• Title/Summary/Keyword: Patent Technology

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Smarter Classification for Imbalanced Data Set and Its Application to Patent Evaluation (불균형 데이터 집합에 대한 스마트 분류방법과 특허 평가에의 응용)

  • Kwon, Ohbyung;Lee, Jonathan Sangyun
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.15-34
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    • 2014
  • Overall, accuracy as a performance measure does not fully consider modular accuracy: the accuracy of classifying 1 (or true) as 1 is not same as classifying 0 (or false) as 0. A smarter classification algorithm would optimize the classification rules to match the modular accuracies' goals according to the nature of problem. Correspondingly, smarter algorithms must be both more generalized with respect to the nature of problems, and free from decretization, which may cause distortion of the real performance. Hence, in this paper, we propose a novel vertical boosting algorithm that improves modular accuracies. Rather than decretizing items, we use simple classifiers such as a regression model that accepts continuous data types. To improve the generalization, and to select a classification model that is well-suited to the nature of the problem domain, we developed a model selection algorithm with smartness. To show the soundness of the proposed method, we performed an experiment with a real-world application: predicting the intellectual properties of e-transaction technology, which had a 47,000+ record data set.

Exporting and IPR Creation Use of Firms (기업의 수출활동과 지식재산권 창출활용)

  • Rho, Sung-Ho
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.7
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    • pp.891-900
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    • 2019
  • In this paper, we investigate the relationship between IPR creation and export activity. And we try to examine the effects of IPR use as innovation on export performance. The dataset used in the empirical analysis are the annual "Survey of Business Activity(2006~2014)" panel data which include total of 6,144 samples of firms. Data set includes the sample characteristic such as employee, industry, export performance, possession/use/development of IPR. According to analysis results, this paper confirms that R&D and export activities of firms make positive effects on IPR creation. In addition, this paper finds that IPR use of firms make positive effects on firm's export performance. Exporting firms achieve higher export performance by developing new products and processes to enter and compete in overseas markets. In addition, exporting firms can achieve higher performance by using intellectual property rights to appropriate innovation outcomes in foreign markets and to exclude the possibility of patent disputes in advance.

A study on academic articles of industry-academic cooperation through keyword network analysis (키워드 네트워크 분석을 통한 산학협력 학술논문 연구)

  • Kwon, Sun-hee
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.43-50
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    • 2021
  • This paper aims to identify trends of domestic industry-academic cooperation through comparative analysis of domestic and overseas academic articles published over the past 10 years (2011-2021). To this end, keyword network analysis and topic modeling analysis were performed to identify the characteristics of the entire articles collected. As results, it turned out that domestic articles included school, employment, education, patent, and professor as a major keyword while for overseas articles, project, policy, innovation, and company were the main topics, and related keywords were found to be influential. These results suggest that domestic industry-academic cooperation would have been designed and led by universities focusing on education for employment, and need to be carried out more actively in the areas of 'research' and 'technology transfer with the government's related policies and support on establishing two-way relationships that can benefit both schools and participating companies.

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.

International Patent Classificaton Using Latent Semantic Indexing (잠재 의미 색인 기법을 이용한 국제 특허 분류)

