• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.520-528
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• 2015

This study is intended to find out pre-service teachers' perceptions of effective teaching behaviors. 89 pre-service teachers observed teaching demonstrations of each other and rated the degree of importance of teaching behaviors and their own performance level. It was found that Class Operations received the highest score in both the importance and performance levels, followed by Lesson Organizations and Verbal Expressions. However, they considered Gesture and Clothing as well as Facial Expressions and Gaze less important. The results of t-tests showed that the differences between the importance and performance levels for all five areas were statistically significant. The results of importance-performance analysis indicated that Verbal Expressions, Eye Contacts, Time Control, and Emphasis on Important Contents are the factors which need to be improved for effective teaching.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.194-206
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• 2020

This study aims at creating a daily life satisfaction improvement plan by using motivation for seeking need for rehabilitation services and self-efficacy in individuals who returned-to-work and reemployed injured workers. The subjects of this study were 2,642 returnees and 3,742 reemployed individuals who participated in the first to fifth year survey of the first cohort of the Panel Survey of Workers' Compensation Insurance. The analysis checked the mediating effect through the multiple regression analysis and bootstrapping. The result indicated the need for rehabilitation services had negative impact on self-efficacy and daily life satisfaction whereas self-efficacy had a positive effect on daily life satisfaction and played a mediating role between the need for rehabilitation services and daily life satisfaction. Based on these results, a need for the advancement of social psychological rehabilitation program and establishing an integrative rehabilitation process were identified.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.77-91
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• 2004

The standardization of learner information is needed for exchanging learner information in e-learning system with another educational institution. And also it is needed for providing customized educational service to the learner's characteristics. The purpose of this study is to develop standardization model of learner information that is focused learner's characteristics and performance in higher educational situation. Earlier researches related to the standardization of learner information are analyzed and added some ideas from instructional theory for dealing with meaningful information about learners. The draft standardization model of learner information with 33 of items in 3 areas is proposed. For the validation of this model proposed, we surveyed from 26 of universities that have been experienced e-learning service. It was divided into mandatory and optional items to the result of the survey.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.59-67
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• 2018

There are not that many m-health related services limited to the elderly. Many of the elderly who are at risk of dementia are unfamiliar to smart devices, so it is required to design an user-customized App. Therefore, I design and embody a mobile voice alert integrated app, which enables voice input to increase the accessibility of the elderly, so as to prevent diseases caused by declined cognitive function such as dementia. I conducted interviews and questionnaire after having the students use the app in Lifelong Education Center in H region of Gyeongbuk, and the analysis result has showed the high satisfaction. It is expected that it will be able to play a key role for M-Health service for the elderly since it is possible to prevent dementia through the voice health care alert app. I would like to learn deep learning in the future to predict the life patterns and the possibility of dementia of the elderly.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.295-300
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• 2017

The study evaluates exploration of social robot's role which can emotionally communicate with human as an alternative to heal psychological isolation for single-person households. At first, I conduct a study on literatured to understand the definition and characteristics of social robot then analyze the current situation and future prospects. Based on this, I organized the requirements of social robot in aspect of user experience through in-depth interview of twenties single-person households living in the metropolitan area who could be potential customers. As a result every subject require social robot specialized to them through accumulated interaction. On the other hand, degree of attachment with social robot is different from subjects. Hear by I realize every subject require social robot to different and various functions according to their lifestyle and personality. Therefore I could draw conclusions and implications from this study that technical development in aspect of personalized user experience is necessary for social robot to settle in to human's life in the future.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.451-459
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• 2017

This study investigates the usage of smartphones in English listening activities. 71 students answered the 10-item questionnaire after doing listening activity using their own smartphone for one semester in the course of Practical English listening and reading. The findings show that listening activity done with smartphone enhanced students' interest in English listening and improved their English listening skills because smart phones made customized learning possible. However, the major limitation of using smart phone is that students are distracted during activity by smart phones' other functions such as SMS and messenger. To reduce such distraction, I suggest that individual listening activity with smart phones be mixed with instructor-led activity using a classroom computer in about 50 to 50 ratio. The ratio might vary depending on the level of students' English listening skills. These findings will make a contribution to the boost of digital convergence English learning.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.511-516
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• 2018

