KR102573652B1 - The method and system for constrcuting repository of smart contract using definition classification based on cluster coordinate mapping - Google Patents

Abstract

One embodiment relates to a smart contract repository construction method and system using cluster coordinate mapping-based definition classification. , It relates to a method and system that can search a stored smart contract according to a user's search request.

Description

Method and system for building smart contract repository using cluster coordinate mapping-based definition classification

The following embodiments relate to a smart contract repository construction method and system using definition classification based on cluster coordinate mapping. , It relates to a method and system that can search a stored smart contract according to a user's search request.

With the advent of Bitcoin in 2009, a new paradigm of decentralized systems began. In the new distributed system, transparency and integrity are guaranteed in that all contents are shared by each user, and each contents are encrypted in the form of a block and stored in a block chain. Blockchain technology is a technology that stores transactions transmitted to the network by nodes constituting a P2P network in a block, and stores the aforementioned blocks in a chain form in each node.

The Ethereum Foundation, which succeeded Bitcoin, proposed a new blockchain system specializing in smart contracts. In 2013, Vitalik Buterin, a Russian-Canadian developer, published an Ethereum white paper titled "Next Generation Smart Contract & Distributed Application Platform", and next-generation smart contracts are one of the most important features of Ethereum.

Already in 1994, a smart contract was defined by Nick Szabo. According to Nick Szabo, an existing contract requires a real person to perform the contract in order to fulfill the terms of the contract. It claims to be able to run automatically. However, in 1994, digital materials were easily copied and manipulated, so they existed only as concepts and could not be used for specific services.

However, as smart contracts using the transparency and integrity of the blockchain were implemented through the Ethereum Foundation, the potential of smart contracts was highly evaluated. In addition, the Ethereum Foundation has developed Solidity, a language for writing smart contracts, and is developing Vyper, a language that can be written by non-developers as well. A smart contract is a program that records contract conditions based on blockchain technology and automatically executes contracts when conditions are met, and can be used for various contracts such as financial transactions.

All smart contracts stored in the Ethereum network can be checked on the website 'Etherscan'. In this way, although the codes and addresses of all smart contracts are disclosed, since smart contracts are not classified by category, it is difficult for users to analyze smart contract codes one by one in order to refer to or reuse smart contracts. .

Matters described in this background art section are prepared to enhance understanding of the background of the invention, and may include matters other than prior art already known to those skilled in the art to which this technique belongs.

The following embodiments are devised to solve the above-mentioned problems, and analyze the smart contract definition using the learned artificial intelligence model, classify and store the smart contract by category, and store the smart contract according to the user's search request. It aims to provide a solution that can search for.

Problems to be solved by one embodiment are not limited to the problems mentioned above, and other problems not mentioned will be clearly understood by those skilled in the art from the description below.

One aspect of the present invention for achieving the above object is a smart contract repository construction method performed in a server, comprising: receiving a smart contract definition; generating category information of the smart contract by inputting the definition into a definition classification model; generating a group number of the smart contract using the first similarity and the second similarity included in the category information; generating identification information of the smart contract using the first category and the group number included in the category information; generating smart contract information including at least one of the definition of the smart contract, bytecodes compiled with the definition, and category information; and storing the smart contract information in a smart contract repository.

One embodiment includes receiving smart contract query information; extracting category information of the smart contract by inputting the query information into a definition analysis model; extracting similar smart contracts having the same identification information as the identification information in the extracted category information and generating a similar smart contract list; Transmitting the similar smart contract list to a user terminal; and transmitting smart contract information of a similar smart contract selected by the user to the user terminal.

The category information of an embodiment is a first category that is classification information based on the implementation language of the definition, a second category that is classification information based on the industry in which the smart contract is used, and classification information based on the type of contract in which the smart contract is used Includes a third category.

The first degree of similarity of an embodiment is a similarity value with a standard definition preset in the second category, and the second similarity is a similarity value with a standard definition preset in the third category.

One embodiment includes at least one processor; And a server comprising a memory for storing instructions instructing the at least one processor to perform at least one operation, wherein the at least one operation includes a definition of a smart contract. receiving; generating category information of the smart contract by inputting the definition into a definition classification model; generating a group number of the smart contract using the first similarity and the second similarity included in the category information; generating identification information of the smart contract using the first category and the group number included in the category information; generating smart contract information including at least one of the definition of the smart contract, bytecodes compiled with the definition, and category information; and storing the smart contract information in a smart contract repository.

According to one embodiment as described above, a smart contract repository can be built by analyzing the smart contract definition using the learned artificial intelligence model, classifying smart contracts by category and storing them.

According to the construction of the smart contract repository, when users search smart contract definitions for the purpose of reference or reuse, they do not directly check or analyze the smart contract definitions, but enter only the query items to select the desired smart contract category. It becomes easy to check, and as a result, you can find smart contracts in the desired category.

The effects of one embodiment are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description below.

1 is a diagram illustrating a smart contract repository construction system according to an embodiment.
2 is a configuration diagram of a server according to an embodiment.
3 is a configuration diagram of a control unit according to an exemplary embodiment.
4 is a diagram for explaining a blockchain network according to an embodiment.
5 is a configuration diagram of a node according to an embodiment.
6 is a diagram conceptually illustrating blocks connected to a blockchain according to an embodiment.
7 is a diagram for explaining a smart contract creation process according to an embodiment.
8 is a diagram for explaining a smart contract execution process according to an embodiment.
9 is a diagram for explaining a definition classification model according to an embodiment.
10 is a diagram for explaining category information according to an exemplary embodiment.
11 and 12 are views for explaining a group classification method according to an exemplary embodiment.
13 is a diagram for explaining a definition analysis model according to an embodiment.
14 is a flowchart of a smart contract repository construction method according to an embodiment.
15 is a flowchart of a smart contract search method according to an embodiment.
16 is a configuration diagram of a user terminal according to an embodiment.
17 is a diagram illustrating a wireless communication system that can be applied in a communication process according to an embodiment of the present invention.
18 is a diagram illustrating a base station in the wireless communication system according to FIG. 17;
19 is a diagram illustrating a terminal in the wireless communication system according to FIG. 17;
20 is a diagram illustrating a communication interface in the wireless communication system according to FIG. 17;

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings.

1 is a diagram showing a smart contract repository construction system 10 according to an embodiment.

Referring to FIG. 1, a smart contract repository construction system 10 according to an embodiment includes a server 100, a user terminal 200, an administrator terminal 201, a blockchain network 300, and a smart contract repository 310. can include

Communication between various entities included in the smart contract repository construction system 10 can be performed through a wired/wireless network. Wired/wireless networks may use standard communication technologies and/or protocols.

