• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.79-101
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• 2021

The purpose of this research is to define detailed technologies of smart city based on excellent patents through patent analysis related to major technologies of smart city, and to use quantitative indicators to classify relatively high technology importance and identify related technologies. To achieve the purpose of the study, patent collection is conducted by reflecting literature research and expert opinions based on information related to the smart city Internet of Things/Internet of Things communication core technology. Also, DEA were used to determine the relatively high technology. The inputs and outputs used in the study used quantitative indicators to determine technical value and made up of impact assessment, performance assessment and value assessment. As a result of the analysis, various technology groups were classified into smart city-related platform technologies, information sharing technologies, and network-related technologies, and based on the results of this research, it is expected that it will be able to apply technology patents related to smart cities to research and development strategies through key detailed technologies by major technologies of Smart City.

• Journal of Korea Technology Innovation Society
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• v.14 no.2
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• pp.373-404
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• 2011

The purpose of research is to reveal the effect of innovation to enterprises' economic performance. The kind of this study has begun since 1960s and lively progressed then. The fmal theoretical result of the effect of innovation to the performance came positive in compare to the mixed results came out in empirical analysis. There are several reason why empirical results are different to the theoretical results. However the major factor is that of using imperfect statistics and inappropriateness of analysis method. This study used a population (1990~2008) provided from Korean Intellectual Property Office, KIPO for patent and also used a population (1990~2008) provided from Korea Investors Service, KIS for research and development. The contribution of this study is enormous statistical analysis. This study used principal component analysis made innovativeness index for appropriate index sampling, and made effort to minimize the error by using appropriate quantile regression for both to panel analysis and rapidly developed company analysis. Dividing the final results into two parts, the growth and the profit, the effect of technological innovation to the firm's growth is not significant to the panel analysis but heavily significant to the upper 10% of high growth firm. By classifying large company and small and medium enterprise, it is significant to upper 10% of high growth firm for large company and generally significant to small and medium enterprise. But for both lower 10% of low growth firms and 25% of low ranking firms are negatively effected, and for high growth firms larger than the medians are positively effected. Especially for upper 10% of high growth firms are mostly effected. It is more effective to the profitability than the growth. The effect to the profit for every enterprises are not significant, but effected significant to the larger enterprises than 25% of low ranking enterprises especially most effective to the upper 10% of high-profit enterprises. The analysis for the large company, it was significant and positively effected to the upper 10% of high profit enterprises and 25% of low ranking enterprises, but the negatively effected for the low-profit enterprises. For the small and medium enterprises, it is negatively effected for both 10% of low ranking enterprises and 25% of low ranking enterprises. However it is positively effective and significant for the high ranking enterprises than median, especially for those high growth firms. It is meaningful to recognize significancy by quantile, but more implicative result is to finding more effectiveness to the small and medium enterprises than to the large company.

• Korean small business review
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• v.42 no.1
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• pp.43-56
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• 2020

The technology conflict between the U.S. and China is deepening recently. The U.S.-China battle began as a national security issue but is comprehending as a U.S.'s check for China's rapid technological advancement. China is rapidly growing in several indexes including R&D expenditure, patent application, and publications, and is challenging the U.S. in 5G and Artificial Intelligence. In 2018, Huawei became the largest 5G network/equipment provider and second largest smart phone manufacturer in the world. Now, Huawei is outperforming at AI chipset manufacturing, Bigdata analysis and cloud, positioning to become a critical player in the 4th industrial revolution. The purpose of this research is to analyze the effect of recent Huawei issues to Korean SMEs focusing on the relation between Huawei and Korean companies; the cooperation status from the Global Value Chain (GVC) perpsective, and Korean government's policies related to Huawei's information security issues will be the three main frames for the analysis. Then, this research proposes policy implications such as increasing Korea's competitiveness in manufacturing and information security.

