• Title/Summary/Keyword: Sensor Data Process

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A Study on the Implementation of SoC for Sensing Bio Signal (인체신호 측정을 위한 SoC 구현에 관한 연구)

  • Sun, Hye-Seung;Song, Myoung-Gyu;Lee, Jae-Heung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.1
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    • pp.109-114
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    • 2010
  • In this paper, the implementation of a human signal sensing module that has capabilities to check and restore the weak signals from the human body is presented. A module presented in this paper consists of processing and sensing elements related to human pulse and body temperature and a controller implemented with SoC design method. PPG data is detected by a noise filtering process toward the amplified signal which is from the operating frequency between 0.1Hz - 10Hz. A digital temperature sensor is used to check the body temperature. A sensor outputs the corresponding value of the electric voltage according to the body temperature. Moreover, this paper discusses the implementation of an enhanced microprocessor which is synthesized with VHDL as a part of the SoC development and used to control the entire module. The SoC processor is implemented on a Xilinx Spartan 3 XC3S1000 device and has the achieved operating frequency of 10MHz. The implemented SoC processor core is successfully tested with macro memories in FPGA and the experimental results are hereby shown.

A Study on the Fusion of DEM Generated from Images of Optical Satellite and SAR (광학 위성영상과 SAR 위성영상의 DEM 융합에 관한 연구)

  • Yeu, Bock-Mo;Hong, Jae-Min;Jin, Kyeong-Hyeok;Yoon, Chang-Rak
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.11a
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    • pp.58-65
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    • 2002
  • The most widespread techniques for DEM generation are stereoscopy for optical sensor images and interfereometry for SAR images. These techniques suffer from certain sensor and processing limitations, which can be overcome by the synergetic use of both sensors and DEMs respectively. In this paper, different strategies for fusing SAR and optical data are combined to derive high quality DEM products. The multiresolution wavelet transform, which take advantage of the complementary properties of SAR and stereo optical DEMs, will be applied for the fusion process. By taking advantage of the fact that errors of the DEMs are of different nature using the multiresolution wavelet transform, affected part are filtered and replaced by those of the counterpart and is tested with two sets of SPOT and ERS DEM, resulting in a remarkable improvement in DEM. For the analysis of results, the reference DEM is generated from digital base map(1:5000).

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An implementation of Smart RFID Tag using temperature sensor for agri-food distribution management (온도센서를 이용한 농.식품 유통관리를 위한 Smart RFID Tag 개발)

  • Lee, Chang-Won;Lee, Seung-Joon;Jung, Kyung-Kwon;Lee, Hyun-Kwan;Eom, Ki-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.231-234
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    • 2011
  • Recently, the smart RFID tag technology which can measure external changing environment is globally interesting. In this paper, development of the Smart RFID tag using temperature sensor was represented. Smart RFID tag is basically comprised of antenna which has its bandwidth of 13.56Mhz, temperature sensors and data processing controller. Antenna design and smaller PCB production can be used to agri-food wrap. Since the smart RFID tag is distributed as an attachment to agri-food wrap, consumer can check temperature changes in the distribution process. Because temperature change check in real time, food confirm the status of transportation and the freshness. Also, smart RFID tag can be applied to proposed smart refrigerator.

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An Implementation of Remote Monitoring System for Control Relay (제어용 계전기의 원격감시시스템 구현)

  • Chang, Yong-Hoon;Nam, Jae-hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.11
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    • pp.2100-2106
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    • 2016
  • The automation system uses PLC to monitor the manufacturing process status of the production product and processes the sensor information transmitted from the sensor. In this paper, we propose a remote surveillance system to monitor the status of control relay used in automation system. The proposed system consists of a control relay module, a one-chip processor module, a computer monitoring system, and a database system that inputs and manages the details of the control relay. The computer monitoring system is configured to monitor the operating condition and life time of the control relay. The database is configured so that the input date of the control relay can be input and corrected, and the operating state information of the control relay can be automatically printed. In the remote monitoring system, the failure status of the control relay is recognized in real time, and the time required for normal operation can be minimized by quickly replacing faulty parts.

