• Title/Summary/Keyword: Recognize-into

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The Detection of the Lane Curve using the Lane Model on the Image Coordinate Systems (이미지 좌표계상의 차선 모델을 이용한 차선 휨 검출)

  • 박종웅;이준웅;장경영;정지화;고광철
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.1
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    • pp.193-200
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    • 2003
  • This paper proposes a novel algorithm to recognize the curve of a structured road. The proposed algorithm uses an LCF (Lane Curve Function) obtained by the transformation of a parabolic function defined on world coordinate into image coordinate. Unlike other existing methods, the algorithm needs no transformation between world coordinate and image coordinate owing to the LCF. In order to search for an LCF describing the lane best, the differential comparison between the slope of an assumed LCF and the phase angle of edge pixels in the LROI (Lane Region Of Interest) constructed by the LCF is implemented. As finding the true LCF, the lane curve is determined. The proposed method is proved to be efficient through various kinds of images, providing the reliable curve direction and the valid curvature compared to the real road.

Recognition of Individual Cattle by His and /or Her Voice

  • Yoshio, Ikeda;Yohei, Ishii
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1998.06b
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    • pp.270-275
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    • 1998
  • It was assumed that the voice of cattle is generated with the virtual white noise through the digital filter called the linear prediction filter, and filter parameters (prediction coefficients) were estimated by the maximum entropy method (MEM) , using the sound signal of the animal . The feature planes were defined by the pairs of two parameters selected appropriately from these parameters. The cattle voices were divided into three levels, that is the high, medium and low levels according to their total power equivalent to the variances of the sound signal . It was found that the straight lines could be used for recognizing tow cow and one calf for high level voices. For high and medium level voices, however, it was difficult or impossible to recognize individual cattle on the parameters planes.

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On Detecting the Transition Regions of Phonemes by Using the Asymmetrical Rate of Speech Waveforms (음성파형의 비대칭율을 이용한 음소의 전이구간 검출)

  • Bae, Myung-Jin;Lee, Eul-jae;Ann, Sou-Guil
    • The Journal of the Acoustical Society of Korea
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    • v.9 no.4
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    • pp.55-65
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    • 1990
  • To recognize continued speech, it is necessary to segment the connected acoustic signal into phonetic units, In this paper, as a parameter to detect transition regions in continued speech, we propose a new asymmetrical rate. The suggested rate represents a change rate of magnitude of speech signals. As comparing this rate with other rate in adjacent frame, the state of the frame can be distinguished between steady state and transient state.

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On Detcdting the Steady State Segments of Speech Waveform by using the Normalized AMDF (규준화된 AMDF 이용한 음성파형의안정상태 구간검출)

  • Bae, Myung-Jin;Kim, Ul-Je;Ahn, Sou-Guil
    • The Journal of the Acoustical Society of Korea
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    • v.10 no.3
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    • pp.44-50
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    • 1991
  • To recognize continued speech, it is necessary to segment the connected acoustic signal into phonetic units. In this paper, as a parameter to detect the transition regions in continued speech, we propose a new noramlized AMDF. The suggested parameter represents a change rate of magnitude of speech signals. As comparing this value with the adjactent frames value the state of the frames can be distinguished as a level between the steady state and transient state.

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Recognizing Chord Symbols in Printed Korean Musical Images Using Lexicon-Driven Approach

  • Dinh, Minh;Yang, Hyung-Jeong;Lee, Guee-Sang;Kim, Soo-Hyung;Na, In-Seop
    • Proceedings of the Korea Contents Association Conference
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    • 2015.05a
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    • pp.53-54
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    • 2015
  • Optical music recognition (OMR) systems have been developed in recent years. However, chord symbols that play a role in a music sheet have been still disregarded. Therefore, we aimed to develop a proper approach to recognize these chord symbols. First, we divide the image of chord symbol into small segments in horizontal by a method based on vertical projection. Then, the optimal combination of these segments is found by using a lexicon-driven word scoring technique and a nearest neighbor classifier. The word that corresponds to the optimal combination is the result of recognition. The experiment gives an impressive result with accuracy 97.32%.

