• 제목/요약/키워드: Multiple sensors

검색결과 724건 처리시간 0.023초

다양한 지문 영상에 강인한 지문인식 시스템 개발 (Development of a Fingerprint Recognition System for Various Fingerprint Image)

  • 이응봉;전성욱;유춘우;김학일
    • 대한전자공학회논문지SP
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    • 제40권6호
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    • pp.10-19
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    • 2003
  • 현재 상용화된 지문인식 시스템은 지문 입력기를 구동하는데 필요한 함수가 표준화 되어있지 않기 때문에 입력기 사이의 호환이 불가능하다. 본 연구의 목적은 지문인식 시스템이 대중화됨에 따라 앞으로 지문인식 시장에서 수요가 예상되는 다양한 지문 입력기 사이의 지문인식이 가능한 시스템의 개발이다. 본 논문에서는 광학식, 반도체식, 열감지 방식의 지문 입력기를 대상으로 하여 지문인식 시스템을 설계 구현하였으며, 융선 개수 정보의 추출 방법과 융선 개수 정보를 이용한 정합 방법을 제안하였다.

프레스 자동화 공정을 위한 비전 기반 블랭크 정렬 장치 개발 (Development of a Vision-based Blank Alignment Unit for Press Automation Process)

  • 오종규;김대식;김수종
    • 제어로봇시스템학회논문지
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    • 제21권1호
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    • pp.65-69
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    • 2015
  • A vision-based blank alignment unit for a press automation line is introduced in this paper. A press is a machine tool that changes the shape of a blank by applying pressure and is widely used in industries requiring mass production. In traditional press automation lines, a mechanical centering unit, which consists of guides and ball bearings, is employed to align a blank before a robot inserts it into the press. However it can only align limited sized and shaped of blanks. Moreover it cannot be applied to a process where more than two blanks are simultaneously inserted. To overcome these problems, we developed a press centering unit by means of vision sensors for press automation lines. The specification of the vision system is determined by considering information of the blank and the required accuracy. A vision application S/W with pattern recognition, camera calibration and monitoring functions is designed to successfully detect multiple blanks. Through real experiments with an industrial robot, we validated that the proposed system was able to align various sizes and shapes of blanks, and successfully detect more than two blanks which were simultaneously inserted.

다중이동물체 인식을 위한 분산형 지능형네트워크 디바이스로 구현된 공간지능화 (A Study on ISpace with Distributed Intelligent Network Devices for Multi-object Recognition)

  • 진태석;김현덕
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2007년도 추계종합학술대회
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    • pp.950-953
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    • 2007
  • 본 논문에서는 인간과 환경사이의 물리적 또는 심리적 인터액션을 통한 인간중심의 적절한 서비스를 제공하는 공간지능화(iSpace: Intelligent Space) 구현하고자 네트웍 센서 인식공간을 소개하고 있다. 영상 데이터 처리 및 정보 네트웍 기능을 갖는 다수의 컬러 CCD 카메라를 iSpace 공간에 분산 배치하였다. iSpace내의 정보획득을 위한 네트웍 센서를 분산 지능형 네트웍 디바이스(DIND: Distributed Intelligent Network Devices)라고 명명하고 있으며, 각 DIND는 일종의 클라이언트 역할을 수행하도록 하였으며, DIND는 카메라 센서를 이용하는 이른바 카메라 네트워크를 구성한 것으로 이를 통해 실내 환경을 인식하고 모델링 하며 공간 내 거주자의 의도를 인식하기 위한 시스템을 구축하였다.

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적응모델을 이용한 단일채널 능동 소음제어 (Single Channel Active Noise Control using Adaptive Model)

  • 김영달;이민명;정창경
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권8호
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    • pp.442-450
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    • 2000
  • Active noise control is an approach to noise reduction in which a secondary noise source that destructively interferes with the unwanted noise. In general, active noise control systems rely on multiple sensors to measure the unwanted noise field and the effect of the cancellation. This paper develops an approach that utilizes a single sensor. The noise field is modeled as a stochastic process, and a time-adaptive algorithm is used to adaptively estimate the parameters of the process. Based on these parameter estimates, a canceling signal is generated. Opppenheim model assumed that transfer function characteristics from the canceling source to the error sensor is only propagation delay. But this paper proposes a modified Oppenheim model by considering transfer characteristics of acoustic device and noise path. This transfer characteristics is adaptively cancelled by adaptive model. This is proved by computer simulation with artifically generated random noise and sine wave noise. The details of the proposed architecture, and theoretical simulation and experimental results of the noise cancellation system for three dimension enclosure are presented in the paper.

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Synthesis and Characterization of 2, 6-Di-(4'-Methyl Phenyl) Pyrylium Fluoroborate and Perchlorate in Single Step Salts Using 4'-Methyl Acetophenone

  • Wie, Jin-Hyeong;Hong, Young-Min;Kim, Hyun-Ook;Kim, Kyung-Hoon;Cho, Sung-Il
    • 센서학회지
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    • 제21권1호
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    • pp.13-20
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    • 2012
  • Due to its high conductivity, pyrylium has been frequently used in electron transfer reactions or in the synthesis of various organic materials. It has also been used as a sensor material. Traditionally, the compounds have been synthesized using various methods; mostly in a multiple steps. In this study, two pyrylium salts, 2, 6-di-(4'-methylphenyl) pyrylium fluoroborate and perchlorate were synthesized. The synthesis of these products was confirmed by 1H-NMR, LC/TOF-MS and FT-IR analyses while their photo-properties were analyzed using UV/VIS spectrophotometry. In addition, the electron transfer capacities of the salts were analyzed with a conductivity meter, it was found that their electron conductivities were high. When the synthesized compounds were dissolved in acetone, a green fluorescent material was observed to form. The fluorescent material can be used as a sensitizer in the electrical industry.

