• Title/Summary/Keyword: Power Detection System

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Forensic STR Analysis of Mixed Chimerism after Allogeneic Bone Marrow Transplantation

  • Eom, Yong-Bin
    • Biomedical Science Letters
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    • v.16 no.3
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    • pp.193-196
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    • 2010
  • Multiplex PCR-based short tandem repeat (STR) analysis is considered as a good tool for monitoring bone marrow engraftment after sex-mismatched allogeneic transplantation and provides a sensitive and accurate assessment of the contribution of both donor and/or recipient cells in post-transplantation specimens. Forensic STR analysis and quantitative real time PCR are used to determine the proportion of donor versus recipient each contained within the total DNA. The STR markers were co-amplified in a single reaction by using commercial $PowerPlex^{(R)}$ 16 system and $AmpFISTR^{(R)}$ $Identifiler^{(R)}$ / $Yfiler^{(R)}$ PCR amplification kits. Separation of the PCR products and fluorescence detection were performed by ABI $PRIS^{(R)}$ 3100 Genetic Analyzer with capillary electrophoresis. The $GeneMapper^{TM}$ ID software were used for size calling and analysis of STR profiles. Extracted DNA was quantified by the $Quantifiler^{TM}$ Human DNA / Y Human Male DNA Quantification Kit The intent of this study was to analyze the ratio of donor versus recipient cells in the post-transplant peripheral blood, spleen, lung and kidney specimens. Specimens were taken from the traffic accident male victim who had been engrafted from bone marrow female donor. Blood and spleen specimens displayed female donor DNA profile. Kidney specimen showed male recipient DNA profile. Interestingly, lung tissue showed mixed profiles. The findings of this study indicate that the forensic STR analysis using fluorescence labeling PCR combined with capillary electrophoresis is quick and reliable enough to assess the ratio of donor versus recipient cells and to monitor the mixed chimeric patterns.

Control Algorithm of the Lower-limb Powered Exoskeleton Robot using an Intention of the Human Motion from Muscle (인체근육의 동작의도를 이용한 하지 근력증강형 외골격 로봇의 제어 알고리즘)

  • Lee, Hee-Don;Kim, Wan-Soo;Lim, Dong-Hwan;Han, Chang-Soo
    • The Journal of Korea Robotics Society
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    • v.12 no.2
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    • pp.124-131
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    • 2017
  • This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.

A Proposal of Modulation Method and Vibrator Structure for the Improvement of Power Transfer Efficiency of the Implantable Middle Ear (이식형 인공중이의 전력전달효율 개선을 위한 변조방식 및 진동체 구조 제안)

  • Song, B.S.;Jung, Y.S.;Yoon, Y.H.;Won, C.H.;Kim, M.N.;Park, S.K.;Lee, S.H.;Cho, J.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.136-140
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    • 1997
  • In this paper, we proposed a implantable middle ear system using FM transmission and receiving method which has higher detection efficiency than that of AM method. And a new shape of vibrating transducer which is more efficiently vibrate than the conventional type is designed. This tranducer consist of coil and small T-type cylindrical permanent magnet. We investigated and compared the differences between conventional methods and proposed methods by quantitive analysis. We proved them by experiment.

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A Study on the Algorithm for Fault Discrimination in Transmission Lines Using Neural Network and the Variation of Fault Currents (신경회로망과 고장전류의 변화를 이용한 고장판별 알고리즘에 관한 연구)

  • Yeo, Sang-Min;Kim, Chul-Hwan;Choi, Myeon-Song;Song, Oh-Young
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.366-368
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    • 2000
  • When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper proposes the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

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Recent Technologies for the Acquisition and Processing of 3D Images Based on Deep Learning (딥러닝기반 입체 영상의 획득 및 처리 기술 동향)

  • Yoon, M.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.5
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    • pp.112-122
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    • 2020
  • In 3D computer graphics, a depth map is an image that provides information related to the distance from the viewpoint to the subject's surface. Stereo sensors, depth cameras, and imaging systems using an active illumination system and a time-resolved detector can perform accurate depth measurements with their own light sources. The 3D image information obtained through the depth map is useful in 3D modeling, autonomous vehicle navigation, object recognition and remote gesture detection, resolution-enhanced medical images, aviation and defense technology, and robotics. In addition, the depth map information is important data used for extracting and restoring multi-view images, and extracting phase information required for digital hologram synthesis. This study is oriented toward a recent research trend in deep learning-based 3D data analysis methods and depth map information extraction technology using a convolutional neural network. Further, the study focuses on 3D image processing technology related to digital hologram and multi-view image extraction/reconstruction, which are becoming more popular as the computing power of hardware rapidly increases.

