CN107122500A - Promote the scientific and technological big data service system and method for achievements conversion - Google Patents
Promote the scientific and technological big data service system and method for achievements conversion Download PDFInfo
- Publication number
- CN107122500A CN107122500A CN201710432028.6A CN201710432028A CN107122500A CN 107122500 A CN107122500 A CN 107122500A CN 201710432028 A CN201710432028 A CN 201710432028A CN 107122500 A CN107122500 A CN 107122500A
- Authority
- CN
- China
- Prior art keywords
- scientific
- big data
- user
- data
- technological
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention proposes the big data service system framework of a wide range of technique transfers activity of a covering.It is upper in application, means are captured as technical foundation using big data, node is new architecture pattern in a distributed manner；Technically, using the transformation of scientific and technical result of the technique construction based on big data such as tensor model, high dimensional data fusion, multi-user's behavior modeling and cloud computings；Laid eventually through node, model duplication, realize towards a wide range of client service.Resource crowd is carried out between enterprise, government, technology source and other social resources to raise there is provided science service, is that user sets up the bridge and tie linked up, is promoted the scientific and technological achievement system for setting up a sustainable development, complete service social innovation and economic development.
Description
Technical field
The present invention relates to big data service field, specially a kind of big data for promoting the transformation of scientific and technological achievements services system
System framework and method.
Technical background
The world today, new round scientific and technological revolution is saved up strength to start out, and NPD projects are created in some great subversiveness technological innovations
New industry situation, the generation information technology such as big data, cloud computing, mobile Internet makes scientific and technical innovation chain dexterousr, and technology turns
Move and achievements conversion is more quick, industry, which updates, constantly to be accelerated.
In March, 2016, China " 13 " planning outline is clearly proposed, to implement national big data strategy.Big data
Based on property strategic resource, implement in full promotion big data developing activity, accelerate promote data resource sharing open and develop
Using the upgrading of power-assisted industrial transformation and governance innovation.Before this, the national government such as the U.S., Japan, Australia has been
The strategy for having released one after another similar or plan.
In addition to government decision, the enterprise such as IBM, Oracle, Microsoft, Google, Amazon, Facebook, China Mobile, Huawei
Industry all puts into huge fund and quickly captured and project development for big data.
It can be seen that, big data technology has obtained increasing concern, and global problem research and development have also been carried out extensively.
Big data is captured, analyzed and handled, progressively turns into domestic and international industrial innovation focus.
For transformation of scientific and technical result work, the generation information technology means such as big data, cloud computing are introduced aobvious and easy
See be future technology achievements conversion job development inexorable trend, for cloud computing and big data, quickly the key technology such as crawl is opened
Hair application has good market and industrialization prospect.Specifically, multi-modal section is quickly captured using cloud computing and big data
Skill information, realize to the type network resource such as text, image, audio, video by all kinds of means, multi-angle obtain, carry out big data
Modeling analysis, builds various dimensions appraisement system, has been technique transfers and the inevitable technological trend of the transformation of scientific and technical result.
With continuing to develop for technique transfers and the transformation of scientific and technical result, the trend of fast development is presented in network technology data,
Including scientific and technological information type, source, industry Zone Information and talents information etc., with quantity is big, data class is more, involve a wide range of knowledge
Feature.The growth of data increases the difficulty and cost of the transformation of scientific and technical result.
On the other hand, every country and area have also expanded all in terms of technique transfers and transformation of scientific and technical result platform
It is explore with attempting more, it is such as external：Technique transfers office (OTL), the German History Tai Bai technology transfer centers of American Universities
(STC), Germany Fraunho Application Research Society for Advancement (FhG), domestic technology business city of Jiangsu Province's industrial technology research institute
Field, the online technology business market in Zhejiang etc., above-mentioned platform is in self-building with user in use, exposing problems with：
1st, inside and outside information island, data deficiency sharing；
2nd, true and false data mix, poor information authenticity；
3rd, magnanimity information is accumulated, and service lacks initiative；
4th, on-line off-line chain rupture, activity lacks linkage.
