodiments of the present disclosure are not limited by the name of the role assigned to the electronic device, and a role with a name suitable for the corresponding operation may be assigned according to the operation of the subject in the platform environment.

6 is a diagram illustrating operations performed by an electronic device in a data platform environment, according to various embodiments.

Referring to (a) of FIG. 6 , at least one electronic device connected to the platform server may perform a data generating operation. Specifically, the first electronic device 610 (eg, a user terminal in the role of 'consumer') may request the second electronic device 620 (eg, a server in the role of 'producer') to create a data set. (S601). In this case, the second electronic device 620 may create a project 600 for generating a data set based on receiving the request (S603).

In addition, the second electronic device may determine at least one electronic device (eg, the third electronic device 630a and/or the fourth electronic device 630b) as a subject of execution of the project 600 . The third electronic device 630a and/or the fourth electronic device 630b determined as a subject to perform the project 600 may generate data using the data generating tool 640 . In this case, the data generating tool 640 is a tool for generating synthetic data, and may be previously stored in the platform server. (Details of the data generating tool will be described in FIG. 7 .) Specifically, the server may generate synthesized data by using the data generating tool 640 in the third electronic device 630a, and the fourth The electronic device 630b may generate synthetic data using the data generating tool 640, and the platform server may generate a synthetic data set 650 based on at least a part of the generated synthetic data.

Details of the data generation operation are described below.

Referring to (b) of FIG. 6 , at least one electronic device connected to the platform server may perform a data transaction operation. Specifically, the fourth electronic device 660 (eg, a user terminal and/or a platform providing device acting as a 'buyer') and a fifth electronic device 670 (eg, a user terminal acting as a 'seller' and/or The platform providing device) may perform a data transaction operation in a data transaction environment. For example, the fourth electronic device 660 receives the synthesized data set 650 generated from the fifth electronic device 670 by paying a predetermined reward 680 to the fifth electronic device 670. can do.

Details of the data transaction operation are described below.

Referring to (c) of FIG. 6 , at least one electronic device connected to the platform server may perform a data utilization operation. For example, at least one electronic device may learn or evaluate the AI model 690 using the generated synthetic data set 650, but is not limited thereto.

Details of the data utilization operation will be described below.

[Data creation environment]

7 is a diagram for explaining information that can be generated or received by an electronic device and stored in a memory according to various embodiments.

An electronic device according to various embodiments of the present disclosure may create a project for generating a data set (eg, a synthetic data set). Specifically, the electronic device may generate and store at least one piece of project information including various pieces of information related to the generation of the data set in the memory 210 . For example, the electronic device may store, in the memory 210 , information about a first project currently in progress 710 , information about a second project 720 , and information about a third project completed 730 .

In addition, the electronic device may classify and store in different areas in the memory 210 based on the current progress of the project. For example, the electronic device may store currently ongoing project information in a first memory area 700a (eg, a memory area for continuously updating), and may store completed project information or ongoing project information in a second memory area. (700b, for example, a memory area where updating is unnecessary or data is deleted after a certain time).

Also, project information generated by the electronic device may include at least one meta data related to the project. Specifically, the at least one meta data corresponding to the project information may include information related to a data set to be generated through a project, information related to the progress of a project, or project property information. For example, the first project information 710 includes level information 711 indicating the level of difficulty in generating a data set to be created through the first project, participant information 712 about subjects participating in the first project, and the first project information 710. Generation tool information 713 associated with a generation tool used to create a data set through 1 project, request information 714 associated with data generation conditions of the first project, and data to be generated through the first project Reference information 715 indicating reference data similar to the set and generation information 716 indicating the current generation status of the data set through the first project may be included, but is not limited thereto.

Also, at least one meta data corresponding to the project information may be updated. For example, the generation information 716 included in the first project information 710 may be updated according to the degree of data set generation. As another example, the participant information 712 included in the first project information 710 may be updated according to the number of subjects determined to participate in the first project. As another example, the request information 714 included in the first project information 710 may be updated according to a request received from a data consumer.

Also, for example, first meta data included in the project information may be updated based on second meta data included in the project information. As a specific example, the level information 711 included in the first project information 710 may be updated according to the generation level of the data set identified by the generation information 716 . Specifically, the electronic device may be set such that the level of difficulty of the project decreases as the degree of completeness of the data set generated through the project increases, but is not limited thereto.

Also, for example, creation tool information 713 included in the first project information 710 may be determined based on data creation tool information 750 .

In the electronic device according to an embodiment of the present disclosure, data generation tool information 750 used to generate a data set (eg, a synthetic data set) is stored in the memory 210 in advance. may be doing For example, the data generation tool information 750 includes a generative model 751, a neural rendering model 752, and a CG for generating synthesized data by modeling and rendering an image using a computer. Computer Graphics) tool 753, a shooting tool 754 for generating synthesized data based on images captured using a specific device (eg, general camera, AR or VR camera, etc.), synthesis specialized for a specific domain A data collection tool 756 for acquiring by utilizing a domain-specific tool 755 for data generation and user input-based data (data on the user's preference for a specific image, etc.) gamification tool, etc. It may include, but is not limited to.

At this time, the generation model 751 is a model for learning input data and generating similar data following the distribution of the input data. For example, the electronic device may be a statistical generative model such as a supervised generative model (eg, linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), etc.) or an unsupervised generative model (eg, Kernel Density Estimation), or Deep learning-based generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE)) may be provided, and the user terminal may generate a synthetic data set using the generative model 751.

In addition, the neural rendering tool 752 trains a neural renderer that learns hidden information of a 3D scene through a plurality of 2D rendered images, and then uses the trained neural renderer to respond to conditions that did not appear in training. It may operate in a manner of inferring a 2D rendered image.

Also, the CG tool 753 may operate in a manner of obtaining virtual computer graphics data by modeling and rendering graphics based on at least one parameter (eg, amount of light, angle of light, etc.).

Also, the photographing tool 754 may operate in a manner of generating synthesized data based on image data acquired by an electronic device including a photographing device such as a camera. For example, in the method of generating a synthetic data set using the photographing tool 754, the electronic device obtains a synthetic data set based on at least one image captured by the user terminal and an image obtained by processing the at least one image. action may be included.

In addition, the domain-specific tool 755 may be a creation tool designed to be optimized for the domain of data. For example, the electronic device may provide a tool for generating a waste plastic image (eg, waste plastic CG data, etc.) to at least one data provider in order to generate a synthetic data set of the waste plastic domain.

Additionally, the data collection tool 756 may operate in a manner that obtains data associated with user preferences based on user communications. For example, the electronic device may display at least two or more images on the user terminal, and obtain data associated with the user's preference based on an image selected by the user from among the at least two or more images.

The electronic device according to an embodiment of the present disclosure may generate and store a matching table 770 based on a relationship between various pieces of information stored in the memory 210 . In detail, the electronic device may generate the matching table 770 based on the association relationship of the data generating tool with respect to attributes of the data set (eg, data domain, modality, etc.). For example, the electronic device creates a matching table in which the optimal data generation tool (CG tool) for generating data of the corresponding domain is matched according to the domain of the data set (for example, data on waste plastic images). Thus, it can be stored in the memory 210. Also, in this case, when a project for generating a specific data set is created, the electronic device can identify a data generation tool corresponding to the domain of the data set to be created based on the matching table 770 . The electronic device may provide the identified data generating tool to at least one electronic device participating in the project (eg, a user terminal serving as a supplier).

8 is a flowchart illustrating a method of generating a data set by at least one electronic device according to various embodiments.

9 is a diagram exemplarily illustrating a method of generating a data set by at least one electronic device according to various embodiments.

In an electronic device according to an embodiment of the present disclosure, each of at least one electronic device may generate synthesized data and generate a data set based on the generated synthesized data. Specifically, when the electronic device creates a project for generating a data set, the at least one electronic device participates in the project, and the generation of the data set from the at least one electronic device is completed, the A data set can be created by terminating the project.

For example, referring to FIG. 8 , the first electronic device may receive a request for generating a data set (S810). In this case, the first electronic device may receive the request from the second electronic device (eg, a user terminal having a 'consumer' role). For example, referring to FIG. 9 , the consumer terminal 901 may transmit a request for data set generation to the server 902 . Specifically, the request for generating the data set may include requirements for a data set to be created. For example, the request for the creation of the data set includes properties of the data set such as domain, volume, or modality of the requested data set, and quality of the requested data set. ) or sample data for a required data set, but is not limited thereto.

Also, the first electronic device may check a reference data set based on receiving a request for data set creation (S830). In this case, the first electronic device may check the attribute of the data set requested based on the request for generating the data set, and at least one of a plurality of pre-stored reference data sets corresponding to the checked attribute You can search reference data sets. For example, referring to FIG. 9 , the server 902 selects a first reference data set corresponding to a request received from the consumer terminal 901 among reference data sets pre-stored in a pre-constructed database 905 (or memory). 910) can be identified.

