• International Commerce and Information Review
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• v.4 no.1
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• pp.59-67
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• 2002

기업에 있어서 가장 기본이 되는 HRM은 다른 업무에 비해 사각 지대에 있다. HRM 부문도 기업에 미칠 정보기술에 대해서 많은 관심이 필요하며, 정보화 사회의 미래를 보며 남보다 앞서갈 수 있는 조직, 기업을 만들 기회를 선점해야 한다. 즉 생산방식의 변화, 정보화, 지식사회, 서비스산업 팽창, 경쟁의 심화, 세계화, 국제화 등 많은 수식어로 묘사되는 최근의 환경변화는 기업의 생존과 성패가 물적 자원보다는 인적자원에 더욱 의존하게 된다. 본 고에서 디지털시대에 있어서 기업의 인적자원 경쟁력의 결정적 기반이 될 수 있는 e-HRM의 기본 개념 변화, 모형 그리고 도입절차 및 성공요인에 대해 살펴보고자 한다.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.1
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• pp.72-79
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• 2012

Recently, the growth of the computer-related industries lead to the growth of the computer-aided education. Virtual training (VT) is one of the most interesting education methods. Many 3D models for the VT contents have been produced, but little research has been performed for the unified management system to promote the reuse of 3D models. This paper proposes the unified 3D model management system. The 3D model file formats are surveyed to find a format that can be easily used by many VT content production softwares. The 3D model files will be stored in a central DB server. The structure of the DB system will be designed for 3D models. The system provides an easy way to search and download a 3D model. With the proposed system, the reuse of 3D models is expected to be promoted.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.06a
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• pp.25-29
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• 2003

본 논문에서는 울진 표준형원전 시뮬레이터의 강의실용 교육훈련 시스템의 일원으로 개발된 CBT (Computer Based Training) 및 WBT (Web Based Training)에 대해 다루고 있다. CBT는 발전소 시뮬레이션, 노심 다이나믹스, 중대사고, 비상발령 및 증기발생기 열변환 과정으로 구성되어 있다. Simulator Operation 기능을 이용하면 강사는 강사조작 메뉴를 통하여 시뮬레이터를 조작을 할 수 있고, Sim-Diagram 등 각종 화면을 보여줄 수 있다. 중대사고는 모의사고에 의해 구축된 데이터를 근거로 하여 개발되었으며, 방사선 비상등급에 따라 백색비상, 청색비상, 적색비상으로 구성된 비상발령은 각 발령의 발령상황 등을 Open Window를 통하여 볼 수 있도록 하였다. 한편 WBT는 강사와 교육생이 강의실 이외의 장소에서 시간과 공간의 제약을 벗어나서 원격교육이 가능하도록 구축한 웹서버 환경이다. 현재는 기존에 구축된 강사들의 홈페이지를 Intra-Net환경에서 접근이 가능하도록 링크된 상태에 있다. 향후에는 일부내용에 대해서는 원격으로 강의가 가능하도록 다양한 컨텐츠를 개발할 예정이며, 현재는 발전소 운전과 관련한 교육자료, 각종 동영상 및 이미지, 각종교재 등에 대한 DB 구축을 준비중에 있다

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.89-93
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• 2017

As the cost of installing and maintaining software on large organizations such as recent companies and schools has increased, software installation and maintenance costs are low, system management is easy, demand for ease of use software solutions has increased. In the reality that special education for service center engineers is required along with the release of various products, training of the software and solution industry is regarded as important. Building Web-based user and system interactive environment, strengthened usability and educational ability effect suitable for engineer level. In the future, research that is familiar with specific software, not successfully combining multiple frameworks, rather than developers, will be increasingly important for research that can achieve optimal performance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.669-677
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• 2020

As the number of Internet users exploded, attacks on the web increased. In addition, the attack patterns have been diversified to bypass existing defense techniques. Traditional web firewalls are difficult to detect attacks of unknown patterns.Therefore, the method of detecting abnormal behavior by artificial intelligence has been studied as an alternative. Specifically, attempts have been made to apply natural language processing techniques because the type of script or query being exploited consists of text. However, because there are many unknown words in scripts and queries, natural language processing requires a different approach. In this paper, we propose a new classification model which uses byte pair encoding (BPE) technology to learn the embedding vector, that is often used for web attack payloads, and uses an attention mechanism-based Bi-GRU neural network to extract a set of tokens that learn their order and importance. For major web attacks such as SQL injection, cross-site scripting, and command injection attacks, the accuracy of the proposed classification method is about 0.9990 and its accuracy outperforms the model suggested in the previous study.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.455-462
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• 2001

The World Wide Web has become one of the major services provided through Internet. When searching the vast web space, users use bookmarking facilities to record the sites of interests encountered during the course of navigation. One of the typical problems arising from bookmarking is that the list of bookmarks lose coherent organization when the the becomes too lengthy, thus ceasing to function as a practical finding aid. In order to maintain the bookmark file in an efficient, organized manner, the user has to classify all the bookmarks newly added to the file, and update the folders. This paper introduces our learning agent called BClassifier that automatically classifies bookmarks by analyzing the contents of the corresponding web documents. The chief source for the training examples are the bookmarks already classified into several bookmark folders according to their subject by the user. Additionally, the web pages found under top categories of Yahoo site are collected and included in the training examples for diversifying the subject categories to be represented, and the training examples for these categories as well. Our agent employs naive Bayesian learning method that is a well-tested, probability-based categorizing technique. In this paper, the outcome of some experimentation is also outlined and evaluated. A comparison of naive Bayesian learning method alongside other learning methods such as k-Nearest Neighbor and TFIDF is also presented.

