• 제목/요약/키워드: Recognition Comparison

검색결과 858건 처리시간 0.029초

전기저항의 국제비교 및 계측기술에 관한 국제적 상호인정 추세 (International Comparison of high resistance and Mutual Recognition between National Metrology Institutes)

  • 유광민;류제천;강전홍;김한준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.606-608
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    • 1999
  • Mutual Recognition Agreement(MRA) between national metrology institutes is started on October 1999 and International Key Comparison is essentially to be used as technical basis for the agreement. High resistance is one of the Key Comparison and high resistance measurement system is established in KRISS for the purpose of the Key Comparison. Total combined uncertainty of the system is about 4ppm in $10M{\Omega}$ and 8ppm in $1G{\Omega}$. With the system, the difference of comparison results for $10M{\Omega}$ and $1G{\Omega}$ among KRISS, VNIIM in Russia and NIM in China is agreed about 6ppm within total combined uncertainty of three institutes.

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제동디스크라이닝의 비교시험 연구 (A Study on Comparison Test for Brake Disc Lining)

  • 정종덕;권성태;한석윤;박기준;천홍정
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.43-48
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    • 2005
  • In order to facilitate technical exchange among nations and/or institutes through the establishment of mutual recognition and the reliability guarantee of testing results by testing standards standardization, the interlaboratory comparison tests on brake discs and linings between KRRI and CARS were conducted. So far, two ways of comparison tests were performed for a better understanding of mutual recognition and standardization in railroad brake linings between Korea and China. In this paper, the first and second comparison testing results have been summarized, and the suggestions for the future research work are also presented to encourage extensive research on comparison study of railroad brake discs and linings between KRRI and CARS. Eventually, the final goal of the current research will be the establishment of standardization of railroad testing standards.

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결혼상태별 인공임신중절문제에 대한 인지도 비교 (Comparison of Perceptions on Induced Abortion by Marital Status)

  • 문인옥;오영아
    • 보건교육건강증진학회지
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    • 제26권3호
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    • pp.111-124
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    • 2009
  • Objectives: The purpose of this study was to provide basic data for suggesting the realistic plan for the prevention of induced abortion. We performed an analysis of a recognition and actual conditions of the induced abortion according to the marital status. Methods: Participants were 681 persons of 20 years of age or older who lived in 7 cities and provinces. The data was collected with a structured questionnaire. For data analysis, Chi-square test, t-test and stepwise discriminant analysis were utilized. Results: The results were as follows. When degrees of recognition were analyzed according to the marital status, married were found to have higher levels of recognition of induced abortion than unmarried. From comparison of the recognition, there were significant differences between married and unmarried in terms of the recognition of the law, premarital sex, sex consciousness, intention of induced abortion, knowledge of contraception. Conclusion: The above results showed that marital status was strongly related to the recognition of induced abortion. And measures for preventing the induced abortion, specially about 20 percents of risky unmarried, should be focused.

클러스터링 방식과 세선화 기법을 이용한 숫자 인식에 관한 연구 (A Study on the Number Recognition of using Clustering and Thinning Method)

  • 윤진영;이영섭;임재홍
    • 한국정보통신학회논문지
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    • 제8권4호
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    • pp.838-845
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    • 2004
  • 실제 주민등록증을 스캐너로 수집한 후 해당 영상에 대하여 주민등록번호를 인식하였다. 인식을 위한 전처리 과정은 처리 속도를 감안하여 대상부분을 포함 주민등록증의 약 1/8 크기만큼 분할한 후 잡음에 해당하는 홀로그램을 제거하였다. 숫자 인식 방법으로는 원형비교법과 학습법을 병행하였으며 대상 숫자의 단순한 특징 추출을 위해 클러스터링 방식을 사용하였고, 외부 환경에 따라 오인식되는 숫자에 대해 세선화 기법을 병행하여 유사한 숫자간의 유일한 특징으로 구분하였다. 인식에 대한 실험 결과, 숫자 인식에 관한 타 논문의 인식률과 비교하여 양호한 인식률이 도출되었다.

초음파 비파괴 검사기법에 의한 용접결함 분류성능 비교 (Performance Comparison of Welding Flaws Classification using Ultrasonic Nondestructive Inspection Technique)

  • 김재열;유신;김창현;송경석;양동조;김유홍
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2004년도 추계학술대회 논문집
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    • pp.280-285
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    • 2004
  • In this study, we made a comparative study of backpropagation neural network and probabilistic neural network and bayesian classifier and perceptron as shape recognition algorithm of welding flaws. For this purpose, variables are applied the same to four algorithms. Here, feature variable is composed of time domain signal itself and frequency domain signal itself. Through this process, we comfirmed advantages/disadvantages of four algorithms and identified application methods of four algorithms.

