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Rapid and Sensitive Detection of Hepatitis C Virus in Clinical Blood Samples Using Reverse Transcriptase Polymerase Spiral Reaction

  • Sun, Wenying;Du, Ying;Li, Xingku;Du, Bo
    • Journal of Microbiology and Biotechnology
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    • 제30권3호
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    • pp.459-468
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    • 2020
  • This study established a new polymerase spiral reaction (PSR) that combines with reverse transcription reactions for HCV detection targeting 5'UTR gene. To avoid cross-contamination of aerosols, an isothermal amplification tube (IAT), as a separate containment control, was used to judge the result. After optimizing the RT-PSR reaction system, its effectiveness and specificity were tested against 15 different virus strains which included 8 that were HCV positive and 7 as non-HCV controls. The results showed that the RT-PSR assay effectively detected all 8 HCV strains, and no false positives were found among the 7 non-HCV strains. The detection limit of our RT-PSR assay is comparable to the real-time RT-PCR, but is more sensitive than the RT-LAMP. The established RT-PSR assay was further evaluated for detection of HCV in clinical blood samples, and the resulting 80.25% detection rate demonstrated better or similar effectiveness compared to the RT-LAMP (79.63%) and real-time RT-PCR (80.25%). Overall, the results showed that the RT-PSR assay offers high specificity and sensitivity for HCV detection with great potential for screening HCV in clinical blood samples.

Autonomous Real-time Relative Navigation for Formation Flying Satellites

  • Shim, Sun-Hwa;Park, Sang-Young;Choi, Kyu-Hong
    • Journal of Astronomy and Space Sciences
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    • 제26권1호
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    • pp.59-74
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    • 2009
  • Relative navigation system is presented using GPS measurements from a single-channel global positioning system (GPS) simulator. The objective of this study is to provide the real-time inter-satellite relative positions as well as absolute positions for two formation flying satellites in low earth orbit. To improve the navigation performance, the absolute states are estimated using ion-free GRAPHIC (group and phase ionospheric correction) pseudo-ranges and the relative states are determined using double differential carrier-phase data and singled-differential C/A code data based on the extended Kalman filter and the unscented Kalman filter. Furthermore, pseudo-relative dynamic model and modified relative measurement model are developed. This modified EKF method prevents non-linearity of the measurement model from degrading precision by applying linearization about absolute navigation solutions not about the priori estimates. The LAMBDA method also has been used to improve the relative navigation performance by fixing ambiguities to integers for precise relative navigation. The software-based simulation has been performed and the steady state accuracies of 1 m and 6 mm ($1{\sigma}$ of 3-dimensional difference errors) are achieved for the absolute and relative navigation using EKF for a short baseline leader/follower formation. In addition, the navigation performances are compared for the EKF and the UKF for 10 hours simulation, and relative position errors are mm-level for the two filters showing the similar trends.

스마트폰을 이용한 식이섭취 모니터링이 비만여성의 체중변화에 미치는 효과 분석 (Effect of Food Consumption Monitoring Using a Smartphone on Weight Changes in Obese Women)

  • 김영숙;온정자;홍양희;홍인선;장은재
    • 대한영양사협회학술지
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    • 제20권2호
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    • pp.123-132
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    • 2014
  • This study investigated the effect of food consumption monitoring and real-time communication-based weight control program using a smartphone on weight reduction and maintenance in obese women. This study consisted of two phases: an 8-week weight control program with food consumption monitoring and real-time communication using a smartphone and an 8-week follow-up. Sixteen obese female college students (>30% body fat) participated in this program, and we measured changes in body composition and dietary intake volume. Follow-up analysis focused on weight maintenance after 8 weeks of no contact. Total energy intake (P<0.01), body weight (P<0.001), percent body fat (P<0.001), body fat (P<0.05), and body mass index (P <0.001) decreased significantly after the 8-week weight control program. However, we could not observe total energy intake or body composition regain after the follow-up period. These results suggest that food consumption monitoring and real-time communication using a smartphone can be effective for weight control and maintenance.

