• Title/Summary/Keyword: 특허정보검색

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Analysis of major research trends in artificial intelligence based on domestic/international patent data (국내외 특허데이터 기반의 인공지능분야 기술동향 분석)

  • Chung, Myoung Sug;Jeong, So-Hee;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • v.16 no.6
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    • pp.187-195
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    • 2018
  • Recently, the 4th industrial revolution has emerged as the core for enhancing national competitiveness, the development of a technology roadmap to efficiently develop related technologies to realize super intelligence as a main feature of the 4th Industrial Revolution is a major task has been highlighted. The objective of this study is to analyze the domestic and foreign technology level in the artificial intelligence field which is the core technology of the 4th Industrial Revolution era and to present the direction of development based on this. The keyword network analysis and the blank technical analysis based on the IPC classification were performed on the data derived from the keyword search of 'AI (Artificial Intelligence)' among domestic and foreign patent data. As a result, the number of domestic artificial intelligence related technology development was 1.2% compared with developed countries such as USA and Europe. In the major development fields, data recognition technology and digital information transmission technology were relatively insufficient. Through this study, we obtained the blank technology as a result of comparative analysis of domestic artificial intelligence related technologies compared to advanced countries and suggested the direction of domestic artificial intelligence technology development in future.

A Study on Intelligent Value Chain Network System based on Firms' Information (기업정보 기반 지능형 밸류체인 네트워크 시스템에 관한 연구)

  • Sung, Tae-Eung;Kim, Kang-Hoe;Moon, Young-Su;Lee, Ho-Shin
    • Journal of Intelligence and Information Systems
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    • v.24 no.3
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    • pp.67-88
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    • 2018
  • Until recently, as we recognize the significance of sustainable growth and competitiveness of small-and-medium sized enterprises (SMEs), governmental support for tangible resources such as R&D, manpower, funds, etc. has been mainly provided. However, it is also true that the inefficiency of support systems such as underestimated or redundant support has been raised because there exist conflicting policies in terms of appropriateness, effectiveness and efficiency of business support. From the perspective of the government or a company, we believe that due to limited resources of SMEs technology development and capacity enhancement through collaboration with external sources is the basis for creating competitive advantage for companies, and also emphasize value creation activities for it. This is why value chain network analysis is necessary in order to analyze inter-company deal relationships from a series of value chains and visualize results through establishing knowledge ecosystems at the corporate level. There exist Technology Opportunity Discovery (TOD) system that provides information on relevant products or technology status of companies with patents through retrievals over patent, product, or company name, CRETOP and KISLINE which both allow to view company (financial) information and credit information, but there exists no online system that provides a list of similar (competitive) companies based on the analysis of value chain network or information on potential clients or demanders that can have business deals in future. Therefore, we focus on the "Value Chain Network System (VCNS)", a support partner for planning the corporate business strategy developed and managed by KISTI, and investigate the types of embedded network-based analysis modules, databases (D/Bs) to support them, and how to utilize the system efficiently. Further we explore the function of network visualization in intelligent value chain analysis system which becomes the core information to understand industrial structure ystem and to develop a company's new product development. In order for a company to have the competitive superiority over other companies, it is necessary to identify who are the competitors with patents or products currently being produced, and searching for similar companies or competitors by each type of industry is the key to securing competitiveness in the commercialization of the target company. In addition, transaction information, which becomes business activity between companies, plays an important role in providing information regarding potential customers when both parties enter similar fields together. Identifying a competitor at the enterprise or industry level by using a network map based on such inter-company sales information can be implemented as a core module of value chain analysis. The Value Chain Network System (VCNS) combines the concepts of value chain and industrial structure analysis with corporate information simply collected to date, so that it can grasp not only the market competition situation of individual companies but also the value chain relationship of a specific industry. Especially, it can be useful as an information analysis tool at the corporate level such as identification of industry structure, identification of competitor trends, analysis of competitors, locating suppliers (sellers) and demanders (buyers), industry trends by item, finding promising items, finding new entrants, finding core companies and items by value chain, and recognizing the patents with corresponding companies, etc. In addition, based on the objectivity and reliability of the analysis results from transaction deals information and financial data, it is expected that value chain network system will be utilized for various purposes such as information support for business evaluation, R&D decision support and mid-term or short-term demand forecasting, in particular to more than 15,000 member companies in Korea, employees in R&D service sectors government-funded research institutes and public organizations. In order to strengthen business competitiveness of companies, technology, patent and market information have been provided so far mainly by government agencies and private research-and-development service companies. This service has been presented in frames of patent analysis (mainly for rating, quantitative analysis) or market analysis (for market prediction and demand forecasting based on market reports). However, there was a limitation to solving the lack of information, which is one of the difficulties that firms in Korea often face in the stage of commercialization. In particular, it is much more difficult to obtain information about competitors and potential candidates. In this study, the real-time value chain analysis and visualization service module based on the proposed network map and the data in hands is compared with the expected market share, estimated sales volume, contact information (which implies potential suppliers for raw material / parts, and potential demanders for complete products / modules). In future research, we intend to carry out the in-depth research for further investigating the indices of competitive factors through participation of research subjects and newly developing competitive indices for competitors or substitute items, and to additively promoting with data mining techniques and algorithms for improving the performance of VCNS.

