• Title/Summary/Keyword: Search theory

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The Study of Influence Factors on External Information Search Effort in Online Shopping Malls (온라인 쇼핑몰에서의 외부정보탐색노력에 대한 영향요인에 관한 연구)

  • Choi, Nak-Hwan;Lee, Chang-Won;Hwang, Yun-Yong
    • Journal of Global Scholars of Marketing Science
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    • v.15 no.3
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    • pp.93-116
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    • 2005
  • This study explored factors affecting consumer's external information search effort on online shopping malls through three approaches(cost-benefit approach, psychological motivation approach, and web-site theory approach) respectively, and designed the integrative model through searching the relationships among them. In this study search motivation are designed to be explained by search benefit and search cost that are explained by factors related to the web site and search efforts are designed to be explained by search benefit, search cost and search motivation. The results from our empirical research showed that search motivation, search benefits and prior knowledge on online shopping malls have a direct effect on consumer external information search effort. On the other hand, it was verified that the search motivation was affected by search benefits and purchase involvement, and the search benefits are directly influenced by purchase involvement, constructive simplicity, search convenience and trust. In addition, purchase involvement, time press, constructive simplicity and search convenience had direct effects on the search cost.

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Optimal Environmental and Economic Operation using Evolutionary Computation and Neural Networks (진화연산과 신경망이론을 이용한 전력계통의 최적환경 및 경제운용)

  • Rhee, Sang-Bong;Kim, Kyu-Ho;You, Seok-Ku
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.12
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    • pp.1498-1506
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    • 1999
  • In this paper, a hybridization of Evolutionary Strategy (ES) and a Two-Phase Neural Network(TPNN) is applied to the optimal environmental and economic operation. As the evolutionary computation, ES is to search for the global optimum based on natural selection and genetics but it shows a defect of reducing the convergence rate in the latter part of search, and often does not search the exact solution. Also, neural network theory as a local search technique can be used to search a more exact solution. But it also has the defect that a solution frequently sticks to the local region. So, new algorithm is presented as hybrid methods by combining merits of two methods. The hybrid algorithm has been tested on Emission Constrained Economic Dispatch (ECED) problem and Weighted Emission Economic Dispatch (WEED) problem for optimal environmental and economic operation. The result indicated that the hybrid approach can outperform the other computational efficiency and accuracy.

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Bus Reconfiguration Strategy Based on Local Minimum Tree Search for the Event Processing of Automated Distribution Substations

  • Ko Yun-Seok
    • KIEE International Transactions on Power Engineering
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    • v.5A no.2
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    • pp.177-185
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    • 2005
  • This paper proposes an expert system that can enhance the accuracy of real-time bus reconfiguration strategy by adopting the local minimum tree search method and that can minimize the spreading effect of the fault by considering the operating condition when a main transformer fault occurs in an automated substation. The local minimum tree search method is used to expand the best-first search method. This method has the advantage that it can improve the solution performance within the limits of the real-time condition. The inference strategy proposed expert system consists of two stages. The first stage determines the switching candidate set by searching possible switching candidates starting from the main transformer or busbar related to the event. The second stage determines the rational real-time bus reconfiguration strategy based on heuristic rules from the obtained switching candidate set. Also, this paper proposes generalized distribution substation modeling using graph theory, and a substation database based on the study results is designed.

STUDY ON THE REAL TIME VOLTAGE-REACTIVE POWER CONTROL USING THE FUZZY THEORY (FUZZY 이론을 이용한 전압.무효전력의 순서제어에 관한 연구)

  • Song, K.Y.;Kim, S.Y.;Cho, J.W.
    • Proceedings of the KIEE Conference
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    • 1990.11a
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    • pp.231-234
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    • 1990
  • This paper shows real-time control technique of voltage-reactive power using the fuzzy theory. Here, major benefits of applying the fuzzy set theory as follow. First, heuristic knowledge of operator has been used in the operation and control of power system. Second, difficulties in traditional multi-objective numerical solution methods have been solved. Also, to achieve optimizing process on the voltage-reactive power control conventional search method have been used.

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The Analysis of the Trend and Direction on the Korean and International Research Related to the Fuzzy Theory (국내.외 퍼지관련 연구추이 및 연구방향의 분석)

  • 박계각;서기열
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.201-204
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    • 2000
  • It seems that the \"fuzzy boom\" which began with its applications has calmed down and fallen into decay at least in Korea. But many foreign researchers say the research related to fuzzy theory has been only running its right course. In this paper, we discuss the trend and direction of reaserch related to fuzzy theory. The search trend is obtained through the analysis of the papers of the latest 10years papers in the journals of three societies: KFIS, SOFT and IFSA.

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Sensorless Vector Control Using Tabu Search Algorithm (타부 탐색을 이용한 센서리스 벡터 제어)

  • Lee, Yang-Woo;Park, Kyung-Hun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.12
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    • pp.2625-2632
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    • 2009
  • Recently, a speed control method of induction motor by vector control theory is applied to highly efficient industrial field. The speed sensors attached to motor are used for detection of rotating speed. In the case using speed sensor, the installation of cable for minimization of electric noise, weaken maintenance, increase of price are demerit. Therefore the study of speed sensorless vector control theory performed activity. The design of sensorless vector controller for induction motor using tabu search is studied. The proposed sensorless vector control for Induction Motor is composed of two parts. The first part is for optimizing the speed estimation with initial PI parameters. The second part is for optimizing the speed control with initial PI parameters using tabu search. Proposed tabu search is improved by neighbor solution creation using Triangular random distribution. In order to show the usefulness of the proposed method, we apply the proposed controller to the sensorless speed control of an actual AC induction Motor System. The performance of this approach is verified through simulation and the experiment.

