• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.46-51
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• 2015

The explosive growth of data and the rapidly changing technical social evolution new analysis paradigm for predicting and reacting the future the past and present ig data. Prescriptive analysis has a fundamental difference because can support specific behaviors and results according to user's goals with defin researchers establish judgments and activities achiev the goals. However research methods not widely implemented and even the terminology, Prescriptive analysis, is still unfamiliar. This paper thus propose an infrastructure in the prescriptive analysis field with key considerations for enhancing capability of researchers through a case study based on InSciTe Advisory developed with scientific big data. InSciTe Advisory system s developed in 2013, and offers a prescriptive analytics report which contains various As-Is analysis results and To-Be analysis results 5W1H methodology. InSciTe Advisory therefore shows possibility strategy aims to reach a target role model group. Through the availability and reliability of the measurement model the evaluation results obtained relative advantage of 118.8% compared to Elsevier SciVal.

• Journal of Korea Technology Innovation Society
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• v.22 no.2
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• pp.207-219
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• 2019

The international trends in activities of government R&D performance measurement is evolving into evidence-based approach to support the verification of objective policy implementation. The European Commission has been implementing KETs (Key Enabling Technologies) policy that incubates nanotech based emerging technologies to support the fourth industrial revolution/revitalization of high-tech manufacturing, and resulting innovations are quantified by KETs Observatory project. The European Commission also built Innovation Radar system that monitors potentially innovative projects within FP7 and Horizon2020 by data analysis. The United States is also upgrading its Federal RePORTER system to quantitatively monitor federal R&D investments with outcomes (including nanotechnology). In the field of Korean nanotechnology, basic statistical data by analyzing NTIS (National Science & Technology Information Service) information is applied in policy field. Developing innovation measurement methodology beyond basic statistical analysis is an international policy issue, and a long-term R&D investment area of a government. The objective of this model study is to quantify the innovation potential of nano R&D investments conducted by Korea government, using input-output based efficiency measurement model and NTIS (National Science & Technology Information Service) that is comprehensive data portal for national R&D investments/outcomes including nanotechnology.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.732-744
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• 2008

정부의 정보화 사업에 대한 투자 성과평가는 중요한 연구주제 중 하나이다. 본 연구에서는 노동부의 산업 인력정보화 사업인 워크넷(work.go.kr)에 대한 성과지표를 도출하고 이를 분석하고자 한다. 국가 정보화 사업에 대한 성과지표에 대해서는 특히 민간기업과는 달리 해당 기관의 공익적 목적이 함께 고려되어 평가되어야 한다. 산업인력정보화 사업의 목적은 혁신적이고 효율적인 대국민 서비스를 통하여 산업인력의 원활한 유지 및 실직된 인력의 재 양성을 통한 노동시장 재분배 등의 노동정책을 지원하는 것이다. 그러나 현재의 성과지표는 이러한 점들에 대한 반영 이 미흡한 상황이다. 이에 본 연구는 KISDI의 정보화 성과평가 프레임워크를 기반으로 다양한 기존의 공공정보화 성과평가 방법론들의 성과지표를 비교분석 하여 산업인력정보화 사업 성과분석에 필요한 지표들을 도출하였다. 개발된 성과 지표를 적용하여 Performance layer, Business layer, Process layer, Input layer에 따라 워크넷의 도입성과 및 업무 프로세스 개선 효과에 대해서 실증 분석을 실시하였다. 본 연구의 성과지표는 민간 기업의 성과지표와는 차별화된 공공정보화 사업성과 분석 지표로써, 다양한 공공정보화 사업의 성과분석에 적용 가능할 것으로 기대된다. 또한 향후 지속적인 산업인력정보화 사업 성과분석의 기반을 제공하고 효과적인 정책을 추진하는데 도움이 될 것으로 사료된다.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.2
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• pp.118-132
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• 1998

