• Title/Summary/Keyword: Optimal Detection

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Selection of Signal Strength and Detection Threshold for Optimal Tracking with Nearest Neighbor Filter (NN 필터 추적을 위한 최적 신호 강도 및 검출 문턱값 선택)

  • Jeong, Yeong-Heon;Gwon, Il-Hwan;Hong, Sun-Mok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.37 no.3
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    • pp.1-8
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    • 2000
  • In this paper, we formulate an optimal control problem to obtain the optimal signal strength and detection threshold for tracking with NN filter, First, we predict the tracking performance of NN filter by using the HYCA method. Based on this method, the predicted tracking performance is represented with respect to signal strength and detection threshold. Using this relation, we find the optimal parameters for following three examples: 1) the sequence of optimal detection threshold which minimizes sum of position estimation error; 2) the sequence of optimal detection threshold which minimizes sum of validation gate volume; and 3) the sequence of optimal signal strength and detection threshold which minimizes sum of signal strength.

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Effects of Optimal Heat Detection Kit on Fertility after Artificial Insemination (AI) in Hanwoo (Korean Native cattle) (한우 인공수정에서 수정적기 진단키트 활용이 수태율에 미치는 영향)

  • Choi, Sun-Ho;Jin, Hyun-Ju
    • Journal of Embryo Transfer
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    • v.32 no.3
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    • pp.153-157
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    • 2017
  • This study was conducted to investigate the optimal artificial insemination (AI) time with diagnostic kit at ovulation time. We already applied the patent about the protein in the cow heat mucose in external reproductive tract. And we would examine the accuracy for detection of cow heat by the kit produced with the protein. Evaluation of optimal heat detection was tried two time at 12 hrs and 24 hrs after the heat. And then, AI service also performed two times with no relation to the results of heat diagnosis by heat detection kit and pregnancy rates were checked with rectal palpation on $60^{th}$ day after AI. Heat diagnostic results by kit in natural heat after 12 hrs in Hanwoo cows were showed 31.3~75.0% on positive in first heat detection and 33.3~100.0% on positve in second heat detection. In the $1^{st}$ positive results were significant different (p<0.05), but $2^{nd}$ positive were not. The results of heat detection showed different result on regional influence and individual cow effects. The pregnancy rates of first trial of heat detection were showed 34.4~78.7% on positive and 21.3~68.8% on negative after the diagnosis by heat detection kit. And the pregnancy rates of next trial of heat detection were showed 33.3~85.7% on positive and 14.3~66.6% on negative after the heat diagnosis. Both positive results of first trial and next trial also were showed significant different (p<0.05), but negative results were not. In positive result, first trial of total pregnancy rates was higher than the next trial of pregnancy, but there showed opposite results on negative results. In conclusion, the optimal heat detection kit is suitable to ordinary Hanwoo cows and it suggested that we have to improve the kit's accuracy by detecting the materials like proteins related optimal AI time.

Cellular Parallel Processing Networks-based Dynamic Programming Design and Fast Road Boundary Detection for Autonomous Vehicle (셀룰라 병렬처리 회로망에 의한 동적계획법 설계와 자율주행 자동차를 위한 도로 윤곽 검출)

  • 홍승완;김형석
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.7
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    • pp.465-472
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    • 2004
  • Analog CPPN-based optimal road boundary detection algorithm for autonomous vehicle is proposed. The CPPN is a massively connected analog parallel array processor. In the paper, the dynamic programming which is an efficient algorithm to find the optimal path is implemented with the CPPN algorithm. If the image of road-boundary information is utilized as an inter-cell distance, and goals and start lines are positioned at the top and the bottom of the image, respectively, the optimal path finding algorithm can be exploited for optimal road boundary detection. By virtue of the parallel and analog processing of the CPPN and the optimal solution of the dynamic programming, the proposed road boundary detection algorithm is expected to have very high speed and robust processing if it is implemented into circuits. The proposed road boundary algorithm is described and simulation results are reported.

