• Title/Summary/Keyword: Action Uncertainty

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TSAS : A COMPUTERIZED PROCESS CONTROL SYSTEM AT A U.S. PETROLEUM COMPANY (TSAS : 미국석유회사의 자동 Process 통제시스템)

  • Yu, Sang-Jin
    • Asia pacific journal of information systems
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    • v.6 no.1
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    • pp.5-20
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    • 1996
  • Today's firms exist and run business in an uncertain and rapidly changing environment in terms of industry, market, technology, economic conditions, and culture. To be competitive, at least to survive, firms must cope with and manage uncertainty effectively. In other words, firms should be equipped with powerful weapons to capture competitive advantage over their competitors. There are several ways for a firm to capture competitive edge over its competitors such as cost leadership, quality of the products and services, manpower, higher productivity, and technology. Among these, technology, especially information technology, could be the most effective weapon for competitive advantages since it is possible to monitor competitors' movement as well as to provide appropriate information with both planning and control phases through an information system. In this paper, a competitive weapon in action, a Process Control System which is developed by and installed at a U.S petroleum company would the described.

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Experimental Study on the Active Control of Building Using Sliding Mode Control Method (슬라이딩 모드제어 기법을 적용한 건물의 능동제어 실험)

  • 김성춘;박정근;민경원;정진욱
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2001.05a
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    • pp.431-435
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    • 2001
  • The active structural control has emerged as structural safety of structures against natural loadings such as earthquake and wind loadings. Of many control algorithms, Sliding-Mode Control (SMC) can design both linear controller and nonlinear controller. The robustness against parameter variations as well as excitation uncertainties that is imparted to the SMC due to its nonlinear control action, could make SMC an attractive control algorithm when dealing with structures where the external excitation constitutes the main uncertainty in the system. This paper demonstrates experimentally the efficacy of the SMC algorithm based on the active mass driver system in reducing the response of seismically excited buildings. The SMC control strategy is verified with the experimental study on the one-story building model equipped with the active mass driver.

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Hofstede Cultural Dimension Measuring through World Values Surveys (World Value Surveys를 활용한 Hofstede 문화차원 측정과 활용에 관한 연구)

  • Kang, Mi-Young;Kwon, Jong-Wook
    • Asia-Pacific Journal of Business
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    • v.9 no.2
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    • pp.137-152
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    • 2018
  • Hofstede cultural value model is one of the most influential model for cross-cultural studies to measure national difference. In this study, we examine that Hofstede Cultural Dimensions can be measured by World Value Surveys. Selected WVS questions for 31 measurable countries after Exploratory Factor Analysis(EFA) and Confirmatory Factor Analysis(CFA), approved valid through empirical analysis. It is applicable that Individualism values(IND) has related to 2 questionnaires including life satisfaction, Power Distance values(PDI) to 2 questionnaires about political action(Signing a petition and Joining in boycotts), Masculinity values(MAS) to 2 sexual-role questionnaires like "University is more important for a boy than for a girl", Uncertainty Avoidance values (UAI) to 3 questionnaires about confidence(Parliament, The Political parties and Justice System), Long-Term Oriented values(LTO) to 4 questionnaires including "How proud of nationality" and Indulgence versus Restraints values (IVR)to 2 questionnaires including Feeling of Happiness.

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Risk Based Decision Support for Final Closing Section of a Sea Dike

  • Jee, Sung Hyun;Kang, Seong Hae;Kim, Jeong Hwan;Seo, Jong Won
    • Journal of Construction Engineering and Project Management
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    • v.3 no.2
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    • pp.49-57
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    • 2013
  • A sea dike construction has been increased in Korea because of the actively deployed reclamation project in basis of efficient application in land. The degree of completion in sea dike construction is affected by final closing construction, which has a lot of uncertainty that often results in higher accidents rate. Therefore, this research identified risk factors of final closing construction and classified them. This research examines the likelihood and its impact for each risk factor and calculates the risk degree as to the risk matrix. Based on this, the impact and the environmental conditions that affect to risk factors are investigated and further responsive methods are established for each risk factor. Ultimately, this research attempts to provide the risk retrenchment method for inspectors by proposing risk estimation model, responsive action list, and risk management process.

Robust Control of a Grid Connected Three-Phase Two-Level Photovoltaic Inverter (3상 2레벨 계통연계형 태양광 인버터의 강인제어)

  • Ahn, Kyung-Pil;Lee, YoungIl
    • The Transactions of the Korean Institute of Power Electronics
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    • v.19 no.6
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    • pp.538-548
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    • 2014
  • This study provides a robust control of a grid-connected three-phase two-level photo voltaic inverter. The introduced control method uses the cascade control strategy to regulate AC-side current and DC-link voltage. A robust controller with integration action is used for the inner-loop AC-side current control, which maximizes the convergence rate using a linear matrix inequality-based optimization design method and eliminates the offset error. The robust controller design method considers the parameter uncertainty set to accommodate parameter mismatch and un-modeled components in the inverter model. An outer-loop proportional-integral controller is used to regulate DC-link voltage with linearization of DC/AC relation. The proposed control strategy is applied to a grid-connected 100 kW photo voltaic inverter.

