• Journal of the Institute of Convergence Signal Processing
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• v.21 no.2
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• pp.86-91
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• 2020

As the number of elderly people living alone increases, the frequency of fall accidents is also increasing. Falls are a threat to the health of older adults and can reduce their ability to remain independent. To solve this problem, we need real-time technology to recognize and respond to the critical condition of the elderly living alone. Therefore, this paper proposes a modified fall detection algorithm based on YOLO-KCF that can check one of the emergency situations in real time for the elderly living alone. YOLO can detect not only the detection of objects, but also the behavior of objects, namely stand and fall. Therefore, this paper can detect fall using the ratio of change of boundary box between stand and falling situation, and this algorithm can improve the shortcomings of KCF.

• The Journal of the Acoustical Society of Korea
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• v.16 no.4
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• pp.101-105
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• 1997

The active noise control method that was developed for long duct has some problems to be applied for short duct. To overcome this problem, we apply the SISO(Single Input Single Output) algorithm for the active noise control of short duct using zero acoustic impedance boundary. The SISO algorithm can input noise signal and error signal with one microphone simultaneously. The real-time controller was implemented using TMS320E25 DSP(Digital Signal Processing) chip and it's performance was evaluated by experiment. As a result, we obtain total 4.7dBA noise reduction for 0.80m short duct.

• Fire Science and Engineering
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• v.22 no.4
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• pp.27-32
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• 2008

In this paper, a flame and smoke detection algorithm is proposed to recognize a fire. Flame and smoke have specific color distribution and continuously change shapes of them. In the proposed flame detection algorithm, specific regions are candidated as flame by color distributions and variations of frames of video. Some of candidated regions are decided as flame by the magnitude of motion vector. To determine smoke in the field of view of camera, edge is important because high frequency component is decreased by it. Candidated region of smoke is assigned by color distributions, inter-frame differences and the value of edge. The candidated region is settled as smoke region with magnitude of motion vector. As results of simulations, it is shown that the proposed algorithm is useful for flame and smoke detection.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.44-54
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• 2012

In wireless sensor networks, a moving object tracking scheme is one of core technologies for real applications such as environment monitering and enemy moving tracking in military areas. However, no works have been carried out on processing the failure of object tracking in sparse sensor networks with holes. Therefore, the energy consumption in the existing schemes significantly increases due to plenty of failures of moving object tracking. To overcome this problem, we propose a novel moving object tracking scheme based on polynomial regression prediction in sparse sensor networks. The proposed scheme activates the minimum sensor nodes by predicting the trajectory of an object based on polynomial regression analysis. Moreover, in the case of the failure of moving object tracking, it just activates only the boundary nodes of a hole for failure recovery. By doing so, the proposed scheme reduces the energy consumption and ensures the high accuracy for object tracking in the sensor network with holes. To show the superiority of our proposed scheme, we compare it with the existing scheme. Our experimental results show that our proposed scheme reduces about 47% energy consumption for object tracking over the existing scheme and achieves about 91% accuracy of object tracking even in sensor networks with holes.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.1
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• pp.51-58
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• 2016

As semiconductor technology has developed, device performance has been improved. However, since device structures became smaller, circuit aging due to operational and environmental conditions can be accelerated. Circuit aging causes a performance degradation and eventually a system error. In reliable systems, a failure due to aging might cause a great disaster. Therefore, these systems need a performance degradation prediction function so that they can take action in advance before a failure occurs. This paper presents an on-line circuit performance degradation monitoring scheme for predicting a failure by detecting performance degradation during circuit normal operation. In our proposed scheme, IEEE 1149.1 output boundary scan cells and TAP controller are reused. The experimental result shows that the proposed architecture can monitor the performance degradation during normal operation without stopping the circuit.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 1996.11a
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• pp.72-75
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• 1996

The objectives of this paper investigate the effect of installed spacing on the activation of spot type heat detection devices. The flow of hot gases under a ceiling resulting from the impingement of a fire plume activates heat detectors and sprinklers. Local temperature and velocity in this ceiling jet are usually expressed with the function of a ceiling height, the distance from a fire location and the heat release rate of fire. And detectors having different. RTI respond in different ways to the same temperature and velocity of ceiling jet. Thus great care should be taken to decide installed spacing of heat detection devices by considering above effects.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.05a
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• pp.151-152
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• 2012

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1199-1203
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• 2012

This paper proposes a Scene Change Detection method using the local decision tree and clustering. The local decision tree detects cluster boundaries wherein local scenes occur, in such a way as to compare time similarity distributions among the difference values between detected scenes and their adjacent frames, and group an unbroken sequence of frames with similarities in difference value into a cluster unit.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1583-1586
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• 2002

Mobile IP Scheme의 이동 에이전트들은 이동 노드가 무선환경에서 망의 경계를 지나 다른 망으로 소속이 변경되었는지, 어떤 망으로 변경되었는지를 알려주기 위해 주기적으로 방송을 한다. 홈 네트웍에서 외부 망으로 이동하는 경우에 외부 망에서 CoA 할당 및 바인딩 업 데이트를 통하여 이동성을 지원할 수 있지만 무선 인터넷과 같은 이동성이 빈번한 경우에는 이동에 따른 데이터의 손실과 전송지연에 따른 QoS를 보장할 수 없게 되는 주요한 문제가 발생하게 된다. 또한 MN 가 되돌아 오는 경우 모바일 단말이 현재의 셀에서 멀어지고 있거나, 이동했을 경우 이동감지 단계와 CoA 를 재 설정하고 등록에 따른 메시지 전달이 증가하기 때문에 오버헤드가 상당히 증가하게 되는 문제점을 가지고 있다. 본 논문에서는 모바일 단말이 이동이 빈번하거나 기존의 셀로 되돌아오는 경우에 모바일 단말에 프리픽스를 비교하여 재 등록에 따른 메시지 교환을 생략할 수 있게 함으로써 빠른 핸드오프를 가능하게 했다.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.344-346
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• 2013

최근 농작물이나 과수는 멧돼지, 고라니, 꿩 등과 같은 유해동물로부터 피해를 입는 사례가 늘고 있다. 특히 멧돼지는 현재 별다른 천적이 없어 개체수가 급격히 증가하고 산간지역을 넘어 도심지역까지 출몰하고 있어 농가에 큰 근심거리가 된다. 종래에는 농장이나 과수원에 허수아비를 세우거나 목책을 치는 소극적인 수단에서부터, 경계를 따라 전기울타리를 설치하거나 야간점멸 조명 기를 설치하는 등의 적극적인 수단을 강구하였으나, 야생동물들이 이들 대책수단에 적응하게 되면서 큰 효과를 거두지 못하고 있으며 확실한 대책이 없이 피해는 점점 더 늘어만 가고 있는 실정이다. 본 논문에서 제안하는 시스템은 무인로봇을 이용한 유해동물 감시 시스템으로, 특히 유해동물을 감지하고 무인로봇을 유해동물로 이동시켜 소리 또는 물질을 방출하도록 하고 유해동물에 대한 관련정보를 관리자단말 및 유관기관서버로 전송하도록 하는 유해동물 감시 시스템 설계 및 개발 관한 것이다.