• 제목/요약/키워드: Signal Monitoring

검색결과 1,950건 처리시간 0.032초

통신해양기상위성 기상해양데이터통신계의 예비 성능 해석 (A Preliminary Performance Analysis of the Meteorological and Ocean Data Communication Subsystem in COMS)

  • 김중표;양군호
    • 한국위성정보통신학회논문지
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    • 제1권2호
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    • pp.25-31
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    • 2006
  • 기상, 해양 및, Ka-대역 통신 탑재체를 탑재하고 정지궤도에서 기상 및 해양 감시 임무 및 통신 서비스를 수행하는 통신해양기상위성은 기상 및 해양 탑재체에서 관측된 원시 데이터의 지상국 전송 및 지상국에서 처리된 기상 데이터의 최종 사용자국에게 중계 전송을 기상해양데이터통신 서브시스템이 있다. 기상해양데이터통신 서브시스템은 기상 및 해양 탑재체에서 수집된 원시 데이터를 받아 CCSDS 권고안에 준하여 포맷하고 증폭기를 거쳐 지상국에 전송하는 SD 채널과 지상국에서 처리된 기상 데이터를 CGMS 권고안에 따라 LRIT/HRIT 포맷팅된 신호를 최종 사용자국에 중계하는 기능을 제공하는 MPDR 채널로 구성된다. 본 논문은 관측 데이터 전송 및 중계를 위해 구성된 기상 해양데이터통신 서브시스템을 구성하고 서브시스템 예비 성능 해석을 통해 주요 요구 성능 파라미터의 만족 여부를 확인하는데 있다.

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기관사의 각성상태 평가를 위한 소형 피부전기활성도 측정 시스템 개발 (Development of the Electrodermal Activity Monitoring System for the Evaluation of Train Driver's Arousal State)

  • 임민규;이영재;이강휘;강승진;김경남;박희정;양희경;이정환
    • 전기학회논문지
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    • 제63권9호
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    • pp.1286-1293
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    • 2014
  • Typically, studies through the simulation system have been progressed, because the evaluation of the driver's arousal state about the service of a actual train has risk of safety for the driver. When configured event same as the real in simulation system, the ability to cope with an accident situation may be the same each other. But the difference in the state of tension or arousal will occur. In this study, requested to cooperate with the railways in order to escape from these constraints, and the target of the experiment was to real engineer service. I was set about experiment when the train was stopped as safe as possible. As a result, the beta wave of EEG signals that representing complex calculations or anxiety is increased rapidly on the basis of a flag station from at the time of departure. The size of the electrodermal activity signal in response to movement of the body gave a noticeable. In terms of HRV, if the train approach a flag station gradually and the R-R interval is narrowed. So that the driver can be estimated as arousal state. In accordance with this study, if the quantitative standard of arousal state be based on the driver's biosignals will provide, it will be able to take advantage of development the system that would prevent train accidents caused by human error.

초음파를 이용한 유해적조의 실시간 음향탐지 시스템 개발 및 평가 (Development and Evaluation of Real-time Acoustic Detection System of Harmful Red-tide Using Ultrasonic Sound)

  • 강돈혁;임선호;이형빈;도재원;이윤호;최지웅
    • Ocean and Polar Research
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    • 제35권1호
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    • pp.15-26
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    • 2013
  • The toxic, Harmful Algal Blooms (HABs) caused by the Cochlodinium polykrikoides have a serious impact on the coastal waters of Korea. In this study, the acoustic detection system was developed for rapid HABs detection, based on the acoustic backscattering properties of the C. polykrikoides. The developed system was mainly composed of a pulser-receiver board, a signal processor board, a control board, a network board, a power board, ultrasonic sensors (3.5 and 5.0 MHz), an environmental sensor, GPS, and a land-based control unit. To evaluate the performance of the system, a trail was done at a laboratory, and two in situ trials were conducted: (1) when there was no red tide, and (2) when there was red tide. In the laboratory evaluation, the system performed well in accordance with the number of C. polykrikoides in the received level. Second, under the condition when there was no red tide in the field, there was a good correlation between the acoustic data and sampling data. Finally, under the condition when there was red tide in the field, the system successfully worked at various densities in accordance with the number of C. polykrikoides, and the results corresponded with the sampling data and monitoring result of NFRDI (National Fisheries Research & Development Institute). From the laboratory and field evaluations, the developed acoustic detection system for early detecting HABs has demonstrated that it could be a significant system to monitor the occurrence of HABs in coastal regions.

