• Title/Summary/Keyword: Discrimination Information

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Visualization of Acupoint by Image Overlapping of Skin Current (피부전류량의 화상중첩에 의한 경혈의 시각화)

  • 이용흠;김용진;고수복;정동명
    • Proceedings of the IEEK Conference
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    • 1999.06a
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    • pp.563-566
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    • 1999
  • The functional diagnosis instrument should be preceded first to both the accurate selection of exact acupoint and discrimination. so the measuring and stimulating method are improved to SPAC pattern to evaluate impedance existed in the body. As a result, the resistance factor between skin and probe, the dipolization of cell was reduced so that the judgement of acupoint is advanced. After extraction of optimization parameter of SPAC pattern which the high discrimination efficiency and the lowest affection on the human body is controlled by using microprocessor to enhance conviction. The discrimination efficiency was confirmed by meridian visualization system. Also mechanism of probe was improved to increase efficiency of image recognition processing. The image of discriminated acupoint with probe is obtained by using a camera, the location on the tip of probe is recognized and processed. And then these are converted to virtual color by proportional to measuring current level of scan point on skin.

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A technique for the reduction of pulse pile-up effect in pulse-shape discrimination of organic scintillation detectors

  • Nakhostin, M.
    • Nuclear Engineering and Technology
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    • v.52 no.2
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    • pp.360-365
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    • 2020
  • A technique for the reduction of pulse pile-up effect in digital pulse-shape discrimination (PSD) of neutrons and gamma-rays with organic scintillation detectors is presented. The technique is based on an electronic reduction of the effective decay-time constant of scintillation pulses while retaining the PSD information of the pulses. The experimental results obtained with a NE213 liquid scintillation detector in a mixed radiation field of neutrons and gamma-rays are presented, demonstrating a figure of merit (FOM) of 1.20 ± 0.05 with an energy threshold of 350 keVee (electron equivalent energy) when the effective length of the pulses is reduced to 50 ns.

The Evaluation of the Fuzzy-Chaos Dimension and the Fuzzy-Lyapunov Ddimension (화자인식을 위한 퍼지-상관차원과 퍼지-리아프노프차원의 평가)

  • Yoo, Byong-Wook;Park, Hyun-Sook;Kim, Chang-Seok
    • Speech Sciences
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    • v.7 no.3
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    • pp.167-183
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    • 2000
  • In this paper, we propose two kinds of chaos dimensions, the fuzzy correlation and fuzzy Lyapunov dimensions, for speaker recognition. The proposal is based on the point that chaos enables us to analyze the non-linear information contained in individual's speech signal and to obtain superior discrimination capability. We confirm that the proposed fuzzy chaos dimensions play an important role in enhancing speaker recognition ratio, by absorbing the variations of the reference and test pattern attractors. In order to evaluate the proposed fuzzy chaos dimensions, we suggest speaker recognition using the proposed dimensions. In other words, we investigate the validity of the speaker recognition parameters, by estimating the recognition error according to the discrimination error of an individual speaker from the reference pattern.

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Design of optimal multiplexed filter and an analysis on the similar discrimination for music notatins recognition (음악기보 인식을 위한 다중필터의 설계 및 유사판별 성능분석)

  • Yeun, Jin-Seon;Kim, Nam
    • Journal of the Korean Institute of Telematics and Electronics D
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    • v.34D no.6
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    • pp.65-74
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    • 1997
  • In this paper, SA-multiplexed filter is designed using SA (simulated ananealing) to recognize music notation patterns varying in size, shape, position and having considerably many similar shapes for optical pattern recognition system. This filter has correlation resutls at wanted location and can identify same class, classify similar class for scale-varianted or rotation-varianted music notation patterns havng learning process. Also, the optimum filter is oriented to analyze on the similar discrimination at acquired position using SA and enhances optical diffractive efficiency as well as peak beam intensity. Compared with POF *(phase only filter), cosine-BPOF(cosine-binary phase only filter), that has excellent discrimination capability even if the different rate is 0.1% quantitatively.

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Block-Ordered Layered Detector for MIMO-STBC Using Joint Eigen-Beamformers and Ad-Hoc Power Discrimination Scheme

  • Lee Won-Cheol
    • Journal of Communications and Networks
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    • v.8 no.3
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    • pp.275-285
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    • 2006
  • Suitable for multi-input multi-output (MIMO) communications, the joint beamforming space-time block coding (JBSTBC) scheme is proposed for high-speed downlink transmission. The major functionality of the scheme entails space-time block encoder and joint transmit and receive eigen-beamformer (EBF) incorporating with block-ordered layered decoder (BOLD), and its operating principle is described in this paper. Within these functionalities, the joint EBFs will be utilized for decorrelating fading channels to cause an enhancement in the spatial diversity gain. Furthermore, to fortify the capability of layered successive interference cancellation (LSIC) in block-ordered layered decoding process, this paper will develop a simple ad-hoc transmit power discrimination scheme (TPDS) based on a particular power discrimination function (PDF). To confirm the superior behavior of the proposed JBSTBC scheme employing ad-hoc TPDS, computer simulations will be conducted under various channel conditions with the provision of detailed mathematical derivations for clarifying its functionality.

