• 한국임상수의학회지
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• 제26권4호
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• pp.376-378
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• 2009

2007년 8월 26일 생인 7개월된 숫송아지에게 음경전위술을 실시했다. 음경의 방향을 바꿔 정상적인 교미를 불가능하게 함으로써 경산우와 처녀우군에 도입이 되면 후각을 이용하여 발정을 탐지하게 되고 수의사에게 인공수정 혹은 수정란이식의 최적시간을 제공하게 될 것이다. 본 보고는 어린 숫송아지에게 실시되는 음경전위술법을 설명한 것이다.

• 전기학회논문지P
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• 제65권1호
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• pp.47-52
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• 2016

Fault location identification in the transmission line is an essential part of quick service restoration for maintaining a stable in power system. The application of digital schemes to protection IEDs has led to the development of digital fault locators. Normally, the impedance measurement had been used to for the location detection of transmission line faults. It is well known that the most accurate fault location scheme uses two-ended measurements. This paper deals with the complete design of a fault locator using GPS time-synchronized phasor for transmission line fault detection. The fault location algorithm uses the transmitted relaying signals from the two-ended terminal. The fault locator hardware consists of a Main Processor Unit, Analog Digital Processor Unit, Signal Interface Unit, and Power module. In this paper, sample real-time test cases using COMTRADE format of Omicron apparatus are included. We can see that the implemented fault locator identified all the test faults.

• 한국지능시스템학회논문지
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• 제20권1호
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• pp.60-65
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• 2010

본 논문은 모바일 로봇에 장착된 스테레오 카메라의 영상에서 주변 환경에 대한 지도를 작성하기 위해 특징 검출 및 매칭 그리고 2D 지도 작성의 결과를 기술한다. 영상의 특징을 추출하는 방법은 실시간으로 프로세싱하기 위해서 빠른 연산이 가능한 에지 검출과 차 영상을 이용한 특징을 스테레오 매칭 기법을 통해 상관계수를 구할 수 있다. 이동 로봇의 위치를 추정하기 위해 ZigBee를 이용한 비컨과 로봇에 장착된 엔코더를 칼만 필터를 통해 추정한다. 또한 방위를 측정할 수 있는 자이로 센서를 병합하여 모바일 로봇이 이동하면서 지도를 작성할 수 있게 한다. 이는 이동 로봇의 SLAM 기술과 더불어 지능형 로봇이 인간 생활에서 효과적으로 적용될 수 있는 기반이 될 것이다.

• 산업경영시스템학회지
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• 제41권2호
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• pp.74-83
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• 2018

It is very crucial activities that Korean army have to detect and recognize enemy's locations and types of weapon of their artillery firstly for effective operation of friendly force's artillery weapons during wartime. For these activities, one of the most critical artillery weapon systems is the anti-artillery radar (hereafter; radars) for immediate counter-fire operations against the target. So, in early wartime these radar's roles are very important for minimizing friendly force's damage because arbiters have to recognize a several enemy's artillery positions quickly and then to take an action right away. Up to date, Republic of Korea Army for tactical artillery operations only depends on individual commander's intuition and capability. Therefore, we propose these radars allocation model based on integer programming that combines ArcGIS (Geographic Information System) analysis data and each radar's performances which include allowable specific ranges of altitude, azimuth (FOV; field of view) and distances for target detection, and weapons types i.e., rocket, mortars and cannon ammo etc. And we demonstrate the effectiveness of their allocation's solution of available various types of radar asset through several experimental scenarios. The proposed model can be ensured the optimal detection coverage, the enhancement of artillery radar's operations and assisting a quick decision for commander finally.

• 한국컴퓨터정보학회논문지
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• 제12권1호
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• pp.127-135
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• 2007

인터넷의 광범위한 보급에 따라 컴퓨터를 이용한 불법적인 범죄가 증가하고 있고, 이러한 범죄를 막기 위한 정보보호 기술자체가 국가의 경쟁력이 되어 가고 있다. 본 논문에서는 퍼지 논리를 네트워크 침입탐지시스템에 적용하여 보안 전문가와 유사한 결과를 얻을 수 있는 자동화된 퍼지 논리기반의 침입탐지시스템을 제안한다. 프로토콜의 유사성과 시간적인 연속성을 통한 세션화된 패킷분류방식을 통한 퍼지 규칙을 본 시스템에 적용함으로서 다양하고 다변적인 공격패턴으로부터 신속한 침입 판정을 내릴 수 있다. 또한, 대용량의 네트워크 트래픽을 처리해야하는 현재의 네트워크 환경에서, 퍼지추론을 통한 자동화된 트래픽의 프로토콜별/세션별 분석결과를 보여 줌으로써 보안전문가들의 분석 시간과 비용을 절감할 수 있는 장점을 제공한다.