The server 100, user terminal 200, and manager terminal 201 in the smart contract repository construction system 10 include, for example, a computer, an ultra mobile PC (UMPC), a workstation, a net-book, and a PDA. (Personal Digital Assistants), portable computers, web tablets, wireless phones, mobile phones, smart phones, portable multimedia players (PMPs), among other electronic devices. As one, it may include all electronic devices capable of installing and executing applications related to an embodiment. The electronic device may perform overall service operations, such as composition of a service screen, data input, data transmission/reception, and data storage, under the control of an application.

The server 100 may analyze the smart contract definition received from the user terminal 200 using the learned artificial intelligence model.

The definition of one embodiment is a code that contains the contents that the contract party wants to implement as a smart contract (under what conditions the contract is automatically established, etc.). For example, the definition can be implemented in programming languages such as Solidity and Vyper. .

The server 100 can build the smart contract repository 310 by classifying and storing smart contracts by category as a result of analyzing the definition.

The server 100 may search the smart contract stored in the smart contract repository 310 according to the smart contract search request received from the user terminal 200 .

The configuration and functions of the server 100 will be described in detail below in FIG. 2 .

The user terminal 200 may transmit a smart contract definition to the server 100 to request creation and execution of a smart contract and construction of a smart contract repository.

The user terminal 200 may request the server 100 to search for a smart contract, and receive a smart contract desired by the user from the server 100.

The manager terminal 201 is a terminal of a manager of the server 100 and may input learning data for learning an artificial intelligence model to the server 100 .

The blockchain network 300 is composed of a plurality of nodes capable of communicating with each other through a communication network, and a smart contract can be created or executed in the blockchain network 300.

The smart contract repository 310 is a database that stores smart contracts, and the smart contract repository 310 may be composed of a blockchain or a security database.

In one embodiment, when the smart contract repository 310 is composed of a block chain, the smart contract repository 310 may configure a block chain network different from the aforementioned block chain network 300.

In another embodiment, when the smart contract repository 310 is configured as a secure database, a secure area among storage spaces provided in the server 100 may be used as the smart contract repository 310 .

2 is a configuration diagram of a server 100 according to an embodiment.

Referring to FIG. 2 , the server 100 according to an embodiment may include a communication unit 110, an input unit 120, an output unit 130, a memory 140, a power supply unit 150, and a control unit 160. can

The configurations shown in FIG. 2 are exemplary diagrams for implementing the embodiments of the present invention, and appropriate hardware/software configurations that are apparent to those skilled in the art may be additionally included in the server 100.

The communication unit 110 may communicate with an external device through various communication methods. For example, the communication unit 110 may communicate with the user terminal 200, the manager terminal 201, the blockchain network 300, and the smart contract repository 310 to transmit and receive various data.

The input unit 120 may receive various inputs from an operator who is a user of the server 100 and transmit them to the control unit 160 . In particular, the input unit 120 may include a touch sensor, a (digital) pen sensor, a pressure sensor, a key, or a microphone. The touch sensor may use, for example, at least one of a capacitive type, a pressure-sensitive type, an infrared type, or an ultrasonic type. The (digital) pen sensor may be, for example, a part of the touch panel or may include a separate recognition sheet. Keys may include, for example, physical buttons, optical keys, or keypads. The microphone is a configuration for receiving an operator's voice and may be provided inside the server 100, but this is only one embodiment, and may be provided outside the server 100 and electrically connected to the server 100.

The output unit 130 may provide various screens.

The memory 140 may store commands or data related to at least one other component of the server 100 . In particular, the memory 140 may be implemented as a non-volatile memory, a volatile memory, a flash-memory, a hard disk drive (HDD), or a solid state drive (SSD). The memory 140 is accessed by the control unit 160, and reading/writing/modification/deleting/updating of data by the control unit 160 can be performed. In the present invention, the term memory refers to a memory 140, a ROM (not shown) in the controller 160, a RAM (not shown), or a memory card (not shown) mounted in the server 100 (eg, a micro SD card). , memory stick). In addition, the memory 140 may store programs and data for configuring various screens to be displayed on the display area of the output unit 130 .

The power supply unit 150 receives external power and internal power under the control of the control unit 160 and supplies power necessary for the operation of each component.

The controller 160 is electrically connected to the communication unit 110, the input unit 120, the output unit 130, the memory 140, and the power supply unit 150 to control overall operations and functions of the server 100. there is. In particular, the controller 160 may provide functions described later using various modules stored in the memory 140 .

Various operations of the server 100 described below may be performed under the control of the controller 160 .

A detailed operation of the control unit 160 will be described together with a configuration diagram of the control unit 160 according to an embodiment of FIG. 3 .

Referring to FIG. 3, the control unit 160 according to an embodiment includes a blockchain management unit 161, a smart contract management unit 162, a definition classification unit 163, a repository construction unit 164, and a definition analysis unit 165 and a search unit 166.

The blockchain management unit 161 may transact various data to the blockchain network 300 and store the corresponding data in the blockchain network 300 .

The blockchain management unit 161 may transact the smart contract to the blockchain network 300.

First, the blockchain network 300 will be described.

4 is a diagram for explaining a blockchain network 300 according to an embodiment.

Referring to FIG. 4 , a blockchain network 300 of one embodiment may be composed of a plurality of nodes 20 capable of communicating with each other through a communication network.

First, we will explain the blockchain. Block chain creates online transaction information in blocks, connects the generated blocks, and distributes data to the personal digital devices of participants (peers) rather than the central management server in a peer-to-peer (P2P) network distribution environment. It is a method of jointly managing data by storing and storing data.

Specifically, the basic structure of a block chain is in the form of a collection of blocks connected one after another (chain), and is based on a peer-to-peer (P2P) method. In addition, over a certain period of time, more than half of the participants exchange transaction details with each other to confirm and approve them, and only the transaction details that have been agreed with digital signatures are made into one block. Then, the newly created block is connected to the previous block chain, and a copy is made and distributed to the user terminals (i.e. node 20) of each participant and stored.

Therefore, when using a blockchain, there is no need to separately manage a database for transaction ledgers, which reduces management costs and improves the safety of transactions because hacking is difficult due to distributed processing. The blockchain method can be applied to transactions such as stocks and real estate, and can be used in various fields related to security, such as land rights transfer or home front key.

In one embodiment, a block chain is implemented with a plurality of nodes 20 as participants, and information distributed and stored in each of the plurality of nodes 20 may be a hash value of a block.

