• 제목/요약/키워드: Heterogeneous Sensors

검색결과 119건 처리시간 0.029초

DESIGN AND IMPLEMENTATION OF METADATA MODEL FOR SENSOR DATA STREAM

  • Lee, Yang-Koo;Jung, Young-Jin;Ryu, Keun-Ho;Kim, Kwang-Deuk
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
    • /
    • pp.768-771
    • /
    • 2006
  • In WSN(Wireless Sensor Network) environment, a large amount of sensors, which are small and heterogeneous, generates data stream successively in physical space. These sensors are composed of measured data and metadata. Metadata includes various features such as location, sampling time, measurement unit, and their types. Until now, wireless sensors have been managed with individual specification, not the explicit standardization of metadata, so it is difficult to collect and communicate between heterogeneous sensors. To solve this problem, OGC(Open Geospatial Consortium) has proposed a SensorML(Sensor Model Language) which can manage metadata of heterogeneous sensors with unique format. In this paper, we introduce a metadata model using SensorML specification to manage various sensors, which are distributed in a wide scope. In addition, we implement the metadata management module applied to the sensor data stream management system. We provide many functions, namely generating metadata file, registering and storing them according to definition of SensorML.

  • PDF

클라우드 환경에서 이기종 센서를 위한 데이터 통합에 대한 연구 (The Study of Data Integration Methods for Heterogeneous Sensors in a Cloud Environment)

  • 황치곤;윤창표
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2014년도 추계학술대회
    • /
    • pp.354-356
    • /
    • 2014
  • 최근 센서 기술이 많은 분야에서 사용되고 있고, 다양한 종류의 센서에서 검출된 데이터는 규격과 단위의 차이에 의해 통합하기가 어렵다. 또한 유사 분야에서 검출된 데이터를 활용하기 위하여 클라우드 상에서 데이터나 프로그램을 서비스로 제공할 경우 이러한 데이터의 통합은 중요하다. 본 논문에서는 이기종 센서에서 발생하는 데이터를 클라우드 환경에서 서비스로 제공될 수 있도록 하기 위한 데이터 통합 방안을 제안한다. 그 방안은 온톨로지를 기반으로 한 표준 메타데이터를 생성하고, 생성된 표준은 센서에 의해 검출된 데이터와 매핑한다. 이에 따라 검출된 데이터는 표준 형식으로 어플리케이션에 전달함으로써, 센서와 어플리케이션 간의 데이터 이동의 효율성을 향상시킬 수 있다.

  • PDF

A Study on Distributed Self-Reliance Wireless Sensing Mechanism for Supporting Data Transmission over Heterogeneous Wireless Networks

  • Caytiles, Ronnie D.;Park, Byungjoo
    • International Journal of Internet, Broadcasting and Communication
    • /
    • 제12권3호
    • /
    • pp.32-38
    • /
    • 2020
  • The deployment of geographically distributed wireless sensors has greatly elevated the capability of monitoring structural health in social-overhead capital (SOC) public infrastructures. This paper deals with the utilization of a distributed mobility management (DMM) approach for the deployment of wireless sensing devices in a structural health monitoring system (SHM). Then, a wireless sensing mechanism utilizing low-energy adaptive clustering hierarchy (LEACH)-based clustering algorithm for smart sensors has been analyzed to support the seamless data transmission of structural health information which is essentially important to guarantee public safety. The clustering of smart sensors will be able to provide real-time monitoring of structural health and a filtering algorithm to boost the transmission of critical information over heterogeneous wireless and mobile networks.

Weighted Adaptive Opportunistic Scheduling Framework for Smartphone Sensor Data Collection in IoT