In addition, the first electronic device may generate a first project by generating first request information including a first creation condition set based on a relationship with the reference data set (S850). Specifically, the first electronic device obtains first request information including a first generation condition set based on a relationship with the reference data set, and based on the first request information, a first virtual device for generating data. environment can be provided. In this case, providing the first virtual environment (or first project) may mean allowing access to the first virtual environment on the platform to a plurality of platform users. In this case, the first electronic device may generate first project information including all information related to the first project, including the first request information, and store the first project information in a memory. Specifically, the first request information may include the first creation condition, a confirmed reference data set, or sample data included in a received request. For example, referring to FIG. 9 , the server 902 generates the first request information including the first generation condition set based on the relationship with the first reference data set 910, thereby creating the first project 900. (or the first virtual environment) may be created. In addition, the server 920 may transmit the first generation condition to the first provider terminal 903a participating in the first project 900 .

In this case, the first electronic device may participate in the first project for data generation and determine at least one electronic device to generate data according to a predetermined criterion. Specifically, when an intention to participate in a project (or a request for access to the first virtual environment) is received from at least one electronic device, the first electronic device determines whether the at least one electronic device is suitable for carrying out the corresponding project. can judge For example, the first electronic device determines whether a data generation level by the at least one electronic device meets the level information based on the level information of the first project, thereby determining whether the at least one project of the at least one electronic device meets the level information. You can decide whether or not to participate. In addition, the first electronic device is not limited thereto, and the first electronic device selects at least one electronic device suitable for generating data by participating in the project based on the first project information, and assigns the at least one electronic device information about participating in the project. A suggestion may also be sent. If the level information of the project is very low (eg, data generation through selection of a preferred image), all electronic devices may be configured to participate in the project regardless of the level of data generation.

Also, the first request information generated by the first electronic device may further include at least one generation condition in addition to the first generation condition. Specifically, the electronic device may generate a plurality of different generation conditions based on the request received from the consumer terminal 901 and the identified first reference data set 910, and the plurality of generation conditions may be converted into a plurality of providers. It can be delivered to terminals. For example, the server 902 may transmit the first generation condition to the first provider terminal 903a and may transmit a second generation condition different from the first generation condition to the second provider terminal 903b. . In this case, the first generation condition and the second generation condition transmitted to at least one provider terminal may have different relationships with the first reference data set 910 . Specifically, the server 902 may generate a first generation condition for requesting generation of data having a first association relationship with the first reference data set 910 and transmit it to the first provider terminal 903a, , A second generation condition requesting generation of data having a second association relationship different from the first association relationship with the first reference data set 910 may be generated and transmitted to the second provider terminal 903b. . In this case, the association with the first reference data set 910 may appear based on an image of data. A method of providing creation conditions based on data images will be described in detail with reference to FIG. 11 .

In addition, the first electronic device is not limited thereto, and the first electronic device may transmit the same generation condition to different electronic devices. For example, the server 902 may deliver the second generation condition to the second provider terminal 903b and may deliver the same third generation condition as the second generation condition to the third provider terminal 903c.

Also, the first electronic device may provide (to a data provider) at least one data generating tool. Specifically, the first electronic device may select at least one of a plurality of data generating tools stored in a memory based on a predetermined criterion and provide the selected data provider. For example, the first electronic device may select and provide at least one generating tool suitable for generating required data based on the matching table. Also, for example, the first electronic device may provide at least one data generation tool used to generate the reference data set based on the identified reference data set. Also, for example, the first electronic device may provide at least one data generating tool confirmed by the request based on the request received from the consumer. Also, for example, the first electronic device may select and provide at least one data generating tool suitable for the data generating condition. Accordingly, at least one electronic device (eg, a terminal serving as a data provider) participating in a project for generating data may generate data using at least one provided data generating tool.

Referring back to FIG. 9 , the server 902 may provide the first data generating tool 920a to the first provider terminal 903a, and the first provider terminal 903a may provide the first data generating tool ( A first data set 930a may be generated using 920a).

In addition, the server 902 may provide different data generation tools to a plurality of provider terminals. For example, the server 902 provides the first data generating tool 920a to the first provider terminal 903a and provides the second data generating tool 920b to the second provider terminal 903b. The third data generating tool 920c may be provided to the third provider terminal 903c. In this case, the data generation tool provided to each provider terminal may be selected in consideration of the level of data generation of the provider terminal, field of expertise, required contribution, etc., but is not limited thereto. Details of this will be described with reference to FIG. 11 .

The first electronic device may provide a data imaging tool for providing an image of data corresponding to the generated data. In this case, the data image may be an image visualized by reflecting the distribution of the data. Specifically, the data image may be a visual image that reflects the intrinsic relationship of data (eg, distance between data, distribution of data, bias of data, etc.), and data will appear as each data point on the data image. can That is, the first electronic device provides a data image of the data generated through the data imaging tool, so that the data provider can determine the properties of the data currently being generated (eg, data distribution, density, relationship with other data, etc.) can be induced to check.

Referring back to FIG. 9 , the server 902 may provide a data imaging tool 940, and a reference image 950 corresponding to the reference data set 910 identified based on the data imaging tool 940. can provide. In addition, the first provider terminal 901a may check the first data image 960a corresponding to the generated first data set 930a using the data imaging tool 940 . In this case, the first data image 960a may be provided to visually emphasize the data generated by the first provider terminal 901a, but is not limited thereto. In addition, the second provider terminal 902b and/or the third provider terminal 902c uses the data imaging tool 940 to generate the second data set 930b and/or the third data set 930c. A second data image 960b corresponding to can be checked. In addition, the server may provide a third data image 960c corresponding to the reference data set and the synthesized data set 970 including data sets generated by all data providers.

Also, the first electronic device may provide a visual display corresponding to a data generating condition to the data image displayed using the data generating tool. Details of this will be described with reference to FIG. 11 .

Also, referring to FIG. 8 again, the first electronic device may determine whether a synthetic data set including data generated from at least one electronic device participating in the first project satisfies a first creation condition. (S870). Specifically, the first electronic device may check whether a synthetic data set generated from at least one user terminal accessing the first virtual environment satisfies the first creation condition. In addition, the first electronic device may terminate the first project when the synthetic data set satisfies the first creation condition (S890). Specifically, the first electronic device may block user access to the first virtual environment based on a result of determining that the synthetic data set satisfies the first creation condition. That is, the first electronic device may determine whether data generated by at least one electronic device satisfies a generation condition related to the project in order to determine whether to terminate the project for data generation.

Also, when a plurality of creation conditions are assigned to a plurality of electronic devices participating in the project, the first electronic device may determine whether to terminate the project based on the plurality of creation conditions. For example, the first electronic device may determine to terminate the project when conditions equal to or greater than a predetermined criterion among a plurality of creation conditions are satisfied, but is not limited thereto.

Referring back to FIG. 9 , the server 902 determines whether the synthetic data set 970 including data generated by a plurality of provider terminals satisfies the data generation condition, thereby generating the first project 900 for data generation. ) can be determined. Specifically, the server 902 performs a first generation condition for requesting that the synthesized data set 970 generate data having a first association with the reference data set 910, the reference data set 910 Satisfying the second generation condition requiring generation of data having a second association relationship and the third generation condition requiring generation of data having a third association relationship with respect to the reference data set 910 at or above a predetermined criterion It can be judged whether For example, the server 902 may terminate a project for data generation when the synthetic data set 970 satisfies all of the plurality of creation conditions. Also, for example, the server 902 may terminate a data generation project when the synthetic data set 970 satisfies a predetermined ratio or more among the plurality of generation conditions. As a specific example, the server 902 checks the rate at which data is generated in a specific area where data generation is requested based on the third data image 960c corresponding to the synthetic data set 970, thereby generating the plurality of data. It may be determined whether or not the conditions are satisfied with a predetermined criterion or more.

10 is a diagram for explaining an operation of updating project information for data generation by an electronic device, according to various embodiments.

Referring to FIG. 10 , when a request for data generation is received, the electronic device may generate request information 1010 based on the request and store it in the memory 210 . At this time, the request information 1010 is a generation condition 1011 associated with data generation requirements, sample data 1013 received from a data consumer, a reference data set 1015, or a data set to be created. Imaging results are virtually created It may include at least a part of the target image 1017 generated by doing so.

In addition, the electronic device stores reference information 1030 including various reference data sets associated with the synthetic data set (eg, a database (DB) built on the basis of a synthetic data set generated within the platform) into a memory ( 210) can be stored.

In addition, the electronic device may generate generation information 1050 including information about the generated synthesized data and store it in the memory 210 .

According to various embodiments, the electronic device may perform a reflection operation 1060 of generating the request information 1010 based on the reference information 1030 . Specifically, the electronic device may generate the request information 1010 based on the reference information 1030 according to the reflection operation 1060 . For example, the electronic device may obtain the request information 1010 by including the first reference data set 1031 included in the reference information 1030 . In this case, the request information 1010 includes not only the first reference data set 1015, but also a creation condition defined based on similarity with the first reference data set 1031 or the first reference data set 1031. ) may include a target image reflected therein, but is not limited thereto. The reflection operation 1060 may be performed in a step of generating a project for generating data.

