• 한국정밀공학회지
• /
• 제25권10호
• /
• pp.67-76
• /
• 2008

In this research, a simple technique for designing PID controller, which guarantees robust stability for two-mass systems with parameter uncertainties as well as rigid-body behavior and zero steady-state error,is described. As well, such a PID controller is designed to mate two important frequencies, at which the given system is excited, very close so that an appropriate reference profile generated by using command shaping techniques can cover those two frequencies. Root-locus analysis. which shows traces of closed-loop poles for the given system, is used to design this PID controller. Finally, feedforward controller is added to improve tracking performance of the closed-loop system. Simulation for a system with a flexible mode and parameter uncertainties is executed to prove the feasibility of this technique.

• 한국정밀공학회지
• /
• 제14권4호
• /
• pp.46-55
• /
• 1997

This paper presents the development of intelligent performance management of computer communication networks for larger-scale integrated systems and the demonstration of its efficacy using computer simula- tion. The innermost core of the performance management is based on fuzzy set theory. This fuzzy perfor- mance manager has learning ability by using principles of neuro-fuzzy model, neuralnetwork, genetic algo- rithm(GA). Two types of performance managers are described in this paper. One is the Neuro-Fuzzy Per- formance Manager(NFPM) of which learning ability is based on the conventional gradient method, and the other is GA-based Neuro-Fuzzy Performance Manager(GNFPM)with its learning ability based on a genetic algorithm. These performance managers have been evaluated via discrete event simulation of a computer network.

• 한국산업정보학회논문지
• /
• 제2권2호
• /
• pp.189-207
• /
• 1997

Recently, we have witnessed a host of emerging tools in the management support systems (MSS) area including the data warehouse/multidimensinal databases (MDDB), data mining, on-line analytical processing (OLAP), intelligent agents, World Wide Web(WWW) technologies, the Internet, and corporate intranets. These tools are reshaping MSS developments in organizations. This article reviews a set of emerging data management technologies in the knowledge discovery in databases(KDD) process and analyzes their implications for decision support. Furthermore, today's MSS are equipped with a plethora of AI techniques (artifical neural networks, and genetic algorithms, etc) fuzzy sets, modeling by example , geographical information system(GIS), logic modeling, and visual interactive modeling (VIM) , All these developments suggest that we are shifting the corporate decision making paradigm form information-driven decision making in the1980s to knowledge-driven decision making in the 1990s.

• 대한원격탐사학회:학술대회논문집
• /
• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
• /
• pp.421-424
• /
• 1999

The purpose of this study is to demonstrate a variety of methods for reducing the speckle noise content of SAR images, whilst at the same time retaining the fined details and average radiometric properties of the original data. In order to increase the accuracy of classification, Two categories of filters are used (speckleblind(simple), Speckle aware(intelligent)) and Segmentation of highly speckled radar imagery is achieved by the use of the Gaussian Markov Random Field model(GMRF). The problems in applying filtering techniques to different object types are discussed and the GMRF procedure and efficiency of the segmentation also discussed.

• Journal of Biosystems Engineering
• /
• 제22권3호
• /
• pp.343-350
• /
• 1997

In farm management, many factors should be considered to select optimum farm machinery Some factors such as fm size can be quantified, but other factors such as working experience can not be. Futhermore, as several factors are missed and assumptions are made for the selection using conventional computer programs, the result is sometimes questionable. This problem can be solved using artificial intelligent techniques such as expert system. In this study, an expert system was developed to select optimum machinery by considering available working days, machinery to on, farming environments, labor cost, population, etc. It also took into account the characteristics of machinery, turning radius, easiness of operation, subsidy, loan to purchase, asset. farmers age, Rest Metabolic Rate, and working experience, etc. Expertise and experience of human experts were utilized to develop the expert system. The developed expert system was evaluated by the human experts and others, and it was proved to be practically useful fir farmers.

