• Title/Summary/Keyword: Sensor application system

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Systematic Network Coding for Computational Efficiency and Energy Efficiency in Wireless Body Area Networks (무선 인체 네트워크에서의 계산 효율과 에너지 효율 향상을 위한 시스테매틱 네트워크 코딩)

  • Kim, Dae-Hyeok;Suh, Young-Joo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.10A
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    • pp.823-829
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    • 2011
  • Recently, wireless body area network (WBAN) has received much attention as an application for the ubiquitous healthcare system. In WBAN, each sensor nodes and a personal base station such as PDA have an energy constraint and computation overhead should be minimized due to node's limited computing power and memory constraint. The reliable data transmission also must be guaranteed because it handles vital signals. In this paper, we propose a systematic network coding scheme for WBAN to reduce the network coding overhead as well as total energy consumption for completion the transmission. We model the proposed scheme using Markov chain. To minimize the total energy consumption for completing the data transmission, we made the problem as a minimization problem and find an optimal solution. Our simulation result shows that large amount of energy reduction is achieved by proposed systematic network coding. Also, the proposed scheme reduces the computational overhead of network coding imposed on each node by simplify the decoding process.

The injection petrol control system about CMAC neural networks (CMAC 신경회로망을 이용한 가솔린 분사 제어 시스템에 관한 연구)

  • Han, Ya-Jun;Tack, Han-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.395-400
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    • 2017
  • The paper discussed the air-to-fuel ratio control of automotive fuel-injection systems using the cerebellar model articulation controller(CMAC) neural network. Because of the internal combustion engines and fuel-injection's dynamics is extremely nonlinear, it leads to the discontinuous of the fuel-injection and the traditional method of control based on table look up has the question of control accuracy low. The advantages about CMAC neural network are distributed storage information, parallel processing information, self-organizing and self-educated function. The unique structure of CMAC neural network and the processing method lets it have extensive application. In addition, by analyzing the output characteristics of oxygen sensor, calculating the rate of fuel-injection to maintain the air-to-fuel ratio. The CMAC may easily compensate for time delay. Experimental results proved that the way is more good than traditional for petrol control and the CMAC fuel-injection controller can keep ideal mixing ratio (A/F) for engine at any working conditions. The performance of power and economy is evidently improved.

Analysis of Efficient Health Data Transmission Methods based on the Fusion of WBAN and FANET (WBAN과 FANET 융합 기반의 효율적인 신체 데이터 전송 방법 분석)

  • Ha, Il-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.2
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    • pp.386-394
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    • 2017
  • FANET is an ad hoc network formed among the unmanned aircraft in the three-dimensional space for data transfer. Most of the research on FANET application has focused on the use of the camera sensor mounted on the unmanned aircraft to collect data from the ground, and process and delivery of the data for a specific purpose. However, the research on the fusion of WBAN and FANET that collects the data of the human body and passes through the FANET has not been studied much until now. Therefore, in this study, we study the data transmission system that collects the human body data of people working in the areas that are vulnerable to communication difficulties and passes the collected data through the FANET. In particular we analyze the possible methods to transfer the emergency data of the body in the fusion network of WBAN and FANET and provide a data transfer model that can be transmitted most efficiently.

A Design of Development Process Model of Product Lines for Developing Embedded Software (임베디드 소프트웨어 개발을 위한 제품계열 중심의 개발프로세스 모델 설계)

  • Hong, Ki-Sam;Yoon, Hee-Byung
    • Journal of KIISE:Software and Applications
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    • v.33 no.11
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    • pp.915-922
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    • 2006
  • Recently, the requirements of the embedded software are getting diverse as the diversity of embedded software application fields increases. The systematic development methods are issued to deal with the dependency between hardware and software. However, the existing development methods have not considered the software's close connection to hardware and the high-level reusability for common requirements of several similar domains. In this paper, we propose a design method of development process model of product lines to support an efficient development method for embedded software. For this, we firstly suggest a domain scoping method and an IDEF0(Integration DEFinition)-based business model for extracting the efficient requirements. Next, we present a component deriving method based on the service architecture and an architecture design method after considering the hardware dependency. And we explain the artifacts of MSDFS(Multi Sensor Data Fusion System) at each design step in order to show how the proposed model can be applied to the embedded software development.

Detection of Carp Vitellogenin with Piezoelectric Immunosensor (압전류적 면역센서에 의한 잉어 Vitellogenin 검출)

  • Kim, Nam-Soo;Park, In-Seon;Kim, Woo-Yeon
    • Applied Biological Chemistry
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    • v.49 no.3
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    • pp.254-258
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    • 2006
  • Vitellogenin has been known as a potent biomarker protein for the estrogenic activity in fish exposed to endocrine disruptors. In this study, a piezoelectric immunosensor making use of an anticarp vitellogenin antibody and an AT-cut quartz crystal microbalance as the biological component and transducer was prepared, followed by its application to the analysis of carp vitellogenin as follows. Antibody immobilization was conducted by chemisorption of a thiolated antibody with a heterobifunctional thiolation cross-linker, sulfosuccinimidyl 6-[3-(2-pyridyldithio)propionamido]hexanoate. The reaction buffer for the immunosensor system was optimized as 0.1 M sodium phosphate (pH 7.4). Concentration-dependent sensor responses were obtained in the vitellogenin concentrations ranging from 0.4864 to 486.4000 nM, with a linear correlation between vitellogenin concentration and frequency shift in double-logarithmic scale. The limit of detection of the immunosensor for carp vitellogenin was presumed as 0.4864 nM.

