• Title/Summary/Keyword: Data Acquisition Devices

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Development of Mock Control Devices and Data Acquisition Apparatus for Power Tiller Training Simulator

  • Kim, YuYong;Kim, Byounggap;Shin, Seung-yeoub;Kim, Byoungin;Hong, Sunjung
    • Journal of Biosystems Engineering
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    • v.40 no.3
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    • pp.284-288
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    • 2015
  • Training power tiller operators in safe farming is necessary to avoid farming accidents. With the continuing progress in computational technology, driving simulators have become increasingly popular for conducting such training. Purpose: The objective of this study is to develop mock control devices and data acquisition apparatus for a tiller simulator. Methods: Except for the stand and tail wheel adjusting levers, the mock control devices were developed using a tiller handle assay. The data acquisition apparatus was realized using an embedded data-logging device and LabVIEW, the system design software. Results: The control devices of a real handle assay were successfully mimicked by the mock operator control devices, which used sensors for the relevant measurements. The data from the mock devices were acquired and transmitted to the main computer at intervals of 10 ms via Wi-Fi. Conclusions: The developed mock control devices operate similar to real power tillers and can be utilized in power tiller training simulators.

Development of Ship Data Acquisition Embedded System

  • Yeo, Ng Yin;Park, Soo-Hong
    • Journal of information and communication convergence engineering
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    • v.8 no.5
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    • pp.528-533
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    • 2010
  • This research is part of the development of Data Acquisition embedded system that specifically use in ship. The purpose of this data acquisition system mainly is to acquire data from multiple sensors or others related external devices and it will further discuss in this paper. The data collecting, hardware design, software design and the final project outcome of this data acquisition system will be discussed in this paper.

Accuracy Assessment of Mobile Mapping System

  • Manandhar, Dinesh;Shibasaki, Ryosuke
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1152-1154
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    • 2003
  • The needs of 3-D data have been increasing for various applications like visualization, 3-D modeling, planning and management as well as entertainment. Mobile mapping has become a quick and practical means for acquiring necessary 3-D data for above-mentioned applications. A mobile mapping system mainly consists of two main components, viz. data acquisition devices and positioning devices. The data acquisition devices consist of CCD cameras or/and laser scanners. The positioning devices consist of GPS, INS, Odometer (shaft encoder) and some other referencing devices. The overall accuracy of mobile mapping system depends on the accuracy of positioning devices and their integrated output. Though, GPS is the main input device for the position information, the signal is not available for the computation of position all the times in urban area. The GPS satellites are normally obstructed by high-rise buildings. Thus it is very important to understand the accuracy of such a system in different environments and means to solve such problems. We have developed a mobile mapping system called VLMS (Vehicle-borne Laser Mapping System), which consists of CCD Cameras, Laser scanners, GPS, INS and Odometer. In this paper, we will present and discuss the accuracy of this system with data acquired in different environments (open area, urban area, tunnel, express way etc) by analyzing the data with respect to other existing digital data.

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Development of Data Acquisition System for Smart Farm Non-Intrusive Load Monitoring (스마트팜 비간섭 전력 부하 감시를 위한 데이터취득 시스템 개발)

  • Kim, Hong-Su;Kim, Ho-Chan;Jwa, Jeong-Woo;Kang, Min-Jae
    • Journal of IKEEE
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    • v.23 no.1
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    • pp.322-325
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    • 2019
  • The non-intrusive load monitoring(NILM) algorithm can infer the power usage of the individual electric devices by the total electric power consumption of the main line. To develop such an algorithm, power usage pattern data of individual devices as well as those of various combinations of these devices are required. In this paper, we propose a method to develop a power usage pattern data acquisition system for developing a NILM algorithm for a smart farm. The data acquisition system is capable of simultaneously measuring the power usage of individual electrical devices and the power usage according to various combinations of scenarios every second. The measured data can be remotely monitored from the outside of the smart farm through the LTE network, and the measured data is stored in an external server.

Consideration on data acquisition and analysis system for using short-circuit tests (디지털 측정 및 분석장치의 적용에 관한 연구)

  • Kim, M.H.;Suh, Y.T.;Kim, D.W.;Kang, Y.S.;Koh, H.S.
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.38-40
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    • 2001
  • Measuring technology based on the computer and software is used worldwideiy by the aids of remarkably improved digital technology and measuring devices, and the electro- magnetic interference due to high currents and high voltages is being solved by the helps of applied optic instrumentation technology. The automatic acquisition, analysis and storage system of test data is available for utilizing the numerical computation technology. The measuring accuracy and testing efficiency are thus much higher because of the developed technologies. In this paper, the construction of data acquisition system in KERI including measuring devices and its application to the short circuit test are described, and additionally the algorithm of the analyzing program for the automatic process of test data and the results of analyses are described.

