• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.463-470
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• 2009

In this paper, we propose the advanced fire-flame detection algorithm using camera image for better performance than previous sensors-based systems which is limited on small area. Also, previous works using camera image were depend on a lot of heuristic thresholds or required an additional computation time. To solve these problems, we use statistical values and divide image into blocks to reduce the processing time. First, from the captured image, candidate flame regions are detected by a background model and fire colored models of the fire-flame. After the probability models are formed using the change of luminance, wavelet transform and the change of motion on time axis, they are used for membership function of fuzzy logic. Finally, the result function is made by the defuzzification, and the probability value of fire-flame is estimated. The proposed system has shown better performance when it compared to Toreyin's method which perform well among existing algorithms.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.15 no.5
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• pp.382-388
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• 2003

Refrigerant flow rates of the multi-type air-conditioning system can be regulated by electronic expansion valves (EEV). The performance of the multi-type air-conditioning system may be improved by lowering the superheat at the compressor suction side. In this study, a superheat temperature setpoint reset algorithm was developed by using fuzzy logics, and a PI algorithm was applied to control the superheat temperature near setpoints. Experimental results showed energy savings and stable operations at a multi-type air-conditioning system. Therefore, the developed setpoint reset algorithm may be effectively used for the EEV superheat temperature control of the multi-type air-conditioning system.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.251-252
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• 2008

Type-2 퍼지 집합은 Type-1 퍼지 집합에서는 다루기 어려운 언어적인 불확실성을 더욱 효과적으로 다룰 수 있다. TSK 퍼지 로직 시스템(TSK Fuzzy Logic Systems; TSK FLS)은 후반부를 1차 및 2차 함수식으로 나타내며 Mamdani 모델과 함께 가장 널리 사용되는 모델이다. 본 연구의 Interval Type-2 TSK FLS은 전반부에서 Type-2 퍼지 집합을 이용하고 후반부는 계수가 Type-1 퍼지집합인 1차식을 사용한다. 또한 전반부는 가우시안 형태의 Type-2 멤버쉽 함수를 사용하며, 오류역전파 학습알고리즘을 사용하여 파라미터들을 최적화 한다. 또한 학습에 앞서 PSO(Particle Swarm Optimization) 알고리즘을 사용하여 최적 학습률을 찾아 모델의 학습능력을 보다 효율적으로 한다. 본 논문에서는 Type-1과 Type-2 FLS의 성능을 가스로 공정 데이터를 적용하여 두 모델의 성능을 비교하고 노이즈를 추가한 데이터를 이용하여 노이즈에 대한 성능도 비교 분석한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.1
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• pp.21-29
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• 2010

Generally, wind industry has been oriented to large power systems which require large windy areas and often need to overcome environment restrictions. However, small-scale wind turbines are closer to the consumers and have a large market potential, and much more efforts are required to become economically attractive. In this paper, a prototype of a small-scale urban wind generation system for battery charging application is described and a fuzzy logic based MPPT(Maximum Power Point Tracking) algorithm which can be effectively applied to urban wind turbine system is proposed. Through Matlab based simulation studies and actual implementation using DSP of the proposed algorithm, the feasibility of the proposed scheme is verified.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.38 no.6
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• pp.26-37
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• 2001

In order to improve the several problems of the general backpropagation, we propose a method using a fuzzy logic system for automatic tuning of the activation function gain in the backpropagation. First, we researched that the changing of the gain of sigmoid function is equivalent to changing the learning rate, the weights, and the biases. The inputs of the fuzzy logic system were the sensitivity of error respect to the last layer and the mean sensitivity of error respect to the hidden layer, and the output was the gain of the sigmoid function. In order to verify the effectiveness of the proposed method, we performed simulations on the parity problem, function approximation, and pattern recognition. The results show that the proposed method has considerably improved the performance compared to the general backpropagation.

• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.58-59
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• 2017

본 논문은 고에너지 밀도와 고출력 특성의 이종 배터리를 이용한 HBESS (Hybrid Battery Energy Storage System) 설계방안과 퍼지 로직 기반의 제어 알고리즘을 개발한다. 시스템의 전력 수요 특성을 고려하여 이종 배터리의 최적 용량을 산정하고 HBESS의 구성 방안을 제안한다. 내부 상태에 따라 변화하는 배터리 특성을 효과적으로 반영하기 위하여 퍼지 논리 기반의 시스템 제어 알고리즘을 도입한다. 본 연구의 타당성은 실제 전력 수요 프로파일 기반의 시뮬레이션을 통하여 검증한다.

• 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 Institute of Intelligent Systems Conference
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• 2007.04a
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• pp.185-188
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• 2007

본 논문은 하이브리드용 자동차의 리튬 이온 전지의 사이클 라이프에 따른 용량의 감소를 예측하고 잔량을 예측하기 위한 지능형 스마트 모듈의 설계를 제안한다. 리튬 이온 전지는 충 방전 횟수에 따라 전하를 담을 수 있는 용량이 감소하고, 방전 전압이 비선형이므로 정확한 잔량 예측이 어렵다. 따라서, 지능형 스마트 모듈은 전압과 전류, 온도의 측정을 위한 데이터 수집 장치를 제작하고 퍼지 로직을 이용한 잔량 측정 알고리즘을 통해 정확도가 높은 리튬 이온 전지의 잔량을 예측하고, 충 방전 실험 값과 퍼지 로직을 이용한 결과 값의 비교를 통해 그 효용성을 보인다.

• Proceedings of the SAREK Conference
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• 2004.11a
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• pp.87-87
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• 2004

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.67-72
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• 2006

A car became that is essential already, and enjoy convenient benefit still more according as car skill is developed in modern's life. But, threaded other additional systems to use a car little more conveniently and representative thing is Navigation. Current Navigation system is not escaping greatly in mechanical system that do only unilateral guidance. Wish to propose about intelligence style Navigation that foretell driver's inclination and guide correct route to him because this treatise takes advantage of fuzzy logic. Verify algorithm that propose oriented Navigation algorithm the future that do path guidance by user's inclination within extent that do not escape greatly in most important final cause fast path proposition of Navigation and is proposed through an experiment.