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차종, 번호판 위치 및 자동차 번호판 인식을 위한 영상처리 알고리즘개발 (Development of an image processing algorithm for the recognition of car types and number plates)

  • 김희식;이평원;김영재
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1718-1721
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    • 1997
  • An image processing algorithm is developed in order to recognize the type of cars, the position of a number plate and the characters on the plate. to recognize the type of cars, comparison of two images is used. One has a car image, the other is just a background image without car. After that recognition, a vertical line filter is used to find the location of the plate. Finally the simularity mehod is used to recognize the numbers on plates.

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신경회로망과 Classifier를 이용한 부분방전패턴의 인식 (Recognition of Partial Discharge Patterns using Classifiers and the Neural Network)

  • 이준호;이진우
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 1999년도 학술대회논문집-국제 전기방전 및 플라즈마 심포지엄 Proceedings of 1999 KIIEE Annual Conference-International Symposium of Electrical Discharge and Plasma
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    • pp.132-135
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    • 1999
  • In this work, two approaches were proposed for the recognition of partial discharge patterns. The first approach was neural network with backpropagation algorithm, and the second approach was angle calculation between two operator vectors. PD signal were detected using three electrode systems; IEC(b), needle-plane and CIGRE method II electrode system. Both of neural network and angle comparison method showed good recognition performance for the patte군 similar to the trained patterns. And the number of operators to be used had a great influence on the recognition performance to the untrained patterns.

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화자인식에 효과적인 특징벡터에 관한 비교연구 (A study on Effective Feature Parameters Comparison for Speaker Recognition)

  • 박태선;김상진;문광;한민수
    • 대한음성학회:학술대회논문집
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    • 대한음성학회 2003년도 5월 학술대회지
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    • pp.145-148
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    • 2003
  • In this paper, we carried out comparative study about various feature parameters for the effective speaker recognition such as LPC, LPCC, MFCC, Log Area Ratio, Reflection Coefficients, Inverse Sine, and Delta Parameter. We also adopted cepstral liftering and cepstral mean subtraction methods to check their usefulness. Our recognition system is HMM based one with 4 connected-Korean-digit speech database. Various experimental results will help to select the most effective parameter for speaker recognition.

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남성과 여성의 음성 특징 비교 및 성별 음성인식에 의한 인식 성능의 향상 (Comparison of Male/Female Speech Features and Improvement of Recognition Performance by Gender-Specific Speech Recognition)

  • 이창영
    • 한국전자통신학회논문지
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    • 제5권6호
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    • pp.568-574
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    • 2010
  • 음성인식에서의 인식률 향상을 위한 노력의 일환으로서, 본 논문에서는 성별을 구분하지 않는 일반적 화자독립 음성인식과 성별에 따른 음성인식의 성능을 비교하는 연구를 수행하였다. 실험을 위해 남녀 각 20명의 화자로 하여금 각각 300단어를 발성하게 하고, 그 음성 데이터를 여성/남성/혼성A/혼성B의 네 그룹으로 나누었다. 우선, 성별 음성인식에 대한 근거의 타당성을 파악하기 위하여 음성 신호의 주파수 분석 및 MFCC 특징벡터들의 성별 차이를 조사하였다. 그 결과, 성별 음성인식의 동기를 뒷받침할 정도의 두드러진 성별 차이가 확인되었다. 음성인식을 수행한 결과, 성을 구분하지 않는 일반적인 화자독립의 경우에 비해 성별 음성인식에서의 오류율이 절반 이하로 떨어지는 것으로 나타났다. 이로부터, 성 인식과 성별 음성인식을 계층적으로 수행함으로써 화자독립의 인식률을 높일 수 있을 것으로 사료된다.

회전기계 고장 진단에 적용한 인공 신경회로망과 통계적 패턴 인식 기법의 비교 연구 (A Comparison of Artificial Neural Networks and Statistical Pattern Recognition Methods for Rotation Machine Condition Classification)

  • 김창구;박광호;기창두
    • 한국정밀공학회지
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    • 제16권12호
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    • pp.119-125
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    • 1999
  • This paper gives an overview of the various approaches to designing statistical pattern recognition scheme based on Bayes discrimination rule and the artificial neural networks for rotating machine condition classification. Concerning to Bayes discrimination rule, this paper contains the linear discrimination rule applied to classification into several multivariate normal distributions with common covariance matrices, the quadratic discrimination rule under different covariance matrices. Also we discribes k-nearest neighbor method to directly estimate a posterior probability of each class. Five features are extracted in time domain vibration signals. Employing these five features, statistical pattern classifier and neural networks have been established to detect defects on rotating machine. Four different cases of rotation machine were observed. The effects of k number and neural networks structures on monitoring performance have also been investigated. For the comparison of diagnosis performance of these two method, their recognition success rates are calculated form the test data. The result of experiment which classifies the rotating machine conditions using each method presents that the neural networks shows the highest recognition rate.

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