• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.1-16
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• 2011

In this paper, we proposed the Failure-Diagnostic Context-awareness Middleware (FDCM) for improving the reliability in the USN application service. The middleware diagnoses the failure occurred in sensors or facilities in the indoor USN application system. The new middleware suggested in this paper consists of DataManagement module, ContextProvider module, Contextlnterpreter module, ServiceProvider module and DataStorage module. By analysing the data obtained by the interaction between modules through the diagnostic algorithm, the FDCM determines the malfunction of sensors and equipment devices. Then we verified the performance of middleware by using simulation. As a result, the FDCM showed the high performance in the large systems that many of the sensors and devices are installed.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.1-8
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• 2004

In this paper, we propose neural network-based fault diagnosis method to diagnose of sensor in the gas monitoring system. In the proposed method, using thermal modulation of operating temperature of sensor, the signal patterns are extracted from the voltage of load resistance. Also, ART2 neural network is used for fault isolation. The performance and effectiveness of the proposed ART2 neural network based fault diagnosis method are shown by simulation results using real data obtained from the gas monitoring system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.887-888
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• 2013

본 논문에서는 엘리베이터에서 발생할 수 있는 다양한 고장 요소들을 실시간으로 진단하고 일정시간 이상 운행이 정지된 경우 고장으로 판단하여 운행상태를 CAN 통신을 이용하여 원격으로 모니터링이 가능한 시스템을 설계하였다. 엘리베이터 내의 승객 탑승여부 확인, 현재 운행위치, 주요 고장내용을 실시간으로 진단하고 CAN 메시지를 이용 메인 컨트롤러에 송신하고 엔지니어는 서버기반의 어플리케이션을 통해 확인이 가능하도록 하였다. 또한 자동차, 선박 등 전장분야에 적용되고 있는 CAN 프로토콜을 이용하여 통신의 신뢰성을 확보하고 엘리베이터 관련 운행 및 고장 상태 등을 실시간을 파악할 수 있도록 하여 효율적인 엘리베이터 유지보수를 가능하도록 하였다. 설계된 시스템의 성능평가는 시뮬레이션 및 프로토콜 모니터링을 통해 수행하였다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.27 no.7
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• pp.354-361
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• 2015

The building energy audit is an important process when collecting basic information for improving the energy performance of existing buildings. Audit parameters should be associated with the energy performance of the building. Such audit parameters will vary according to an individual building's characteristics and energy consumption patterns, but most building energy audits are performed in the same way. The sensitivity analysis (SA) is a statistical method to quantify the correlation between inputs and outputs that can determine which input is influential to which output. Therefore, an SA can identify influential parameters when applied to building energy analysis. In this paper, we adopted the Morris method to identify building energy audit parameters and performed a Monte Carlo simulation for uncertainty analysis. As a result, this method was able to identify an influential parameter for building energy audits and reduce uncertainty in energy consumption in buildings.

• Journal of KIISE:Information Networking
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• v.31 no.3
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• pp.335-346
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• 2004

In this paper, we present a high-performance fault-tolerant switching networks using a deflection self-routing scheme, and present fault-diagnosis method for the network. We use the facts: 1) Each stage of the Banyan network is arrayed as the sequences of a Cyclic group of SEs. 2) There is the homomorphism between adjacent stages from a view of self-routing, so that all of each Cyclic group is the subgroup of the Cyclic group in the next stage, and there are factor groups due to such subgroup and homomorphism. We provide high-performance fault-tolerant switching networks of which the all links including augmented links are used as the alternate links detouring faulty links. We also present the fault diagnosis scheme for the proposed switching network that provide multiple paths for each input-output pair.

• Journal of the Korea Society for Simulation
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• v.20 no.2
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• pp.77-85
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• 2011

It is believed that the anomalies or diseases of human organs are identified by the analysis of the patterns. This paper proposes a new classification technique for the identification of cancer disease using the proteome patterns obtained from two-dimensional polyacrylamide gel electrophoresis(2-D PAGE). In the new classification method, three different classification methods such as support vector machine(SVM), multi-layer perceptron(MLP) and k-nearest neighbor(k-NN) are extended by multi-boosting method in an array of subclassifiers and the results of each subclassifier are merged by ensemble method. Genetic algorithm was applied to obtain optimal feature set in each subclassifier. We applied our method to empirical data set from cancer research and the method showed the better accuracy and more stable performance than single classifier.