So, the present invention is directed to above weak point, it is proposed that the big data of a wide range of technique transfers activity of a covering
Service system framework.It is upper in application, means are captured as technical foundation using big data, node is new architecture pattern in a distributed manner；
Technically, big data is based on using technique constructions such as tensor model, high dimensional data fusion, multi-user's behavior modeling and cloud computings
The transformation of scientific and technical result；Laid eventually through node, model duplication, realize towards a wide range of client service.In enterprise, political affairs
Resource crowd is carried out between mansion, technology source and other social resources to raise there is provided science service, is that user sets up the bridge and knob linked up
Band, promotes the scientific and technological achievement system for setting up a sustainable development, complete service social innovation and economic development.By cloud computing,
Big data quickly captures technology and combined with the transformation of scientific and technical result, meets inherent the needing of itself transition and upgrade of modern science and technology service industry
Ask, be actively that technique transfers and transformation of scientific and technical result work are done one's bit with big data, be to world today's big data technology
Effective inspection of achievement in research, is breakthrough and transformation to domestic and international transformation of scientific and technical result platform, is also that Information technology drives area
The effective way of domain development.
The content of the invention
The embodiments of the invention provide a kind of the big data service system and method for promotion achievements conversion, with many by gathering
Source isomery science data, unified representation and treatment technology and demographic data's relation, set up user characteristics model realization scientific and technological information
Intelligent recommendation and various dimensions system appraisal, solve present colleges institute science and technology concentrate lack marketability and
Traditional manufacture is backward in technique and can not find the problem of technological break-through mouthful, while also being promoted trade and investment for each place government provides the talent skill
The real-time proposals of art docking.
First aspect is there is provided a kind of system for promoting the scientific and technological big data of achievements conversion to service, and it is different that the system includes multi-source
Structure data collection station, big data represent processing computing system, user characteristics computing system, information intelligent commending system, multidimensional
Spend evaluation system, distributed propulsion system.
Wherein, the multi-source heterogeneous data collection station is used in distributed node, from by all kinds of means, multi-angle obtain text
The type network resource such as sheet, image, audio, video, implementing can be complete by the crawl technology of multi-modal scientific and technological information
Into.The real-time update mechanism of data is set up, strengthens the richness and freshness of platform data, expands scientific and technological information traffic ingress,
And holding and the viscosity of user.
The multi-source heterogeneous data collection station is additionally operable under internet platform, when realizing that user clicks on behavior, browsed
Effect, function such as use at the comprehensive seizure of information, and from quantity, time, place etc., multiple dimensions obtain user behavior datas, are used for
The scientific and technological point of interest of user is analyzed, the internet of behavior collection can be included by the acquisition technique of user behavior data by implementing
The page that platform buries a mechanism " spider " probe puts scheme to complete.
The data represent that handling computing system is used to set up multi-modal isomery science data and multi-user's behavioral data
Expression mechanism and syncretizing mechanism, specifically include text, image, video, the unified Modeling of the multi-modal isomery science data such as audio,
The user profile of multiple dimensions such as subscriber identity information, user social contact information, the scientific and technological preference of user, user's value, user feedback
Unified representation, and various dimensions user profile and science data syncretizing mechanism, realize between scientific and technological " people " and science and technology " thing "
Uniform spaces fusion.
The data represent that the massive multi-source data that processing computing system is additionally operable to collection under uniform spaces are entered
The denoising of row dimensionality reduction and Data Reduction, it is final to extract true complete high-quality scientific and technological information, implement and can be used based on high-order
The big data cleaning method of singular value decomposition.Designed by scientific and technological information Put on file under uniform spaces and distributed storage, structure
Build sciemtifec and technical sphere dictionary and talent's knowledge base based on tensor model.
