• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.134-142
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• 2016

Main infrastructures, such as levee, dam, bridge, road, etc., are very important due to not only the means of support for social and industrial activities in normal situation but also the means of protection of life and property during disaster occurrence. In spite of this importance of infrastructures, however, any disaster management systems that actively use these infrastructures are not developed yet. Moreover, infrastructures are not usually included in emergency action plans, thus it occurs second and third impact on communities and industries due to collapsing or damage of infrastructures. Therefore, the authors in this paper analyzed previous research, SWOT, STEEP, and patents and technical journals and conducted a technology need survey ni order to understand the trend of disaster management system as well as suggest main research fields and detail research items. The results of this paper will be a foundation of developing an advanced infrastructure integrated system of maintenance and disaster mitigation and contribute our nation to have an active response system by using infrastructure.

• Knowledge Management Research
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• v.21 no.4
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• pp.195-210
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• 2020

Recently, the value of intellectual property rights including patents has been estimated for various purposes. In particular, the evaluation of loans, guarantees and collateral through patent valuation is increasing with the revitalization of technology financing. Although various studies have been conducted on patent valuation, little research has been done on the adequacy of patent valuation. In this study, using the DCF model, which is the most commonly used method of technology valuation, we examine the appropriateness of the patent valuation by comparing and analyzing the estimated value and actual value of the patent. An empirical result shows that the difference between estimated value and the actual value is statistically significant, and there is a significant difference between the estimated value and the actual value depending on the classification of evaluation work. In addition, while there is no difference between professors, patent attorneys, and researchers in the analysis of value differences according to technical evaluators, there is a significant difference between patent attorneys and other evaluators. Finally, we find a significant value difference between estimated value and actual value of technology subject to evaluation by industry.

• Journal of Bio-Environment Control
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• v.16 no.1
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• pp.13-20
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• 2007

This study was conducted to collect the basic data fo the development ot hydroponic technique and the efficient promotion of water culture. We have also analysed the water culture associated domestic patent application informations searching for on-line internet site with an admission fee (http://www2.wips.co.kr) from the year 1983 to January, 2006. Fifty nine patent applications related to the hydroponics were searched for in this study. Main patent contents applied were as followed in the order of that nineteen applications about the hydroponic equipments by 32.2%, thirteen applications about the materials used in water culture by 22.0%, eleven applications about the composition of nutrient solution by 18.6%, nine applications about the cultural methods by 15.3%, and seven applications about the cultural media by 11.9%. The compositions of nutrient solution and the cultural methods intended for specific crops were increased in number following five applications about tomato plants and four applications about potatoes. Thirty three patents (55.9%) were mainly applied before the year 2000. Main patent contents were the compositions of nutrient solution before the year 2000 in contrast to the cultural methods and substrates after the year 2000.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2507-2517
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• 2015

In this research, we aim to analyze the trend of Huawei's PCT patent applications. As a result of analyzing Huawei's PCT patents by dividing temporal spans into three periods - the early 2000s, the late 2000s, and the early 2010s -, the following characteristics have been observed. First, the number of PCT patent applications has conspicuously increased from the early 2000s to the late 2000s and this trend has continued during the early 2010s. Second, in terms of a core technological field, whereas Huawei focused on the development of technologies in the 'H04L: transmission of digital information' sector during the early/late 2000s, it changed this field to the 'H04W: wireless communication networks' sector during the early 2010s. Lastly, in the case of the patent maps, it was found that while general communications technologies, as expressed with such keywords as 'user' and 'network,' were actively developed during the early/late 2000s, mobile phone-related technologies grasped this leading position, as shown with the keywords including 'user equipment,' 'base station,' and 'MME,' during the early 2010s. It was also noticeable that Huawei filed LTE-related patent applications more actively than Apple and Samsung Electronics, which implies that it will presumably pioneer the global market more aggressively than its competitors in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.12
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• pp.394-399
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• 2016