This study examined the effectiveness of a short thumb splint and a glove type splint which combined features of a fitness glove in order to improve hand function and performance of functional task after traumatic brain injury. One subject with traumatic brain injury participated in this study and wore a short thumb splint and customized glove type splint. His hand function was significantly improved when comparing to that of not using those splints. In addition, using the glove type splint was more significant to perform functional tasks than using the short thumb splint. The findings of this study identified that hand function of people with traumatic brain injury was improved by using those splints as an occupational therapy service and it is necessary to adapt the customized splints according to the personal characteristics.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.9-15
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• 2009

As disease and aging increased on the map of nuclear families, the interests in protecting individual privancy and u-Healthcare has increased as well. Until now, the health management of individual medical institutions have limited their researches on the future of offline diagnostics and treatment works, time and space only to medical services. However, in the future, healthcare through mobile medical devices to real-time online personality, mobility, and bulwark where patients can receive personal health statues anywhere seems inevitable. Therefore, in this paper, the PDA based on the each individual elderly and patients that updates their physical health statues through the signal meter management system can notify both the individual and the hospital when a medical emergency occurs. Additionally, it provides relevant information on the results of measurements monitoring system.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.822-826
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• 2010

홍수피해저감 대책의 우선순위 결정은 시스템 차원에서 접근해야 한다. 홍수피해저감 사업을 분야별로 분리하여 분석하면 숲을 보지 못하고 산을 판단하는 오류를 범할 수 있다. 홍수피해 최소화를 위한 여러 전문 분야별 대안 분석도 중요하지만, 시스템 차원에서 홍수피해 저감 방안을 파악하고 대책을 수립해야 한다. 따라서 본 시스템의 개발 목적은 최적의 홍수피해저감 대책을 결정하는 데 있어 각각의 개별 정보를 공유하고, 의사결정 지원에 필요한 시스템을 구축하는 데 있다. 본 연구에서 제시한 홍수방어 대책 통합평가시스템은 수문학적 홍수분석 모형을 비롯하여 수리학적 홍수분석 모형, 의사결정지원 시스템이 통합되어 단일 시스템으로 구축되며 이를 위해서는 구체적인 사용자 요구파악과 관련 업무 프로세스 분석을 통한 전체적인 시스템 구조 설계가 중요하다. 홍수방어 대책 통합평가시스템의 핵심 요소는 1) GIS입력 모듈, 2) Fuzzy 알고리즘 모듈, 3) MCDA 알고리즘 모듈, 4) 결과표출 모듈 등 네 가지이다. 여기서 첫 번째 모듈은 GIS 입력 모듈로써 최적 방안 도출을 위한 빈도별 홍수터, 홍수심, 토지이용도 등과 같은 일련의 GIS 기초자료를 제공한다. 두 번째 단계는 퍼지화된 MCDA 모듈을 수행하기 위한 퍼지 알고리즘 및 퍼지 연산을 위한 내부 코딩이 이루어지는 단계로써 사용자 요구 사항에 따른 연산이 가능하다. 세 번째 단계는 최적 방안을 모색하는 MCDA 알고리즘과 연산 수행을 위한 세부 모듈로 구성됐다. 마지막 네 번째 단계는 모형과 DB간의 연계절차로써 사용자가 직접 운영하는 GUI 부분으로써 사용자의 요구 사항을 비롯하여 모형의 특징을 Matlab 프로그램으로 각각의 화면을 디자인한다. 이 단계에서는 모형을 수행하기 위한 DB가 구축되며 사용자의 요구에 의한 맞춤형 분석이 가능하도록 구성됐다. 통합시스템을 통한 의사결정과정의 합리성은 선택된 최적의 홍수저감대책의 사회 경제적 수용성은 물론 의사결정과정의 투명성을 높일 수 있을 것이다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.4B
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• pp.354-361
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• 2011

Increasing interest and technological advances in smart home has led to active research on context-awareness service and prediction algorithms such as Bayesian Networks, Tree-Dimensional Structures and Genetic prediction algorithms. Context-awareness service presents that providing automatic customized service regarding individual user's pattern surely helps users improve the quality of life. However, it is difficult to implement context-awareness service because the problems are that handling coincidence with context information and exceptional cases have to consider. To overcome this problem, we proposes an Intelligent Sequential Matching Algorithm(ISMA), models context-awareness service using Timed Petri-net(TPN) which is petri-net to have time factor. The example scenario illustrates the effectiveness of the Timed Petri-net model and our proposed algorithm improves average 4~6% than traditional in the accuracy and reliability of prediction.