  • Jin, Hoon-Tae
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.1294-1297
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    • 2013
  • 본 논문은 기계학습을 통하여 특허문서를 국제 특허 분류(IPC) 기준에 따라 자동으로 분류하는 시스템에 관한 연구로 잠재 의미 색인 기법을 이용하여 분류의 성능을 높일 수 있는 방법을 제안하기 위한 연구이다. 종래 특허문서에 관한 IPC 자동 분류에 관한 연구가 단어 매칭 방식의 색인 기법에 의존해서 이루어진바가 있으나, 현대 기술용어의 발생 속도와 다양성 등을 고려할 때 특허문서들 간의 관련성을 분석하는데 있어서는 단어 자체의 빈도 보다는 용어의 개념에 의한 접근이 보다 효과적일 것이라 판단하여 잠재 의미 색인(LSI) 기법에 의한 분류에 관한 연구를 하게 된 것이다. 실험은 단어 매칭 방식의 색인 기법의 대표적인 자질선택 방법인 정보획득량(IG)과 카이제곱 통계량(CHI)을 이용했을 때의 성능과 잠재 의미 색인 방법을 이용했을 때의 성능을 SVM, kNN 및 Naive Bayes 분류기를 사용하여 분석하고, 그중 가장 성능이 우수하게 나오는 SVM을 사용하여 잠재 의미 색인에서 명사가 해당 용어의 개념적 의미 구조를 구축하는데 기여하는 정도가 어느 정도인지 평가함과 아울러, LSI 기법 이용시 최적의 성능을 나타내는 특이값의 범위를 실험을 통해 비교 분석 하였다. 분석결과 LSI 기법이 단어 매칭 기법(IG, CHI)에 비해 우수한 성능을 보였으며, SVM, Naive Bayes 분류기는 단어 매칭 기법에서는 비슷한 수준을 보였으나, LSI 기법에서는 SVM의 성능이 월등이 우수한 것으로 나왔다. 또한, SVM은 LSI 기법에서 약 3%의 성능 향상을 보였지만 Naive Bayes는 오히려 20%의 성능 저하를 보였다. LSI 기법에서 명사가 잠재적 의미 구조에 미치는 영향은 모든 단어들을 내용어로 한 경우 보다 약 10% 더 향상된 결과를 보여주었고, 특이값의 범위에 따른 성능 분석에 있어서는 30% 수준에 Rank 되는 범위에서 가장 높은 성능의 결과가 나왔다.

Anti-norovirus activity of natural compounds and its potential in food application (항노로바이러스 천연물을 이용한 식품개발)

  • Kim, Yeon-Ji;Lee, Jeong Su;Joo, In Sun;Lee, Sung-Joon
    • Food Science and Industry
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    • v.50 no.1
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    • pp.67-73
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    • 2017
  • Control of food pathogens is critical in food safety field. Norovirus is one of the major causes of gastroenteritis and food poisoning worldwide, however, currently, there is not a vaccine or a specific drug available for its treatment. There are several methods to inactivate norovirus during food processing by chemical and physical treatments, however, the use of natural substance has been suggested as an optional strategy due to their safety and consumer preference. In this study supported by Ministry of Food and Drug Safety in Korea, we identified novel plant-derived substances with significant anti-norovirus activities. The aim of this project was to determine the antiviral activity of a wide range of natural substances, including plant-derived extracts and essential oils, using a norovirus surrogate system, human norovirus replicon-bearing cells, and mouse in vivo experiments. During the activity screening test, we identified novel anti-norovirus substances or oils using plaque assay with MNV-1. Six selected substances were formulated into an optimum mixture and used as an ingredient for salad sauce of which anti-novovirus activity was confirmed(pending for patent and paper submission). The potential application of selected natural substances as a metal surface sanitizer was also tested. Interestingly, the mixture of selected natural compounds showed a significant inhibitory effect against norovirus. These results suggest that these substances may be used as food ingredient with anti-norovirus antivity or components for surface sanitizers to prevent norovirus contamination.

An Empirical Study for Developing a Participant-Oriented University Startup Education Program (참여자 지향적 대학 창업교육 프로그램 개발을 위한 실증적 연구)

