• 디지털산업정보학회논문지
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• 제5권3호
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• pp.69-75
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• 2009

In this paper, we proposed CPLD low power algorithm using reduce glitch power consumption. Proposed algorithm generated a feasible cluster by circuit partition considering the CLB condition within CPLD. Glitch removal process using delay buffer insertion method for feasible cluster. Also, glitch removal process using same method between feasible clusters. The proposed method is examined by using benchmarks in SIS, it compared power consumption to a CLB-based CPLD low power technology mapping algorithm for trade-off and a low power circuit design using selective glitch removal method. The experiments results show reduction in the power consumption by 15% comparing with that of and 6% comparing with that of.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2002년도 제21회 하계학술발표회 논문집
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• pp.238-256
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• 2002

Competitiveness of a nation can be explained by the concept of national innovation systems(NIS). As components of NIS, industry clusters become the issue in analysing innovative activity of an economy. Innovative clusters can be identified by the innovation survey or other economic activity data. Input-output Table was used widely as a tool for quantitative analysis, This paper classifies seven clusters in Korean industry based on inter-industries trade of intermediary goods and services, Maximizing procedure method is used in analysing input-output table. Identified clusters are Textiles/chemicals, Construction/Material, Instrument/Equipment, Automobile, Services, Energy, and Agriculture/Food cluster, Among these clusters, some different characteristics in R&D portfolios are detected. R&D investment characteristics of each cluster give us significant implications in understanding innovative dynamics of Korean industry.

• 디지털융복합연구
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• 제17권2호
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• pp.101-111
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• 2019

냉동 냉장창고의 집적단지인 '콜드체인 클러스터' 구축이 물류업계의 현안으로 급부상하고 있다. 인천항만공사는 한국가스공사와 협력하여 송도 LNG 인수기지에서 발생하는 냉열 에너지를 이용한 냉동 냉장 클러스터를 구축하기 위한 사업을 진행 중에 있다. 본 연구에서는 CFPR 방법론을 활용하여 냉동 냉장 클러스터 활성화 방안을 제시하는 것을 연구의 목적으로 한다. 분석결과, 상위요인에서는 안정성과 수익성 요인이 0.281로 가장 중요시 되는 요인으로 파악되었다. 세부요인으로는 지속가능한 물동량 확보가 가장 높게 나타났고, 임대료 수준, LNG 냉열 활용기술의 지속 가능성과 일반 냉동 냉장창고와의 경쟁, 시설 중복투자 배제 등의 순으로 중요도가 평가 되었다. 향후 연구에서는 활성화 요인을 활용하여 국내 지역별 냉동냉장클러스터를 평가할 필요가 있다.

• 한국관광식음료학회지:관광식음료경영연구
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• 제17권1호
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• pp.41-67
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• 2006

The study is aimed to analyze the influence of FTA(Free Trade Agreement) between Korea and Japan on tourism and to suggest ways to increase tourists exchange between them by considering countermeasures of Korea's tourism based on the analysis and deriving political significance. The results of the study showed that the expected effects of FTA between Korea and Japan on tourism would overall be positive. There would be increases in employment and a higher rate of foreign-exchange earning, which plays a critical role in the cash flow. Therefore the government is required to prepare for several political measures as follows. First, ways to promote investment in tourism have to be established in a systematic way for FTA. Second, restructuring of tourism has to be considered seriously for tourism to be a high value-added industry after FTA. Third, the tourism information industry needs to be included in the tourism promotion act to promote e-tourism using information technology. In addition to this, an expansive cluster strategy needs to be developed, which relates tourism to other industries like culture and movies and to find ways to re-locate and re-educate manpower currently engaged in the tourism industry. Though the study investigated the influence of FTA on tourism through a practical analysis, it was restricted only to Korea. So the influence of FTA between Korea and Japan on the tourism of Japan should be included in further study. Furthermore, in subsequent studies the CGE(Computable General Equilibrium) model will be applied for objective analysis of the effects. Or measuring the ripple effect with multinational inter-industry relation table will be made for the study to make practical contributions to the development of government policy.