  • M, Thejaswini;Choi, Bong Jun
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제13권12호
    • /
    • pp.5805-5825
    • /
    • 2019
  • Smartphones are important platforms because of their sophisticated computation, communication, and sensing capabilities, which enable a variety of applications in the Internet of Things (IoT) systems. Moreover, advancements in hardware have enabled sensors on smartphones such as environmental and chemical sensors that make sensor data collection readily accessible for a wide range of applications. However, dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users that vary throughout the day, which greatly affects the efficacy of sensor data collection. Therefore, it is necessary to consider phone users mobility patterns to design data collection schedules that can reduce the loss of sensor data. In this paper, we propose a mobility-based weighted adaptive opportunistic scheduling framework that can adaptively adjust to the dynamic, opportunistic, and heterogeneous mobility patterns of smartphone users and provide prioritized scheduling based on various application scenarios, such as velocity, region of interest, and sensor type. The performance of the proposed framework is compared with other scheduling frameworks in various heterogeneous smartphone user mobility scenarios. Simulation results show that the proposed scheduling improves the transmission rate by 8 percent and can also improve the collection of higher-priority sensor data compared with other scheduling approaches.

3-D Hetero-Integration Technologies for Multifunctional Convergence Systems

  • 이강욱
    • 마이크로전자및패키징학회지
    • /
    • 제22권2호
    • /
    • pp.11-19
    • /
    • 2015
  • Since CMOS device scaling has stalled, three-dimensional (3-D) integration allows extending Moore's law to ever high density, higher functionality, higher performance, and more diversed materials and devices to be integrated with lower cost. 3-D integration has many benefits such as increased multi-functionality, increased performance, increased data bandwidth, reduced power, small form factor, reduced packaging volume, because it vertically stacks multiple materials, technologies, and functional components such as processor, memory, sensors, logic, analog, and power ICs into one stacked chip. Anticipated applications start with memory, handheld devices, and high-performance computers and especially extend to multifunctional convengence systems such as cloud networking for internet of things, exascale computing for big data server, electrical vehicle system for future automotive, radioactivity safety system, energy harvesting system and, wireless implantable medical system by flexible heterogeneous integrations involving CMOS, MEMS, sensors and photonic circuits. However, heterogeneous integration of different functional devices has many technical challenges owing to various types of size, thickness, and substrate of different functional devices, because they were fabricated by different technologies. This paper describes new 3-D heterogeneous integration technologies of chip self-assembling stacking and 3-D heterogeneous opto-electronics integration, backside TSV fabrication developed by Tohoku University for multifunctional convergence systems. The paper introduce a high speed sensing, highly parallel processing image sensor system comprising a 3-D stacked image sensor with extremely fast signal sensing and processing speed and a 3-D stacked microprocessor with a self-test and self-repair function for autonomous driving assist fabricated by 3-D heterogeneous integration technologies.

RPC를 이용한 이종센서 위성영상으로부터의 수치고도모형 정확도 평가 (Accuracy Investigation of DEM generated from Heterogeneous Stereo Satellite Images using Rational Polynomial Coefficients)

  • 송영선
    • 대한공간정보학회지
    • /
    • 제22권3호
    • /
    • pp.121-128
    • /
    • 2014
  • 본 연구에서는 이종센서로부터 취득된 입체영상에 대해서 RPC를 이용하여 수치고도모형을 생성하고, 생성된 수치고도모형의 정확도를 평가하였다. 이종센서 위성영상으로 공간해상도가 상이한 SPOT-5 흑백영상과 IKONOS 영상을 사용하였고, 정확도의 평가를 위해서 IKONOS 입체영상과 SPOT-5 입체영상으로부터 생성된 수치고도모형과 비교하였다. 정확도의 평가 결과, 공간 해상도가 상이한 입체영상일지라도 정확한 공액점에 대해서는 동종센서 입체영상과 유사한 3차원 위치결정의 정확도를 보였으나, 수치고도모형의 품질측면에서는 동종센서 수치고도모형보다 RMSE가 약 2배, LE90은 약 3배 정도의 차이를 보였다. 결론적으로, 이종센서 입체영상으로부터 수치고도모형의 생성이 가능하지만, 공간해상도가 상이한 입체영상의 경우에는 영상정합이 수치고도모형의 품질에 매우 중요한 요소임을 알 수 있었다.

