• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.4
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• pp.112-121
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• 2008

The study aimed to extract development potential on clustered settlements by deciding priority on extracting standardization points taking pure development indexes and future development conditions into account targeting clustered settlements released from green-belt in Gijang-gun, Busan. The study selected individual indexes on 4 areas on aspects of natural, physical, development, approach for objective and scientific analysis through Busan's GIS Data. The results showed that large clustered settlements near shores are areas with high development index value and evaluated as areas with high development potential, and smaller clustered settlements located inland near the west of National Road 14 showed that individual index values were lower thus evaluated as areas with lower development potential.

• Proceedings of the Technology Innovation Conference
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• 1996.12a
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• pp.325-340
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• 1996

산업성장 잠재력과 기술개발과의 관계는 기술개발을 통해 산업이 어떻게 성장될 수 있는가를 보여주는 관계를 말한다. 첫째는, 산업의 출현(Emergence)이다. 이는 기술개발에 의해 새로운 산업이 발달되는 경우를 말한다. Microcomputer의 출현이 그 대표적 예이다. 둘째, 산업의 재생(Revitalization) 이다. 하향곡선을 그리는 산업이 기술혁신을 통해 새로운 마켓을 개척하여 다시 활기를 띄게 되는 경우이다. 전자 장난감이 장난감 시장의 활성화를 가져온 경우가 이에 속한다. 셋째, 산업의 대체(Substitution)현상은 기술개발에 의해 기존의 산업이 새로운 산업으로 대체되는 경우를 말한다. 진공관 이 트랜지스터를 대체된 경우나 LP가 Compact Disc등으로 대체된 경우도 이에 속한다. 마지막으로, 산업의 퇴보(Decline)는 기술의 개발이 오히려 산업자체의 퇴보나 침체를 가져오는 경우를 말한다. 마모에 저항력이 강한 고무가 타이어산업의 침체를 간져온 경우가 이에 속한다. 본 논문은 과거 10여 년간의 한국의 각종 기업의 기술개발 사례를 통해 이러한 4가지 패턴의 산업성장잠재력에 그러한 기술개발이 어떠한 역할을 하여 왔는가를 규명하고, 한국기업의 기술개발 현황파악을 통한 당면한 문제점을 분석한다. 아울러 한국의 기업들이 한국적 경제 및 경영 환경하에서 어떠한 기술개발과 혁신을 통해 산업성장 잠재력에 기여할 수 있는가를 토론한다.

• Informatization Policy
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• v.27 no.2
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• pp.20-39
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• 2020

This paper introduces the Cryptocurrency Market Potential Index (CMPI) in order to measure the potential of the blockchain-backed cryptocurrency. Adopting the Distributed Ledger Technology (DLT) system as a conceptual framework, the whole process from development to implementation and adoption of blockchain-backed cryptocurrency are examined. This paper selects 30 variables and employs factor analysis for multivariate analysis to produce the CMPI for a total of 213 countries. The results show that although cryptocurrency is decentralized, its development and usage might still be very centralized in Europe, North America, hotspots in the Asia-Pacific, Middle East, and CIS regions. This result also highlights how important development and implementation are before adoption so that consequent financial transactions can take place.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1306-1309
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• 2012

도시재생종합정보시스템에서는 도시의 쇠퇴정도를 파악하고 그에 따른 도시재생사업을 수행하는데 있어 의사결정 지원과 관련정보 등을 제공해주고 있다. 본 연구에서는 도시재생 사업을 진행시키고자 했을 때, 쇠퇴 도시가 가지고 있는 도시잠재력을 평가하여 효율적인 도시재생 사업의 의사결정을 지원해줄 수 있는 도시잠재력 지표를 개발하였다. 또한, 도시 잠재력 진단을 위한 정보 프로세스 및 구현방안을 제시하였고 그에 따른 시스템을 구현하여 도시재생종합정보시스템에 연동하였다. 제시된 도시잠재력을 진단을 통하여 효과적인 도시재생에 필요한 사업 우선순위등에 활용을 기대할 수 있다.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.455-456
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• 2014

대학의 원격교육연수원에서 성공 가능한 교과목을 개발하기 위한 방안을 제시하고자 한다. 학습자의 요구변화를 추적하고, 교수자의 역량를 기반으로 하여 교과목을 개설할 경우 성공 잠재력을 측정하였다. 이를 토대로 교과목의 우선순위를 정하였고, 잠재력 분포도를 통해 성공과목 및 전략과목을 선정하였다.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.37-49
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• 2015

To develop the contents making profit, we propose the program operation methods that can apply the needs of students and the demand of the times, and consider the capacity of the operating agency overall. First, we suggest the distance training motivation, the effective content type, appropriate interaction ratio, the effective teaching and learning methods and the assessment methods. Second, we suggest the development strategy of educational contents, assess quantitative the demand of students and the will of teacher overall, measure the potential success. Third by applying the strategies in the educational field, we product the 12 major development field. These fields are divided into categories A and B, category A is the very high success field and category B is the high potential success field. By applying the proposed strategy, You will select the most suitable contents here and now.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2837-2843
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• 2015

This study firstly finds the factors for positive development of urban regeneration cases from the point of view of a public sector, and then analyzes the development potential of Urban Regeneration Projects in Gyeonggi-do through the methodology able to measure the development potential objectively. The process to analyze the development potential is as follows. First, after finding indices through literature review, indices with redundancy and similarity are drawn by the discussion with relative experts. Second, four clusters and twelve indices are drawn by the verification of experts. Finally, criticality analysis of indices are analyzed by ANP. According to the result to apply criticality analysis of indices to urban regeneration cases, factors related to residential environment and local economy influence development potential more than those related to infrastructures and land-use.

• Korea Petroleum Association Journal
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• no.6 s.136
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• pp.36-38
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• 1992

• 어항어장
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• s.58
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• pp.25-28
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• 2002

• Land and Housing Review
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• v.2 no.4
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• pp.539-552
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• 2011

This research thesis measured potential housing development of 250 'subway station areas' around Seoul Metropolitain Region, with the use of added weighting and data of each indicator based on AHP. The analysis was conducted on the ranking of the development of 'subway station areas' on the basis of measurement results of potential housing development along with the analysis on characteristics of 'subway station areas' in daily life zone. Cluster analysis-oriented analytic measurement results suggested that 'subway station areas' in Seoul Metropolitain Region can be grouped into five clusters: Cluster 1 and Cluster 2 were populated with 'reservation areas' for outside and inside urban development, respectively scoring low all in housing development pressure and capacity. Cluster 3 was populated with 'development maintenance areas', scoring low in housing development pressure but high all in housing development capacity. Cluster 4 was populated with 'development facilitation areas', scored high all in housing development pressure and capacity. Cluster 5 was populated with 'development control areas' scoring high in housing development pressure but low in housing development capacity.