Segment-based Image Classification of Multisensor Images

  • Lee, Sang-Hoon
    • 대한원격탐사학회지
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    • 제28권6호
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    • pp.611-622
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    • 2012
  • This study proposed two multisensor fusion methods for segment-based image classification utilizing a region-growing segmentation. The proposed algorithms employ a Gaussian-PDF measure and an evidential measure respectively. In remote sensing application, segment-based approaches are used to extract more explicit information on spatial structure compared to pixel-based methods. Data from a single sensor may be insufficient to provide accurate description of a ground scene in image classification. Due to the redundant and complementary nature of multisensor data, a combination of information from multiple sensors can make reduce classification error rate. The Gaussian-PDF method defines a regional measure as the PDF average of pixels belonging to the region, and assigns a region into a class associated with the maximum of regional measure. The evidential fusion method uses two measures of plausibility and belief, which are derived from a mass function of the Beta distribution for the basic probability assignment of every hypothesis about region classes. The proposed methods were applied to the SPOT XS and ENVISAT data, which were acquired over Iksan area of of Korean peninsula. The experiment results showed that the segment-based method of evidential measure is greatly effective on improving the classification via multisensor fusion.

CANopen 표준 기반 멀티 엔코더 관리 시스템의 구현 (Implementation of Multi-encoder Management System based on CANopen Protocol)

  • 안효성;김태현
    • 대한기계학회논문집A
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    • 제41권6호
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    • pp.533-541
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    • 2017
  • 최근 컴퓨터 및 통신기술의 적극적인 결합에 따른 생산 시스템의 자동화 및 지능화가 급속하게 진행됨에 따라, 자동화 시스템의 핵심 요소 중 하나인 스마트 센서를 내장한 필드 장치들의 수도 급격하게 증가하고 있으며 이들을 통합 관리할 필요성도 높아지고 있다. 본 논문에서는 엔코더의 위치 데이터 센싱 기능과 CANopen 프로토콜을 결합한 스마트 엔코더 구조를 제안하고, 복수 개의 엔코더를 CAN 네트워크를 통해 동시에 관리, 모니터링할 수 있는 시스템 구조를 설계, 구현하였다. 구현한 시스템의 성능과 기능적 동작은 상용 엔코더와의 비교 실험과 CANopen 호환성 테스트를 이용하여 검증하였다.

6DOF Simulation of a Floating Structure Model Using a Single Video

  • Trieu, Hang Thi;Han, Dongyeob
    • 한국측량학회지
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    • 제32권6호
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    • pp.563-570
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    • 2014
  • This paper purposes on stimulating the dynamic behavior of a floating structure model with the image processing and the close-range photogrammetry, instead of the contact sensors. Previously, the movement of structures was presented by the exterior orientation estimation from a single camera following the space resection. The inverse resection yields to 6 orientation parameters of the floating structure, with respect to the camera coordinates system. The single camera solution of interest in applications is characterized by the restriction in terms of costs, unfavorable observation conditions, or synchronization demands when using multiple cameras. This paper discusses the theoretical determinations of camera exterior orientation by using the least squares adjustment, applied of the values from the DLT (Direct Linear Transformation) and the photogrammetric resection. This proposed method is applied to monitor motions of a floating model. The results of 6DOF (Six Degrees of Freedom) from the inverse resection were signified that applying appropriate initial values from DLT in the least square adjustment is effective in obtaining precise exterior orientation parameters. Therefore, the proposed method can be concluded as an efficient solution to simulate movements of the floating structure.

토목 구조물 건전성 평가를 위한 무아레 프린지 기법 광섬유 가속도계 시스템 개발 (Geometric moire fringe fiber optic accelerometer system for monitoring civil infrastructures)

  • 김대현
    • 센서학회지
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    • 제15권1호
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    • pp.40-46
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    • 2006
  • This paper presents a novel fiber optic accelerometer system for monitoring vibration of large-size structures. The system is composed of one (or multiple) sensor head, a light control unit and a signal processing unit. The sensing mechanism of the sensor head is based on a novel integration of the moire fringe phenomenon with fiber optics to achieve a robust performance in addition to its immunity to EM interference, easy cabling, and low cost. In this paper, a prototype of the fiber optic accelerometer system has been developed successfully. A low-cost light control unit has been developed to drive the system's optic and electronic components. A unique algorithm has also been developed to derive the sensor's acceleration from the raw signals of the light control unit; it is implemented via a separate signal processing unit. Finally, the shaking table tests successfully demonstrate the performance and the potential of the moire fringe fiber optic sensor system to monitor the health of civil infrastructures.

u-헬스 센서 네트워크 시스템의 생체신호 압축 처리 (Application of Biosignal Data Compression for u-Health Sensor Network System)

  • 이용규;박지호;윤길원
    • 센서학회지
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    • 제21권5호
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    • pp.352-358
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    • 2012
  • A sensor network system can be an efficient tool for healthcare telemetry for multiple users due to its power efficiency. One drawback is its limited data size. This paper proposed a real-time application of data compression/decompression method in u-Health monitoring system in order to improve the network efficiency. Our high priority was given to maintain a high quality of signal reconstruction since it is important to receive undistorted waveform. Our method consisted of down sampling coding and differential Huffman coding. Down sampling was applied based on the Nyquist-Shannon sampling theorem and signal amplitude was taken into account to increase compression rate in the differential Huffman coding. Our method was successfully tested in a ZigBee and WLAN dual network. Electrocardiogram (ECG) had an average compression ratio of 3.99 : 1 with 0.24% percentage root mean square difference (PRD). Photoplethysmogram (PPG) showed an average CR of 37.99 : 1 with 0.16% PRD. Our method produced an outstanding PRD compared to other previous reports.