• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.645-648
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• 2000

A workflow is a flow of work carried out by multiple people. In order to increase efficiency, it is re-quired to change the current workflow dynamically. Till now, three types of dynamic changes: flush, abort, and synthetic cut-over (SCO) , have been proposed. How- ever, the performance evaluations for dynamic workflow changes have not been undertaken. To do so, measuring the amount of time cost making a single change (called change time) and comparing the methods for obtaining such times become ever important. In this paper, we first define change time and then propose a computation method individually for each change type. Finally, we evaluate the performance of an example net change by computing the change times.

• 한국초등과학교육학회지:초등과학교육
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• 제24권4호
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• pp.417-425
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• 2005

Although there are some challenges to a view of science teaming as conceptual change, the view still occupies an important position in science teaming and teaching. Conceptual change theory implies that students' conceptions need to be exchanged for the new science conceptions. This was at the heart of conceptual change theory of Posner et al. (1982). According to this theory, cognitive conflict is known as an important factor in conceptual change even though there is still a controversial on effects on science teaming. This study is intended to interpret the cognitive conflict from cybernetics' perspective and explain difficulties of conceptual change which students have in teaming science and the conditions of conceptual change.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.1221-1223
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• 2003

With speediness of economy, the structure of land use has taken lots of change. How can we quickly and exactly obtain detailed land use/cover change information, and then we know land resource amount, quality, distributing and change direction. More and more high resolution satellite systems are under development. So we can make good use of RS data, existed GIS data and GPS data to extract change information and update map. In this paper a fully automated approach for detecting land use/cover change using remote sensing data with object-oriented classification based on GIS data, GPS data is presented (referring to Fig.1). At same time, I realize integrating raster with vector methods of updating the basic land use/land cover map based on 3S technology and this is becoming one of the most important developing direction in 3S application fields; land-use and cover change fields over the world. It has been successful applied in two tasks of The Ministry of Land and Resources P.R.C and taken some of benefit.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.365-367
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• 2003

In this study, we studied the change plan essentially used for improving the existing railroad signal system. For mixed installation with the existing equipment by introducing new equipment in the city railroad currently operated, it is required to establish a plan depending on the change and to present a plan for change. For the change, since it is necessary to classify ground equipment and onboard equipment and change must be carried out considering performance and functions of each equipment, we classified and studied each equipment for plans of change.

• Asia pacific journal of information systems
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• 제11권4호
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• pp.99-111
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• 2001

The prediction of stock price index is a very difficult problem because of the complexity of stock market data. It has been studied by a number of researchers since they strongly affect other economic and financial parameters. The movement of stock price index has a series of change points due to the strategies of institutional investors. This study presents a two-stage forecasting model of stock price index using change-point detection and artificial neural networks. The basic concept of this proposed model is to obtain intervals divided by change points, to identify them as change-point groups, and to use them in stock price index forecasting. First, the proposed model tries to detect successive change points in stock price index. Then, the model forecasts the change-point group with the backpropagation neural network(BPN). Finally, the model forecasts the output with BPN. This study then examines the predictability of the integrated neural network model for stock price index forecasting using change-point detection.

• Communications for Statistical Applications and Methods
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• 제29권1호
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• pp.127-150
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• 2022

We discuss multiple change-point estimation as edge detection in piecewise smooth functions with finitely many jump discontinuities. In this paper we propose change-point estimators using concentration kernels with Fourier coefficients. The change-points can be located via the signal based on Fourier transformation system. This method yields location and amplitude of the change-points with refinement via concentration kernels. We prove that, in an appropriate asymptotic framework, this method provides consistent estimators of change-points with an almost optimal rate. In a simulation study the proposed change-point estimators are compared and discussed. Applications of the proposed methods are provided with Nile flow data and daily won-dollar exchange rate data.

