• Journal of Communications and Networks
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• 제14권3호
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• pp.225-229
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• 2012

We examine spectrum sensing in a situation of uncertain channel model. In particular, we assume that, besides additive noise, the observed signal contains an interference term whose probability distribution is unknown, and only its range and maximum power are known. We discuss the evaluation of the detector performance and its design in this situation. Although this paper specifically deals with the design of spectrum sensors, its scope is wider, as the applicability of its results extends to a general class of problems that may arise in the design of receivers whenever there is uncertainty about how to model the environment in which one is expected to operate. The theory expounded here allows one to determine the performance of a receiver, by combining the available (objective) probabilistic information with (subjective) information describing the designer's attitude.

• Journal of Electrical Engineering and Technology
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• 제13권2호
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• pp.961-968
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• 2018

Recently, researches on automatic recognition of human activities have been actively carried out with the emergence of various intelligent systems. Since a large amount of visual data can be secured through Closed Circuit Television, it is required to recognize human behavior in a dynamic situation rather than a static situation. In this paper, we propose new intelligent human activity recognition model using the trajectory information extracted from the video sequence. The proposed model consists of three steps: segmentation and partitioning of trajectory step, feature extraction step, and behavioral learning step. First, the entire trajectory is fuzzy partitioned according to the motion characteristics, and then temporal features and spatial features are extracted. Using the extracted features, four pedestrian behaviors were modeled by decision tree learning algorithm and performance evaluation was performed. The experiments in this paper were conducted using Caviar data sets. Experimental results show that trajectory provides good activity recognition accuracy by extracting instantaneous property and distinctive regional property.

• 산업경영시스템학회지
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• 제36권1호
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• pp.36-43
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• 2013

Many retailer store managers are experiencing the situation where some customers balk at purchasing products if the stock is low. In this paper, we extend the single period newsvendor model in an environment of customer balking behavior occurring at double threshold inventory levels assuming the chance of sales during balking is a discrete function of inventory level. Our analysis is based on the assumption that only the mean and the variance of demand are known, without assuming any specific distributional form. We derive the explicit general expression of optimal order quantity with unknown distribution of demand with double threshold inventory levels of customer balking. Then, we illustrate the concepts developed here through simple numerical examples and conclude the future research topics under balking situation.

• 한국수학교육학회지시리즈A:수학교육
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• 제47권1호
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• pp.91-106
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• 2008

Interviews with 24 pupils in grade 1-2 were used to investigate awareness of the relation between situation and computation in simple quotitive and partitive division problems as informally experienced. Then it was suggested how to connect children's informal knowledge and formal knowledge of division. Most subjects counted cubes or made drawing, and related these methods to the situation described in the problems. In result, quotitive division was experienced as a dealing situation, where the number of items represented by the divisor was repeatedly taken from the whole number. And estimate-adjust was the most frequently displayed way of experiencing partitive division. Therefore, partitive division with its two measurement variables can be related to a measurement model. And children should be taught column algorithms for division with estimated-adjust which pupils used for partitive division problems.

• 한국가스학회지
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• 제1권1호
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• pp.64-72
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• 1997

화학 플랜트에서의 이상상황 발생시, 안정된 공정으로 복귀시키기 위하여 운전자의 의사결정을 지원하는 goal tree를 합성하는 시스템을 개발하였다. 운전자의 경험적 지식을 바탕으로 발생 가능한 많은 사고들의 특징과 이상의 규모등에 적절하게 대응조치상황을 발견할 수 있도록 지식베이스를 구축하였다. 그리고, 인공지능기법을 이용하여 적용공정에 대한 구체적인 대응조치상황을 생성하였다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 추계학술대회 논문집(II)
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• pp.35-39
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• 2003

Effort has been given to improve demand forecast methodology of rail system since it can have great impact on project evaluation of rail system investment. However most of demand forecast softwares developed in western countries where concerns have been provided mostly to private transport and they should be updated in order to reflect our country's situation accurately. Therefore, this paper aims, especially focusing on rail system, to do comparison analysis of oversea's passenger demand forecast softwares and provide some ideas to develop the updated demand forecast system which enables to reflect our country's situation accurately. Main conclusions are that we will need to have well described model for real situation. So we will have to study for these aspects for travel demand forecasting system and develop the package architecture.

• 제어로봇시스템학회논문지
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• 제15권12호
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• pp.1203-1208
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• 2009

Green IT based u-City means that u-City having Green IT concept. If we adopt the situation awareness or not, the processing of Green IT may be reduced. For example, if we recognize a lot of speech sound on CCTV in u-City environment, it takes a lot of processing time and cost. However, if we want recognize emergency sound on CCTV, it takes a few reduced processing cost. So, for detecting emergency state dynamically through CCTV, we propose our advanced speech recognition system. For the purpose of that, we adopt HMM (Hidden Markov Model) for feature extraction. Also, we adopt Wiener filter technique for noise elimination in many information coming from on CCTV in u-City environment.

• 가족자원경영과 정책
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• 제1권2호
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• pp.45-58
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• 1997

The purpose of this study was to test a causal model of employed and unemployed wives on the basis of the family resource management system theory. The data of this study were obtained from 244 wives who lived in Seoul and were financial mangers. Major findings of this study were as follows: 1. Both employed and unemployed wives, knowledge of financial management was significantly predictor of financial planning. That is, household financial mangers with more financial knowlege used more effective planning behaviors than did those financial managers with less financial konwlege. This results emphasize the significance of enhancing the financial konwledge in the household financial management. 2. For unemployed wives, expectation of household’s future financial condition was influenced by age, household income, locus of control over their financial situation, and perception of financial management’s effectiveness. The strongest predictor of expectation of the household’s future financial situation was age. Younger managers were more optimistic about the future. 3. The findings of this study support theoretical framework on the basis of the family resource management system theory, both for employed and unemployed wives.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (B)
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• pp.77-82
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• 2006

Situation awareness는 유비쿼터스 환경에서 사용자의 상황에 맞는 적절한 서비스를 제공하기 위한 방법으로, 다양한 context와 action이력을 기술하여 협동 시스템을 표현할 수 있는 Situation Aware-Interface Definition Language(SA-IDL) 접근방법이 유용하다. 하지만, SA-IDL로 다수의 상황인지 서비스를 만들게 될 때 서비스 단독으로는 문제가 없을지라도 여러 개의 서비스들 사이에서는 충돌문제가 발생할 수 있다. 이런 충돌을 검출해내고 해결하기 위해서, 을 수학적으로 모델링된 SA-IDL을 통해, 충돌을 수학적으로 정의하여 기술하고, graph theory적인 접근 방법과 자기 상관계수를 통한 마크호프 예측 기법으로 해결하고자 한다.

• 한국시스템다이내믹스연구
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• 제1권2호
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• pp.61-89
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• 2000

The purpose of this study is first, to find out what factors affect the cooperation and trust within the functions in the policy implementation network and in what mechanism these factors interact, second to investigate the whys to manage trust and cooperation successfully in the dynamic situation such as the network setting. For these purpose, this study reviews the concept and characteristics of policy implementation organizations, second, extracts the various factors affecting trust and cooperation in the network situation, third applies and analyzes the relationship among factors to system dynamics model based on the game theory. The results of this study could be summarized as follows: It was found that the utility change within the participants by persuasion ＆ mutual understanding and change of rule would be leading to success in policy implementation network. Also bureaucratic management such as power enforcement does not have any good impact in the managing network. In this study, system simulation method tried to analyze the hypothesis. Quantitative and case analyses were not accompanied and analysis was limited to two-person game theory. So there is some doubt this results could be generalized to actual situation which is N-person game.