Bus Reconfiguration Strategy Based on Local Minimum Tree Search for the Event Processing of Automated Distribution Substation (자동화된 변전소의 이벤트 발생시 준최적 탐색법에 기반한 모선 재구성 전략의 개발)

  • Ko Yun-Seok
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.10
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    • pp.565-572
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    • 2004
  • This paper proposes an expert system which can enhance the accuracy of real-time bus reconfiguration strategy by adopting local minimum tree search method and minimize the spreading effect of the fault by considering totally the operating condition when a main transformer fault occurs in the automated substation. The local minimum tree search method to expand the best-first search method. This method has an advantage which can improve the performance of solution within the limits of the real-time condition. The inference strategy proposed expert system consists of two stages. The first stage determines the switching candidate set by searching possible switching candidates starting from the main transformer or busbar related to the event. And, second stage determines the rational real-time bus reconfiguration strategy based on heuristic rules for the obtained switching candidate set. Also, this paper studies the generalized distribution substation modelling using graph theory and a substation database is designed based on the study result. The inference engine of the expert system and the substation database is implemented in MFC function of Visual C++. Finally, the performance and effectiveness of the proposed expert system is verified by comparing the best-first search solution and local minimum tree search solution based on diversity event simulations for typical distribution substation.

Analysis of the Marital Relationship in "Vegetarian" of the Han Gang : Focusing on Object Relation Theory (한강의 「채식주의자」 부부 관계 분석 : 대상관계이론을 중심으로)

  • Choi, Ji-Won
    • The Journal of the Korea Contents Association
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    • v.20 no.12
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    • pp.582-592
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    • 2020
  • The purpose of this research is to analyze the psychological dynamics of the characters in the novel 'vegetarian' of the Han Gang and the relationship patterns in the system by applying object relation theory. 'Vegetarianism' has already been analyzed and reinterpreted in various angles, but if you look at it from the object relationship theory and the systematic perspective, you can understand the inevitable history of the generation through psychological analysis and relation dynamics of the person. First, we will analyze the psychological dynamics of the characters by analyzing the meanings and exploring the meaning with the object relation theory and concept. The psychological analysis and the search process of the characters based on the theory are enough evidence for the counselor to reinterpret the life story of the client in the future clinical scene. In addition, in order to realize ethical but practical clinical education, the field of clinical practice will be extended when analyzing the characters using art. It is suggested that the meaning search through various character analysis needs to be accumulated culturally.

Uncertainty Study: Information Seeking Behaviors of Doctoral Students in Business Management (정보행태 불확신성에 관한 연구 - 경영학분야 박사과정 연구자들을 중심으로 -)

  • Kim, Yang-Woo
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.23 no.1
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    • pp.65-89
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    • 2012
  • Using grounded theory, this study investigated users' information seeking behaviors associated with their perceptions of uncertainty. Based on a theoretical sampling, 17 doctoral students in the field of business management were recruited. Data was collected through the methods of questionnaire, interviewing, and think-aloud descriptions. The results identified user perceptions of uncertainty in the following stages: identification of information needs, selection of information systems, selection of search terms, actual use of systems, and evaluation of search results. In addition, positive aspects of uncertainties were presented. Major implications relate to information system and service improvements.

A Study on Consumer Behavior by the human Ecological Approach -with Special Attention to housing prepurchasing behavior- (인간생태학적 접근방법에 의한 소비자행동연구 - 住宅情報探索행동을 중심으로-)

  • 박혜선;김기옥
    • Journal of Families and Better Life
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    • v.6 no.1
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    • pp.95-116
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    • 1988
  • this study has dual purposes; one is to develope a new theoretical framework in consumer behavior area by applying the human ecological approach, and the other is to test the theory empirically area by applying the human ecological approach, and the other is to test the theory empirically by examining prepurchasing behavior of housing. Research methods adopted in this study are library search and survey research with self-administered questionnaires. The statistical methods used in the survey research are factor analysis, chi square test, and multivariate analysis with crosstablulations. According to the human ecological approach, ecological environments are important sources of consumer needs which , in turn, are satisfied by purchasing behavior in the market. Within this theoretical framework, consumers con improve the quality to life by perceving clearly what their needs are thereby making the most possible efficient purchasing decision making. The major findings of the empirical research on the basis of the theoretical framework are as follows; 1) Housing needs significantly vary with different ecological environment. 2) consumer information search behavior does not differ significantly by housing needs. 3) Housing needs turn out to be an intervening variable between ecological environments and consumer information search behavior. the results of this study show that the human ecological approach is useful in consumer behavior studies. The empirical result that consumer needs are not significantly satisfied by consumer behavior suggests a now direction in consumer education.

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