The plurality of nodes 20 may share the information by always maintaining the latest version of information distributed and stored in each of the plurality of nodes 20 .

Each of the plurality of nodes 20 is a mobile phone, smart phone, PDA (Personal Digital Assistant), PMP (Portable Multimedia Player), all kinds of handheld that can be connected to an external server through a wireless communication network, such as a tablet PC In addition, it may include a communication device that can be connected to an external server through a network, such as a desktop PC, a tablet PC, a laptop PC, and an IPTV including a set-top box.

As described above, each of the plurality of nodes 20 may be implemented in the form of a terminal, but is not limited thereto, and may be implemented in the form of a server operated by a specific company.

A node implemented in the form of a terminal among a plurality of nodes 20 can store information shared on the blockchain in a secure area of memory, and a node implemented in the form of a server among the plurality of nodes 20 shares information shared on the blockchain. information can be stored in a secure area of the database.

That is, in one embodiment, a plurality of nodes 20 are configured based on various types of blockchains, such as a blockchain in which participants consist only of terminals, a blockchain in which participants consist only of servers, and a blockchain in which participants consist of terminals and servers. can do.

The user terminal 300 according to an embodiment participates as one node on the blockchain network, generates a data block, and provides it to the blockchain network 300. At this time, at least some of the user terminals 300 may detect forgery of data blocks.

5 is a block diagram of a node 20 according to an embodiment.

Each of the plurality of nodes 20 in the blockchain network 300 creates (or mines) a block for recording each blockchain transaction on the blockchain network 300 according to a predetermined algorithm and / or verifiable. According to one embodiment, blockchain transactions distributed on the blockchain network 300 through each node 20 during a predetermined time interval may be stored together in a newly created block. According to an embodiment, each of the nodes 20 may store at least a part of a blockchain (ie, a blockchain distributed ledger) for the blockchain network 300 according to a predetermined algorithm.

Referring to FIG. 5 , the node 20 includes a transaction processing module 402, a communication module 404, a block generation/verification module 406, and a blockchain distributed ledger storage module 408.

According to one embodiment, the transaction processing module 402 may receive a predetermined blockchain transaction and distribute the received transaction to other nodes 400 on the blockchain network 300 . According to one embodiment, the transaction processing module 402 may receive transactions distributed by other nodes 400 on the blockchain network 300 .

According to one embodiment, the transaction processing module 402 may process the received transaction (eg, including execution of each smart contract included in the transaction, etc., but the present disclosure is not limited thereto).

According to one embodiment, the transaction received and processed by the transaction processing module 402 is a variety of hash values for various data generated by the server 100 to implement an embodiment or various types of data generated for cloud services. It may include a tracker indicating a location where data is distributed and stored in the nodes 20, a history of data exchanged between the client terminal 200 and the cloud service providing device 100 for cloud service, and the like. According to one embodiment, the transaction received and processed by the transaction processing module 402 may be other various transactions distributed by any node 400 to at least some of the nodes on the blockchain network 300 (e.g., It may include transactions including transaction information of digital currency or other smart contract information supported on the blockchain network 21, and the present disclosure is not limited thereto).

According to one embodiment, the communication module 404 may operate so that the node 20 can communicate with other nodes 300 according to a predetermined protocol on the blockchain network 300 . According to one embodiment, the communication module 404 can cause blockchain transactions to be distributed on the blockchain network 300 through a communication network according to a predetermined protocol, and from other nodes 300 through the communication network. Various information on the blockchain network 300 can be received.

According to one embodiment, the block generation/verification module 406 generates a block for the blockchain network 300, collects transactions that have occurred on the blockchain network 300 during a predetermined time interval, and includes appropriate header information. You can write to the created block. According to one embodiment, the block generation/verification module 406 may notify the generated block on the blockchain network 300 through the communication module 404. According to one embodiment, the block generation/verification module 406 may perform verification on a block generated by another node 20, which is known on the blockchain network 300.

According to an embodiment, the block chain distributed ledger storage module 408 may store at least a part of a block chain distributed ledger (ie, a distributed ledger including all histories of transactions) according to a predetermined algorithm. According to one embodiment, the blockchain distributed ledger storage module 408 may also store at least a part of information about smart contracts composed of blockchains on the blockchain network 300 according to a predetermined algorithm, but The present disclosure is not limited thereto.

6 is a diagram conceptually illustrating a block 500 connected to a blockchain according to an embodiment.

6 conceptually illustrates the configuration of a blockchain and each block 500 included therein, which can be stored in the blockchain distributed ledger storage module 408 included in the node 20 according to an embodiment. am. As shown, a blockchain includes a plurality of blocks connected to each other, and each block 500 may include a block header 502 and a plurality of transaction information 504a to 504n.

According to an embodiment, the block header 502 includes a hash value of a previous block header, a nonce value, a merkle root of transaction information 504a to 504n to be included in the corresponding block 500, and a block ( 500) may include values such as a timestamp representing the time when the block 500 was created and the mining difficulty of the corresponding block 500.

According to one embodiment, the plurality of transaction information 504a-504n included in the block 500 may be a plurality of transactions distributed on the blockchain network 300 from the nodes 300 during a predetermined time interval. can

According to one embodiment, the transaction information 504a-504n of the block 500 is a transaction distributed on the blockchain network 300 through the node 20, that is, the server 100 generated for one embodiment. It may include transaction information related to various transactions and transmission/reception information.

Returning to FIG. 3 again, the smart contract management unit 162 may create and execute a smart contract.

Referring to the drawings, FIG. 7 is a diagram for explaining a smart contract creation process according to an embodiment, and FIG. 8 is a diagram for explaining a smart contract execution process according to an embodiment.

A smart contract of an embodiment may include a definition that is a smart contract code.

The definition of one embodiment is a code that includes the contents that the contract party wants to implement as a smart contract (under what conditions the contract is automatically established, etc.), and the definition can be implemented in programming languages such as Solidity and Vyper.

Such a definition can be created using a template, and the template can be composed of a reusable document that mixes legal prose and smart contract code. Templates in one embodiment may include metadata, conditional statements, calculations, smart contract logic, signatures, IDs, and the like.

The smart contract management unit 162 may receive a smart contract from an external terminal such as the user terminal 200 or the manager terminal 201.

The smart contract management unit 162 may generate byte code by compiling the smart contract definition. The byte code of one embodiment is an execution program of a smart contract, and may mean a machine language code that can be understood and executed in various blockchain networks 300 such as Ethereum.

