• 한국군사과학기술학회지
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• 제12권3호
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• pp.388-395
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• 2009

Surveillance Radar System for naval vessels is a primary core sensor for command and fire control, and provides CFCS(Command and Fire Control System) information for 3-D surveillance and fire control. It's composed of Antenna, Transmitter/Receiver, Signal Processor, and Air drier, which are installed on and under deck. They should be designed and produced in order to endure at any operating circumstances. This paper analyzes load of a driving part for driving the antenna considering factors under external operating circumstances, and proposes a condition of load for maintaining fixed RPM through analyzing internal load of the driving part, and how to reduce the load to meet the condition. This paper is verified through experimental studies.

• 센서학회지
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• 제13권2호
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• pp.144-151
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• 2004

In this paper, we propose an active stereo surveillance system with human-like convergence function. The proposed system uses a bottom-up saliency map model with the human-like selective attention visual function to select an interesting region in each camera. and this system compares the landmarks whether the selective region in each camera finds a same region. If the left and right cameras successfully find a same landmarks, the implemented vision system focuses on the landmark. Using the motor encoder information, we can automatically obtain the depth information and resultantly construct a depth map using the depth information. Computer simulation and experimental results show that the proposed convergence method is very effective to implement the active stereo surveillance system.

• 한국통신학회논문지
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• 제39B권9호
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• pp.614-619
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• 2014

WSN (Wireless Sensor Networks)기반 보안 감시 시스템에서는 센서들이 수집한 이벤트 발생 정보를 전송함에 있어서 이벤트가 발생한 지역의 위치 정보를 함께 제공하는 것이 요구된다. 기존에 많은 연구가 진행되었던 2D기반 위치추적 기법들은 고도가 일정한 환경에서는 꽤 높은 정확도를 보이나, 높이 개념이 추가된 실제 환경에서는 많은 오류를 발생시킬 수 있다. 또한 기존의 3D 위치추적 기법들은 많은 참조노드를 요구하거나, 복잡한 수식 계산을 요구하는 문제점을 가지고 있다. 그러나 본 논문에서 고려하는 실내 보안 감시 시스템에서는 감지된 대상체가 침입자인지 여부를 판단하기 위한 대상체의 높이 예측만을 요구한다. 따라서 본 논문에서는 복잡한 수식 계산이나 많은 참조노드들을 요구하지 않는 대상체 높이예측 기법을 제안한다. 또한 제안 기법의 성능분석을 위하여 여러 가지 시나리오에서 예측 정확도를 측정하였다.

• 마이크로전자및패키징학회지
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• 제6권1호
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• pp.81-89
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• 1999

Micromachining을 이용하여 기존의 전자 물품 감시에 사용되는 자기공명센서의 소형화 공정을 연구하였다. 설계 한 구조는 Free Standing Membrane형 과 Diving Board형의 두 가지이며 각자에 대해 적합한 공정 조건을 수립하고 실제로 그 구조를 형성해 보았다. 멤브레인형의 경우는 센서 모양을 여러 가지 형태로 쉽게 바꿀 수 있는 반면에 그 크기가 실리콘 기판의 두께에 의존하여 소형화하는데 한계가 있었으며 다이빙 보드형의 경우 소형화에도 유리하고 센서의 자기변형이 보다 자유로운 구조였다. 실리콘 질화막은 일반 반도체 공정에서의 조건보다 Si의 함량을 크게 하여 열처리 없이도 저응력의 박막형성이 가능하였으며 탄성계수 값이 크지 않아 센서 부분의 자기변형을 크게 구속하지 않아 센서물질의 지지층으로 유리한 물질이었다. 또한 스퍼터링으로 증착된 텅스텐은 자성 센서 물질로 연구되고 있는 Fe-B-Si물질에 대한 식각 선택도가 높아 구조 형성 공정 중 보호 층으로 사용된 후 제거될 수 있음을 알 수 있었다. 따라서 지지층으로 실리콘 질화막을 사용하고 보호층으로 텅스텐 박막을 사용한 다이빙 보드형 구조가 전자 물품 감시(EAS)용 센서의 소형화에 유리 할 것으로 생각된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.2948-2963
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• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2010년도 춘계학술대회
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• pp.699-701
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• 2010