In addition, the electronic device may perform a comparison operation 1070 of comparing the requested information 1010 and the generated information 1050 in order to determine whether requested data and generated data correspond. Specifically, the electronic device uses the synthetic data set 1051 included in the creation information 1050 and the creation condition 1011 included in the request information 1010 to determine whether the generated data meets the required conditions. can be compared For example, the electronic device performs the comparison operation 1070 by evaluating the quality of the generated synthetic data set 1051 to determine whether the quality required by the creation condition 1011 is achieved. However, the comparison operation ( 1070) can be performed. The comparison operation 1070 may be performed while a project for generating data is in progress.

In order to evaluate the quality of the synthetic data set described above, the electronic device may store and use a quality evaluation model in advance. Specifically, the electronic device may calculate a distance between data included in the synthesized data set, and evaluate the quality of the synthesized data set based on the distance. For example, the electronic device may calculate an evaluation index representing the quality of the synthesized data set based on at least one of density, bias, and uniformity between data of the synthesized data set identified based on the distance value between the data. .

Also, the electronic device may perform an update operation 1080 of updating the reference information 1030 based on the generation information 1050 . Specifically, the electronic device may update the reference information 1030 by storing the generated synthetic data set as a reference data set in a database. For example, the electronic device acquires the second reference data set 1033 based on a synthesized data set generated based on the first synthesized data set, the second synthesized data set, and the third synthesized data set, and The reference information 1030 may be updated to include the reference data set 1033. In this case, the update operation 1080 may be performed after the project for generating data is finished.

11 is a diagram illustrating a method of performing a data generation operation by providing a data image by an electronic device, according to various embodiments.

Referring to FIG. 11 , the electronic device may acquire a reference image 1120 based on a reference data set 1110 using a data imaging tool 1150 . In this case, the reference image 1120 may be data represented by visualizing data included in the reference data set 1110 as a data point.

In addition, the electronic device may generate the reference image 1120 including a visual display corresponding to at least one generation condition associated with the requested data. Specifically, the electronic device may display a first visual display 1121 corresponding to a first generation condition (eg, data having a first association relationship with a reference data set) and a second generation condition (eg, reference data set). The reference image 1120 may be generated by including data having a second association relationship with the reference data set) and a third generation condition (eg, data having a third association relationship with the reference data set). In this case, the electronic device may provide the visual display to a region requiring data on an imaging space in which a data image is defined. For example, the electronic device may generate the first visual indication 1121 to indicate a first area of the imaging space, and generate the second visual indication 1123 to indicate a second area of the imaging space. and generate the third visual indication 1125 to indicate a third region of the imaging space. As the guide for data generation is visually provided in this way, the data provider terminal may be requested to generate data corresponding to a region corresponding to the visual display.

Also, the electronic device may provide a data generating tool corresponding to at least one generating condition to at least one provider terminal. Specifically, the electronic device may select and provide the most appropriate data generation tool for generating data meeting the generation condition, based on the at least one generation condition. For example, the electronic device may provide the first generation tool 1130a to the first data provider to request generation of data according to the first generation condition, and request generation of data according to the second generation condition. The second generation tool 1130b may be provided to the second data provider to request, and the third generation tool 1130c may be provided to the third data provider to request generation of data according to the third generation condition. can Accordingly, the first data provider may generate the first synthetic data set 1140a using the first creation tool 1130a, and the second data provider may use the second creation tool 1130b to generate the first synthetic data set 1140b. 2 synthetic data sets 1140b can be created, and a third data provider can create a third synthetic data set 1140c using the third creation tool 1130c.

In addition, the electronic device may provide additional information related to data generation together with the data generation tool. For example, while providing a CG tool, the electronic device may also provide a CG parameter range that meets a creation condition, but is not limited thereto.

Also, the electronic device may obtain a data image corresponding to the generated synthetic data set using the data imaging tool 1150 . For example, the electronic device may obtain a first data image 1160a based on the first synthesized data set 1140a using the data imaging tool 1150 and obtain a second synthesized data set 1140b. Based on this, the second data image 1160b may be obtained, and the third data image 1160c may be obtained based on the third synthesized data set 1140c. In this case, the electronic device may visually display data included in the synthetic data set generated by the data provider differently from existing data.

In addition, the electronic device may obtain an aggregated data image 1170 corresponding to the synthesized data set based on the plurality of synthesized data sets 1140a, 1140b, and 1140c or the plurality of data images 1160a, 1160b, and 1160c. there is.

In this case, the electronic device may check whether a plurality of data points included in the aggregated data image 1170 are generated in a region required by at least one creation condition. For example, the electronic device determines whether a plurality of data points corresponding to the first synthetic data set 1140a included in the aggregated data image 1170 are generated in a first area of the imaging space corresponding to a first generation condition. can be checked. Accordingly, the electronic device may check whether the synthetic data set generated from the data providers is generated to meet the creation condition.

12 is a diagram illustrating a user interface in which an electronic device generates data using a data generating tool, according to various embodiments.

Referring to FIG. 12 , an electronic device (eg, a user terminal) may configure a user interface for generating data using an output device 1200 and display various pieces of information. In this case, the output device 1200 may be included in an electronic device or may be a component connected through electricity and/or communication, and as described above, a virtual display such as virtual reality and/or augmented reality as well as a general display screen. All screens can be included.

Specifically, the output device 1200 may include a first space 1210 for selecting data generation tools used to generate data. The electronic device may display tool information 1215 including tools for generating data in the first space 1210 of the output device. In this case, at least some of various data generating tools may be selected by the user, and the electronic device may be configured to provide the selected at least one generating tool.

Also, the output device 1200 may include a second space 1220 in which general attributes of data to be generated may be checked. The electronic device may display attribute information 1225 of data, such as a domain of data and a modality of data, in the second space 1220 of the output device. In this case, the attribute information 1225 of the data may be obtained based on request information for data generation. In addition, the user can check the properties of data to be generated through the data property information 1225 .

Also, the output device 1200 may include at least one space for providing generation auxiliary information corresponding to each of the at least one selected generation tool. For example, the output device 1200 may include a third space 1230 for providing first generation auxiliary information 1235 corresponding to a first generation tool (eg, CG). Also, for example, the output device 1200 may include a fourth space 1240 for providing second generation auxiliary information 1245 corresponding to a second generation tool (eg, a domain-specific tool). there is.

In this case, the generation auxiliary information may be obtained based on at least one generation parameter corresponding to the generation tool. Specifically, the electronic device may generate and display generation auxiliary information based on at least one generation parameter corresponding to a generation tool selected by the user, and display it in the third space 1230 and/or the fourth space 1240. Some of the at least one generation parameter may be adjusted based on a user input for the at least one included generation parameter, and the user sets the generation parameter of data currently being generated to the third space 1230 and/or the fourth space. It can be confirmed through (1240).

Also, generation auxiliary information displayed through an output device may be determined based on the selected generation tool. Specifically, the electronic device may identify the selected generation tool, identify at least one generation parameter matching the identified generation tool, and generate and provide generation auxiliary information to adjust or check the at least one generation parameter. there is. For example, the electronic device may generate at least one parameter (eg, degree of contamination, degree of wrinkle, transparency, shape, material, lid, color, Parameters specific to the waste plastic domain appearing according to various light characteristics as well as RGB such as size and whether or not labeling is attached) are checked, and based on this, generation auxiliary information can be generated and displayed in the fourth space 1240.

In addition, the output device 1200 may include a fifth space 1250 for displaying synthesized data generated (or being generated) using the selected generation tool. Specifically, the electronic device transmits visual information 1255 of the synthesized data and/or a data image (not shown) corresponding to the synthesized data to the fifth space based on the synthesized data generated by utilizing the selected generation tool. It can be displayed through (1250).

13 is a flowchart illustrating a method of visualizing and providing generated data together by an electronic device, according to various embodiments.

14 is a diagram illustrating a user interface that visualizes data generated by an electronic device and provides the same, according to various embodiments.

Referring to FIG. 13 , the electronic device may obtain a reference data set based on the request information for data generation (S1310). In addition, the electronic device may display a reference image obtained by visualizing the reference data set on an imaging space through an output device (S1320). For example, referring to FIG. 14 , the electronic device may acquire a reference image 1410 based on a reference data set corresponding to the requested information, and the reference image 1410 is stored in a first space 1401 of the output device. ) can be displayed.

In addition, the electronic device may generate a first synthetic data set according to a user input using a data generating tool (S1330). At this time, the data generation tool may be selected by user input as described with respect to FIG. 12, but is not limited thereto, and the electronic device selects a generation tool according to a predetermined method according to the property of data for which generation is requested. It may also be provided to the user terminal. For example, referring to FIG. 14 , the electronic device may display the first synthesized data set 1420 generated using the data generation tool in the second space 1402 of the output device. In this case, the second space 1402 may be composed of the user interface shown in FIG. 12, but is not limited thereto.