This study examines how the patent results of the University Academic-Industrial Cooperation influence technology transfer. Statistical analysis was performed by using 2013 panel data from the Ministry of Education and Science Technology(MEST) National Research Foundation of Korea(NRF) and the results are as follows. The results show that the patent result factors that have a positive effect on the total number of technology transfers are domestic patent application numbers, foreign patent application numbers, future technology(6T) patent application numbers, science technology patent application numbers. The factors that have a positive effect on increasing royalty are the total number of technology transfers. Domestic patent application numbers, future technology(6T) patent application numbers and science technology patent application numbers have a positive effect on patent results. The results implicate that more research and development is needed for more patents to be applied, that the main focus should be on future technology(6T) and science technology fields, and that effort should be directed at planning negotiation strategies for the term of the contract. However, this study is the need to research, including primary research is so patent performance may be limited in having only been considered in future studies of human and material resources and operating system factors that may be presented to the essential elements of the Industry-Academic Cooperation Foundation this raises.

• Journal of Technology Innovation
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• v.25 no.4
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• pp.1-15
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• 2017

In 2014, the Financial Services Commission designated the Tech Credit Bureaus(TCB) to issue technical credit evaluation reports. The Five credit rating agencies, KEB Hana Bank and others have issued the technical credit reports since the summer in 2014. Meanwhile, the technology evaluation model of KEB Hana Bank consists of 25 detailed evaluation items. These item classes are weighted and the technology rating is systematically. The technology rating is combined with the credit rating to calculate the technology-credit rating. In this paper, we analyzed the 406 evaluation results issued by KEB Hana Bank. Based on the number of years of work experience, company managerial years, technical personnel score, the possession of R&D department, the amount of R&D investment, the number of certifications, and the number of patents, the Correlation between the above items and the technical grade was analyzed. It was found that quantitative indicators such as the presence of R&D department, patent numbers, and R&D investment expenses had a significant effect on the company's technology grade, and in particular, the presence of R&D department was shown a high correlation with the technology rating.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.74-82
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• 2016

The term research institute spin-offs refers to new firms created by public research institutes. These spin-offs are different from other start-ups in two respects: on the one hand, they should be located in the Special Research and Development Zones and, on the other hand, these firms are supposed to commercialize the results of public R&D activities. These spin-off firms show higher rates of survival and job creation than general new firms, which means that their contribution to economic growth is not negligible. The present study analyzes the factors affecting research institute spin-offs using a random effect panel logit model and negative binomial model. From previous studies, four elements are identified as playing an important role in the commercialization of public R&D through spin-offs, namely their organizational character, research capability, technological character, and geographical location. The empirical results demonstrate that government research institutes with more researchers and patents are more likely to create new firms. In addition, the location of the institutes significantly affects the probability of their creating spin-offs and their number. When the technological stage and TLO size are considered, however, it turns out that the number of researchers and technological stage play important roles in the spin-offs.

• Knowledge Management Research
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• v.25 no.1
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• pp.21-41
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• 2024

The global Industry has been shaped by start-ups that originated with knowledge-based innovative strategies or technologies in the 21st century. Specifically, laboratory start-ups that rely on research papers or patents for new technology development are recognized for their high survival rate and the creation of employment opportunities. Our study concentrated on 'I-Corps', which also introduced in Korea, standing for innovation corps is a laboratory startup program launched in 2011 by the NSF(National Research Foundation) to commercialize R&D results and foster entrepreneurship as part of the policy to build a start-up system at the national innovation level. In this study, we proposed and empirically tested a research model focusing on teams participating in the I-Corps program to determine how startup team diversity, among the team characteristics of laboratory startups, affected patent performance. As a result of the analysis, among the proposed variables, age diversity, educational background diversity, and value diversity had a significant impact on patent performance. The results of this study are expected to further strengthen the theoretical and practical foundations of researchers or practitioners of the I-Corps program, as well as related areas involving technology & laboratory startups, intellectual property and knowledge management fields in the future.

