• Journal of the Korean Institute of Telematics and Electronics T
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• v.35T no.3
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• pp.53-60
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• 1998

In this paper, we proposed a set of ANSI-Korean character patterns for handwriting recognition that can be used as an input method of mobile computers like PDA (Personal Digital Assistant). In the case of bilinguals, two kinds of alphabets are written alternatively So the method of input character mode change must be provided, and this cause discomfort of writing. Our proposed written character patterns have some constraint but permit ANSI-Korean mixed writing without mode change keeping original form of alphabets and can be recognized with simple algorithm relatively. For ANSI character we analysis Graffiti and propose new writing pattern, which is more similar to original form. There are many researches about input method of unpacking Korean character and writing patterns. But they are not widely used because it's excessively contrary to original form of Korean characters. To show our proposed writing patterns usefulness, we studied the satisfaction and easiness of writing and the recognition rates. Writers are divided into two groups; PDA users, familiar to Graffiti, and others. The results satisfy usefulness in the both groups.

• Journal of the Korea Society of Computer and Information
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• v.14 no.3
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• pp.173-182
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• 2009

In this paper, we studied about the extraction of the parameter and implementation of speechreading system to recognize the Korean 8 vowel. Face features are detected by amplifying, reducing the image value and making a comparison between the image value which is represented for various value in various color space. The eyes position, the nose position, the inner boundary of lip, the outer boundary of upper lip and the outer line of the tooth is found to the feature and using the analysis the area of inner lip, the hight and width of inner lip, the outer line length of the tooth rate about a inner mouth area and the distance between the nose and outer boundary of upper lip are used for the parameter. 2400 data are gathered and analyzed. Based on this analysis, the neural net is constructed and the recognition experiments are performed. In the experiment, 5 normal persons were sampled. The observational error between samples was corrected using normalization method. The experiment show very encouraging result about the usefulness of the parameter.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.634-642
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• 2018

People with spinocerebellar ataxia, a hereditary and progressive neurogenic disorder, suffer from ataxic dysarthria due to cerebellar dystrophy. This study was designed to examine if intensive motor speech treatment yields improvement in progressive ataxic dysarthria and if then, to investigate magnitude of therapeutic effect. SPEAK $OUT!^{(R)}$ was provided to a 55-year old female diagnosed with SCA for improving motor speech functions. Magnitude of therapeutic effect was large in changes of MPT and vocal intensity across speech tasks. Small effect size was found in changes of fundamental frequency, however, large therapeutic effect was observed in changes of frequency range. In addition, improvement of vocal quality based on jitter, shimmer, and HNR was observed with large therapeutic effect size and vowel space was expanded, particularly, due to F1. Lastly, VHI scores were decreased. Intensive motor speech treatment, called as SPEAK $OUT!^{(R)}$ was effective enough to observe improvement in vocal intensity, frequency range, and vocal quality, expanding vowel space and lowering VHI scores. Based on the results of this case study, further efficacy evaluation of SPEAK $OUT!^{(R)}$ for improving progressive ataxic dysarthria in people with SCA is required.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.481-490
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• 2002

Off-line handwritten character recognition is in difficulty of incomplete preprocessing because it has not dynamic information has various handwriting, extreme overlap of the consonant and vowel and many error image of stroke. Consequently off-line handwritten character recognition needs to study about preprocessing of various methods such as binarization and thinning. This paper considers running time of watershed algorithm and the quality of resulting image as preprocessing for off-line handwritten Korean character recognition. So it proposes application of effective watershed algorithm for segmentation of character region and background region in gray level character image and segmentation function for binarization by extracted watershed image. Besides it proposes thinning methods that effectively extracts skeleton through conditional test mask considering routing time and quality of skeleton, estimates efficiency of existing methods and this paper's methods as running time and quality. Average execution time on the previous method was 2.16 second and on this paper method was 1.72 second. We prove that this paper's method removed noise effectively with overlap stroke as compared with the previous method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.629-641
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• 2016

This study analyzed the use of the phenomenological method proposed by Colaizzi (1978) in order to understand the meaning of block system class experiences in nursing students. Furthermore, this study provides primal data to improve curriculum efficiency. The data were collected from 18 participants who were students at a nursing university in the city of G from 20th of June to 10th of July 2015. This study investigated nursing student's block system class experience. The study results show six theme clusters consisting of 'Discomfort', 'Unsystematic study', 'Holding back an urge', 'Ever intensifying relationship', 'New discovery', and 'Chance for development', 17 themes, and 42 sub themes, which are included in those clusters in 58 configured meanings. This demonstrates that nursing students could reestablish their resolve for personal betterment and realize the importance of managing time by finishing the procedure with their best efforts although they suffer from physical and psychological inconvenience due to massive amounts of learning and assignment. These results indicate the need for development of stress management and an emotional support program based on the experience of nursing students.

