• 정보처리학회논문지A
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• 제10A권1호
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• pp.69-74
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• 2003

경쟁적인 시장에서 살아남기 위해서는 공장의 공정제어를 정확하게 하는 것이 필수적이다. SPC(Statistical Process Control) 시스템은 품질 향상의 욕구를 충족시키기 위해 광범위하게 사용되어지고 있다. 하지만 대부분의 기존 상업제품들은 유연성이 떨어지고, 반자동적으로 운영되며, 다른 툴과의 접목에 어려움이 있다. 본 논문이 제안하는 rSPC(Real-Time SPC) 시스템은 웹을 기반으로 하고, XML을 입력/출력 프로토콜로 이용한다. 또한 강력한 그래픽 표현기능과 효율적인 파일 시스템으로 실시간 제어를 가능하게 한다. 새로운 SPC시스템은 어떤 생산체제에도 사용 가능하지만, 특히 반도체, TFT/LCD 산업에 최적화되어 있다. 시스템의 구현은 C++과 COM/DCOM을 사용하며, 기존의 제품보다 향상된 성능을 보인다.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권1호
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• pp.19-30
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• 2013

Recently, the constrained index tracking problem, in which the task of trading a set of stocks is performed so as to closely follow an index value under some constraints, has often been considered as an important application domain for control theory. Because this problem can be conveniently viewed and formulated as an optimal decision-making problem in a highly uncertain and stochastic environment, approaches based on stochastic optimal control methods are particularly pertinent. Since stochastic optimal control problems cannot be solved exactly except in very simple cases, approximations are required in most practical problems to obtain good suboptimal policies. In this paper, we present a procedure for finding a suboptimal solution to the constrained index tracking problem based on approximate dynamic programming. Illustrative simulation results show that this procedure works well when applied to a set of real financial market data.

• 대한전기학회논문지:전력기술부문A
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• 제53권8호
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• pp.466-471
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• 2004

Electricity industries throughout the world are undergoing unprecedented changes. As a result, these changes lead to the separation of traditional integrated utilities and the introduction of competition in order that increase efficiency in electricity industry. Direct load control (DLC) system in competitive electricity market has a hierarchical interactive operation system, therefore, its control logic is also applied by bilateral interactive method that interchanges information related to interruptible load between operation hierarchies. Consequently, load curtailment allocation algorithm appropriate for new DLC system is required, and based on interchanged information, this algorithm should be implemented by most efficient way for each operation hierarchy. In this paper, we develop the load curtailment allocation algorithm in an emergency for new DLC system. Especially, the optimal algorithm for load aggregator (LA) that participates in competitive electricity market as a main operator for load management is developed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.73-83
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• 2014

Many recent theoretical developments in the field of machine learning and control have rapidly expanded its relevance to a wide variety of applications. In particular, a variety of portfolio optimization problems have recently been considered as a promising application domain for machine learning and control methods. In highly uncertain and stochastic environments, portfolio optimization can be formulated as optimal decision-making problems, and for these types of problems, approaches based on probabilistic machine learning and control methods are particularly pertinent. In this paper, we consider probabilistic machine learning and control based solutions to a couple of portfolio optimization problems. Simulation results show that these solutions work well when applied to real financial market data.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.271-274
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• 2005

Under competitive power markets, various long-term and short-term contracts based on spot price are used by producers and consumers. So an accurate forecasting for spot price allow market participants to develop bidding strategies in order to maximize their benefit. Artificial Neural Network is a powerful method in forecasting problem. In this paper we used Radial Basis Function(RBF) network to forecast spot price. To learn ANN, in addition to price history, we used some other effective inputs such as load level, fuel price, generation and transmission facilities situation. Results indicate that this forecasting method is accurate and useful.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.375-375
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• 2000

Estimating software development effort remains a complex problem attracting considerable research attention. Improving the estimation techniques available to project managers would facilitate more effective control of time and budgets in software development as well as market. However, estimation is difficult because of its similarity to export judgment approaches and fur its potential as an expert assistant in support of human judgment. Especially, in software development for DCS (Distributed Control System), because of infrastructure software related to target-machines hardware and process characteristics should be considered, estimating software development effort is more complex. This paper suggests software development effort estimation technique using neural network. The methods considered are based on COCOMO and case-based projects. Estimation results applied to case-based project appeared to have value fur software development effort estimation models.

