• Journal of The Korean Association of Information Education
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• v.9 no.1
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• pp.99-112
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• 2005

In this research, we analyze chatting language of elementary school students, present the properties which are a result of this analysis and propose the method to solve it. Analysis on the chatting language considering organic relation of sentences is classified into syntactic, semantic and statistical characteristics. As a result of analysis, new characteristics is discovered writing by the way children pronounce their words, writing by switching the order of syllable's frontal and rear ends, inarticulate conversation of the other man. To minimize language misuse and to establish a chatting culture that is favorable to the development of children's emotional development, we propose the methods of computer system.

• Korean Journal of Child Studies
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• v.23 no.6
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• pp.139-152
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• 2002

The test for the identification of verbally gifted children was administered to 323 gifted and average primary school children. Listening, reading, writing were analyzed by statistical methods, and speaking was videotaped for analysis of the interview and discussion process. Cronbach's ${\alpha}$ confirmed reliability of the test. There were significant correlations between item scores and total scores. Concurrent validity was indicated by correlations between total scores and language arts scores. The test showed differences between the gifted and average children in reading and writing scores for the 2nd and the 3rd graders, and in listening and reading scores for the 4th, 5th, and 6th graders. Analysis of speaking ability showed that the gifted children expressed their ideas more logically and creatively than the average children.

• Journal of dental hygiene science
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• v.11 no.2
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• pp.63-67
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• 2011

This study aimed to propose appropriate methods of statistical analysis and interpretation of survey results in dental hygiene. By using examples of published articles in the Journal of Dental Hygiene Science from 2003 to 2008, we made some suggestions to improve scientific and clear writing of the contents; purpose of the study, subjects and methods, statistical analysis, tables, and interpretations.

• Phonetics and Speech Sciences
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• v.1 no.4
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• pp.133-144
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• 2009

This paper presents a method for constructing and using transliteration rules which are based on Phonics, an instructional method for speaking and writing English letters. Conventional approaches to automatic transliteration often focused on statistical methods. However, the construction or the collection of correct transliteration examples is always the bottleneck of the statistical transliteration model. Also, in practical domains where the collection of such data is very difficult, such as education and tourism, it is reasonable to build a system without much qualified data. Furthermore, compared with Korean orthography of borrowed foreign words, the proposed approach is much easier to construct, and can generate more refined rules. The experimentation result shows that the proposed approach can improve the performance of a statistical-based transliteration system.

• Smart Media Journal
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• v.3 no.3
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• pp.26-35
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• 2014

The statistical graphics is a design field focusing on the user perception aspects for the correct information delivery and the effective understanding, with the use of the quantitative data through the information analysis, extraction, visualization process. The statistical graphics with the big data composition factor is termed as the statistical big data graphics. In the statistical graphics the visual factors are used to reduce the errors in the perception part and to successfully deliver the information. However, in the statistical big data graphics the visual factors of the enormous data are causing the cognitive discouragements. The purpose of this study is to extract the cognitive discouragement factors from the big data statistical graphics, categorizing the types of the statistical big data graphics as 'network type', 'segment type', and 'mixed type', based on their compositional shapes, and explored the characteristics according to them. Especially, based on the visual main factors in the statistical big data graphics, We extracted the cognitive discouragement factors that appear in the high visualization as the four categories: 'multi-dimensional cases', 'various color', 'information overlap', and 'legibility of the writing'.

• The Journal of Korean Academy of Sensory Integration
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• v.15 no.1
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• pp.10-20
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• 2017

Objective : The purpose of this study was to investigate the effect of proprioceptive-vestibular based sensory integrative intervention on handwriting and fine motor function in elementary school students in grades 1 to 3. Methods : In this study, eight students in an elementary school in Busan were enrolled. The intervention was conducted twice a week from May to October, 2016, and a total of 14 intervention sessions were conducted. In order to evaluate the writing ability and the fine-motor exercise ability before and after the intervention, the fine-motor movement items of the Korean alphabet writing test and the Bruininks-Oseretsky Test of Motor Proficiency (BOTMP) evaluation were used. Results : There was a statistically significant difference between the total scores of consonant writing and the Korean alphabet writing assessment after the intervention. In BOTMP-Fine motor, the response speed items showed statistically significant difference. Visual-motor control scores increased during intervention, but the statistical significance was not found. Conclusion : Sensory integration interventions might have positive effects on elementary school students' writing skills and fine motor functions.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.7 s.172
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• pp.27-37
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• 2005

Direct writing technology on the silicon wafer surface is used to reduce the size of the chip as the miniature trend in electronic circuit. In order to improve the productivity and efficiency, the real time quality estimation is very important in each semiconductor process. In laser marking, marking quality is determined by readability which is dependant on the contrast of surface, the line width, and the melting depth. Many researchers have tried to find theoretical and numerical estimation models fur groove geometry. However, these models are limited to be applied to the real system. In this study, the estimation system for the line width during the laser marking was proposed by process monitoring method. The light intensity emitted by plasma which is produced when irradiating the laser to the silicon wafer was measured using the optical sensor. Because the laser marking is too fast to measure with external sensor, we build up the coaxial monitoring system. Analysis for the correlation between the acquired signals and the line width according to the change of laser power was carried out. Also, we developed the models enabling the estimation of line width of the laser marking through the statistical regression models and may see that their estimating performances were excellent.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.120-128
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• 2023

In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.

• Journal of Korean Physical Therapy Science
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• v.3 no.2
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• pp.981-987
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• 1996

Hand function evaluations are an important element of the assessment process in physical rehabilitation settings. The purpose of this study was to investigate hand function evaluation. Subjects consisted of 20 with spastic cerebral palsy(mean age = 9.8, SD = 1.6) and 20 with athetoid cerebral palsy(mean age = 9.6, SD = 2.3). Two groups of subjects were tested twice(pretest and posttest) by the JHFT to measure evaluations of hand function. These findings suggest that on four subtests - writing, card turning, large heavy objects and Stacking Checker-the spastic cerebral palsy perform significantly faster than athetoid cerebral palsy. But there were no significant differences between the pretest and posttest in spastic and athetoid cerebral palsy. To see the statistical differences in the experimental results was done using origin V. 3.0.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.585-589
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• 2000

In this paper, we present a standard S/W solution for nursery administration. This S/W would substitute for classical nonscientific nursery management that has depended on personal experience and intuition. Especially, the suggest S/W design concepts are based on a diary writing on a computer. It means every statistical data and information for a sales forecast analyzed on the program just by keeping a din. Also it has two operation mode of easy menu and advanced menu for a different level of user.