• Journal of Agricultural Extension & Community Development
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• v.19 no.4
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• pp.1137-1170
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• 2012

The study aims to identify the typology of urban-rural migration and its implications. Factors analysis showed that the motivation of migration were economic, idyllic, family, escape of urban life, and farm succession. The most important variable was economic motivation. Cluster analysis also showed that enterprise seeker, small new business seeker, idyllic seeker, and farm successor, This study will be helpful for policy makers to understand urban-rural migration while practical and policy implications were discussed.

• Journal of Digital Contents Society
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• v.9 no.4
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• pp.617-624
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• 2008

Global economy is moving to digital economy accelerated by the rapid development of ICT (information and communication technology). However, the progress in e-business in developing countries has been slow due to the lack of experience, technology, and basic infra structure. One way to solve this problem is to provide them with customized e-business solution, training, and contents service. In this paper, we design an E-business Training Supporting System (E-TSS) for developing countries. It consists of a simple business blog to support business web page and a customized e-business solution. The E-TSS is customized for individual country. This customization becomes more effective utilizing an intelligent agent based upon recognizing unique characteristics such as language and time. The E-TSS is implemented and utilized by APEC (Asia-Pacific Economic Cooperation) Women's e-Biz Center.

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.193-210
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• 2007

In order for a classification system to be useful in every day business environments, it has to reflect peculiar characteristics of enterprises and organizations. By automating the generation process of classification, the overall operation of classification system becomes effective and efficient. However, in order for it to be really useful, human input and interventions are needed from the very beginning phase of the classification generation. This paper proposes an user-guided classification generation algorithm, in which the user inputs a specific level of the classification that she/he wants. Also we propose and implement manipulation operators to tailor the initial classification into the shape that user wants.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06c
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• pp.11-14
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• 2008

웹 2.0 환경에서 인터넷 사용자가 생성하는 정보는 폭발적인 규모로 증가하고 있다. 또한 UCC 등의 사용자 참여 서비스 및 VOD, IPTV 등의 대용량 서비스가 본격화 되고 있다. 그러나 이러한 데이타 전송량 증가 속도를 네트워크 전송 설비의 증설이 따라가지 못하고 있는 실정이다. 이를 극복하기 위해 P2P 기술을 이용하고 있지만 대부분의 P2P 기술들은 실제 물리적인 네트워크 상태를 고려하지 않고 응용 계층만을 고려하기 때문에 데이타 전송의 비효율이 발생하게 된다. 게다가 이러한 비효율을 해결하기 위한 방안들은 분산형 Pure P2P 시스템이나 구조적 P2P 시스템에 대한 연구가 대부분이고 비구조적 중앙 집중형에 대한 연구는 없는 실정이다. 본 논문에서는 물리적인 네트워크 정보와 그래프 클러스터링 기법을 적용한 계층적 클러스터링 방법을 이용하여 실제 기업에서 운영하는 중앙 집중형 P2P 시스템에서 성능을 향상 시킬 수 있는 기법을 제안한다. 그리고 이를 통해 기존의 기법들이 가지고 있는 과도한 메시지 교환, 고정된 랜드마크의 유지 등의 문제점을 보완하여 대규모 데이타의 효율적인 전송을 가능케 하는 실제적인 P2P 환경에 적합한 오버레이 네트워크 모듈을 구현하였다.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.445-452
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• 2018

In a world where everything in life is being digitized, the amount of data is increasing exponentially. These data are processed into new data through collection and analysis. New data is used for a variety of purposes in hospitals, finance, and businesses. However, since existing data contains sensitive information of individuals, there is a fear of personal privacy exposure during collection and analysis. As a solution, there is privacy-preserving data mining (PPDM) technology. PPDM is a method of extracting useful information from data while preserving privacy. In this paper, we investigate PPDM and analyze various measures for evaluating the privacy and utility of data.

• JOURNAL OF ELECTRICAL WORLD
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• no.1 s.145
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• pp.22-28
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• 1989

우리나라의 전기요금제도는 각종 정책적 요인을 반영하면서 형성되어 왔으므로 근본적인 가격결정원칙이 결여되고 있으며 가격결정의 일반원칙에 비추어 볼때 여러 문제점들이 노출되고 있다. 본호에서는 현행 전기요금구조의 개선방안으로서 주택용 전기요금의 누진구조 완화, 업무용 전기요금의 1, 2종 구분폐지, 산업용 최대부하요금의 시간대 구분변경 및 요금차등률의 적정화, 그리고 기본요금 비중의 조정을 제안하고 있다. 또한, 전기사업의 새로운 여건변화에 부합하는 장기적인 전기요금 정책방향을 다음과 같이 제시하고 있다. 첫째, 에너지 경합시대에 대응하는 시장경쟁형 전기가격 결정원칙으로서 한계비용 가격원칙의 채택이 필요하다. 둘째, 수요관리형 전기가격 정책방안으로서 최대부하 요금제도의 확대적용, 소비자 선택형 요금제도의 실시, 그리고 전전화 수요가요금제도의 도입에 과한 정책검토가 요망된다. 셋째, 전기요금수준적정화를 위해서는 정책적요인에 의한 전기가격 왜곡요인 배제, 독점기업으로서의 전기사업자의 비효율성 해소, 투자정보율 규제에 대신하는 전기사업자의 합리화 인센티브 규제, 경영부실에 기인하는 비용증대 부분의 불인정, 이시점간설비투자비의 적정배분등을 통하여 전기요금수준인하를 모색하여야겠다. 끝으로 전기요금 개정시 이해당사자들의 견해를 공개적으로 반영시킬 수 있도록 전기가격 조정심의기구와 같은 제도적 장치이 설치가 요망된다.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.117-124
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• 2010

Recently, according to development of wired and wireless networks, contents production of user-defined changes a environment producing contents that it get out of manufactured contents offered by mobile telecommunication company. This paper propose a system proposing and registering a contents service provider of mobile telecommunication company for user-defined mobile contents production and transmission. We propose a system using web hosting service for user-defined mobile contents production and solution for system and transmission for contents production of a person and enterprises.

