• 물과 미래
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• 제25권4호
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• pp.31-36
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• 1992

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1998년도 학술발표회 논문집
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• pp.259-264
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• 1998

• 과학과기술
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• 제22권7호통권242호
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• pp.80-83
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• 1989

• 대한가정학회:학술대회논문집
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• 대한가정학회 2002년도 제55차 정기총회 및 추계학술대회
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• pp.80-80
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• 2002

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1999년도 학술발표회 논문집
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• pp.535-540
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• 1999

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 1999년도 학술발표회 논문집
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• pp.93-98
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• 1999

• 패션정보와 기술
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• 제5권
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• pp.27-34
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• 2008

• 정보처리학회지
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• 제28권4호
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• pp.4-13
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• 2021

• ETRI Journal
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• 제27권5호
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• pp.585-594
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• 2005

A small electronic nose (E-Nose) system has been developed using an 8-channel vapor detection array and personal digital assistant (PDA). The sensor array chip, integrated on a single microheater-embedded polyimide substrate, was made of carbon black-polymer composites with different kinds of polymers and plasticizers. We have successfully classified various volatile organic compounds such as methanol, ethanol, i-propanol, benzene, toluene, n-hexane, n-heptane, and c-hexane with the aid of the sensor array chip, and have evaluated the resolution factors among them, quantitatively. To achieve a PDA-based E-Nose system, we have also elaborated small sensor-interrogating circuits, simple vapor delivery components, and data acquisition and processing programs. As preliminary results show, the miniaturized E-Nose system has demonstrated the identification of essential oils extracted from mint, lavender, and eucalyptus plants.

• 센서학회지
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• 제26권1호
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• pp.1-6
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• 2017

The advanced driver assistant system (ADAS) requires the collection of a large amount of information including road conditions, environment, vehicle status, condition of the driver, and other useful data. In this regard, large-scale sensor networks can be an appropriate solution since they have been designed for this purpose. Recent advances in sensor network technology have enabled the management and monitoring of large-scale tasks such as the monitoring of road surface temperature on a highway. In this paper, we consider the estimation and fusion problems of the large-scale sensor networks used in the ADAS. Hierarchical fusion architecture is proposed for an arbitrary topology of the large-scale sensor network. A robust cluster estimator is proposed to achieve robustness of the network against outliers or failure of sensors. Lastly, a robust hierarchical data fusion scheme is proposed for the communication channel between the clusters and fusion center, considering the non-Gaussian channel noise, which is typical in communication systems.