• Electronics and Telecommunications Trends
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• v.21 no.2 s.98
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• pp.15-25
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• 2006

최근 IT, BT, NT 기술간 융합이 가속화되면서 새로운 형태의 기술과 서비스가 등장하고 있다. 미국, 일본, 유럽 등 선진국은 정부와 기업이 연대하여 기술간 융합을 고부가가치 창출에 필요한 첨단기술로 인식하고 융합기술 개발을 적극적으로 추진하고 있고, 우리 정부도 과학기술부, 산업자원부, 정보통신부를 중심으로 융합기술 발전계획을 수립하고 있다. 융합기술 개발을 통해 미래의 핵심기술을 확보하고, 컨버전스 시대의 조류에 대응하며, 새로운 성장동력을 창출하고, 건강하고 안전한 삶을 실현할 수 있다. 본고에서는 먼저 IT-BT-NT 융합기술의 분류, 특징 및 기대효과를 살펴보고, 산업육성전략 방안을 제시하고자 한다.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.1-20
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• 2016

This case is to analyze the structure of technology convergence with social network analysis. More specifically, the convergence structure among input technologies mediated with products is analyzed with 2-mode social network analysis. Products are identified in project's goal and coded as the Korea Standard Industrial Classification. The input technologies are coded as the National Science Technology Classification. The subjects were 401 R&D projects applied to '2012 Convergence Technology Development Project for Small and Medium Businesses' promoted by Korea Technology & Information Promotion Agency for Small and Medium Enterprises. IT sectors had the structure of a particular input technology connected to many products, BT sectors also had a few input technology connected to many products but most were connected to specific products. Therefore We have realized that each convergence area had different convergence structure. There were the difference of connectivity centrality between input technologies and input technologies mediated with products. For IT sectors, the embedded S/W were the highest in both cases. For BT sectors, functional cosmetic development and fermentation technology were the highest in input technologies but fermentation technology was not the highest in input technologies mediated with products. This case defines the convergence based on the real projects and the use for managing and planing projects. Therefore, this case was to make a tool to analyze and design technology convergence projects.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.197-202
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• 2012

Block Train Services(BTS) are actively studied in many countries for higher productivity and eco-friendly systems of inland freight distribution. However it is difficult for an ordinary student or researcher to approach for understanding and studying BTS because rail transport is operated monopolistically by Korea government and most freight information in each company belongs to its business secret due to the industrial characteristics. For such reasons, the study aimed to develop a BTS simulation model that it supports understanding and strategic decision required for BT operation. To build the result, expert depth-interviews were conducted with analysis of relative references through the domestic representative BT operating company K. The simulator refers to the Busan NewPort-Uiwang section and functionally, it supports scenario generation and analysis on BT operation. It makes a contribution to study a new type's technological application for learning and strategic analysis of BTS.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.844-847
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• 2014

'Healthcare 3.0' paradigm, which comes from the convergence of medical and department of ICT(Information and Communication Technology), meets the government's 'creative economy'. It has emerged as new higher value-added markets and industries, created jobs, and got the 'land of opportunity'. Despite of the global recession, the health care market in the world from 2009 to now has earned a steady growth. The annual growth rate in domestic industrial scale is expected to more than 10% higher based on 153 trillion won in 2010. In particular, combination of health care and ICT, BT(BioTechnology), NT(NanoTtechnology), which is so called 'super-convergence', leap in the health care industry, is expected to open up a new paradigm. In addition, by 2020 all of the health care industry, the IT convergence industries account for the largest proportion, and more than 50,000 of the employment are to be expected. In this study, we survey and analyze problems of medical and IT convergence technology, the future of the medical and health care industry, the demanded healthcare IT staff, finally suggest education plan of human resources required in convergence industry of medical and IT.

• Journal of Digital Convergence
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• v.9 no.3
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• pp.105-116
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• 2011

The innovation is an important element controlling national economic growth and the competitive power reinforcement of the company. The developed nations concentrate interest on upbringing and investment in knowledge intensive industry and advanced technology base industry for national competitive power reinforcement. I support in particular it as Korean representative industry in the case of the advanced technology base industry positively in the government. Though a patent can become the important competition predominance element of the company by such an advanced technology base industry, this and the proof study in the country to be concerned with are the facts that are not enough now. As for the article of the book, what kind of difference there is in importance by IT and BT industry distinction comment on current events value factors of the patent valuation; of the study is aimed. I derived an importance factor among factors shown in the valuation model of the patent valuation organization and an existing precedent study for comparison analysis in the study and used it. In addition, it was analysis hello it utilized AHP technique, and what kind of difference patent value evaluation important factors showed by IT and BT industry distinction. Analysis, Because patent value evaluation important factors showed a difference by industrial distinction, I appeared.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.6 no.1
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• pp.133-158
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• 2011

In 2030s, as we enter in to the era of BT (Bio-Technology) market opening up, technologies in all areas such as IT, data analysis, IC and biochemistry are necessitated. New development in technology will be based on "Convergence", especially between IT and BT. In order to have synergy effects from the convergence, those related industries and universities should be physically inter-related in an appropriate location. Until 2009, 819 industrial clusters where many Korean industries and firms are concentrated have been constructed in Korea. They have had supports from various institutions and facilities. However, few systems designed to assist "intellectual property (IP) service" for technology convergence are found in Korea. Thus, by analyzing current problems and challenges of the Korean industrial clusters, this paper suggests a possible answer to maximize the synergy from technology convergence through organic cooperation among companies in industrial clusters. This paper finds that the Korean industrial clusters need to establish IP service supporting center while suggesting its function and concept on organization structure, and work flow, which help firms to develop IP strategies. In addition, the paper provides a direction for current IP system and policies implemented by the Korean government to be more effective to small-and-medium-sized companies located in the industrial clusters.