• 한국컴퓨터정보학회논문지
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• 제10권2호
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• pp.49-57
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• 2005

본 논문은 상관관계(trade-off)에 의한 CLB구조의 CPLD 저전력 기술 매핑 알고리즘을 제안하였다. 제안한 저전력 기술 매핑 알고리즘은 주어진 불린 네트워크를 DAG로 구성하여 소모전력 계산을 위한 TD(Transition Density) 계산 단계와 매핑 가능 클러스터 생성, CLB 패킹의 단계로 구성하였다. TD 계산 단계는 DAG를 구성하고 있는 각 노드들에 대한 스위칭 동작을 계산하여 전체 소모 전력을 계산하는 단계이다. 매핑 가능 클러스터 생성 단계는 주어진 CPLD의 CLB에 대한 입출력의 수와 OR 텀수를 고려하여 매핑 가능 클러스터를 생성하는 단계이다. 매핑 가능 클러스터를 생성하기 위하여 공통 노드 클러스터 병합과 노드 분할, 노드 복제의 방법을 이용한다. 제안된 알고리즘을 SIS에서 제공되는 벤치마크에 적용하여 실험한 결과 OR 텀수를 5로 했을 경우 기존의 CPLD 기술 매핑 알고리즘인 TEMPLA에 비해 30.73$\%$의 소모전력이 감소되었으며, PLAmap에 비해 17.11$\%$감소되었다.

• 무역학회지
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• 제46권5호
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• pp.65-81
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• 2021

The technological development in the era of the 4th industrial revolution is changing the paradigm of various industries. Various technologies such as big data, cloud, artificial intelligence, virtual reality, and the Internet of Things are used, creating synergy effects with existing industries, creating radical development and value creation. Among them, the logistics sector has been greatly influenced by quantitative data from the past and has been continuously accumulating and managing data, so it is highly likely to be linked with big data analysis and has a high utilization effect. The modern advanced technology has developed together with the data mining technology to discover hidden patterns and new correlations in such big data, and through this, meaningful results are being derived. Therefore, data mining occupies an important part in big data analysis, and this study tried to analyze data mining techniques that can contribute to the logistics field and common logistics using these data mining technologies. Therefore, by using the AHP technique, it was attempted to derive priorities for each type of efficient data mining for logisticalization, and R program and R Studio were used as tools to analyze this. Criteria of AHP method set association analysis, cluster analysis, decision tree method, artificial neural network method, web mining, and opinion mining. For the alternatives, common transport and delivery, common logistics center, common logistics information system, and common logistics partnership were set as factors.

• Asia pacific journal of information systems
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• 제18권3호
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• pp.45-65
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• 2008

The rapid growth of the Internet has increased the amount of transmission of personally identifiable information. At the same time, with new Internet related technologies, organizations are trying to collect and access more personal information than before, which in turn makes individuals concern more about their information privacy. For their successful businesses, organizations have tried to alleviate these concerns in two ways: (1) by offering privacy policies that promise certain level of privacy protection; (2) by offering benefits such as financial gains or convenience. In this paper, we interpret these actions in the context of the information processing theory of motivation. This paper follows Hann et al.(2007)'s methods to analyze Internet users privacy concerns in Korea and tries to compare the findings. Our research objectives are as follows: First, we analyze privacy concern mitigation strategies in the framework of the expectancy theory of motivation. Subsequently, we show how the expectancy theory based framework is linked o the conjoint analysis. We empirically validate the predictions that the means to mitigate privacy concerns are associated with positive valences resulting in an increase in motivational score. In order to accommodate real-life contexts, we investigate these means in trade-off situation, where an organization may only be able to offer partially complete privacy protection and/or promotions and/or convenience, While privacy protection (secondary use, improper access) are associated with positive valences, we also find that financial gains can significantly increase the individuals' motivational score of a website in Korea. One important implication of this empirical analysis is that organizations may possess means to actively manage the privacy concerns of Internet users. Our findings show that privacy policies are valued by users in Korea just as in the US or Singapore. Hence, organizations can capitalize on this, by stating their privacy policy more prominently. Also organizations would better think of strategies or means that may increase online users' willingness to provide personal information. Since financial incentives also significantly increase the individuals' motivational score of website participation, we can quantify the value of website privacy protection in terms of monetary gains. We find that Korean Internet users value the total privacy protection (protection against errors, improper access, and secondary use of personal information) as worthy as KW 25,550, which is about US 28. Having done this conjoint analysis, we next adopt cluster analysis methodology. We identify two distinct segments of Korea's internet users-privacy guardians and information sellers, and convenience seekers. The immediate implication of our study is that firms with online presence must differentiate their services to serve these distinct segments to best meet the needs of segments with differing trade-offs between money and privacy concerns. Information sellers are distinguished from privacy guardians by prior experience of information provision, To the extent that businesses cannot observe an individual's prior experience, they must use indirect methods to induce segmentation by self-selection as suggested in classic economics literature of price discrimination, Businesses could use monetary rewards to attract information sellers to provide personal information. One step forward from the societal trends that emphasize the need of legal protection of information privacy, our study wants to encourage organizations and related authorities to have the viewpoints to consider both importance of privacy protection and the necessity of information trade for the growth of e-commerce.