Measure of Effectiveness Analysis of Passive SONAR System for Detection (수동소나시스템에서 탐지효과도 분석)

  • Cho, Jung-Hong;Kim, Jea-Soo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.3
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    • pp.272-287
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    • 2012
  • The optimal use of sonar systems for detection is a practical problem in a given ocean environment. In order to quantify the mission achievability in general, measure of effectiveness(MOE) is defined for specific missions. In this paper, using the specific MOE for detection, which is represented as cumulative detection probability(CDP), an integrated software package named as Optimal Acoustic Search Path Planning(OASPP) is developed. For a given ocean environment and sonar systems, the discrete observations for detection probability(PD) are used to calculate CDP incorporating sonar and environmental parameters. Also, counter-detection probability is considered for vulnerability analysis for a given scenario. Through modeling and simulation for a simple case for which an intuitive solution is known, the developed code is verified.

Fault Detection and Isolation using navigation performance-based Threshold for Redundant Inertial Sensors

  • Yang, Cheol-Kwan;Shim, Duk-Sun
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2576-2581
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    • 2003
  • We consider fault detection and isolation (FDI) problem for inertial navigation systems (INS) which use redundant inertial sensors and propose an FDI method using average of multiple parity vectors which reduce false alarm and wrong isolation, and improve correct isolation. We suggest optimal isolation threshold based on navigation performance, and suggest optimal sample number to obtain short detection time and to enhance detectability of faults little larger than threshold.

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Optimal Design of Overlapped Ultrasonic Sensor Ring for High Resolution Obstacle Detection (고분해능 장애물 탐지를 위한 중첩 초음파 센서 링의 최적 설계)

  • Kim, Sung-Bok;Kim, Hyun-Bin
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.2
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    • pp.79-87
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    • 2011
  • This paper presents the optimal design of an overlapped ultrasonic sensor ring for high resolution obstacle detection of an autonomous mobile robot. It is assumed that a set of low directivity ultrasonic sensors of the same type are arranged along a circle of nonzero radius at a regular spacing with their beams overlapped. First, taking into account the dead angle region, the entire range of obstacle detection is determined with reference to the center of an overlapped ultrasonic sensor ring. Second, the optimal design index of an overlapped ultrasonic sensor ring is defined as the area closeness of three sensing subzones resulting from beam overlap. Third, the lower and upper bounds on the number of ultrasonic sensors are derived, which can guarantee minimal beam overlap and also avoid excessive beam overlap among adjacent ultrasonic sensors. Fourth, employing a commercial low directivity ultrasonic sensor, an optimal design example of an overlapped ultrasonic sensor ring is given along with the ultrasonic sensor ring prototype mounted on top of a mobile robot. Finally, some experimental results using our prototype ultrasonic sensor ring are given to demonstrate the validity and performance of an optimally overlapped ultrasonic sensor ring for high resolution obstacle detection.

Optimal Search Pattern of Ships based on Performance Surface (음향 탐지 성능 분포도 기반에서 함정 최적탐색패턴에 관한 연구)

  • Cheon, Minki;Kim, Sunhyo;Choi, Jee Woong;Choi, Cheolwoo;Son, Su-Uk;Park, Joungsoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.3
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    • pp.328-336
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    • 2017
  • The goal of this study is simulation of optimal search pattern of ships based on performance surface which are reflected underwater environmental. The process is as follows. First, temporal and spatial environmental database are extracted in complex environment and input hull mounted SONAR system parameters. The environmental database and SONAR system parameters are substituted to SONAR equations, and calculate signal excess, detection probability, detection range. And then, the performance surface, which can be used to provide operational insight of SONAR detection performance, are pictorialized. Finally, optimal search pattern of ships are simulated using genetic algorithm based on performance surface. And then, we certify optimal search pattern in various ways.

Optimal selection of detection threshold for tracking systems (추적 시스템을 위한 최적 검출 문턱값 선택)

  • 정영헌
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.1155-1158
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    • 1999
  • In this paper, we consider the optimal control of detection threshold to minimize the conditional mean-square state estimation error for the probabilistic data association (PDA) filter. Earlier works on this problem involved the cumbersome graphical optimization algorithm or time-consuming numerical optimization algorithm. Using the numerical approximation of information reduction factor, we obtained the closed-form optimal detection threshold. This results are very useful for real-time implemenation.

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An Optimal Strategy for Finding Espionage Ship (해상침투선 조기발견 방안)

  • Kim Chung-Yeong
    • Journal of the military operations research society of Korea
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    • v.15 no.2
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    • pp.79-93
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    • 1989
  • This research paper is aimed at developing an optimal strategy for finding espionage ship sent from North Korea. The optimal strategy developed here handles detection rate and probability that the espionage ship is in a certain specific sea area. A detection model is developed and an application problem is illustrated.

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