Performance of Interference Mitigation with Different Wavelets in Global Positioning Systems

  • Seo, Bo-Seok;Park, Kwi-Woo;Park, Chansik
    • Journal of Positioning, Navigation, and Timing
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    • v.8 no.4
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    • pp.165-173
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    • 2019
  • In this paper, we apply a discrete wavelet packet transform (DWPT) to reduce the influence of interference in global positioning system (GPS) signals and compare the interference mitigation performance of various wavelets. By applying DWPT to the received signal, we can gradually divide the received signal band into low-pass and high-pass bands. After calculating the average power for the separate bands, we can determine whether there is interference by comparing the value with the given threshold. For a band that includes interference, we can reconstruct the whole band signal using inverse DWPT (IDWPT) after applying a nulling method that sets all of the wavelet coefficients to 0. The reconstructed signals are correlated with the pseudorandom noise (PRN) codes to acquire GPS signals. The performance evaluation is based on the number of satellite signals whose peak ratio (defined as the ratio of the first and second correlation peak values in the acquisition stage) exceeds the threshold. In this paper, we compare and evaluate the performance of 6 wavelets including Haar, Daubechies, Symlets, Coiflets, Biorthogonal Splines, and Discrete Meyer.

Recent R&D activities on structural health monitoring in Korea

  • Kim, Jeong-Tae;Sim, Sung-Han;Cho, Soojin;Yun, Chung-Bang;Min, Jiyoung
    • Structural Monitoring and Maintenance
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    • v.3 no.1
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    • pp.91-114
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    • 2016
  • In this paper, recent research trends and activities on structural health monitoring (SHM) of civil infrastructure in Korea are reviewed. Recently, there has been increasing need for adopting smart sensing technologies to SHM, so this review focuses on smart sensing, monitoring, and assessment for civil infrastructure. Firstly, the research activities on smart sensor technology is reviewed including optical fiber sensors, piezoelectric sensors, wireless smart sensors, and vision-based sensing system. Then, a brief overview is given to the recent advances in smart monitoring and assessment techniques such as vibration-based global monitoring techniques, local monitoring with piezoelectric materials, decentralized monitoring techniques for wireless sensors, wireless power supply and energy harvest. Finally, recent joint SHM activities on several test beds in Korea are discussed to share the up-to-date information and to promote the smart sensors and monitoring technologies for applications to civil infrastructure. It includes a Korea-US joint research on test bridges of the Korea Expressway Corporation (KEC), a Korea-US-Japan joint research on Jindo cable-stayed bridge, and a comparative study for cable tension measurement techniques on Hwamyung cable-stayed bridge, and a campaign test for displacement measurement techniques on Sorok suspension bridge.

Development Small Size RGB Sensor for Providing Long Detecting Range (원거리 검출범위를 제공하는 소형 RGB 센서 개발)

  • Seo, Jae Yong;Lee, Si Hyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.12
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    • pp.174-182
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    • 2015
  • In this paper, we developed the small size RGB sensor that recognizes a long distance using a low-cost color sensor. Light receiving portion of the sensor was used as a camera lens for far distance recognition, and illuminating unit was increased the strength of the light by using a high-power white LED and a lens mounted on the reflector. RGB color recognition algorithm consists of the learning process and the realtime recognition process. We obtain a normalized RGB color reference data in the learning process using the specimens painted with target colors, and classifies the three colors using the Mahalanobis distance in recognition process. We apply the developed the RGB color recognition sensor to a prototype of the part classification system and evaluate the performance of its.

Sensing Method of the Initial Rotor Position in Switched Reluctance Motors Using Search Coils (서치 코일을 이용한 스위치드 릴럭턴스 모터의 초기 회전자 위치 검출법)

  • Song J.S.;Yang H.Y.;Ryoo Y.J.;Lim Y.C.
    • Proceedings of the KIPE Conference
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    • 2003.07b
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    • pp.681-685
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    • 2003
  • In this paper, an sensing method of initial rotor position in Switched Reluctance Motor(SRM) at standstill is proposed. In case search coils are used as a position sensor, A search coil used in a method of detecting positions of TSRM has many advantages, which is highly efficient in low cost and maintenance free, and characterized by its function and role as a position sensor. However, the initial rotor position detection is very difficult because the search coil's EMF is not exist at a standstill. In this paper, a new sensing method of initial rotor position using squared Euclidean distance at a standstill too is suggested. The simulation and experiment for the proposed method are achieved. The validity of the proposed method is verified by experimental results.

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Development of an Inductive Proximity Sensor in Active Magnetic Bearing System for Magnetically Suspended Centrifugal Blood Pumps (능동 자기 베어링 방식의 자기 부상 원심성 혈액 펌프를 위한 유도성 근접 센서 개발)

  • Kim, H.I.;Kim, H.C.
    • Proceedings of the KOSOMBE Conference
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    • v.1998 no.11
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    • pp.245-246
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    • 1998
  • AMB(Active Magnetic Bearing) systems are popularly used in various areas. In biomedical engineering applications it is a key part of magnetically suspended rotary blood pumps. The special advantage of AMBs is that they enable the rotor to revolve with no physical contact and provide rotary blood pumps with better performances such as low hemolysis level. Fundamentally, AMB systems consist of three parts, proximity sensors for distance detection, microprocessor for control algorithm and power amplifiers for actuating electromagnets. We have developed an inductive type proximity sensor with satisfactory characteristics that can be used in AMB systems. Frequency response was flat at least up to 10 kHz and sensitivity, resolution$(>5{\mu}m)$ and sensing range(<5mm) of the sensor could be adjustable for various purposes. The characteristics of the completed model showed to have satisfactory behaviors compared with the commercially available ones that already appeared to have reliable behaviors in AMB systems.

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