There are numerous plant and animal species which are adapted to the conditioins of the urban environment. The objectie of landscape and nature conservation in cities can be considered as the perservation of these organisms as the basis for a direct contact between urban dwellers and the landscape elements. However, after 1980 in Korea, green and biotope oases started to develop in the center of the urban area, from which the surrounding population benefited, at least indirectly. Thus urban biotope mapping and biotope informatioin system as a specialized tool of urban ecological landscape planning will make clear the orientation for the preservation of species and renaturalizing measures. The results are as follows : 1) Biotope types in the study area were separated to 21 biotope. 2) The written description of the biotopes took place on the computerized forms. The basis for the uniform inclusion and description of all biotopes surveyed was a codeplan. Additional details were included on the urban biotope mapping. 3) The evaluation of the mapped biotopes was completed to the following aspect, namely " species diversity and biotope conservation value" and "nature experience value". 4) UBM and BIS represent an important basis for decision aid for the city administration within the context of the ecological urban and landscape planning process. 5) The methodology of UBM and BIS in this study area could be extended to whole urban area.to whole urban area.

• Journal of the Korea Safety Management & Science
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• v.20 no.2
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• pp.65-76
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• 2018

Recently, most of the information system use environment is changing to GUI environment based on windows and web. Most of the development tools for building such a GUI-based information system support object-oriented and event-driven programming concepts. However, there is still a lack of a development methodology that systematically supports event-based information system construction. From a business perspective, an information system is one that supports business processes efficiently and effectively to improve business performance. These business processes are composed of business activities which involve a series of business events. A business event is executed according to a business scenario. Therefore, it is necessary to grasp these events in the requirements analysis stage and to apply it on the system development methodology. However, information systems development methodology which systematically reflect the event processing concept still is insufficient. From this viewpoint, this paper proposes an event-driven scenario-based development methodology that can meet the recent development environment of information systems, and applies the proposed methodology to a small scale information system development case.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.1047-1049
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• 2022

스마트 컨테이너 제어를 위해서는 컨테이너 내부에 센서가 필요하나, 센서의 개수가 증가하면 비용 및 시스템 부하가 증가한다. 본 연구에서는 CFD(Computational Fluid Dynamics)를 이용하여 얻은 컨테이너 내부 온도 데이터와 센서 위치 최적화 알고리즘을 이용하여 컨테이너 내부 모니터링을 위한 최적의 센서 위치 결정 방법론을 제시한다. CFD 상용 SW로 컨테이너 내·외부 상황을 가정하여 내부 온도 데이터를 추출하고, 이를 바탕으로 내부 상태를 대표하는 공간들을 구분한다. 컨테이너 내벽에 부착된 센서가 탐지할 수 있는 능력을 탐지 거리 및 각도의 수식들로 나타내어 각 수식을 조합하여 센서의 탐지 능력을 수치화하고, 이 수치에 따라 균등하게 분포된 센서 위치 후보군 중, 선별된 공간을 탐지하는 센서 위치를 최적화하여 효율적인 컨테이너 제어를 위한 여건을 마련한다.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.999-1004
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• 2006