• Information and Communications Magazine
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• v.31 no.6
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• pp.64-68
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• 2014

본고에서는 수자원관리의 새로운 패러다임인 스마트워터그리드에 대한 간략한 소개와 연구단에서 개발되는 기술의 확산을 위한 추진 전략을 알아본다. 스마트워터그리드 연구단은 51개의 참여기업과 303명의 참여 연구원이 크게 3개의 세부로 나뉘어 연구를 진행한다. 1세부는 신도시 수자원 연계활용을 위한 지능형 수자원 확보 기술 개발을, 2세부는 수자원 최적 활용을 위한 지능형 유역물관리 플랫폼 개발을, 3세부에서는 Smart Water Grid 맞춤형 ICT기반물정보 관리 기술 개발을 목표로 하고 있다. 이렇게 개발되는 기술의 확산을 위해 크게 5가지의 전략을 펼치고 있다. 기술실증화 전략인 Pilot-Plant와 Demo-Plant 설계 및 운영, 표준분류체계, 국제표준화 ITU-T FG-SWM, 제7차 세계물포럼, 국제기술협력을 위한 국제컨퍼런스 개최가 연구단의 전략이다. 특히, 스마트워터그리드라는 새로운 패러다임을 국제적인 이슈로 상정하기 위하여 국제표준화 기구인 UN-ITU에 SWM(Smart Water Management) 주제로 FG(Focus Group)을 신설하였다. ITU-T는 전기 통신 분야의 국제기구로서 신기술이 개발될 때부터 기술표준화를 제시하고, 제품의 수출입에 영향력을 미치기에 많은 전기전자통신 업계의 주요 관심분야이기도 하다. SWG연구단에서도 SWM차원에서 SWG기술이 향후 세계시장에서 선진기술들과 비교경쟁력을 갖출 수 있도록 국제표준화를 위한 노력을 기울이고 있다. 또한, 2015년에 개최될 세계 제 7차 물포럼에서 SWG기술을 시연하고, 홍보하는 활동을 통해 대한민국의 우수한 IT기술이 물산업의 중심에서 돋보일 것이라 전망된다.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.143-152
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• 2009

This paper deals with a case which is focused on the policy development connected with IT, and verify its validity to enhance R&D capability for Korean steel industry. Korean steel industry, which is at a turning point from technological catch-up to technological frontier, should go ahead with open R&D system to be able to connect with other steel companies, universities and laboratories for its capability buildup. To meet such a challenge, IT should act a critical part in R&D capability enhancement. In this study we discuss not only IT-related support policies and validity of proposed policies through priority analysis, but also the role of government, company and academia within the framework of Triple Helix.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.1
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• pp.157-175
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• 2022

At this moment, a paradigm shift is taking place across all sectors of society for the transition movements to the digital economy. Various movements are taking place in the global agricultural industry to achieve innovative growth using big data which is a key resource of the 4th industrial revolution. Although the government is making various attempts to promote the use of big data, the movement of the agricultural industry as a key player in the use of big data, is still insufficient. Therefore, in this study, effects of performance expectations, effort expectations, social impact, facilitation conditions, based on the Unified Theory of Acceptance and Use of Technology(UTAUT), and innovation tendencies on the acceptance intention of big data were analyzed using the economic and practical benefits that can be obtained from the use of big data for agricultural-related companies as moderating variables. 333 questionnaires collected from agricultural-related companies were used for empirical analysis. The analysis results using SPSS v22.0 and Process macro v3.4 were found to have a significant positive (+) effect on the intention to accept big data by effort expectations, social impact, facilitation conditions, and innovation tendencies. However, it was found that the effect of performance expectations on acceptance intention was insignificant, with social impact having the greatest influence on acceptance intention and innovation tendency the least. Moderating effects of economic benefit and practical benefit between effort expectation and acceptance intention, moderating effect of practical benefit between social impact and acceptance intention, and moderating effect of economic benefit and practical benefit between facilitation condition and acceptance intention were found to be significant. On the other hand, it was found that economic benefits and practical benefits did not moderate the magnitude of the influence of performance expectations and innovation tendency on acceptance intention. These results suggest the following implications. First, in order to promote the use of big data by companies, the government needs to establish a policy to support the use of big data tailored to companies. Significant results can only be achieved when corporate members form a correct understanding and consensus on the use of big data. Second, it is necessary to establish and implement a platform specialized for agricultural data which can support standardized linkage between diverse agricultural big data, and support for a unified path for data access. Building such a platform will be able to advance the industry by forming an independent cooperative relationship between companies. Finally, the limitations of this study and follow-up tasks are presented.