• Journal of Electrical Engineering and Technology
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• 제9권1호
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• pp.71-79
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• 2014

This paper discusses a method for the determination of frequency control reserve requirement with consideration of the interaction between ex-ante planning and real-time balancing. In proposed method, we consider the fact that the delivered energy for tertiary control reserve is determined based on required capacity for secondary control reserve and the expected amount of load errors. Uncertain load errors are derived by Brownian motion, an optimization method is suggested using a stochastic programming. In a short, we propose an interactive dependent method for determining secondary control reserve requirement based on the principle that it satisfies to minimize the total cost. As a result, this paper provides will analyze for an example model to demonstrate the capabilities of the method.

• 경영과학
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• 제27권3호
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• pp.117-135
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• 2010

The purpose of this study is to segment the mobile phone users based on the flow types and to understand the differences in mobile phone usage behavior between the segmented groups. The 'flow' construct, which was introduced first in marketing by Hoffman and Novak[44], has been used as an important keyword for understanding consumer behavior on the World Wide Web. In this paper, we will try to use the flow aspect for the mobile market segmentation, which is one of the most fundamental tools for developing a successful marketing strategy on the mobile phone service market. We collected survey data from consumers and analyzed the data with the SPSS 12.0 package where we did ${\chi}^2$-test, factor analysis, one-way ANOVA and cluster analysis. Main results of this study are as follow. First, the flow types of the mobile phone users were classified into five types, which are named as the 'Flow' type, 'Apathy' type, 'Anxiety' type, 'Boredom' type, 'Control' type. Second, most of the results related to the usage of mobile phone service showed statistically significant differences between flow types. These findings suggest that the mobile phone service marketers should consider the various flow types of users and work out effective market segmentation strategies based on these consumer flow types.

• 지역연구
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• 제8권1호
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• pp.1-29
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• 1992

The major purpose of this paper is to examine two closely related issues. An attempt is made here to examine internationally high land price in Korea from the perspectives of market fundamentals (MF) and bubble theory, respectively. Another theoretical issue, whether land speculation can result in market failure, is also examined. It has been concluded that the primary causes for the rapid increases in land prices in Korea, could be found in the perspective of MF. (1) The financial intermediaries has been controlled by the government since 1960s. Real Interest rates in the commercial banks has been controlled at the level of zero or sometimes negative; scarce financial resources has been rationed by the government. The governmental control of the bands has also resirained the development of securities market. Money, which can not find the appropri opportunity for saving in financial market, moves to land market. (2) Socially created land value, based on rapid economic gorwth and big public investment, has been appropriated mainly by the private: The effective tax rate of land holding tax has been under 0.02 percent; Real Estate Capital Galns Tax has, in fact, affected few persons, mainly because examptions and preferential taxation have been widely permitted. (3) The government has ploaced severe limitations on rural-to-urban land conversion, although the demand for urban uses has repidly grown. All factors above caused the cyclical land speculation. This, in turn, created the myth that land prices will inevitably continue to rise. Based on the myth, the growing bubble in land price has been created. This is the secondary reason for high land price relative to income in Korea. It is also shown that it is possible that speculation in land results in market failure because land is fixed in quantity and can be used for production and speculation purposes simultaneously.

• 조명전기설비학회논문지
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• 제23권4호
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• pp.8-15
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• 2009

본 논문은 전력시장 환경에서 수요관리 자원으로서 조광제어의 잠재량과 가치평가 방안을 제시한다. 일반적으로 수요자원의 경제성 평가를 위해 캘리포니아 테스트가 널리 사용되고 있다. 하지만 전력산업의 규제완화 및 구조개편으로 인한 새로운 시장 환경에서 캘리포니아 테스트를 적용하는데 한계가 있다. 특히 UC 테스트는 수직통합 전력회사에 적합하지만 발, 송, 배전이 분할된 전력회사에는 적합하지 않다. 따라서 본 논문에서는 전력시장 환경에서 전력판매회사 관점에서 수요관리 자원으로서 조광제어의 경제성을 평가하는 새로운 방법을 제시한다. 먼저 조광제어 자원의 잠재적 가치를 분석하고, 2006년 전력시장 데이터를 이용하여 판매회사 관점에서 조광제어의 경제성을 평가한다. 본 논문의 결과는 조광제어 자원이 전력판매회사 관점에서 비용-효과적인 수요관리 자원임을 보여 준다.