• Title/Summary/Keyword: Type Recognition

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Analyzing the Type of Recognition for College Students' Department Jumpers

  • Cha, Su-Joung
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.7
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    • pp.125-134
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    • 2020
  • In this study, Q methodology was applied to investigate the subjective evaluation of department jumpers and characteristics of each type of recognition for college students. As a result of analyzing, they were classified into three types. Type 1 was recognized that the department jumper plays a role of giving a sense of belonging to the department and promoting the department. In addition, it was analyzed that wearing a department jumper would be cautious, but the activities were comfortable and people around me gave good evaluations and thought it had the effect of enhancing my confidence. In the case of type 2, the department jumper was satisfied because it was an easy-to-work and non-fashionable design, and was always worn when going to university. Type 3 was a type that gives a sense of belonging when wearing the department jumper, and that it was good for the department jumper to follow the fashion. It is thought that a department jumper with a good fit should be developed by reflecting the physical characteristics, showing the image or symbolism, so that the department jumper of college students can function as a uniform.

Robust Speech Recognition in the Car Interior Environment having Car Noise and Audio Output (자동차 잡음 및 오디오 출력신호가 존재하는 자동차 실내 환경에서의 강인한 음성인식)

  • Park, Chul-Ho;Bae, Jae-Chul;Bae, Keun-Sung
    • MALSORI
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    • no.62
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    • pp.85-96
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    • 2007
  • In this paper, we carried out recognition experiments for noisy speech having various levels of car noise and output of an audio system using the speech interface. The speech interface consists of three parts: pre-processing, acoustic echo canceller, post-processing. First, a high pass filter is employed as a pre-processing part to remove some engine noises. Then, an echo canceller implemented by using an FIR-type filter with an NLMS adaptive algorithm is used to remove the music or speech coming from the audio system in a car. As a last part, the MMSE-STSA based speech enhancement method is applied to the out of the echo canceller to remove the residual noise further. For recognition experiments, we generated test signals by adding music to the car noisy speech from Aurora 2 database. The HTK-based continuous HMM system is constructed for a recognition system. Experimental results show that the proposed speech interface is very promising for robust speech recognition in a noisy car environment.

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A Study on the Recognition and Satisfaction of Lower Body Shape of Male College Students (남자 대학생들의 하반신 형태에 대한 인식도와 만족도에 관한 연구)

  • Lee, Young-Ju
    • Korean Journal of Human Ecology
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    • v.11 no.1
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    • pp.59-67
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    • 2002
  • The purpose of this study was to investigate the recognition and satisfaction of the lower body shapes of male college students. The subjects in this study were 178 male college students. The results were as follows: 1. The degree of recognition and satisfaction of girth items in lower part of the body scored average. Subjects tended to be dissatisfied with their height. 2. The degree of satisfaction of waist girth and weight was influenced by the real body size than the degree of recognition. And abdomen girth, hip girth, ankle girth, leg length, hight, crotch length were affected by the degree of recognition than the real body size. 3. Subjects were more satisfied with standard lower body type than with lean and obese ones.

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A CHARACTER RECOGNITION SYSTEM BASED ON SYNTACTIC APPROACH (인쇄체 영문의 구문론적 인식)

  • Park, Dong-Choon;Park, Sung-Han
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1598-1601
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    • 1987
  • This paper proposes a new set of topological features (primitives) for use with a syntactic recognizer for high-accuracy recognition of printed alphanumeric characters. The recognition is accomplished on nine character groups, where each group has different combinations of four feature points. A skeleton enhancement eliminating isolated points and smoothing irregular points is developed. The tree automata processed in parallel enables the realization of high-recognition speeds and font-type independent recognition. The proposed character recognition system is tested for alphanumeric character fonts of dot matrix printer and plotter using IBM-PC/XT.

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New Rectangle Feature Type Selection for Real-time Facial Expression Recognition (실시간 얼굴 표정 인식을 위한 새로운 사각 특징 형태 선택기법)

  • Kim Do Hyoung;An Kwang Ho;Chung Myung Jin;Jung Sung Uk
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.2
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    • pp.130-137
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    • 2006
  • In this paper, we propose a method of selecting new types of rectangle features that are suitable for facial expression recognition. The basic concept in this paper is similar to Viola's approach, which is used for face detection. Instead of previous Haar-like features we choose rectangle features for facial expression recognition among all possible rectangle types in a 3${\times}$3 matrix form using the AdaBoost algorithm. The facial expression recognition system constituted with the proposed rectangle features is also compared to that with previous rectangle features with regard to its capacity. The simulation and experimental results show that the proposed approach has better performance in facial expression recognition.