• Journal of the Korea Society of Computer and Information
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• v.11 no.6 s.44
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• pp.99-106
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• 2006

Type classification is a very needed step in recognizing huge character set language such as korean characters. Since most previous researches are based on the composition rule of Korean characters, it has been difficult to correctly classify composite vowel characters and problem space was not divided equally for the lack of classification of last consonant which is relatively bigger than other graphemes. In this paper, I Propose a new type classification method in which horizontal vowel is extracted before vortical vowel and last consonants are further classified into one of five small groups based on horizontal projection profile. The new method uses 19 character types which is more stable than previous 6 types or 15 types. Through experiments on 1.000 frequently used character sets and 30.614 characters scanned from several magazines, I showed that the proposed method is more useful classifying Korean characters of huge set.

• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.15-22
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• 2007

As we detect defects and eliminate them in early stages, we can make better quality software. For doing this task, we need to use a defect tracking system which con effectively track and manage defects that give severe effects on software quality. Those existing defect tracking systems have some weaknesses as we apply them to organizations that use CMMI for process improvements. Major problems of those systems are that they require the organizations to collect many types of defect data at a time without providing the proper explanation and even without the support of defect management process. The organizations at CMMI maturity level 2 and 3 have problems for analyzing those defects because there is no specific process area at CMMI maturity level 2 and 3 which directly handles defect managing activites. This paper resolves those problems by developing a defect tracking system which offers methods of managing defects. And the system provides guidelines of which defects should be gathered for each CMMI mathurity levels. The system also has functions to generate various status and statistic information on defects, and to assign defect data to the person in charge so that he or she track the defect to the closure

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.141-148
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• 2020

Automatic term extraction is to recognize domain-specific terms given a collection of domain-specific text. Previous term extraction methods operate effectively in unsupervised manners which include extracting candidate terms, and assigning importance scores to candidate terms. Regarding the calculation of term importance scores, the study focuses on utilizing sets of inner and outer terms of a candidate term. For a candidate term, its inner terms are shorter terms which belong to the candidate term as components, and its outer terms are longer terms which include the candidate term as their component. This work presents various functions that compute, for a candidate term, term strength from either set of its inner or outer terms. In addition, a scoring method of a term importance is devised based on C-value score and the term strength values obtained from the sets of inner and outer terms. Experimental evaluations using GENIA and ACL RD-TEC 2.0 datasets compare and analyze the effectiveness of the proposed term extraction methods for English. The proposed method performed better than the baseline method by up to 1% and 3% respectively for GENIA and ACL datasets.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.1-11
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• 2019

The purpose of this study is to investigate in depth the lived experiences of utilizing supported housing among people with psychiatric disabilities. Phenomenological approach was used for this study. A total of 9 people with psychiatric disabilities were recruited as research participants. Data was collected through in-depth interviews from September, 2016 to March, 2018. Transcribed data from audio recordings on interviews were analyzed using the Colaizzi method. 6 clustered themes consisting of 17 sub-themes emerged through the qualitative data analysis and they include the following: 1) Confusion at site daily residence; 2) Feeling relaxed in supported housing site; 3) Development in self-perception; 4) Undertaking a leading role; 5) Growing capacity for independent living; and 6) Integration into normal life. Study findings suggest that expanding supported housing and improving its quality for people with psychiatric disabilities are needed. Additionally, the field of mental health needs an increase in the number of case managers with expertise in dealing with people suffering from psychiatric disabilities and their recovery.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.41-50
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• 2020

This paper deals with the Braille Education System which complements the shortcomings of the existing Braille Learning Products. An application dedicated to the blind is configured to perform full functions through touch gestures and voice guidance for user convenience. Braille kit is produced for educational purposes through Arduino and 3D printing. The system supports the following functions. First, the learning of the most basic braille, such as initial consonants, final consonant, vowels, abbreviations, etc. Second, the ability to check learned braille by solving step quizzes. Third, translation of braille. Through the experiment, the recognition rate of touch gestures and the accuracy of braille expression were confirmed, and in case of translation, the translation was done as intended. The system allows blind people to learn braille efficiently.