• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1999.05a
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• pp.529-531
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• 1999

In this Paper, the variable dielectric breakdown strengths of epoxy composites were investigated at belling absorption condition in order to observe the influences of moisture in out door use. Also. in order to improve withstand voltage properties at moisture absorbtion condition, IPN(interpenetrating polymer network) method was Introduced and the Influence was investigated. As Adding filler(SiO$_2$) classified by o(phr), 50(phr) and 100[phr] to two kinds of matrix resin, six kinds of specimens were manufactured. As a result, it was confirmed that dielectric breakdown strength wer degraded with boiling time and filer content increasing. But, it was confirmed that dielectric breakdown strength degrading rate were lowered by the Improvement of adhesion strength in IPN specimens.

• Speech Sciences
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• v.10 no.1
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• pp.71-84
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• 2003

In the acoustic modeling for large vocabulary speech recognition, a sparse data problem caused by a huge number of context-dependent (CD) models usually leads the estimated models to being unreliable. In this paper, we develop a new clustering method based on the C45 decision-tree learning algorithm that effectively encapsulates the CD modeling. The proposed scheme essentially constructs a supervised decision rule and applies over the pre-clustered triphones using the C45 algorithm, which is known to effectively search through the attributes of the training instances and extract the attribute that best separates the given examples. In particular, the data driven method is used as a clustering algorithm while its result is used as the learning target of the C45 algorithm. This scheme has been shown to be effective particularly over the database of low unknown-context ratio in terms of recognition performance. For speaker-independent, task-independent continuous speech recognition task, the proposed method reduced the percent accuracy WER by 3.93% compared to the existing rule-based methods.

• The Journal of the Acoustical Society of Korea
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• v.26 no.1E
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• pp.21-26
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• 2007

In this paper, we propose a modified Viterbi algorithm to compensate for endpoint detection error during the decoding phase of an isolated word recognition task. Since the conventional Viterbi algorithm explores only the search space whose boundaries are fixed to the endpoints of the segmented utterance by the endpoint detector, the recognition performance is highly dependent on the accuracy level of endpoint detection. Inaccurately segmented word boundaries lead directly to recognition error. In order to relax the degradation of recognition accuracy due to endpoint detection error, we describe an unconstrained search of word boundaries and present an algorithm to explore the search space with efficiency. The proposed algorithm was evaluated by performing a variety of simulated endpoint detection error cases on an isolated word recognition task. The proposed algorithm reduced the Word Error Rate (WER) considerably, from 84.4% to 10.6%, while consuming only a little more computation power.

• The Research Journal of the Costume Culture
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• v.6 no.3
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• pp.34-45
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• 1998

The purposes of this study were 1) to segment the female formal suit market based on clothing benefits sought by housewives in Checheon 2) to compare the real and ideal self-image's relative power on the clothing benefits factor, and 3) to develop a profile of each segment concerning self-image (real and ideal), and demographics. The data wer collected via a questionnaire from housewives. Using factor and cluster analysis, four groups were identified and labeled as 1) Easy care oriented users 2) Aesthetics/fashion oriented users 3) Low benefit oriented users. ANOVA, Duncan's Multiple Range Test, Chi-square statistics revealed significant differences among the three groups according to clothing benefits, real and ideal self-image and demographic variables.

• The Transactions of the Korea Information Processing Society
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• v.7 no.3
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• pp.1000-1012
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• 2000

There are many factors for face recognition. Two of those are orientation and brightness of illumination. In early studies of face recognition, with fixing these factors to good conditions th goal of research was focused on improving recognition rate itself. But they are very important factors to be solved for implementing face recognition system. In this paper, two methods wer proposed to minimize the influence of illumination. One is the local difference filter to reduce the influence fo variation of illumination. The other is weight function considering the horizontal difference of intensity. Applying tow proposed methods, the resultant recognition rate revealed 86.5% for 275 test images.

• The Transactions of the Korean Institute of Power Electronics
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• v.4 no.6
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• pp.500-506
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• 1999

This paper presents the h밍h performance [GBT type auxiliary jXlWer supply designt.'Cl by new concept. For t the simplification and higher performance, the direct :3 level PWlVl inverter using the high capacity IGBT and t the 32bit DSP are adopted. The cost as well as bulk and weight is appreciably reduced about 40% lower than t those of conventional one. the electrical efficiency above 94~) o and the audible noise level is less than 65dB. In a addition, the TIID(Total lIannonic Distortion) factor is below 5% an이 the voltage fluctuation on a transient s state is below 10%.w 10%.

• 한국신재생에너지학회:학술대회논문집
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• 2006.06a
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• pp.312-314
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• 2006

포항공과대학교의 포항풍력에너지연구소(PoWER Center)가 개발에 참여했던 750kW급 직접구동형 국산화 풍력발전시스템(KBP-750D)은 그 개발이 완료되어 2005년 말경 대관령의 풍력실증단지에 설치되었고 현재는 시험운전이 수행되고 있다. KBP-750D의 상용화를 위하여 출력성능 및 하중측정을 통한 실증연구가 진행되고 있으며, 현재는 KBP-750D에 대한 출력성능 및 하중 측정을 수행하기 위하여 계측장치가 설치되어 시험 측정이 진행되고 있다. 본 발표에서는 풍력발전시스템에 설치된 계측장치의 구성 및 설치 결과를 상세히 보고한다.

