• Journal of Korean society of Dental Hygiene
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• v.9 no.4
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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.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.4
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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.

• MALSORI
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• no.67
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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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• v.6 no.3
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.3_4
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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.

• Journal of the Korea Society of Computer and Information
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• v.23 no.5
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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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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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.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.5
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• pp.179-185
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• 2010

In this paper, we present a performance evaluation for face recognition algorithm using feature feedback according to the Feature mask. In the face recognition method using feature feedback, important region is extracted from original data set by using the reverse mapping from the extracted features to the original space. In this paper, we evaluate the performance of feature feedback according to shape of Feature Mask for Yale data. Comparing the result using Important part and unimportant part, we show the validity and applicability of the pattern recognition method based on feature feedback.

• MALSORI
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• no.59
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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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.7C
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• pp.538-543
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• 2012

The performance of the speech recognition engine is one of the most critical elements of the in-vehicle speech recognition interface. The objective of this paper is to develop an automated platform for running performance tests on the in-vehicle speech recognition engine. The developed platform comprise of main program, agent program, database management module, and statistical analysis module. A simulation environment for performance tests which mimics the real driving situations was constructed, and it was tested by applying pre-recorded driving noises and a speaker's voice as inputs. As a result, the validity of the results from the speech recognition tests was proved. The users will be able to perform the performance tests for the in-vehicle speech recognition engine effectively through the proposed platform.