• Title/Summary/Keyword: 탐지견

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Adaptive Beamforming Method for Turning Towed Line Array SONAR (회전하는 견인 선배열 소나의 적응 빔 형성 기법)

  • Lee, Seokjin;Park, Kyung-Min;Chung, Suk-Moon
    • The Journal of the Acoustical Society of Korea
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    • v.33 no.6
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    • pp.383-391
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    • 2014
  • In order to detect underwater acoustic signals, various SONAR array types have been developed, including towed line array SONAR system (TASS). However, the TASS suffers from performance degradation which is caused by aperture deformation during a turn, because the TASS have a long-aperture array. A parabolic array model for turning TASS have been developed to solve the degradation problem occurred during a turn. In this paper, adaptive beamforming system is developed using the parabolic TASS model to cancel interference signals. The developed beamforming system is based on generalized sidelobe canceller (GSC) structure and self-tuning adaptive algorithm.

A Study on the Design of the Dog Care Robot Using Obstacle Protection Algorithm (장애물 회피 알고리즘을 이용한 반려견 케어 로봇디자인에 관한 연구)

  • Chung, Yong-Jin
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.140-149
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    • 2018
  • Along with the recent increase in national income, social phenomena such as aging due to a decrease in population and an increase in single households are observed. There are also an increasing number of households raising pets in proportion to aging households and the increase in the number of single households, most of which use animal companions to overcome loneliness and boost domestic vitality. As more and more people consider pets as family members, the size of the domestic pet market is also growing. The growing number of pets in older households and single households is not properly managed by care such as food meals and exercise management for pets. It is necessary to research and develop robots that can monitor animal companions remotely, feed a certain amount of food at regular intervals, and manage their health through exercise. Among pet companions, dog selection is the highest. Therefore, this study identified robot research on driving methods, examples of existing pet care systems, and researched pet care robots using obstacle avoidance algorithms. In order to use the snack pay behavior and obstacle avoidance algorithm of the pet animals by applying IoT and we .oPI technology, it is able to use ultrasonic sensors on the front and has four infrared sensors on the back. However, this study does not reflect the characteristics of other pet animals as a study on pet care robots, and it requires continuous observation and testing.

Performance Analysis of FFTSA Method Using Water pulley Model (수차 모형 배열을 이용한 FFTSA 기법 성능 분석)

  • 최주평;이원철
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.521-524
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    • 2001
  • 신호 대 잡음비가 매우 낮은 수중 음원을 탐지하기 위해서는 많은 센서를 갖는 견인 배열 시스템을 운용하여야 한다. 그러나 이러한 경우 수백 미터에 이르는 배열을 견인함이 끌고 다닐 때 파도와 같은 해수면의 움직임과 견인선의 기동 형태에 따라 원하는 배열 형태를 항상 유지할 수 없다. 그러므로 본 논문에서는 실제 수 중 환경에서 견인되는 배열의 왜곡된 형태를 시간적으로 뿐만 아니라 공간적으로 통합된 센서의 움직임 근거로 한 상관 형태를 잘 표현한 ""Paidoussis"" 방정식을적용하여 이 방정식의 간단화된 형태인 수차 모형(Water pulley)배열을 협대역 목표물 탐지에 이용하였다. [1][2][8] 수차 모형 구조의 배열을 이용하여 사상 기법을 적용하면 수차 모형의 왜곡 특성으로 인해 센서간 간격이 비균일성을 가지는 가상의 선형 배열이 형성되어 진다. 본 논문에서는 사상 기법에 의해 생성된 가상의 선형 배열을 토대로 합성 어패처 방식의 일종인 FFTSA(Fast Fourier Transform Synthetic Aperture) 기법을 이용하여 센서 배열의 입사각 추정 성능에 중대한 영향을 부여하는 코히어런스 주기에 따른 추정 성능의 변화 및 견인함의 이동 경로 변화에 따른 변동 경로 주기에 따른 성능 변화를 분석하였다.

