• 제목/요약/키워드: data system

검색결과 55,543건 처리시간 0.065초

Software Buffering Technique For Real-time Recording of High Speed Satellite Data

  • Shin, Dong-Seok;Choi, Wook-Hyun;Kim, Moon-Gyu;Park, Won-Kyu
    • Korean Journal of Remote Sensing
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    • 제18권3호
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    • pp.147-153
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    • 2002
  • The real-time reception and recording of down-link mission data from a satellite requires the highest reliability because the data lost in receiving process cannot be recovered. The data receiving and recording system has moved from a set of dedicated hardware and software components to commercial-off-the-shelf (COTS) components in order to reduce the system cost as well as to upgrade the system easily for handling other satellite data. The use of COTS hardware and middleware components prevents the system developer from correcting or modifying the internal operations of the COTS components, and hence, instant performance degradation of the COTS components which affects the reliable data acquisition must be covered by a software algorithm. This paper introduces the instant performance problem of a COTS data recording device which leads to the data loss in the real-time data reception and recording process. As a result, the requirement of the modification of the conventional data read/write technique is issued. In order to overcome the data loss problem due to the use of COTS components and the conventional software technique, a new algorithm called a software buffering technique is proposed. The experiments show that the application of the proposed technique results in reliable real-time reception and recording of high speed serial data.

Sensor Data Collecting and Processing System (센서 데이터 수집 및 처리 시스템)

  • Ko, Dong-beom;Kim, Tae-young;Kim, Jeong-Joon;Park, Jeong-min
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • 제7권9호
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    • pp.259-269
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    • 2017
  • As emerging the '4th Industrial Revolution' by increasing the necessity of the intelligent system recently, 'Autonomic Control System' also has been the important issue. It is necessary to develop the system collecting data of machines and sensors for the autonomic control system to monitor the target system. But it is difficult to collect data because data formats of machines and sensors of the existing factories differ between each manufacturer. Therefore, this paper presents and implements data collecting and processing system that comprise 3 steps including 'ParseBuffer', 'ProcessData' and 'AddToBuffer' by using 'MTConnect' that is standard manufacturing facility data collecting middleware. Through the suggested system, we can get data in a common format usable in an autonomous control system. As a case study, we experimented with the generation and collection of AGV (Automated Guided Vehicle) data, which is an unattended transportation system in the factory. To accomplish this, we defined the data type in accordance with the MTConnect standard and confirmed the data collected through the proposed system.

A Data Manager for a Vehicle Control System (이동체 통제 시스템을 위한 데이타 관리자)

  • Han, Jae-Joon;Han, Ki-Joon
    • Journal of Korean Society for Geospatial Information Science
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    • 제4권1호
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    • pp.103-114
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    • 1996
  • A vehicle Control System that is a system combined by a Car Navigation System, a Geograhical Information System, and a Communication Network usually permit a central control room to detect vehicle's locations dynamically and manage these informations synthetically. Therefore, a vehicle control system can be used to control the rapid movement of patrol cars, freight transportation, and so on. In this paper, we designed and implemented a data manager for an application system, such as a vehicle control system, that usually manages road data, vehicle data, vehicle's location data, etc. The data manager that is implemented in this paper consists of system management module, road data management module, vehicle data management module, GPS(Global Positioning System) data management module, and additional data management module. Especially, we use the SHORE(Scalable Heterogeneous Object REpository) system as a storage system of the data manager.

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Development of Remote Data Analysis System for the Joint Use of Equipments (분석기기지원을 위한 원격 데이터 분석 시스템 개발)

  • 최인식
    • Journal of Korea Technology Innovation Society
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    • 제2권3호
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    • pp.94-106
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    • 1999
  • In Korea Basic Science Institute(KBSI) the remote data analysis system is developed for the joint use of advanced equipments. This system enables the researchers to access the datas which are produced at KBSI and analyse them by Java program on the Web,. Except Web browser such as Internet Explorer or Netscape Navigator no additional softwares are required for analysing data. We have developed remote data analysis systems for five major equipments which KBSI supports for the researchers, The systems which are developed are those for NMR spectrometer High Reso-lution Tandem mass Spectrometer Microscopic Imaging System DNA Sequencer and Natural Ra-dioactivity Measruement System, These programs work on any computer platform and any operat-ing system only if the internet is available. This remote data analysis system will be served as a part of Collaboratory the remote collaborative system.