The user characteristics computing system is used for for the user behavior data after processing, based on the user by data-driven
Modeling technique, including the multi-modal feature extraction based on user behavior, build multi-modal index sequence system, complete multi-modal spy
The optimum choice levied, completes user behavior feature extraction.Based on machine learning algorithm, the behavior of user is analyzed from multiple mode
Feature, by new support tensor machine sorting algorithm and Bayesian inference mechanism, with reference to deep learning model, is realized to user
Cluster, classification analysis, complete user portrait label, predict user scientific and technological point of interest.
Described information intelligently pushing system is used for the accurate matching algorithm by the scientific and technological point of interest of user and scientific and technological information, real
Accurate association between existing science and technology " people " and scientific and technological " thing ", matching algorithm specifically can using user data model and scientific and technological information it
Between similarity measurements quantity spaces matched.In addition, based on existing deep learning function model, building individual subscriber inclined
Good, the spatial and temporal association between action trail and scientific and technological information realizes that scientific and technological information temporal orientation is precisely pushed；For science and technology
The dynamic drift characteristic of information and user interest point, by the forecasting mechanism of increment type, builds the dynamic with adaptive ability
Recommendation rules computational methods, realize the intellectuality of commending system, mobilism.
The various dimensions evaluation system is commented for having three sets respectively for node, registered user, demand or achievement information
Valency system；Come using intra-node, node external unit (such as docking unit, other nodes) and industry specialists as multiagent evaluation
Source；With data of multiple angles such as the essential information of different subjects, platform activity behavior, technique transfers movable mass；Certification is used
Family opens comment authority, obtains magnanimity profound level comment, various dimensions carry out scoring grading, so as to obtain objective, authoritative scoring
Sequence, helps user's matching with docking high-quality demand or achievement.
The distributed propulsion system is used for each distributed node and reports full dose state to believe to all higher level's father nodes in real time
Breath, and collected simultaneously to high in the clouds；Each node issues the policy document of renewal to all subordinate's child nodes in real time.The whole network is realized
Upload without time difference of arrival technique demand, scientific achievement, policy information is assigned.
Second aspect is applied to include there is provided a kind of method for promoting the scientific and technological big data of achievements conversion to service, methods described
Multi-source heterogeneous data collection station, big data represent that processing computing system, user characteristics computing system, information intelligent recommend system
In system, various dimensions evaluation system, the scientific and technological big data service system of distributed propulsion system, methods described includes：It is multi-source heterogeneous
Data acquisition, data are represented and handled, user characteristics is calculated, information intelligent is recommended, various dimensions evaluation feedback.
The multi-source heterogeneous data acquisition refers to, from by all kinds of means, multi-angle obtain the types such as text, image, audio, video
Internet resources, implementing can be completed by the crawl technology of multi-modal scientific and technological information.Set up the real-time update machine of data
System, strengthens the richness and freshness of platform data, expands scientific and technological information traffic ingress, and keep the viscosity with user.
The multi-source heterogeneous data collection steps realize that user clicks on behavior, browses timeliness, function and the complete of information such as use
Orientation is caught, and from quantity, time, place etc., multiple dimensions obtain user behavior data, for analyzing the scientific and technological point of interest of user, tool
Body, which is realized, to bury a mechanism " spider " probe by the acquisition technique of user behavior data, including the internet platform of behavior collection
The page put scheme and complete.
The data represent with processing refer to multi-modal isomery science data and multi-user's behavioral data expression mechanism and
Syncretizing mechanism, specifically includes text, image, video, the unified Modeling of the multi-modal isomery science data such as audio, user identity letter
The unified representation of the user profile of multiple dimensions such as breath, user social contact information, the scientific and technological preference of user, user's value, user feedback,
And the syncretizing mechanism of various dimensions user profile and science data, realize that the uniform spaces between scientific and technological " people " and scientific and technological " thing " melt
Close.