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A Study on the Structural Relationship among Service Quality, Service Value, Reputation, Emotional Response, Customer Satisfaction and Repurchase Intention : Focused on The Moderating Effect of Service Relationship in Healthcare Services (서비스품질, 서비스가치, 명성, 감정반응, 고객만족과 재이용의도의 구조적 관계 : 의료서비스에서 서비스관계의 조절효과를 중심으로)

  • Kim, Sung-Soo
    • Korean Management Science Review
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    • v.29 no.2
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    • pp.105-125
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    • 2012
  • As medical service industry is transformed into the market centered on consumers, medical service quality patients recognize is emphasized as the powerful means to ensure competitive advantage among hospitals in the fierce medical markets. Many researches have been done on the definition of medical service quality, developing a scale to measure it, patient satisfaction, hospital repurchase and oral transmission intention, but integrated studies have not been done sufficiently on the patient' cognitive emotional aspects. For these research purposes, based on service relation, service quality, physical surroundings, human services, corporate reputation, service value, emotional response, customer satisfaction and repurchase intention, this paper suggests a theoretical modeling composed of hypotheses on the relations of each theoretical variable. In addition, the moderating effect of service relationships is investigated based on the structural equation model.

A Human Action Recognition Scheme in Temporal Spatial Data for Intelligent Web Browser

  • Cho, Kyung-Eun
    • Journal of Korea Multimedia Society
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    • v.8 no.6
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    • pp.844-855
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    • 2005
  • This paper proposes a human action recognition scheme for Intelligent Web Browser. Based on the principle that a human action can be defined as a combination of multiple articulation movements, the inference of stochastic grammars is applied to recognize each action. Human actions in 3 dimensional (3D) world coordinate are measured, quantized and made into two sets of 4-chain-code for xy and zy projection planes, consequently they are appropriate for applying the stochastic grammar inference method. We confirm this method by experiments, that various physical actions can be classified correctly against a set of real world 3D temporal data. The result revealed a comparatively successful achievement of $93.8\%$ recognition rate through the experiments of 8 movements of human head and $84.9\%$ recognition rate of 60 movements of human upper body. We expect that this scheme can be used for human-machine interaction commands in a web browser.

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A Short Course Development and Analysis to Recognize Importance of Software for Youth using Arduino and App Inventor

  • Shim, Jooeun;Ko, Jooyoung;Shim, Jaechang
    • Journal of Multimedia Information System
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    • v.2 no.1
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    • pp.187-192
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    • 2015
  • The aim of this study was to develop and analyze a short course educating App Inventor and Arduino that showed the importance of software for youth. The course consists of a total of 10 missions for a 4 hour course divided into 2 parts, each 2 hours respectively. We conducted a basic course of Arduino for hardware and software, Processing for server programming, and App Inventor for programming for smartphones. The final mission was to send a signal to a server with a smartphone and to control light connected to a relay which passes Arduino connected with a server and serial communication. Participants completed 95% of missions, and we found the course had an educational effect for improving creativity and realization of software importance.

A Syntactic and Semantic Approach to Fingerprints Classification (구문론과 의미론적 방법을 이용한 지문분류)

  • Choi, Young-Sik;Sin, Tae-Min;Lim, In-Sik;Park, Kyu-Tae
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1157-1159
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    • 1987
  • A syntactic and semantic approach is used to make type classification based on feature points(whorl, delta, core) and the shape of flow line around feature points. The image is divided into 30 by 30 subregions which are represented in the average direction and 4-tuple direction component. Next the relaxation process with singularity detection and convergency checking is performed. A set of semantic languages is used to describe the major flow line around the extracted feature points. LR(1) parser and feature transfer function are used to recognize the coded flow patterns. The 72 fingerprint impressions is used to test the proposed approach and the rate of the classification is about 93 percentages.

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A Survey Study on the Space in Technical High-School - Focused on the Department of Architecture - (공업고등학교(工業高等學校) 실습실(實習室)의 공간(空間) 구성(構成)에 관한 조사연구(調査硏究) - 건축(建築)과 실습실(實習室)을 중심(中心)으로 -)

  • NamGung, Eui;Kim, Sang-Kyeom
    • Journal of the Korean Institute of Educational Facilities
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    • v.7 no.2
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    • pp.5-13
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    • 2000
  • In order to make good educational circumstance of the Technical High-school, it is important that we must aware of the characteristics of technical high-school and take all considerations into the planning. This study is to plan the architectural space and path of flow in practice rooms through questionnare survey. The result are as follow. A majority of respondents recognize that the existing facility and space condition are not appropriate, because the past investment has overemphasized on the quantitative aspect. It is time to need the change of its directions toward the quantitative investment in future. It is also necessary to plan the space and the path of flow of the practice rooms in consideration of the characteristics of school.

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