Analysis of Massive Scholarly Keywords using Inverted-Index based Bottom-up Clustering (역인덱스 기반 상향식 군집화 기법을 이용한 대규모 학술 핵심어 분석)

  • Oh, Heung-Seon;Jung, Yuchul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.758-764
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    • 2018
  • Digital documents such as patents, scholarly papers and research reports have author keywords which summarize the topics of documents. Different documents are likely to describe the same topic if they share the same keywords. Document clustering aims at clustering documents to similar topics with an unsupervised learning method. However, it is difficult to apply to a large amount of documents event though the document clustering is utilized to in various data analysis due to computational complexity. In this case, we can cluster and connect massive documents using keywords efficiently. Existing bottom-up hierarchical clustering requires huge computation and time complexity for clustering a large number of keywords. This paper proposes an inverted index based bottom-up clustering for keywords and analyzes the results of clustering with massive keywords extracted from scholarly papers and research reports.

Proposal of a Hypothesis Test Prediction System for Educational Social Precepts using Deep Learning Models

  • Choi, Su-Youn;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.9
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    • pp.37-44
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    • 2020
  • AI technology has developed in the form of decision support technology in law, patent, finance and national defense and is applied to disease diagnosis and legal judgment. To search real-time information with Deep Learning, Big data Analysis and Deep Learning Algorithm are required. In this paper, we try to predict the entrance rate to high-ranking universities using a Deep Learning model, RNN(Recurrent Neural Network). First, we analyzed the current status of private academies in administrative districts and the number of students by age in administrative districts, and established a socially accepted hypothesis that students residing in areas with a high educational fever have a high rate of enrollment in high-ranking universities. This is to verify based on the data analyzed using the predicted hypothesis and the government's public data. The predictive model uses data from 2015 to 2017 to learn to predict the top enrollment rate, and the trained model predicts the top enrollment rate in 2018. A prediction experiment was performed using RNN, a Deep Learning model, for the high-ranking enrollment rate in the special education zone. In this paper, we define the correlation between the high-ranking enrollment rate by analyzing the household income and the participation rate of private education about the current status of private institutes in regions with high education fever and the effect on the number of students by age.

Identifying potential buyers in the technology market using a semantic network analysis (시맨틱 네트워크 분석을 이용한 원천기술 분야의 잠재적 기술수요 발굴기법에 관한 연구)

  • Seo, Il Won;Chon, ChaeNam;Lee, Duk Hee
    • Journal of Technology Innovation
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    • v.21 no.1
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    • pp.279-301
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    • 2013
  • This study demonstrates how social network analysis can be used for identifying potential buyers in technology marketing; in such, the methodology and empirical results are proposed. First of all, we derived the three most important 'seed' keywords from 'technology description' sections. The technologies are generated by various types of R&D activities organized by South Korea's public research institutes in the fundamental science fields. Second, some 3, 000 words were collected from websites related to the three 'seed' keywords. Next, three network matrices (i.e., one matrix per seed keyword) were constructed. To explore the technology network structure, each network is analyzed by degree centrality and Euclidean distance. The network analysis suggests 100 potentially demanding companies and identifies seven common companies after comparing results derived from each network. The usefulness of the result is verified by investigating the business area of the firm's homepages. Finally, five out of seven firms were proven to have strong relevance to the target technology. In terms of social network analysis, this study expands its application scope of methodology by combining semantic network analysis and the technology marketing method. From a practical perspective, the empirical study suggests the illustrative framework for exploiting prospective demanding companies on the web, raising possibilities of technology commercialization in the basic research fields. Future research is planned to examine how the efficiency of process and accuracy of result is increased.

