• Journal of Korean Institute of Industrial Engineers
• /
• v.23 no.2
• /
• pp.249-260
• /
• 1997

The manufacturing environment is rife with nonlinear processes. In this context, an intelligent production controller should be able to predict the dynamic behavior of various subsystems as they react to transient environmental conditions, the varying internal condition of the manufacturing plant, and the changing demands of the production schedule. This level of adaptive capability may be achieved through a coherent methodology for a learning coordinator to predict nonlinear and stochastic processes. The system is to serve as a real time, online supervisor for routine activities as well as exceptional conditions such as damage, failure, or other anomalies. The complexity inherent in a learning coordinator can be managed by a modular architecture incorporating case based reasoning. In the interest of concreteness, the concepts are presented through a case study involving a knowledge based robotic system.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2001.01a
• /
• pp.164-168
• /
• 2001

This paper introduces an agent system that assists in user's work on the Internet. First, the agent receives requests from the user or other agents. Since there are various kinds of requests, it is difficult to describe a completes set of request -handling rules in advance. Therefore, the agent makes a plan referring to old cases. The agent executes the plane which is a sequence of basic operation. If the agent fails to execute basic operation or to create a plan. then it makes a new plan by interacting with the user or other agent. Finally the agent stores this new case with user's evaluation score into the case base.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2003.05a
• /
• pp.23-35
• /
• 2003

회전기계의 결함발생은 기계의 여러 상태변화에 의한 결과이며, 이 때 발생하는 증상(현상) 또한 다양하고 복잡하기 때문에 기계의 특성을 파악하고 원인을 추정하기 위해서는 매우 전문적인 지식과 오랜 경험이 필요하다. 실제 산업현장에서 사용되는 각종 회전기계들은 고성능화, 복잡화 및 전문가의 부족으로 인해, 결함발생 시 원인과 발생현상의 관계를 명확히 표현하기에는 어려움이 있다. 이에 최근에는 진단에 관한 전문적인 지식을 구조적으로 표현할 수 있는 전문가 시스템(expert system)의 도입을 위한 연구가 활발히 이루어지고 있다.(중략)

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.14 no.3
• /
• pp.81-88
• /
• 2014

These days the researches using IT technologies have been done to decrease the traffic accident. Especially, the optimal safety speed considering the weather conditions have to be calculated in real time to protect the traffic accident on the high way in the case of the rain and snow. In this paper, we have simulated the automatic warning broadcasting system for the freezing and foggy regions based on Web to protect the traffic accident. Also, we have developed the simulator that can provide the drivers with the optimal safety speed in real time to protect the traffic accident even under the worst weather conditions using the Fuzzy Reasoning rules.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.20 no.44
• /
• pp.485-496
• /
• 1997

To develop an Enterprise Data Model in Information Strategy Planning, it is essential that we first decide on the critical entities that need to be consistently managed in the enterprise. Identifying entities is a very crucial decision that has much influence on the subsequent phases in Information Engineering. Nevertheless, it is very subjective and usually depends on a decision makers experience and his/her own knowledge. In this paper, we propose a decision support system called CB*IMSS, which employs Case-Based Reasoning as the problem solution technique. By retrieving, analyzing and adapting some similar previous cases with a decision makers enterprise situations, this system can help them identify and decide the critical entities required for successful performance of the ISP.

• Journal of Korean Institute of Industrial Engineers
• /
• v.36 no.4
• /
• pp.230-242
• /
• 2010

In this paper, an environmental monitoring and diagnosis system based on ubiquitous computing technology, shortly u-Eco Monitoring System, is proposed. u-Eco Monitoring System is designed to: 1) Collect information from the manufacturing processes via ubiquitous computing technology, 2) Analyze the current status, 3) Identify the cause of problem if detected by rule-based and case-based reasoning, and 4) Provide the results to the operator for proper decision making. Based on functional modeling, a generic architecture is derived, followed by application to a manufacturing system in iron and steel making industry. Finally, to show the validity of the proposed method, a prototype is developed and tested. The developed methods can be used as a conceptual framework for designing environmental monitoring and diagnosis system for industrial practices by which monitoring accuracy and response time for abnormal status can be significantly enhanced, and relieving operator pressure from manual monitoring and error-prone decision making.

• The Journal of Society for e-Business Studies
• /
• v.6 no.3
• /
• pp.63-80
• /
• 2001

The construction of the students knowledge in e-Learning systems, namely the student modeling, is a core component used to develop e-Learning systems. However, existing e-Learning systems have many problems to share the knowledge in a heterogeneous student model and a distributed knowledge base. Because the methods of the knowledge representation are different in each e-Learning systems, the accumulated knowledge cannot be used or shared without a great deal of difficulty. In order to share this knowledge, existing systems must reconstruct the knowledge bases. Consequently, we propose a new a Case Markup Language based on XML in order to overcome these problems. A distributed e-Learning systems fan have the advantage of easily sharing and managing the heterogeneous knowledge base proposed by CaseML. Moreover students can generate and share a case knowledge to use the communication protocol of agents. In this paper, we have designed and developed a CaseML by using a knowledge markup language. Furthermore, in order to construct an intelligent e-Learning systems, we have done our research based on the design and development of the intelligent agent system by using CaseML.

• Proceedings of the KAIS Fall Conference
• /
• 2003.11a
• /
• pp.191-194
• /
• 2003

Product factory is a real-time financial product design system for the Internet customers. Recently, as the number of the Internet customers increases, the importance of the product factory becomes more emphasized. However, there is not much research performed regarding its definition, properties, requirements, nor implementation. In this research, we make a clear definition of product factory, and analyze the requirements of the system from the perspectives of functions and services, and we propose an architecture that reflects the analyzed requirements. In additions, we implemented a prototypical system based on the proposed architecture to prove the usefulness of this research.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.3
• /
• pp.95-103
• /
• 2007

Existing human resources dispatch systems face various limits for managing increasing information derived from the work-place as it required much time managing the basic data created at the work-place and the data input methods are complicated. This study focuses on how to solve the above mentioned problems by utilizing the cellular phone system, which provides vital connection between the organizations using the dispatched human resources and the resources. The study offers building of a necessary work history data base and its management through development of a mobile human resources dispatch system. In order to optimally place the given resources, the system utilizes deductive analytical process. Utilizing the intelligent, deductive analytical process in properly planning the placing of the right human resources to do the job will result satisfaction in human resources dispatch and management.

• Journal of Korean Society for Geospatial Information Science
• /
• v.16 no.3
• /
• pp.87-94
• /
• 2008

In this study, deals with selection of monitoring objects to handle emergency cases of multi-modal transfer stations and information required for emergency surveillance, recognition, verification, propagation, processing and situation closing. Furthermore, this article suggests integrated management scheme for the above information and methods which offer appropriate information required for situation handling decisions at each stage of situation changes. The transfer station which consists of facilities, passengers, and transportations has limitations in required monitoring information. So, for the situation recognition and handling strategy, case-based reasoning of the expert system was used to apply experience, knowledge, and past cases of situation handling experts. The article also suggests methods to control facilities which are operated at transfer stations and these methods can minimize spatial confusions and damages at the emergency situation. The real time situation information will be shared by proper facility controls to support services from external institutions.