The data represent to carry out dimensionality reduction with the massive multi-source data that processing is also responsible for collection under uniform spaces
Denoising and Data Reduction, it is final to extract true complete high-quality scientific and technological information, implement and can be used based on higher order singular value
The big data cleaning method of decomposition.Designed by scientific and technological information Put on file under uniform spaces and distributed storage, structure is based on
The sciemtifec and technical sphere dictionary and talent's knowledge base of tensor model.
The data represent that the massive multi-source data with process step to collection under uniform spaces carry out dimensionality reduction
Make an uproar and Data Reduction, it is final to extract true complete high-quality scientific and technological information, implement and can be used based on higher order singular value point
The big data cleaning method of solution.Designed by scientific and technological information Put on file under uniform spaces and distributed storage, build and be based on opening
Measure the sciemtifec and technical sphere dictionary and talent's knowledge base of model.
The user characteristics calculation procedure refers to, for the user behavior data after processing, based on the use by data-driven
Family modeling technique, including the multi-modal feature extraction based on user behavior, build multi-modal index sequence system, complete multi-modal
The optimum choice of feature, completes user behavior feature extraction.Based on machine learning algorithm, the row of user is analyzed from multiple mode
Be characterized, by new support tensor machine sorting algorithm and Bayesian inference mechanism, with reference to deep learning model, realize to
The cluster at family, classification analysis completes the portrait label of user, predicts the scientific and technological point of interest of user；
Described information intelligently pushing step refers to, by the scientific and technological point of interest of user and the accurate matching algorithm of scientific and technological information,
The accurate association between scientific and technological " people " and scientific and technological " thing " is realized, matching algorithm can specifically use user data model and scientific and technological information
Between similarity measurements quantity spaces matched.In addition, based on existing deep learning function model, building individual subscriber inclined
Good, the spatial and temporal association between action trail and scientific and technological information realizes that scientific and technological information temporal orientation is precisely pushed；For science and technology
The dynamic drift characteristic of information and user interest point, by the forecasting mechanism of increment type, builds the dynamic with adaptive ability
Recommendation rules computational methods, realize the intellectuality of commending system, mobilism.
The various dimensions are evaluated feedback step and referred to, are built respectively using for node, registered user, demand or achievement information
Three sets of vertical appraisement systems；It is many using intra-node, node external unit (such as docking unit, other nodes) and industry specialists
Main body evaluation is originated；With polygonal number of degrees such as the essential information of different subjects, platform activity behavior, technique transfers movable mass
According to；To certification user open comment authority, obtain magnanimity profound level comment, various dimensions carry out scoring grading so that obtain it is objective,
The marking and queuing of authority, helps user's matching with docking high-quality demand or achievement.
Brief description of the drawings
In order to more clearly illustrate the technical scheme of the embodiment of the present invention, in implementing below to embodiment or prior art
The required accompanying drawing used is briefly described, it is clear that, drawings discussed below is only some embodiments of the present invention,
For those of ordinary skill in the art, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings
Other accompanying drawings.
Fig. 1 is the scientific and technological schematic framework of big data service system of the promotion achievements conversion according to the embodiment of the present invention.
Fig. 2 is the schematic flow of the scientific and technological big data method of servicing of the promotion achievements conversion according to the embodiment of the present invention
Figure.
Embodiment
The present invention discloses a kind of big data service system framework and method for promoting the transformation of scientific and technological achievements, with reference to
The invention will be further described for the drawings and specific embodiments.
The specific embodiment of the invention is roughly divided into following steps:
1st, multi-source heterogeneous science data is gathered
On tree form distribution formula node, technology is captured by the orientation based on artificial intelligence, realized to text, image, sound
Frequently, the type network resource such as video by all kinds of means, multi-angle obtain.Wherein, child node is reported to all higher level's father nodes in real time
Full dose status information, and collected simultaneously to high in the clouds；Each node issues the policy text of renewal to all subordinate's child nodes in real time
Part.The whole network realizes that the upload without time difference of arrival technique demand, scientific achievement, policy information is assigned.Arrangement as distributed node is asked
The internet platform of collection user behavior, then by multi-modal dynamic programming model, buried a mechanism and " spider " probe by topic
The page puts scheme and is converted into a multi-modal convex optimization problem, is quickly asked in linear session using higher-order gradients descent method
Solution, obtains sensor distributing.
