• Title/Summary/Keyword: Senor data

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Temperature and Humidity Monitoring Using Ubiquitous Senor Network in Railway Cabin (철도차량 객실 온습도 USN 모니터링 기술)

  • Kwon, Soon-Bark;Cho, Young-Min;Park, Duck-Shin;Park, Eun-Young;Kim, Se-Young;Jung, Mi-Young
    • Proceedings of the KSR Conference
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    • 2008.06a
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    • pp.948-951
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    • 2008
  • Ubiquitous sensor network (USN) based on ZigBee communication protocol has been used in various application fields, such as home-network, intelligent building and machine, logistics, environmental monitoring, military field, security field and etc. The ZigBee is targeted at radio-frequency application that require a low data rate, long battery life and secure network. Especially, the USN system can be applied efficiently to building-indoor where the complex geometry is adopted. In this study, all 90 points of railway cabin indoor were monitored for temperature and humidity using USN technology. All sensors were pre/post-calibrated and the temperature/humidity change were analyzed in a railway cabin in real-time. The results would be useful to develop the cabin heating, ventilating and air conditing (HVAC) system to meet all passengers' thermal comfort regardless of their seat position.

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Detection of Moving Direction using PIR Sensors and Deep Learning Algorithm

  • Woo, Jiyoung;Yun, Jaeseok
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.3
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    • pp.11-17
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    • 2019
  • In this paper, we propose a method to recognize the moving direction in the indoor environment by using the sensing system equipped with passive infrared (PIR) sensors and a deep learning algorithm. A PIR sensor generates a signal that can be distinguished according to the direction of movement of the user. A sensing system with four PIR sensors deployed by $45^{\circ}$ increments is developed and installed in the ceiling of the room. The PIR sensor signals from 6 users with 10-time experiments for 8 directions were collected. We extracted the raw data sets and performed experiments varying the number of sensors fed into the deep learning algorithm. The proposed sensing system using deep learning algorithm can recognize the users' moving direction by 99.2 %. In addition, with only one PIR senor, the recognition accuracy reaches 98.4%.

Development of Measurement System of Cutter Conditions for Combine Diagnosis (I) - Analysis of Vibration and Load Signals - (콤바인 예취부 고장진단을 위한 예취 칼날부의 진단 시스템 개발(I) - 진동 및 부하 신호 분석 -)

  • Choi, Chang-Hyun;Kim, Yong-Joo;Kim, Jong-Hyuck;Mun, Joung-Hwan
    • Journal of Biosystems Engineering
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    • v.32 no.3
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    • pp.190-196
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    • 2007
  • The purpose of this study is to develop a measurement system of cutter conditions for combine header diagnosis during rice harvesting. A load cell was installed at the locker-arm to measure load fluctuation and an acceleration senor was used to monitor vibration signal of cutter bar. The data were collected from a paddy field during harvesting. The tests were conducted with a normal cutter, a loosened cutter, a broken cutter, and a worn-out connecter pin at the field. The vibration signals converted by FFT (Fast Fourier Transformation), filtered, and normalized. The load data and peak values of vibration signals in four different frequency ranges were used to determine the cutting operation and the cutter conditions of combine. The multiple comparison tests showed that the load data and peak values of vibration signals were important to monitor the cutting operation and cutter conditions of combine header.

Update the finite element model of Canton Tower based on direct matrix updating with incomplete modal data

  • Lei, Y.;Wang, H.F.;Shen, W.A.
    • Smart Structures and Systems
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    • v.10 no.4_5
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    • pp.471-483
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    • 2012
  • In this paper, the structural health monitoring (SHM) benchmark problem of the Canton tower is studied. Based on the field monitoring data from the 20 accelerometers deployed on the tower, some modal frequencies and mode shapes at measured degrees of freedom of the tower are identified. Then, these identified incomplete modal data are used to update the reduced finite element (FE) model of the tower by a novel algorithm. The proposed algorithm avoids the problem of subjective selection of updated parameters and directly updates model stiffness matrix without model reduction or modal expansion approach. Only the eigenvalues and eigenvectors of the normal finite element models corresponding to the measured modes are needed in the computation procedures. The updated model not only possesses the measured modal frequencies and mode shapes but also preserves the modal frequencies and modes shapes in their normal values for the unobserved modes. Updating results including the natural frequencies and mode shapes are compared with the experimental ones to evaluate the proposed algorithm. Also, dynamic responses estimated from the updated FE model using remote senor locations are compared with the measurement ones to validate the convergence of the updated model.

Implementation of Wireless Automatic Control System for Vehicle Interior Environment (차량 내부 환경 제어용 무선 자동화 시스템 구현)

  • Cho, Hae-Seong;Cho, Ju-Phil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.5
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    • pp.287-291
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    • 2010
  • In this paper, we designed and implemented mobile object automatic system based on senor networks for telematics. For developing this system, we gather the various sensing data through wireless communication method using zigbee sensor networks and analyze them in monitoring equipment. And we enable the driver to recognize the car state information on the whole by interfacing analyzed data to telematics unit. And, we implemented automatic controller that can control temperature and humidity in car automatically by actuating air conditioner based on the data that was monitored throughout temperature sensor, humidity sensor and brightness sensor based on sensor networks.

