• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.2
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• pp.177-182
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• 2003

In this study, we research the robust speech recognition for the syllables and phoneme units with the feature parameter including the voiced-unvoiced measures for the confusable words. In order to make it possible, we propose the measure representing the voiced-unvoiced degree by using the HPS(Harmonic Product Spectrum) information, used on pitch detection. We proposed this measures with the sharpnes, peak count and height measure of HPS. We reconstructed the feature parameter including this measures, then we performs the speech recognition experiments and compared with the typical feature parameters under the CVC type confusable syllables DB.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Journal of the Korean Society of Industry Convergence
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• v.16 no.4
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• pp.113-117
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• 2013

This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.

• The Research Journal of the Costume Culture
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• v.20 no.6
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• pp.895-911
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• 2012

The purpose of this study was to examine consumers' perceptions of eco-friendly children's-wear and their impact on the selection criteria for children's-wear and stores. A descriptive survey method using a self-administered questionnaire was employed. The sample consisted of mothers with children under the age of 13 residing in Seoul and the Gyeonggi area. Data were collected from September 2011 to October, 2011. The collected data were analyzed to find the differences between purchasers and non-purchasers of eco-friendly children's-wear in terms of their perceptions of eco-friendly children's-wear, as well as the influence of these perceptions on the consideration degree of criteria for the selection of children's wear and store. The results indicate that perceptions of eco-friendly children's-wear implied five key factors related to quality reliability, expected value, style, degree of recognition, and dissatisfaction with design and price. The results also revealed some differences between the group purchasing eco-friendly children's-wear and the group not purchasing eco-friendly children's-wear. These different perceptions were related to the aspects of quality reliability, expected value, style, degree of recognition. In general, the non-purchasing group displayed a lower mean score than the purchasing group. Both groups showed a low interest in aesthetic appreciation and the degree of recognition factor. The results showed that consumer's perceptions of eco-friendly children's-wear had an influence on the criteria for the selection of children's-wear and store type in both groups. Considering the findings of the study, it is clear that both purchasers and non-purchasers of eco-friendly children's-wear showed differences in their perceptions and purchasing behavior. Therefore, marketing strategies to appeal to the non-purchasing group should be differentiated from strategies used to ensure the loyalty of the purchasing group.

• Journal of the Korean Society of Industry Convergence
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• v.17 no.2
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• pp.77-83
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• 2014

This paper describes a new technology to develop the character recognition technology based on pattern recognition for non-contacting inspection optical lens slant or precision parts, and including external form state of lens or electronic parts for the performance verification, this development can achieve badness finding. And, establish to existing reflex data because inputting surface badness degree of scratch's standard specification condition directly, and error designed to distinguish from product more than schedule error to badness product by normalcy product within schedule extent after calculate the error comparing actuality measurement reflex data and standard reflex data mutually. Developed system to smallest 1 pixel unit though measuring is possible 1 pixel as $37{\mu}m{\times}37{\mu}m$ ($0.1369{\times}10-4mm^2$) the accuracy to $1.5{\times}10-4mm$ minutely measuring is possible performance verification and trust ability through an experiment prove.

• Science of Emotion and Sensibility
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• v.17 no.1
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• pp.53-62
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• 2014

Despite the huge potential of the practical application of emotion recognition technologies, the enhancement of the technologies still remains a challenge mainly due to the difficulty of recognizing emotion. Although not perfect, human emotions can be recognized through human images and sounds. Emotion recognition technologies have been researched by extensive studies that include image-based recognition studies, sound-based studies, and both image and sound-based studies. Studies on emotion recognition through facial expression detection are especially effective as emotions are primarily expressed in human face. However, differences in user environment and their familiarity with the technologies may cause significant disparities and errors. In order to enhance the accuracy of real-time emotion recognition, it is crucial to note a mechanism of understanding and analyzing users' personality traits that contribute to the improvement of emotion recognition. This study focuses on analyzing users' personality traits and its application in the emotion recognition system to reduce errors in emotion recognition through facial expression detection and improve the accuracy of the results. In particular, the study offers a practical solution to users with subtle facial expressions or low degree of emotion expression by providing an enhanced emotion recognition function.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.4
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• pp.698-708
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• 2017

How consumers perceives Korean heritage is the most essential motivation to purchase traditional products. This study investigates if there is a difference in the value perception of traditional culture on preferences for and the long-term relationship of Hanboks. It also investigates differences in the preference and consumption behavior of Hanboks depending on the degree of experience for Hanbok. For this research purpose, data were collected from 745 residents between the ages of 20-60 in the Seoul and metropolitan areas through online and offline surveys. The data were analyzed by descriptive statistics, factor analysis, and path analysis, using the SPSS-WIN 20.0, AMOS 20.0 program. The value recognition toward traditional culture derived aesthetic and symbolic factors. The result of grouping according to the experience of the Hanbok indicated that the two groups of traditional cultural values influenced preferences for Hanboks. In the middle group, only the symbolic value had a significant influence on the preference of Hanbok. It was found that the less experienced group had no traditional culture value factor which had a significant effect on the preferences for Hanboks. Based on the results of this study, it is expected to be used as basic data to establish a marketing strategy to increase the preferences for traditional culture such as Hanboks by increasing various traditional culture experiences as well as Hanboks.

