• 제목/요약/키워드: occupancy sensor

검색결과 47건 처리시간 0.033초

단일 초음파센서를 이용한 자율 주행 로봇의 경로 계획용 지도작성 (Map-Building for Path-Planning of an Autonomous Mobile Robot Using a Single Ultrasonic Sensor)

  • 김영근;김학일
    • 대한전기학회논문지:시스템및제어부문D
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    • 제51권12호
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    • pp.577-582
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    • 2002
  • The objective of this paper is to produce a weighted graph map for path-planning of an autonomous mobile robot(AMR) based on the measurements from a single ultrasonic sensor, which are acquired when the autonomous mobile robot explores unknown indoor circumstance. The AMR navigates in th unknown space by following the wall and gathers the range data using the ultrasonic sensor, from which the occupancy grid map is constructed by associating the range data with occupancy certainties. Then, the occupancy grid map is converted to a weighted graph map suing morphological image processing and thinning algorithms. the path- planning for autonomous navigation of a mobile robot can be carried out based on the occupancy grid map. These procedures are implemented and tested using an AMR, and primary results are presented in this paper.

초음파센서를 이용한 자율 주행 로봇의 경로 계획용 지도작성 (Map building for path planning of an autonomous mobile robot using an ultrasonic sensor)

  • 이신제;오영선;김학일;김춘우
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.900-903
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    • 1996
  • The objective of this paper is to make the weighted graph map for path planning using the ultrasonic sensor measurements that are acquired when an A.M.R (autonomous mobile robot) explores the unknown circumstance. First, The A.M.R navigates on unknown space with wall-following and gathers the sensor data from the environments. After this, we constructs the occupancy grid map by interpreting the gathered sensor data to occupancy probability. For the path planning of roadmap method, the weighted graph map is extracted from the occupancy grid map using morphological image processing and thinning algorithm. This methods is implemented on an A.M.R having a ultrasonic sensor.

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정규분포를 이용한 재실감지 센서의 시간지연 설정 (Adjustment of delay time of occupancy sensor using normal distribution)

  • 정영훈;송상빈;곽재영;여인선
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 G
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    • pp.3156-3158
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    • 1999
  • Occupancy sensor is a efficient light control system which light on/off automatically and reduces the unnecessary power waste. From now the research on occupancy sensor is restricted to the selection of the appropriate place or sensor. Exist occupancy sensor changes the delay time by manually to the place or situation, so it is unreliable. The delay time can been changed by the average time of the occupied and the preset time, but it is not enough to reliable. In this paper, so to acquire the reliance the average and the standard deviation of the occupied time change the delay time automatically and protect the malfunction from the detector. And to embody it, AT89C52 microcontroller is adopted to the control circuit. It is verified by simulation and experiment results of output characteristic for randomized input.

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IoT 센서 데이터를 이용한 단위실의 재실추정을 위한 Decision Tree 알고리즘 성능분석 (A Study on Occupancy Estimation Method of a Private Room Using IoT Sensor Data Based Decision Tree Algorithm)

  • 김석호;서동현
    • 한국태양에너지학회 논문집
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    • 제37권2호
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    • pp.23-33
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    • 2017
  • Accurate prediction of stochastic behavior of occupants is a well known problem for improving prediction performance of building energy use. Many researchers have been tried various sensors that have information on the status of occupant such as $CO_2$ sensor, infrared motion detector, RFID etc. to predict occupants, while others have been developed some algorithm to find occupancy probability with those sensors or some indirect monitoring data such as energy consumption in spaces. In this research, various sensor data and energy consumption data are utilized for decision tree algorithms (C4.5 & CART) for estimation of sub-hourly occupancy status. Although the experiment is limited by space (private room) and period (cooling season), the prediction result shows good agreement of above 95% accuracy when energy consumption data are used instead of measured $CO_2$ value. This result indicates potential of IoT data for awareness of indoor environmental status.

재실감지 센서와 스마트 플러그를 이용한 에너지 절약 시스템 (Energy Saving System using Occupancy Sensors and Smart Plugs)

  • 정경권;서춘원
    • 전자공학회논문지
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    • 제52권10호
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    • pp.161-167
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    • 2015
  • 본 논문에서는 첨단 주택에서 가전기기 에너지 절약을 위한 재실 기반 에너지 절약 시스템을 제안하였다. 제안된 시스템은 센싱 시스템과 홈 게이트웨이 시스템으로 구성된다. 센싱 시스템은 사람의 움직임을 감지하는 PIR 센서를 장착한 무선 센싱 노드와 CT센서를 이용하여 전류 사용량을 측정하고 무선으로 전달하는 스마트 플러그로 구성된다. 스마트 플러그를 이용하여 가전기기의 전류 소모량을 측정하고, 방과 문에 설치한 재실 감지 센서를 이용하여 거주자의 재실 유무를 확인하였다. 제안한 시스템은 부재 공간의 불필요한 전기 에너지 사용량을 스위치를 끔으로서 절약한다. 실험 결과 재실 기반으로 전기 에너지를 절약한다면 약 34%를 절약할 수 있음을 확인하였다.