해상 감시용 Multi Sensor 및 IFOG 개발을 위하여 주 야간 겸용 감시카메라의 통합 개발과 시스템 Control Unit 설계 및 항해 장비 연동 시스템 제작하였다. 선박 통합 시스템의 Control Unit의 분석은 Control Unit에 연결 가능한 항해 장비 리스트를 선별하는 것으로 시작 하였다. 항해 장비 리스트를 선별한 후 각 항해 장비의 용도와 특성, 연결 방법, 통신 방법, 데이터 종류에 따라 Control Unit와 항해 장비간의 데이터 방향성, 데이터 종류들을 선별하여 그 성능을 보여주었다.

• Journal of Information Processing Systems
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• 제9권2호
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• pp.237-246
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• 2013

Maintenance Access Hatches are used to ensure urban safety and aesthetics while facilitating the management of power lines, telecommunication lines, and gas pipes. Such facilities necessitate affordable and effective surveillance. In this paper, we propose a FiCHS (Fixed Cluster head centralized Hierarchical Static clustering) routing protocol that is suitable for underground maintenance hatches using WSN (Wireless Sensor Network) technology. FiCHS is compared with three other protocols, LEACH, LEACH-C, and a simplified LEACH, based on an ns-2 simulation. FiCHS was observed to exhibit the highest levels of power and data transfer efficiency.

• Nuclear Engineering and Technology
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• 제37권2호
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• pp.127-138
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• 2005

Approaches to several recent issues in the operation of nuclear power plants using computational intelligence are discussed. These issues include 1) noise analysis techniques, 2) on-line monitoring and sensor validation, 3) regularization of ill-posed surveillance and diagnostic measurements, 4) transient identification, 5) artificial intelligence-based core monitoring and diagnostic system, 6) continuous efficiency improvement of nuclear power plants, and 7) autonomous anticipatory control and intelligent-agents. Several changes to the focus of Computational Intelligence in Nuclear Engineering have occurred in the past few years. With earlier activities focusing on the development of condition monitoring and diagnostic techniques for current nuclear power plants, recent activities have focused on the implementation of those methods and the development of methods for next generation plants and space reactors. These advanced techniques are expected to become increasingly important as current generation nuclear power plants have their licenses extended to 60 years and next generation reactors are being designed to operate for extended fuel cycles (up to 25 years), with less operator oversight, and especially for nuclear plants operating in severe environments such as space or ice-bound locations.

• 센서학회지
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• 제25권6호
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• pp.394-398
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• 2016

In this paper, a fire detection system based on quantitative risk estimation is presented. Multiple sensors are used to build a comprehensive indicator that represents the risk of fire quantitatively. The proposed fire risk estimation method consists of two stages which determines the occurrence of fire and estimates the toxicity of the surveillance area. In the first stage, fire is reliably detected under diverse fire scenarios. The risk of fire is estimated in the second stage. Applying Purser's Fractional Effective Dose (FED) model which quantitates harmfulness of toxic gases, the risk of the surveillance area and evacuation time are calculated. A fire experiment conducted using four different types of combustion materials for the verification of the system resulted in a maximum error rate of 12.5%. By using FED calculation and risk estimation methods, the proposed system can detect various signs of fire faster than conventional systems.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.45-47
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• 2009

Wireless Sensor Network(WSN) has been very popular in unattended surveillance systems recently. For Applying WSN into Building Automation system(BAS), a novel hierarchial network structure and static routing algorithm which eliminates the scalability limitation of Zigbee are proposed in this paper. The static routing algorithm relying on the hierarchial network address reduces the computational complexity to a great extent and has a real-time performance which satisfies urgent applications well.