본 연구에서는 다양한 개념 패싯과 관계 패싯들을 수용한 범용 과학기술 시소러스 구축용 웹 기반 워크벤치 개발에 대해 기술한다. 기존 국내 시소러스 구축용 워크벤치들이 제공하는 기본적인 용어 관계구축 기능을 확장하여 개념 패싯, 범주 관계 패싯, 의미역 관계 패싯, 속성 관계 패싯 및 속성 키워드 처리 기능을 원활히 제공할 수 있는 사용자 중심적 워크벤치를 개발함으로써 시소러스 상의 개념들에 대한 효율적인 구축이 가능하도록 한다. 또한 시멘틱 웹 상의 온톨로지 영역에 보다 근접한 고도화되니 시소러스 구축을 위해 용어들을 개념화시키고, 개념간의 다양한 관계를 설정하는 프로세스 중심적 설계로 분야 적합성이 높은 정보 처리 기반을 갖춘다. 궁극적으로 여러 마이크로 시소러스들을 통합하여 운용할 수 있는 복합 모델을 구축하는 것을 목표로 하고 있다. 이러한 목적에 부합하는 시스템 구현을 위해 CBD(Component Based Development) 개발 방법론으로 MSF/CD를 이용하였으며, 분산 환경에서 이기종간의 데이터 교환을 용이하게 하기 위하여 웹 서비스 (XML Web Services)를 이용하였다. 또한 시멘틱 웹 기반 연구자 간 협업 지원 서비스 구현을 위한 확장 검색용으로서도 활용할 수 있도록 하였다. 시소러스 반출은 CSV, XML 및 RDF를 모두 지원할 수 있도록 함으로써 다양한 사용자 요구 사항에 부합할 수 있도록 하였다. 시소러스 브라우징을 시각화 기반의 3단계 구조를 가진 플래시로 구현하여 사용자가 쉽게 시소러스를 탐색하고 분석할 수 있는 기반을 제공하였다. 또한 다양한 검색 요구를 만족시키고자 기본 검색, 고급 검색, 메타 검색을 선택할 수 있도록 하며, 개념 편집 및 시소러스 브라우징과 연동시켜 효율적인 시소러스 구축이 가능하도록 하였다. 본 연구의 워크벤치를 이용하여 구축된 시소러스는 기존 시소러스들에 비해 사용자가 보다 폭넓은 의미 기반 검색을 수행할 수 있도록 함으로써 다각적인 정보를 쉽게 획득할 수 있는 기반을 마련하고 있다는 데 의의가 있으며, 다국어 시소러스 및 다중 시소러스를 수용할 수 있는 방향으로 발전시킬 계획이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.6
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• pp.567-580
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• 2016

In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the marine disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data marine disaster prevention informatization in terms of ICT maritime disaster prevention system development as preparedness for the maritime disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful marine disaster prevention informatization strategy as preparedness for the maritime disaster like Ferry Sewol Disaster. It proposed the big data marine disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data marine disaster prevention informatization in smart society. Eventually in 2030 to around, In order to still remain our marine disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced Big Data administrative spatial informatization system In terms of prevention of incidents like Ferry Sewol Disaster.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.5
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• pp.142-155
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• 2019

This study was conducted with the aim of developing a system to collect taxi GPS probe information to prevent link defects and to improve the accuracy of the standard link-based travel speed by determining when to go into and come out the link. For this purpose, a framework and algorithm consisting of a five-step process for standard link-based map matching and individual vehicle travel speed are presented and used it to calculate the average travel speed of the service link. Two on-site surveys of Teheran and Hakdong-ro were conducted to verify the results by the methods proposed in this paper. On the basis of the overall time of the field survey, the deviation in the travel speed was 0.2 km/h and 0.6 km/h, the accuracy was 99% and 96%, and the MAPE(Mean Absolute Percentage Error) was 1% and 4% in Teheran and Hakdong-ro, respectively. These results were more accurate thand those obtained using conventional methodologies without standard links.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.73-82
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• 2011

Recent advancement in traffic surveillance systems has allowed the researchers to obtain more detailed vehicular movement such as individual vehicle trajectory data. Understanding the characteristics of interactions between leading and following vehicles in the traffic flow stream is a backbone for designing and evaluating more sophisticated traffic and vehicle control strategies. This study proposes a methodology for estimating rear-end crash potential, as a probabilistic measure, in real-time based on the analysis of vehicular movements. The methodology presented in this study consists of three components. The first predicts vehicle position and speed every second using a Kalman filtering technique. The second estimates the probability for the vehicle's trajectory to belong to either 'changing lane' or 'going straight'. A binary logistic regression (BLR) is used to model the lane-changing decision of the subject vehicle. The other component calculates crash probability by employing an exponential decay function that uses time-to-collision (TTC) between the subject vehicle and the front vehicle. The result of this study is expected to be adapted in developing traffic control and information systems, in particular, for crash prevention.