• International Journal of Contents
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• v.12 no.4
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• pp.53-61
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• 2016

Although extensively developed, optical music recognition systems have mostly focused on musical symbols (notes, rests, etc.), while disregarding the chord symbols. The process becomes difficult when the images are distorted or slurred, although this can be resolved using optical character recognition systems. Moreover, the appearance of outliers (lyrics, dynamics, etc.) increases the complexity of the chord recognition. Therefore, we propose a new approach addressing these issues. After binarization, un-distortion, and stave and lyric removal of a musical image, a rule-based method is applied to detect the potential regions of chord symbols. Next, a lexicon-driven approach is used to optimally and simultaneously separate and recognize characters. The score that is returned from the recognition process is used to detect the outliers. The effectiveness of our system is demonstrated through impressive accuracy of experimental results on two datasets having a variety of resolutions.

• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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• pp.146-154
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• 2012

Purpose: The purpose of this study was to examine the effects of preceptor nurses' self-leadership on role recognition and job satisfaction. Method: The participants were 171 preceptor nurses worked in one of three general hospitals in Seoul. The data were collected from April 12 to May 12, 2011 and analyzed using descriptive statistics, t-test, ANOVA, pearson correlation, Scheffe, and regression with SPSS Win 19.0 program. Result: The results of the study were as followed. The average score for preceptor nurses' self-leadership was 3.55, for role recognition, 3.81 and for job satisfaction, 3.28. The factors of the preceptors' self-leadership affecting role recognition were self-expectation (${\beta}$=260, p=.002) and goal setting (${\beta}$=199, p=.030), and those factors accounted for 18.9% of explanatory power. The factors of self-leadership influencing job satisfaction were self-expectation (${\beta}$=18.3, p=.021), and rehearsal (${\beta}$=-168, p=.030), and those factors accounted for 31.3% of explanatory power. Among the factors of self-leadership, self-expectation influenced both role recognition and job satisfaction. Conclusions: The results of the study indicate that to improve preceptor's role recognition and job satisfaction, there should be special training programs to enhance preceptor's self leadership.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.1
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• pp.191-197
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• 2007

Vision system is an object recognition system analyzing image information captured through camera. Vision system can be applied to various fields, and vehicle recognition is ole of them. There have been many proposals about algorithm of vehicle recognition. But have complex calculation processing. So they need long processing time and sometimes they make problems. In this research we suggested vehicle type recognition system using vision bpx based on embedded platform. As a result of testing this system achieves 100% rate of recognition at the optimal condition. But when condition is changed by lighting, noise and angle, rate of recognition is decreased as pattern score is lowered and recognition speed is slowed.

• Journal of International Academy of Physical Therapy Research
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• v.7 no.2
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• pp.994-998
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• 2016

The purpose of this study was to examine the effects of sensory stimulation type on the learning of the elderly. The study implemented elderly verbal learning test by evenly dividing a total of 40 elderly people into auditory stimulation followed by visual stimulation group(AVG), visual stimulation followed by auditory stimulation group(VAG), simultaneous visual and auditory stimulation group(SG), and auditory stimulation group(AG). The result are as follows. SSG showed highest results in most of the test, followed by AVG, VAG, and AG. In particular, SG showed a statistically significant difference in immediate recall total score and short delay free recall score(p<.05). In the post-hoc test results of immediate recall total score, SG showed highest score with a statistical significance. AVG showed the second highest score, followed by VAG and AG and all showed a statistic significance(p<.05).In the post-hoc test results of short delay free recall score, SG and AVG showed a statistically significantly higher score than AG(p<.05). The results suggest that simultaneous stimulation of visual and auditory sense is more effective for improving the learning of the elderly people than visual stimulation followed by auditory stimulation or auditory stimulation followed by visual stimulation.

• Korean journal of food and cookery science
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• v.20 no.5
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• pp.444-452
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• 2004

The purpose of this study was to investigate the perception and preference of the general public about Korean traditional rice cakes. Self-administered questionnaires were collected from 511 residents in Seoul and its vicinities. Data was analysed by t-test and one-way ANOVA. The recognition of Korean traditional rice cake was generally low except for the items that could be easily seen as either seasonable or festive foods. There was a significant difference in the average score of recognition and preference for each kind of Korean traditional rice cake according to gender and age. Injulmi, Yaksik, Songpyun, Baiksulgi and Garaeduk are highly preferred Korean traditional rice cakes, whereas Suktanbyung, Dootupduk, Soemuriduk and Daechoodanja are poorly considered among the general public.