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A Study on Data Acquisition of IoT Devices Intrusion (사물인터넷 기기 침해사고 데이터 수집 방안 연구)

  • Jong-bum Lee;Ieck-Chae Euom
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.3
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    • pp.537-547
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    • 2023
  • As Internet of Things (IoT) technology evolves, IoT devices are being utilized in a variety of fields. However, it has become a new surface of cyber attacks and is affecting industries that did not previously consider cyber breaches. After a intrusion occurs, post-processing and damage spread prevention are important, but it is difficult to respond due to the lackof standards and guidelines. Therefore, in order to respond to such incidents, this paper establishes an incident data collection procedure and presents the data that can be collected to improve the intrusion data acquisition method for general IoT devices. In addition, we proved the efficiency and feasibility of the data collection procedure through experiments.

Development of real-time wireless data measurement technique on Centrifugal experiment (원심모형 실험기의 실시간 무선데이터 측정시스템 구축)

  • Lee, Jong-Pil;Kim, You-Seok;Park, Jin-Woo
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09a
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    • pp.1289-1293
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    • 2010
  • A slipring or FORJ are usually adopted in order for power supply of Geo-centrifuge and input/output data acquisition. Since using slipring causes quite a lot electrical noise, an optical communication using FORJ becomes more general for data acquisition. Such data acquisition devices, however, require frequent maintenance and replacement due to deterioration by long term usage. DICT has set up a real-time wireless date acquisition system using wireless communication technology instead of FORJ. The system enables a remote measurement at any inertial acceleration field up to 100g level and provides as same performance as FORJ. The priority of this system is to use a normal modem substituting a special FORJ.

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Design Patterns for Mitigating Incompatibility of Context Acquisition Schemes for IoT Devices (사물인터넷 컨텍스트 획득 비호환성 중재를 위한 디자인 패턴)

  • La, Hyun Jung;An, Ku Hwan;Kim, Soo Dong
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.8
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    • pp.351-360
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    • 2016
  • Sensors equipped in Internet-of-Thing (IoT) devices are used to measure the surrounding contexts, and IoT applications analyze the contexts to infer situations and provide situation-specific smart services. There are different context acquisition schemes including pulling, pushing, and broadcasting. Most IoT devices support only one of the schemes. Hence, there can be an incompatible issue on data acquisition schemes between applications and devices, and consequently it could result in an increased development cost and inefficiency on application maintenance. This paper presents design patterns which can effectively remedy the incompatibility problem. By applying the patterns, IoT applications with incompatibility can be systematically and effectively developed. And, also its maintainability is expected to increase.

256-channel 1ks/s MCG Signal Acquisition System (256-channel 1 ksamples/sec 심자도 신호획득 시스템)

  • Lee, Dong-Ha;Yoo, Jae-Tack;Huh, Young
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.538-540
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    • 2004
  • Electrical currents generated by human heart activities create magnetic fields represented by MCG(MagnetoCardioGram). Since an MCG signal acquisition system requires precise and stable operation, the system adopts hundreds of SQUID(Superconducting QUantum Interface Device) sensors for signal acquisition. Such a system requires fast real-time data acquisition in a required sampling interval, i.e., 1 mili-second for each sensor. This paper presents designed hardware to acquire data from 256-channel analog signal with 1 ksamples/sec speed, using 12-bit 8-channel ADC devices, SPI interfaces, parallel interfaces, 8-bit microprocessors, and a DSP processor. We implemented SPI interface between ADCs and a microprocessor, parallel interfaces between microprocessors. Our result concludes that the data collection can be done in $168{\mu}sec$ time-interval for 256 SQUID sensors, which can be interpreted to 6 ksamples/sec speed.

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Studies of process measurement technology for manufacturing advanced nano devices (첨단 나노소자 공정제어용 측정기술 연구)

  • Cho, Yong Jai
    • Vacuum Magazine
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    • v.2 no.3
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    • pp.4-10
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    • 2015
  • We developed a real-time three-polarizer spectroscopic ellipsometer based on a new data acquisition algorithm and a general data reduction (the process of extracting the ellipsometric sample parameters from the Fourier coefficients). The data acquisition algorithm measures Fourier coefficients of radiant flux waveform accurately and precisely. The general data reduction is introduced to represent the analytic functions of the standard uncertainties of the ellipsometric sample parameters, and the extracted theoretical values closely agree with the corresponding experimental data. Our approach can be used for optimization of measurement conditions, instrumentation, simulation, standardization, laboratory accreditation, and metrology.