• Title/Summary/Keyword: Static Classification

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Study on the Pulse Diagnosis for Pattern Identifications in Stroke Patients (중풍환자의 변증에 따른 맥상의 분포)

  • Lee, Jung-Sup;Kang, Byoung-Kab;Ko, Mi-Mi;Kim, Bo-Young;Kim, Jeong-Cheol;Lee, In;Kim, Yun-Sik;Cho, Ki-Ho;Choi, Sun-Mi;Bang, Ok-Sun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.22 no.6
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    • pp.1378-1382
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    • 2008
  • This study is aim to evaluate pulse diagnosis as indicators for classification of the pattern identifications in stroke patients. To get the clinical information, we recruited the onset 1 month stroke patients through the multicenter network which consists of 13 oriental hospitals. The clinical informations about three pairs of pulse wave form and levels of their significancy based on the case report form (CRF) were collected and their distribution in each pattern identification were analyzed. The results are as follows Fire-Heat group shows high portions of floating pulse, rapid pulse and solid pulse. Qi Defficiency group has a greater portion of deep pulse, slow pulse, deficient pulse. The well-defined character of Phlegm-Retained Fluid, Yin Defficiency, Static Blood groups cannot be explained by pulse wave form. These results show a rough relationship between the pulse diagnosis and pattern identifications of stroke therefore, further studies are required to determine the pulse diagnosis as significant indicators of stroke pattern identification.

An EMG Signals Classification using Hybrid HMM and MLP Classifier with Genetic Algorithms (유전 알고리즘이 결합된 MLP와 HMM 합성 분류기를 이용한 근전도 신호 인식 기법)

  • 정정수;권장우;류길수
    • Journal of Korea Multimedia Society
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    • v.6 no.1
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    • pp.48-57
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    • 2003
  • This paper describes an approach for classifying myoelectric patterns using a multilayer perceptrons (MLP's) with genetic algorithm and hidden Markov models (HMM's) hybrid classifier. Genetic Algorithms play a role of selecting Multilayer Perceptron's optimized initial connection weights by its typical global search. The dynamic aspects of EMG are important for tasks such as continuous prosthetic control or various time length EMG signal recognition, which have not been successfully mastered by the most neural approaches. It is known that the hidden Markov model (HMM) is suitable for modeling temporal patterns. In contrast, the multilayer feedforward networks are suitable for static patterns. And, a lot of investigators have shown that the HMM's to be an excellent tool for handling the dynamical problems. Considering these facts, we suggest the combination of ANN and HMM algorithms that might lead to further improved EMG recognition systems.

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Real Time Gaze Discrimination for Human Computer Interaction (휴먼 컴퓨터 인터페이스를 위한 실시간 시선 식별)

  • Park Ho sik;Bae Cheol soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.3C
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    • pp.125-132
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    • 2005
  • This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Futhermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about 5°horizontally and 8°vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

Automatic Processing Techniques of Rotorcraft Flight Data Using Data Mining (회전익항공기 운동모델 개발을 위한 데이터마이닝을 이용한 비행데이터 자동 처리 기법)

  • Oh, Hyeju;Jo, Sungbeom;Choi, Keeyoung;Roh, Eun-Jung;Kang, Byung-Ryong
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.10
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    • pp.823-832
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    • 2018
  • In general, the fidelity of the aircraft dynamic model is verified by comparison with the flight test results of the target aircraft. Therefore, the reference flight data for performance comparisons must be extracted. This process requires a lot of time and manpower to extract useful data from the vast quantity of flight test data containing various noise for comparing fidelity. In particular, processing of flight data is complex because rotorcraft have high non-linearity characteristics such as coupling and wake interference effect and perform various maneuvers such as hover and backward flight. This study defines flight data processing criteria for rotorcraft and provides procedures and methods for automated processing of static and dynamic flight data using data mining techniques. Finally, the methods presented are validated using flight data.

Real Time Gaze Discrimination for Computer Interface (컴퓨터 인터페이스를 위한 실시간 시선 식별)

  • Hwang, Suen-Ki;Kim, Moon-Hwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.3 no.1
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    • pp.38-46
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    • 2010
  • This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNs). With GRNNs, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. Furthermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10% improvement in classification error. The angular gaze accuracy is about $5^{\circ}$horizontally and $8^{\circ}$vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

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A Study on the relations between change of productivity and conversion factor of the Accredited Hospitals based on Malmquist index (Malmquist 지수에 기초한 의료기관평가 대상 병원의 생산성 변동과 환산지수 변동에 관한 연구)

  • O, Dong-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.1
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    • pp.125-137
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    • 2011
  • This study aims to know whether the Accreditation of Hospitals can help to improve productivity of hospital and affect the conversion factor. Based on the Malmquist productivity Index, the productivity of accredited hospital improves. There exists an tendency that as the scores of Accreditation rises, productivity increases. Also the higher the productivity, the lower the conversion factors in the rigid statistical evidence. This evidence is independent of hospital classification, geographical distribution, grouping. This evidence supports the productivity index can be included in the fee negotiations. It also means that rather than static efficiency, the multi-year change of productivity information can be usefully combined to set a conversion factor in Korean National Insurance Contract especially in the discussion of the structural change of payment system.

