• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.4
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• pp.2129-2147
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• 2019

This paper introduces an adaptive face recognition method based on a Novel Incremental Kernel Nonparametric Discriminant Analysis (IKNDA) that is able to learn through time. More precisely, the IKNDA has the advantage of incrementally reducing data dimension, in a discriminative manner, as new samples are added asynchronously. Thus, it handles dynamic and large data in a better way. In order to perform face recognition effectively, we combine the Gabor features and the ordinal measures to extract the facial features that are coded across local parts, as visual primitives. The variegated ordinal measures are extraught from Gabor filtering responses. Then, the histogram of these primitives, across a variety of facial zones, is intermingled to procure a feature vector. This latter's dimension is slimmed down using PCA. Finally, the latter is treated as a facial vector input for the advanced IKNDA. A comparative evaluation of the IKNDA is performed for face recognition, besides, for other classification endeavors, in a decontextualized evaluation schemes. In such a scheme, we compare the IKNDA model to some relevant state-of-the-art incremental and batch discriminant models. Experimental results show that the IKNDA outperforms these discriminant models and is better tool to improve face recognition performance.

• Phonetics and Speech Sciences
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• v.12 no.4
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• pp.19-25
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• 2020

This study examined thirty-one Korean students' pronunciation of an English passage using a speech recognition application, Speechnotes, and two Canadian raters' evaluations of their speech according to the International English Language Testing System (IELTS) band criteria to assess the possibility of using the application as a teaching aid for pronunciation education. The results showed that the grand average percentage of correctly recognized words was 77.7%. From the moderate recognition rate, the pronunciation level of the participants was construed as intermediate and higher. The recognition rate varied depending on the composition of the content words and the function words in each given sentence. Frequency counts of unrecognized words by group level and word type revealed the typical pronunciation problems of the participants, including fricatives and nasals. The IELTS bands chosen by the two native raters for the rainbow passage had a moderately high correlation with each other. A moderate correlation was reported between the number of correctly recognized content words and the raters' bands, while an almost a negligible correlation was found between the function words and the raters' bands. From these results, the author concludes that the speech recognition application could constitute a partial aid for diagnosing each individual's or the group's pronunciation problems, but further studies are still needed to match human raters.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.909-914
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• 2024

This study suggests a quantitative evaluation of transfer learning, which is widely used in various AI fields, including image recognition for robot vision. Quantitative and qualitative analyses of results applying transfer learning are presented, but transfer learning itself is not discussed. Therefore, this study proposes a quantitative evaluation of transfer learning itself based on MNIST, a handwritten digit database. For the reference network, the change in recognition accuracy according to the depth of the transfer learning frozen layer and the ratio of transfer learning data and pre-training data is tracked. It is observed that when freezing up to the first layer and the ratio of transfer learning data is more than 3%, the recognition accuracy of more than 90% can be stably maintained. The transfer learning quantitative evaluation method of this study can be used to implement transfer learning optimized according to the network structure and type of data in the future, and will expand the scope of the use of robot vision and image analysis AI in various environments.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1174-1183
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• 2012

This study, depending on the diversification of the information environment, was carried out to analyze the role of visual cues and the relationship between visual information structure in the process of user's visual immersion and recognition. Thus, we design evaluation model which used scientific instruments and subjective evaluation taking into account the latest graphical user trends, and analyze the data of immersion and recognition of the user experience that acquired through the process more systematic experimental procedure. Based on this, in the future, this study will be able to contribute implement the latest broadly applicable to the device of graphical information user basic design model and a standard evaluation model.

• Phonetics and Speech Sciences
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• v.10 no.4
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• pp.111-119
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• 2018

This paper proposes a method to improve speech recognition performance by extracting various pronunciations of the pseudo-morpheme unit from an eojeol unit corpus and generating a new recognition unit considering pronunciation variations. In the proposed method, we first align the pronunciation of the eojeol units and the pseudo-morpheme units, and then expand the pronunciation dictionary by extracting the new pronunciations of the pseudo-morpheme units at the pronunciation of the eojeol units. Then, we propose a new recognition unit that relies on pronunciation by tagging the obtained phoneme symbols according to the pseudo-morpheme units. The proposed units and their extended pronunciations are incorporated into the lexicon and language model of the speech recognizer. Experiments for performance evaluation are performed using the Korean speech recognizer with a trigram language model obtained by a 100 million pseudo-morpheme corpus and an acoustic model trained by a multi-genre broadcast speech data of 445 hours. The proposed method is shown to reduce the word error rate relatively by 13.8% in the news-genre evaluation data and by 4.5% in the total evaluation data.