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Suction Detection in Left Ventricular Assist System: Data Fusion Approach

  • Park, Seongjin
    • International Journal of Control, Automation, and Systems
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    • 제1권3호
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    • pp.368-375
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    • 2003
  • Data fusion approach is investigated to avoid suction in the left ventricular assist system (LVAS) using a nonpulsatile pump. LVAS requires careful control of pump speed to support the heart while preventing suction in the left ventricle and providing proper cardiac output at adequate perfusion pressure to the body. Since the implanted sensors are usually unreliable for long-term use, a sensorless approach is adopted to detect suction. The pump model is developed to provide the load coefficient as a necessary signal to the data fusion system without the implanted sensors. The load coefficient of the pump mimics the pulsatility property of the actual pump flow and provides more comparable information than the pump flow after suction occurs. Four signals are generated from the load coefficient as inputs to the data fusion system for suction detection and a neural fuzzy method is implemented to construct the data fusion system. The data fusion approach has a good ability to classify suction status and it can also be used to design a controller for LVAS.

3-D seismic data processing system for underground investigation (지하 구조 영상화를 위한 3차원 탄성파 자료처리시스템 개발)

  • Sheen, Dong-Hoon;Ji, Jun;Lee, Doo-Sung
    • Proceedings of the Korean Geotechical Society Conference
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    • 한국지반공학회 2000년도 가을 학술발표회 논문집
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    • pp.585-592
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    • 2000
  • Primary purpose of the system developed in this study is 3-D seismic data processing system for subsurface structure imaging and this system is developed in PC based on Linux for lower-cost computer. Basic data processing modules are originated from SU (Seismic Unix) which is widely used in 2-D seismic data processing and auxilious modules are developed for 3-D data processing. The system which is constructed by using these data processing modules is designed to GUI (Graphic User Interface) in order that one can easily control and for this purpose, GTK (Gimp Tool KiT) conventionally adapted in producing Linux application.

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A Study on the Design of the Radar Data Integrating System (레이다 정보처리용 통합 정보처리 시스템 셜계에 관한 연구)

  • 이상웅;최진일;라극환;양기덕;조동래
    • Journal of the Korean Institute of Telematics and Electronics B
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    • 제32B권5호
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    • pp.798-811
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    • 1995
  • In this study, radar data integrating and processing systems were designed for the data processing of various information from many kinds of radar in a single data processing system. The characteristics of the data integrating system were analyzed by the system simulation with the queueing theory. The designed data integrating systems can be divided into a centralized and a distributed type. In the system structure, we used UNIX message que as the real time processor and the queueing theory for the performance evaluation of the information flow in the systems. For the analysis of the performance of inforamtion flow in both models, queueing theory was applied to and implemented with the simulation package, OPNET system and C language. From the simulation result we could understand the system factors which effect the system performance and characteristics on the data processing.

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Photovoltaic System Energy Performance Analysis Using Meteorological Monitoring Data (기상 환경 모니터링 데이터를 이용한 태양광발전시스템 발전량 성능 분석)

  • Kwon, Oh-Hyun;Lee, Kyung-Soo
    • Journal of the Korean Solar Energy Society
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    • 제38권4호
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    • pp.11-31
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    • 2018
  • Nowadays, domestic photovoltaic system market has been expanded and the governmental dissemination policy has been continued. There is only PV system output performance analysis which is called Performance Ratio(PR) analysis. However, there exists many parameters that can affect PV system output. This papers shows the PV system energy performance analysis using meteorological monitoring data. The meteorological monitoring system was installed in the H university and we analyzed the PV system which installed in the H university. We also investigated other three PV systems which located less than 3 kilometers from H university. We evaluated total 4 PV systems through the field survey data, design drawing data and power generation data. Finally, we compared the actual measuring data with the simulation data using PVSYST software.

A Decentralized and Non-reversible Traceability System for Storing Commodity Data

  • He, Xiaojian;Chen, Ximeng;Li, Kangzi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권2호
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    • pp.619-634
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    • 2019
  • In the field of traceability systems, researchers focus on applications in the agricultural food traceability and scanning commodities. The purposes of this paper, however, is to propose an efficient and reliable traceability system that can be applied to all kinds of commodities. Currently, most traceability systems store data in a central server, which is unreliable when the system is under attack or if the administrator tampers with the data for personal interests. Therefore, it is necessary to design a system that can eliminate these threats. In this paper, we propose a decentralized and non-reversible traceability system for storing commodity data. This system depends on blockchain technology, which organizes data in the form of chains without a central server. This chain-style storage mechanism can prevent malicious modifications. In addition, some strategies are adopted to reduce the storage pressure and response time when the system has stored all kinds of commodity data.

Design and Construction of a High Speed Data Acquisition System (고속 Data Acquisition System의 설계와 제작)

  • 신천우;김태형;이무영
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 한국통신학회 1986년도 추계학술발표회 논문집
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    • pp.8-11
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    • 1986
  • Data acquisition system is needed in signal analysis and processing by using computer. This paper realizes the high speed data acquisition system by using 8bit, 20MHZ refresh A/D converter and 18 x 64 Byte high speed memory. The high speed data acquisition system provides converted data to IBM-PC XT micro computer.

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