• Journal of Engineering Education Research
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• v.9 no.2
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• pp.5-20
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• 2006

This study is a part of the research on measuring and developing the creativity of college students, especially of engineering college students. This study was done in the class of imaginative design engineering which was a creativity training program integrated with engineering majors, including idea generation skills, creative problem solving, patent applications, design, manufacturing and marketing. Participants in this program were 75 freshman strudetns in engineering college. The achievements in this program were measured by the figural form of TTCT(Torrance Tests of Creative Thinking), as well as MBTI(Myers-Briggs Type Indicator). The results are as follows. First, TTCT scores of the participants in imaginetive design engineering increased significantly. Second, type indicator scores of MBTI varied significantly, to the directions of extrovert, feeling, and perception. Therefore, according to the results of this study, we can conclude the imaginative design engineering class had significant positive effects on the creativity of the engineering students.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.5-5
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• 2019

DMZ는 살아있는 생물다양성의 보고로 지난 60여년동안 자연적으로 재생이 일어나고 환경적인 강제 보존 영향으로 높은 생태학적인 가치가 유지되고 있으며, 최근에는 남북교류에 대한 활발한 의지로 DMZ생태자원의 남북공동활용 방안에 대한 이슈가 급부상하고 있다. 이에 본 연구진은 3년전부터 DMZ에서 자생하는 식물에 대한 조사를 진행하여 총 200여종 이상의 자생식물의 표본과 추출물들을 보유하고 있으며, 이 추출물들을 활용 in vitro 와 in vivo 평가를 통해 비임상 평가에서 유효한 효과를 나타내는 후보물질들을 다수 찾아낼 수 있었다. 그 중 조팝나무(Spiraea prunifolia var. simpliciflora)는 쌍떡잎식물 장미과에 속하는 낙엽활엽관목으로 동북아시아 지역에 널리 분포되며 우리나라에서는 중부지방에 주로 서식한다고 알려져 있다. 예로부터 해열 및 소염, 신경통완화 치료등에 이용해왔다고 알려져 있으며 그 속에는 다양한 terpenoids, flavonoid 및 phenolic 화합물이 다량 함유되어 있다고 알려져 있다. 본 연구에서는 조팝나무 추출물을 이용하여 전구지방세포에서의 지방세포분화 억제 및 관련 유전자들의 활성을 확인한 후 고지방식이로 유도된 high-fat diet mouse model을 이용하여 체지방 감소 및 내장지방감소, 간 조직내의 지방량 감소등을 확인하였으며, 혈액분석을 통해 총콜레스테롤과 고중성지방등 동맥경화와 심혈관계 질환을 유도시킬수 있는 지표들에서 억제 활성도 확인하였다. 특히 내장 지방의 경우는 Micro-CT를 통해 정밀한 분석을 진행하였고, 체지방뿐만 아니라 전체 체중감소도 나타나는 것을 확인하였다. 현재 실험을 통해 적출된 간 조직과 지방조직을 이용하여 항 비만 활성의 작용기전을 지속적으로 확인하고 있으며, 이 결과는 국제적인 연구저널에 보고되어 향후 체지방 감소 또는 항 비만 치료제로 개발되는 비임상 연구자료로 활용될 계획이다. 이미 조팝나무에 대한 연구결과는 특허로 출원이 완료되어 PCT출원까지 진행중에 있으며 개별인정형 건강기능식품 개발 기업에 기술이전이 될 예정이다. 또한 원활한 원료 수급을 위해 기초단체 소속 농업기술센터와 원료 재배 및 대량 수급에 관한 논의를 마친 상태로 접경지역 근처 농가소득 증대로도 이어지는 제품화 사례이기도 하다. 이는 접경지역에서 자생하는 원료의 활성을 과학적으로 검증하여 기업과의 연계를 통해 기초시군 단체의 농가 소득과도 연계한 우수한 제품개발 사례로 향후에도 이와 같은 연구성과가 지속적으로 도출되기를 기대해본다.

• 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.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1089-1121
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• 2017