In addition, the electronic device may display a first data image obtained by visualizing the first synthetic data set and the reference data set on the imaging space (S1340). Specifically, the electronic device may obtain the first data image by visually displaying the reference data set and the first synthesized data set differently (eg, different colors). For example, referring to FIG. 14 , the electronic device may obtain a first data image 1430 by displaying the reference data set 1410 and the first synthetic data set 1420 on a virtual imaging space. , and the first data image 1430 can be displayed in the third space 1403 of the output device.

Additionally or alternatively, the electronic device may display a second data image obtained by visualizing the first synthesized data set, the reference data set, and the additionally received second synthesized data set on the imaging space. In this case, the second synthesized data set may be data additionally generated from the terminal from which the first synthesized data set is received, or may be data generated from another terminal.

15 is a flowchart illustrating information that may be additionally provided by an electronic device in relation to data generation, according to various embodiments.

16 is a diagram illustrating an example of a user interface through which an electronic device provides additional information related to data generation, according to various embodiments.

17 is a diagram illustrating another example of a user interface through which an electronic device provides additional information related to data generation, according to various embodiments.

Referring to FIG. 15 , after generating the first synthetic data set according to step S1330 of FIG. 13 , the electronic device may generate and provide goal achievement information associated with whether a creation condition included in the request information is satisfied. (S1510). Specifically, the goal achievement information may include a degree of achievement of a creation condition identified by the request information or a degree of matching with required data. For example, the electronic device may visually express and provide the degree to which a synthetic data set generated by a data provider matches a required generation condition.

For example, referring to FIG. 16 , the electronic device uses an output device 1600 to output a reference image 1610 corresponding to a reference data set and a first data image corresponding to the reference data set and the first composite data set ( 1620) can be displayed. In this case, the electronic device may generate and provide a visual target image 1650 for the synthesized data set to be generated. In this case, the target image 1650 may be a data image corresponding to a synthesized data set to be created. The electronic device may generate and provide the target image 1650 by inferring a data point to be created according to the requested information. In addition, the electronic device may generate goal achievement information 1670 indicating a degree to which the first synthetic data set satisfies a data generation condition, and display the generated goal achievement information 1670 through the output device 1600 . In this case, the electronic device may generate the goal achievement information 1670 by visualizing and displaying the achievement rate in the form of a bar, but is not limited thereto. In addition, when the generated first synthetic data set includes outlier data 1625 that does not meet the creation condition, the electronic device further provides a visual display to induce the user to check the outlier data 1625 can do. In addition, the electronic device is not limited thereto, and the electronic device may request improvement of the outlier data 1625 to the user terminal or may provide improved data.

Optionally, additionally, or alternatively, after the electronic device generates the first synthetic data set according to step S1330 of FIG. 13 , information on participants participating in data generation and contribution information related to the degree of data generation of the participants Can be generated and provided (S1530). Specifically, the participant information may refer to information about data providers participating in a data generation project, and the contribution information may refer to information indicating the generation contribution of each provider determined based on the data generated by each data provider. can

For example, referring to FIG. 17 , the electronic device may use an output device 1700 to display a data image 1710 of synthesized data being generated through a data generation project. In this case, the electronic device may display a data image 1710 including a visual effect 1715 for displaying data generated by a user terminal to which the output device 1700 is connected. Also, the electronic device may display participant information 1720 indicating information about data providers participating in the data generation project using the output device 1700 . In addition, the electronic device may display contribution information 1730 indicating the degree of contribution of each data provider to data generation using the output device 1700 . In this case, the electronic device may provide a participant corresponding to the user terminal connected to the output device 1700 and a visual effect 1750 for displaying the contribution of the participant.

[Data trading environment]

An electronic device according to various embodiments of the present disclosure may provide a transaction environment for a data set (eg, a synthetic data set) between various entities. In the case of data transaction through the platform, it is necessary to provide a safe transaction environment by storing the information related to the transaction in a decentralized manner, and also to distribute the rewards accompanying the transaction in a fair manner among the data providers who generated the data. standards are needed.

In order to provide a transaction environment that is safe and has clear reward distribution, an electronic device according to various embodiments of the present disclosure is a data transaction method based on a blockchain network and a contribution evaluation method for data generation for clear reward distribution. provides

Hereinafter, a data transaction method based on the aforementioned blockchain network and a method for evaluating contribution to data generation for distribution of clear rewards will be described in detail.

18 is a diagram for explaining a function for an electronic device to provide a data transaction environment, according to various embodiments.

19 is a diagram illustrating a method of providing a data transaction environment by an electronic device according to various embodiments.

Referring to (a) of FIG. 18, the electronic device may obtain a synthetic data set from a plurality of provider terminals (S1850). Since the detailed method for generating a synthetic data set from a plurality of provider terminals has been described above, it will be omitted.

For example, referring to FIG. 19 , a plurality of provider terminals (eg, provider #1, provider #2, and provider #3) generate a plurality of sub data sets 1915 using a data creation tool. can Also, the electronic device may obtain a synthetic data set 1910 based on the plurality of sub data sets 1915 and the reference data set 1911 provided for data generation.

Also, again referring to (a) of FIG. 18 , the electronic device may acquire and store contribution information including contributions of each of the plurality of provider terminals based on the synthetic data set (S1860). In this case, the contribution information may include not only the contribution of each of the plurality of provider terminals (supplier contribution information) but also other information, which will be described in detail with reference to FIG. 24 .

For example, referring to FIG. 19 , the electronic device may generate contribution information 1920 reflecting data contribution levels of a plurality of provider terminals by determining the synthetic data set 1910 according to a predetermined criterion.

Also, referring back to (a) of FIG. 18 , when a data transaction is performed, the electronic device may distribute a reward accompanying the data transaction to a plurality of provider terminals based on the contribution information (S1870). In this case, the data transaction may be performed in the manner shown in (a) of FIG. 18, but is not limited thereto.

For example, referring to FIG. 19 , the electronic device may distribute a reward 1940 acquired based on a data transaction 1930 with a consumer to each of a plurality of provider terminals based on the contribution information 1920. there is. In this case, the consumer may refer to a consumer terminal that has requested generation of a data set, but is not limited thereto, and may also refer to a user terminal that intends to purchase a created data set. Also, the contribution information 1920 may include a contribution rate allocated to each of the plurality of provider terminals, and the electronic device may distribute the reward based on the allocated contribution rate. Also, in this case, the electronic device transfers the initial owner of the synthetic data set 1910 (e.g., a jointly owned or entrusted server of the data providers) and the contribution rate allocated to the data providers to the blockchain network 1950. can be recorded in the first block data 1951 of

Also, referring to (b) of FIG. 18, the electronic device may obtain a request for data transaction (S1810). In this case, the request may be received from a user terminal that wants to purchase data, but is not limited thereto, and the request may be automatically generated as a smart contract condition is achieved.

In addition, the electronic device may perform data transaction when a predetermined criterion is achieved (S1820). At this time, the predetermined criteria may be different depending on the data transaction method. For example, the predetermined criteria are set based on whether an agreement on data transaction is generated or whether preset smart contract conditions are achieved. It can be. In addition, the electronic device may perform data transaction by mediating data transaction between user terminals or directly selling data to a data consumer.

For example, referring to FIG. 19 , when a predetermined criterion is achieved, the electronic device transfers a synthetic data set 1910 to a consumer and receives a reward 1940 from the consumer to perform data transaction 1930. can In this case, the reward 1940 may include virtual currency remitted from the consumer and/or virtual currency generated from the blockchain network 1950 from the consumer.

Also, referring to (b) of FIG. 18 again, the electronic device may transmit and store information related to the data transaction to a blockchain network (S1830).

For example, referring to FIG. 19 , the electronic device may record the transaction information associated with the data transaction 1930 and the change status of the owner in the second block data 1952 of the blockchain network 1950.

Below, we describe in detail how to trade a synthetic data set using a blockchain network.

20 is a flowchart illustrating a method for an electronic device to transact a synthetic data set obtained from a provider terminal using a blockchain network, according to various embodiments.

21 is a diagram illustrating information stored in a blockchain network as an electronic device transacts a synthetic data set obtained from a provider terminal, according to various embodiments.

Referring to FIG. 20 , an electronic device (eg, a server) may obtain a first sub-data set from a first user terminal and a second sub-data set from a second user terminal (S2010). In addition, the electronic device may acquire a first synthesized data set including the first sub-data set and the second sub-data set (S2020). In this case, the first user terminal and the second user terminal may refer to electronic devices assigned a role of data provider. The technical features described in the description of FIGS. 7 to 17 may be applied to the operations according to steps S2010 and S2020 as they are.

In addition, the electronic device may evaluate the first sub-data set and the second sub-data set according to a predetermined criterion, allocate a first contribution to the first provider terminal, and allocate a second contribution to the second provider terminal ( S2030). A detailed method of allocating contributions to provider terminals will be described below (FIG. 22).

In addition, the electronic device may obtain first block data based on the first synthetic data set, the first contribution, and the second contribution (S2040). Specifically, the electronic device may generate first block data based on the first synthetic data set, the first contribution, and the second contribution, and transmit the first block data to a blockchain network.