LADAR 영상의 실시간 신호 처리 (Real-time signal processing of LADAR image)

  • 하중림;남재두;김영길
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2017년도 춘계학술대회
    • /
    • pp.387-390
    • /
    • 2017
  • 임베디드 분야에서 고해상도 센서의 등장으로 Heterogeneous 컴퓨팅에 대한 수요가 지속적으로 증가하고 있다. 로직모듈은 LADAR 시스템 구성품을 제어하고, 고속의 레이저 영상 데이터를 실시간 3차원 영상화하기 위한 임베디드 시스템이다. 본 논문에서는 로직모듈의 설계와 CPU-GPU Heterogeneous 컴퓨팅을 활용한 로직모듈의 신호처리에 대해 설명하려고 한다.

  • PDF

Multi-type sensor placement design for damage detection

  • Li, Y.Q.;Zhou, M.S.;Xiang, Z.H.;Cen, Z.Z.
    • Interaction and multiscale mechanics
    • /
    • 제1권3호
    • /
    • pp.357-368
    • /
    • 2008
  • The result of damage detection from on-site measurements is commonly polluted by unavoidable measurement noises. It is widely recognized that this side influence could be reduced to some extent if the sensor placement was properly designed. Although many methods have been proposed to find the optimal number and location of mono-type sensors, the optimal layout of multi-type sensors need further investigation, because a network of heterogeneous sensors is commonly used in engineering. In this paper, a new criterion of the optimal placement for different types of sensors is proposed. A corresponding heuristic is developed to search for good results. In addition, Monte Carlo simulation is suggested to design a robust damage detection system which contains certain redundancies. The validity of these methods is illustrated by two bridge examples.

클라우드 컴퓨팅 환경에서 센싱된 데이터의 효율적 수집 및 통합에 관한 연구 (A Study in the Efficient Collection and Integration of a Sensed Data in a Cloud Computing Environment)

  • 황치곤;윤창표
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2016년도 추계학술대회
    • /
    • pp.324-325
    • /
    • 2016
  • 센서 네트워크를 통한 서비스는 센서를 이용하여 데이터를 수집하고, 수집된 데이터는 분석을 통하여 상황을 인지하고, 서비스 제공자는 이 상황을 이용하여 사용자에게 적합한 서비스를 제공한다. 그러나 이에 발생하는 데이터는 메타데이터, 규격, 단위 등에서 일치하기는 어렵다. 여러 규격의 센서에서 발생하는 데이터를 효율적으로 이용하기 위해 통합은 필요하다. 이에 따라 우리는 본 논문에서는 기존 센서와 신규 센서에서 발생하는 데이터를 통합할 수 있는 방안으로 온톨로지를 이용하는 방법을 제안하고자 한다. 온톨로지는 기본 항목과 센서의 항목을 매핑하고, 추가적으로 타입과 구조적 차이에 대한 부분도 포함한다. 매핑은 메타데이터 간의 매핑과 데이터 간의 매핑으로 구분한다. 이러한 방법으로 생성된 표준 항목이 서비스 간 데이터 교환의 형식이 됨으로써 센서 발생하는 이질적 문제를 해결할 수 있다.

  • PDF

Dynamic Service Composition and Development Using Heterogeneous IoT Systems

  • Ryu, Minwoo;Yun, Jaeseok
    • 한국컴퓨터정보학회논문지
    • /
    • 제22권9호
    • /
    • pp.91-97
    • /
    • 2017
  • IoT (Internet of Things) systems are based on heterogeneous hardware systems of different types of devices interconnected each other, ranging from miniaturized and low-power wireless sensor node to cloud servers. These IoT systems composed of heterogeneous hardware utilize data sets collected from a particular set of sensors or control designated actuators when needed using open APIs created through abstraction of devices' resources associated to service applications. However, previously existing IoT services have been usually developed based on vertical platforms, whose sharing and exchange of data is limited within each industry domain, for example, healthcare. Such problem is called 'data silo', and considered one of crucial issues to be solved for the success of establishing IoT ecosystems. Also, IoT services may need to dynamically organize their services according to the change of status of connected devices due to their mobility and dynamic network connectivity. We propose a way of dynamically composing IoT services under the concept of WoT (Web of Things) where heterogeneous devices across different industries are fully integrated into the Web. Our approach allows developers to create IoT services or mash them up in an efficient way using Web objects registered into multiple standardized horizontal IoT platforms where their resources are discoverable and accessible. A Web-based service composition tool is developed to evaluate the practical feasibility of our approach under real-world service development.