• The Korean Journal of Food And Nutrition
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• v.29 no.6
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• pp.835-848
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• 2016

The purpose of this study was to find efficient and customized tools for delivering the benefit of health functional foods (HFFs). Delivery tools which could influence the impact of advertising were images, explanations of ingredients, diagrams of health benefit, patents, and comments from authority. Six advertisements were developed using these tools: "A": relevant image + explanation of ingredients + scientific diagram of efficacy; "B": relevant image + explanation of ingredients; "C": relevant image; "D": irrelevant image; "E": irrelevant image + explanation of ingredient + patent; "F": irrelevant image + explanation of ingredient + comments from authority. To analyze the consumer perceptions on HFFs and advertisement effects, 300 respondents were requested to answer a questionnaire comprising of the following questions: 5 questions of attitudes (necessity of HFFs, trust in HFFs, gathering information, watching advertisements and trust in advertisement claims) and 6 questions on the 6 developed advertisements (attention, understanding, sufficiency of information, sympathy, trust, and purchase). Scoring was done as per the 5 Likert scale. There was a higher proportion of females and the elderly, as compared to males and youngsters. The overall consumer attitudes were positive. Explanation of ingredients, scientific diagram of health benefit, patents and expert comments were helpful factors in increasing the advertisement evaluation by consumer, but the images were not. Advertisement evaluation of consumer did not differ with gender and age. However, differences were observed between some of the consumer attitudes (necessity of HFFs, trust in HFFs, gathering information and trust in advertisements claim) and advertisement evaluations (attention, understanding, sympathy and purchase). Our results indicate that for consumers utilizing the HFFs, advertisements with concrete tools such as diagrams, patent, and expert comments are more helpful. However, for consumers who do not have interest in HFFs, the scientific information was irrelevant. We believe that to maximize the effect of health information in advertisements, consumers should be segmented, and customized tools for each segment needs to be developed.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.79-92
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• 2015

Knowledge map is widely used to represent knowledge in many domains. This paper presents a method of integrating the national R&D data and assists of users to navigate the integrated data via using a knowledge map service. The knowledge map service is built by using a lightweight ontology and a topic modeling method. The national R&D data is integrated with the research project as its center, i.e., the other R&D data such as research papers, patents, and reports are connected with the research project as its outputs. The lightweight ontology is used to represent the simple relationships between the integrated data such as project-outputs relationships, document-author relationships, and document-topic relationships. Knowledge map enables us to infer further relationships such as co-author and co-topic relationships. To extract the relationships between the integrated data, a Relational Data-to-Triples transformer is implemented. Also, a topic modeling approach is introduced to extract the document-topic relationships. A triple store is used to manage and process the ontology data while preserving the network characteristics of knowledge map service. Knowledge map can be divided into two types: one is a knowledge map used in the area of knowledge management to store, manage and process the organizations' data as knowledge, the other is a knowledge map for analyzing and representing knowledge extracted from the science & technology documents. This research focuses on the latter one. In this research, a knowledge map service is introduced for integrating the national R&D data obtained from National Digital Science Library (NDSL) and National Science & Technology Information Service (NTIS), which are two major repository and service of national R&D data servicing in Korea. A lightweight ontology is used to design and build a knowledge map. Using the lightweight ontology enables us to represent and process knowledge as a simple network and it fits in with the knowledge navigation and visualization characteristics of the knowledge map. The lightweight ontology is used to represent the entities and their relationships in the knowledge maps, and an ontology repository is created to store and process the ontology. In the ontologies, researchers are implicitly connected by the national R&D data as the author relationships and the performer relationships. A knowledge map for displaying researchers' network is created, and the researchers' network is created by the co-authoring relationships of the national R&D documents and the co-participation relationships of the national R&D projects. To sum up, a knowledge map-service system based on topic modeling and ontology is introduced for processing knowledge about the national R&D data such as research projects, papers, patent, project reports, and Global Trends Briefing (GTB) data. The system has goals 1) to integrate the national R&D data obtained from NDSL and NTIS, 2) to provide a semantic & topic based information search on the integrated data, and 3) to provide a knowledge map services based on the semantic analysis and knowledge processing. The S&T information such as research papers, research reports, patents and GTB are daily updated from NDSL, and the R&D projects information including their participants and output information are updated from the NTIS. The S&T information and the national R&D information are obtained and integrated to the integrated database. Knowledge base is constructed by transforming the relational data into triples referencing R&D ontology. In addition, a topic modeling method is employed to extract the relationships between the S&T documents and topic keyword/s representing the documents. The topic modeling approach enables us to extract the relationships and topic keyword/s based on the semantics, not based on the simple keyword/s. Lastly, we show an experiment on the construction of the integrated knowledge base using the lightweight ontology and topic modeling, and the knowledge map services created based on the knowledge base are also introduced.