• Title/Summary/Keyword: proximity sensor

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Approaching Target above Ground Tracking Technique Based on Noise Covariance Estimation Method-Kalman Filter (잡음 공분산 추정 방식을 적용한 칼만필터 기반 지면밀착 접근표적 추적기법)

  • Park, Young-Sik
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.10
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    • pp.810-818
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    • 2017
  • This paper presents the approaching target above ground tracking based on Kalman filter applied to the proximity sensor for the active defense system. The proximity sensor located on the front of the countermeasure is not easy to detect when the anti-tank threat enters a fragment dispersion range due to limited antenna beamwidth. In addition, it is difficult for the proximity sensor to detect the anti-tank threat accurately at a terrestrial environment including various clutters. To solve these problems, this study presents the approaching target above ground tracking based on Kalman filter and applies the novel estimation method for a noise covariance matrix to improve a tracking performance. Then, a high tracking performance of Kalman filter applied the proposed noise covariance matrix is presented through field firing test results and the validity of the proposed study is examined.

Technology Development for Composite Sensor System of Automatic Guided Vehicle(AGV) Using RFID/IMU/Encoder/Proximity Sensor (RFID/IMU/Encoder/근접센서를 활용한 무인지게차의 복합센서 시스템 연구)

  • Shin, Hee-Young;Choi, Hyeung-Sik;Kim, Hwan-Seong;Jung, Sung-Hun
    • Journal of Navigation and Port Research
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    • v.37 no.3
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    • pp.309-313
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    • 2013
  • This paper is about a complex sensor system of an automatic guided vehicle(AGV) for loading and unloading payloads. For the AGV to approach to the target rack for loading and unloading the payload, a way to identify the position and orientation was studied. To identify the position and orientation of the AGV accurately, a complex sensor system composed of RFID, IMU, and limit sensors was developed, and the performance of each sensor was undertaken. A model AGV was constructed, and the good performance of the developed complex sensor system was verified through performance experiments.

Behavior recognition system based fog cloud computing

  • Lee, Seok-Woo;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • v.6 no.3
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    • pp.29-37
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    • 2017
  • The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

Development of the Inductive Proximity Sensor Module for Detection of Non-contact Vibration (비접촉 진동 검출을 위한 유도성 근접센서모듈 개발)

  • Nam, Si-Byung;Yun, Gun-Jin;Lim, Su-Il
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.5
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    • pp.61-71
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    • 2011
  • To measure the fatigue of metallic objects at high speed vibration while non-contact precision displacement measurement on how to have a lot of research conducted. Noncontact high-speed vibration detection sensor of the eddy current sensors and laser sensors are used, but it is very expensive. Recently, High-speed vibrations detection using an inexpensive inductive sensor to have been studied, but is still a beginner. In this paper, a new design of an inexpensive inductive proximity sensor has been suggested in order to measure high frequency dynamic displacements of metallic specimens in a noncontact manner. Detection of the existing inductive sensors, detection, integral, and amplified through a process to detect the displacement noise due to weak nature of analog circuits and integral factor in the process of displacement detection is slow. The proposed method could be less affected by noise, the analog receive and high-speed signal processing is a new way, because AD converter (Analog to Digital converter) without using the vibration frequency signals directly into digital signals are converted. In order to evaluate the sensing performance, The proposed sensor module using non-contact vibration signals were detected while shaker vibration frequencies from 30Hz to 1,100 Hz at intervals of vibrating metallic specimens. Experimental results, Vibration frequency detection range of the metallic specimins within close proximity to contactless 5mm could be measured from DC to 1,100Hz and vibration amplitude of the resolution was $20{\mu}m$. Therefore, the proposed non-contact inductive sensor module for precision vibration detection sensor is estimated to have sufficient performance.

Distance Estimation Method between Two Nodes in Wireless Sensor Networks (무선 센서 네트워크에서 두 노드간 거리 추정 기법)

  • Kwon Oh-Heum;Kim Sook-Yeon
    • Journal of the Korea Society of Computer and Information
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    • v.10 no.5 s.37
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    • pp.209-216
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    • 2005
  • In wireless sensor networks, an estimation method is proposed for distances between nodes within two hops. The method uses only proximity information of nodes without physiccal distance measurements. It drastically improves the performance of localization algorithms based on Proximity information. In addition, it is the first method that estimates distances between nodes exactly in two hops. The distances are estimated from the number of common neighbors under an assumption that the number of common neighbors is proportional to the intersection of two unit disks centered at the two nodes. Simulation analysis shows that the estimation error is roughly from 10 to 20 percent of real distances. Meanwhile, the number of messages required by a distributed algorithm realizing this method is only two times the number of nodes.