• Therapeutic Science for Rehabilitation
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• v.12 no.3
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• pp.7-18
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• 2023

Objective : This study aimed to confirm the research characteristics by analyzing the literature that applied the school readiness programs for children with disabilities. Methods : Studies were collected from the PubMed, Embase, Web of Science, and Research Information Sharing Service databases. The key terms were "School readiness" AND ("Occupational Therapy" OR "Rehabilitation") in English and Korean. Total eight articles were selected through the selection and exclusion criteria. Results : The programs included multi-type training, motor skill training, parent training, and mobile application training. The providers were psychologists, occupational therapists, physical therapists, speech pathologists, community workers, educators, and the psychologists who conducted most of the research. The program factors can be classified into academic function, motor function, social function, parental training, and others. Academic and social functions accounted for the largest proportion of the respondents. The intervention improved multiple skills, literacy, parenting skills, and gross fine motor function. Conclusion : This study aimed to provide basic data for school-based occupational therapy by analyzing school readiness programs for children with disabilities. Recently, interest in and research on school readiness has increased. Occupational therapists should also establish their roles in the field of school-related rehabilitation and provide various school-based occupational therapies.

• Safety and Health at Work
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• v.10 no.1
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• pp.95-102
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• 2019

Background: In a cluster-randomized trial, the Safety and Health Involvement For Truck drivers intervention produced statistically significant and medically meaningful weight loss at 6 months (-3.31 kg between-group difference). The current manuscript evaluates the relative impact of intervention components on study outcomes among participants in the intervention condition who reported for a post-intervention health assessment (n = 134) to encourage the adoption of effective tactics and inform future replications, tailoring, and enhancements. Methods: The Safety and Health Involvement For Truck drivers intervention was implemented in a Web-based computer and smartphone-accessible format and included a group weight loss competition and body weight and behavioral self-monitoring with feedback, computer-based training, and motivational interviewing. Indices were calculated to reflect engagement patterns for these components, and generalized linear models quantified predictive relationships between participation in intervention components and outcomes. Results: Participants who completed the full program-defined dose of the intervention had significantly greater weight loss than those who did not. Behavioral self-monitoring, computer-based training, and health coaching were significant predictors of dietary changes, whereas behavioral and body weight self-monitoring was the only significant predictor of changes in physical activity. Behavioral and body weight self-monitoring was the strongest predictor of weight loss. Conclusion: Web-based self-monitoring of body weight and health behaviors was a particularly impactful tactic in our mobile health intervention. Findings advance the science of behavior change in mobile health intervention delivery and inform the development of health programs for dispersed populations.

• The Journal of Korean Association of Computer Education
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• v.17 no.2
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• pp.53-64
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• 2014

The purpose of the study is to develop a scale for measuring learning outcomes in the distance teacher training programs. In order to develop the measurement instrument, the forty-four items were developed based on the literature review and ten experts' review. For data collection, a web-based survey was conducted among teachers taking a distance teacher training program at National Education Training Institute. With the data of 205 sample size from the first survey, the Exploratory Factor Analysis was conducted and seven factors were identified. In order to validate the test, the Confirmatory Factor Analysis was performed with 293 respondents from the second survey. In conclusion, this study reports the reliability and validity of a scale for learning outcomes in distance teacher training programs consisting of seven factors with 34 items; 1) system quality, 2) content quality, 3) service quality, 4) use, 5) benefit, 6) satisfaction, 7) transfer.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.23-41
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• 2021

Objective : The purpose of this study was to analyze the effects of simultaneous dual-task training to assess executive function in older adults. Methods : We searched the PubMed, EMBASE, Cochrane, Web of Science, and RISS databases of publicated studies in the past decade. Seven studies were selected based on the inclusion and exclusion criteria. Qualitative assessment and meta-analysis were performed for the seven studies. Results : A randomized controlled trial design was used in the selected studies, and PEDro Scores above seven were obtained. The Trial Making Test (TMT) evaluated the effects of dual-task training on executive function in four studies. The Color Trail Test (CTT) was used in two studies, and Stroop test was used in three studies. The effect size for total executive function was 0.38, which was small. The effect sizes for TMT and CTT were 0.37. Stroop Test was 0.34, demonstrating that their effect sizes were also small. Only significant effects in total executive function, TMT, and CTT showed significant effects (all p<0.05). Conclusion : This study confirmed that dual-task training was effective in improving executive function in older adults. To improve the effectiveness of dual-task training, the difficulty of the dual-task training should be considered. It is also necessary to implement assessments that can evaluate performance under dual-task conditions as well as conventional test tools for executive function. In the future, dual-task training could be used as an appropriate intervention for executive function in older adults to delay the onset of dementia.