스마트 폰을 위한 센서기반 건강 다이어트 어플의 설계 (Design of Sensor-based Healthy Diet App for Smartphones)

  • 오선진
    • 한국인터넷방송통신학회논문지
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    • 제14권4호
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    • pp.141-147
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    • 2014
  • 최근 스마트 폰 주요 기능의 급속한 발전과 더불어 스마트 폰과 연계된 많은 응용들이 속속 개발되고 있으며, 다양한 관련 기술과의 융합을 통해 획기적인 모바일 응용들이 개발되어 빠르게 확산되고 있는 실정이다. 본 논문에서는 이러한 스마트 폰의 다양한 기능들을 효과적으로 활용할 수 있도록 주변의 센서와 같은 장치들과 연동한 스마트한 모바일 응용의 설계를 제안한다. 본 논문에서 제안한 모바일 응용은 스마트 폰의 블루투스 모듈을 이용하여 주변의 다양한 상황정보 센서들과 일시적인 애드 혹 망을 형성하고 사용자의 생체 상황정보를 실시간으로 수집하여, 사용자가 효과적인 다이어트를 수행하는데 반영하여 건강한 다이어트를 수행할 수 있도록 하는 스마트 폰을 위한 센서 기반 건강 다이어트 어플을 설계하고 구현하였다.

A Study on the Analysis of the Current Situation of the Target Site Using the Image of Unmanned Aircraft in the Environmental Impact Assessment

  • Ki-Sun Song;Sun-Jib Kim
    • International Journal of Advanced Culture Technology
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    • 제11권2호
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    • pp.381-388
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    • 2023
  • Small-scale environmental impact assessments have limitations in terms of survey duration and evaluation resources, which can hinder the assessment and analysis of the current situation. In this study, we propose the use of drone technology during the environmental impact assessment process to supplement these limitations in the current situation analysis. Drone photography can provide rapid and accurate high-resolution images, allowing for the collection of various information about the target area. This information can include different types of data such as terrain, vegetation, landscape, and real-time 3D spatial information, which can be collected and processed using GIS software to understand and analyze the environmental conditions. In this study, we confirmed that terrain and vegetation analysis and prediction of the target area using drone photography and GIS analysis software is possible, providing useful information for environmental impact assessments.

MAXIMUM BRAKING FORCE CONTROL UTILIZING THE ESTIMATED BRAKING FORCE

  • Hong, D.;Hwang, I.;SunWoo, M.;Huh, K.
    • International Journal of Automotive Technology
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    • 제8권2호
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    • pp.211-217
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    • 2007
  • The wheel slip control systems are able to control the braking force more accurately and can be adapted to different vehicles more easily than conventional ABS (Anti-lock Brake System) systems. In realizing the wheel slip control systems, real-time information such as the tire braking force at each wheel is required. In addition, the optimal target slip values need to be determined depending on the braking objectives such as minimum braking distance and stability enhancement. In this paper, a robust wheel slip controller is developed based on the adaptive sliding mode control method and an optimal target slip assignment algorithm is proposed for maximizing the braking force. An adaptive law is formulated to estimate the braking force in real-time. The wheel slip controller is designed based on the Lyapunov stability theory considering the error bounds in estimating the braking force and the brake disk-pad friction coefficient. The target slip assignment algorithm searches for the optimal target slip value based on the estimated braking force. The performance of the proposed wheel slip control system is verified in HILS (Hardware-In-the-Loop Simulator) experiments and demonstrates the effectiveness of the wheel slip control in various road conditions.

Distributed control system architecture for deep submergence rescue vehicles

  • Sun, Yushan;Ran, Xiangrui;Zhang, Guocheng;Wu, Fanyu;Du, Chengrong
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제11권1호
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    • pp.274-284
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    • 2019
  • The control architectures of Chuan Suo (CS) deep submergence rescue vehicle are introduced. The hardware and software architectures are also discussed. The hardware part adopts a distributed control system composed of surface and underwater nodes. A computer is used as a surface control machine. Underwater equipment is based on a multi-board-embedded industrial computer with PC104 BUS, which contains IO, A/D, D/A, eight-channel serial, and power boards. The hardware and software parts complete data transmission through optical fibers. The software part involves an IPC of embedded Vxworks real-time operating system, upon which the operation of I/O, A/D, and D/A boards and serial ports is based on; this setup improves the real-time manipulation. The information flow is controlled by the software part, and the thrust distribution is introduced. A submergence vehicle heeling control method based on ballast water tank regulation is introduced to meet the special heeling requirements of the submergence rescue vehicle during docking. Finally, the feasibility and reliability of the entire system are verified by a pool test.

