• Korean Journal of Human Ecology
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• v.18 no.5
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• pp.1077-1086
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• 2009

In this study, the effect of clothing color preferences of adolescents on their self expression desires and fashion interest were investigated. These investigations were intended to understand some psychological aspects of adolescents and to make a contribution to guiding them in forming self identities and expressing themselves confidently through clothing. This research was based on 452 copies of questionnaires distributed to middle and high school students living in Seoul and other metropolitan areas from the middle of March to the beginning of April, 2008. The results were as follows. First, there was a significant difference in clothing color preference and clothing color tone preference between male students and female students. Second, the factor analysis which has been performed by taking assimilation, individuality, recognition, and image management as composing dimensions of self expression desire shows significant differences between these dimensions. Third, the difference in the self expression desires according to clothing color preference showed that the group preferring cool colors and the group preferring warm colors possessed the same highest self expression desires. And, it was revealed that the clothing color preference was a significant variable influencing fashion interest. Fourth, the effect of self expression desire on the fashion interest degree showed that recognition was the most significant factor and image management was the next.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.5
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• pp.85-91
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• 1989

In this paper, we propose a neural net system for speech recognition, which is composed of two neural networks. Firstly the self-supervised BP(Back Propagation) network generates the distributed concept corresponding to the activity pattern in the hidden units. And then the self-organizing neural network forms a concept map which directly displays the similarity relations between concepts. By doing the above, the difficulty in learning the conventional BP network is solved and the weak side of BP falling into a pattern matcher is gone, while the strong point of generating the various internal representations is used. And we have obtained the concept map which is more orderly than the Kohonen's SOFM. The proposed neural net system needs not any special preprocessing and has a self-learning ability.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.2C
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• pp.31-40
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• 2005

we propose an enhanced self-generation supervised algorithm that by combining an ART algorithm and the delta-bar-delta method. Form the input layer to the hidden layer, ART-1 and ART-2 are used to produce nodes, respectively. A winner-take-all method is adopted to the connection weight adaption so that a stored pattern for some pattern is updated. we test the recognition of student identification, a certificate of residence, and an identifier from container that require nodes of hidden layers in neural network. In simulation results, the proposed self-generation supervised learning algorithm reduces the possibility of local minima and improves learning speed and paralysis than conventional neural networks.

• The Transactions of the Korea Information Processing Society
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• v.4 no.1
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• pp.184-194
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• 1997

In the recent years number of commercial off-line character recognition systems have been appeared in the Korean market. This paper describes a "self -organizing" data structure for representing a large dictionary which can be searched in real time and uses a practical amount of memory, and presents a study on the character correction for off-line printed sentence marks, Japanese, English, and Chinese character recognition. Self-organizing algorithm can be recommenced as particularly appropriate when we have reasons to suspect that the accessing probabilities for individual words will change with time and theme. The wrongly recognized characters generated by OCR systems are collected and analyzed Error types of English characters are reclassified and 0.5% errors are corrected using an English character confusion table with a self-organizing dictionary containing 25,145 English words. And also error types of Chinese characters are classified and 6.1% errors are corrected using a Chinese character confusion table with a self-organizing dictionary carrying 34,593 Chinese words.ese words.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.29-36
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• 2016

This study aimed to examine differences in the academic achievement depending on general characteristics of adolescents, and to verify the predictors influencing them according to school levels. For the study, 555 adolescents were surveyed at B county of Gyeongbuk province in September 2015. The results were as follows. First, it was found out that the adolescents' academic achievement was different depending on school level, family type, and economic status. Second, the predictors of the academic achievement in middle school students were self-esteem, age, number of friend, and aggression. Third, the predictors of the academic achievement in high school students were self-esteem, age, school level, and violence recognition. Based on these results, the ways to improve the academic achievement were suggested.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1423-1432
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• 2021

This study aimed to understand the relationship between nurses' rewards and job enthusiasm, using the data from the 5th Korean Working Conditions Survey(2017). The subjects of this study consist of 359 nurses randomly sampled nationwide(218 from youth group, 141 from midddle age group). The effects of intrinsic and extrinsic rewards on job enthusiasm was indentified through GLM analysis. The results reveal that, for the entire group, participation in decision making, sense of achievement, self esteem, career prospects, recognition at work, work-life balance influence job enthusiasm. For the youth group, participation in decision making, sense of achievement, self esteem, career prospects, and work-life balance are the influencing factors; while for the middle age group, sense of achievement, self-esteem, and recognition at work are the influencing factors. In conclusion, we suggest establishing a reward system that incorporates participation in decision making, sense of achievement, self esteem, career prospects, recognition at work, and work-life balance, in order to boost nurses' job enthusiasm. Also, taking age groups into account when establishing such system may improve efficiency.

• Journal of the Korean Institute of Oriental Medical Informatics
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• v.21 no.1
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• pp.1-13
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• 2015

The aim of this study was to investigate hospital employees' knowledge, recognition and practice on the protection of personal information. A total of 250 hospital employees were selected using convenient sampling in J province. The data were collected using self-reported questionnaire and were analyzed using SPSS 18.0 program and descriptive statistics, Chi-squire test, t-test, ANOVA, and Pearson correlation coefficients. Average score for knowledge, recognition and practice were significantly associated with gender, education, hospital size and there was a correlation among knowledge, recognition and practice. The results of this study will help to develop education program on the protection of personal information for hospital employees.

• Journal of Technologic Dentistry
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• v.34 no.4
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• pp.423-431
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• 2012

Purpose: The purpose of this study was to examine the recognition of dental technician's about including denture into the coverage of the national health insurance. Methods: This study carried out self-administered questionnaire survey from June 10, 2012 to June 20 by having research subjects as 230 dental technician. Except 22 copies with incomplete response, 208 copies were used as the materials of final analysis. Results: The recognition of dental technician on the national health insurance of denture was 48%, but there was a low recognition on the details. The rates of dental technician who approved of the inclusion of denture into the coverage of the health insurance respectively stood at 59%. Conclusion: The coverage of the health insurance should be extended to dental medicine in a manner to satisfy dental technicians, dental service providers and receivers. Also, further studies for the extending coverage of the details are needed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4556-4572
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• 2015

Dynamic texture (DT) recognition is a challenging problem in numerous applications. In this study, we propose a new algorithm for DT recognition based on group sparsity structure in conjunction with chaotic feature vector. Bag-of-words model is used to represent each video as a histogram of the chaotic feature vector, which is proposed to capture self-similarity property of the pixel intensity series. The recognition problem is then cast to a group sparsity model, which can be efficiently optimized through alternating direction method of multiplier algorithm. Experimental results show that the proposed method exhibited the best performance among several well-known DT modeling techniques.

• ETRI Journal
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• v.45 no.5
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• pp.811-821
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• 2023

We propose an adaptive unmanned aerial vehicle (UAV)-assisted object recognition algorithm for urban surveillance scenarios. For UAV-assisted surveillance, UAVs are equipped with learning-based object recognition models and can collect surveillance image data. However, owing to the limitations of UAVs regarding power and computational resources, adaptive control must be performed accordingly. Therefore, we introduce a self-adaptive control strategy to maximize the time-averaged recognition performance subject to stability through a formulation based on Lyapunov optimization. Results from performance evaluations on real-world data demonstrate that the proposed algorithm achieves the desired performance improvements.