• Transactions on Control, Automation and Systems Engineering
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• v.2 no.2
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• pp.136-139
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• 2000

A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.

• Proceedings of the Korean Society of Marine Engineers Conference
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• 2005.06a
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• pp.246-250
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• 2005

Recommand Systems are being used by an ever-increasing number of E-Commerce to help customers find products to purchase. Recommend Systems offer a technology that allows personalized recommendations of items of potential interest to users based on information about similarities and dissimilarities among different customers tastes. In this paper, we design and build a Recommend System using the historical customer movie purchase transactions and extracts the knowledge needed to make association recommendations to new customers.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.162-165
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• 1996

In this paper, we proposed an optimization method of the membership function and the numbers of fuzzy rule base for the stabilization controller of the inverted pendulum system by genetic algorithm(GAs). Conventional methods to these problems need to an expert knowledge or human experience. The proposed genetic algorithm method will tune automatically the input-output membership parameters and will optimize their rule-base.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2000.05a
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• pp.161-165
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• 2000

최근 통신 기술과 컴퓨터 기술의 괄목할 만한 발전으로 가장 않은 연구의 초점이 되고 있는 것은 인터넷을 이용하여 거래하는 전자거래이다 따라서 실세계의 상거래를 사이버 스페이스에서 구현할 수 있도록 하는 한 가지의 기술로서 인공지능을 이용하여 모델링하는 방법이다. 본 논문에서는 전자거래(EC) 컴퍼넌트형 지식 기반의 지능 에이전트 유형을 제시하고, 특히 기존의 전문가 시스템의 추론 엔진에 다층의 지식 기반과 정보처리 엔진을 이용하여 에이전트 상호간에 효율적이고 유기적인 활용 방안을 제안한다. 또한 컹색 에이전트에 필요한, 고객 만족을 위한 상품 검색의 이론적 모델을 설계한다.

• Mycobiology
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• v.49 no.2
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• pp.196-200
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• 2021

In May to July 2019, ovate-leaf atractylodes seedling and plant with Damping-off symptoms were observed in farmer field at Sangju and Mungyeong, Korea. Seven fungal isolates have been retrieved from diseased root tissue and identified as Rhizoctonia solani AG-5 based on morphological and molecular characteristics. To the best of our knowledge, this is the first report on damping-off of ovate-leaf atractylodes caused by R. solani AG-5 in South Korea.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1109-1113
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• 1993

A refuse incineration plant is a complex process, whose multi-variable control problems can not be solved conventionally by deriving an exact mathematical model of the process. The usage of advanced fuzzy technologies within the suitable development methodology is demonstrated by a controller implemented for the refuse incineration plant in Hamburg-Stapelfeld, Germany.

• Journal of the Korean Society of Systems Engineering
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• v.14 no.1
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• pp.72-82
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• 2018

Generally speaking, because of complexity of engineering process, the systems engineering may be not easy to understand clearly and not easy to perform also. The status of systems engineering infrastructure of the some Korean industry is not matured yet, i.e., the systems engineering process, method, tool and environment is not implemented consistently within the steel making industry. These difficulties are more severe at the concept and basic design phase than the detail design phase relatively. Korean industry has lots of development project for the precedented systems and usually has matured domain knowledge for the precedented systems. Even though there is a mature domain knowledge of the precedented systems, the development project will lead to failure under the condition of engineering system is not well equipped. For the project success, it is very important to have a proper engineering execution system especially for the concept design and basic phase, which has a high abstraction and a large influence on the whole project. This paper proposes a minimized design process that can be easily applied to the concept and basic design phase of the precedented systems, instead of complex system engineering processes. This paper also proposes the application case of the minimized design process and methods for a Blast Furnace System.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.1
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• pp.7-11
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• 2013

Taking experts' knowledge to recommend items has shown some promising results in recommender system research. In order to improve the performance of the existing recommendation algorithms, previous researches on expert-based recommender systems have exploited the knowledge of a common expert group for all users. In this paper, we study a problem of identifying personalized experts within a user group, assuming each user needs different kinds and levels of expert help. To demonstrate this idea, we present a framework for using Support Vector Machine (SVM) to find varying expert groups for users; it is shown in an experiment that the proposed SVM approach can identify personalized experts, and that the person-alized expert-based collaborative filtering (CF) can yield better results than k-Nearest Neighbor (kNN) algorithm.

• Journal of Intelligence and Information Systems
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• v.14 no.4
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• pp.1-18
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• 2008

By using previous similar case plans, the case-based planning (CBP) systems can generate efficiently plans for new problems. However, most existing CBP systems show limited functionalities for case retrieval and case generalization. Moreover, they do not allow their users to participate in the process of plan generation. To support efficient memory use and case retrieval, the proposed case-based planning system, JCBP, groups the set of cases sharing the same goal in each domain into individual case bases and maintains indexes to these individual case bases. The system applies the heuristic knowledge automatically extracted from the problem model to the case adaptation phase. It provides a sort of case generalization through goal regression. Also JCBP can operate in an interactive mode to support a mixed-initiative planning. Since it considers and utilizes user's preference and knowledge for solving the given planning problems, it can generate solution plans satisfying more user's needs and reduce the complexity of plan generation.

• The Journal of Information Systems
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• v.18 no.4
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• pp.59-86
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• 2009

Data modeling can be regarded as a series of processes to abstract real-world business concerns. The conceptual modeling phase is often regarded as the most difficult stage in the entire modeling process, because quite different conceptual models may be produced even for similar business domains based on users' varying requirements and the data modelers' diverse perceptions of the requirements. This implies that an object considered as an entity in one domain may be considered as an attribute in another, and vice versa. However, many traditional knowledge-based automated database design systems unfortunately fail to construct appropriate Entity-Relationship Diagrams(ERDs) for a given set of requirements due to the rigid assumption that an object should be classified as an entity if it has been classified as an entity in previous applications. In this paper, we propose an alternative automation system which can generate ERDs from business descriptions using association rule mining technique. Our system can be differentiated from the traditional ones in that our system can perform data modeling only based on business description written by domain workers, rather than relying on any kind of knowledge base. Since the proposed system can produce various versions of ERDs from the same business descriptions simultaneously, users can have the opportunity to choose one of the ERDs as being the most appropriate, based on their business environment and requirements. We performed a case study for personnel management in a university to evaluate the practicability of the proposed system This paper summarizes the result of it in the experiment section.