• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.322-331
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• 2013

The purpose of the present study was to develop a convergent education contents for dementia prevention, operating on the web network applying modern information technology(IT). At the preparation stage, local and worldwide literatures related to dementia were analyzed followed by surveying industry demands, based on which the program was designed and developed. In the following enhancement stage, the program was modified as much as possible by advices obtained from experts in various fields. Development results of the present program are summarized as follows. Firstly, 645 intellect development model to prevent dementia was established through peer review and verification of convergent education theories by expert groups. This model was named as "Garisani" meaning "cognition capable of judging objects" in the Korean language. Secondly, 'Find a way' and 'Connect a line' modules were developed in the numeric field as well as 'Identify a letter(I, II)' modules, in the language field for web-based left brain training program. Thirdly, 'Find my car' and 'Vision training' modules in the attention field and 'Object inference' and 'Compare pictures' modules in the cognition field were developed for web-based right brain training program. Fourth, 'Pentomino' and 'BQmaze'(Brain Quotient and maze) modules in the space perception field and 'Visual training' in the memory field were developed for web-based left and right brains training. Fifth, all results were integrated leading to a 52 week Garisani convergent education program for dementia prevention.

• Journal of Music and Human Behavior
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• v.2 no.1
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• pp.17-33
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• 2005

Music has a vital meaning in peoples' lives, mostly as a communication medium for thoughts and feelings. Because music is nonthreatening and nonjudgmental, its viability works for everyone. The purpose of this research is firstly to compare the effectiveness of existing social rehabilitation program and music integrated social rehabilitation program for people with mental retardation. Secondly, the study purported to find out if the music integrated social rehabilitation program was effective, then how various musical activities can assist communication and expression, and further assist social interactions among the people with mental retardation. The data were collected using Emotions Assessment Tool, Social Skills Assessment, and Skills development in Music were used. Also, verbal contents, voices, gestures, nonverbal expressions were observed and analyzed. As the result, it is shown that the music integrated social rehabilitation program has enhanced communicative and expressive skills of adults with mental retardation, and further improved social interactive skills. This implies that music had positive effects to the mental patients on their social relationship activities, than the program without music integration. The results support previous findings that music can be an effective communicative and expression tool.

• Journal of Korea Game Society
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• v.7 no.2
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• pp.83-90
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• 2007

One result of the trend towards globalization is an increased number of projects that focus on natural language processing. Automatic speech recognition (ASR) technologies, for example, hold great promise in facilitating global communications and collaborations. Unfortunately, to date, most research projects focus on single widely spoken languages. Therefore, the cost to adapt a particular ASR tool for use with other languages is often prohibitive. This work takes a more general approach. We propose an International Phoneticizing Engine (IPE) that interprets input files supplied in our Phonetic Language Identity (PLI) format to build a dictionary. IPE is language independent and rule based. It operates by decomposing the dictionary creation process into a set of well-defined steps. These steps reduce rule conflicts, allow for rule creation by people without linguistics training, and optimize run-time efficiency. Dictionaries created by the IPE can be used with the speech recognition system. IPE defines an easy-to-use systematic approach that can obtained 92.55% for the recognition rate of Korean speech and 89.93% for English.

• Journal of the Korea Computer Industry Society
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• v.4 no.12
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• pp.999-1012
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• 2003

To produce quality software products, engineers must feel personally responsible for the qualify of products. Superior products are not produced by mistake; engineers must strive to do quality work. Every engineer is different and has own process improvement method. To be most effective, engineers must plan their work and they must base their plans on their own personal data. To consistently improve their performance, engineers must personally use well-defined and measured processes. The Personal Software Process(PSP) is a self-improvement process designed to help software engineers control, manage, and improve the way they work. It is a structured framework of forms, guidelines, and procedures for developing software. Properly used, the PSP provides the historical data you need to better make and meet commitments and it makes the routine elements of your job more predictable and more efficient. Then, PSP is the very useful tool to train the students in Programming Language Course. This paper is to provide the concept of PSP/TSP and the sample curriculums for Program Language Training Courses. Personal Software Process(PSP) to train students of Programming Language Courses

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.894-901
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• 2013

This study is aim to research trend of private security and to suggest direction of improvement to sector of private security. This study has been to analyzed to be useful social network analysis(particularly Degree Centrality and Clossness Centrality) for using typical research method about trend of academic subject. As a result of Degree Centrality and Clossness Centrality, Individual factors such as Job Stress and Job satisfaction of private security are more keyword than institutional factors and policy factors such as Security Services Industry Act and training for Private Security guards. It means that research trend of private security are to study Individual factors rather than institutional factors and policy factors. But, this study is a limit as follows; First, An object of study is only to searching article in National Assembly Liberary. A follow-up studies are need to expand the range of an object of study for private security.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.199-208
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• 2021

