• 제목/요약/키워드: Recognitions

검색결과 227건 처리시간 0.02초

An Application of a Parallel Algorithm on an Image Recognition

  • Baik, Ran
    • Journal of Multimedia Information System
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    • 제4권4호
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    • pp.219-224
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    • 2017
  • This paper is to introduce an application of face recognition algorithm in parallel. We have experiments of 25 images with different motions and simulated the image recognitions; grouping of the image vectors, image normalization, calculating average image vectors, etc. We also discuss an analysis of the related eigen-image vectors and a parallel algorithm. To develop the parallel algorithm, we propose a new type of initial matrices for eigenvalue problem. If A is a symmetric matrix, initial matrices for eigen value problem are investigated: the "optimal" one, which minimize ${\parallel}C-A{\parallel}_F$ and the "super optimal", which minimize ${\parallel}I-C^{-1}A{\parallel}_F$. In this paper, we present a general new approach to the design of an initial matrices to solving eigenvalue problem based on the new optimal investigating C with preserving the characteristic of the given matrix A. Fast all resulting can be inverted via fast transform algorithms with O(N log N) operations.

Enhancement of Particle Swarm Optimization by Stabilizing Particle Movement

  • Kim, Hyunseok;Chang, Seongju;Kang, Tae-Gyu
    • ETRI Journal
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    • 제35권6호
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    • pp.1168-1171
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    • 2013
  • We propose an improvement of particle swarm optimization (PSO) based on the stabilization of particle movement (PM). PSO uses a stochastic variable to avoid an unfortunate state in which every particle quickly settles into a unanimous, unchanging direction, which leads to overshoot around the optimum position, resulting in a slow convergence. This study shows that randomly located particles may converge at a fast speed and lower overshoot by using the proportional-integral-derivative approach, which is a widely used feedback control mechanism. A benchmark consisting of representative training datasets in the domains of function approximations and pattern recognitions is used to evaluate the performance of the proposed PSO. The final outcome confirms the improved performance of the PSO through facilitating the stabilization of PM.

Fear and Surprise Facial Recognition Algorithm for Dangerous Situation Recognition

  • Kwak, NaeJoung;Ryu, SungPil;Hwang, IlYoung
    • International Journal of Internet, Broadcasting and Communication
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    • 제7권2호
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    • pp.51-55
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    • 2015
  • This paper proposes an algorithm for risk situation recognition using facial expression. The proposed method recognitions the surprise and fear expression among human's various emotional expression for recognizing dangerous situation. The proposed method firstly extracts the facial region using Harr-like technique from input, detects eye region and lip region from the extracted face. And then, the method applies Uniform LBP to each region, detects facial expression, and recognizes dangerous situation. The proposed method is evaluated for MUCT database image and web cam input. The proposed method produces good results of facial expression and discriminates dangerous situation well and the average recognition rate is 91.05%.

CBAM 모델에 관한 연구 (A Study on CBAM model)

  • 임용순;이근영
    • 전자공학회논문지B
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    • 제31B권5호
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    • pp.134-140
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    • 1994
  • In this paper, an algorithm of CBAM(Combination Bidirectional Associative Memory) model proposes, analyzes and tests CBAM model `s performancess by simulating with recalls and recognitions of patterns. In learning-procedure each correlation matrix of training patterns is obtained. As each correlation matrix's some elements correspond to juxtaposition, all correlation matrices are merged into one matrix (Combination Correlation Matrix, CCM). In recall-procedure, CCM is decomposed into a number of correlation matrices by spiliting its elements into the number of elements corresponding to all training patterns. Recalled patterns are obtained by multiplying input pattern with all correlation matrices and selecting a pattern which has the smallest value of energy function. By using a CBAM model, we have some advantages. First, all pattern having less than 20% of noise can be recalled. Second, memory capacity of CBAM model, can be further increased to include English alphabets or patterns. Third, learning time of CBAM model can be reduced greatly because of operation to make CCM.

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계층적 인식 알고리즘을 이용한 개선된 패턴상호연상모델의 광학적 구현 (Optical Implementation of Improved IPA Model Using Hierarchical Recognition Algorithm)

  • 하재홍;김성용;김수중
    • 전자공학회논문지A
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    • 제31A권7호
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    • pp.55-62
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    • 1994
  • Interpattern association (IPA) model which the interconnection weight matrix(IWM) is constructed by the association between patterns is effective in similar pattern recognitions. But, if the number of reference patterns is increased, the ability of recognition is decreased. Using a hierarchical recognition algorithm which adopts the tree search strategy, we classified reference patterns into sub-groups by similarity. In IPA model, if input includes random noise we make it converge to reference pattern by means of input includes random noise we make it converge to reference pattern by means of increasing the number of pixels of prohibited state in IWM. In relation to reference patterns the pixel of prohibited state made partially prohibited state of no connected state using which is not included common and feature regions by each reference patterns.

