• Title/Summary/Keyword: Sensor operating system

검색결과 625건 처리시간 0.128초

SAW 디바이스를 이용한 냄새물질 측정 및 냄새센서 시스템의 연구 (Detection of odorants and study on the odorant sensor system by using SAW device)

  • 장상목;김기영;김종민;최용성;권영수
    • E2M - 전기 전자와 첨단 소재
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    • 제8권1호
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    • pp.48-55
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    • 1995
  • A surface acoustic wave (SAW) sensor for the detection of odorants has been constructed by depositing various phospholipids and fatty acids onto the surface of the SAW device. The characteristics of a SAW device operating at 310 MHz deposited with silicon monoxide were analyzed. Menthone, amylacetate, acetoin, and other organic gases show different affinities to the coated lipids. An explanation is given for different odorant affinities based on the monolayer properties of phospholipids. The identification of odorants depending on the tkpe of lipid used for coating is discussed in terms of the similarity of their normalized resonant frequency shift patterns. Using a number of different lipid-coated SAW devices, odorants can be identified by a computerized pattern recognition algorithm.

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연속 수위 검출 신호 처리에 대한 연구 (A Study on a process for signal to detect the continuous position of liquid)

  • 배상준;채수형
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 학술대회 논문집 전문대학교육위원
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    • pp.178-183
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    • 2002
  • In this paper, the capacitive sensor which can detect the continuous position of liquid is proposed. The proposed sensor make up copper rod's defect which are oxidized in liquid and float switch's defect which are tired of continuous movements. This sensor make use of what capacitance is varying due to quantity and kind of dielectric in the plane gap. The operating principle of the sensor and the amplifying methode of detecting signal and the methode of apply in computer control system are presented in this paper.

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ROS 기반 자율주행 알고리즘 성능 검증을 위한 시뮬레이션 환경 개발 (Development of Simulation Environment for Autonomous Driving Algorithm Validation based on ROS)

  • 곽지섭;이경수
    • 자동차안전학회지
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    • 제14권1호
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    • pp.20-25
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    • 2022
  • This paper presents a development of simulation environment for validation of autonomous driving (AD) algorithm based on Robot Operating System (ROS). ROS is one of the commonly-used frameworks utilized to control autonomous vehicles. For the evaluation of AD algorithm, a 3D autonomous driving simulator has been developed based on LGSVL. Two additional sensors are implemented in the simulation vehicle. First, Lidar sensor is mounted on the ego vehicle for real-time driving environment perception. Second, GPS sensor is equipped to estimate ego vehicle's position. With the vehicle sensor configuration in the simulation, the AD algorithm can predict the local environment and determine control commands with motion planning. The simulation environment has been evaluated with lane changing and keeping scenarios. The simulation results show that the proposed 3D simulator can successfully imitate the operation of a real-world vehicle.

영상변류기 동작 방식을 이용한 2개의 컨버터 병렬 운전시 고장 탐지 및 분리 (Fault Detection and Isolation of Parallel Operation of Two Converters Using Zero Current Transformer Method)

  • 손승찬;성세진
    • 전력전자학회논문지
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    • 제5권4호
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    • pp.409-416
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    • 2000
  • 시스템 특성상 fault tolerant system을 위해 두개의 컨버티를 1개의 전류센서를 사용하여 영상변류기 동적 방식으토 병렬 운전하는 경우 컨버터에 고자이 발생하면 영상변류기 출력은 두 컨버터 공급 전류 차이이므로, 어떤 컨버터에서 고장이 발생하였는지 고정 탐지 및 분리가 곤란히였다. 본 논문에사는 fault tolerant system를 위해 2 개의 컨버터를 병렬 운전하는 경우 캔버터의 고장 탐지 및 분리를 위한 방안올 제시하고 실험을 통하여 제안한 방법의 타당성을 확인하였다.

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An Embedded system for real time gas monitoring using an ART2 neural network

  • Cho, Jung-Hwan;Shim, Chang-Hyun;Lee, In-Soo;Lee, Duk-Dong;Jeon, Gi-Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.479-482
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    • 2003
  • We propose a real time gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method and an ART2 neural network as a pattern recognition method. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602 and an MSP430 ultra-low power microcontroller in the test chamber.

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제조업의 산업재해 예방을 위한 u-Safety 시스템 구축: 'H'기업 적용사례 (Implementation of u-Safety System for Preventing Industrial Disaster in Manufacturing Industries : The Case Study of 'H' Cooperation)

  • 장길상;이종섭
    • 한국정보시스템학회지:정보시스템연구
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    • 제18권1호
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    • pp.145-157
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    • 2009
  • If industrial disasters happen at workplace, work's desires of workers and business activities may be dispirited. Especially, industrial disasters frequently happen in the field of heavy and chemical industry companies. According to report of the korea occupational safety and health agency(KOSHA), damage due to industrial disasters is more 5 times than losses due to industrial strifes. Thus, in these manufacturing companies, a safety management field for preventing industrial disasters is emerging as an important factor of business activities. This paper proposes an industrial disaster prediction model for safety management and also implements industrial safety management system(after this, is called as u-Safety system) based on the proposed model using ubiquitous computing technologies like USN(ubiquitous sensor networks) which are given much attention among recent information technologies. The implemented system is successfully operating in the shipbuilding division of 'H' companies.