• 지식경영연구
• /
• 제9권4호
• /
• pp.51-63
• /
• 2008

Effective energy consumption now becomes one of the area of knowledge management which potentially gives global impact. It is considerable for the energy management to optimize the usage of energy, rather than decreasing energy consumption at any cases. To resolve these challenges, an intelligent and personalized system which helps the individuals control their own behaviors in an optimal and timely manner is needed. So far, however, since the legacy energy management systems are nation-wide or organizational, individual-level energy management is nearly impossible. Moreover, most estimating methods of energy consumption are based on forecasting techniques which tend to risky or analysis models which may not be provided in a timely manner. Hence, the purpose of this paper is to propose a novel individual-level energy management system which aims to realize timely and personalized energy management based on context-aware computing approach. To do so, an index model for energy consumption is proposed with a corresponding service framework.

• 지능정보연구
• /
• 제5권1호
• /
• pp.123-123
• /
• 1999

본 연구는 여러 가지 데이터마이닝 기법으로부터 도출된 지식이 어떻게 인간의 판단에 영향을 미치는 가를 지식구조별, 자료특성별, 전문가지식의 일관성별로 실증적 연구를 하여 궁극적으로 전문가 의사결정에 도움이 되는 데이터마이닝 기법의 활용방안을 제시하고자 한다. 분석결과 전문가들의 판단은 데이터마이닝의 지식표현형태에 의한 영향을 많이 받고 있는 것으로 나타났으며, 특히 IF-THEN의 형태로 표현되는 명제형 지식구조에 가장 많은 신뢰를 갖는 것으로 나타났다. 특히 자료의 특성, 또는 전문가의 판단 일관성과 데이터마이닝 기법 사이에 상호작용효과가 있어 향후 데이터마이닝 기법을 활용하여 전문가의 의사결정을 돕고자 할 때는 이러한 차이점을 고려해야 하는 것으로 밝혀졌다.

• 지능정보연구
• /
• 제5권1호
• /
• pp.125-143
• /
• 1999

본 연구는 여러 가지 데이터마이닝 기법으로부터 도출된 지식이 어떻게 인간의 판단에 영향을 미치는 가를 지식구조별, 자료특성별, 전문가지식의 일관성별로 실증적 연구를 하여 궁극적으로 전문가 의사결정에 도움이 되는 데이터마이닝 기법의 활용방안을 제시하고자 한다. 분석결과 전문가들의 판단은 데이터마이닝의 지식표현형태에 의한 영향을 많이 받고 있는 것으로 나타났으며, 특히 IF-THEN의 형태로 표현되는 명제형 지식구조에 가장 많은 신뢰를 갖는 것으로 나타났다. 특히 자료의 특성, 또한 전문가의 판단 일관성과 데이터마이닝 기법 사이에 상호작용효과가 있어 향후 데이터마이닝 기법을 활용하여 전문가의 의사결정을 돕고자 할 때는 이러한 차이점을 고려해야 하는 것으로 밝혀졌다.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2007년도 한국지능정보시스템학회
• /
• pp.218-225
• /
• 2007

Recommendation system is one way of implementing personalized service. The collaborative filtering is one of the major techniques that have been employed for recommendation systems. It has proven its effectiveness in the recommendation systems for such domain as motion picture or music. However, it has some limitations, i.e., sparsity and scalability. In this research, as one way of overcoming such limitations, we proposed the stepwise collaborative filtering method. To show the practicality of our proposed method, we designed and implemented a movie recommendation system which we shall call Step_CF, and its performance was evaluated using MovieLens data. The performance of Step_CF was better than that of Basic_CF that was implemented using the original collaborative filtering method.

• 한국경영과학회지
• /
• 제19권2호
• /
• pp.129-151
• /
• 1994

Recently, Decision Support Systems (DSS) research has seen a more to combine Artificial Intelligence (AI) including neural network techniques with traditional DSS concepts and technologies to build an intelligent DSS or a knowledge-based DSS. This article proposes a Management Evaluation and its Support System (MESS) as a knowledge-based DSS. The management evaluation of a firm means the performance of all managerial operations is appraised by considering the situations of the firm. A neural network is used to represent the management evaluation structure as a suitable means of management knowledge representation. Finally a case study in a telecommunication corporation is presented.