• Journal of Satellite, Information and Communications
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• v.12 no.2
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• pp.56-60
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• 2017

This paper describes the design and implementation of fall-down detection algorithm based on image processing. The fall-down detection algorithm separates objects by using background subtraction and binarization after grayscale conversion of the input image acquired by the camera, and recognizes the human body by using labeling operation. The recognized human body can be monitored on the display image, and an alarm is generated when fall-down is detected. By using computer simulation, the proposed algorithm has shown a detection rate of 90%. We verify the feasibility of the proposed system by verifying the function by using the prototype test implemented on the DSP image processing board.

• Smart Media Journal
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• v.5 no.3
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• pp.93-98
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• 2016

The literal meaning of loitering is "to lingering aimlessly or as if aimless in or about a place". And most criminals show this kind of act before they actually commit crime. Therefore, detecting this kind of loitering can effectively prevent a variety of crime. In this paper, we propose a loitering-detection algorithm using the Raspberry Pi. Proposed algorithm uses an adaptive difference image to detect moving objects and morphology opening operation to enhance the accuracy of detection. The loitering- behavior is being detected by using the center of gravity of the object to see the changes of angle; and pixel movement distance to determine the height of the object. When the loitering-behavior is detected, it outputs the alarm to tell the users by using the Raspberry Pi.

• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.555-558
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• 2003

When a fault relating to the urgent alarm occurs, we must prevent control rods from dropping and make one of two grippers in Control Rod Drive Mechanism (CRDM) grip the drive rod laking a control rod assembly. If a gripper with any problem is ordered to grip the drive rod, the gripper which cannot latch the rod stably will fail to take the rod. On the purpose of escaping this bad case, we order two grippers to hold the drive rod and enhance the reliability of holding control rods. This action is called the double hold. In the middle of the movement of the drive rod, the latching of the drive rod can cause friction between a gripper and the drive rod. This state may give damage to both the gripper and the drive rod. In this paper, we have devised the method which can have two grippers hold the drive rod more stably, without damaging the equipment.

• Fire Science and Engineering
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• v.23 no.3
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• pp.67-72
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• 2009

This paper is for response feature of fire detectors not only to analysis response feature of fire detector, but also to observe flame spread of inside-building and fire enlargement by using the row house which is supposed to be broken up. Many kinds of popular detectors such as heat type detector(differential type, fixed temperature type, Analogue type)and smoke type(light scattered type, Analogue type, single alarm type) were installed in the house in order to check for the change of temperature by installing of thermocouples. As a result, smoke detectors are better than heat detectors when it comes to making effective fire-detect system in the row house.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.33-38
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• 2006

인프라가 필요 없는 특성을 갖고 있어 임시 구성용 네트워크나 군사용 망에서 많이 개발되어온 애드 혹 네트워크는 산악과 같은 고립된 지역에 설치하여 산불과 같은 재난의 조기 경보 시스템에 이용한다면 효과적이다. 그러나 넓은 산악지역을 모두 커버할 수 있는 애드 혹 노드들을 설치 운영하는 것은 경제적으로 불가능하다. 또한 인포스테이션은 전송지연에 민감하지 않는 정보들을 적은 비용으로 효율적으로 전송할 수 있는 시스템이다. 우리는 본 논문에서 동물들에 애드 혹 노드들을 탑재한 이동 애드 혹 네트워크와 인포스테이션을 결합하여 화재와 같은 재난에 조기 대처할 수 있는 재난 조기 경보 시스템을 제안한다. 동물들의 이동성이 노드들간의 연결성을 향상시키므로서, 합리적인 수의 동물 노드로서 원하는 조기 경보의 효과를 만들어 낼 수 있다. 우리는 또한 제안된 시스템의 성능을 수식으로 분석하여 이를 시뮬레이션과 비교해 보았고, 실제 시스템 구축시 필요한 비용을 분석해 보았다. 이는 시스템 구축 시 필요한 파라미터를 제공할 것이다. 이 제안된 시스템을 실제 환경에 적용하면 산악지역에서의 화재등의 재난에 조기대응을 할 수 있을 것이며, 또한 피해를 최소화 할 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.137-139
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• 2015

최근 IoT 기술의 발전에 따라, 사용자는 외부에서 스마트폰을 통해 가정 내 기기 및 환경을 관리할 수 있게 되었다. 본 논문에서는 가정 내 다양한 상태 정보를 이용하여 최적의 환기 서비스를 제공하고, 최적의 내부 공기 환경을 지원하는 아두이노 기반 가정 내 공기 관리 및 경보 시스템을 제안한다. 본 시스템을 통해 사용자는 외부에서 편리하게 가정 내 공기 환경정보를 얻을 수 있고 자동 제어가 가능하며, 향후 다양한 가정 내/외부 환경정보 및 상태정보를 활용하는 고도화된 지능형 홈 서비스 연구에 도움이 될 것으로 기대한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.697-708
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• 2010

In this paper, we compare the timing synchronization performance of the adaptive filter to that of the correlator in direct sequence spread spectrum (DS/SS) systems. The test variables used in the code synchronization are statistically analyzed for both schemes, and then the obtained results are used in calculating the detection and false alarm probabilities. Based on the derived probabilities, the synchronization performance is compared and the simulation is followed. Analysis and simulation results show that the correlator outperforms the adaptive filter under most synchronization environments.

• Smart Structures and Systems
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• v.6 no.5_6
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• pp.711-730
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• 2010

This study presents the design of autonomous smart sensor nodes for damage monitoring of tendons and girders in prestressed concrete (PSC) bridges. To achieve the objective, the following approaches are implemented. Firstly, acceleration-based and impedance-based smart sensor nodes are designed for global and local structural health monitoring (SHM). Secondly, global and local SHM methods which are suitable for damage monitoring of tendons and girders in PSC bridges are selected to alarm damage occurrence, to locate damage and to estimate severity of damage. Thirdly, an autonomous SHM scheme is designed for PSC bridges by implementing the selected SHM methods. Operation logics of the SHM methods are programmed based on the concept of the decentralized sensor network. Finally, the performance of the proposed system is experimentally evaluated for a lab-scaled PSC girder model for which a set of damage scenarios are experimentally monitored by the developed smart sensor nodes.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.860-865
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• 2021

A data-based model, such as an AAKR model is widely used for monitoring the drifts of sensors in nuclear power plants. However, since a training dataset and a test dataset for a data-based model cannot be constructed with the data from all the possible states, the model uncertainty cannot be good enough to represent the uncertainty of estimations. In fact, the errors of estimation grow much bigger if the incoming data come from inexperienced states. To overcome this limitation of the model uncertainty, a new measure of uncertainty for a data-based model is developed and the predicted uncertainty is introduced. The predicted uncertainty is defined in every estimation according to the incoming data. In this paper, the AAKR model is used as a data-based model. The predicted uncertainty is similar in magnitude to the model uncertainty when the estimation is made for the incoming data from the experienced states but it goes bigger otherwise. The characteristics of the predicted model uncertainty are studied and the usefulness is demonstrated with the pressure signals measured in the flow-loop system. It is expected that the predicted uncertainty can quite reduce the false alarm by using the variable threshold instead of the fixed threshold.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.1
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• pp.25-32
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• 2009

KeeLoq is a very light block cipher with a 32-bit block and a 64-bit key. It is suitable for the wireless applications, and thus multiple automotive OEMs as Chrysler, GM, Honda, Toyota have used remote keyless entry systems and alarm systems in order to protect the their cars. In this paper, we introduce various weak-key classes that include $2^1{\sim}2^{32}$ keys and exploit the slide attack to propose key-recovery attacks under these weak-key classes.