For example, referring to FIG. 21 , the electronic device may generate first block data 2100a composed of a HEADER 2110a and a BODY 2120b. Specifically, the electronic device includes a HEADER 2110a including hash information of a previous block and current hash information, and first transaction information 2130 generated based on the first synthetic data set, the first contribution, and the second contribution The first block data 2100a including the BODY 2110b including ) may be generated and transmitted to the blockchain network. At this time, the first transaction information 2130 includes ownership information 2131 indicating the owner of the first synthetic data set, and equity information 2133 indicating the ownership rate between co-owners when the first synthetic data set is jointly owned. and first reward information 2135 indicating a reward provided as the first synthetic data set is generated.

In this case, the ownership information 2131 may include information on the current owner and information on the past owner of the first synthetic data set. When the first synthesized data set is created for the first time, at least one user who created the first synthesized data set may be included in the ownership information 2131 as the first owner of the first synthesized data set. Also, when the first synthetic data set is traded, the ownership information 2131 may include owner change information about an owner changed by the trade. For example, the ownership information 2131 may appear in a manner in which user IDs are written together (eg, “user #1, user #2”).

Also, the equity information 2133 may be obtained based on the first contribution and the second contribution. Specifically, the electronic device determines the stake of the at least one user based on the first contribution and the second contribution determined based on the degree of contribution of the at least one user to generating the first synthetic data set. The share information 2133 may be obtained by calculating. For example, the share information 2131 may be displayed in a manner in which each user's share rate is written together (eg, user #1 60%, user #2 40%). In addition, although not shown in FIG. 21 , the share information 2133 acquired by the electronic device may further include platform contribution information indicating the degree of contribution of the platform device in generating it. Details thereof will be described below (FIGS. 24 to 29).

Also, the first reward information 2135 may include a reward related to generation of the first synthetic data set. Specifically, when the first synthetic data set is generated by at least one user terminal, the electronic device may generate and provide a predetermined reward in response to the generation of the first synthetic data set. In this case, the provided reward may be recorded in the first block data 2100a. Also, the provided reward may be distributed to the at least one user based on the share information 2133 . For example, the electronic device distributes a predetermined reward to a first user and a second user based on the first contribution and the second contribution in response to the generation of the first synthetic data set (eg, the second user). 60% for one user and 40% for the second user).

Also, referring to FIG. 20 again, the electronic device may acquire second block data based on a transaction agreement for the first synthetic data set (S2050). In this case, the transaction agreement may be achieved by approving the transaction request from the third user terminal. In this case, the third user terminal may refer to an electronic device serving as a consumer requesting generation of the first synthetic data set or an electronic device serving as a consumer requesting transaction of the generated first synthesized data set.

For example, data generation is requested from a third user terminal, a first synthetic data set is generated according to the request, and a purchase offer including a reward for the created first synthetic data set is received from the third user terminal. and the transaction agreement may be obtained by transmitting an approval for the purchase proposal. In addition, for example, a sales proposal that requires data generation from a third user terminal, generates a first synthetic data set according to the request, and includes a reward to the third user terminal for the generated first synthetic data set. The transaction agreement may be obtained by transmitting and receiving approval for the sale offer from the third user terminal. In addition, for example, a first synthetic data set is generated, a transaction proposal for the first synthetic data set generated from a third user terminal is received, and transaction content including a reward is transmitted in response to the transaction proposal; , the transaction agreement may be obtained by receiving approval for the transaction details.

For example, referring to FIG. 21 , the electronic device generates and transmits second block data 2100b including second transaction information 2140 reflecting a transaction agreement for a first synthetic data set to a blockchain network. can In this case, the second transaction information 2140 may include owner change information 2141 indicating a change status of the owner according to the transaction and second reward information 2143 including a reward accompanying the transaction. For example, when a transaction for a first synthesized data set is concluded between a first user, a second user, and a third user, the electronic device determines that the owner of the first synthesized data set is the first user and the second synthesized data set. Owner change information 2141 indicating that the user has been changed to the second user is generated, the first synthetic data set is transmitted to a third user terminal, and based on a predetermined reward received from the third user terminal The second reward information 2143 may be generated. In addition, the electronic device may generate and transmit second block data 2100b including the first transaction information 2130 and the second transaction information 2140 to a blockchain network.

Also, referring to FIG. 20 again, the electronic device may distribute the reward according to the transaction to the first provider terminal and the second provider terminal based on the first contribution and the second contribution (S2060). For example, referring to FIG. 21 , the electronic device may distribute a reward to the first user and the second user based on the share information 2133 stored in the first block data 2100a.

22 is a flowchart illustrating a method for an electronic device to provide a data transaction environment based on a smart contract, according to various embodiments.

23 is a diagram illustrating a method of generating block data accompanying smart contract-based data transaction by an electronic device, according to various embodiments.

Referring to FIG. 22 , an electronic device (eg, a server) may obtain first block data based on smart contract information including contract conditions set based on request information related to data generation (S2210). In this case, the contract condition may mean a condition for the smart contract to proceed with the transaction of the first synthetic data set. Also, the contract condition may be the same as the data creation condition included in the request information. For example, the contract conditions may be set based on properties, volume, quality, or similarity with reference data of a synthetic data set to be created. Specifically, the electronic device generates first block data including smart contract information generated based on a contract condition - at this time, when the contract condition is satisfied, a transaction for the first synthetic data set is set to be concluded, can be transmitted to the blockchain network.

For example, referring to FIG. 23 , the electronic device may generate first block data 2300a composed of a HEADER 2310a and a BODY 2320a. The above-described technical characteristics may be applied as they are to information included in HEADER and BODY of block data. In addition, the first block data 2300a generated by the electronic device includes first transaction information 2330 including information related to creation and ownership of the first synthetic data set and a smart contract for the first synthetic data set. It may include smart contract information 2340 including information related to. Since the description of the transaction information has been described above, it will be omitted. At this time, when a smart contract is generated for the first synthetic data set, the electronic device converts the smart contract information 2340 including contract conditions 2341 related to the smart contract and party information 2342 of the smart contract can create Specifically, the contract conditions 2341 may reflect conditions for a transaction to proceed according to the smart contract for the first synthetic data set, and the party information 2342 may include both parties of the transaction according to the smart contract. can reflect In addition, the contract condition 2341 includes a plurality of constraint conditions (eg, properties, volume, quality, or similarity with reference data of the synthetic data set) to which the first synthetic data set must correspond. There may be.

Also, referring to FIG. 22 again, the electronic device may obtain a first synthesized data set including at least one sub data set generated from at least one provider terminal (S2220). In addition, the electronic device may check whether the contract condition is fulfilled based on the first synthetic data set and the requested information (S2230). Specifically, the electronic device may determine that the contract condition is fulfilled when the data generation condition included in the request information is satisfied. For example, referring to FIG. 23 , it may be checked whether the constraint conditions required by the contract condition 2341 included in the first synthetic data first block data 2300a are satisfied.

In addition, when the contract condition is satisfied, the electronic device may transmit the first synthetic data set to the consumer terminal by performing a transaction according to a smart contract (S2240). Specifically, the electronic device may be configured to execute a data transaction according to a smart contract as soon as the first synthetic data set achieves the contract condition. For example, the electronic device may be set to transmit the first synthetic data set to a consumer terminal as soon as the contract condition is satisfied, and to transmit a reward from the consumer terminal corresponding thereto. In this case, the reward transmitted from the consumer terminal may be transmitted to the electronic device or provider terminal. In addition, when the first synthetic data set is generated by a plurality of provider terminals, the reward may be distributed based on contributions of the plurality of provider terminals, but is not limited thereto.

In addition, the electronic device may obtain second block data based on smart transaction information related to the transaction according to the smart contract (S2250). Specifically, as contract conditions are met, a smart transaction may be executed according to the smart contract, and the electronic device may generate second block data including smart transaction information related to the smart transaction. In this case, the smart transaction information may include information related to the smart contract and smart transaction.

For example, referring to FIG. 23 , the electronic device may generate second block data 2300b composed of a HEADER 2310b and a BODY 2320b. Specifically, the electronic device may include first transaction information 2330 and smart transaction information 2150 including information related to smart contracts and smart transactions. That is, the smart transaction information 2150 may include not only the smart contract information 2340 included in the first block data 2300a, but also information related to a smart transaction generated according to the execution of the smart contract. For example, the electronic device reflects the contract conditions 2141 included in the smart contract information 2340 and the party information 2342 included in the smart contract information 2340 to record the smart transaction. Smart transaction details 2151 and owner change information 2152 according to smart transaction, but is not limited thereto.

Below, the relationship between the creation time of the synthetic data set and the creation time of block data corresponding to the synthetic data set will be described.

An electronic device according to an embodiment may generate block data corresponding to a synthesized data set at a point in time when generation of the synthesized data set is completed by at least one user terminal. In this case, the synthetic data set may be traded according to the method according to FIGS. 20 and 21, but is not limited thereto.