The smart contract management unit 162 may control the blockchain management unit 161 to insert a byte code into a block and perform a transaction on the blockchain network 300. The validity of the block uploaded to the blockchain network 300 is verified through a distributed consensus procedure inside the blockchain network 300. In this way, a smart contract is created.

The smart contract manager 162 may receive contract execution data from the user terminal 200 of the smart contract executor. The contract execution data of an embodiment is data required to execute a smart contract, and may include, for example, a user address, a function address of a smart contract, parameters, and the like.

The smart contract management unit 162 may execute the smart contract in the blockchain network 300 using the execution data, insert the execution result into a block, and upload it to the blockchain network 300. The validity of the block uploaded to the blockchain network 300 is also verified through a distributed agreement procedure inside the blockchain network 300, and when the verification is completed, the contract can be recognized as completed.

These smart contracts can be used for transfer of ownership, inheritance, and gift. If the conditions for contract fulfillment are specified in the smart contract, the fulfillment of the contract contents is automatically realized at the same time as the conditions are met, so an additional Management costs or the risk of contract failure can also be fundamentally excluded.

The definition classification unit 163 may derive smart contract category information through the definition classification model 32 using the smart contract definition.

The category information of an embodiment is classification information for classifying smart contracts based on (i) the implementation language of the definition, (ii) the type of contract, and (iii) the type of contract. Category information will be described later in detail with reference to FIG. 10 .

The definition classification unit 163 may learn the definition classification model 32 using the definition classification learning data input from the manager terminal 201 .

The definition classification unit 163 may input the smart contract definition into the learned definition classification model 32 to derive category information of the corresponding smart contract.

9 is a diagram for explaining a definition classification model 32 according to an embodiment.

Referring to FIG. 9 , the definition classification unit 163 may include a definition classification model learning unit 31 and a definition classification model 32 . The definition classification model learning unit 31 and the definition classification model 32 are components divided according to the function of the definition classification unit 163, and it is obvious that all corresponding functions can be implemented in the definition classification unit 163.

As the definition classification model 32 of an embodiment, an artificial neural network may be used. An artificial neural network is a predictive model implemented in software or hardware that mimics the computational power of a biological system using a large number of artificial neurons (or nodes).

The definition classification model 32 may be supervised and learned by the definition classification model learning unit 31 using definition classification learning data. At this time, supervised learning means learning to find an output value according to a given input value by using data with input values and corresponding output values as learning data, and means learning that takes place in a state where the correct answer is known. The set of inputs and outputs given to supervised learning is called training data. That is, the above definition is an input value and category information is an output value, and can be used as training data for supervised learning of the definition classification model 32 .

As an example, the definition classification model learning unit 31 converts the definition into a unique first one-hot vector to generate an input value, and converts the category information of the corresponding smart contract into a unique second one-hot vector. After converting to a hot vector to generate an output value, the definition classification model 32 can be supervised using the generated input value and output value. Here, the first one-hot vector and the second one-hot vector may be vectors in which one of the component values constituting the vector is '1' and the other component values are '0'.

In one example, the definition classification model 32 receives an input value, multiplies an input layer having nodes corresponding to the number of components of the first one-hot vector, and a connection strength (or weight) for each output value of the input layer, , one or more hidden layers that add and output a bias, and an output layer that multiplies each output value of the hidden layer by a connection strength (or weight) and outputs the result using an activation function. can Here, the activation function may be a LeRU function or a Softmax function, but is not limited thereto. Connection strength and bias can be continuously updated by supervised learning.

Specifically, the definition classification model 32 may be supervised so that an output value of a loss function according to a given input value (first one-hot vector) and output value (second one-hot vector) is minimized. . For example, the loss function H(Y, Y′) may be defined as in Equation 1 below.

In Equation 1, Ym is the m-th component of the second one-hot vector, and Y'm may be the m-th component of the output vector that is output by receiving the first one-hot vector from the definition classification model 32.

The more the training data is, the more supervised learning is performed on the definition classification model 32, thereby increasing the accuracy of the definition classification model 32.

An artificial neural network may be used for the definition classification model 32 . For example, the definition classification model 32 may be implemented as a Bidirectional LSTM (Bi-LSTM) or a Convolutional Neural Network (CNN).

That is, the definition classification model 32 can learn the definition classification model 32 using the definition classification learning data input from the administrator terminal 201, and the definition of the smart contract can be sent to the learned definition classification model 32. By inputting, category information of the smart contract can be extracted.

10 is a diagram for explaining category information according to an exemplary embodiment.

As described above, the category information of one embodiment is classification information for classifying smart contracts based on (i) implementation language of the definition, (ii) type of contract, (iii) type of contract, etc. Referring to FIG. 10, Category information according to an embodiment may include a first category, a second category, a third category, a first similarity, a second similarity, a group number, and identification information.

Here, the first category is classification information based on the implementation language of the definition, the second category is classification information based on the industry in which the smart contract is used, and the third category is classification information based on the type of contract in which the smart contract is used, The first similarity is the similarity value with the standard definition set in the second category (industry), the second similarity is the similarity value with the standard definition set in the third category (contract type), and the group number is the first similarity and the second similarity value. 2 The group number determined based on the degree of similarity and identification information are identification values determined based on the first category and group number.

The definition classification model 32 may be designed to derive a first category, a second category, a third category, a first similarity, and a second similarity among category information of a corresponding smart contract based on the entered smart contract definition. .

The definition classification unit 163 may generate a group number and identification information among category information using the first category, the first similarity, and the second similarity derived from the definition classification model 32 .

The definition classification unit 163 may generate a smart contract group number using the first similarity and the second similarity. The definition classification unit 163 may generate a smart contract group number based on the first similarity and the second similarity using various methods.

11 and 12 are views for explaining a group classification method according to an exemplary embodiment.

Referring to FIG. 11 , the definition classification unit 163 may generate a smart contract group number based on the first similarity and the second similarity using a fixed classification method.

According to the fixed classification method, the definition classification unit 163 may map the first similarity and the second similarity to preset reference coordinates, and generate a group number corresponding to the mapped coordinates as the group number of the smart contract.

Referring to FIG. 12 , the definition classification unit 163 may generate a smart contract group number based on the first similarity and the second similarity using a variable classification method.

According to the variable classification method, the definition classification unit 163 can cluster the smart contracts classified so far. The definition classification unit 163 can cluster the smart contracts classified so far using various clustering algorithms.