2nd, tensor representation is carried out to scientific and technological big data
Using the data unified description based on tensor model, multi-modal isomery science data and multi-user's behavior are carried out
The expression of data, including text, image, video, the unified Modeling of the multi-modal isomery science data such as audio, and user identity
The unified table of the user profile of multiple dimensions such as information, user social contact information, the scientific and technological preference of user, user's value, user feedback
Show.
3rd, data cleansing
Using the big data cleaning method based on Higher-order Singular value decomposition, science data and use to having changed into tensor
User data carries out dimensionality reduction denoising and Data Reduction, final to extract true complete high quality information.By scientific and technological under uniform spaces
Information classification filing and distributed storage design, build sciemtifec and technical sphere dictionary and talent's knowledge base based on tensor model.
4th, the feature extraction and modeling of science data and user data
Using the multi-modal feature extracting method based on high-order orthogonal singular value decomposition, scientific and technological information and user profile are realized
Characteristic tensor extract.Especially, for user, using new support tensor machine sorting algorithm and Bayesian inference mechanism,
With reference to deep learning model, the cluster to user is realized, classification analysis completes the portrait label of user, predicts the science and technology of user
Point of interest.
5th, intelligent recommendation
Using the information recommendation algorithm that filtering is cooperateed with based on tensor, feature based tensor realizes scientific and technological information and user property
Multi-modal Auto-matching, so as to reach the purpose that scientific and technological information is precisely pushed, finally realizes scientific and technological achievement Efficient Conversion.For section
The dynamic drift characteristic of skill information and user interest point, scientific and technological information and user are predicted using the multi-modal Markov Chain of increment type
Point of interest transfer mode, adaptively adjusts matched rule, so as to realize that the dynamic of scientific and technological information is precisely pushed.
6th, system is adjusted using various dimensions appraisement system
Three sets of appraisement systems are had respectively for node, registered user, demand or achievement information；With intra-node, node
External unit (such as docking unit, other nodes) and industry specialists are originated for multiagent evaluation；With the basic of different subjects
The data of multiple angles such as information, platform activity behavior, technique transfers movable mass；Comment authority is opened to certification user, sea is obtained
The profound comment of amount, various dimensions carry out scoring grading, so as to obtain objective, authoritative marking and queuing, help user's matching with it is right
Connect high-quality demand or achievement.
Further to play and consolidating the system sustainable development, self hematopoiesis beyond social service obtains one
Fixed profit is maintained and expansion platform construction, preferably service society, the ad hoc following commerce services pattern of meter, is that itself creation is economical
Benefit：
1st, node serve takes pattern
System in the present invention is intended using distributed structure/architecture, based on this framework, the use of system using each node as
Major technique transfer activity unit.System promote early stage, each node using systemic-function it is completely free, in system operation after
Phase, i.e., each node laying is completed, and father and son's node relationships are consolidated, and after largely newly-increased node, node serve expense will be collected per year, should
Part expense mainly maintains the daily operation management spending of system.
2nd, scientific and technological integrated service charging mode
In addition to technique transfers activity, system can functionally add the daily science service function of enterprise of high frequency time.
Science service includes patent, law works, finance, the tax, project cooperation, techno-financial and the service of other relevant technicals, the system
Carry out big data modeling to set up with credit system, preferential recommendation high quality-of-service service provider.Early stage this service be it is completely free,
Mid-term collects service annual fee for service provider, the service provider for forming firm cooperative relationship with enterprise, and system just consolidates cooperation
Project collect commission in proportion.
3rd, technical broker charging mode
System introduces the technical broker of specialty, improves on-line off-line service quality and efficiency, system will be special to broker
Item management and mandate, establishing techniques broker's appraisement system.Prior art broker docking agent skill group transfer service is free, should
After pattern is ripe, service management annual fee is collected at technical broker.
