• Journal of Information Processing Systems
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• 제13권3호
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• pp.590-598
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• 2017

Recently, there has been an increase in the number of hazardous events, such as fire accidents. Monitoring systems that rely on human resources depend on people; hence, the performance of the system can be degraded when human operators are fatigued or tensed. It is easy to use fire alarm boxes; however, these are frequently activated by external factors such as temperature and humidity. We propose an approach to fire detection using an image processing technique. In this paper, we propose a fire detection method using multichannel information and gray level co-occurrence matrix (GLCM) image features. Multi-channels consist of RGB, YCbCr, and HSV color spaces. The flame color and smoke texture information are used to detect the flames and smoke, respectively. The experimental results show that the proposed method performs better than the previous method in terms of accuracy of fire detection.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.307-313
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• 1999

This paper reviews and assesses the analogy between the human immune system and network intrusion detection systems. The promising results from a growing number of proposed computer immune models for intrusion detection motivate this work. The paper begins by briefly introducing existing intrusion detection systems (IDS's). A set of general requirements for network-based IDS's and the design goals to satisfy these requirements are identified by a careful examination of the literature. An overview of the human immune system is presented and its salient features that can contribute to the design of competent network-based IDS's are analysed. The analysis shows that the coordinated actions of several sophisticated mechanisms of the human immune system satisfy all the identified design goals. Consequently, the paper concludes that the design of a novel network-based IDS based on the human immune system is promising for future network-based IDS's

• 한국정보전자통신기술학회논문지
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• 제4권3호
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• pp.189-196
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• 2011

본 논문에서는 다중입출력 (MIMO : multiple-input multiple-output) 시스템에서 순차적 간섭 제거 기반 (SIC : successive interference cancellation) 신호 검출 기법의 성능을 분석한다. 고려되는 신호검출 기법들은 SIC 기법와 LR-SIC 기법이며, 이러한 신호 검출 기법들의 블록오류확률 (BLER; block error ratio) 성능을 나타내는 식을 유도 하고, 모의실험 결과를 통해 유도된 식과 성공적으로 일치함을 확인한다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 1999년도 춘계공동학술대회-지식경영과 지식공학
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• pp.307-313
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• 1999

This paper reviews and assesses the analogy between the human immune system and network intrusion detection systems. The promising results from a growing number of proposed computer immune models for intrusion detection motivate this work. The paper begins by briefly introducing existing intrusion detection systems (IDS's). A set of general requirements for network-based IDS's and the design goals to satisfy these requirements are identified by a careful examination of the literature. An overview of the human immune system is presented and its salient features that can contribute to the design of competent network-based IDS's are analysed. The analysis shows that the coordinated actions of several sophisticated mechanisms of the human immune system satisfy all the identified design goals. Consequently, the paper concludes that the design of a network-based IDS based on the human immune system is promising for future network-based IDS's

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권10호
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• pp.3520-3537
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• 2014

Video copy detection methods have emerged in recent years for a variety of applications. However, the lack of efficiency in the usual retrieval systems restricts their use. In this paper, we propose a parallel implementation strategy for content based video copy detection (CBCD) by using a multi-core processor. This strategy can support video copy detection effectively, and the processing time tends to decrease linearly as the number of processors increases. Experiments have shown that our approach is successful in speeding up computation and as well as in keeping the performance.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제55권11호
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• pp.527-531
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• 2006

Since 1996, KEPCO has been operating a wide range lightning detection system, LPATS, and been accumulating relative application techniques and statistical analysis skills. So, KEPRI already has its own basis to develope more accurate advanced detection technology and references to do comparative study. For three-dimensional imaging of lightning channels, UHF/VHF antenna systems were installed at 2 sites. The distance between two sites is about 30 km. These systems were used the AOA(Angle of Arrival) methods for lightning detection. In this paper, we would like to introduce about our system and its results.

• 제어로봇시스템학회논문지
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• 제15권10호
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• pp.1009-1013
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• 2009

In this paper, a robust fault detection method for varying temperature based on fuzzy model is proposed. To develop a robust force estimation model, it needs temperature information because the output of force sensor is affected by a temperature variation. The nonlinear dynamic system, such as the parking force of the EPB (Electronic Parking Brake) system is necessary to have a higher order equation model. But, because of the calculation time, the higher order equation model is hard to be used in real application. In case of the lower order equation model, the result is not as accurate as acceptable. To solve this problem, the robust fuzzy model-based fault detection is developed. A proposed fault detection method for varying temperature is verified by HILS (hardware in the loop simulation).

• 한국ITS학회 논문지
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• 제10권2호
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• pp.94-102
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• 2011

본 논문은 눈 깜박임 패턴을 이용한 새로운 졸음 검출 알고리즘을 제안하였다. 유한오토마타를 이용한 졸음 검출 모델을 제안하여 눈감은 상태를 나타내는 입력 심벌의 개수만을 체크함으로써 눈 깜박임, 졸음, 수면 검출을 용이하게 하였다. 또한 수평 투영 히스토그램의 특성을 이용하여 눈동자가 있는 영역만을 구해 수직 투영 히스토그램을 취함으로써 눈썹이나 안경테와 같은 외부 영향을 최소화 시켜 정확도를 높였다. ZJU 눈 깜박임 데이터베이스를 이용한 눈 깜박임 검출 실험 결과 93% 이상의 정확도를 얻음으로써 제안된 방법의 우수함을 보였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.95.2-95
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• 2002

1. Introduction of Camera Detection system Camera Detection system is an equipment that can detect realtime traffic information by image processing techniques. This information can be used to analyze and control road traffic flow. It is also used as a method to detect and control traffic flow for ITS(Intelligent Transportation System). Traffic information includes speed, head way, traffic flow, occupation time and length of queue. There are many detection systems for traffic data. But video detection system can detect multiple lanes with only one camera and collect various traffic information. So it is thought to be the most efficient method of all detection system. Though the...

• 한국ITS학회 논문지
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• 제10권3호
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• pp.64-73
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• 2011

본 논문에서는 모서리 검출을 이용하여 추출된 모서리를 추적함으로써 차선을 검출하고 추적하는 알고리즘을 제안한다. 제안하는 알고리즘은 양 차선이 연속되지 않고 끊긴 형태로 존재하거나 교차되는 등의 다양한 차선의 형태에도 높은 추출률을 보이는 장점을 가지고 있다. 이는 이러한 형태의 차선의 비율이 높은 시내도로 와 국도에서의 차선 추출에 보다 유리하다. 이러한 점을 증명하기 위해 테스트는 주로 불연속적이고 교차되는 형태의 차선이 많은 도로에서 실시하였고 평균 87% 이상의 추출률을 보여주었다.