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Activation Factors of Industry Cooperation through Comparison Study on Domestic and International Industry Cooperation Programs (국내외 산학협력프로그램 비교를 통한 산학협력 활성화 방안 연구)

  • Kim, Hye Sun;Kim, Jong Boo;Kim, Hyoung Ro
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.2
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    • pp.187-200
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    • 2014
  • Industry Cooperation is not the choice of national development but the inevitable component in the world. Industry cooperation results of the reconstruction of the country is an important place as an essential element of the economic development of the national policy in the major economies. Despite several changes in the international economic environment, United States, Canada, Finland, Sweden, Israel settled and maintaining the sustainable development of the countries which successfully established Industry-University Cooperation or Industry-Acaemy Cooperation system in history. In this study, delivered to the realistic ways of Industry cooperation through comparison study on domestic and international cooperation programs. The new activation programs of industry academic cooperation are delivered, that is, The bonus payments system of technology development patent and free technology transfer for joint development, bonus points system and evaluation indicators for joint capacity building program which participate student, industry and academic sector, step-by-step training. system for total employment and entrepreneurship at the same time strengthening management training programs and education opportunity gives to the benefits for the community members. Finally, Intellectual property expert matching program which develops basis of technology trader and expert maps in the smallest unit by administrative area. practice the internet information search services in national wide network for this matching program and government office dedicated to staffing for technology transfer.

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A Network Analysis of the Research Trends in Fingerprints in Korea (네트워크 분석을 활용한 국내 지문인식연구의 동향분석)

  • Jung, Jinhyo;Lee, Chang-Moo
    • Convergence Security Journal
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    • v.17 no.1
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    • pp.15-30
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    • 2017
  • Since the 1990s, fingerprint recognition has attracted much attention among scholars. There have been numerous studies on fingerprint recognition. However, most of the academic papers have focused mainly on how to make a technical advance of fingerprint recognition. there has been no significant output in the analysis of the research trends in fingerprint recognition. It's essential part to describe the overall structure of fingerprint recognition to make further studies much more efficient and effective. To this end, the primary purpose of this article is to deliver an overview of the research trends on fingerprint recognition based on network analysis. This study analyzed abstracts of the 122 academic journals ranging from 1990 to 2015. For gathering those data, the author took advantage of an academic searchable data base-RISS. After collecting abstracts, cleaning process was carried out and key words were selected by using Krwords and R; co-occurrence symmetric matrix made up of key words was created by Ktitle; and Netminer was employed to analyze closeness centrality. The result achieved from this work included followings: research trends in fingerprint recognition from 1990 to 2000, 2001 to 2005, 2006 to 2010, and 2011 to 2015.

Performance Evaluation Method for Facility Inspection and Diagnostic Technologies (첨단기술을 활용한 시설물 점검 및 진단 기술 검·인증을 위한 성능평가 방법론)

  • Lee, Young-Ho;Bae, Sung-Jae;Jung, Wook;Cho, Jae-Yong;Hong, Sung-Ho;Nam, Woo-Suk;Kim, Young-Min;Kim, Jung-Yeol
    • Journal of the Society of Disaster Information
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    • v.16 no.1
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    • pp.178-191
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    • 2020
  • Purpose: This paper proposes a performance evaluation method for state-of-the-art facility inspection/diagnostic equipment through a trend survey of equipment and standardization systems of US, Japan, and Korea. This paper also suggests the priority of developing a performance evaluation method through expert interviews and surveys. Method: In this study, report for the last 5 years of FMS, state-of-the-art equipment of facility maintenance companies/safety diagnosis specialist agencies and papers/research reports/patents of NTIS were analyzed to identify recent trends of facility inspection/diagnostic equipment usages. standardization system of US, Japan, and Korea were analyzed to figure out a suitable form of a performance evaluation method for the domestic situation. And expert interview and survey were conducted to identify the priority of developing a performance evaluation method. Result: The performance evaluation method must be developed by the shape that only evaluates performance, regardless of types of equipment, on inspection item level for creative technology development. The priority of developing the performance evaluation method was identified as crack detection of concrete for durability evaluation and displacement/deformation/fatigue detection of concrete and steel for stability evaluation. Conclusion: The performance evaluation method will be developed firstly for the crack detection of concrete for durability evaluation and displacement/deformation/fatigue detection of concrete/steel for stability evaluation. In order to promote creative technology development, the performance evaluation method should be developed in a form that provides standardized specimens or testbeds and can be applied regardless of types of technologies.