• 한국치위생학회지
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• 제9권4호
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• pp.559-568
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• 2009

Objectives : In order to manage to reformative tendency of the educational whole with change request of dental hygienics education which is diversificated and professionalized the manufacturing practice of a temporary resin jacket which is educated with from much dental hygiene is become accomplished, so far also the recognition which relates with the manufacturing practice of a temporary resin jacket of dental hygiene students there is not researched. The present research carried out the practice evaluation with the target of students of a dental hygiene department, who finished a manufacturing practice of a temporary resin jacket, analyzed and investigated the material, reported its result, and enforced a research. Methods : This research selected students of 6 dental hygiene departments located in the Daegu Gyeongbuk region, who have manufacturing experience of a temporary resin jacket, by a convenient sampling method, and then a questionnaire was executed by a self-administration method, and a total of 290 copies were statistically treated. The content of the questionnaire are composed of 2 questions on an attitude survey before and after manufacturing practice of a temporary resin jacket, 3 questions on an educator for practice of a temporary resin jacket, 7 questions on recognition of technical skills for manufacturing a temporary resin jacket, 9 questions on the practice content evaluation of manufacturing of a temporary resin jacket and recognition on manufacturing practice of a the temporary resin jacket. Results : 1. The average of recognition on technical skills for manufacturing a temporary resin jacket of a dental hygienist was 3.82 points, the average of evaluation on practice content of manufacturing a temporary resin jacket being 3.75 points, and the average of recognition on the practice of manufacturing a temporary resin jacket was 3.71 points. 2. Currently, as the educator for the practice of manufacturing a temporary resin jacket, dental hygienists were 188 persons(64.8%) and dental technicians was 102 persons(35.2%), and as educators they want in the future, dental hygienists were 97 persons(33.3%) and dental technicians was 193 persons(66.7%). Persons hoping reeducation for manufacturing a temporary resin jacket were 219 persons(85.9%). 3. There was a significant difference in consciousness of students before and after practice of manufacturing a temporary resin jacket(p<.001). 4. There was a significant difference in practice evaluation and practice recognition according to the educational subject(p<.001). 5. There was a significant reverse correlation in the educational subject, practice evaluation and practice recognition(p<0.01). Conclusions : The practice for manufacturing a temporary resin jacket in education of dental hygiene is necessary to improve job performance ability in more various and specialized dental treatment and to solve desire for improvement of professional technical skill ability of students, and accordingly. About study process of the future students observation investigation or student objective interview investigation etc. seeks a problem in the become research lead, the succeeding research which gropes the plan which is the possibility of solving the problem which discovered is thought will be necessary.

• 수산해양교육연구
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• 제21권4호
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• pp.508-522
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• 2009

A teacher evaluation system is a hot issue of educational policy these days. Many teachers have opposed teacher evaluation system, but government and many parents have agreed teacher evaluation system. And some people agree teacher evaluation system, but some people disagree teacher evaluation system. The approvers of teacher evaluation system insist that teacher evaluation system can provide the quality of instruction, satisfaction of schooling, and nation's competition capacity. But opponents of teacher evaluation system insist that teacher evaluation system can provide dissatisfaction of teachers' job, excessive competition among teachers, and the failure of educational policy. So, comprehensive studies about teacher evaluation system are needed. The purpose of this study was to investigate that elementary and secondary teachers' recognition about teacher evaluation system. The tool of this study was used questionnaire which was made by researcher of this study. This study indicates as follows. Many teachers opposed teacher evaluation system, because of deficit of validity and reliability of teacher evaluation system. Also, many teachers indicated instruction ability as the most important evaluation standard of teacher evaluation system. And many teachers predicted the dissatisfaction of teachers' job and excessive competition among teachers as a result of teacher evaluation system.

• 대한음성학회지:말소리
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• 제67호
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• pp.103-120
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• 2008

Basic components for multimodal interface, such as speech recognition, speech synthesis, gesture recognition, and multimodal fusion, have their own technological limitations. For example, the accuracy of speech recognition decreases for large vocabulary and in noisy environments. In spite of those technological limitations, there are lots of applications in which speech-oriented multimodal user interfaces are very helpful to users. However, in order to expand application areas for speech-oriented multimodal interfaces, we have to develop the interfaces focused on usability. In this paper, we introduce usability and user-centered design methodology in general. There has been much work for evaluating spoken dialogue systems. We give a summary for PARADISE (PARAdigm for Dialogue System Evaluation) and PROMISE (PROcedure for Multimodal Interactive System Evaluation) that are the generalized evaluation frameworks for voice and multimodal user interfaces. Then, we present usability components for speech-oriented multimodal user interfaces and usability testing guidelines that can be used in a user-centered multimodal interface design process.

• Structural Monitoring and Maintenance
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• 제6권3호
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• pp.173-190
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• 2019

Steel-confined reinforced concrete (SCRC) columns feature highly complex and invisible mechanisms that make damage evaluation and pattern recognition difficult. In the present article, the prevailing acoustic emission (AE) technique was applied to monitor and evaluate the damage process of steel-confined RC columns in a quasi-static test. AE energy-based indicators, such as index of damage and relax ratio, were proposed to trace the damage progress and quantitatively evaluate the damage state. The fuzzy C-means algorithm successfully discriminated the AE data of different patterns, validity analysis guaranteed cluster accuracy, and principal component analysis simplified the datasets. A detailed statistical investigation on typical AE features was conducted to relate the clustered AE signals to micro mechanisms and the observed damage patterns, and differences between steel-confined and unconfined RC columns were compared and illustrated.

