• Title/Summary/Keyword: software sensor

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Anomaly Event Detection Algorithm of Single-person Households Fusing Vision, Activity, and LiDAR Sensors

  • Lee, Do-Hyeon;Ahn, Jun-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.6
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    • pp.23-31
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    • 2022
  • Due to the recent outbreak of COVID-19 and an aging population and an increase in single-person households, the amount of time that household members spend doing various activities at home has increased significantly. In this study, we propose an algorithm for detecting anomalies in members of single-person households, including the elderly, based on the results of human movement and fall detection using an image sensor algorithm through home CCTV, an activity sensor algorithm using an acceleration sensor built into a smartphone, and a 2D LiDAR sensor-based LiDAR sensor algorithm. However, each single sensor-based algorithm has a disadvantage in that it is difficult to detect anomalies in a specific situation due to the limitations of the sensor. Accordingly, rather than using only a single sensor-based algorithm, we developed a fusion method that combines each algorithm to detect anomalies in various situations. We evaluated the performance of algorithms through the data collected by each sensor, and show that even in situations where only one algorithm cannot be used to detect accurate anomaly event through certain scenarios we can complement each other to efficiently detect accurate anomaly event.

Intelligent Air Quality Sensor System with Back Propagation Neural Network in Automobile

  • Lee, Seung-Chul;Chung, Wan-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.468-471
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    • 2005
  • The Air Quality Sensor(AQS), located near the fresh air inlet, serves to reduce the amount of pollution entering the vehicle cabin through the HVAC(heating, ventilating, and air conditioning) system by sending a signal to close the fresh air inlet door/ventilation flap when the vehicle enters a high pollution area. One chip sensor module which include above two sensing elements, humidity sensor and bad odor sensor was developed for AQS (air quality sensor) in automobile. With this sensor module, PIC microcontroller was designed with back propagation neural network to reduce detecting error when the motor vehicles pass through the dense fog area. The signal from neural network was modified to control the inlet of automobile and display the result or alarm the situation. One chip microcontroller, Atmega128L (ATmega Ltd., USA) was used. For the control and display. And our developed system can intelligently detect the bad odor when the motor vehicles pass through the polluted air zone such as cattle farm.

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A Development of Measurement System for Diathesis-Diagnosis (체질 진단용 센서 시스템의 구현)

  • 정용래;김승우
    • Proceedings of the IEEK Conference
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    • 2002.06e
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    • pp.117-120
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    • 2002
  • This paper is to develop the sensing system for opening-force measurement such as O-Ring muscular meridian. We designed to overcome the functional limit that the conventional force-sensor can measure just the closing-force. Therefore, the new sensor can meet a variety of application as well as O-Ring test. The structure of the new sensor is an actuator-type system using an electromagnet. That is made up of mechanical system, electromagnet, current transformer and computer interface circuit. Driving software and user interface program of the new sensor system also is explained in this paper.

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River level/velocimetry measuring system using the ultrasonic sensor (초음파센서를 이용한 하천 수위/유속 측정 시스템)

  • Park, Hee-Suk;Park, Chan-Won
    • Journal of Industrial Technology
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    • v.26 no.B
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    • pp.249-255
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    • 2006
  • In this paper, we study the river level/velocimetry measuring system using the ultrasonic sensor to acquire the more precise data from the river circumstance in rainy season. We design the two ultrasonic sensor system to calculate the water level and surface current speed of the river using the dedicated hardware and software. We investigate the validity and effectiveness of the proposed system which applied to the real river environment monitoring system that will be extended to the GIS.

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A FRAMEWORK FOR QUERY PROCESSING OVER HETEROGENEOUS LARGE SCALE SENSOR NETWORKS

  • Lee, Chung-Ho;Kim, Min-Soo;Lee, Yong-Joon
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.101-104
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    • 2007
  • Efficient Query processing and optimization are critical for reducing network traffic and decreasing latency of query when accessing and manipulating sensor data of large-scale sensor networks. Currently it has been studied in sensor database projects. These works have mainly focused on in-network query processing for sensor networks and assumes homogeneous sensor networks, where each sensor network has same hardware and software configuration. In this paper, we present a framework for efficient query processing over heterogeneous sensor networks. Our proposed framework introduces query processing paradigm considering two heterogeneous characteristics of sensor networks: (1) data dissemination approach such as push, pull, and hybrid; (2) query processing capability of sensor networks if they may support in-network aggregation, spatial, periodic and conditional operators. Additionally, we propose multi-query optimization strategies supporting cross-translation between data acquisition query and data stream query to minimize total cost of multiple queries. It has been implemented in WSN middleware, COSMOS, developed by ETRI.