Automatic Post Editing(APE) is the study that automatically correcting errors included in the machine translated sentences. The goal of APE task is to generate error correcting models that improve translation quality, regardless of the translation system. For training these models, source sentence, machine translation, and post edit, which is manually edited by human translator, are utilized. Especially in the recent APE research, multilingual pretrained language models are being adopted, prior to the training by APE data. This study deals with multilingual pretrained language models adopted to the latest APE researches, and the specific application method for each APE study. Furthermore, based on the current research trend, we propose future research directions utilizing translation model or mBART model.

• Journal of Creative Information Culture
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• v.7 no.2
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• pp.91-98
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• 2021

As the amount of time that elementary school students spend online increased due to Corona 19, the amount of posts, comments, and chats they write increased, and problems such as offending others' feelings or using swear words are occurring. Netiquette is being educated in elementary school, but training time is insufficient. In addition, it is difficult to expect changes in student behavior. So, technical support through natural language processing is needed. In this study, an experiment was conducted to automatically filter profanity sentences by applying them to a pre-trained language model on sentences written by elementary school students. In the experiment, chat details of elementary school 4-6 graders were collected on an online learning platform, and general sentences and profanity sentences were trained through a pre-learned language model. As a result of the experiment, as a result of classifying profanity sentences, it was analyzed that the precision was 75%. It has been shown that if the learning data is sufficiently supplemented, it can be sufficiently applied to the online platform used by elementary school students.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.13-21
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• 2022

Recent deep learning-based research shows excellent performance in most natural language processing (NLP) fields with pre-trained language models. In particular, the auto-encoder-based language model proves its excellent performance and usefulness in various fields of Korean language understanding. However, the decoder-based Korean generative model even suffers from generating simple sentences. Also, there is few detailed research and data for the field of conversation where generative models are most commonly utilized. Therefore, this paper constructs multi-turn dialogue data for a Korean generative model. In addition, we compare and analyze the performance by improving the dialogue ability of the generative model through transfer learning. In addition, we propose a method of supplementing the insufficient dialogue generation ability of the model by extracting recommended response candidates from external knowledge information through a retrival model.

• Korean Journal of Child Studies
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• v.11 no.1
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• pp.87-99
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• 1990

The present study was designed to investigate the effect of altruistic TV viewing and verbal training on the altruistic behavior of preschoolers. The subjects of this study were a total of 56 boys and 57 girls from a kindergarten in Kwachon, Kyung-gi do. The subjects were assigned to one of three conditions: in the first condition subjects were shown video tapes designed to portray prosocial themes (TV modeling group) ; in the second condition subjects saw the video tapes in addition to verbal training (TV modeling plus verbal training group); in the third condition subjects received neither TV modeling nor verbal training (control group). Statistical analysis was by ANOVA and $Scherr\acute{e}$ test. Significant differences were found in altruistic behavior between the TV modeling and the TV modeling with verbal training groups.

• MALSORI
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• no.42
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• pp.47-56
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• 2001

이 글은 제2회 서울 국제 음성학 학술대회(SICOPS 2000) 기조강연 내용을 조금 손질한 것인데, 한국인 영어 학습자가 저지르기 쉬운 발음상 잘못을 모음, 자음별로 관찰하고 그 대책을 논의한다. 모음에서는 주로 i:l, u:$-\sigma$, (equation omitted) 흔동이 문제이며, 또한 90종이 넘는 여러 철자로 나타나는 쭉정모음(schwa) 식별과 정복한 발음도 큰 문제다. 자음에서는 음소 연결방식에서 생기는 자음접변 둥 한 국어 특유 현상을 영어에까지 연장하는 바람에 많은 오류가 생긴다는 것과 영어 sp-, st-, sk-에서 /p t k/는 연한소리(lenis)로 [(equation omitted)]인데, 된소리로 잘못알고 있는 수가 많다는 것도 지적된다. 무룻 영어학습자는 철자만 보고 발음을 속단하지 말고 단어마다 반드시 발음을 사전에서 확인할 것과 아울러 거기에 음성학적 훈련이 수반되어야 함을 역설하며, 정확한 발음을 아는 것은 실제 영어 청취i구사에 뿐 아니라 또한 언어연구 기초확립에 필수적이라는 말로 글을 맺는다.