'Technological convergence' is the recent innovation trend which facilitates to solve social crux as well as to generate new industries. Korean government research institutes (GRIs) have taken a pivotal role for economic growth which capitalized on technology-oriented strategies. Recently, the policy interests on the transition of their role and mission towards multidisciplinary research organization is increasingly shed lights. This study regards the collaborative activities as one of the key success factors in the multidisciplinary research. In this sense, this study sets research purposes as follows: First, we intend to define a concept and to confine a scope of multidisciplinary research from the view point of R&D purposes and problem-solving process. Second, we categorize the collaboration and the relevant performances which reflect the characteristics of the multidisciplinary research. Third, we analyze the characteristics of collaborative activities and the effects of strength on the research performances. To this end, this study conducted a survey of 104 research project directors, which have experienced at least one of two types of multidisciplinary research projects through National R&D project or NST (National Research Council of Science & Technology) convergence research project. Then, we conducted regression analysis by utilizing the survey results in order to verify the relation between the collaborative activities and the performances. As results of analyses, first, the diversification of collaboration partners was a salient factor in the process of knowledge creation. Second, collective works among the researchers in similar area and domain enhanced mission-oriented technology development projects such as patent creation or technology transfer. Third, we verified that the diversity of created knowledge and the degree of relation continuity between researchers increased in the condition of guaranteeing individual researcher's independence and autonomy as well as sharing various technological capabilities. These results provide the future policy directions related to the methods to measure the collaboration and performance analysis for multidisciplinary research.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.101-124
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• 2018

Recently, most of the technologies have been developed in various forms through the advancement of single technology or interaction with other technologies. Particularly, these technologies have the characteristic of the convergence caused by the interaction between two or more techniques. In addition, efforts in responding to technological changes by advance are continuously increasing through forecasting promising convergence technologies that will emerge in the near future. According to this phenomenon, many researchers are attempting to perform various analyses about forecasting promising convergence technologies. A convergence technology has characteristics of various technologies according to the principle of generation. Therefore, forecasting promising convergence technologies is much more difficult than forecasting general technologies with high growth potential. Nevertheless, some achievements have been confirmed in an attempt to forecasting promising technologies using big data analysis and social network analysis. Studies of convergence technology through data analysis are actively conducted with the theme of discovering new convergence technologies and analyzing their trends. According that, information about new convergence technologies is being provided more abundantly than in the past. However, existing methods in analyzing convergence technology have some limitations. Firstly, most studies deal with convergence technology analyze data through predefined technology classifications. The technologies appearing recently tend to have characteristics of convergence and thus consist of technologies from various fields. In other words, the new convergence technologies may not belong to the defined classification. Therefore, the existing method does not properly reflect the dynamic change of the convergence phenomenon. Secondly, in order to forecast the promising convergence technologies, most of the existing analysis method use the general purpose indicators in process. This method does not fully utilize the specificity of convergence phenomenon. The new convergence technology is highly dependent on the existing technology, which is the origin of that technology. Based on that, it can grow into the independent field or disappear rapidly, according to the change of the dependent technology. In the existing analysis, the potential growth of convergence technology is judged through the traditional indicators designed from the general purpose. However, these indicators do not reflect the principle of convergence. In other words, these indicators do not reflect the characteristics of convergence technology, which brings the meaning of new technologies emerge through two or more mature technologies and grown technologies affect the creation of another technology. Thirdly, previous studies do not provide objective methods for evaluating the accuracy of models in forecasting promising convergence technologies. In the studies of convergence technology, the subject of forecasting promising technologies was relatively insufficient due to the complexity of the field. Therefore, it is difficult to find a method to evaluate the accuracy of the model that forecasting promising convergence technologies. In order to activate the field of forecasting promising convergence technology, it is important to establish a method for objectively verifying and evaluating the accuracy of the model proposed by each study. To overcome these limitations, we propose a new method for analysis of convergence technologies. First of all, through topic modeling, we derive a new technology classification in terms of text content. It reflects the dynamic change of the actual technology market, not the existing fixed classification standard. In addition, we identify the influence relationships between technologies through the topic correspondence weights of each document, and structuralize them into a network. In addition, we devise a centrality indicator (PGC, potential growth centrality) to forecast the future growth of technology by utilizing the centrality information of each technology. It reflects the convergence characteristics of each technology, according to technology maturity and interdependence between technologies. Along with this, we propose a method to evaluate the accuracy of forecasting model by measuring the growth rate of promising technology. It is based on the variation of potential growth centrality by period. In this paper, we conduct experiments with 13,477 patent documents dealing with technical contents to evaluate the performance and practical applicability of the proposed method. As a result, it is confirmed that the forecast model based on a centrality indicator of the proposed method has a maximum forecast accuracy of about 2.88 times higher than the accuracy of the forecast model based on the currently used network indicators.