Design of Environment Measurement System using the Wireless Devices (무선단말기를 이용한 환경 측정망 시스템 설계 및 구현)

  • Kim Seok-Hun;Kim Jung-Hwan;Song Jae-Sook;Song Jung-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2006.05a
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    • pp.534-537
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    • 2006
  • Currently, The fast development which radio communication technique is creating new services from the industry sector which is various from convenient characteristic and the ease characteristic side. Specially, rise and development of the radio communication technique which is various from environment monitor ring field makes to be improved about sharp curtailment of establishment and logistics relation expense, and collection period of the data which occurs real-time from site, reliability and delivery characteristic. But continuous application and the success about the environment monitor ring field of radio communication technique will be able to trust And It is important to provide time information which is appropriate real-time. So this paper plans the sensor network based on environment measurement watch which applies a radio communication technique.

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Optimal Placement of Sensors for Damage Detection in a Structure and its Application (구조물의 손상탐지를 위한 센서 위치 최적화 및 적용)

  • 박수용
    • Journal of the Earthquake Engineering Society of Korea
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    • v.7 no.4
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    • pp.81-87
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    • 2003
  • In this paper, the feasibility of using Shannon's sampling theorem to reconstruct exact mode shapes of a structural system from a limited number of sensor points and localizing damage in that structure with reconstructed mode shapes is investigated. Shannon's sampling theorem for the time domain is reviewed. The theorem is then extended to the spatial domain. To verify the usefulness of extended theorem, mode shapes of a simple beam are reconstructed from a limited amount of data and the reconstructed mode shapes are compared to the exact mode shapes. On the basis of the results, a simple rule is proposed for the optimal placement of accelerometers in modal parameter extraction experiments. Practicality of the proposed rule and the extended Shannon's theorem is demonstrated by detecting damage in laboratory beam structure with two-span via applying to mode shapes of pre and post damage states.

Accuracy analysis on the temperature measurement with thermistor (인공위성용 서미스터의 온도측정 정확도 분석)

  • Suk, Byong-Suk;Lee, Yun-Ki;Lee, Na-Young
    • Aerospace Engineering and Technology
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    • v.7 no.1
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    • pp.115-120
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    • 2008
  • The thermistors and AD590 are widely used for temperature measurement in space application. The resistance of thermistor will vary according to the temperature variation therefore the external voltage or current stimulus signal have to be provided to measure resistance variation. Recently high resolution electro optic camera system of satellite requires tight thermal control of the camera structure to minimize the thermal structural distortion which can affects the image quality. In order to achieve $1^{\circ}$(deg C) thermal control requirement, the accuracy of temperature measurement have to be higher than $0.3^{\circ}$(deg C). In this paper, the accuracy of temperature measurement using thermistors is estimated and analyzed.

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Smart Closet based on Arduino MEGA (아두이노 메가 기반의 스마트 옷장)

  • Mun, Se-Hun;Lee, Ju-Hyon;Lee, Ji-Min;Park, Gun-Hee;Han, Young-Oh
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.949-958
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    • 2022
  • Modern people have many kinds of clothes for individuals, and not just for storing clothes, but also for managing the condition of the closet, and users of smart closets created smart closets that provide daily convenience and optimal closet conditions, suggesting the possibility of developing smart furniture for various environments. In this developed system, smart closet is controlled using app inventor and touch LCD through bluetooth wireless communication, based on Arduino MEGA and user's clothes is recommended depending on the weather. In addition, this smart closet is designed with real-time weather status checking and easy ventilation function. It was implemented through the Arduino and app inventor program so that the weather can be printed on the LCD screen and the user's suitable clothes can be recommended to the application.

Smart Helmet for Vital Sign-Based Heatstroke Detection Using Support Vector Machine (SVM 이용한 다중 생체신호기반 온열질환 감지 스마트 안전모 개발)

  • Jaemin, Jang;Kang-Ho, Lee;Subin, Joo;Ohwon, Kwon;Hak, Yi;Dongkyu, Lee
    • Journal of Sensor Science and Technology
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    • v.31 no.6
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    • pp.433-440
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    • 2022
  • Recently, owing to global warming, average summer temperatures are increasing and the number of hot days is increasing is increasing, which leads to an increase in heat stroke. In particular, outdoor workers directly exposed to the heat are at higher risk of heat stroke; therefore, preventing heat-related illnesses and managing safety have become important. Although various wearable devices have been developed to prevent heat stroke for outdoor workers, applying various sensors to the safety helmets that workers must wear is an excellent alternative. In this study, we developed a smart helmet that measures various vital signs of the wearer such as body temperature, heart rate, and sweat rate; external environmental signals such as temperature and humidity; and movement signals of the wearer such as roll and pitch angles. The smart helmet can acquire the various data by connecting with a smartphone application. Environmental data can check the status of heat wave advisory, and the individual vital signs can monitor the health of workers. In addition, we developed an algorithm that classifies the risk of heat-related illness as normal and abnormal by inputting a set of vital signs of the wearer using a support vector machine technique, which is a machine learning technique that allows for rapid binary classification with high reliability. Furthermore, the classified results suggest that the safety manager can supervise the prevention of heat stroke by receiving feedback from the control system.