Also, the electronic device according to an embodiment may generate block data corresponding to the synthesized data set at a predetermined point in time before generation of the synthesized data set is completed. That is, the electronic device may be configured to modify the synthesized data set even if block data corresponding to the synthesized data set is generated.

For example, the electronic device may generate block data corresponding to the synthesized data set at the time of starting generation of the synthesized data set. In this case, the composite data set may include only a reference data set, and block data corresponding to the composite data set may be generated before a provider terminal for generating the composite data set is determined. Also, in this case, the first owner reflected in the ownership information of the block data may be a server (manager terminal) that controls generation of the synthetic data set.

As another example, the electronic device may generate block data corresponding to the synthesized data set at any point in time when the synthesized data set is being generated by a plurality of provider terminals. In this case, the first owner reflected in the ownership information of the block data may be at least one user terminal participating in the generation of the synthetic data set. It may be a share of at least one user terminal whose owner participates in the creation of a synthetic data set. also,

As described above, when block data corresponding to the synthetic data set is generated at a predetermined time before the creation of the synthetic data set is completed, the synthetic data set can be traded according to the smart contracts of FIGS. 22 and 23, Not limited to this. In this case, the electronic device may update the synthetic data set according to the data generation of at least one provider terminal, and if the updated synthetic data set meets the contract conditions at a specific point in time, execute the smart transaction according to the smart contract. can be set.

Below, a method of obtaining contribution information for a data set generated by a plurality of parties will be described.

24 is a diagram illustrating a general method of obtaining contribution information by an electronic device according to various embodiments.

Referring to FIG. 24 , the electronic device may generate contribution information 2400 based on provider contribution information 2410 and platform contribution information 2420 .

In this case, the provider contribution information 2410 may be information reflecting the contribution of the data provider who directly generated the data set. Specifically, the provider contribution information 2410 includes quality information 2411 reflecting a contribution associated with the quality of generated data, difficulty information 2413 reflecting a contribution associated with the generation difficulty of generated data, and generated data. It may include volume information 2415 reflecting the contribution associated with the amount of .

Also, the platform contribution information 2420 may be information reflecting the contribution of a platform that provides a data set creation environment. Specifically, the platform contribution information 2420 is the reference contribution information 2421 related to the contribution of the reference data provided as a reference to the synthetic data to be generated, and the contribution of the data generation tool used to generate the synthetic data. associated generating tool contribution information 2423 and other tool contribution information 2425 that is associated with the contribution of other tools, such as a quality assessment model or data imaging tool.

Accordingly, the electronic device may obtain contribution information 2400 in which the contribution of the provider that directly generates the data and the contribution of the platform providing the data generation environment are reflected.

25 is a diagram illustrating a method for an electronic device to acquire contribution information according to quality information according to various embodiments.

Referring to FIG. 25 , the electronic device may acquire a first sub data set from a first provider terminal and a second sub data set from a second provider terminal (S2510). In this case, the electronic device may obtain a synthetic data set based on the first sub-data set and the second sub-data set.

In addition, the electronic device inputs the first sub-data set and the second sub-data set to the pre-stored quality evaluation model 2500, thereby obtaining first quality information corresponding to the first sub-data set and the second sub-data set. Corresponding second quality information may be acquired (S2520). Specifically, the electronic device determines the contribution of the data provider terminal to the creation of the synthetic data set with respect to the synthetic data set including the first sub-data set and the second sub-data set, using the first sub-data set. Quality information may be obtained using the quality evaluation model 2500 based on a data set and a synthetic data set including the second sub-data set.

In addition, the electronic device may obtain contribution information based on the first quality information and the second quality information (S2530). Specifically, the electronic device may generate contribution information by allocating a first contribution to a first provider and a second contribution to a second provider based on the first quality information and the second quality information. . In this case, the contribution information may further include not only contribution information of the provider but also contribution information of a platform providing an environment for creating a synthetic data set. For example, the quality of a first sub-data set generated by a first supplier identified by the first quality information is higher than the quality of a second sub-data set generated by a second supplier identified by the second quality information. In a good case, the electronic device may generate contribution information by allocating a high contribution degree to the first provider.

Also, the electronic device may generate a data fund based on the contribution information (S2540). In this case, the data fund may be an intangible asset in which an ownership stake in the synthetic data set is defined based on a contribution. Specifically, a plurality of providers may jointly own a synthetic data set according to the percentage of ownership identified by the data fund. As described above, the electronic device can store ownership information on the synthetic data set by establishing a data fund, and when a reward is generated as the synthetic data set is created or traded, the reward can be distributed based on the data fund. there is.

FIG. 26 is a diagram illustrating a method of generating quality information for a generated data set by an electronic device according to various embodiments.

Referring to FIG. 26 , in order to obtain quality information in step S2520 of FIG. 25 , the electronic device meets at least one pre-stored quality criterion (eg, a first quality criterion defined based on a distance relationship or a generation condition). At least one quality indicator may be calculated based on at least one of the second quality criteria defined based on the degree to which the quality is satisfied (S2521).

Specifically, the electronic device may check a distance relationship between data included in the data set, and obtain a quality index related to the distance based on the checked distance relationship. For example, the electronic device may check at least some of the density, bias, or distribution uniformity of the data set by calculating a distance between data included in the data set. Also, the electronic device may calculate a quality index related to the distance of the data set based on density, bias, or distribution uniformity of the data set. As a specific example, the electronic device may determine that the quality index related to the distance is higher when the density of the data set is constant, the bias is low, and the distribution is uniform. Also, for example, the electronic device may calculate a quality index related to conditional satisfaction based on a degree to which the generated data set meets a requested creation condition. Specifically, the electronic device may determine that the quality index related to the condition is higher as the data set meets the creation condition.

Also, the electronic device may generate quality information based on the at least one quality index (S2523).

In this way, the electronic device can calculate the contribution of each provider according to the quality by evaluating the quality of data generated by each provider, and can obtain provider contribution information accordingly.

In addition, the present invention is not limited thereto, and as shown in FIG. 24 , the electronic device may obtain supplier contribution information by further considering difficulty information and volume information. Specifically, the electronic device may assign a high contribution rate to a provider that generates data with a high level of difficulty, and may allocate a high contribution rate to a provider with a large volume of generated data.

27 is a flowchart illustrating a method of obtaining platform contribution information by an electronic device according to various embodiments.

Referring to FIG. 27 , the electronic device may acquire a synthetic data set from at least one provider terminal (S2710).

In addition, the electronic device may check provider contribution information based on the synthetic data set (S2720). In this case, the method disclosed in FIGS. 25 and 26 may be applied as a specific method of confirming the supplier contribution information.

Also, the electronic device may check reference contribution information based on the first contribution criterion (S2730). For example, the first contribution criterion may include at least one of a proportion of a reference data set in a synthesized data set, an amount of the reference data set, a quality of the reference data set, or a similarity of the synthesized data set with the reference data set. can be set as a basis. Specifically, the electronic device increases the proportion of the reference data set in the synthetic data set, the larger the amount of the reference data set, the better the quality of the reference data set, and the higher the similarity between the reference data set and the synthetic data set. The contribution of the reference data set reflected in the reference contribution information can be assigned high.

In addition, the electronic device may check the creation tool contribution information based on the second contribution criterion (S2740). For example, the second contribution criterion may include whether or not the generation tool is used, the properties of the generation tool used (eg, the quality of the generation tool, such as whether it is a high-quality generation model or a generation tool with a high construction cost), the generation tool It may be set based on at least one of the frequency of use of or the number of used generating tools. Specifically, the electronic device may use a high-quality generation tool with a high frequency to generate a synthetic data set, and allocate a higher contribution rate of the generation tool that is reflected in the generation tool contribution information as various generation tools are used.

In addition, the electronic device may check other tool contribution information based on the third contribution criterion (S2750). For example, the third contribution criterion may be applied when other tools such as data imaging tools or quality evaluation tools are used. Specifically, when other tools such as a data imaging tool or a quality evaluation tool are used in the process of generating a synthetic data set, a predetermined contribution according to the use of the other tools may be allocated as other tool information.

In addition, the electronic device may obtain platform contribution information based on reference contribution information, creation tool contribution information, and other tool contribution information (S2760). In addition, the electronic device may obtain contribution information based on the provider contribution information and the platform contribution information (S2770).

In this case, the electronic device may generate platform contribution information for each of the at least one provider terminal. Specifically, the electronic device may calculate the platform contribution for each provider according to the degree to which the at least one provider terminal uses the platform environment.

In addition, the electronic device may distribute rewards in consideration of platform contribution information. Specifically, the electronic device may distribute rewards generated according to the generation or transaction of synthesized data based on provider contribution information, and may determine a reward to be finally distributed to each provider based on platform contribution information. For example, the electronic device may determine the final reward by excluding a platform fee calculated based on platform contribution information from the rewards distributed to the provider. As a specific example, the electronic device may first distribute a first reward to a first provider, and then provide a second reward excluding a platform fee from the first reward to the first provider in consideration of the platform contribution of the first provider. there is.

28 is a diagram illustrating a method of improving data of an electronic device providing a platform, according to various embodiments.