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Bioinformatic Analysis of the Canine Genes Related to Phenotypes for the Working Dogs (특수 목적견으로서의 품성 및 능력 관련 유전자들에 관한 생물정보학적 분석)

  • Kwon, Yun-Jeong;Eo, Jungwoo;Choi, Bong-Hwan;Choi, Yuri;Gim, Jeong-An;Kim, Dahee;Kim, Tae-Hun;Seong, Hwan-Hoo;Kim, Heui-Soo
    • Journal of Life Science
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    • v.23 no.11
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    • pp.1325-1335
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    • 2013
  • Working dogs, such as rescue dogs, military watch dogs, guide dogs, and search dogs, are selected by in-training examination of desired traits, including concentration, possessiveness, and boldness. In recent years, genetic information has been considered to be an important factor for the outstanding abilities of working dogs. To characterize the molecular features of the canine genes related to phenotypes for working dogs, we investigated the 24 previously reported genes (AR, BDNF, DAT, DBH, DGCR2, DRD4, MAOA, MAOB, SLC6A4, TH, TPH2, IFT88, KCNA3, TBR2, TRKB, ACE, GNB1, MSTN, PLCL1, SLC25A22, WFIKKN2, APOE, GRIN2B, and PIK3CG) that were categorized to personality, olfactory sense, and athletic/learning ability. We analyzed the chromosomal location, gene-gene interactions, Gene Ontology, and expression patterns of these genes using bioinformatic tools. In addition, variable numbers of tandem repeat (VNTR) or microsatellite (MS) polymorphism in the AR, MAOA, MAOB, TH, DAT, DBH, and DRD4 genes were reviewed. Taken together, we suggest that the genetic background of the canine genes associated with various working dog behaviors and skill performance attributes could be used for proper selection of superior working dogs.

An Experimental Study on Synthetic Aperture Sonar under Korean Littoral Environment (한국 근해에서의 실측 데이터를 이용한 합성 어퍼쳐 소나 실험에 관한 연구)

  • 박희영;도경철;강현우
    • The Journal of the Acoustical Society of Korea
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    • v.23 no.6
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    • pp.428-436
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    • 2004
  • Synthetic Aperture Sonar is a technique of extending Physically limited length of an array by signal processing to enhance bearing resolution of a system. The previous techniques estimate most or away shapes as linear. so when towed array shapes are distorted. this can create a deviation from actual situation. In this paper. we estimated perturbed away shapes. and compensated distortion by using estimated array shapes and synthesized arrays in aperture domain. As experimental data, we used the one obtained from towed array in neighboring waters of the Korean peninsula. We extended array by compensating differences in time and spatial position between overlapped subarrays by using SAS techniques. In simulation results. we confirmed that the bearing resolution was enhanced.

Implementation of a Classification System for Dog Behaviors using YOLI-based Object Detection and a Node.js Server (YOLO 기반 개체 검출과 Node.js 서버를 이용한 반려견 행동 분류 시스템 구현)

  • Jo, Yong-Hwa;Lee, Hyuek-Jae;Kim, Young-Hun
    • Journal of the Institute of Convergence Signal Processing
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    • v.21 no.1
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    • pp.29-37
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    • 2020
  • This paper implements a method of extracting an object about a dog through real-time image analysis and classifying dog behaviors from the extracted images. The Darknet YOLO was used to detect dog objects, and the Teachable Machine provided by Google was used to classify behavior patterns from the extracted images. The trained Teachable Machine is saved in Google Drive and can be used by ml5.js implemented on a node.js server. By implementing an interactive web server using a socket.io module on the node.js server, the classified results are transmitted to the user's smart phone or PC in real time so that it can be checked anytime, anywhere.

