• NEWSLETTER 전기공업
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• no.98-2 s.195
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• pp.19-27
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• 1998

• Nuclear industry
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• v.30 no.4
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• pp.42-43
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• 2010

• The Journal of Aerospace Industry
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• s.61
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• pp.83-100
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• 2002

• 전기산업
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• v.13 no.8
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• pp.12-20
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• 2002

• NEWSLETTER 전기공업
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• no.95-20 s.141
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• pp.41-44
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• 1995

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.2
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• pp.29-39
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• 2018

In this paper, we discuss a discrete-time queueing system with dyadic server control policy that combines workload control and multiple vacations. Customers arrive at the system with Bernoulli arrival process. If there is no customer to serve in the system, an idle single server spends a vacation of discrete random variable V and returns. The server repeats the vacation until the total service time of waiting customers exceeds the predetermined workload threshold D. In this paper, we derived the steady-state workload distribution of a discrete-time queueing system which is operating under a more realistic and flexible server control policy. Mean workload is also derived as a performance measure. The results are basis for the analysis of system performance measures such as queue lengths, waiting time, and sojourn time.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.47-54
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• 2024

The global decrease in traditional energy resources has prompted increasing energy demand, necessitating efforts to replace and optimize energy sources. This study focuses on enhancing energy efficiency in manufacturing plants, known for their high energy consumption. Through simulations and analyses, the study proposes a temperature-based control system for HVAC (Heating, Ventilating, and Air Conditioning) operations, utilizing machine learning algorithms to predict and optimize factory temperatures. The results indicate that this approach, particularly the prediction-based free cooling algorithm, can achieve over 10% energy savings compared to existing systems. This paper presents that implementing an efficient HVAC control system can significantly reduce overall factory energy consumption, with plans to apply it to real factories in the future.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.1
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• pp.112-115
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• 2003

Robust control for servo control system in needed according to the highest precision of industrial automation. However, when a servo control system has an effect of disturbance, it is very difficult to guarantee the robustness of control system. As a compensation method solving this problem in this paper, Hybrid control method of Main controller(PIU)-Differential Supervisory controller is presented. Main controller is operated as a feedback controller. Differential Supervisory controller as a assistant controller is operated when state in unstable disturbance. The robust control function of Differential Supervisory controller is demonstrated by Speed control of Motor.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.1-2
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• 2011

최근 많은 분야에 무인시스템이 도입되고 있다. 초기에는 산업분야에서 인간이 하기 힘들거나 위험한 작업을 대신하는 단순 반복적인 자동화기술이 대부분이었으나, 최근에는 전자통신 기술발달에 힘입어 무인자동차, 무인항공기, 무인잠수정, 무인선박 등이 연구 개발되고 있다. 본연구에서는 자율형 소형무인선을 개발하고자 하였으며, 이와 관련하여 인터넷기반의 무선통신제어, 동력 추진 조타 냉각시스템, GPS 영상 헤딩센서 등 센싱시스템, 자율운항을 위한 제어기설계, GUI 등을 연구하였다. 아울러, 해상실험을 통해 유효성을 검증하였다.

• ICROS
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• v.3 no.3
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• pp.36-48
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• 1997

본 원고에서는 극 좌표계를 기준으로 하여 추정기를 구성함으로써 속도 검출기가 없는 유도전동기의 회전자 자속 및 회전 속도를 정확히 추정해 내고, 다시 이 정보를 이용하여 유도전동기를 고성능으로 제어할 수 있는 드라이브 시스템의 구현 과정과 이를 이용한 간단한 실험 결과에 대하여 소개하였다. 본 원고에서 제시한 몇가지의 실험 결과들은 소프트웨어의 알고리즘에 의하여 전동기의 회전축에 부착된 속도 검출기는 충분히 대치될 수 있음을 말해주는 것이므로, 속도 검출기가 가격과 내구성 등에서 실제적으로 산업 현장에 적용하기에 많은 문제점을 안고 있다는 점을 감안할 때 그 유용성을 입증하는 것이다.