• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.539-550
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• 2003

As the service of mobile internet has been expended, student users are increase. The computers have been widely used in a education field as the teaching tool by improvement of the multimedia contents processing and user interface. The English learning using the computers in the restricted education environment provides motivations and effective learning to learners, but still have some problem such as teaching and evaluating without consideration for differences of individual levels. In order to solve the problems and take the advantages, we propose the intelligent tutoring system for english learning with mobile technology. Overcoming limitations of the mobile environment and using proper treacher's roles,. We have applied the conventional estimation method of the intellectual learner level for students. Also, we have proposed the diagnostic function in order to determine the method of teaching-learing and item disposition that each leaner prefers. Then we have designed and implemented the expert module, providing the feedback for teaching, of the intelligent turoring system for mobile english learning. This system will be able to support the interaction between teachers and students and replace some roles of teacher in the mobile english learning.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.91-98
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• 2010

Large corpus-based concatenating Text-to-Speech (TTS) systems can generate natural synthetic speech without additional signal processing. Because the improvements in the natualness, personality, speaking style, emotions of synthetic speech need the increase of the size of speech DB, it is necessary to prune the redundant speech segments in a large speech segment DB. In this paper, we propose a new method to construct a segmental speech DB for the Korean TTS system based on a clustering algorithm to downsize the segmental speech DB. For the performance test, the synthetic speech was generated using the Korean TTS system which consists of the language processing module, prosody processing module, segment selection module, speech concatenation module, and segmental speech DB. And MOS test was executed with the a set of synthetic speech generated with 4 different segmental speech DBs. We constructed 4 different segmental speech DB by combining CM1(or CM2) tree clustering method and full DB (or reduced DB). Experimental results show that the proposed method can reduce the size of speech DB by 23% and get high MOS in the perception test. Therefore the proposed method can be applied to make a small sized TTS.

• Journal of The Korean Association of Information Education
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• v.26 no.3
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• pp.197-207
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• 2022

In this paper, we develop a machine learning based block code generation and recommendation model for the purpose of reducing cognitive load of learners during coding education that learns the learner's block that has been made in the block programming environment using natural processing model and fine-tuning and then generates and recommends the selectable blocks for the next step. To develop the model, the training dataset was produced by pre-processing 50 block codes that were on the popular block programming language web site 'Entry'. Also, after dividing the pre-processed blocks into training dataset, verification dataset and test dataset, we developed a model that generates block codes based on LSTM, Seq2Seq, and GPT-2 model. In the results of the performance evaluation of the developed model, GPT-2 showed a higher performance than the LSTM and Seq2Seq model in the BLEU and ROUGE scores which measure sentence similarity. The data results generated through the GPT-2 model, show that the performance was relatively similar in the BLEU and ROUGE scores except for the case where the number of blocks was 1 or 17.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.731-736
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• 2023

Recently, the medical field has been applying mandatory Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) systems that computerize and manage medical records, and distributing them throughout the entire medical industry to utilize patients' past medical records for additional medical procedures. However, the conversations between medical professionals and patients that occur during general medical consultations and counseling sessions are not separately recorded or stored, so additional important patient information cannot be efficiently utilized. Therefore, we propose an electronic medical record system that uses speech recognition and natural language processing deep learning to store conversations between medical professionals and patients in text form, automatically extracts and summarizes important medical consultation information, and generates electronic medical records. The system acquires text information through the recognition process of medical professionals and patients' medical consultation content. The acquired text is then divided into multiple sentences, and the importance of multiple keywords included in the generated sentences is calculated. Based on the calculated importance, the system ranks multiple sentences and summarizes them to create the final electronic medical record data. The proposed system's performance is verified to be excellent through quantitative analysis.