• 한국의류학회지
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• 제28권3_4호
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• pp.483-490
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• 2004

By using the formerly established SERVQUAL Model, measurement methods and determinant variables in the other papers for the Service Quality, this study first focuses to find out the difference consumers' evaluation between before-experience and after-experience of the educational service, and second, to examine the difference consumers' evaluation between before-experience and after-experience of the educational service according to pre-recognition degree for the subjected educational service quality. The results are derived as follows. 1. As a consequence of the simulation, the consumers distinctly tend to recognize importance of human concern and visual aspect after experience of educational service. 2. Between the group with more pre-recognition degree and less pre-recognition degree for the subjected educational service quality, have no difference.

• 한국컴퓨터정보학회논문지
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• 제23권5호
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• pp.1-7
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• 2018

Reference string recognition is to extract individual reference strings from a reference section of an academic article, which consists of a sequence of reference lines. This task has been attacked by heuristic-based, clustering-based, classification-based approaches, exploiting lexical and layout characteristics of reference lines. Most classification-based methods have used sequence labeling to assign labels to either a sequence of tokens within reference lines, or a sequence of reference lines. Unlike the previous token-level sequence labeling approach, this study attempts to assign different labels to the beginning, intermediate and terminating tokens of a reference string. After that, post-processing is applied to identify reference strings by predicting their beginning and/or terminating tokens. Experimental evaluation using English and German reference string recognition datasets shows that the proposed method obtains above 94% in the macro-averaged F1.

• 디지털산업정보학회논문지
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• 제16권4호
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• pp.19-28
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• 2020

Vehicle license plate recognition system is not generalized in Malaysia due to the loose character layout rule and the varying number of characters as well as the mixed capital English characters and italic English words. Because the italic English word is hard to segmentation, a separate method is required to recognize in Malaysian license plate. In this paper, we propose a mixed character level and word level English license plate recognition algorithm using deep learning neural networks. The difference of Gaussian method is used to segment character and word by generating a black and white image with emphasized character strokes and separated touching characters. The proposed deep learning neural networks are implemented on the LPR system at the gate of a building in Kuala-Lumpur for the collection of database and the evaluation of algorithm performance. The evaluation results show that the proposed Malaysian English LPR can be used in commercial market with 98.01% accuracy.

• 한국인터넷방송통신학회논문지
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• 제10권5호
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• pp.179-185
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• 2010

본 논문에서는 특징 되먹임 알고리즘의 성능을 평가하기위해 특징되먹임 알고리즘의 성능에 가장 큰 영향을 주는 특징마스크를 검증한다. 특징 되먹임 기반 패턴 인식 방법은 PCALDA로 추출된 특징을 원 영역으로 역사상하여 인식에 중요한 부분을 추출하는 기법이다. 추출된 특징은 특징마스크의 형태로 원 영역으로 역사상 되므로, 특징마스크의 특징성능 검증에 대한 연구가 필수적이다. 본 논문에서는 Yale data 기반의 얼굴 인식에서 특징마스크를 검출하여 특징마스크에 따른 인식률 변화를 고찰하고 검출된 특징마스크의 성능을 검증한다.

• 대한음성학회지:말소리
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• 제59호
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• pp.53-68
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• 2006

We report the evaluation results of the Korean speech recognition platform called ECHOS. The platform has an object-oriented and reusable architecture so that researchers can easily evaluate their own algorithms. The platform has all intrinsic modules to build a large vocabulary speech recognizer: Noise reduction, end-point detection, feature extraction, hidden Markov model (HMM)-based acoustic modeling, cross-word modeling, n-gram language modeling, n-best search, word graph generation, and Korean-specific language processing. The platform supports both lexical search trees and finite-state networks. It performs word-dependent n-best search with bigram in the forward search stage, and rescores the lattice with trigram in the backward stage. In an 8000-word continuous speech recognition task, the platform with a lexical tree increases 40% of word errors but decreases 50% of recognition time compared to the HTK platform with flat lexicon. ECHOS reduces 40% of recognition errors through incorporation of cross-word modeling. With the number of Gaussian mixtures increasing to 16, it yields word accuracy comparable to the previous lexical tree-based platform, Julius.

• 한국통신학회논문지
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• 제37권7C호
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• pp.538-543
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• 2012

주행 중 차량내의 음성인터페이스 에서 음성인식기의 성능은 가장 중요한 부분이다. 본 논문은 차량내 음성인식기의 성능 평가를 자동화하기 위한 플랫폼의 개발에 대한 것이다. 개발된 플랫폼은 주 프로그램, 중계 프로그램 데이터베이스 관리, 통계산출 모듈로 구성된다. 성능 평가에 있어 실제 차량의 주행 조건을 고려한 시뮬레이션 환경이 구축되었고, 미리 녹음된 주행 노이즈와 발화자의 목소리를 마이크를 통해 입력하여 실험하였다. 실험 결과 제안하는 플랫폼에서 얻어진 음성인식 결과의 유효성이 입증되었다. 제안한 플랫폼으로 사용자는 음성인식의 자동화와 인식결과의 효율적인 관리 및 통계산출을 함으로서 차량 음성인식기의 평가를 효과적으로 진행할 수 있다.