• Journal of Mechanical Science and Technology
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• 제19권12호
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• pp.2197-2204
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• 2005

The combination of Gas chromatography (GC) for separation and Flame Ionization Detection (FID) for detection and identification of the components of a mixture of compounds is a fast and strongly proved method of analytic chemistry. The objective of this research was to design a combined High-speed miniature screening Gas chromatograph along with a Flame Ionization Detector for quick, quantitative and qualitative analysis of gas components. This combined GC-FID system is suitable to detect the volatile and semi-volatile hydrocarbons present in a gas mixture. The construction made it less expensive, easy to use and movable. The complete gas path was developed. On/off valves, temperature and flow sensors and their interface electronics were used for controlling purpose. A Microcontroller was programmed to measure the temperature and gas flow using the sensors and to control and regulate them using the electronics and valves. A pocket PC with its touch screen served as a user interface for the system. Software was developed for the pocket PC, which makes the communication possible with the Microcontroller. The system parameters can be indicated in the Pocket PC as simple text and also the analysis result can be displayed.

• 센서학회지
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• 제32권4호
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• pp.207-212
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• 2023

H₂S is a toxic and harmful gas, even at concentrations as low as hundreds of parts per million; thus, developing an H₂S sensor with excellent performance in terms of high response, good selectivity, and fast response time is important. In this study, an H₂S sensor with a high response and fast response time, consisting of a sensing material (SnO₂), an electrode, a temperature sensor, and a micro-heater, was developed using micro-electro-mechanical system technology. The developed H₂S sensor with a micro-heater (circular type) has excellent H₂S detection performance at low H₂S concentrations (0-10 ppm), with quick response time (<16 s) and recovery time (<65 s). Therefore, we expect that the developed H₂S sensor will be considered a promising candidate for protecting workers and the general population and for responding to tightened regulations.

• 한국지하수토양환경학회지:지하수토양환경
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• 제14권2호
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• pp.45-53
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• 2009

환경 시료 (토양 및 수질)내 화약물질을 신속하고 간편하게 검출할 수 있다면, 현장조사에서 오염도 조사를 위한 스키리닝 단계로 이용하여 불필요한 시료의 갯수와 고가의 실험실 정량분석비용을 줄일 수 있다. 상용 EXPRAY$^{(R)}$ Explosives Field Detection Kit(EXPRAY)를 이용하여 14종의 화약물질을 대상으로 화약물질 표준용액에 대한 최저검출농도를 결정 하고 및 준정량화 가능성을 확인하기 위한 실험을 실시하였다. 실험결과 EXPRAY는 14종의 화약물질 중에서, TNT, RDX, HMX, Tetryl및 TNB등 5종의 화약물질을 검출할 수 있었다. Nitramine계열인 HMX와 RDX에 대한 최저검출농도는 모두 14ng/mm$^2$이었다 EXPRAY는 nitroaromatic계열에는 더욱 민감하게 반응하여, Tetryl, TNB및 TNT에 대한 단위면적당(mm$^2$)최저 검출량이 각각 3ng, 3ng및 0.3ng이었다. 실험이 통제되는 조건에서 화약물질 표준용액에 EXPRAY를 적용하였을 경우에는 발색 강도의 비교를 통해 10배 단위의 준정량화가 가능하였다. 그러나 오염토양으로 실험한 경우에는 화약물질의 존재여부 및 종류만을 확인할 수 있었다. EXPRAY Explosives Detection Kit$^{(R)}$가 화약물질을 검출할 수 있는 경제적이고 민감한 방법이지만, 현장시료의 스크리닝 단계에만 적용할 수 있는 방법이다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.3073-3078
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• 2011

Driverless Train Control System has been recently introduced and commercialized in Korea. It is expected that the vehicle with driverless operation system will be used in new lines such as Sinbundang line soon. Therefore it is necessary to change the system operation and conception of the existing train operation system and the necessity of driverless vehicle monitoring system meeting a new paradigm is rising. In order to dispel concerning about safety issues caused by driverless train operation, the importance to establish vehicle error detection, useful fault diagnosis and rapid action plans is higher than ever. For this, efficient and higher level of vehicle supervision & control system should be essentially supported. In this study, remote driverless vehicle monitoring system using by radio communication is suggested to be used for monitoring and controlling important parts of the vehicle and diagnose and take quick actions when vehicles are in trouble at control tower at real time.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 추계학술대회논문집
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• pp.411-416
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• 2006

Fault detection and diagnosis is the most important technology in condition-based maintenance(CBM) system that usually begins from collecting signatures of running machines using multiple sensors for subsequent accurate analysis. With the quick development in industry, there is an increasing requirement of selecting special sensors that are cheap, robust, and easy-installation. This paper experimentally investigated performances of four types of sensors used in induction motors faults diagnosis, which are vibration, current, voltage and flux. In addition, diagnostic effects of five popular classifiers also were evaluated. First, the raw signals from the four types of sensors are collected at the same time. Then the features are calculated from collected signals. Next, these features are classified through five classifiers using artificial intelligence techniques. Finally, conclusions are given based on the experiment results.