4th, media advertisement charging mode
System is realized after stable inlet flow rate and service provider, is that relevant unit sets up brand prefecture, the new matchmaker of constructing system
Body collects corresponding expense there is provided media advertisement value-added service.
5th, business activity charging mode under line
To promote on-line off-line activity fusion, system will actively develop serial below-the-line promotion roadshow, demand issue, exhibition
Show, two-way docking can etc. activity, certain service fee is collected for demand participant.
6th, member's charging mode
System carries out member's differentiated control system, and collecting a year service charge to high-grade member, there is provided value-added service.Meanwhile,
For customization demand for services member charge.
7th, major project service charge pattern between two parties
For setting up cooperation by production, study and research by system, and the project of related protocol is signed, provider collects between two parties to achievement
Service charge.Charge reaches the major project of certain standard mainly for Protocol Standard bottom, and service charge is disposably collected by a certain percentage.
8th, agent's charging mode
The system agent refers to have the ability in itself residing region independent development, laying, management node, and can carry out
The associated mechanisms or individual of technique transfers and science service business.System carries out hierarchical management system, different brackets to agent
Agent can be got a profit from above-mentioned service mode, but be taken simultaneously by both certainty ratios to total system payment management.It is high-grade
Agent can obtain mandate and strive for that local government, enterprise or colleges and universities Deng Jizhuan centers are supported with system, obtain after fund subsidy, be
System collects certain administration fee.
Claims (2)
1. the present invention proposes the big data service system framework of a wide range of technique transfers activity of a covering, upper in application, with
Big data crawl means are technical foundation, and node is new architecture pattern in a distributed manner；Technically, using tensor model, height
The transformations of scientific and technical result of the technique construction based on big data such as dimension data fusion, multi-user's behavior modeling and cloud computing.
2. the embodiments of the invention provide a kind of the big data service system and method for promotion achievements conversion, with by gathering multi-source
Isomery science data, unified representation and treatment technology and demographic data's relation, set up user characteristics model realization scientific and technological information
Intelligent recommendation and various dimensions system appraisal, solve present colleges institute science and technology and concentrate shortage marketability and pass
System manufacturing industry is backward in technique and can not find the problem of technological break-through mouthful, while also being promoted trade and investment for each place government provides personnel and technology
The real-time proposals of docking.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710432028.6A CN107122500A (en) | 2017-06-09 | 2017-06-09 | Promote the scientific and technological big data service system and method for achievements conversion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710432028.6A CN107122500A (en) | 2017-06-09 | 2017-06-09 | Promote the scientific and technological big data service system and method for achievements conversion |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107122500A true CN107122500A (en) | 2017-09-01 |
Family
ID=59730420
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710432028.6A Pending CN107122500A (en) | 2017-06-09 | 2017-06-09 | Promote the scientific and technological big data service system and method for achievements conversion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107122500A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109191290A (en) * | 2018-07-25 | 2019-01-11 | 厦门海汇运通软件有限公司 | A kind of recommended method and device of patent transaction |
| CN109919469A (en) * | 2019-02-27 | 2019-06-21 | 浪潮软件集团有限公司 | A kind of holography science data processing method |
| CN110516723A (en) * | 2019-08-15 | 2019-11-29 | 天津师范大学 | A kind of multi-modal ground cloud atlas recognition methods based on the fusion of depth tensor |