• The Korean Journal of Health Service Management
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• v.3 no.2
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• pp.29-43
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• 2009

The purpose of this study is to provide basic material about the improvement method of the hospital evaluation system by grasping recognition, corresponding behavior to evaluation, influence and problems about the hospital evaluation system with respect to the employee of mid sized hospitals having relatively poorer environment. In this study were used 518 questionnaires to hospital employee working at 20 general hospitals in Pusan, Kyungnam with less than 500 beds and having experience of the hospital evaluation during 2005~2007. As a result of the research, they felt the investigation tool used for the hospital evaluation has too many items and it could be difficult to reflect characteristics of each hospital. It appeared that utilization of the report result after the hospital evaluation was helpful for grasping a part necessary for hospital improvement and the present level of hospitals and increase of interest about medical service quality improvement of the a hospital director or hospital employee. They trusted the result of the hospital evaluation to some degree, and recognized it helps the patients to select a hospital and increase rights-to-know. Hospital employee recognized the necessity and showed high interest and participation, but they didn't sympathize in the propriety and the feasibility of the hospital evaluation items. High degree evaluated hospital employee receive hospital evaluation system positively and think hospital services to be improve after taking hospital evaluation. The hospital evaluation should make the hospital to effort to achieve medical quality improvement to its purpose. Also, systematic reformation will be necessary to reflect characteristics of the hospital that has relatively small scale or locates in poor environment.

• Journal of Korean society of Dental Hygiene
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• v.10 no.4
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• pp.617-625
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• 2010

Objectives : The research which sees collected information about dentistry infection management recognition of the patients and the infection management which the medical treatment consumer does in necessity is what, grasped and satisfaction and became the fundamental data which makes the hospital will be able to trust about dentistry image rise and dentistry environment of the medical treatment consumer who assists a dentistry character executed. Methods : From 2009 April 1st until May 28th 233 people common people who have the experience which visits a Gyeongsangnam-do area dentistry the object with the entry question law which sleeps did and the data analysis SPSS, 12.0 For Window under using produced each question item by frequency and a ratio, the analytical degree of infection management One - Way ANOVA stamps and executed t-test. Results : Information experience experienced about dentistry infection of the investigation object person to be, appeared with 74.7% and the after that dentistry assistance at the time of conduct change which experiences the answer back regarding of Former times attentively observes organization disinfecting' was most with 46.6%. The protective equipments wearing goal of the dentistry medical attendance appeared the dentistry medical attendance and patient protection 77.7%, dentistry medical attendance protection 12.9%, by patient protection 9.4% order. Before medical treatment starting of the dentistry medical attendance the hand Does not confirm' appeared 72.1%, with. The hand washing, is whole and the degree which appears is high with 4.11 points the stamp. Is high there was a possibility of knowing the thing about the recording infection where the educational background will be high and considers statistically the difference which was visible Conclusions : The education which is active and continuous is necessary about infection management and sets the guides which are standardized to the patients and about infection management and about infection prevention and exposes from dentistry practices well to emboss the thing is thought that there is a necessity to plant a trust feeling about the dentistry where the patients assist.

• Journal of Family Resource Management and Policy Review
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• v.23 no.3
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• pp.43-74
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• 2019

The purpose of this study is to analyze the effect of perceptions of work and family life on employee job satisfaction and to form a policy approach that contributes to the enhancement of worker satisfaction. In particular, we wanted to analyze how the characteristics of each variable appeared in industry groups with different gender ratios of workers. A notable point of the study was that the respondents who answered that work and family had similar importance were satisfied with their working conditions. In addition, it was found that the higher an employee's evaluation of the work-family reconciliation policy, the higher the employee's satisfaction with their working conditions. As a result of a path analysis, it was found that the most male-dominant industry was manufacturing, and the most female-dominant industry was health and social welfare. In the case of respondents who were employed in the most-male dominant industry, the degree of an employee's understanding of the work-family reconciliation policy recognition, rather than the relative priorities of work and family life, had a greater effect on job satisfaction. On the other hand, respondents who were employed in the most-female dominant industry confirmed that their level of education was highly related to the degree of institutional recognition.