29 is a diagram illustrating a method of obtaining platform contribution information as an electronic device providing a platform improves data according to various embodiments. Reference numerals 2910, 2930, and 2940 in FIG. 29 are illustratively shown as data images, but may also mean actual data.

Referring to FIG. 28 , the electronic device according to an embodiment may acquire a reference data set based on request information for data generation (S2810). In addition, the electronic device may obtain a first synthetic data set generated using the first data generation tool (S2820). For example, referring to FIG. 29 , the first electronic device 2900a may obtain a reference data set 2910 including a visual display 2920 representing requested information. For example, the first electronic device 2900a may be a data provider terminal that has received a reference data set in which the request information is reflected. In this case, the provider terminal may generate data based on the reference data set 2910 according to the request information. Accordingly, a first synthesized data set 2930 may be obtained based on the reference data set 2910 .

Also, referring to FIG. 28 again, the electronic device may check whether the first synthetic data set satisfies a first predetermined condition (S2830). In this case, the first predetermined condition may be set based on the first synthetic data set and the requested information. Specifically, the electronic device may determine that the first synthetic data set satisfies the first predetermined condition when the generation condition included in the request information is greater than or equal to a predetermined threshold.

For example, referring to FIG. 29 , the first predetermined condition may be set based on an amount of data corresponding to a generation condition among synthesized data generated by a provider. Also, the first predetermined condition may be set based on a ratio of data generated in an area inside the visual display 2920 reflecting the requested information. For example, the second electronic device 2900b satisfies a first predetermined condition when the amount of data corresponding to the creation condition or the ratio of data corresponding to the requested information in the first synthetic data set is greater than or equal to a threshold value. It can be judged that For example, the second electronic device 2900b may be a server that determines whether a condition of a synthetic data set is met.

If the first synthesized data set does not satisfy the first predetermined condition, the operation of step S2820 may be performed again to generate a synthesized data set.

Also, referring to FIG. 28 again, the electronic device processes the first synthesized data set based on a first algorithm when the first synthesized data set satisfies the first predetermined condition, thereby obtaining the first synthesized data. The set can be improved (S2840). Here, data improvement means modifying or deleting part of the data included in the data set or generating additional data.

Specifically, the first algorithm is an algorithm for improving the first synthetic data set, and a specific operating method of the electronic device (processor) is as follows.

The electronic device may generate a first set of data points by mapping the first synthetic data set to a first embedding space. In this case, the first set of data points may reflect the distribution of the first synthetic data set. Specifically, each data included in the composite data set may correspond to each data point included in the first data point set. In addition, the electronic device may obtain a first data image corresponding to the first synthetic data set by displaying the first data point set in an imaging space.

In addition, after generating the first data point set, the electronic device adjusts attributes of at least some data points among a plurality of data points included in the first data point set, thereby obtaining a first improved data point set. can be obtained. In this case, the attributes of the data points may include, but are not limited to, the number of data points, the location of the data points in an embedding space, and the distance between data points. For example, the electronic device may acquire the first improved data point set by adjusting positions of at least some of the plurality of data points included in the first data point set in the first embedding space. Also, for example, the electronic device may acquire the first improved data point set by additionally generating a predetermined data point to the first data point set.

In addition, after generating the first improved data point set, the electronic device may obtain a first improved synthetic data set based on the first improved data point set. Specifically, the electronic device may generate the first improved synthetic data set using a pre-stored generative model. For example, the electronic device may generate a first enhanced composite data set by decoding the first enhanced data point set defined on the first embedding space into an input space, but is not limited thereto. As the attribute of data is adjusted in the embedding space, the first improved synthetic data set may have a different attribute from the first synthesized data set (eg, higher quality data or higher volume data). .

For example, referring to FIG. 29 , when the first synthetic data set 2930 satisfies a first predetermined condition, the second electronic device 2900b performs a first improvement based on the first synthetic data set. A synthesized data set 2940 may be created.

Also, if the second electronic device is a platform providing device (eg, a server or a manager terminal), the second electronic device may obtain platform contribution information. Specifically, the second electronic device may obtain the platform contribution information based on the first synthetic data set 2930 and the first improved synthetic data set 2940 . Specifically, the second electronic device reflects the degree of improvement of data according to the contribution of the reference data set 2910 and the first algorithm used to generate the first improved synthetic data set 2940, Platform contribution information can be obtained. For example, the second electronic device 2900b may transmit, to the first electronic device 2900a, a final reward excluding a fee for the improvement from the rewards generated by the generation or transaction of the first improved synthetic data set. .

[Data Utilization Environment]

An electronic device according to various embodiments of the present disclosure may provide a data utilization environment in which a data set (eg, a synthetic data set) can be used in various ways.

Hereinafter, various embodiments of utilizing a data set generated or traded through a platform environment in a platform environment will be described.

30 is a diagram illustrating a method of providing feedback on data generation by an electronic device using a reference model, according to various embodiments.

Referring to FIG. 30 , a platform providing device (eg, a server) may obtain a synthetic data set 3001 (S3010). At this time, the server may receive the synthetic data set 3001 generated from at least one provider terminal.

Also, the server may learn the reference model 3005 based on the synthetic data set 3001 (S3020). In this case, the reference model 3005 may be an AI model (eg, a deep learning model, a NN model, etc.) previously stored in the server. For example, the server may train a waste plastic classification model based on a synthetic data set for waste plastic obtained from at least one supplier terminal.

In addition, the server may evaluate the learned reference model 3005 and obtain a result of the evaluation (S3030). Specifically, the server may evaluate the learned reference model 3005 to determine whether or not the learned reference model 3005 works well in a real situation. For example, the server may obtain an evaluation data set 3003 from the first electronic device, obtain a result by inputting the evaluation data set 3003 into the learned reference model 3005, and Based on the result, performance of the learned reference model 3005 may be evaluated. In this case, the evaluation data set 3003 may be data collected from the first electronic device. For example, the first electronic device may acquire the evaluation data set 3003 by capturing an image (eg, a waste plastic image) of an object of the same domain as that of the synthetic data set 3001. there is. Also, for example, the first electronic device may acquire the evaluation data set 3003 by randomly generating data about an object of the same domain as that of the synthetic data set 3001 .

In addition, when the result output for the evaluation data set 3003 through the reference model 3005 does not satisfy a predetermined criterion, the server transmits feedback on the result to the at least one provider terminal. Yes (S3040). For example, the server may transmit failure data to the at least one provider terminal, request generation of additional data to overcome a failure case, or request improvement of generated data, but is not limited thereto. As a specific example, the server may transmit the evaluation data set 3003 as failure data to the at least one provider terminal, and may request additional generation of a synthetic data set associated with the evaluation data set 3003. For example, the server may transmit a message requesting generation of data similar to the evaluation data set 3003.

Further, the feedback may include a range of generation parameters for generating data associated with the evaluation data set, the generation parameters being used by the data generation tool to generate synthetic data. Specifically, the server may provide a range of generation parameters to be applied to a data generation tool to generate data similar to the evaluation data set.

In the process of learning and evaluating a reference model using learning data, a problem of deriving inappropriate results may occur depending on the surrounding environment in which the data is acquired. As a representative example, when learning image data of the “autonomous driving” domain, an autonomous driving solution learned with image data obtained from country A may not produce appropriate results when input image data acquired from country B.

To solve this problem, an electronic device according to an embodiment of the present disclosure may provide feedback for domain adaptation in learning a reference model. Specifically, the electronic device may distribute a reference model learned based on a data set acquired in the first surrounding environment to a device used in the second surrounding environment. In this case, the electronic device may perform an operation of adapting the domain of data acquired from the first surrounding environment to the domain of data acquired from the second surrounding environment. For example, the electronic device may generate data obtained from a second surrounding environment based on data obtained from a first surrounding environment, but is not limited thereto. As a specific example, the electronic device may transmit feedback requesting generation of synthesized data associated with the second surrounding environment to at least one data provider terminal.

In addition, at least one provider terminal may generate a synthetic data set based on the received feedback.

31 is a diagram illustrating a method for an electronic device to learn and demonstrate a waste plastic classification model, according to various embodiments.

Referring to FIG. 31 , the electronic device may learn a reference model 3103 based on the generated first synthetic data set 3101 (S3110). In this case, the first synthetic data set 3101 may be an image data set of the waste plastic domain, but is not limited thereto. In addition, the reference model 3103 may be an AI model for classifying waste plastic according to a predetermined criterion, but is not limited thereto. For example, data related to waste plastics input to the reference model 3103 may be classified into at least one class based on standards such as contamination level, wrinkle degree, label attachment, and the like. Also, for example, the reference model 3103 may be a model for determining recyclable waste plastic among waste plastics. Specifically, the electronic device may be configured to receive a specific plastic image using the reference model and determine whether the plastic represented by the plastic image is recyclable plastic.

Also, the electronic device may distribute the learned reference model 3103 to a platform environment (S3120). In this case, 'distribution to the platform environment' may mean providing the reference model to users who use the platform environment so that they can demonstrate it.