• Korean Journal of Cognitive Science
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• v.32 no.1
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• pp.1-53
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• 2021

The aim of this study was to analyze word frequency effects on eye fixation duration in Korean reading with a one-boundary diffusion model and to show how these phenomena differ between adults (20-28yrs) and adolescents (13-14yrs). We predicted that the drift rate parameter in the boundary diffusion model would reflect the information processing of the fovea during silent reading. Through an eye movement tracking experiment while controlling word properties such as the word frequency and the age of acquisition, Experiment 1 and Experiment 2 show that the information processing pertaining to words to be placed in the fovea is connected to the drift rate of the one-boundary diffusion model parameters. In Experiment 1,in the adult group, the mean difference in the fixation time in the response proportion between the presence of high-frequency condition and low-frequency condition in the adult group was higher in quantile 0.9 than it was in the 0.1 quantile, but in the adolescent group, the mean difference in the fixation time in the response proportion between the two conditions was not significantly in the 0.9 quartile.In Experiment 2, the mean difference in the fixation time in the response proportion between early-acquired condition and late-acquired condition in both groups was also higher in the quantile 0.9 than in the 0.1 quantile. The distribution of the two conditions in the both groups was positively skewed, and the difference showed the same pattern found in the results of Ratcliff(Ratcliff & McKoon, 2008). Based on the experimental results, we propose one-boundary diffusion model as a tool to explain word property effects and individual differences in reading. In particular, we suggest that the drift rate parameter in the boundary diffusion model reflects the information processing of the fovea during reading. In addition, the results show that one-boundary diffusion model can be used to predict the aforementioned phenomena in reading.

• Journal of Convergence for Information Technology
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• v.9 no.4
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• pp.1-7
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• 2019

The medical environment, combined with IT technology, is changing the paradigm for medical services from treatment to prevention. In particular, as ICT convergence digital healthcare technology is applied to hospital medical systems, infrastructure technologies such as big data, Internet of Things, and artificial intelligence are being used in conjunction with the cloud. In particular, as medical services are used with IT devices, the quality of medical services is increasingly improving to make them easier for users to access. Medical institutions seeking to incorporate IoT services into cloud health care environment services are trying to reduce hospital operating costs and improve service quality, but have not yet been fully supported. In this paper, a patient information collection model from hospital IoT system, which has established a cloud environment, is proposed. The proposed model prevents third parties from illegally eavesdropping and interfering with patients' biometric information through IoT devices attached to the patient's body at hospitals in cloud environments that have established hospital IoT systems. The proposed model allows clinicians to analyze patients' disease information so that they can collect and treat diseases associated with their eating habits through IoT devices. The analyzed disease information minimizes hospital work to facilitate the handling of prescriptions and care according to the patient's degree of illness.

• Journal of Christian Education in Korea
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• v.63
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• pp.221-253
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• 2020

The purpose of this study is to define the key competency as Christian(in another word: Christian key competency) and to interpret the six key competencies of the 2015 revised curriculum in a Christian educational way. Also as an alternative to the key competencies model of the 2015 revised curriculum, this study aims to materialize the formation of a Christian key competencies model based on Christian faith. This study derived 'faith' from the key competencies as Christian throughout preceding research analysis. The 'faith' of the key competencies as Christian means the ability to know oneself, and to know the world and God within the knowledge of the Bible (knowledge of God) in the personal relationship with God, and also it is the ability to think, judge, and act with biblical values, Christian world view, and Christian self-identity. The key competency 'faith' could be the basis (standard) of motivation, attitude and the value of all competencies in cultivation and exercise. The model of Christian key competencies has the structure in which each six key competencies become to be cultivated based on the Christian key competency called "faith." Based on the structure, the six key competencies of the 2015 revised curriculum were interpreted and explained from the perspective of Christian education. In the self-management competency, self-identity can be correctly formed in relations with transcendent God. In aesthetic emotional competency, the empathic understanding of human beings comes from the understanding of the image of God, the supreme beauty, the source of beauty. About the community competency, human community is the source of God who created the universe, human and all of things. It is because a Christian community is a community within the relationship of Trinity God, Nature and others. Therefore regions, countries, and the world become one community. Communication competency first stem from good attitudes toward yourself and others with respectful mind. It comes from an understanding of Christian human beings. Also, there is a need of having a common language for communications. The common language is the Bible that given to us for our communicative companionship. Through the language of the Bible, God made us to know about God, human being and the creative world, and also made us to continue to communicate with God, others and the world. For having the knowledge-information processing competency, a standard of value for the processing and utilization of knowledge and information is required. The standard should be the basis of moral and ethical values for human respect. About creative thinking competency, the source of creativity is God who created the world. Human beings who have the image of God own creative potential. As well as, creativity has different expression forms depending on individual preferences and interests, and different approaches will be made depending on each individual's importance and achievement. Individual creativity can be found through education, and it can be embodied by converging knowledge, skills and experience.