지하공간에서 노무자의 위치 인식을 위한 RTL 시스템 개선 (Improvement of RTL system for location monitoring of multi-laborers in the underground space)

  • 송기일;임진선;이항로
    • 한국터널지하공간학회 논문집
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    • 제18권3호
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    • pp.331-339
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    • 2016
  • 본 연구에서는 터널 및 지하건설현장에서 노무자의 안전을 관리할 수 있는 실시간 위치정보 시스템을 개발하였다. 이 시스템은 다수의 노무자들에 대한 실시간 위치 탐색 및 이동 이력을 확인할 수 있다. 이 시스템은 지하공간에서 다양한 노무자들의 이동 특성을 손쉽게 파악하기 위하여 저전력의 이동이 용이한 시스템으로 구성하였다. RSSI를 이용한 삼각측량으로 위치 인식을 하는 과거의 방법은 매우 큰 오차를 가지는 이유로 가속도계를 이용한 새로운 거리측정 방법 및 보정 방안을 제시하였다. 지하건설현장에서 개발한 시스템을 평가한 결과 움직임이 없는 경우 약 0.2 m 오차를 나타내었고, 움직임이 있는 경우 약 0.4 m의 오차가 발생하였으며, 현장에서 충분히 활용할 만한 결과를 나타내었다.

비행 시뮬레이터용 조종력 재현 장치 설계 및 시험연구 (Research on the Design and Evaluation of a Control Loading System for Flight Simulator)

  • 이찬석;김병수
    • 한국항공우주학회지
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    • 제32권4호
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    • pp.95-100
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    • 2004
  • 본 논문에서는 기계적 링키지의 가역 (Reversible) 비행조종장치를 갖는 항공기익 조종간 조종력 재현 시스템 (CLS : Control Loading System) 개발을 목적으로 조종력 재현 장치 제어기 설계, 시스템 구성, 조종력 재현 장치 운용 환경을 구축하고 시험평가를 수행한 내용을 기술한다. 시스템 구성은 기계적인 외형부분과 힘을 측정하는 센서부분과 스틱에서의 반력을 재현하는 모터부분과 안전장치로 되어 있다. 하드웨어와 PC간의 입출력 신호 연결 및 제이기로 dSpace 사의 DS1103 DSP장치를 사용하였다. 대상항공기 (KT-1)의 비행 조종장치 모델링을 바탕으로 피치축과 롤축에 대한 CLS를 구성하고, 조종력 재현장치 제어법칙 설계와 모니터링 S/W 및 실시간 시험평가도구를 포함한 시험평가 및 운용환경 대해 기술하였다. 정적 및 동적시험을 수행하여 실제 대상항공기 데이터와 비교함으로써 개발한 시스템을 검증하였다.

재활환자 모의보행 패턴분석을 이용한 하지 편측 장애자의 정량적 재활상태 모니터링 (Quantitative Rehabilitation Extent Monitoring for Unilateral Lower Extremity Disabled Patients using Simulated Gait Pattern Analysis)

  • 문동준;김주영;노시철;최흥호
    • 대한의용생체공학회:의공학회지
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    • 제35권6호
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    • pp.227-233
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    • 2014
  • In this paper, to quantitatively evaluate the degree of rehabilitation for the disabled of unilateral lower extremity, we compared the EMG pattern of normal and simulated abnormal gait. The EMG signal was measured at a rate of 1 kHz on the quadriceps and biceps femoris, the pressure sensor was attached to the sole in order to distinguish the gait cycle. Integrated EMG (IEMG) was obtained by the gait cycle, and classified four patterns that were the normal gait pattern, amplitude decrease pattern, reversed pattern, and irregular pattern. For comparison of the patterns, a curve fitting was performed using the trigonometric functions. The result of curve fitting, the method using a variable A that corresponds to the amplitude of the regression curve was able to distinguish the reverse pattern and remaining pattern. The coefficient of determination ($R^2$) representing coincidence of the pattern of the regression curve and EMG was confirmed the biggest value at the normal gait. Therefore, the degree of normal gait can be confirmed using the coefficient of determination. This results show that it is possible to quantitatively confirm the degree of unilateral lower extremity disabled rehabilitation, and it will be contributed to the study of efficient rehabilitation methods by objective analysis.

DEVELOPMENT OF GOCI/COMS DATA PROCESSING SYSTEM

  • Ahn, Yu-Hwan;Shanmugam, Palanisamy;Han, Hee-Jeong;Ryu, Joo-Hyung
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.90-93
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    • 2006
  • The first Geostationary Ocean Color Imager (GOCI) onboard its Communication Ocean and Meteorological Satellite (COMS) is scheduled for launch in 2008. GOCI includes the eight visible-to-near-infrared (NIR) bands, 0.5km pixel resolution, and a coverage region of 2500 ${\times}$ 2500km centered at 36N and 130E. GOCI has had the scope of its objectives broadened to understand the role of the oceans and ocean productivity in the climate system, biogeochemical variables, geological and biological response to physical dynamics and to detect and monitor toxic algal blooms of notable extension through observations of ocean color. The special feature with GOCI is that like MODIS, MERIS and GLI, it will include the band triplets 660-680-745 for the measurements of sun-induced chlorophyll-a fluorescence signal from the ocean. The GOCI will provide SeaWiFS quality observations with frequencies of image acquisition 8 times during daytime and 2 times during nighttime. With all the above features, GOCI is considered to be a remote sensing tool with great potential to contribute to better understanding of coastal oceanic ecosystem dynamics and processes by addressing environmental features in a multidisciplinary way. To achieve the objectives of the GOCI mission, we develop the GOCI Data Processing System (GDPS) which integrates all necessary basic and advanced techniques to process the GOCI data and deliver the desired biological and geophysical products to its user community. Several useful ocean parameters estimated by in-water and other optical algorithms included in the GDPS will be used for monitoring the ocean environment of Korea and neighbouring countries and input into the models for climate change prediction.

