• 제목/요약/키워드: Recognition Change

검색결과 1,305건 처리시간 0.033초

영상 처리 기법에서 곡률을 이용한 입경 측정 알고리듬의 개발 (Development of Image Processing Algorithm Using Boundary Curvature Information in Particle Size Measurement)

  • 김유동;이상용;김상수
    • 대한기계학회논문집B
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    • 제26권10호
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    • pp.1445-1450
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    • 2002
  • In the present study, a new pattern recognition algorithm was proposed to size spray particles using the boundary curvature information. Conceptually, this algorithm has an advantage over the others because it can identify the particle size and shape simultaneously, and also can separate the overlapped particles more effectively. Curvature of a boundary was obtained from the change of the slopes of two neighboring segments at the corresponding part. The algorithm developed in this study was tested by using an artificially prepared image of a group of spherical particles which were either isolated or overlapped. Particle sizes obtained from the measured curvatures agreed well with the true values. By detecting abrupt changes of the curvature along the image boundary, the element particles could be separated out from their overlapped images successfully.

범죄관련 공포 영상 콘텐츠 시청 시 발생하는 뇌파의 ERP 변화 분석 (An Analysis on the Change in ERP caused from watching Fear of Crime Video contents)

  • 김용우;강행봉
    • 한국멀티미디어학회논문지
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    • 제20권6호
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    • pp.950-959
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    • 2017
  • Even though there are many studies on emotion recognition using EEG, there is a few research on specific emotion recognition in detail. In this paper, we construct test videos and conduct congruent-incongruent test for analysis on fear of crime. We compared the differences of event-related potential of subjects before and after watching the video using the congruent-incongruent test and analyzed the fear that subject perceived. Our results demonstrate that subjects showed lower amplitudes for unexpected stimuli in the PZ, POZ, and OZ electrodes of the occipital lobe, which process visual stimuli. These results indicate that the perception of subject is slower for unexpected objects.

천장 부착 컬러 표식을 이용한 이동로봇의 자기위치추정 (Localization of Mobile Robot Using Color Landmark mounted on Ceiling)

  • 오종규;이찬호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.91-94
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    • 2001
  • In this paper, we proposed localization method of mobile robot using color landmark mounted on ceiling. This work is composed 2 parts : landmark recognition part which finds the position of multiple landmarks in image and identifies them and absolute position estimation part which estimates the location and orientation of mobile robot in indoor environment. In landmark recognition part, mobile robot detects artificial color landmarks using simple histogram intersection method in rg color space which is insensitive to the change of illumination. Then absolute position estimation part calculates relative position of the mobile robot to the detected landmarks. For the verification of proposed algorithm, ceiling-orientated camera was installed on a mobile robot and performance of localization was examined by designed artificial color landmarks. As the result of test, mobile robot could achieve the reliable landmark detection and accurately estimate the position of mobile robot in indoor environment.

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레이저 테일러드 브랭크 용접의 실시간 품질판단 및 통계프로그램에 관한 연구 (A study on the real time quality estimation in laser tailored blank welding)

  • 박영환;이세헌;박현성
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 추계학술대회논문집A
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    • pp.791-796
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    • 2001
  • Welding using lasers can be mass-produced in high speed. In the laser welding, performing real-time evaluation of the welding quality is very important in enhancing the efficiency of welding. In this study, the plasma and molten metal which are generated during laser welding were measured using the UV sensor and IR sensor. The results of laser welding were classified into five categories such as optimal heat input, little low heat input, low heat input, focus off, and nozzle change. Also, a system was formulated which uses the measured signals with a fuzzy pattern recognition method which is used to perform real-time evaluation of the welding quality and the defects which can occur in laser welding. Weld quality prediction program was developed using previous weld results and statistical program which could show the trend of weld quality and signal was developed.

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농축산물 판매촉진사업에 대한 수출업체 의식 연구 (The survey analysis on the recognition of agro-food exporter to promote exportation in Korea)

  • 김경필;김성훈
    • 농업과학연구
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    • 제38권3호
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    • pp.559-569
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    • 2011
  • Korean government has introduced various programs to support exporters for the promotion of agro-food, including subsidizing the part of cost of transportation which is one of main supporting programs welcomed by exporters. However, the circumstance of global trade requires the change of government policy to promote exportation. The goal of this paper is to conduct the survey to analyze the recognition of agro-food exporters about the current promotion programs, and to suggest the findings to improve the Korean government program. The survey was conducted for 200 Korean agro-food exporters and 55 samples were taken for analysis. The results of analysis suggests followings: First, most of exporters still prefer the direct subsidy program, Second, however, many exporters also understand the necessity of the program to enforce the infrastructure for exportation and require that program, which will be the main promotion program in Korea.