An Intelligent DSS to Assist in Multi-Attributed Managerial Decision Under Fuzziness (불명확한 상황에서의 다중속성 경영의사결정을 지원하기 위한 지능적 의사결정지원시스템)

  • Hong, Il-Yu
    • Asia pacific journal of information systems
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    • v.5 no.1
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    • pp.52-85
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    • 1995
  • This paper develops a new approach to dealing with qualitative reasoning processes involved in managerial decisions, drawing upon choice strategies that have been developed within the general framework of multi-criteria decision making. Issues such as choices under uncertainty and preference formulation are addressed. An MCDM DSS intended to assist in high-level management decisions must focus on helping the decision maker to properly define the problem by providing a structure to it and to dynamically evaluate the alternative courses of action. A conceptual architecture is developed and presented to propose a general model for designing decision support systems specifically designed to assist in MCDM in a managerial context. A commercial loan approval judgment case is described to illustrate the real-world situation where decisions are made under fuzziness and usually require a high degree of intuition and subjective judgment. Development of a prototype system intended to partially represent application of the architecture is described.

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Application of AHP in GIS-based Decision Analysis - with emphasis in Flood Hazard management (GIS 기반 의사결정 분석에 AHP의 적용 - 홍수재해관리 중심으로)

  • 김수정;염재홍;이동천
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.423-428
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    • 2004
  • Flooding is one of the main causes of loss of lives and properties among various natural disasters in Korea. Flood risk maps are currently being produced in Korea but the progress is slow considering the necessity to map at nationwide scale. In this study, GIS-based multi-criteria decision making process which is normally used for resource management and site analysis was applied to locate flood vulnerable areas. Past records of flooding maps were analysed to extract topographic characteristics of flooded areas. The extracted characteristics were then set as criteria for flooding analysis using the Fuzzy and Analytic Hierarchy Process(AHP) methodology. Results from this study showed that an improved phased action plan was possible, because the flood vulnerable areas are shown in varying degrees of uncertainty unlike the conventional Boolean type GIS layer superimposition analysis.

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A preliminary Study on Process Improvement for BIM based Condensation Performance Evaluation of Apartment Housings (BIM기반 공동주택 결로 성능평가를 위한 프로세스 개선방안에 관한 기초연구)

  • Hong, Jooyoung;Kim, Daegil;Lee, Myungdo;Kim, Daewon
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2016.05a
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    • pp.245-246
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    • 2016
  • The condensation performance evaluation is required for improved living environment of apartment housings. In the current condensation performance evaluation process, high demand of manual works and repetitive process cause unexpected risks due to uncertainty and inefficiency by applying 2D CAD drawings in simulation tool. Furthermore, the evaluation requires taking in action responding to the expanding use of BIM. In this study, the analysis of current evaluation process and required functions for the process improvement based on BIM modeling were deducted from interviews with experts. It is expected that the results of this study can be employed to develop of process automation module for condensation simulation evaluation.

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A Fault Diagnostic Expert System for Silicone Oil-filled Transformer Using Dissolved Gas Analysis (유중가스분석법을 이용한 실리콘 유입변압기 고장진단 전문가 시스템)

  • Moon, Jong-Fil;Kim, Jae-Chul;Choi, Joon-Ho;Jun, Young-Jae;Kim, Oun-Seok
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.374-376
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    • 2001
  • In this paper, we developed the fault diagnostic expert system of silicone-immersed transformer using dissolved gas analysis. The knowledge base module consists of the knowledge using the rule: if Then . The inference engine uses the fuzzy rule for the management of uncertainty of the boundary and rule and derivate the Belief and Plausibility of the normality and fault using Dempster-Shafer theory. The expert system is connected to the database and it can manages the history of gas-data of the transformer.

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Design of a Pole-Balancing Controller Using Neural Networks (신경회로망을 이용한 역추균형 재어기 설계)

  • 김유석;이장규
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.40 no.2
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    • pp.217-223
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    • 1991
  • Most common applications of neural networks to control problems are the automatic motor controls using the artificial perceptual function. These control mechanisms are similar to those of the intelligent and pattern recognition control of an adaptive method frequently performed by the animate nature. In this paper, the pole-balancing problem is selected as the control object and an actual cart-pole controller is implemented by a computer interfacing and demonstrated as motor control using the reinforcement learning rule. In the experiment, given a change of the main parameters of cart-pole dynamics, a comparison is made between the LQR scheme and neural network method. The neural network method exhibits a more effecftive control action in a real situation having a large uncertainty than the LQR scheme.