• The Journal of the Acoustical Society of Korea
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• v.16 no.3E
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• pp.19-23
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• 1997

The goal of postprocessing in automatic speech recognition is to improve recognition performance by utterance verification at the output of recognition stage. It is focused on the effective rejection of out-of vocabulary words based on the confidence score of hypothesized candidate word. We present two methods for computing confidence scores. Both methods are based on the distance between each observation vector and the representative code vector, which is defined by the most likely code vector at each state. While the first method employs simple time normalization, the second one uses a normalization technique based on the concept of on-line garbage mode[1]. According to the speaker independent isolated words recognition experiment with discrete density HMM, the second method outperforms both the first one and conventional likelihood ratio scoring method[2].

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.4
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• pp.228-236
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• 2011

Emotion recognition plays an important role in the research area of human-computer interaction, and it allows a more natural and more human-like communication between humans and computer. Most of previous work on emotion recognition focused on extracting emotions from face, speech or EEG information separately. Therefore, a novel approach is presented in this paper, including face, speech and EEG, to recognize the human emotion. The individual matching scores obtained from face, speech, and EEG are combined using a weighted-summation operation, and the fused-score is utilized to classify the human emotion. In the experiment results, the proposed approach gives an improvement of more than 18.64% when compared to the most successful unimodal approach, and also provides better performance compared to approaches integrating two modalities each other. From these results, we confirmed that the proposed approach achieved a significant performance improvement and the proposed method was very effective.

• Journal of the Korean Society of Food Culture
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• v.17 no.5
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• pp.594-604
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• 2002

The Purpose of this study was to investigate the perception and preference of the college student about Korean traditional rice cakes. Self admistered questionnaires were collected from 512 college students in Seoul, Kyungki, Chungchungdo, Kungsangdo, Junlado and Gangwondo area. Data was analysed by t-test, one-way ANOVA and correlation. The recognition of Korean traditional rice cake was generally low except for the items that could be easily seen as either seasonable or festive foods. There was a significant difference in the average score of recognition and preference for each kinds of Korean traditional rice cake according to the major, gender and grade of subjects. Baiksulgi, Injulmi, Yaksik, Bindaeduk, Songpyun and Garaeduk are highly prefered Korean traditional rice cakes when as Gaepiduk, Ssookjulpyun, Kongchalduk and Garaeduk are poorly among college students.

• Korean journal of food and cookery science
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• v.22 no.6 s.96
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• pp.840-848
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• 2006

To analyse the impact of recognition for local food on frequency of visiting for local food restaurants, we surveyed 333 residents in the Kyungsangdo areas. The findings are summarized as follows. On interest of native foods, 'much' scored 40.6% and 'taste' scored 32.9%, in requirement of development. The criteria of selection of local foods was 62.3% in 'taste'. 'Institute(municipal government)' scored 31.3% as the main responsible body for the succession of local foods. The most significant criterion for tourism product of local foods was 'taste'(34.5%). The most effective way to popularize the local foods was to 'hold various kinds of cultural events'(27.5%). The necessity score on tourism product of local foods was 3.55 points. The highest recognition on native local foods was 'succession to next generation'(3.96 points). The most influential variable affecting the visit frequency toward local food restaurants was 'health factor'.

• Korean Journal of Remote Sensing
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• v.3 no.1
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• pp.25-39
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• 1987

The purpose of this research is to develop the Automatic Fingerprint Verfication System by digital computer based on specially in PC level. Fingerprint is used as means of personal identity verification in view of that it has the high reliability and safety. Fingerprint pattern recognition algorithm is constitute of 3 stages, namely of the preprocessing, the feature extraction and the recognition. The preprocessing stage includes smoothing, binarization, thinning and restoration. The feature extraction stage includes the extraction of minutiae and its features. The recognition stage includes the registration and the matching score calculation which measures the similarity between two images. Tests for this study with 325 pairs of fingerprint resulted in 100% of separation which which in turn is turned out to be the reliability of this algorithm.