• 한국환경과학회지
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• 제31권10호
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• pp.891-899
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• 2022

This study investigated whether an educational program could alter students' perceptions of the causes of and solutions to climate change. On October 23, 2020, a 3-hour climate change educational program was provided to 400 high school students in Suncheon City, (Jeonnam Province, South Korea). According to the program, climate change represents a social dilemma, or tragedy of the commons; it also asserts that collective action aimed at strengthening government policy is the optimal solution to climate change, and concludes that motivated citizens should convey their opinions directly to the government through political action. After the program, the students made and shared placards calling for policy-based responses to climate change. Questionnaires completed by the students before and after the program revealed that their perceptions of the causes of and solutions to climate change changed significantly. This case study indicates that education programs have the potential to alter students' perspectives and promote actions aimed at mitigating and adapting to climate change.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2023년도 봄 학술논문 발표대회
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• pp.365-366
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• 2023

The purpose of this study is to prevent dispute due to change orders in construction projects and to handle change orders smoothly. For this purpose, this study analyzed arbitration cases caused by change order handled by the Korea Commercial Arbitration Board. Based on this, dispute factors were analyzed and change order management factors and management plans were presented. Change order management factors were derived from responsibility, contract, design, process, construction cost, and schedule management, and a detailed management plan according to the relevant factor was presented.

• Journal of Information Technology Applications and Management
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• 제30권5호
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• pp.59-82
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• 2023

The present research aims to examine whether learning from the supervisor influences readiness for change with the mediating impact of planfulness. Drawing upon the theory of planned behavior, it is hypothesized that learning from the supervisor positively impacts planfulness ability in individuals, which in turn enhances the readiness for change. Through using convenience sampling, the sample of 451 was collected from employees working full-time in the manufacturing and I.T. service organizations in India. Structural equation modeling and regression analysis indicate that learning from the supervisor is positively associated with readiness for change and planfulness. Additionally, planfulness fully mediated the relationship between learning from the supervisor and readiness to change. The findings of the present research highlight that continuous support and learning from the supervisor enhances the planfulness ability of the individual and consequently enhances individual readiness for change. The current research is pioneering in testing the hypothetical model associating learning from the supervisor, planfulness, and readiness for change.

• 한국기후변화학회지
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• 제1권2호
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• pp.179-188
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• 2010

우리나라는 유엔 기후변화 협약 상 온실가스 저감과 함께 중요하게 다뤄지고 있는 기후변화적응 문제에 대응하기 위해, 2010년에는 국가기후변화적응대책(2011~2015)의 마련 추진 등 구체적인 기후변화적응체계를 갖추어 나가고 있다. 기후변화적응에 관한 우리의 역량을 선진 외국의 정책 및 관련 도구개발 기술 등과 비교할 때, 기후변화 관련 기반의 정보 부족, 전문 연구 인력의 부족, 기후변화 취약성 평가기술 부족 등 여러 부문에서 한계가 있다. 그러나 기후변화적응과 관련된 우수한 정보체계, 상대적으로 높은 기후변화적응기술을 보유하고 있는 강점이 있다. 2009년 7월에는 기후변화적응 전문연구조직인 한국환경정책?평가연구원/국가기후변화적응센터가 마련되었고, 국가의 기후변화적응능력과 동아시아 등 기후변화에 취약한 국가들을 지원하기 위한 우리나라의 능력을 높이고 있다. 기후변화적응정책 및 기술개발이 환경산업과 밀접하게 맞물려 있음을 볼 때, 이 부문에 대해 우리나라가 추진하는 아시아 지역 개도국들에 대한 협력 및 기술지원 등은 장기적인 투자의 밑거름이라 볼 수 있다. 아시아 지역 국가들과의 기후변화적응 국제협력은 사업-연구-교육-국제 동반자 체계를 묶는 상호보완적인 통합형의 국제협력을 고려할 수 있다. 또한, 개도국과 세계적 관심을 끌 수 있는 공동의 문제를 발굴하여 함께 해결하는 동반자 및 랜드 마크형의 상호 국제협력 등은 효과적이며 지속적으로 추진할 수 있는 사업이 될 것이다.