• Electronics and Telecommunications Trends
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• v.23 no.2 s.110
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• pp.119-129
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• 2008

최근 로봇산업은 첨단기술 분야의 복합체로 기술혁신성과 성장잠재력이 유망한 신산업으로 각광받고 있으며, IT, BT 및 NT 관련 요소들이 융합되어 구현되는 기술로써 파급효과가 크다고 할 수 있다. 또한, 사회구조와 생활패턴의 변화로 인해 생명 연장과 병 치료 및 건강에 대한 사회적 관심이 커지고 고령화에 따른 노인인구의 증가로 인해 의료분야에 대한 관심이 증대되고 있는 실정이다. 이러한 상황에서 보다 더 나은 의료서비스를 제공함으로써 삶의 질을 향상시키고 국민 복지 향상의 핵심적 역할을 수행할 수 있는 분야는 의료용 로봇산업이다. 따라서 본 연구에서는 최근 정부에서 10대 신성장동력으로 관심을 가지고 있는 로봇산업과 의료기술을 접목한 의료용 로봇에 대한 시장현황과 전망을 통해 의료용 로봇시장의 활성화는 물론 의료시장의 확대방안을 마련하고자 하였다. 또한, 로봇산업에서 전문 서비스용 로봇으로써 의료용 로봇이 차지하는 위상과 기술 현황 및 적용사례를 통해 향후 차세대 신성장 동력으로써의 비전을 살펴보고 의료용 로봇 기술개발을 위한 유용한 시사점을 제시하고자 하였다.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.65-100
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• 2014

We tried to find out the technological innovation properties of the National Research and Development Projects (NRDPs) through scientometric analysis of patent data generated by the NRDPs. The distribution of technology groups in patent data shows that NRDPs are highly focused on the Information Technology(IT) group. The Relative Cites Index(RCI) analysis implies that the Biotechnology(BT) group will emerge in the future. The Relative Family Indices(RFIs) are high among the high technological impact groups such as BT and IT. We defined new measures related with technological convergence and collaborativenessopenness relations among R&D agents. Using network analysis techniques, we analysed the absorption-derivation relations among technology groups and the opennesscollaborativeness relations among R&D agents. Recently, both the share of hetero-plural technology groups and the collaboration among different R&D agents are increasing.

• Journal of the Ergonomics Society of Korea
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• v.31 no.2
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• pp.271-279
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• 2012

Objective: This study classified three different emotional states(boredom, pain, and surprise) using physiological signals. Background: Emotion recognition studies have tried to recognize human emotion by using physiological signals. It is important for emotion recognition to apply on human-computer interaction system for emotion detection. Method: 122 college students participated in this experiment. Three different emotional stimuli were presented to participants and physiological signals, i.e., EDA(Electrodermal Activity), SKT(Skin Temperature), PPG(Photoplethysmogram), and ECG (Electrocardiogram) were measured for 1 minute as baseline and for 1~1.5 minutes during emotional state. The obtained signals were analyzed for 30 seconds from the baseline and the emotional state and 27 features were extracted from these signals. Statistical analysis for emotion classification were done by DFA(discriminant function analysis) (SPSS 15.0) by using the difference values subtracting baseline values from the emotional state. Results: The result showed that physiological responses during emotional states were significantly differed as compared to during baseline. Also, an accuracy rate of emotion classification was 84.7%. Conclusion: Our study have identified that emotions were classified by various physiological signals. However, future study is needed to obtain additional signals from other modalities such as facial expression, face temperature, or voice to improve classification rate and to examine the stability and reliability of this result compare with accuracy of emotion classification using other algorithms. Application: This could help emotion recognition studies lead to better chance to recognize various human emotions by using physiological signals as well as is able to be applied on human-computer interaction system for emotion recognition. Also, it can be useful in developing an emotion theory, or profiling emotion-specific physiological responses as well as establishing the basis for emotion recognition system in human-computer interaction.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.503-512
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• 2011

Recently in HCI research, emotion recognition is one of the core processes to implement emotional intelligence. There are many studies using bio signals in order to recognize human emotions, but it has been done merely for the basic emotions and very few exists for the other emotions. The purpose of present study is to confirm the difference of autonomic nervous system (ANS) response in three emotions (boredom, pain, and surprise). There were totally 217 of participants (male 96, female 121), we presented audio-visual stimulus to induce boredom and surprise, and pressure by using the sphygmomanometer for pain. During presented emotional stimuli, we measured electrodermal activity (EDA), skin temperature (SKT), electrocardiac activity (ECG) and photoplethysmography (PPG), besides; we required them to classify their present emotion and its intensity according to the emotion assessment scale. As the results of emotional stimulus evaluation, emotional stimulus which we used was shown to mean 92.5% of relevance and 5.43 of efficiency; this inferred that each emotional stimulus caused its own emotion quite effectively. When we analyzed the results of the ANS response which had been measured, we ascertained the significant difference between the baseline and emotional state on skin conductance response, SKT, heart rate, low frequency and blood volume pulse amplitude. In addition, the ANS response caused by each emotion had significant differences among the emotions. These results can probably be able to use to extend the emotion theory and develop the algorithm in recognition of three kinds of emotions (boredom, surprise, and pain) by response measurement indicators and be used to make applications for differentiating various human emotions in computer system.