• Phonetics and Speech Sciences
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• v.15 no.2
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• pp.13-20
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• 2023

This study explores the potential of automated speech recognition (ASR) in assessing English learners' pronunciation. We employed ASR technology, acknowledged for its impartiality and consistent results, to analyze speech audio files, including synthesized speech, both native-like English and Korean-accented English, and speech recordings from a native English speaker. Through this analysis, we establish baseline values for the word error rate (WER). These were then compared with those obtained for human raters in perception experiments that assessed the speech productions of 30 first-year college students before and after taking a pronunciation course. Our sub-group analyses revealed positive training effects for Whisper, an ASR tool, and human raters, and identified distinct human rater strategies in different assessment aspects, such as proficiency, intelligibility, accuracy, and comprehensibility, that were not observed in ASR. Despite such challenges as recognizing accented speech traits, our findings suggest that digital tools such as ASR can streamline the pronunciation assessment process. With ongoing advancements in ASR technology, its potential as not only an assessment aid but also a self-directed learning tool for pronunciation feedback merits further exploration.

• Science of Emotion and Sensibility
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• v.20 no.2
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• pp.117-126
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• 2017

In this study, moisture transport characteristics for the woven and knitted fabrics made of 8 kinds of fiber materials using MMT (moisture management tester) were measured and discussed with the Bireck bt MMT and water evaporating rate (WER) measuring methods, which are vertical moisture transport methods. In addition, the drying property by MMT of the eight kinds of specimens was compared and discussed with the results measured by the vertical drying measurement. MMT experimental result which is horizental moisture transport appeared to be similar to the result of the Bireck method, which is the vertical moisture transport experiment. Absortion time measured from drip method of the fabrics made of the bamboo, linen, and cotton/nylon composite fabrics was short and thus they showed best wicking property, which was attributed to the low contact angle on the fabric surface and high porosity of the fabrics due to the staple yarn structure composed of the hydrophilic staple fibers. In drying property of the fabric specimens by MMT, maximum absorption radius of the dry-zone knit and bamboo woven fabrics were the highest and they showed the best drying property, which was a little different result compared with vertical drying measurement method. Half time of the drying rate in the MMT method was highly correlated with the fabric thickness and saturated moisture absortion rate and their regression coefficients were 0.9 and 0.88, respectively. This means that the knitted and woven fabric design technology for retaining good wicking and drying properties of the fabrics with thin fabric thickness is very important for obtaining high functional wear comfort fabrics. In addition, wicking and drying properties of the fabrics made of different fiber materials and with different yarns and fabric structures showed different results according to the measuring methods.

• The Korean Nurse
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• v.32 no.4
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• pp.48-62
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• 1993

This study was done for the purpose of analyzing the job-satisfaction and its depressive factors in human relation of operating room nurses of university hospital. Therfore, it makes an offer the basic data to help the resolution and prevention of the problems in operating room nurses. Furthermore, this study was conducted in order to find out some kinds of scientific data for the better control of depressive factors of job-satisfaction expressed by the operating room nurses. The structred questionaire reports of 246 operating room nurses who were employed in 5 different university hospitals which have over 1, 000 beds located in Seoul, Korea were used, which wer collected from August 24th to August 30th of 1992. The author visited supervisors of operating room in each university hospital and explained the aim of this study. The most of them(90.0%) answered to the questionaires. Analysis of the collected data were done by mean, standard deviation, percentage, t-test, F-test, Q-test, correlation analysis, one-way ANOVA.and stepwise multiple regression analysis. Major findings of this study were as follows: 1. The job of the operating room nurses were remarkably related with the satisfaction in human relation, which was defined as the behavioral job with thoughtful action rather than with mechanical action. However, the degree of satisfaction in human relation with personnel in other departments was found to be the lowest and its the main depressive factors were appeared due to the absence of interaction and uncooperative attitudes. Therefore, it was required that the members of other job need more cooperative attitude to the actual works in the operating room nurses. 2. The depressive factors in the satisfaction degree of human relation with offical seniors wer significantly related with their irresponsibility and partialness. Moreover, the job attitude of the operating room nurses is abundantly required to be improved, 3. The depressive factors in the satisfaction of human relation with medical doctors were significantly related with their insincerity and the class-consciousness. It is clearly suggested that the medical doctors do more cooperative behaviors for the jobs of the operating room without the suggested that the medical doctors do more cooperative behaviors for the jobs of the operating room without the superiority feeling of class-consciousness. 4. There was a significantly positive association between the satisfaction degree of human relation of the nurses with the following charateristics. (1) The registered nurses which had a tendency to be satisfied about the registered nurses' job. (2) The registered nurses which had a tendency to be a technique-aptitued in the motivation of the registered nurses'job. (3) The registered nurses which had a tendency to be satisfied about the total hospital working carrier and the aspects of old ages. Finally, these findings indicated that the operating room nurses should require the professional education courses associated with a high-development techniques and setisfaction in their jobs.