  • Jang, Kwang-Hee
    • Asia-Pacific Journal of Business
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    • v.10 no.3
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    • pp.113-124
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    • 2019
  • With the decline in the college student population and the increase in the youth unemployment rate, the university began to be interested in starting a business. Under the initiative of the government, the start-up support project was reflected in the university's educational programs, which led to the university students receiving various start-up support benefits. In response to the expansion of entrepreneurship education, various entrepreneurship education programs and support programs were applied in line with the government's efforts to start college students. As a result, students' entrepreneurial competence and willingness to start up increased. College student entrepreneurs and entrepreneurs are increasing. The increase of university student start-up companies is taking place in the entrepreneurial education environment within the university, and the support of university, community, and start-up support institutions for university student start-up, the starting point of the start-up ecosystem, is paying off. It can be seen that the youth entrepreneurship ecosystem based on university entrepreneurship education is in place. The university supports the entire business process from idea development, such as start-up classes, start-up club support, patent application support, prototype development support, and investment linkage. However, there is a university that develops and operates a unique program for each school and a university that does not. Therefore, it is necessary to develop an education program that can produce efficient results. The purpose of this study is to support the start-up program of the university to be the consumer-centered start-up support.

A Study on Improvement of the Calculation Methodology of Employee Invention Compensation (직무발명 보상액 산정 방법론의 개선 방안 연구)

  • Cho, Myunggeun;Lee, Hwansoo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.12
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    • pp.101-110
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    • 2017
  • According to the Statistics Korea in 2016, 56.9% of companies do not fairly pay compensation for employee invention, despite the increasing proportion of the inventions in corporations. One reason is that the objective calculation method for employee and patent's contribution and the clear standard of fair compensation have not been established. Therefore, this study proposes a new calculation method using DCF (Discounted cash flow) and AHP (Analytical hiearchy process) methodology to calculate the fair amount of employee invention compensation, and verified it through real case examples. As a result, 2.3 times higher amount of compensation was calculated than the previous approach. This study is meaningful that it provided objective compensation criteria that could more protect the inventor in the situation which the clear criteria for the calculation of fair compensation are not established. This methodology is expected to be applicable for SMEs as employee invention compensation.

A Study on the Intellectual property rights for the protection of financial instruments (금융상품의 보호를 위한 지식재산권 연구)

  • You, Hyun-Woo
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.3
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    • pp.1-9
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    • 2017
  • Financial instruments are economic and intangible assets that bring financial company tremendous economic returns when it is a success. Also, It is necessary to protect this because it is a product of effort made by a lot of human resources and materials. However, legal and institutional devices for financial instruments are insufficient currently and 'copying practices' are rampant throughout the industry in korea. This ultimately inhibits the utility and welfare of consumers, but also adversely affects the competitiveness of the financial industry. In order to finance innovation that new financial products and services have appeared, it is necessary to grant the appropriate rights, such as intellectual property rights of financial instruments. And, there is a need for measures to protect it. Thus, this study proposed new way protecting the financial instruments through Intellectual property right. It is the introduction of similar protection system to financial instruments, such as mechanisms that protect database producers in copyright law.

A Network Analysis on Industry-University Cooperation based on Big Data Analytics (빅데이터 기반 산학협력 네트워크 분석)

  • Dae-Hee Kang;Hyunchul Ahn
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.109-124
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    • 2021
  • In this paper, the structural characteristics of Industry-University cooperation networks are analyzed using network analysis. Recent studies have shown that technological cooperation and joint research has a positive effect on R&D performance. In order to boost innovation performance, various types of cooperative activities and governmental policy supports for major R&D stakeholders(i.e. universities, laboratories, etc.) are provided. However, despite these efforts, the outcome is still insufficient, so it is time to prepare for a plan to build an innovative network to strengthen university-centered Industry-University cooperation activities. Specifically, this study builds the networks according to the form of Industry-University cooperations(i.e. patent, paper, joint research, and technology transfer), and different types of Industry-University cooperation networks are analyzed from a statistical viewpoint by using QAP correlation and regression analyses. The analysis results show that joint research network is closely related to paper network, and is related to other Industry-University cooperation networks. This study is expected to shed a light on supporting innovation activities such as establishing Industry-University cooperation strategies and discovering cooperative partners necessary for creating new growth engines for universities.