• The Journal of Korean Academy of Sensory Integration
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• v.5 no.1
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• pp.21-30
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• 2007

Objective: This study was to provide a standard for the evaluation of The Korean version of Adolescent/Adult Sensory Profile(K-ASP) for University students and to investigate the difference of the subjective sense recognition regarding the characteristics of sensory processing. Method: The subjects consisted of 84 University students. A researcher examined subjective sense recognition and K-ASP for subjects. Visual Analog Scale used to evaluate subjective sense recognition and K-ASP was utilized to evaluate the characteristics of sensory processing. Results: 1. The average scores and standard deviation of K-ASP were $32.93{\pm}7.88$ for low registration group, $39.39{\pm}6.55$ for sensory seeking group, $38.94{\pm}9.13$ for sensory sensitivity group, and $34.24{\pm}7.85$ for sensory avoiding group. 2. The correlation between the total score on an each quadrant and the subjective sense recognition are -.27 for low registration group, .11 for sensory seeking group, .09 for sensory sensitivity group and .12 for sensory avoiding group. It showed the statistically significant correlation between the total score of low registration and the subjective sense recognition group(p<.05). 3. The average scores and standard deviation of the subjective sense recognition were $5.22{\pm}1.56$ for high threshold and $7.28{\pm}1.70$ for low threshold. The subjective sense recognition according to the characteristics of sensory processing showed the statistically significant difference. Conclusions: This study supports the theory that there is the difference of sensory recognition according to each individual and we found that people with difficulties of sensory processing acknowledge their characteristics of sensory processing well. Evaluation of sensory processing ability through interview or questionnaire supports the fact which it is reliable.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.3
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• pp.179-184
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• 2013

A voice recognition technology as a technology fundament plays an important role in medical devices with smart functions. This paper describes the implementation of a control system that can be utilized as a part of illumination equipment for medical applications (IEMA) based on a voice recognition. The control system can essentially be divided into five parts, the microphone, training part, recognition part, memory part, and control part. The system was implemented using the RSC-4x evaluation board which is included the micro-controller for voice recognition. To investigate the usefulness of the implemented control system, the experiments of the recognition rate was carried out according to the input distance for voice recognition. As a result, the recognition rate of the control system was more than 95% within a distance between 0.5 and 2m. The result verified that the implemented control system performs well as the smart control system based for an IEMA.

• The Journal of the Korea Contents Association
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• v.14 no.5
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• pp.44-54
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• 2014

This study explores the influence of viewing Korean TV drama on the Japanese attitude toward Korea. Especially this study focuses how Japanese's recognition about Korea and Japanese history influence the evaluation of Korean TV drama. This study conducts survey on 250 Japanese female viewers. As result, it was founded that the historical recognition of Japanese have positive effects on viewing evaluation and Korea national image. The findings suggests that the historical recognition with Korea and Japan worked a important factor for Korean dram flow. It is necessary to reconsider cultural-diplomatical policy to rectify the historial recognition.

• Journal of the Korean housing association
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• v.28 no.1
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• pp.63-72
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• 2017

The purpose of this study is to investigate the overall recognition on attitudes of well-dying and evaluation the importance of planning factors of well-dying space in college students. This will serve as a basis to accumulate materials on the recognition of well-dying and well-dying spaces of various generations of South Korea. This study conducted a survey from October 4th to 8th, 2016 with 119 college students from U University and K University. As the contents of the survey, were comprised of general socio-demographic elements, subjective recognition and attitudes toward well-dying, and the importance of the planning factors of the physical, emotional, social and spiritual environments of the well-dying space. The main results are as follows. (1) The interest of university students on death education is high, and there was a preference for 'home' where they could be comfortable and be with loved ones as the space for dying. Also, in case of events of bereaving them after death, formal grieving ceremonies were undesired. The funeral was desired to be simple, serene, and not too sad. (2) In evaluation of the importance of physical, emotional, and spiritual environmental planning factors, physical environmental factors were considered to be the most important overall, and the recognition of importance of the planning factors of spiritual environment was low.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.3
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• pp.135-146
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• 2017

Entrepreneurship based on valuable opportunities has a positive effect on long-term economic growth. This study examines the entrepreneurship education offered to small business entrepreneurs from the perspective of opportunity-driven entrepreneurship in order to suggest improvements and future direction for small business entrepreneurship education. Also, we tried to investigate entrepreneurial behaviors related to opportunity development more effectively by considering entrepreneurial self-efficacy and regulatory focus that play a crucial role in opportunity development process as mediating variables. Conducted was an online survey of small business owners nationwide who have completed entrepreneurship education provided by the government, and 345 online survey data were used for empirical analysis. The results show that entrepreneurship education for small business entrepreneurs positively influences entrepreneurial self-efficacy. Entrepreneurial self-efficacy is positively related to both opportunity recognition and evaluation as well as the promotion and prevention focus. Entrepreneurship education, which includes theoretically and practically oriented courses, has a positive impact on both the promotion and prevention focus. The promotion focus of small business entrepreneurs was found to have a positive effect on opportunity recognition, but not on opportunity evaluation. Also, the preventive focus of small business entrepreneurs does not have a significant effect on both opportunity recognition and evaluation. The current entrepreneurship education for small business entrepreneurs does not have a significant impact on their opportunity recognition and evaluation. These results suggest that the current entrepreneurship education for small business entrepreneurs needs improvements to promote opportunity-driven entrepreneurship.