Development of an Engine Simulator for Optimal Control System Implementation of a Gas Turbine Engine (가스터빈엔진 최적 제어시스템 구현을 위한 엔진 시뮬레이터 개발)

  • Cha, Young-Bum;Koo, Bon-Min;Song, Do-Ho;Choi, Jung-Keyng
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.1
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    • pp.75-82
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    • 2007
  • In advanced countries, a gas turbine engine is developed to use in aircraft, vessels, and target weapons. Our nation also passed the level of producing engine components and now, we are developing small-sized gas turbine engine. The most important point of the gas turbine engine, the engine control technique, is evaded by the advanced nations. This document contains the research about the development of the gas turbine engine simulator. The simulator presented in this document has a mathematical engine model based on a capacity data of the gas turbine engine to advance the engine simulator. Through this process, it eases the development of the gas turbine engine control algorithm and helps to check the engine controller function. In this simulator, the engine sensor signal conversion board is designed, so the engine model shows like a real sensor signal during the simulation. Also, this paper contrasts the actual engine test with the simulation results to verify the performance.

Reliable Measurement and Analysis System for Ubiquitous Healthcare (고신뢰 유비쿼터스 헬스케어 데이터 측정 및 분석 시스템)

  • Jung, Sang-Joong;Seo, Yong-Su;Kim, Jong-Jin;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.293-297
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    • 2009
  • This paper describes a real-time reliable measurement and analysis system for ubiquitous healthcare based on IEEE802.15.4 standard. In order to obtain and monitor physiological body signals continuously, wearable pulse oximeter is designed in wrist that could used to measure oxygen saturation of a patient unobtrusively. The measured data was transferred to a central PC or server by using wireless sensor nodes via a wireless sensor network for storage and analysis purposes. LabVIEW server program was designed to monitor and process the measured photoplethysmogram(PPG) to accelerated plethysmogram(APG) by appling second order derivatives in server PC. These experimental results demonstrate that APG can precisely describe the features of an individual's PPG and be used as estimation of vascular elasticity for blood circulation.

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A SPECK Crypto-Core Supporting Eight Block/Key Sizes (8가지 블록/키 크기를 지원하는 SPECK 암호 코어)

  • Yang, Hyeon-Jun;Shin, Kyung-Wook
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.468-474
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    • 2020
  • This paper describes the hardware implementation of SPECK, a lightweight block cipher algorithm developed for the security of applications with limited resources such as IoT and wireless sensor networks. The block cipher SPECK crypto-core supports 8 block/key sizes, and the internal data-path was designed with 16-bit for small gate counts. The final round key to be used for decryption is pre-generated through the key initialization process and stored with the initial key, enabling the encryption/decryption for consecutive blocks. It was also designed to process round operations and key scheduling independently to increase throughput. The hardware operation of the SPECK crypto-core was validated through FPGA verification, and it was implemented with 1,503 slices on the Virtex-5 FPGA device, and the maximum operating frequency was estimated to be 98 MHz. When it was synthesized with a 180 nm process, the maximum operating frequency was estimated to be 163 MHz, and the estimated throughput was in the range of 154 ~ 238 Mbps depending on the block/key sizes.