철도 승강장 선로의 침입자 및 장애물 검지시스템에 관한 연구 (Rail Intruder and Obstacle Detection System for Railway Platform)

  • 김유호;김진철;최권희;편선호;황종규
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2009년도 춘계학술대회 논문집
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    • pp.872-878
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    • 2009
  • Passenger safety is a primary concern of the railway system. However, dozens of people are killed every year when they accidently fall on to the track from the boarding platform. This is one of the most urgent issues to solve regarding the railway platform. The installation environment, and the blind area problems as well as maintenance and operating costs which are not efficient have to be looked at. To solve these problems, we propose a 3D laser radar sensor based monitoring system for the railway platform. This paper introduces an overview, the detecting method, and the interface with the signalling system in detecting a fallen passenger from the platform using the 3D laser radar sensor.

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로봇운영체제를 이용한 보트의 자율운항 알고리즘 개발 (Development of Autonomous Algorithm for Boat Using Robot Operating System)

  • 조현재;김정현;김수림;우주현;박종용
    • 대한조선학회논문집
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    • 제58권2호
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    • pp.121-128
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    • 2021
  • According to the increasing interest and demand for the Autonomous Surface Vessels (ASV), the autonomous navigation system is being developed such as obstacle detection, avoidance, and path planning. In general, autonomous navigation algorithm controls the ship by detecting the obstacles with various sensors and planning path for collision avoidance. This study aims to construct and prove autonomous algorithm with integrated various sensor using the Robot Operating System (ROS). In this study, the safety zone technique was used to avoid obstacles. The safety zone was selected by an algorithm to determine an obstacle-free area using 2D LiDAR. Then, drift angle of the ship was controlled by the propulsion difference of the port and starboard side that based on PID control. The algorithm performance was verified by participating in the 2020 Korea Autonomous BOAT (KABOAT).

베어링 고장 예후검출을 위한 음향 방출(AE)센서 개발 (Development of Acoustic Emission(AE) Sensor for Prognosis Detection of Bearing Fault)

  • 이치범;김경우;박영일
    • 한국소음진동공학회논문집
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    • 제24권6호
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    • pp.429-436
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    • 2014
  • Most mechanical systems are now operating consistently and getting faster due to the development of automation systems. Peoples' dependence on machines have increased as when problems occur within the mechanical system, personal injury and production loss may come as a result, as most of the mechanical system's malfunctions are caused by the failure of the rotational bearing. What we need now is a maintenance system that can warn us when it detects abnormal conditions before significant damage occurs to the bearing. In this study, we have developed an acoustic emissions sensor that can figure if the bearing works under the normal condition. With this acoustic emissions sensor, we can inspect the bearing for defects by using the Heterodyne technique, which converts the ultrasound signal into audio, as a signal conditioning process.

전력소모량 및 실행시간 추정이 가능한 센서 네트워크 시뮬레이터의 개발 (Development of Sensor Network Simulator for Estimating Power Consumption and Execution Time)

  • 김방현;김태규;정용덕;김종현
    • 한국시뮬레이션학회논문지
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    • 제15권1호
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    • pp.35-42
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    • 2006
  • 유비쿼터스 컴퓨팅의 인프라가 되는 센서 네트워크는 매우 작은 하드웨어로 이루어지는 많은 수의 센서 노드들로 구성된다. 이 네트워크의 토폴로지와 라우팅 방식은 그 목적에 따라 결정되어야 하며, 하드웨어 및 소프트웨어도 필요한 경우에는 변경되어야 한다. 따라서 그러한 네트워크를 최적으로 설계하기 위해서는 시스템 동작을 확인하고 성능을 예측할 수 있는 센서 네트워크 시뮬레이터가 필요하다. 현존하는 몇몇 센서 네트워크 시뮬레이터들은 특정 하드웨어나 운영체제에 맞추어 개발되었기 때문에, 그러한 특정 시스템들을 위해서만 사용될 수 있다. 그리고 시스템 설계 상의 주요 이슈가 되는 전력 소모량 및 프로그램 실행 시간을 추정하기 위한 어떤 수단도 지원하지 못하고 있다. 이 연구에서는 응용이나 운영체제의 종류에 상관없이 다양한 센서 네트워크들의 설계 및 검증에 사용될 수 있는 시뮬레이터를 개발하였다. 이를 위하여, 시뮬레이터는 기계어-레벨 이산-사건 시뮬레이션 방식을 사용하였다. 따라서 이 시뮬레이터는 프로그램 실행 타이밍 뿐 아니라 실제 센서 노드 내부의 동작들도 세부적으로 분석하는 데도 사용될 수 있다. 이 연구에서 시뮬레이션의 작업부하인 명령어 트레이스로는 ATmega128L 마이크로컨트롤러용 크로스컴파일러에 의해 생성된 실행 이미지를 사용하였다.

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