• 기술혁신연구
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• 제12권2호
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• pp.99-126
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• 2004

Japan's economic clusters are characterized by their high level of diversity. In essence, Japanese economic clusters are not limited to single industries; they comprise numerous manufacturing industries and firms which cluster in specific heterogeneous economic zones, vice political boundaries. Japanese manufacturing sectors are showing an increased level of diversity, resulting in the spread of experience and knowledge among clusters, and sustained growth at the point of industrial structural transformation. Japan's Ministry of Education, Culture, Sports, Science and Technology (MEXT) proposed the creation of intellectual clusters for the purpose of promoting research and development(R&D) activities resulting in the stimulation and development of new technologies. The Ministry of Economy Trade and Industry (METI) is also proposing the industrial cluster plan with the aim to promote the local rebirth and revitalization of the Japanese industrial sector. This paper proposes a methodological analysis which will result in the integration of the two policies currently implemented by the Japanese government. If the current policies are not coordinated and integrated, artificial firms and sectors will continue to hamper innovation and discourage competitiveness, which will ultimately result in Japan's loss of economic opportunities within Asia. In the worst case, failure to act on current economic deficiencies illuminated in this paper could cost Japan its position as an Asian economic leader.

• 유통과학연구
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• 제11권4호
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• pp.5-11
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• 2013

Purpose - The aim of this work is to study the reorientation that the export industrial sectors in Costa Rica have experienced during the last 20 years. Research design, data, methodology - The study employs the Cluster Analysis with the export data (20 years of cut-off period) from Costa Rica to the U.S-market. To make the predictions, the technique of the time series was used, with official data (from 2001 to 2010) from the U.S. Department of Commerce and the U.S. International Trade Commission. Results - The Cluster Analysis, show how the economic sectors of traditional products exports of Costa Rica have progressively become in exporters of non-traditional products, meanwhile,the time series confirms that this trend will continue, at least during the next five years. Conclusions - The industry of traditional products exports of Costa Rica (dressmaking, vegetables, coffee, mate, species, etc.) will progressively become in exporters of non- traditional products with a high-tech component (i.e., mechanical equipment and devices, electronic devices and medical equipment),as a consequence of the Chinese (Costa Rica's main competitor) economy's presence in the Organization for Economic Co-operation and Development (OCDE). This fact has enabled the potential improvement of Costa Rica's international competitiveness in the U.S. market.

• 한국의류산업학회지
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• 제18권5호
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• pp.606-616
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• 2016

We intend an empirical assessment of examining the differences in the appearance management behaviors and demographic variables among groups classified by the clothing consumption values. The questionnaires are administered to 493 female and male adults above 20 years old in Seoul, Gyeonggi-do, Daegu and Kyungpook regions. For analysis of data from 478 respondents, descriptive statistics, cluster analysis, Cronbach's ${\alpha}$, ANOVA, Duncan test and ${\chi}^2$ test were applied. We show the following results. First, Factor analyses were employed for the clothing consumption values and appearance management behaviors. Six factors were for clothing consumption values: Individuality, appearance attractive, social, functional, conditional and fashion clothing consumption value. Four factors were for appearance management behaviors: weight training, skin care, hair care, make-up and clothing selection. According to clothing consumption values, four groups were classified: the passive, functional, social, and active group. We did cluster analysis to the appearance management behaviors of weight training, skin care, hair care, make-up and clothing selection. Second, the social and active groups were more interested in individuality, appearance attractive, social, functional, conditional and fashion clothing value. And they were also more involved in appearance management behaviors. Third, among the demographic variables, the single and female in 20s and 30s with higher level of education belonged to the active group. In this contribution, we find significant differences in the appearance management behavior and demographic variables classified by the clothing consumption values.