A clustering algorithm according to an embodiment may be a hierarchical clustering algorithm in which small clusters are formed by close ones and larger clusters are formed by combining small clusters nearby. In addition, the clustering algorithm may be a partitioning clustering algorithm that divides entire data into similar ones and groups them without creating a hierarchical structure. The hierarchical clustering algorithm may be at least one of a single linkage method, a complete linkage method, and an average linkage method, and the segmentation clustering algorithm may be a k-means clustering algorithm. In this specification, the k-means clustering algorithm is described as an example, but the scope of the present invention is not limited to the k-means clustering algorithm.

The k-means clustering algorithm is an algorithm that groups given data into k clusters, and operates in a way that minimizes the variance between each cluster and the distance difference. The operating process of the k-means clustering algorithm is as follows.

(i) Randomly select k data from all data and set each as the initial center of the cluster.

(ii) Calculate the distance between each data and each cluster centroid.

(iii) A new set can be divided by connecting each point to the closest one among the centers just obtained.

(iv) Take the average of all data assigned to each cluster, and set this as the new cluster center.

(v) If there is a change in the cluster compared to the previous state, return to process (ii), otherwise terminate.

Through the above process, the definition classification unit 163 can cluster the smart contracts classified so far using various clustering algorithms. The number k of clusters is generally set to 3 or more and can be adjusted by the user.

The definition classification unit 163 may create a group of generated clusters and map them to coordinates, and may generate group numbers corresponding to the coordinates of the first similarity and the second similarity as the group number of the smart contract.

The definition classification unit 163 may generate identification information of the smart contract using the first category and group number. For example, the definition classification unit 163 may generate smart contract identification information by combining the identification value of the first category and the group number.

The repository construction unit 164 may create smart contract information. Smart contract information of an embodiment may include smart contract definition, byte code, and category information.

The repository builder 164 may store the generated smart contract information in the smart contract repository 310.

As described above, the smart contract repository 310 of one embodiment may be composed of a blockchain or a secure database.

In one embodiment, when the smart contract repository 310 is composed of a block chain, the repository builder 164 may transact and store the generated smart contract information in a block chain network.

In another embodiment, when the smart contract repository 310 is configured as a secure database, the repository builder 164 may encrypt the generated smart contract information and store it in the secure database.

In this way, one embodiment can build a smart contract repository in which smart contracts are classified and stored by category.

The definition analysis unit 165 may derive smart contract category information through the definition analysis model 52 using query information of the smart contract.

13 is a diagram for explaining a definition analysis model 52 according to an embodiment.

Referring to FIG. 13 , the definition analysis unit 165 may include a definition analysis model learning unit 51 and a definition analysis model 52 . The definition analysis model learning unit 51 and the definition analysis model 52 are components divided according to the function of the definition analysis unit 165, and it is obvious that all corresponding functions can be implemented in the definition analysis unit 165.

The definition analysis model learning unit 51 may learn the definition classification model 164 using the received definition analysis learning data. Here, the definition analysis learning data may be training data having query information of a smart contract that the user wants to search for as an input value and category information of a smart contract corresponding thereto as an output value.

The smart contract query information of an embodiment is characteristic information of a smart contract that a user wants to search for, and may include language related information, industry related information, contract type related information, and the like.

For example, the definition analysis model learning unit 51 converts query information into a unique first one-hot vector to generate an input value, and converts category information corresponding thereto into a unique second one-hot vector to generate an output value. After generation, the generated input values and output values may be supervised by the definition analysis model 52 . Here, the first one-hot vector and the second one-hot vector may be vectors in which one of the component values constituting the vector is '1' and the other component values are '0'.

Similar to the definition classification model 32, an artificial neural network may be used in the definition analysis model 52 according to an embodiment. For example, the definition analysis model 52 may be implemented as a Bidirectional LSTM (Bi-LSTM) or a Convolutional Neural Network (CNN).

The definition analysis model 52 may be supervised and learned by the definition analysis model learning unit 51 using category information corresponding to the query information.

Specifically, the definition analysis model 52, like the definition classification model 32, has an output value of a loss function according to a given input value (first one-hot vector) and output value (second one-hot vector). can be supervised to minimize Here, the loss function may be the same as Equation 1.

After supervised learning is completed, the query information of the smart contract is input to the definition analysis unit 165 and the learned definition analysis model 52 as input values, and category information of the smart contract is input as an output value of the definition analysis model 52. can be printed out.

Unlike the definition classification model 32, the definition analysis model 52 can be designed to output all category information of smart contracts.

The search unit 166 may use the category information output from the definition analysis model 52 to extract similar smart contracts having the same identification information from the smart contract repository 310 and generate a list of similar smart contracts.

The search unit 166 may transmit the generated list of similar smart contracts to the user terminal 200, and may generate smart contract information corresponding to a similar smart contract selected by the user and transmit the generated smart contract information to the user terminal 200.

14 is a flowchart of a smart contract repository construction method according to an embodiment.

Referring to FIG. 14, the smart contract repository construction method according to an embodiment includes receiving a definition (S100), generating category information (S110), grouping (S120), generating identification information (S130), and generating smart contract information. It may include operation S140 and smart contract information storage operation S150.

First, in the definition data reception operation (S100), the control unit 160 may receive the smart contract definition from the user terminal 200.

In the category information generation operation (S110), the control unit 160 may input the received smart contract definition into the definition classification model 32 to generate smart contract category information.

Then, in the grouping operation (S120), the control unit 160 may generate a smart contract group number using the first similarity and the second similarity among category information.

Then, in the identification information generation operation (S130), the control unit 160 may generate identification information of the smart contract using the first category and group number among the category information.

Then, in the operation of generating smart contract information (S140), the control unit 160 may generate smart contract information including smart contract definition, byte code, and category information.

Then, in the smart contract information storage operation (S150), the control unit 160 may store the generated smart contract information in the smart contract repository 310.

15 is a flowchart of a smart contract search method according to an embodiment.

Referring to FIG. 15, the smart contract search method according to an embodiment includes smart contract query information reception operation (S200), category information extraction operation (S210), similar smart contract extraction operation (S220), similar smart contract list transmission operation ( S230) and smart contract information transmission operation (S240).

First, in the operation of receiving smart contract query information (S200), the control unit 160 may receive smart contract query information from the user terminal 200.

Then, in the operation of extracting category information (S210), the control unit 160 may extract smart contract category information by inputting smart contract query information to the definition analysis model 52.

Then, as a similar smart contract extraction operation (S220), the control unit 160 can extract a similar smart contract having the same identification information from the smart contract repository 310 using the extracted category information.

Then, in the similar smart contract list transmission operation (S230), the control unit 160 may generate a list of extracted similar smart contracts and transmit the generated similar smart contract list to the user terminal 200.