Rapid Identification of Petroleum Products by Near-Infrared Spectroscopy

  • 정호일;최혁진;구민식
    • Bulletin of the Korean Chemical Society
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    • v.20 no.9
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    • pp.1021-1025
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    • 1999
  • Near-infrared (NIR) spectroscopy has been successfully utilized for the rapid identification of six typical petroleum products such as light straight-run (LSR), naphtha, kerosine, light gas oil (LGO), gasoline, and diesel. The spectral features of each product were reasonably differentiated in the NIR region, and the spectral differences provided enough qualitative spectral information for discrimination. For discrimination, principal component analysis (PCA) combined with Mahalanobis distance was used to identify each petroleum product from NIR spectra. The results showed that each product was accurately identified with an accuracy over 95%. Most noticeably, LSR, kerosine, gasoline, and diesel samples were predicted with identification accuracy of 99%. The overall results ensure that a portable NIR instrument combined with a multivariate qualitative discrimination method can be efficiently utilized for rapid and simple identification of petroleum products. This is especially important when local at-site measurements are necessary, such as accidental petroleum leakage and regulation of illegal product blending.

Loss Discrimination Mechanism for Improving the Performance of TFRC in Last-hop Wireless Networks (라스트 홉 무선 네트워크에서 TFRC의 성능향상을 위한 손실 구별 기법)

  • Jeong, Kyu-Min;Koo, Ja-Hon;Chung, Kwang-Sue
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.2
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    • pp.227-231
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    • 2010
  • The TFRC is a congestion control mechanism which supports the requirements of video streaming applications and controls its sending rate by using the information such as loss event rate and RTT (round-trip time). However, TFRC has a performance degradation in wireless networks because it performs congestion control by judging all the losses occurred in wireless network as a congestion signal. In this paper, we propose new loss discrimination mechanism which is using ECN in order to solve the performance degradation of TFRC. Through the results of simulation, we proved that the proposed mechanism can improve the performance of TFRC.

Segmentation by Contour Following Method with Directional Angle

  • Na, Cheol-Hun;Kim, Su-Yeong;Kang, Seong-Jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.874-877
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    • 2012
  • This paper proposes the new method based on contour following method with directional angle to segment the cell into the nuclei. The object image was the Thyroid Gland cell image that was diagnosed as normal and abnormal(two types of abnormal : follicular neoplastic cell, and papillary neoplastic cell), respectively. The nuclei were successfully diagnosed as normal and abnormal. this paper, improved method of digital image analysis required in basic medical science for diagnosis of cells was proposed. The object image was the Thyroid Gland cell image with difference of chromatin patterns. To segment the cell nucleus from background, the region segmentation algorithm by edge tracing was proposed. And feature parameter was obtained from discrete Fourier transformation of image. After construct a feature sample group of each cells, experiment of discrimination was executed with any verification cells. As a result of experiment using features proposed in this paper, get a better segmentation rate(70-90%) than previously reported papers, and this method give shape to get objectivity and fixed quantity in diagnosis of cells. The methods described in this paper be used immediately for discrimination of neoplastic cells.

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Analysis of Massive MIMO Wireless Channel Characteristics (Massive MIMO 시스템의 무선 채널 특성 분석)

  • Jang, Jeong-Uk;Kim, Jin-Hyuk;Mun, Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38B no.3
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    • pp.216-221
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    • 2013
  • In this paper, wireless channel characteristics of massive MIMO system is analyzed by comparing angular spread, cross polarization discrimination(XPD) and delay spread of dual polarized 4 and 128 transmit array antenna systems, by using 3D rat-tracing simulator, Wireless Insite in microcell environments. The analysis shows that increasing the number of transmit antennas results in the smaller angular spread and delay spread, and the higher value of XPD.

Design and Performance Evaluation of Support Vector Machine based Loss Discrimination Algorithm for TCP Performance Improvement (TCP 성능개선을 위한 SVM 기반 LDA 설계 및 성능평가)

  • Kim, Do-Ho;Lee, Jae-Yong;Kim, Byung-Chul
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.451-453
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    • 2019
  • Recently, as the use of wireless communication devices has increased, the wireless network usage has increased, and a wired network and a wireless network have been mixed to form a network. Existing TCP algorithms are designed for wired networks. Therefore, in the modern network environment, packet loss can not be accurately distinguished and improper congestion control is performed, resulting in degradation of TCP performance. In this paper, we propose SLDA (Support Vector Machine based Loss Discrimination Algorithm) which can accurately classify the packet loss environment to improve TCP performance and evaluate its performance.

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