Implementation of Sensor Network Monitoring System with Energy Efficiency Constraints (에너지 효율 제약조건을 가진 센서 네트워크 모니터링 시스템 구현)

  • Lee, Ki-Wook;Seong, Chang-Gyu
    • Journal of Korea Multimedia Society
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    • v.13 no.1
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    • pp.10-16
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    • 2010
  • As the study of ubiquitous computing environment has been very active in recent years, the senor network technology is considered to be a core technology of it. This wireless sensor network is enabled to sense and gather data of interest from its surroundings by sensor nodes applied in physical space. Each sensor node structuring the sensor network is demanded to execute the required service using limited resources. This limited usage of resources requires the sensor node to energy-efficiently perform in building wireless sensor network, which enables to extend the entire network life. This study structures a system able to monitor changing environment data on a real-time basis using a computer remotely as it energy-efficiently gathers and sends environment data of specific areas.

Design of Accident Situation ID Recording System using JPMP-SID Security Tag (보안 JPMP-SID Tag를 활용한 사고 상황 ID 기록 시스템 설계)

  • Choi, Jang-Sik;Choi, Sung-Yeol;Kim, Sang-Choon
    • Convergence Security Journal
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    • v.11 no.3
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    • pp.85-90
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    • 2011
  • JPMP SID Tag is the security senor tag to provides physical information protective function using sensor module, has impossible feature to copy and fake the data which is stored in the tag. So data which is stored in the JPMP SID Tag has authenticity, integrity, originality. Therefore JPMP SID Tag could be applied in the place where the security of data is demanded. This paper propose the system using the JPMP SID Tag to acquire and protect digital evidence where cause investigation of accident is necessary. Also, proposed systems is complement of software security with composition secondary control logic for JPMP SID tag access control.

A Localization Scheme Using Mobile Robot in Wireless Sensor Networks (무선 센서 네트워크에서 이동성 로봇을 이용한 센서 위치 인식 기법에 관한 연구)

  • Kim, Woo-Hyun
    • Journal of the Korean Society of Industry Convergence
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    • v.10 no.2
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    • pp.105-113
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    • 2007
  • Accurate and low-cost sensor localization is a critical requirement for the deployment of wireless sensor networks in a wide variety of application. Sensor position is used for its data to be meaningful and for energy efficient data routing algorithm especially geographic routing. The previous works for sensor localization utilize global positioning system(GPS) or estimate unknown-location nodes position with help of some small reference nodes which know their position previously. However, the traditional localization techniques are not well suited in the senor network for the cost of sensors is too high. In this paper, we propose the sensor localization method with a mobile robot, which knows its position, moves through the sensing field along pre-scheduled path and gives position information to the unknown-location nodes through wireless channel to estimate their position. We suggest using the sensor position estimation method and an efficient mobility path model. To validate our method, we carried out a computer simulation, and observed that our technique achieved sensor localization more accurately and efficiently than the conventional one.

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A Learning-based Power Control Scheme for Edge-based eHealth IoT Systems

  • Su, Haoru;Yuan, Xiaoming;Tang, Yujie;Tian, Rui;Sun, Enchang;Yan, Hairong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.12
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    • pp.4385-4399
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    • 2021
  • The Internet of Things (IoT) eHealth systems composed by Wireless Body Area Network (WBAN) has emerged recently. Sensor nodes are placed around or in the human body to collect physiological data. WBAN has many different applications, for instance health monitoring. Since the limitation of the size of the battery, besides speed, reliability, and accuracy; design of WBAN protocols should consider the energy efficiency and time delay. To solve these problems, this paper adopt the end-edge-cloud orchestrated network architecture and propose a transmission based on reinforcement algorithm. The priority of sensing data is classified according to certain application. System utility function is modeled according to the channel factors, the energy utility, and successful transmission conditions. The optimization problem is mapped to Q-learning model. Following this online power control protocol, the energy level of both the senor to coordinator, and coordinator to edge server can be modified according to the current channel condition. The network performance is evaluated by simulation. The results show that the proposed power control protocol has higher system energy efficiency, delivery ratio, and throughput.

Efficient Packet Transmission Method for Fast Data Dissemination in Senor Node (센서노드에서의 빠른 데이터 전달을 위한 효율적 패킷 전송 기법)

  • Lee, Joa-Hyoung;Jung, In-Bum
    • Journal of Industrial Technology
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    • v.27 no.B
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    • pp.235-243
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    • 2007
  • Sensor network is used to obtain sensing data in various area. The interval to sense the events depends on the type of target application and the amounts of data generated by sensor nodes are not constant. Many applications exploit long sensing interval to enhance the life time of network but there are specific applications that requires very short interval to obtain fine-grained, high-precision sensing data. If the number of nodes in the network is increased and the interval to sense data is shortened, the amounts of generated data are greatly increased and this leads to increased amount of packets to transfer to the network. To transfer large amount of packets fast, it is necessary that the delay between successive packet transmissions should be minimized as possible. In Sensor network, since the Operating Systems are worked on the event driven, the Timer Event is used to transfer packets successively. However, since the transferring time of packet completely is varies very much, it is very hard to set appropriate interval. The longer the interval, the higher the delay and the shorter the delay, the larger the fail of transfer request. In this paper, we propose ESTEO which reduces the delay between successive packet transmissions by using SendDone Event which informs that a packet transmission has been completed.In ESTEO, the delay between successive packet transmissions is shortened very much since the transmission of next packet starts at the time when the transmission of previous packet has completed, irrespective of the transmission timee. Therefore ESTEO could provide high packet transmission rate given large amount of packets.

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