• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.429-430
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• 2014

본 논문은 돈사 내부의 환기부를 연속적으로 작동한 상태에서 환기부의 입기팬 및 배기팬의 회전수를 감소시키거나 증가시킴으로서 축사 내부로 유입되는 환기량을 조절하고, 이에 따라 환기 운영 시에 축사 내부의 온도 편차를 최소화함과 동시에 유해가스에 의한 돈사 내 공기오염을 방지할 수 있는 지능형 돈사 환기 제어 시스템 설계에 관한 연구이다. 본 시스템에는 온도 측정 데이터를 일정간격으로 저장하고, 저장된 온도 변화의 특성을 추출하여 지능적으로 돈사의 상태를 최적으로 유지할 수 있는 지능형 환기 제어 모델, 사용자의 연령 및 상황을 고려한 가시적이고 직관적인 사용자 위주의 인터페이스 설계가 포함된다.

• Journal of Bio-Environment Control
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• v.10 no.1
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• pp.42-49
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• 2001

This study was carried out to develop a fuzzy control technique of ventilation window for controlling a temperature in a greenhouse. To reduce the fuzzy variables, the inside air temperature shop was taken as one of fuzzy variables, because the inside air temperature variation of a greenhouse by ventilation at the same window aperture is affected by difference between inside and outside air temperature, outside wind speed and the wind direction. Therefore, the antecedent variables for fuzzy algorithm were used the control error and its slop, which was same value as the inside air temperature slop during the control period, and the conclusion variable was used the window aperture opening rate. Through the basic and applicative control experiment with the control period of 3 minutes the optimum ranges of fuzzy variables were decided. The control error and its slop were taken as 3 and 1.5 times compared with target error in steady state, and the window opening rate were taken as 30% of full size of the window aperture. To evaluate the developed fuzzy algorithm in which the optimized 19 rules of fuzzy production were used, the performances of fuzzy control and PID control were compared. The temperature control errors by the fuzzy control and PID control were lower than 1.3$^{\circ}C$ and 2.2$^{\circ}C$ respectively. The accumulated operating size of the window, the number of operating and the number of inverse operating for the fuzzy control were 0.4 times, 0.5 times and 0.3 times of those compared with the PID control. Therefore, the fuzzy control can operating the window more smooth and reduce the operating energy by 1/2 times of PID control.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.1027-1029
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• 2015

Heat exchange ventilation facility is using for heating the inflow outside-air with warm outflow inside-air. Energy cost is saved and respiratory disease caused by temperature difference of air is prevented. In this paper, system for remote control and monitoring of heat exchange ventilation facility is developed. This system is applied in chicken breeding farm, and verification test of performance such as temperature and humidity control and monitoring is conducted. From verification test, temperature control error is measured as under 2degrees around the chicken breeding farm.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.32 no.6
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• pp.49-56
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• 2003

CO2환기제어는 신축건물에서 흔히 사용되고 있지만, 기존의 건물에서는 그 적용 예가 흔하지는 않다. 아마도 개보수라는 것이 가능하다고 여겨지는 자원절감이나 이익에 대한 방대한 기록이 요구되기 때문이며 게다가 제어에 관한 개보수는 복잡하다는 인식에 기인한다. 공교롭게도, 에너지 사용 패턴에 대하 명확한 기록이 있는 기존의 건물에 가장 에너지절약적인 기회가 많다는 사실이다. 이 기고문에서는 기존 건물의 CO2개보수에 관하여 그 성능 평가에 대한 방법론을 제시하고 있으며, 현장 평가와 이 방법론을 적용한 A-등급 사무소 건물에서의 개보수를 통한 성능개선에 관하여 분석하고 있다. 대상은 첨단 DDC시스템이 있는 미국 환경청의 에너지스타 등급을 획득한 건물이다.

• The Journal of the Acoustical Society of Korea
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• v.32 no.1
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• pp.43-55
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• 2013

The window ventilation system based on the heat recovery device was developed which make air ventilation possible without opening the windows. However, mechanical and aerodynamic noises were come to pass which annoyed people in rooms. In the present study, noise of new window ventilation system was measured in both general room and anechoic chamber. Also, the noise path was detected to find cause of noise generation and vulnerable area of the device. Sound absorptive and insulation materials were applied to mitigate the noise. Finally, an alternative noise control method was suggested which can satisfy with the indoor noise standards. As a result, it was shown that the cause of noise was the low transmission loss in the ventilation system. As a result, it was shown that the main noise source of the ventilation system was the blower and the major cause of noise was the low transmission loss of the ventilation system. It is also concluded that the noise levels complies with the noise standards of 40 dBA when 2 mm rubber sheet is applied inside the ventilation system.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.37 no.11
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• pp.720-726
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• 1988

This paper deals with an applicaton of some adaptive algorithms to a heat exchanger using a microcomputer and reviews the experimental results obtained. The heat exchanger prepared for experments was identified as a non-minimum phase system and its exact mathematical models was hardly obtainable with direct computation. Thus, classical strategies, such as PID, needed many trial and errors to determine parameters of the controllers. Furthermore such strategies could not guarantee good performance when system parameters vary. To overcome these difficulties and improve performance, two adaptive methods applicable to a non-minimum phase system were chosen and put to the test. In this paper the performance of adaptive controllers is compared with that of conventional PID controller. The final objective of this paper is to construct a controller readily applicable to industrial processes using a microprocessor.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2011.04a
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• pp.127-129
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• 2011

In the building, controlling temperature is main concern for maintaining fresh environment. To control temperature, phase change material(PCM) can be used as a medium that keeps temperature in certain level. PCM has its own phase change temperature. PCM melts/solidifies while absorbing/releasing the heat. Because of the advantage, PCM can be applied to a air-PCM heat exchanger. In this study, the air-PCM heat exchanger was designed based on the system requirements and experimental analysis was conducted to study on the performance of the heat exchanger.

• Journal of agriculture & life science
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• v.44 no.4
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• pp.69-77
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• 2010

Fuzzy control is widely used for improving temperature control performance as controlling ventilation in greenhouse because the technique can respond more flexibly to the outside air temperature and wind speed. By pre-studied PID and normal fuzzy control this study was performed to obtain the fundamental data that can be established in better greenhouse ventilation control method. The temperature control error by the simple fuzzy control was $1.2^{\circ}C$. The accumulated operating size of the window and the number of operating were 84% and 13, respectively. These showed equivalent control performance with pre-studied result that control error. The accumulated operating size of the window and the number of operating were 75% and 12, respectively. The proposed fuzzy technique was simple control logic method compared with step and PID control methods, but it showed equivalent performance. Therefore, the proposed simple fuzzy control method could be used in micro controller of small programmable memory size and many applications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.113-116
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• 2014

요즘 현대사회는 주거생활을 윤택하게 하기 위해 많은 노력을 기울이고 있다. 특히 지능형 빌딩 시스템이나 가정 자동화 등이 대표적인 예라 할 수 있다. 본 논문에서는 환경에 따라 자동 조절할 수 있는 창문제어장치를 구현하고 실험을 통해 그 신뢰성을 입증하였다. 실내 온도의 변화를 인지하여 창문의 개폐여부를 판정하고, 원격제어를 통해 조작이 가능하도록 거주자 편의에 중점을 두어 설계를 하였다.

• Air Cleaning Technology
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• v.25 no.2
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• pp.26-34
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• 2012