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국내.외 철도사고유형 분석을 통해 초기 사고발생 인식.전파를 위한 오감인지 대응연구 (The recognition response research of five sences for the first accident occurrence cognizance and spread through the analysis of railroad accident type at domestic and foreign)

  • 양도철;황성근
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2007년도 춘계학술대회 논문집
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    • pp.1180-1186
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    • 2007
  • This paper contains that the current emergency response procedure through the railroad accident type at domestic and foreign, and the response program which is more systematic as a result of improving weaknesses. Because the response program at home is less sufficient than developed country's, we have made an investigation into system of classification in America, British, Germany, Japan for organizing separate emergency response code. we have researched the recognition response of five senses for minimizing the accident damage in a way of spreading the emergency response type analyzed through the accident procedure according to the feature of five senses by the first recognizer. Based on the first recognitions response of five senses, the scenario has been established according to each types and the criteria of accident has been researched through classifying the recognition of five senses response level, early response level, self-response level, outside support level.

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3차원 공간상의 수신호 인식 시스템에 대한 연구 (A Study on Hand-signal Recognition System in 37dimensional Space)

  • 장효영;김대진;김정배;변증남
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(3)
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    • pp.215-218
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    • 2002
  • Gesture recognitions needed for various applications and is now gaining in importance as one method of enabling natural and intuitive human machine communication. In this paper, we propose a real time hand-signal recognition system in 3-dimensional space performs robust, real-time tracking under varying illumination. As compared with the existing method using classical pattern matching, this system is efficient with respect to speed and also presents more systematic way of defining hand-signals and developing a hand-signal recognition system. In order to verify the proposed method, we developed a virtual driving system operated by hand-signals.

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패션정보산업 종사자의 직무 스트레스 요인에 관한 질적연구 (The Qualitative Study on the Job Stressors of Fashion Information Providers)

  • 허진희;구양숙
    • 한국의류산업학회지
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    • 제10권2호
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    • pp.209-219
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    • 2008
  • The purpose of this study was to investigate job stressors of information planning process and the relevant affairs of Fashion Information Providers, using the qualitative research method. This study was performed by interview with 14 fashion information planning providers from April to May in 2007. In the information planning process, there were five steps on fashion information providers' recognitions of stressors: information gathering, analysing, planning, presenting and evaluating. In the relevant affairs of fashion information activities, job stressors consisted of task related stressors, role related stressors, organization related stressors, personal characteristics, and outsides of organization related stressors.

반성군 문항 해결과정에 나타난 초등 수학 영재 아동들의 반응과 인식 분석 (Analysis on the Responses and Recognitions of the Gifted Students in Solving Reflection Cluster Problems)

  • 조영미
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제15권2호
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    • pp.147-158
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    • 2012
  • 이 논문에서는 국내 교육현장에서 적용 사례를 찾아보기 힘든 반성군 문항을 소재로 하여 그 개념과 구체적인 문항 사례, 적용에 따른 학생들의 반응 등을 알아보고, 더불어 반성군 문항을 해결한 후 학생들의 인식을 설문조사하였다. 이를 위해 초등학교 6학년 영재아동을 대상으로 반성군 문항 중심의 문제해결 수업을 진행하였다. 수업에 투입한 반성군 문항에 대한 학생들의 반응을 분석하였으며, 기존 수학 수업 또는 영재 수업에서의 문항에 대비하여 반성군 문항에 대한 인식 등을 살펴보았다. 이는 우리나라에 반성군 문항의 도입이나 영재 프로그램 개발에 기초자료가 될 것으로 보인다.

건설업 위험성평가 적용사업장 종사자 안전보건 인식도 조사 연구 -사업장책임자 및 관리감독자를 중심으로- (A study on the Research & Analysis of the Health and safety Managing's Understanding on the Applied Construction work site Risk Assessment - Focus on Site manager & manager -)

  • 최수환;배준태;이연수;김치경
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2012년 춘계학술대회
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    • pp.1-11
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    • 2012
  • Risk Assessment, a basis of health and safety management system, is an calamity prevention activity which regularly measure the level of a risk to passively improve potential hazard. A problem, the assessment not being improved to be applied to the construction work site where requires diversity and complexity, causes the assessment to be inefficient to bring quality results. A study on the investigates and compares the surveyed degree of recognitions of workers who works in companies executing the risk assessment By the investigation and comparison, it is expected to bring the better solution for early and efficient application for those companies which are not taking the risk assessment.

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