• 한국노년학
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• v.30 no.4
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• pp.1429-1444
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• 2010

The purpose of this study was to examine the impact of elderly people's difficulties in emotional regulation on their quality of life and to suggest possible ways of improving their emotional regulation. The subjects in this study were 345 senior citizens who participated in community education programs and used senior centers. A survey was conducted in person, and the instrument used to check their difficulties in emotional regulation was Gratz & Roemer(2004)'s inventory that was rearranged to serve the purpose of this study. When a factor analysis was carried out, their emotional regulation difficulties were categorized into five factors, which were respectively named troubles in emotional response handling, difficulties in accurate emotional awareness, difficulties in emotional coping, and difficulties in emotional reception. The findings of the study were as follows: First, the senior citizens were different from one another in emotional regulation difficulties according to their personal characteristics involving gender, income, financial state, hospitalization experience over the past three months, and presence or absence of disease. Second, their quality of life significantly varied with gender, age, presence or absence of spouse, form of residence, education, income, financial state, hospitalization experience and presence or absence of disease. Third, as a result of investigating the influence of their emotional regulation difficulties on the overall quality of life, a better quality of life was found among those who were male and who had an income and suffered from fewer diseases. And a lower quality of life was found among the senior citizens who faced difficulties in emotional response handling, who had difficulties in emotional control and who lagged behind in terms of emotional coping. Accordingly, the emotional regulation difficulties of the senior citizens could be said to be closely linked to their quality of life. Given the findings of the study, in which way elderly people could be helped to improve their emotional regulation in consideration of their own personal characteristics was discussed, and how to classify their emotional regulation difficulties from various angles to relieve them of the troubles was suggested.

• Journal of KIISE:Software and Applications
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• v.34 no.10
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• pp.918-928
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• 2007

The goal of this paper is to propose a new way to register CDA documents in CDR (Clinical Document Repository) that is proposed by the author earlier. One of the methods is to use a manifest archiving for seamless references and visualization of CDA related files. Another method is to enhance the CDA security level for supporting pseudonymization of CDA. The former is a useful method to support the bundled registration of CDA related files as a set. And it also can provide a seamless presentation view to end-users, once downloaded, without each HTTP connection. The latter is a new method of CDA registration which can supports a do-identification of a patient. Usually, CDA header can be used for containing patient identification information, and CDA body can be used for diagnosis or treatment data. So, if we detach each other, we can get good advantages for privacy protection. Because even if someone succeeded to get separated CDA body, he/she never knows whose clinical data that is. The other way, even if someone succeeded to get separated CDA header; he/she doesn't know what kind of treatment has been done. This is the way to achieve protecting privacy by disconnecting association of relative information and reducing possibility of leaking private information. In order to achieve this goal, the method we propose is to separate CDA into two parts and to store them in different repositories.

• Korean Public Health Research
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• v.44 no.4
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• pp.99-109
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• 2018

Objective : Health literacy (HL) is, defined as "the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions." Being old is one of the main risk factors with limited health literacy. This study aims to adapt Chew's health literacy scale into the Korean language and validate the scale for the use of the elderly. Methods : Data were drawn from the '2016 Seoul Survey on Elderly Health and Functional Assessment, which includes a total of 725 people aged 60 to 79. The sample was randomly divided into two groups for reliability and validity tests of the modified Chew's scale of 8 items. The Korean version of the questionnaire was developed by group translation, expert reviews, and forward-backward translation. Exploratory and confirmatory factor analyses were conducted to assess and validate the factor structure of the scale. Results : Results suggest the two-factor structure ("Understanding" and "Applying" of HL) with 8 items. Exploratory factor analyses of the first sample (n=400) revealed that the internal reliability of the scale was high (Cronbach's ${\alpha}=.904$). Principal axis factoring extracted two factors ("Understanding" and "Applying" of HL) and explained 78.3% of total variance (KMO=.872, Bartlett's ${\chi}^2=2431.3$, df=28, p<.001). Confirmatory factor analysis of the second sample (n=325) was performed and the two-factor model was supported (GFI=.960, CFI=.979, TLI=.969, RMSEA=0.075). Conclusions : This study provides evidence for adequate criterion and validity of the health literacy scale for the community dwelling elderly in Korea.