In addition, without being limited thereto, the electronic device may distribute the learned reference model 3103 to a real-use environment. Specifically, the electronic device may distribute the learned reference model 3103 to an actual environment in which a task is performed using the reference model.

In addition, at least one user terminal using the platform environment may demonstrate the distributed reference model 3103 based on actual data (S3130). Specifically, a user terminal using a platform environment inputs an evaluation data set 3111 to the reference model 3103 in order to check whether the solution 3100 built using the reference model 3103 works well. can do.

Also, in this case, the electronic device may demonstrate the solution 3100 based on the reference model 3103 through a preset output environment (demonstration environment within the platform or actual use environment 3105). In this case, the preset output environment may be a demonstration environment for simulation within the platform. In addition, it is not limited thereto, and the preset output environment may be a working environment for actual use.

Specifically, the electronic device may output the received evaluation data set 3111 to the output environment 3105. Also, the electronic device may output a result of the solution 3100 based on the reference model 3103 using at least one output device 3107 . For example, when the solution 3100 is a device for determining recyclable waste plastic using the reference model 3103, the at least one output device 3107 outputs data determined as recyclable plastic. Environment 3105 can be displayed. As a specific example, the at least one output device 3107 may include an AR projector. In this case, the at least one output device 3107 may project a visual effect onto the first plastic data 3112 classified as recyclable plastic. Through this, a user who demonstrates or uses the solution 3100 can visually check recyclable plastic.

In addition, the electronic device may relearn the reference model 3103 by feeding back a failure case generated during the demonstration of the solution (S3140). Specifically, the electronic device may optimize the reference model by additionally learning a failure case of the reference model being demonstrated in a platform environment. For example, when a device for classifying recyclable plastics cannot actually determine the second plastic data 3113 for recyclable plastics, the electronic device may store the second plastic data 3113 as a failure case. . In addition, the electronic device may re-learn the reference model 3103 based on the second plastic data 3113 and additionally generate synthesized data similar to the second plastic data 3113, The reference model 3103 may be re-learned based on the synthesized data.

Also, without being limited thereto, the electronic device may provide feedback to at least one data provider terminal. Specifically, the electronic device may request generation of additional data related to the failure case of the reference model to the at least one provider terminal.

Hereinafter, an embodiment in which an electronic device generates a synthetic data set related to outlier data and uses it to learn and demonstrate a model for discriminating outlier data will be described.

Here, outlier data is a concept opposite to normal data.

Normal data may mean normal data in a specific domain. For example, in data of a plastic domain, a plastic image may be normal data, and in data of a financial transaction domain, a remittance record in a normal range may be normal data.

Outlier data may refer to data that is not common, unusual, abnormal, or inappropriate in a specific domain. For example, in the data of the plastic domain, images that do not contain plastic may be outlier data, and in the data of the financial transaction domain, records of remittances that exceed the normal range or whether or not they are involved in crimes need to be judged. Records and the like may be outlier data.

In particular, in relation to financial data, it is important to accurately identify outlier data in order to detect phishing crimes and tax evasion.

32 is a flowchart illustrating a data construction method for an electronic device to learn a model for discriminating outlier data, according to various embodiments.

Referring to FIG. 32 , the electronic device may check a reference data set (S3210). In this case, the reference data set may be data previously stored in the electronic device, or may be normal data identified from outlier data. That is, the reference data set may be data usable as normal data to learn a model for discriminating outlier data.

In addition, the electronic device may acquire data generation conditions set based on the reference data set (S3220). In this case, the data generation condition may be set based on a relationship with a reference data set. Specifically, the data generation condition may be set based on a degree of similarity with a reference data set based on a distance to the reference data set. For example, the electronic device may obtain a data generation condition in which the degree of similarity with the reference data set, which is normal data, is set to be less than or equal to a threshold value, but is not limited thereto.

Also, the electronic device may provide the data generation condition to at least one data provider terminal, and the data provider terminal may acquire synthesized data according to the data generation condition. (not shown)

In addition, the electronic device may check the first association based on the obtained synthesized data and the reference data set (S3230). Specifically, the electronic device may check a similarity based on a distance between the synthesized data and the reference data set in order to determine a correlation between the synthesized data and the reference data set. For example, the electronic device may determine a first correlation reflecting similarity between the synthesized data and the reference data set by calculating a distance between the obtained synthesized data and the reference data set.

In addition, the electronic device may check whether the first association relationship satisfies the data generation condition (S3240).

In addition, the electronic device may determine the synthesized data as outlier data when the first correlation satisfies the data generation condition (S3250). Also, in this case, the electronic device may provide a reward according to satisfying the data generation condition to at least one provider terminal that generated the synthesized data.

In addition, the electronic device may use the outlier data for model learning together with a result of determining that the outlier data is the outlier data (S3260).

In addition, when the first association relationship does not meet the data generation condition, the electronic device may determine the synthesized data as normal data (S3270). In this case, the electronic device may provide feedback indicating that the data creation condition is not satisfied with respect to at least one provider terminal that generated the synthetic data set.

In addition, the electronic device may use the synthesized data for model learning together with a result of determining that the data is normal (S3280).

A model for determining outlier data learned according to the above-described method may be provided to a data provider as a tool for checking outlier data or may be provided for the purpose of finding abnormal data in a specific domain.

33 is a diagram illustrating a method of demonstrating a model for determining outlier data by an electronic device according to various embodiments.

Referring to FIG. 33 , the electronic device may input an evaluation data set 3301 into a first artificial intelligence model 3300 for determining outlier data.

In this case, according to the result output from the first artificial intelligence model 3300, the electronic device may classify the evaluation data set 3301 as normal data based on a predetermined criterion (S3310).

Also, according to the result output from the first artificial intelligence model 3300, the electronic device may classify the evaluation data set 3301 as outlier data based on a predetermined criterion (S3320). At this time, the electronic device may provide the outlier data (S3330).

For example, the user terminal may input a first data set associated with a financial transaction into an electronic device including the first artificial intelligence model 3300. In this case, when the first data set is determined to be a normal transaction according to a predetermined criterion, the electronic device may output a result of normal transaction to the user terminal or may not output any result. In addition, when the first data set is determined to be an abnormal transaction (eg, suspicious transaction or remittance) according to a predetermined criterion, the electronic device may output the result to the user terminal.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (15)

A method for providing a virtual environment in which at least one data provider terminal can generate data,
by at least one processor of the electronic device;
Receiving a request for generating a data set from a data consumer terminal;
checking a reference data set previously stored in a memory based on the received request;
A first virtual environment for acquiring first request information including a first generation condition set based on a relationship with the reference data set, and generating data based on the first request information - the first virtual environment providing a first synthetic data set implemented to enable access by at least one data provider terminal, and obtaining a first synthetic data set based on synthesized data generated from at least one user terminal accessing the first virtual environment; ;
checking whether the first synthetic data set satisfies the first creation condition; and
Blocking user access to the first virtual environment based on a result of determining that the first synthetic data set satisfies the first creation condition;
method. According to claim 1,
The request includes at least one of a data set attribute, wherein the data set attribute includes a domain of data and a modality of data, quality of the data set, or sample data.
method. According to claim 1,
The step of checking the reference data set,
Searching for a reference data set corresponding to the request among a plurality of reference data sets previously stored in the memory
method. According to claim 1,
The first generation condition is set based on the similarity with the reference data set
method. According to claim 2,
The first request information includes the first generation condition, the reference data set, and the sample data
method. According to claim 1,
Acquiring level information indicating a level of data to be generated based on the first request information, selecting a first data provider corresponding to the level information based on the level information, and selecting a first data provider corresponding to the selected first data provider. Providing information about the first virtual environment to a first user terminal; further comprising
method. According to claim 1,
The step of checking whether the first generation condition is satisfied,
checking a degree of similarity between the first synthesized data set and the reference data set; and
Checking whether the degree of similarity corresponds to the first generation condition; including
method. According to claim 1,
Acquiring a second generation condition set based on the relationship with the reference data set; further comprising,
The first generation condition is set based on a first association relationship with the reference data set, and the second generation condition is set based on a second association relationship with the reference data set
method. According to claim 8,
Providing the first generation condition to a second user terminal accessing the first virtual environment, and providing the second generation condition to a third user terminal accessing the first virtual environment; further comprising
method. According to claim 1,
Based on the determination that the first synthetic data set does not satisfy the first generation condition, requesting the at least one user terminal to generate additional data; further comprising
method. According to claim 10,
Acquiring an improved synthetic data set based on a second synthetic data set additionally generated from the at least one user terminal; further comprising
method. According to claim 1,
The first virtual environment is implemented to provide some of a plurality of data generating tools stored in the memory according to the first request information.
method. According to claim 1,
The step of blocking user access to the first virtual environment,
storing the first composite data set in the memory.
method. A computer-readable recording medium on which a program for performing the method of any one of claims 1 to 13 is recorded. a server performing the method according to claim 1; and
and a second electronic device configured to generate synthetic data by accessing the first virtual environment provided from the server.

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