시뮬레이터 기반 퍼지알고리즘과 환경스트레스모델을 이용한 선박 충돌위험도 추정에 관한 연구 (Study on the Estimation of Collision Risk of Ship in Ship Handling Simulator using Fuzzy Algorithm and Environmental Stress Model)

  • 손남선;김선영;공인영
    • 한국항해항만학회지
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    • 제33권1호
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    • pp.43-50
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    • 2009
  • 최근 해양사고가 날로 증가되고 있으며, 특히, 인적과실로 인한 충돌사고의 비중은 70%에 이르고 있다. 본 연구에서는 실시간 충돌 위험도 표시 시스템을 개발하였는데, 충돌위험도를 사전에 인지함으로써 비상상황에 효과적으로 대처하고, 인적과실로 인한 충돌위험도를 줄이고자 하였다. 충돌위험도 추정을 위해, 선박들 간에 충돌위험도를 평가하는 퍼지알고리즘을 이용한 방법과 항해사가 느끼는 환경스트레스를 이용하여 충돌위험도를 평가하는 방법의 두 가지를 비교 검토하였다. 실시간 충돌위험도 추정 알고리즘을 검증하기 위해 선박운항 시뮬레이터에 설치하고 다양한 시뮬레이션을 수행하였다.

웨이블렛 변환 영역에서의 방향 정보를 이용한 지문인식 알고리즘 (Automatic fingerprint recognition using directional information in wavelet transform domain)

  • 이우규;정재호
    • 한국통신학회논문지
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    • 제22권10호
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    • pp.2317-2328
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    • 1997
  • 본 논문은 융선의 방향정보를 사용하여 지문을 실시간 자동 인식하는 알고리즘을 제안한다. 융선의 방향정보는 웨이블렛 변환(WT) 그리고 경사 가우시안(gradient of Gaussian)과 코히리언스(coherence)로부터 얻어진 주된 국부 방향(dominant local orientation)을 사용하여 추출한다. 웨이블렛 변환의 적용은 기존에 제안된 알고리즘들에 포함되어 있는 평활화(smoothing), 이진화(binarization), 세션화(thinning) 및 보정(restoration)등 여러 전처리 과정의 생략을 의미하며, 따라서 제안하는 알고리즘의 실시간 처리를 가능하게 한다. 지문 인식은 웨이블렛 변환상에서 3개의 영역-크기가 1/4로 작아진 영역(LL), 수직 성분이 강조된 영역(LH), 그리고 수평 영역이 강조된 영역(HL)-에 나타나는 주된 국부 방향을 사용하여 빠르고 효율적으로 수행된다. 제안한 알고리즘은 SunSparc-2 워크 스테이션 환경의 X-window에서 구현되었으며, $256{\times}256$ 화소 크기의 지문 영상에 적용하여 성능을 평가하였다. 그 결과, 상이한 지문을 동일 지문으로 오인식하는 Type II 에러율을 0%로 했을때, 동일 지문을 상이한 지문으로 오인식 하는 Type I 에러율은 2.5%로서 매우 좋은 성능을 보였다.

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불량애자 검출을 위한 비젼 기반 전파 신경망 (Propagation Neural Networks based on vision techniques for detecting of Faulty Insulator)

  • 김종만;김영민;황종선;박현철;임성호
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2002년도 하계학술대회 논문집 Vol.3 No.2
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    • pp.1097-1102
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    • 2002
  • For detecting of Faulty Insulator, a new Lateral Information Propagation Networks (LIPN) has been proposed. Energized insulator is reduced the rate of insulation extremely, and taken the results dirty and injured. It is necessary to be actions that detect the faulty insulator and exchange the new one. And thus, we have designed the LIPN to be detected that insulators by the real time computation method through the inter-node diffusion. In the network, a node corresponds to a state in the quantized input space. Each node is composed of a processing unit and fixed weights from its neighbor nodes as well as its input terminal. Information propagates among neighbor nodes laterally and inter-node interpolation is achieved. Through several simulation experiments,real time reconstruction of the nonlinear image information is processed.

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