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인공신경회로망을 이용한 저항 점용접의 품질감시 (The Use of Artificial Neural Networks in the Monitoring of Spot Weld Quality)

  • 임태균;조형석;장희석
    • Journal of Welding and Joining
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    • 제11권2호
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    • pp.27-41
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    • 1993
  • The estimation of nugget sizes was attempted by utilizing the artificial neural networks method. Artificial neural networks is a highly simplified model of the biological nervous system. Artificial neural networks is composed of a large number of elemental processors connected like biological neurons. Although the elemental processors have only simple computation functions, because they are connected massively, they can describe any complex functional relationship between an input-output pair in an autonomous manner. The electrode head movement signal, which is a good indicator of corresponding nugget size was determined by measuring the each test specimen. The sampled electrode movement data and the corresponding nugget sizes were fed into the artificial neural networks as input-output pairs to train the networks. In the training phase for the networks, the artificial neural networks constructs a fuctional relationship between the input-output pairs autonomusly by adjusting the set of weights. In the production(estimation) phase when new inputs are sampled and presented, the artificial neural networks produces appropriate outputs(the estimates of the nugget size) based upon the transfer characteristics learned during the training mode. Experimental verification of the proposed estimation method using artificial neural networks was done by actual destructive testing of welds. The predicted result by the artifficial neural networks were found to be in a good agreement with the actual nugget size. The results are quite promising in that the real-time estimation of the invisible nugget size can be achieved by analyzing the process variable without any conventional destructive testing of welds.

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Stator Current Processing-Based Technique for Bearing Damage Detection in Induction Motors

  • Hong, Won-Pyo;Yoon, Chung-Sup;Kim, Dong-Hwa
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1439-1444
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    • 2005
  • Induction motors are the most commonly used electrical drives because they are rugged, mechanically simple, adaptable to widely different operating conditions, and simple to control. The most common faults in squirrel-cage induction motors are bearing, stator and rotor faults. Surveys conducted by the IEEE and EPRI show that the most common fault in induction motor is bearing failure (${\sim}$40% of failure). Thence, this paper addresses experimental results for diagnosing faults with different rolling element bearing damage via motor current spectral analysis. Rolling element bearings generally consist of two rings, an inner and outer, between which a set of balls or rollers rotate in raceways. We set the experimental test bed to detect the rolling-element bearing misalignment of 3 type induction motors with normal condition bearing system, shaft deflection system by external force and a hole drilled through the outer race of the shaft end bearing of the four pole test motor. This paper takes the initial step of investigating the efficacy of current monitoring for bearing fault detection by incipient bearing failure. The failure modes are reviewed and the characteristics of bearing frequency associated with the physical construction of the bearings are defined. The effects on the stator current spectrum are described and related frequencies are also determined. This is an important result in the formulation of a fault detection scheme that monitors the stator currents. We utilized the FFT, Wavelet analysis and averaging signal pattern by inner product tool to analyze stator current components. The test results clearly illustrate that the stator signature can be used to identify the presence of a bearing fault.

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CDMA 기지국에서 Pilot $E_c/I_o$ 보상기법을 이용한 수신감도 측정에 관한 연구 (A Study on Receiver Sensitivity Measurement using Pilot $E_c/I_o$ Compensation Method at CDMA Communication Network)

  • 정기혁;나극환
    • 대한전자공학회논문지TC
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    • 제44권8호
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    • pp.9-16
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    • 2007
  • 운용중인 기지국에서 각종 RF 파라미터의 측정은 매우 제한적으로 이루어지고 있으며, 일부 수행되고 있는 측정에서 조차 비교적 측정이 용이한 순방향 항목에 집중되고 있다. 본 논문에서는 기지국에 설치된 순방향 모니터링 포트를 이용하여 기지국의 역방향의 무선 품질을 측정이 기능한 측정장치를 설계하여 실제 운용 중인 기지국에서 검증시험을 실시함으로써 연구의 완성도 향상을 꾀하였다. 수신감도의 측정은 내장된 CDMA 모뎀을 이용하여 기지국과 음성호가 연결된 상태에서 폐루프 전력제어에 의한 모뎀의 출력을 감시함으로써 이루어질 수 있도록 하였다. 보다 정확한 계측을 위하여 모뎀의 TxAdj 파라미터와 함께 디텍터에 의한 실측 데이터를 이용하였다. 정확한 수신감도의 측정을 위해서는 트래픽이 없는 상황에서 측정이 이루어져야 하지만, 운용중인 시스템에서는 상황재현이 어려우므로 통화량 증가에 의한 수신감도의 열화정도를 보상함으로써 시간에 구애받지 않고 정확한 측정값을 얻을 수 있도록 $E_c/I_o$에 의한 보상기법을 적용하였다.