• The Journal of the Acoustical Society of Korea
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• v.21 no.8
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• pp.744-756
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• 2002

The transient acoustic fields formed by a 3.5 ㎒ curved linear array transducer which is commonly used in ultrasonic medical imaging system for diagnosis of abdomen are systematically analyzed to obtain new design parameters for the better acoustic image. In the analysis with an assumption of radiating waveform, element size, radius of curvature, amplitude apodization are considered as parameters giving constitutive relations with the fields. As simulation results, appropriate new parameters with the reduced curvature and elevation aperture and the apodization of Hamming window, which make an improved acoustic beam with lower side lobe levels than a conventional typical transducer, are obtained.

• Proceedings of the KIEE Conference
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• 2006.05a
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• pp.44-47
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• 2006

송전철탑의 접지저항은 승선선로의 내뢰성능 평가에 중요한 파라메타 중 하나이다. 송전선로가 일단 가압된 이후에는 가공지선에 의해 모든 철탑이 병렬 연결되어 철탑 단독의 접지저항 측정은 현실적으로 어려운 문제가 있다. 본 논문에서는 리비아전력청의 협조 하에 가공지선 분리 전후의 220 KV 송전철탑의 접지저항측정을 위하여 수행한 전위강하시험과 컴퓨터 시뮬레이션에 의한 분석결과를 제시함으로써 컴퓨터 모델을 이용한 철탈 접지저항 추정방법의 신뢰성을 검증하고자 한다.

• Proceedings of the KIEE Conference
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• 2004.04a
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• pp.49-51
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• 2004

고전압 기기의 절연물 내부에서 부분방전 현상이 발생되면 절연파괴로 진전된다. 회전기기가 운전중인 상태에서 on-line 부분방전시험은 고정자 권선의 절연상태를 검사, 평가 할 수 있는 중요한 수단으로서 이러한 부분방전시험을 통하여 회전기기 시스템의 사고예방을 위한 진단을 할 수 있다. 부분방전 펄스는 10MHz $\sim$ 1GHz의 대역폭을 갖는 것으로 알려져 있으며, 이러한 고주파 대역의 전자파 에너지의 효과적인 검출을 위한 센서 중 하나로 웨이브가이드 구조의 고주파 검출센서가 존재한다. 기존의 전자기적 에너지를 검출하는 SSC (Stator Slot Coupler)센서를 한쪽 포트를 가지는 마이크로스트립센서 형태로 사용할 경우 접지면이 도체전체로 씌워져 있고 임피던스 정합을 위한 50옴의 칩저항이 신호라인과 접지사이 루프를 형성하여 기기 운전시 기기의 성능에 영향을 미칠 수 있는 단점을 가지고 있다. 이 단점을 보완하기 위해서 본 논문에서는 회전기내 부분방전 펄스의 전자기적 에너지를 검출할 수 있는 2선 평행 전송선로 라인을 응용한 부분방전 검출 센서를 제안하였고 시뮬레이션을 통해 성능을 입증하였다. 제안된 센서의 성능을 입증하기 위하여 2선 평행 전송선로 타입의 센서와 기존의 SSC (Stator Slot Coupler) 센서를 약간 변형시킨 마이크로 스트립 센서를 고정자 슬롯의 Wedge 부착한 후 두 센서 비교 분석하였다. 결과적으로 제안된 센서는 기존 SSC 타입의 마이크로스트립 센서에 비하여 더 간단한 형상을 가지며 운전 중 기기의 성능에 영향을 덜 미치는 효과를 얻을 수 있었다.

• Journal of the Microelectronics and Packaging Society
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• v.29 no.4
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• pp.55-61
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• 2022

There is a major interest in diagnostic technology for multiple cancers worldwide. In order to reduce the difficulty of cancer diagnosis, a liquid biopsy technology based on a microfluidic device using trace amounts of biofluids such as blood is being studied. And optical biosensing, which measures the concentration of analytes through fluorescence imaging using biofluids, requires various strategies to improve sensitivity, and specialists and equipment are needed to carry out these strategies. This leads to an increase in diagnostic and production costs, and it is necessary to develop a technology to solve this problem. In this paper, we design and propose a fluorescent multi-cancer diagnostic sensing platform structure that implements passive self-separation technology and molecular recognition activation functions by fluid mixing, only with the geometry and microfluidic phenomena of microchannels based on self-driven flow by capillary force. In order to check the parameters affecting the performance of the plasma separation part of the designed sensor, the hydrodynamic diameter of the channel and the viscosity of the fluid were set as variables to confirm the formation of plasma separation flow through simulation. And finally, we propose an optimal sensor platform structure.