Vehicle Face Recognition Algorithm Based on Weighted Nonnegative Matrix Factorization with Double Regularization Terms

  • Shi, Chunhe;Wu, Chengdong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.5
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    • pp.2171-2185
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    • 2020
  • In order to judge that whether the vehicles in different images which are captured by surveillance cameras represent the same vehicle or not, we proposed a novel vehicle face recognition algorithm based on improved Nonnegative Matrix Factorization (NMF), different from traditional vehicle recognition algorithms, there are fewer effective features in vehicle face image than in whole vehicle image in general, which brings certain difficulty to recognition. The innovations mainly include the following two aspects: 1) we proposed a novel idea that the vehicle type can be determined by a few key regions of the vehicle face such as logo, grille and so on; 2) Through adding weight, sparseness and classification property constraints to the NMF model, we can acquire the effective feature bases that represent the key regions of vehicle face image. Experimental results show that the proposed algorithm not only achieve a high correct recognition rate, but also has a strong robustness to some non-cooperative factors such as illumination variation.

Performance Improvement of Speaker Recognition System Using Genetic Algorithm (유전자 알고리즘을 이용한 화자인식 시스템 성능 향상)

  • 문인섭;김종교
    • The Journal of the Acoustical Society of Korea
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    • v.19 no.8
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    • pp.63-67
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    • 2000
  • This paper deals with text-prompt speaker recognition based on dynamic time warping (DTW). The Genetic Algorithm was applied to the creation of reference patterns for suitable reflection of the speaker characteristics, one of the most important determinants in the fields of speaker recognition. In order to overcome the weakness of text-dependent and text-independent speaker recognition, the text-prompt type was suggested. Performed speaker identification and verification in close and open set respectively, hence the Genetic algorithm-based reference patterns had been proven to have better performance in both recognition rate and speed than that of conventional reference patterns.

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Improvement of Bit Recognition Rate for Color QR Codes By Multiplexing Color and Pattern Information (색 및 패턴 정보 다중화를 이용한 칼라 QR코드의 비트 인식률 개선)

  • Kim, Jin-Soo
    • Journal of Korea Multimedia Society
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    • v.24 no.8
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    • pp.1012-1019
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    • 2021
  • Currently, since the black-white QR (Quick Response) codes have limited storage capacity, color QR codes have been actively being studied. By multiplexing 3 colors, the color QR codes can allow the code capacity to be increased by three times, however, the color multiplexing brings about the possibility of crosstalk and noises in the acquisition process of the final image, incurring the decrease of bit-recognition rate. In order to improve the bit recognition rate, while keeping the storage capacity high, this paper proposes a new type of color QR code which uses the pattern information as well as the color information, and then analyzes how to increase the bit recognition rate. For this aim, the paper presents an efficient system which extracts embedded information from color QR code and then, through practical experiments, it is shown that the proposed color QR codes improves the bit recognition rate and are useful for commercial applications, compared to the conventional color codes.

Automatic fingerprint recognition using directional information in wavelet transform domain (웨이블렛 변환 영역에서의 방향 정보를 이용한 지문인식 알고리즘)

  • 이우규;정재호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.10
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    • pp.2317-2328
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    • 1997
  • The objective of this paper is to develop an algorithm for a real-time automatic fingerprint recognition system. The algorithm employs the wavelet transform(WT) and the dominat local orientation that derived from the gradient Gaussian(GoG) and coherence in determining the directions of ridges in fingerprint images. By using the WT, the algorithm does not require conventional preprocessing procedures such as smothing, binarization, thining and restoration. For recognition, two fingerprint images are compared in three different ST domains;one that represents the original image compressed to quarter(LL), another that shows vertical directional characteristic(LH), and third as the block that contains horizontal direction(HL) in WT domain. Each block has dominat local orientation that derived from the GoG and coherence. The proposed algorithm is imprlemented on a SunSparc-2 workstation under X-window environment. Our simulation results, in real-time have shown that while the rate of Type II error-Incorrect recognition of two identical fingerprints as the identical fingerprints-is held at 0%, the rate of Type I error-Incorrect recognitionof two identical fingerprints as the different ones-is 2.5%.

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A Study on Health Concepts in Korean Elderly - Q methodological approach - (한국노인의 건강개념에 관한 연구 - Q 방법론적 접근 -)

  • Shim, Hyung-Wha
    • The Journal of Korean Academic Society of Nursing Education
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    • v.11 no.2
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    • pp.142-150
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    • 2005
  • Purpose: This paper is a basic study aiming the establishment of Health theory according to korean culture. Especially planned to reveal the types of recognition on concepts of health in korean elderly. Methods: This study is using the Q-method, to collect rightly the concepts of objects in health. Results: This analysis shows us the 4 independent types of recognition about concepts of health in korean elderly as follows. Type Ⅰ: traditional & accommodational type, They positively agree to the concepts of health immanent in Shamanism, Buddhism, Confucianism, Taoism and folk customs. Type Ⅱ: modern & depedent type, They not only interpret concepts of health scientifically and modernly, but also positively accept the concepts of health in oriental medicine. Type Ⅲ: western medical & self-leading type, They interpret concepts of health scientifically and western-medically. Type Ⅳ: naturalistic & self-reliance type. They consider positively searching for well-being as health rather than simply situation devoid of diseases. Conclusions: All 4 types we can see that the fundamental concepts of health in korean elderly are complicated not only with mere western-medical concept of health, but also with concepts of health in oriental medicine, Confucianism, Buddhism, Taoism, Shamanism which represent the oriental view of world.

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