• Title/Summary/Keyword: Source localization

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Design of Sound Source Localization Sensor Based on the Hearing Structure in the Parasitoid Fly, Ormia Ochracea (파리의 청각 구조를 이용한 음원 방향 검지용 센서 설계)

  • Lee, Sang-Moon;Park, Young-Jin
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.2
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    • pp.126-132
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    • 2012
  • The technique for estimation of sound source direction is one of the important methods necessary for various engineering fields such as monitoring system, military services and so on. As a new approach for estimation of sound source direction, this paper propose the bio-mimetic localization sensor based on mechanically coupling structure motivated by hearing structure of fly, Ormia Ochracea. This creature is known for its outstanding recognition ability to the sound which has large wavelength compared to its own size. ITTF (Inter-Tympanal Transfer Function) which is the transfer function between displacements of the tympanal membranes on each side has the all inter-tympanal information dependent on sound direction. The peak and notch features of desired ITTF can be generated by using the appropriate mechanical properties. A example of estimation of sound source direction using generated ITTF with monotonically changing notch and peak patterns is shown.

Geoacoustic Inversion and Source Localization with an L-Shaped Receiver Array (L-자형 선배열을 이용한 지음향학적 인자 역산 및 음원 위치 추정)

  • Kim, Kyung-Seop;Lee, Keun-Hwa;Kim, Seong-Il;Kim, Young-Gyu;Seong, Woo-Jae
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.7
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    • pp.346-355
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    • 2006
  • Acoustic data from a shallow water experiment in the East Sea of Korea (MAPLE IV) is Processed to investigate the Performance of matched-field geo-acoustic inversion and source localization. The receiver array consists of two legs as in an L-shape. one vertical and the other horizontal lying on the seabed. Narrowband multi-tone CW source was towed along a slightly inclined bathymetry track. The matched-field geo-acoustic inversion includes comparisons between three processing techniques. all based on the Bartlett processor as; (1) the coherent processing of the data from the full array, (2) the incoherent Product of each output from both the horizontal and vertical arrays, and (3) the cross correlation between the horizontal and vertical arrays. as well as processing each array leg separately. To verify the inversion results. matched-field source localization for low level source signal components were performed using the same Processors used at the inversion stage.

Theoretical analysis of the lightwave localization phenomenon on the random transmission line (part 2) : simulation (랜덤 선로상의 광 국재현상에 관한 해석(2) : 시뮬레이션)

  • 최영규
    • Korean Journal of Optics and Photonics
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    • v.14 no.4
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    • pp.434-442
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    • 2003
  • Taking advantage of the probability function, we have analyzed the localization phenomenon of the solution of a propagating function under the condition that the propagation constants are randomly distributed. For example, we have investigated the localization phenomenon of the voltage wave for a transmission line in which the characteristic impedance is randomly distributed. We have confirmed that the localized solution is in existence on the random lossless transmission line. Even in the case that the voltage wave is impulsively excited by the current source, the voltage wave is localized. Because the light wave is seriously affected at the localized position in the lossy transmission line, we have determined that the light wave localization phenomena are generated by multi-reflection.

Selecting Test Cases for Result Inspection to Support Effective Fault Localization

  • Li, Yihan;Chen, Jicheng;Ni, Fan;Zhao, Yaqian;Wang, Hongwei
    • Journal of Computing Science and Engineering
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    • v.9 no.3
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    • pp.142-154
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    • 2015
  • Fault localization techniques help locate faults in source codes by exploiting collected test information and have shown promising results. To precisely locate faults, the techniques require a large number of test cases that sufficiently exercise the executable statements together with the label information of each test case as a failure or a success. However, during the process of software development, developers may not have high-coverage test cases to effectively locate faults. With the test case generation techniques, a large number of test cases without expected outputs can be automatically generated. Whereas the execution results for generated test cases need to be inspected by developers, which brings much manual effort and potentially hampers fault-localization effectiveness. To address this problem, this paper presents a method to select a few test cases from a number of test cases without expected outputs for result inspection, and in the meantime selected test cases can still support effective fault localization. The experimental results show that our approach can significantly reduce the number of test cases that need to be inspected by developers and the effectiveness of fault localization techniques is close to that of whole test cases.