Image Recognition by Learning Multi-Valued Logic Neural Network

  • Kim, Doo-Ywan;Chung, Hwan-Mook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제2권3호
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    • pp.215-220
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    • 2002
  • This paper proposes a method to apply the Backpropagation(BP) algorithm of MVL(Multi-Valued Logic) Neural Network to pattern recognition. It extracts the property of an object density about an original pattern necessary for pattern processing and makes the property of the object density mapped to MVL. In addition, because it team the pattern by using multiple valued logic, it can reduce time f3r pattern and space fer memory to a minimum. There is, however, a demerit that existed MVL cannot adapt the change of circumstance. Through changing input into MVL function, not direct input of an existed Multiple pattern, and making it each variable loam by neural network after calculating each variable into liter function. Error has been reduced and convergence speed has become fast.

Anti-Spoofing Method for Iris Recognition by Combining the Optical and Textural Features of Human Eye

  • Lee, Eui Chul;Son, Sung Hoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권9호
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    • pp.2424-2441
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    • 2012
  • In this paper, we propose a fake iris detection method that combines the optical and textural features of the human eye. To extract the optical features, we used dual Purkinje images that were generated on the anterior cornea and the posterior lens surfaces based on an analytic model of the human eye's optical structure. To extract the textural features, we measured the amount of change in a given iris pattern (based on wavelet decomposition) with regard to the direction of illumination. This method performs the following two procedures over previous researches. First, in order to obtain the optical and textural features simultaneously, we used five illuminators. Second, in order to improve fake iris detection performance, we used a SVM (Support Vector Machine) to combine the optical and textural features. Through combining the features, problems of single feature based previous works could be solved. Experimental results showed that the EER (Equal Error Rate) was 0.133%.

소아애성에 영향을 주는 환경에 대한 연구 (Environments of Hoarseness in Children)

  • 안철민;박상준;이건영
    • 대한후두음성언어의학회지
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    • 제8권2호
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    • pp.173-177
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    • 1997
  • The speech movements are acquired activity, not determined by instincts or by biologic inheritance either. The child listens to the sound from the surrounding persons, observes the speech movement of the people and tried to imitate them. Then the child acquires their specific phonation pattern. We guessed that the parents influences to the child are very important in the developing of the speech movements. Because the parents are first contact person to the baby. The recognition of parents about the voice changes in the child will be important too. And social environments such as kindergarden, school, friends contact with, can influence to the voice of the child. We investigated the state of the voice, parents influence and social environmental factor. In the bases of this study, we knew that the parents recognition about the voice changes of child, faulty vocal habits of child, social environmental factors influenced to the voice of child. And we thought we have to do our best for the early detection of voice changes and proper treatment.

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SEM(구조방정식모델)의 탐색적 연구를 이용한 근로경력 인정방안에 관한 연구 (A Study on the Methods for Recognition of Working-Career on Use to Heuristic of SEM)

  • 박재현;나혜숙
    • 대한안전경영과학회지
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    • 제10권1호
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    • pp.75-82
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    • 2008
  • National technical qualification does not recognised degree of working-career in labor market and an industrial field situation. National qualification is supply to nurture expert manpower and accomplish of self-development and a duty accomplishment ability improvement at a side of personal. So, This study is purposed to find that a method for recognition of working-career on the national technical qualification system According to, this study is designed to questionnaire with BSC(Balaced ScoreCard), SEM(Structure Equation Model) with the delphi method, and is analysed using the AMOS 7.0 program package. Finally, This study is suggested growing to qualification standard for an examination a degree of master craftsman only under the change of national qualification systematization as a standard to operation and control.

휴먼 인지를 위한 근적외선 영상에서의 얼굴 검출 (Face Detection in Near Infra-red for Human Recognition)

  • 이경숙;김현덕
    • 디지털콘텐츠학회 논문지
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    • 제13권2호
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    • pp.189-195
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    • 2012
  • 본 논문에서는 휴먼 인지를 위한, 근적외선 얼굴 영상에서의 얼굴 검출 방법이 제안된다. 에지의 강도와 방향에 기반한 에지 히스토그램이 근적외선 영상으로부터 얼굴을 검출하기 위해 사용되었다. 조명변화에 강인하기 때문에, 제안된 에지 히스토그램은 얼굴을 효과적으로 표현하고 구별한다. 얼굴 검출을 위한 분류기로서는 SVM(Support Vector Machine)을 사용하였으며 제안한 방법은 ULBP(Uniform Local Binary Pattern)보다 적은 피쳐 개수를 가지면서도 에러율 측면에서, ULBP의 경우보다 나은 성능을 나타내었다.