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Development of an Inductive Proximity Sensor in Active Magnetic Bearing System for Magnetically Suspended Centrifugal Blood Pumps (능동 자기 베어링 방식의 자기 부상 원심성 혈액 펌프를 위한 유도성 근접 센서 개발)

  • Kim, H.I.;Kim, H.C.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.245-246
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    • 1998
  • AMB(Active Magnetic Bearing) systems are popularly used in various areas. In biomedical engineering applications it is a key part of magnetically suspended rotary blood pumps. The special advantage of AMBs is that they enable the rotor to revolve with no physical contact and provide rotary blood pumps with better performances such as low hemolysis level. Fundamentally, AMB systems consist of three parts, proximity sensors for distance detection, microprocessor for control algorithm and power amplifiers for actuating electromagnets. We have developed an inductive type proximity sensor with satisfactory characteristics that can be used in AMB systems. Frequency response was flat at least up to 10 kHz and sensitivity, resolution$(>5{\mu}m)$ and sensing range(<5mm) of the sensor could be adjustable for various purposes. The characteristics of the completed model showed to have satisfactory behaviors compared with the commercially available ones that already appeared to have reliable behaviors in AMB systems.

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Optical proximity sensor design and its application to PUMA 560 robot manipulator (로보트 매니퓨레이타 제어를 위한 광학적 근접센서의 설계 및 그 응용)

  • 고명삼;송진일
    • 제어로봇시스템학회:학술대회논문집
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    • 1986.10a
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    • pp.49-54
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    • 1986
  • In this paper we deal with a method of controlling PUMA 560 robot manipulator using a newly developed optical proximity sensor and the PDP-11/44 computer. The sensor output is different somewhat depending on an color of the object. The range of sensing vary from 38.4mm to 109.5mm for a real object, 39mm to 111.65mm for yellow, and 40.55mm to 107.25mm for blue. When an obstacle is encountered on the path of end-effector the system acknowledger immediatly the existence of the obstacle : and holds the motion of arm at a given distance. And also the system is capable of making the end effector avoid the obstacle automatically and keep on its motion.

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Design of a BPSK Transceiver for the Direction Finding Proximity Fuze Sensor for Anti-air missiles (방향 탐지용 대공 근접 신관센서의 BPSK 송수신기 설계에 관한 연구)

  • Choi, Jae-Hyun;Lee, Seok-Woo;Yeom, Kyung-Whan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.1
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    • pp.81-88
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    • 2013
  • This paper describes the fundamentals, design, realization and test results of a BPSK(Bi Phase Shift Keying) transceiver for the direction finding proximity fuze sensor for anti-aircrafts or air missiles. The BPSK transceiver for the direction finding fuze sensor has been designed to detect a moving target by Doppler signal processing with the code correlation method and to distinguish direction by comparing received powers of each Doppler signal from adjacent three receiving antennas. The electrical and ESS(Environmental Stress Screening) tests of the BPSK transceiver showed satisfactory results and target detection and direction finding performances proved to be successful through dynamic operation tests by 155 mm gun firing.

A Study of the Apply Proximity Sensor for Improved Reliability Axle Detection (열차 차축검지 신뢰성 향상을 위한 근접센서 방식 Axle Counter 적용 연구)

  • Park, Jae-Young;Choi, Jin-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.8
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    • pp.5534-5540
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    • 2015
  • This In the railway signaling system, applications of axle counter in addition to track circuit goes on increasing for detecting train position. Consequently, this paper compares sensor methods of axle counter with between geo-magnetism method and proximity sensor method. And it presents differences and results, to improve reliabilities of train detection and axle counting. Also, this article presents an applied result which is based on field experience, with regard to installation, considering attachment condition of sensor part for accurate axle counting. This study acquires expandability that is able to perform not only axle counting function but also various other functions (direction detection of train, speed detection of train, and so on). It was a result of a change of design in order to judge phase difference of sensors, to improve reliability of axle counting. Furthermore, it does not subordinate to characteristics (type, weight of train). And it is confirmed that the omission of axle counting was not occurred in 350km/h. This was the result of Lab test after the construction of transfer equipment of trial axle and Test Bed for axle counting. Both of them are self-productions. Through this, it prepares foundation which is able to apply not only to train detection but also to speed of passing trains, formation number of trains, detector locking condition - when the train passes the section of switch point, and level crossing devices. Furthermore, it would be judged to contribute safety train operation if proximity sensor method applies to the whole railway signaling system from now on.