Beamforming Method for Target Range Estimation Using Near Field Shading Function (근거리 쉐이딩 함수를 이용한 표적 거리 추정 빔형성 기법)

  • Choi, Joo-Pyoung;Lee, Won-Cheol
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.7
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    • pp.350-356
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    • 2008
  • In this paper, we propose shading functions to the appropriate focused beamforming for near-field target estimation. This near field shading functions are based on Chebychev and Manning windows. In order to obtain the optimum sensor weighting values with the help of the proposed shading technique, we assume that the sensor positions associated to the non-uniformly distributed array are precisely known. We calculate a series of sensor weighting values from the FFT operation of given shading functions in time domain. By applying the shading weights on the sensor array, we can see that the level of sidelobe becomes diminished and the performance of estimating range and azimuth gets improved. In addition, we propose a non-uniform structure in terms of frequency bands, which may minimize the attenuation of incoming signals.

Effectiveness Analysis on the Coherence and Time for Synthetic Aperture Sonar (코히어런스 영향과 시간에 따른 실측 데이터의 합성 효과 실험)

  • Kang Hyun-Woo
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.4
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    • pp.172-177
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    • 2006
  • Various research and development on Synthetic Aperture Sonar technique is under way to enhance bearing resolution of a SONAR system. In this paper, we estimated perturbed array shapes, and compensated distortion by using estimated away shapes and synthesized arrays in aperture domain such as an ETAM technique. As experimental data, we used the one obtained from towed array in neighboring waters of the Korean peninsula. Through simulation on data where tow-ship speed is maintained at a constant level, we confirmed that synthesis effect of increasing SNR and narrowed beam width of main lobe was consistently demonstrated for about 1 minute when coherence of target signal was maintained. Also, we showed that the synthesis effect with respect to time was constantly maintained.

Study of Jindo Dog Personality Traits:Questionnaire of The 16th Korean Jindo Dog Show (진도개 성격형질연구:제16회 한국진도개품평회 설문조사)

  • Hong, Kyung-Won;Kim, Young-San;Shin, Young-Bin;Oh, Seok-Il;Kim, Jong-Seok;Choi, Hyuk;Lee, Ji-Woong;Sun, Sang-Soo;Lee, Jae-Il;Lee, Sang-Eun;Chung, Dong-Hee;Cho, Yong-Min;Im, Seok-Ki;Choi, Bong-Hwan
    • Journal of Animal Science and Technology
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    • v.50 no.2
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    • pp.273-278
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    • 2008
  • There have been studies about dog’s personality and behavior, which is helpful to breed dogs as guide or companion. In this study, a questionnaire was developed using 54 Jindo dogs, which considered ten items about aggressiveness and sociability. The scores were analyzed by principle component analysis (PCA), after accounting for four variables: age, gender, growing place, and coat-colors. Our results from the PCA indicated three principle components, which classified ‘aggressiveness’, ‘sociability’ and unknown factor. The four variables did not significantly affect aggressiveness(P>0.05). However, there was a relationship between coat-color and sociability, i.e., the Jindo dogs with fawn color were more sociable than the white ones(P<0.1).

Study on the investigating termite damages of wooden structure using detector dog (탐지견을 활용한 목조건축물의 흰개미피해 조사 연구)

  • Jeong, So-Young
    • 보존과학연구
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    • s.31
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    • pp.121-130
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    • 2010
  • Wooden structures in Korea are usually damaged by some insects such as termites, wasps, cigarette beetles, powder-post beetles. Especially, the termites inhabiting in Korea are the subterranean termites, Reticulitermes speratus kyushuensis Morimoto, that make colonies in underground, therefore it is difficult to predict and control substantial infestations in advance. Accordingly, to enable inspectors to locate the termite infestations before the extensive damage occurs, the pest management industry has begun using several elaborate tools and making the various effect to inspect areas hard to access through a visual inspection. Recently detector dogs were adopted as one of those tools. Detector dogs are useful for locating subterranean termites because they use their acute olfaction rather than vision. We also have used detector dogs to locate termites and investigated 270 buildings from 31 sites since 2007. According to the results, while 144 buildings (53.4%) were in good condition with no damage by termites, 80 buildings (29.6%) were found out to be damaged by termites through visual inspection and detector dog. So it is expected to control termites according to the conservation status if detector dogs are well trained to discriminate live termites from fecal pellets by termites.

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