• 한국산학기술학회논문지
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• 제14권4호
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• pp.1568-1575
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• 2013

자동차의 유지보수 및 수리를 위한 장비에서 환경오염에 대한 관심이 증대되고 있음에도 불구하고, 국내 자동차 공조시스템에 대한 대부분의 이러한 장비는 환경오염에 대해 무관심뿐만 아니라 그 기능도 뒤떨어진 것이 사실이다. 이 논문에서는 자동차 공조시스템의 냉매의 회수 및 재충전을 위한 모니터링 기술과 진단 시스템을 개발하였다. 이러한 개발된 기술과 시스템은 냉매상태의 정확한 진단과 모니터링을 통하여 자동차 공조시스템에 정확한 냉매량을 충전가능하게 해준다. 또한 이러한 기술은 주변 온도에 따라서 냉매의 회수압력을 조절함으로서 냉매의 회수와 충전에 대한 정확한 제어를 가능하게 해준다.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권9호
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• pp.556-558
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• 2005

The effect of high irradiation on inspection systems in a nuclear power plant can be severe, especially to electronic components such as control hoards. The effect may lead to a critical malfunction or trouble to a underwater robot for inspection and maintenance of nuclear reactor. However, if information on the total accumulated dose on the sensitive parts of the robot is available, a prediction of robot's behavior in radiation environments becomes possible. To know how much radiation the robot has encountered, a dosimeter to measure the total accumulated dose is necessary. This paper describes the development effort of a dual radiation monitoring system using a SiC diode as a dose-rate meter and a p-type power MOSFET as a dose meter. This attempt using two sensors which detect same radiation improves reliability and stability at high intensity radiation detection in nuclear facilities. It uses the concept of diversity and redundancy.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.135-146
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• 2023

An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.