| CN110990464A (en) * | 2019-12-19 | 2020-04-10 | 绍兴市上虞区理工高等研究院 | Channel data analysis and comparison method, equipment and storage medium |
| CN117235200A (en) * | 2023-09-12 | 2023-12-15 | 杭州湘云信息技术有限公司 | Data integration method and device based on AI technology, computer equipment and storage medium |
-
2017
- 2017-06-09 CN CN201710432028.6A patent/CN107122500A/en active Pending
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109191290A (en) * | 2018-07-25 | 2019-01-11 | 厦门海汇运通软件有限公司 | A kind of recommended method and device of patent transaction |
| CN109191290B (en) * | 2018-07-25 | 2021-03-23 | 山东惠知诚远知识产权运营服务股份有限公司 | Patent transaction recommendation method and device |
| CN109919469A (en) * | 2019-02-27 | 2019-06-21 | 浪潮软件集团有限公司 | A kind of holography science data processing method |
| CN110516723A (en) * | 2019-08-15 | 2019-11-29 | 天津师范大学 | A kind of multi-modal ground cloud atlas recognition methods based on the fusion of depth tensor |
| CN110516723B (en) * | 2019-08-15 | 2023-04-07 | 天津师范大学 | Multi-modal foundation cloud picture identification method based on depth tensor fusion |
| CN110990464A (en) * | 2019-12-19 | 2020-04-10 | 绍兴市上虞区理工高等研究院 | Channel data analysis and comparison method, equipment and storage medium |
| CN110990464B (en) * | 2019-12-19 | 2024-01-12 | 绍兴市上虞区理工高等研究院 | Channel data analysis and comparison method, device and storage medium |
| CN117235200A (en) * | 2023-09-12 | 2023-12-15 | 杭州湘云信息技术有限公司 | Data integration method and device based on AI technology, computer equipment and storage medium |
| CN117235200B (en) * | 2023-09-12 | 2024-05-10 | 杭州湘云信息技术有限公司 | Data integration method and device based on AI technology, computer equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107122500A (en) | Promote the scientific and technological big data service system and method for achievements conversion | |
| CN107368967A (en) | Engineering safety quality inspection intelligent management based on internet | |
| Moore et al. | Scaling-up or going viral? Comparing self-help housing and community land trust facilitation | |
| CN106202377B (en) | A kind of online collaboration sort method based on stochastic gradient descent | |
| Li et al. | Articulating China’s science and technology: knowledge collaboration networks within and beyond the Yangtze River Delta megalopolis in China | |
| CN110009416A (en) | A kind of system based on big data cleaning and AI precision marketing | |
| CN114331020A (en) | Smart city operation management platform based on CIM model one-network management | |
| Demuynck et al. | Urban co-opetition in megaregions: Measuring competition and cooperation within and beyond the Pearl River Delta | |
| CN107977855A (en) | A kind of method and device of managing user information | |
| Hayati et al. | Local smart initiatives to enhance sustainable settlement | |
| García-Granero et al. | Is R&D Enough to Take Advantage From External Knowledge?: Focusing on Coordination Mechanisms | |
| CN108182496A (en) | A kind of city internet opens data acquisition process analysis method | |
| CN103810642B (en) | Web service based collaborative manufacturing control method and control system | |
| Liefner et al. | Advancing the structured analysis of regional innovation in China. Integrating new perspectives in a comprehensive approach | |
| Liu et al. | Evaluating the development efficiency of cultural industry by a bilateral SFA model. | |
| CN108108921A (en) | A kind of Urban landscapeplanning builds system | |
| Lim et al. | Comparing a spatial structure of innovation network between Korea and Japan: through the analysis of co-inventors’ network | |
| CN106096910A (en) | A kind of architecture design method based on information activities | |
| Hu | Exploring differentiated economic adaptation and adaptability of old industrial areas in transitional China | |
| CN107391645B (en) | A kind of logistics information automatic push and practical operation specification form system and method | |
| Shen et al. | China’s local government innovations in inter-local collaboration | |
| Luna et al. | Business associations and their contribution to knowledge networks in Mexico | |
| Liu et al. | Collaborative decision-making of wind-storage combined power generation system based on a variety of improved evaluation methods | |
| CN109165276A (en) | Self-service questionnaire logic design method and system based on natural language | |
| CN108268652A (en) | A kind of popular science knowledge commending system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20170901 |