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Sensor signal processing device for USN application and general purpose (USN응용과 범용목적에 적용가능한 센서 신호처리기)

  • Park, Chan-Won;Kim, Il-Hwan;Chun, Sam-Sug
    • Journal of Sensor Science and Technology
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    • v.19 no.3
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    • pp.230-237
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    • 2010
  • In sensor signal conditioning and processing, offset and drift characteristics of an operational amplifier are an important factor when the amplifier is used for a precise sensor signal amplifier. In order to use it in high accuracy, an expensive trimming or a complex compensation circuit is required. This paper presents the improved sensor signal conditioning and processing device for ubiquitous sensor network(USN) application or general purpose by developing a hardware of the circuit for reducing the offset voltage and drift characteristics, and a software for its control and sensor signal processing. We realize better offset voltage and drift characteristics of the signal conditioning circuit using low cost operational amplifiers. The experimental results show that this technique is effective in improving the performance of the sensor signal processing device.

A study on WSN based ECG and body temperature measuring system for ubiquitous healthcare: 2. Vital signal monitoring software system (유비쿼터스 헬스케어를 위한 센서 네트워크 기반의 심전도 및 체온 측정 시스템: 2. 생체신호 모니터링 소프트웨어 시스템)

  • Lee, Dae-Seok;Chung, Wan-Young
    • Journal of Sensor Science and Technology
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    • v.15 no.6
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    • pp.417-424
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    • 2006
  • An ubiquitous healthcare monitoring system for elderly person at home was designed for continuous healthy monitoring of elderly person or patients. Human vital signals, such as ECG and body temperature, were monitored by terminal PC or PDA via ECG and temperature sensor nodes on the patient's body. From the ECG data, the heart rate, tachycardia, bradycardia and arrhythmia were diagnosed on the terminal PC or PDA to assist doctor's or nurse's aid or patient itself to monitor the patient's condition and give medical examination. Artificial judgement support system was designed in server computer and the system support a doctor or nurser for management or treatment of the patient. This system can be applied to vital signal monitoring system for solitude elderly person at self house or home health care service part. And this ubiquitous healthcare system can reduce the medical expenses in coming aging or aged society.

Energy-Aware Video Coding Selection for Solar-Powered Wireless Video Sensor Networks

  • Yi, Jun Min;Noh, Dong Kun;Yoon, Ikjune
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.7
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    • pp.101-108
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    • 2017
  • A wireless image sensor node collecting image data for environmental monitoring or surveillance requires a large amount of energy to transmit the huge amount of video data. Even though solar energy can be used to overcome the energy constraint, since the collected energy is also limited, an efficient energy management scheme for transmitting a large amount of video data is needed. In this paper, we propose a method to reduce the number of blackout nodes and increase the amount of gathered data by selecting an appropriate video coding method according to the energy condition of the node in a solar-powered wireless video sensor network. This scheme allocates the amount of energy that can be used over time in order to seamlessly collect data regardless of night or day, and selects a high compression coding method when the allocated energy is large and a low compression coding when the quota is low. Thereby, it reduces the blackout of the relay node and increases the amount of data obtained at the sink node by allowing the data to be transmitted continuously. Also, if the energy is lower than operating normaly, the frame rate is adjusted to prevent the energy exhaustion of nodes. Simulation results show that the proposed scheme suppresses the energy exhaustion of the relay node and collects more data than other schemes.

FuzzyGuard: A DDoS attack prevention extension in software-defined wireless sensor networks

  • Huang, Meigen;Yu, Bin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3671-3689
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    • 2019
  • Software defined networking brings unique security risks such as control plane saturation attack while enhancing the performance of wireless sensor networks. The attack is a new type of distributed denial of service (DDoS) attack, which is easy to launch. However, it is difficult to detect and hard to defend. In response to this, the attack threat model is discussed firstly, and then a DDoS attack prevention extension, called FuzzyGuard, is proposed. In FuzzyGuard, a control network with both the protection of data flow and the convergence of attack flow is constructed in the data plane by using the idea of independent routing control flow. Then, the attack detection is implemented by fuzzy inference method to output the current security state of the network. Different probabilistic suppression modes are adopted subsequently to deal with the attack flow to cost-effectively reduce the impact of the attack on the network. The prototype is implemented on SDN-WISE and the simulation experiment is carried out. The evaluation results show that FuzzyGuard could effectively protect the normal forwarding of data flow in the attacked state and has a good defensive effect on the control plane saturation attack with lower resource requirements.

Network framework design and implementation of packet processing perspective for development environments of gateway application in wireless sensor network environments (무선 센서 네트워크 환경에서 게이트웨이 어플리케이션의 개발 환경을 위한 패킷 처리 관점의 네트워크 프레임워크 설계 및 구현)

  • Lee, Ho-Eung;Choi, Dae-Dam;Park, Hyun-Ju
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.4
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    • pp.980-992
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    • 2011
  • WSN gateway which runs transmission between WSN (Wireless Sensor Network) based on IEEE 802.15.4 and PN (Public Network) based on TCP/IP belongs to core technology of application based on two network. Because WSN Gateway receives various kinds of packet from many sensor nodes in an uncertain time as well as uses hardware's performance enough, it has high level of complexity about software and it is hard to be implemented. To solve these problems, this paper suggests both efficient event detection scheme for identify packet and implementation unit of protocol called 'Transaction'. The results of applying the proposed network framework, complexity of software reduces. And we provide software development environments of reflect various performance requirements.