Deep Learning-Based Sound Localization Using Stereo Signals Based on Synchronized ILD

  • Hwang, Hyeon Tae;Yun, Deokgyu;Choi, Seung Ho
    • International Journal of Internet, Broadcasting and Communication
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    • v.11 no.3
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    • pp.106-110
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    • 2019
  • The interaural level difference (ILD) used for the sound localization using stereo signals is to find the difference in energy that the sound source reaches both ears. The conventional ILD does not consider the time difference of the stereo signals, which is a factor of lowering the accuracy. In this paper, we propose a synchronized ILD that obtains the ILD after synchronizing these time differences. This method uses the cross-correlation function (CCF) to calculate the time difference to reach both ears and use it to obtain synchronized ILD. In order to prove the performance of the proposed method, we conducted two sound localization experiments. In each experiment, the synchronized ILD and CCF or only the synchronized ILD were given as inputs of the deep neural networks (DNN), respectively. In this paper, we evaluate the performance of sound localization with mean error and accuracy of sound localization. Experimental results show that the proposed method has better performance than the conventional methods.

A study on the localization of incipient propeller cavitation applying sparse Bayesian learning (희소 베이지안 학습 기법을 적용한 초생 프로펠러 캐비테이션 위치추정 연구)

  • Ha-Min Choi;Haesang Yang;Sock-Kyu Lee;Woojae Seong
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.529-535
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    • 2023
  • Noise originating from incipient propeller cavitation is assumed to come from a limited number of sources emitting a broadband signal. Conventional methods for cavitation localization have limitations because they cannot distinguish adjacent sound sources effectively due to low accuracy and resolution. On the other hand, sparse Bayesian learning technique demonstrates high-resolution restoration performance for sparse signals and offers greater resolution compared to conventional cavitation localization methods. In this paper, an incipient propeller cavitation localization method using sparse Bayesian learning is proposed and shown to be superior to the conventional method in terms of accuracy and resolution through experimental data from a model ship.

PD Localization by Metal Sheath Interruption Methods for Power Cable and Accessories (차폐분리에 의한 전력케이블 및 접속함의 부분방전 위치 검출)

  • Lee, Chang-Yeong;Sin, Du-Seong;Kim, Chung-Sik;Kim, Dong-Uk;Park, Wan-Gi
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.49 no.3
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    • pp.196-201
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    • 2000
  • It is very important not only to detect PD signal but also to locate PD source in power cable line including its accessories. In this paper, the PID localization technique using interruption of metal sheath of cable or accessory is described. By interruption of metal sheath, the polarity of PD pulse to be measured on each part can be compared. With this technique, the exact location of PD in the accessory which has some defects can be found. Although the 'Soft' interruption method, that is, cable sheath is divided by semi-conductive layer with the resistance of higher than 1 k$\Omega$, was used instead of 'Hard' interruption method, it is also possible to detect exact location of PD. This technique is considered to be very effective for detecting PD localization in the type test of cable and accessories.

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Impact Localization of a Composite Plate Using a Single Transducer and Spatial Focusing Signal Processing Techniques (단일 센서와 공간집속 신호처리 기술을 이용한 복합재 판에서의 충격위치 결정)

  • Cho, Sungjong;Jeong, Hyunjo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2012.10a
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    • pp.715-722
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    • 2012
  • A structural health monitoring (SHM) technique for locating impact position in a composite plate is presented in this paper. The technique employs a single sensor and spatial focusing properties of time reversal (TR) and inverse filtering (IF). We first examine the focusing effect of back-propagated signal at the impact position and its surroundings through simulation. Impact experiments are then carried out and the localization images are found using the TR and IF signal processing, respectively. Both techniques provide accurate impact location results. Compared to existing techniques for locating impact or acoustic emission source, the proposed methods have the benefits of using a single sensor and not requiring knowledge of material properties and geometry of structures. Furthermore, it does not depend on a particular mode of dispersive Lamb waves that is frequently used in the SHM of plate-like structures.

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A Study on the 2-Dimensional AE Source Location Methods (이차원 AE음원 위치추정법에 관한 연구)

  • 장경환;김달중
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.419-422
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    • 1995
  • In this paper, we propose two methods for AE source location on the material with unknown AE wave velocity. By this method, we can apply this method to arbitrary material of which properties are not known exactly. Also, in this paper, the mechanism of error generation in both methods are discussed and performances are compared by using computer simulation and experiments which uses a lead break as the AE source on the aluminum plate.

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