Then, in the smart contract information transmission operation (S240), the control unit 160 may transmit smart contract information corresponding to the similar smart contract selected by the user to the user terminal 200.

16 is a configuration diagram of a user terminal 200 according to an embodiment. Hereinafter, components constituting the user terminal 200 shown in FIG. 16 will be sequentially described.

For reference, the manager terminal 201 according to an embodiment may also include the same configuration as the user terminal 200 .

The wireless communication unit 210 may include one or more components that perform wireless communication between the user terminal 200 and a wireless communication system or between the user terminal 200 and a network in which the user terminal 200 is located. . For example, the wireless communication unit 210 may include a broadcast receiving module 211, a mobile communication module 212, a wireless Internet module 213, a short-distance communication module 214, a location information module 215, and the like. .

The broadcast reception module 211 receives a broadcast signal and/or broadcast-related information from an external broadcast management server through a broadcast channel. Here, the broadcast channel may include a satellite channel and a terrestrial channel. Meanwhile, broadcast related information may be provided through a mobile communication network, and in this case, it may be received by the mobile communication module 312 .

In addition, the mobile communication module 212 transmits and receives a radio signal with at least one of a base station, an external terminal, and a server on a mobile communication network. Here, the wireless signal may include a voice call signal, a video call signal, or various types of data according to text/multimedia message transmission/reception.

The wireless Internet module 213 refers to a module for wireless Internet access, and may be built into or external to the user terminal 200 .

The short-distance communication module 214 refers to a module for short-distance communication. As a short-range communication technology, Bluetooth, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, or the like may be used.

Also, the location information module 215 is a module for confirming or obtaining the location of the user terminal 200 . One example is a Global Positioning System (GPS) module. The GPS module receives location information from a plurality of satellites. Here, the location information may include coordinate information indicated by latitude and longitude.

Meanwhile, an audio/video (A/V) input unit 220 is for inputting an audio signal or a video signal, and may include a camera 221 and a microphone 222. The camera 221 processes an image frame such as a still image or a moving image obtained by an image sensor in a video call mode or shooting mode. And, the processed image frame may be displayed on the display unit 251 .

An image frame processed by the camera 221 may be stored in the memory 360 or transmitted to the outside through the wireless communication unit 210 . Two or more cameras 221 may be provided according to configuration aspects of the user terminal 200 .

The microphone 222 receives an external sound signal through a microphone in a call mode, a recording mode, or a voice recognition mode, and processes it into electrical voice data. In addition, the processed voice data may be converted into a form transmittable to a mobile communication base station through the mobile communication module 212 and output in the case of a call mode. The microphone 222 may implement various noise cancellation algorithms for removing noise generated in the process of receiving an external sound signal.

The user input unit 230 receives an input operation from the user and generates input data for controlling the operation of the user terminal 200 .

The sensing unit 240 detects the current state of the user terminal 200, such as the location of the user terminal 200, presence or absence of contact with the user, direction of the user terminal 200, acceleration/deceleration of the user terminal 200, and the like. A sensing signal for controlling the operation of the terminal 200 is generated.

The interface unit 270 serves as an interface with all external devices connected to the user terminal 200 . For example, a wired/wireless headset port, an external charger port, a wired/wireless data port, a memory card port, a port for connecting a device having an identification module, an audio I/O (Input/Output) port, A video I/O (Input/Output) port, an earphone port, and the like may be included.

The output unit 250 is for outputting an audio signal, video signal, or alarm signal, and may include a display unit 251, a sound output module 252, an alarm unit 253, and the like.

The display unit 251 displays and outputs information processed by the user terminal 200 . For example, when the terminal is in a call mode, a UI (User Interface) or GUI (Graphic User Interface) related to a call is displayed. In addition, when the user terminal 200 is in the video call mode or the shooting mode, the captured or/and received video, UI, or GUI is displayed.

Meanwhile, as described above, when the display unit 251 and the touch pad form a mutual layer structure to form a touch screen, the display unit 251 may be used as an input device as well as an output device. The display unit 251 includes a liquid crystal display, a thin film transistor-liquid crystal display, an organic light-emitting diode, a flexible display, a 3D display ( 3D display) may include at least one. Also, depending on the implementation form of the user terminal 200, two or more display units 251 may exist. For example, the user terminal 200 may include an external display unit (not shown) and an internal display unit (not shown) at the same time.

The audio output module 252 outputs audio data received from the wireless communication unit 210 or stored in the memory 260 in a call signal reception mode, a call mode or a recording mode, a voice recognition mode, and a broadcast reception mode. In addition, the sound output module 352 outputs sound signals related to functions performed by the user terminal 200 (eg, call signal reception sound, message reception sound, etc.). The sound output module 252 may include a speaker, a buzzer, and the like.

The alarm unit 253 outputs a signal for notifying occurrence of an event in the user terminal 200 . Examples of events generated in the terminal include call signal reception, message reception, key signal input, and the like.

The memory 260 may store programs for processing and control of the control unit 280, and provides a function for temporarily storing input/output data (eg, phonebook, message, still image, video, etc.). can also be done

The memory 260 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg, SD or XD memory, etc.), RAM (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory) magnetic memory, magnetic disk, It may include at least one type of storage medium among optical disks.

The controller 280 typically controls overall operations of the terminal. For example, it performs related control and processing for voice calls, data communications, video calls, and the like. Also, the controller 280 may include a multimedia module 281 for playing multimedia. The multimedia module 281 may be implemented within the control unit 280 or may be implemented separately from the control unit 280 .

The control unit 280 controls various operations of the user terminal 200 to implement the above-described embodiment.

The power supply unit 290 receives external power and internal power under the control of the controller 280 and supplies power required for operation of each component.

Meanwhile, at least some or all of the operations of the above-described embodiment may be implemented in the user terminal 200. At this time, the user terminal 200 has an application for performing the operation of the above-described embodiment by communicating with the server 100. can be pre-installed.

17 is a diagram illustrating a wireless communication system that can be applied in a communication process according to an embodiment of the present invention. 18 is a diagram illustrating a base station in the wireless communication system according to FIG. 17; 19 is a diagram illustrating a terminal in the wireless communication system according to FIG. 17; 20 is a diagram illustrating a communication interface in the wireless communication system according to FIG. 17;

Hereinafter, an example of a wireless communication network system supporting communication between at least some of the server 100, the user terminal 200, the manager terminal 201, the blockchain network 300, and the smart contract repository 310 is specifically described. Explain with an example.