A Study on Real Time Gaze Discrimination System using GRNN (GRNN을 이용한 실시간 시선 식별 시스템에 관한 연구)

  • Lee Young-Sik;Bae Cheol-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.2
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    • pp.322-329
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    • 2005
  • This paper describes a computer vision system based on active IR illumination for real-time gaze discrimination system. Unlike most of the existing gaze discrimination techniques, which often require assuming a static head to work well and require a cumbersome calibration process for each person, our gaze discrimination system can perform robust and accurate gaze estimation without calibration and under rather significant head movement. This is made possible by a new gaze calibration procedure that identifies the mapping from pupil parameters to screen coordinates using generalized regression neural networks (GRNNS). With GRNNS, the mapping does not have to be an analytical function and head movement is explicitly accounted for by the gaze mapping function. furthermore, the mapping function can generalize to other individuals not used in the training. To further improve the gaze estimation accuracy, we employ a reclassification scheme that deals with the classes that tend to be misclassified. This leads to a 10$\%$ improvement in classification error. The angular gaze accuracy is about $5^{circ}$horizontally and $8^{circ}$vertically. The effectiveness of our gaze tracker is demonstrated by experiments that involve gaze-contingent interactive graphic display.

Analysis of Structural Stability and Optical Performance for Optical Equipment During In-flight Vibration (항공기 진동에 대한 광학 탑재 장비 구조 안정성 및 광학 성능 분석)

  • Jo, Mun Shin;Kim, Sang Won
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.41 no.9
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    • pp.897-904
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    • 2017
  • Optical equipment consists of various components, and a detector is mounted and operated on aircraft, tanks, and warships for target detection and classification. The structural stability and optical performance of aeronautical optical equipment operated at several kilometers of altitude are degraded owing to vibration generated in the aircraft. It is necessary to verify the structural stability and optical performance requirements of the equipment in vibration environment conditions during the design phase. In this study, vibration environment conditions were analyzed using a test standard and the measurements of the vibration generated in aircraft. The conditions were classified as endurance and operating vibration conditions for structural stability and optical performance verification, respectively. The structural stability was verified according to natural frequency analysis, response analysis for the endurance vibration condition, and static analysis. The optical performance was verified by applying the vibration response analysis results to the optical design/analysis program.

A Study of Purity-based Page Allocation Scheme for Flash Memory File Systems (플래시 메모리 파일 시스템을 위한 순수도 기반 페이지 할당 기법에 대한 연구)

  • Baek, Seung-Jae;Choi, Jong-Moo
    • The KIPS Transactions:PartA
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    • v.13A no.5 s.102
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    • pp.387-398
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    • 2006
  • In this paper, we propose a new page allocation scheme for flash memory file system. The proposed scheme allocates pages by exploiting the concept of Purity, which is defined as the fraction of blocks where valid Pages and invalid Pages are coexisted. The Pity determines the cost of block cleaning, that is, the portion of pages to be copied and blocks to be erased for block cleaning. To enhance the purity, the scheme classifies hot-modified data and cold-modified data and allocates them into different blocks. The hot/cold classification is based on both static properties such as attribute of data and dynamic properties such as the frequency of modifications. We have implemented the proposed scheme in YAFFS and evaluated its performance on the embedded board equipped with 400MHz XScale CPU, 64MB SDRAM, and 64MB NAND flash memory. Performance measurements have shown that the proposed scheme can reduce block cleaning time by up to 15.4 seconds with an average of 7.8 seconds compared to the typical YAFFS. Also, the enhancement becomes bigger as the utilization of flash memory increases.

The Database Development of 2-D and 3-D Hands Measurement for Improving Fitness of Gloves - Focused on the Classification of Hand Type and Analysis of 3-D Hand Shape - (장갑의 적합성 향상을 위한 손부의 2차원 및 3차원 계측정보 DB구축에 관한 연구 -손의 유형분석 및 3차원 입체형상 분석을 중심으로-)

  • 최혜선;김은경
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.910
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    • pp.1300-1311
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    • 2004
  • The aim of this study was to provide the 2 and 3 dimensional statistics requisite in the sizing system and design of gloves. The 64 2-dimensional static measurements were selected to provide information about hands. Participants in the study were 824 adults, aged between 18 and 64. To summarize the information from the measurement values, a Factor Analysis and a Cluster Analysis among multivariate analyses were performed. 3-D scanner was used for visual results of hand shape of each cluster. The results were as follows. Twenty-two items were used for the factor and cluster analysis in order to classify the adult hand shape. The variable quantities that are explained by a total of 3 factors amounted to under 79.37% of the variable quantities. The definition results of the factors related to the hands are as follows: Factor 1 is the horizontal dimension, the thickness of hand factor; Factor 2 is the height of the crotch; and Factor 3 is the vertical dimension of the hand. The adults' group hand was divided into 2 clusters according to a cluster analysis using factor scores. The characteristics according to hand type were as follows: Cluster 1 referred to high horizontal dimensions and thickness, rather small vertical dimensions and crotch height; and Cluster 2 represented the rather smaller horizontal dimensions and thickness but longer hand length than Type 1. To provide specific shape data of each cluster, 3-D scanner measurement was performed. 3-dimensional data base was developed for each cluster type and visual information was provided.