Noise Removal for Improvement of Occupancy-grid Map

  • Kim, Young-Geun;Choi, Chang-Min;Kim, Hak-Il
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.138.4-138
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    • 2001
  • The purpose of this research is to build a quality-improved occupancy grid map for path-planning of an autonomous mobile robot(AMR) based on the measurements from a single ultrasonic sensor, which are acquired when the autonomous mobile robot explores unknown indoor environment. The AMR navigates in the unknown space by following the wall and gathers the range data using the ultrasonic sensor, from which the occupancy grid map is constructed by associating the range data with occupancy certainties. In order to increase the quality of the map we modify the Bayesian probability updating rule, reject non-systematic measurement errors and correct the predictable error of the AMR itself. These procedures are implemented and tested using an AMR, and primary results are presented in this paper.

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지능형 재실 감지 서비스를 위한 능동형 RFID의 적용 타당성 연구 (Feasibility Research of the Active RFIDs for the Smart Occupancy Detection)

  • 최연석;박병태
    • 대한안전경영과학회지
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    • 제13권2호
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    • pp.147-155
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    • 2011
  • For an effective energy management in intelligent buildings it is necessary to gather information about position/absence of people and the level of population. In this paper the smart occupancy detection system based on the active RFID is developed to satisfy such a demand. The performance of the developed system is tested and verified through various experiments. Furthermore the feasibility test of the active RFID tag is performed to verify whether it can be used as a location-based occupancy sensor. The developed core technology can be also applied to other fields such as security, healthcare, smart home, etc.

인체감지 센서의 시간지연 설정 (Automatic setting of delay time of an occupancy sensor using an adder circuit)

  • 정영훈;송상빈;여인선
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 1998년도 학술발표회논문집
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    • pp.162-165
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    • 1998
  • A certain degree of energy saving can be possible by controlling the delay time of occupancy sensor. In this paper a control circuit is designed for automatic control of delay time setting appropriate to different situations using a digital counter, two latches and an adder. The delay time is controlled by adjusting the time constant of RC circuit through on-off control of switching devices according to adder output, which determines the base current level of switching devices. And from PSpice simulation it is verified to function properly.

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카메라 비전 센서를 활용하는 실시간 사람 점유 검출 (Real-time People Occupancy Detection by Camera Vision Sensor)

  • 길종인;김만배
    • 방송공학회논문지
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    • 제22권6호
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    • pp.774-784
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    • 2017
  • 빌딩, 집에 설치되어 있는 점유센서는 사람이 없으면 소등하고, 반대이면 점등한다. 현재는 주요 센서로 PIR(pyroelectric infra-red)이 널리 사용되고 있다. 최근에 비전 카메라 센서를 이용하여 사람 점유를 검출하는 연구가 진행되고 있다. 카메라 센서는 정지된 사람을 검출할 수 없는 PIR의 단점을 극복할 수 있는 장점이 있다. 또한 카메라 센서는 사람의 행위 분석, 사람 트랙킹 등 PIR이 제공할 수 없는 기능을 가지기 때문에 향후 가격 대비 성능이 만족되면 PIR을 대체할 것으로 기대된다. 본 논문에서는 PIR 센서의 단점을 극복하기 위해서 카메라를 이용한 점유센서 기법을 제안한다. 제안 방법은 트랙킹, 인식, 검출의 3가지 단계로 구성되어 점유검출의 효율성을 높힌다. 실시간 처리도 중요한 성능이므로 처리 속도가 향상되도록 설계되었다. 비디오 프레임은 USB로 15fps로 입력되는데, 본 소프트웨어는 14.5fps로 처리한다. 점유 성능 검증에서는 82%의 정확도를 얻었다.

Occupancy 센서와 도플러 Radar를 이용한 침상 모니터링 시스템 (Bed Side Monitoring System using Occupancy Sensor and Doppler Radar)

  • 강병욱;유선국
    • 한국멀티미디어학회논문지
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    • 제21권3호
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    • pp.382-390
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    • 2018
  • A major accident occurring on the bed is falls that occur during at times when the care of nurses or protectors is inadequate, which is fatal to patients or the elderly. In particular, Enuresis or sleepiness caused by sleep apnea increases the risk of falls. Therefore, it is very important to detect falls and sleep apnea of patients without infringing privacy in the bed to patient's safety and accident prevention. In this paper, we reviewed the technologies developed for bed monitoring and implemented a non-intrusive monitoring system. The Occupancy Sensor allows the temperature of the bed and surrounding area to be extracted to enable track of the patient's motion. The Doppler Radar detects the patient's movements at normal times and the respiration state when patients have no movement during sleeping. It is specially designed for real-time monitoring of falling and respiration during sleeping through contactless multi-sensing while solving patient's privacy problems.