Computer-Interfacing Development for Propeller-Anemometer

  • Saad, Nor Hayati;Janin, Zuriati;Piah, Ruhaidawati Mohd Ali
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.515-519
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    • 2004
  • A Propeller-Anemometer is an instrument used specifically, to measure the wind speed. The accurate measurement of the wind speed is vitally important such required by any weather stations. In this research, the measurand of the instrumentation was the rotational speed of the propeller and the instrumentation result or output data was wind velocity. The speed measured was recorded digitally in the computer by using specific software. A specific sensor used to measure a variable by converting information of the variable (rotational speed of the propeller) into a dependent signal such as electrical signal in form of voltage. The development of Propeller-Anemometer involved few sets of instrumentation process and equipment. It included three major parts, mechanical, electronics and computer. The main instrumentation processes were physical and signal interfacing, signal conditioning, logic interfacing, data transmission to computer and processing the data. Generally, this paper presents the overall concept and design of Propeller-Anemometer Instrumentation. However, an emphasis was mainly in designing and building the interfacing system, hardware and software. Basically, for the first phase of the development, this project designed and built the RS232 terminal using Peripheral Interface Controller (PIC), PIC16F873. The hardware can be interfaced to computer or other compatible devices. This routine converted input voltage from the circuit to speed (velocity) and transmitted them afterwards to the target device by using the RS232 transmission protocol. This implementation implied a computer display as visual interface. For the purpose of this paper, RS232 data transmission was carried out using a Microsoft Visual Basic software routine.

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Comparison of Composite Methods of Satellite Chlorophyll-a Concentration Data in the East Sea

  • Park, Kyung-Ae;Park, Ji-Eun;Lee, Min-Sun;Kang, Chang-Keun
    • Korean Journal of Remote Sensing
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    • v.28 no.6
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    • pp.635-651
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    • 2012
  • To produce a level-3 monthly composite image from daily level-2 Sea-viewing Wide Field-of-view Sensor (SeaWiFS) chlorophyll-a concentration data set in the East Sea, we applied four average methods such as the simple average method, the geometric mean method, the maximum likelihood average method, and the weighted averaging method. Prior to performing each averaging method, we classified all pixels into normal pixels and abnormal speckles with anomalously high chlorophyll-a concentrations to eliminate speckles from the following procedure for composite methods. As a result, all composite maps did not contain the erratic effect of speckles. The geometric mean method tended to underestimate chlorophyll-a concentration values all the time as compared with other methods. The weighted averaging method was quite similar to the simple average method, however, it had a tendency to be overestimated at high-value range of chlorophyll-a concentration. Maximum likelihood method was almost similar to the simple average method by demonstrating small variance and high correlation (r=0.9962) of the differences between the two. However, it still had the disadvantage that it was very sensitive in the presence of speckles within a bin. The geometric mean was most significantly deviated from the remaining methods regardless of the magnitude of chlorophyll-a concentration values. Its bias error tended to be large when the standard deviation within a bin increased with less uniformity. It was more biased when data uniformity became small. All the methods exhibited large errors as chlorophyll-a concentration values dominantly scatter in terms of time and space. This study emphasizes the importance of the speckle removal process and proper selection of average methods to reduce composite errors for diverse scientific applications of satellite-derived chlorophyll-a concentration data.

Key Point Extraction from LiDAR Data for 3D Modeling (3차원 모델링을 위한 라이다 데이터로부터 특징점 추출 방법)

  • Lee, Dae Geon;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.34 no.5
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    • pp.479-493
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    • 2016
  • LiDAR(Light Detection and Ranging) data acquired from ALS(Airborne Laser Scanner) has been intensively utilized to reconstruct object models. Especially, researches for 3D modeling from LiDAR data have been performed to establish high quality spatial information such as precise 3D city models and true orthoimages efficiently. To reconstruct object models from irregularly distributed LiDAR point clouds, sensor calibration, noise removal, filtering to separate objects from ground surfaces are required as pre-processing. Classification and segmentation based on geometric homogeneity of the features, grouping and representation of the segmented surfaces, topological analysis of the surface patches for modeling, and accuracy assessment are accompanied by modeling procedure. While many modeling methods are based on the segmentation process, this paper proposed to extract key points directly for building modeling without segmentation. The method was applied to simulated and real data sets with various roof shapes. The results demonstrate feasibility of the proposed method through the accuracy analysis.