In the following description, at least one of the server 100, user terminal 200, administrator terminal 201, blockchain network 300, and smart contract repository 310 is collectively referred to as a node or terminal, Or it may be abbreviated, the first node (device) may be an anchor/donor node or a centralized unit (CU) of an anchor/donor node, and the second node (device) may be a distributed DU (distributed unit) of an anchor/donor node or relay node. unit) may be

A base station (BS), terminal, server, etc. may be included as a part of a node using a radio channel in a wireless communication system.

A base station is a terminal and a network infrastructure that provides wireless access to terminals. A base station has a coverage defined as a predetermined geographic area according to a distance over which a signal can be transmitted.

A base station, like a "base station," is referred to as "access point (AP)", "enodeb (eNB)", "5th generation (5G) node", "wireless point", " It may be referred to as a transmission/reception point (TRP).

The base station, the terminal, and the terminal may transmit and receive wireless signals in a millimeter wave (mmWave) band (eg, 28 GHz, 30 GHz, 38 GHz, and 60 GHz). At this time, the base station, the terminal, and the terminal may perform beamforming to improve the channel gain. Beamforming may include transmit beamforming and receive beamforming. That is, the base station, the terminal, and the terminal can give directivity to the transmitted signal and the received signal. To this end, the base station, the terminal, and the terminal may select a serving beam through a beam search procedure or a beam management procedure. After that, communication may be performed using a resource carrying a serving beam and a resource having a quasi co-located relationship.

A first antenna port and a second antenna port are considered quasi-colocated if the large-scale properties of the channel through which the symbol of the first antenna port carries can be inferred from the channel through which the symbol of the second antenna port carries. The large-scale properties may include one or more of delay spread, Doppler spread, Doppler shift, average gain, average delay, and spatial Rx parameters.

Hereinafter, a base station in the wireless communication system described above is exemplified. The terms "-module", "-unit" or "-er" used below may mean a unit that processes at least one function or operation, and may include hardware, software, or both hardware and software. It can be implemented as a combination of

The base station may include a wireless communication interface, a backhaul communication interface, a storage unit and a controller.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a physical layer standard of a system. For example, in data transmission, a radio communication interface encodes and modulates a transmitted bit stream to generate composite symbols. Also, upon receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

The wireless communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the wireless communication interface may perform a conversion function between a baseband signal and a bit stream according to a system physical layer standard. For example, in data transmission, a radio communication interface encodes and modulates a transmitted bit stream to generate composite symbols. Also, upon receiving data, the wireless communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream.

In addition, the wireless communication interface up-converts a baseband signal into a radio frequency (RF) band signal, transmits the converted signal through an antenna, and down-converts the RF band signal received through the antenna into a baseband signal. To this end, the wireless communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, a digital-to-analog converter (DAC), An analog-to-digital converter (ADC) and the like may be included. Also, the wireless communication interface may include a plurality of transmit/receive paths. Additionally, the wireless communication interface may include at least one antenna array comprising a plurality of antenna elements.

In terms of hardware, the wireless communication interface may include a digital unit and an analog unit, and the analog unit may include a plurality of sub-units according to operating power, operating frequency, and the like. A digital unit may be implemented with at least one processor (eg, a digital signal processor (DSP)).

The wireless communication interface transmits and receives signals as described above. Accordingly, a wireless communication interface may be referred to as a “transmitter”, “receiver” or “transceiver”. In addition, in the following description, transmission and reception performed through a wireless channel may be used as a meaning including processing performed in a wireless communication interface as described above.

The backhaul communication interface provides an interface for communicating with other nodes in the network. That is, the backhaul communication interface converts the bit stream transmitted to other nodes, for example, other access nodes, other base stations, upper nodes or core networks from base stations into physical signals, and the physical signals received from other nodes into bits. convert to stream

The storage unit stores data such as basic programs, applications, and setting information for operation of the base station. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory.

The controller controls the overall operation of the base station. For example, the controller transmits and receives signals through a wireless communication interface or a backhaul communication interface. Also, the controller writes data to the storage unit and reads the recorded data. The controller can perform protocol stack functions required by communication standards. According to another implementation, a protocol stack may be included in a wireless communication interface. To this end, the controller may include at least one processor.

According to an embodiment, the controller may control the base station to perform an operation according to an embodiment of the present invention.

According to various embodiments, a donor node of a wireless communication system includes at least one processor, includes a transceiver operably coupled to the at least one processor, and includes a plurality of radio bearers for a terminal accessing the relay node. configured to transmit to a relay node a first message including first information related to the donor node about; receive a second message including second information related to the relay node regarding a plurality of radio bearers for the terminal from the relay node; Data for the terminal may be transmitted to the relay node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. the at least one processor is also configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers aggregated by the radio bearer; Alternatively, a radio bearer for a UE accessing a relay node may be determined.

According to various embodiments, the first message may include one or more of: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information about a radio bearer of a terminal accessing a relay node; information about a radio bearer transmitted by a terminal accessing a relay node; information about a tunnel established for a radio bearer between the donor node and the relay node; information about integrated multiple radio bearers; radio bearer mapping information; information about the address of the side of the donor node; information about the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing the relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits radio bearer data of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of: identification of a terminal accessing the relay node; information about the radio bearer granted by the relay node; information about radio bearers not acknowledged by the relay node; information about radio bearers partially granted by the relay node; radio bearer mapping information; Configuration information of a terminal accessing the relay node created by the relay node; information about the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distribution unit of the donor node.

According to various embodiments, a relay node of a wireless communication system includes at least one processor, includes a transceiver operably coupled to the at least one processor, and provides a plurality of information from a donor node to a terminal accessing the relay node. configured to receive a first message including first information related to a donor node for a radio bearer of; transmit to the donor node a second message including second information related to the relay node for the plurality of radio bearers for the terminal; Data on the terminal may be received from the donor node. Data may be transmitted to the terminal through a plurality of radio bearers based on the first information and the second information.

According to various embodiments, a radio bearer among a plurality of radio bearers may integrate a plurality of radio bearers. the at least one processor is also configured to determine a radio bearer for a terminal accessing the relay node and multiple radio bearers aggregated by the radio bearer; Alternatively, multiple radio bearers integrated by radio bearer may be determined.

According to various embodiments, the first message may include one or more of: identification of a terminal accessing the relay node; display information indicating the type of terminal accessing the relay node; information about a radio bearer of a terminal accessing a relay node; information about a radio bearer transmitted by a terminal accessing a relay node; information about a tunnel established for a radio bearer between the donor node and the relay node; information about integrated multiple radio bearers; radio bearer mapping information; information about the address of the side of the donor node; information about the address of the relay node side; indication information corresponding to a radio bearer of a terminal accessing the relay node; indication information indicating the relay node to allocate a new address to a radio bearer for a terminal accessing the relay node; a list of address information that cannot be used by a relay node that transmits radio bearer data of a terminal accessing the relay node; and information related to security configuration.

According to various embodiments, the second message may include one or more of: identification of a terminal accessing the relay node; information about the radio bearer granted by the relay node; information about radio bearers not acknowledged by the relay node; information about radio bearers partially granted by the relay node; radio bearer mapping information; Configuration information of a terminal accessing the relay node created by the relay node; information about the address of the relay node side; and information related to security configuration.

According to various embodiments, the second message may further include information on integrated multiple radio bearers.

According to various embodiments, the donor node may include a central unit of the donor node, and the relay node may include a distribution unit of the donor node.

Hereinafter, components of a terminal in the wireless communication system described above are illustrated. Components of a terminal to be described below are components of a general-purpose terminal supported by a wireless communication system, and may be merged or integrated with components of a terminal according to the foregoing contents, and may overlap or conflict with the above drawings. It can be interpreted that the content described with reference takes precedence. The terms "-module", "-unit" or "-er" used below may mean a unit that processes at least one function.

The terminal includes a communication interface, a storage unit and a controller.

The communication interface performs a function of transmitting and receiving signals through a wireless channel. For example, the communication interface performs a conversion function between a baseband signal and a bit stream according to the physical layer standard of the system. For example, in data transmission, a communication interface encodes and modulates a transmission bit stream to generate composite symbols. Also, when receiving data, the communication interface demodulates and decodes the baseband signal to reconstruct the received bit stream. Further, the communication interface up-converts the baseband signal to an RF-band signal, transmits the converted signal through an antenna, and down-converts the RF-band signal received through the antenna into a baseband signal. For example, the communication interface includes a transmission filter, a reception filter, an amplifier, a mixer, an oscillator, and a digital-to-analog converter (DAC). , an analog-to-digital converter (ADC), and the like.

Also, the communication interface may include a plurality of transmit/receive paths. Additionally, the communication interface may include at least one antenna array comprising a plurality of antenna elements. On the hardware side, the wireless communication interface may include a digital circuit and an analog circuit (eg, a radio frequency integrated circuit (RFIC)). A digital circuit may be implemented with at least one processor (eg, DSP). A communication interface may include multiple RF chains. The communication interface may perform beamforming.

The communication interface transmits and receives signals as described above. Accordingly, a communication interface may be referred to as a “transmitter”, “receiver” or “transceiver”. In addition, in the following description, transmission and reception performed through a radio channel may be used as a meaning including processing performed in a communication interface as described above.

The storage unit stores data such as basic programs for operation of the terminal, applications, and setting information. The storage unit may include volatile memory, non-volatile memory, or a combination of volatile and non-volatile memory. In addition, the storage unit provides stored data according to the request of the controller.

The controller controls the overall operation of the terminal. For example, the controller sends and receives signals through a communication interface. Also, the controller writes data to the storage unit and reads the recorded data. The controller can perform protocol stack functions required by communication standards. According to another implementation, a protocol stack may be included in the communication interface. To this end, the controller may include at least one processor or microprocessor or reproduce parts of a processor. Also, a part of the communication interface or controller may be referred to as a communication processor (CP).

According to an embodiment of the present invention, a controller may control a terminal to perform an operation according to an embodiment of the present invention.

Hereinafter, a communication interface in a wireless communication system is illustrated.

The communication interface includes encoding and modulation circuitry, digital beamforming circuitry, a plurality of transmission paths, and analog beamforming circuitry.

Encoding and modulation circuitry performs channel encoding. At least one of a low-density parity check (LDPC) code, a convolution code, and a polar code may be used for channel encoding. An encoding and modulation circuit generates modulation symbols by performing constellation mapping.

A digital beamforming circuit performs beamforming on a digital signal (eg, a modulation symbol). To this end, a digital beamforming circuit multiplexes modulation symbols by beamforming weights. Beamforming weights can be used to change the size and phrase of a signal, and can be referred to as a "precoding matrix" or "precoder". The digital beamforming circuit outputs digital beamformed modulation symbols to a plurality of transmission paths. In this case, according to a multiple input multiple output (MIMO) transmission method, modulation symbols may be multiplexed or the same modulation symbol may be provided to a plurality of transmission paths.

The plurality of transmission paths convert digital beamformed digital signals into analog signals. To this end, each of the plurality of transmission paths may include an inverse fast fourier transform (IFFT) computation unit, a cyclic prefix (CP) insertion unit, a DAC, and an up conversion unit. The CP insertion unit is for an orthogonal frequency division multiplexing (OFDM) method and may be omitted when another physical layer method (eg, a filter bank multi-carrier: FBMC) is applied. That is, the plurality of transmission paths provide independent signal processing processes for a plurality of streams generated through digital beamforming. However, depending on the implementation, some elements of the plurality of transmission paths may be commonly used.

An analog beamforming circuit performs beamforming on an analog signal. To this end, the digital beamforming circuit multiplexes analog signals by beamforming weighting values. The beamformed weights are used to change the amplitude and phrase of the signal. More specifically, the analog beamforming circuit may be configured in various ways according to a connection structure between a plurality of transmission paths and an antenna. For example, each of a plurality of transmission paths may be connected to one antenna array. In another example, multiple transmission paths may be coupled to one antenna array. In another example, multiple transmission paths may be adaptively coupled to one antenna array or may be coupled to two or more antenna arrays.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can be implemented in other specific forms without changing the technical spirit or essential features of the present invention. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

Claims (1)

A smart contract repository construction method using cluster coordinate mapping-based definition classification performed on the server for smart contract repository construction,
Receiving a definition of a smart contract;
generating category information of the smart contract by inputting the definition into a definition classification model;
generating a group number of the smart contract using the first similarity and the second similarity included in the category information;
generating identification information of the smart contract using the first category and the group number included in the category information;
generating smart contract information including at least one of the definition of the smart contract, bytecodes compiled with the definition, and category information; and
Including storing the smart contract information in a smart contract repository,
Generating the group number of the smart contract,
The smart contracts classified so far are clustered using a clustering algorithm, and a group number corresponding to a group according to the clustering is generated as the group number of the smart contract using the first similarity and the second similarity,
The clustering algorithm is a K-means clustering algorithm, a smart contract repository construction method using cluster coordinate mapping based definition classification.