• 한국문헌정보학회지
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• 제44권2호
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• pp.29-50
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• 2010

본 연구는 미국 켄터키 주에 소재한 머레이 주립대(Murray State University)가 제공하고 있는 주제별 맞춤형 정보제공(Library on Blackboard) 시스템의 기능들을 중심으로 현존하는 대학도서관 서비스가 온라인상에서 어떠한 정보기술을 통해 변형되어 제공될 수 있는지를 살펴보았다. 정보기술의 발달로 인하여 미국 대학교육에서 온라인 강의와 원거리 교육의 비중이 점점 늘어나는 추세이다. LMS(Learning Management System)는 새로운 대학 환경변화의 중요한 도구이다. 대학도서관의 정보제공 기능도 대학교육 환경의 변화에 발맞추어 발전해 왔고, 이에 따라 이용자에게 효과적인 서비스를 제공하기 위한 LMS와 연계한 맞춤형 정보검색 시스템을 개발하기에 이르렀다. LMS와 연계한 도서관 서비스는 학생들의 연구형 과제해결을 위한 정보수집에 적합한 검색시스템과 유용한 정보들을 한곳에 모은 가상 분관의 기능을 제공하기에 더욱 사용되고 발전해야 한다. 이 시스템을 더욱 발전시키기 위해서는 Contents Management Systems의 사용과 과목별 접근방식으로 변환이 중요하다.

• 전자통신동향분석
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• 제35권5호
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• pp.14-29
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• 2020

The 6G mobile communication system will become a backbone infrastructure around 2030 for the future digital world by providing distinctive services such as five-sense holograms, ultra-high reliability/low-latency, ultra-high-precision positioning, ultra-massive connectivity, and gigabit-per-second data rate for aerial and maritime terminals. The recent remarkable advances in machine learning (ML) technology have recognized its efficiency in wireless networking fields such as resource management and cell-configuration optimization. Further innovation in ML is expected to play an important role in solving new problems arising from 6G network management and service delivery. In contrast, an approach to apply ML to a physical-layer (PHY) target tackles the basic problems in radio links, such as overcoming signal distortion and interference. This paper reviews the methodologies of ML-based PHY, relevant industrial trends, and candiate technologies, including future research directions and standardization impacts.

• 디지털산업정보학회논문지
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• 제7권1호
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• pp.85-93
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• 2011

2010 trend of Web services is Social Network Service. What does Social Network Service are like this? What could really be used? I also take advantage of future can I do? To elicit answers to the question of Social Network Service and the overall status of the root is used in the case Learn about the current utilization plan after the proposed research. The use of practices being applied to Social Network Service, the three theories were derived positive and negative aspects. Research based on more than the utilization of Social Network Service to build a social safety net to take advantage and use of learning aids were divided into suggestions. Utilized for building a social safety net, and when the reported channel to channel, the use of learning aids to learning that one day, one-on learning by applying the proposed total of four kinds of utilization.

• 보건의료산업학회지
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• 제7권4호
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• pp.33-47
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• 2013

The purpose of this study is to identify the important factors of education service quality and to develop the evaluation instrument in learning facilities for care workers. This study was processed as four steps. First, the important factors were confirmed through literature reviews and the expert board discussions. Second, the evaluation instrument was developed and validity & reliability of the instrument were checked by factor analysis and Cronbach's ${\alpha}$. Lastly, the instrument was rechecked by the expert board in language usages and importance of the items. The results indicated that the important quality factors were divided with infrastructure and service process. Especially, the process contained providing appropriate education information & counseling, providing appropriate contract & paying fees, keeping specified service principles and so on. The study instrument was developed with 28 items. This instrument will be helpful to improve the education service quality. Besides, the staffs must continuously try to improve and manage their education services using the results of this kind of evaluation instrument.

• International Journal of Computer Science & Network Security
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• 제21권8호
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• pp.353-359
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• 2021

Information technology and the need for timely and effective communication during the Covid-19 have made most governments adopt technological approaches to provide their services. E-government services have been adopted by most governments especially in developed countries to quickly and effectively share information. This study discusses the reasons why governments in the Gulf region should develop a new model for information technology knowledge management practices. To achieve this, the author identified possible benefits of adopting information technology knowledge management practices and why most governments in the Gulf find it hard to adopt them. Knowledge management allows for learning, transfer as well as sharing of information between government organizations and citizens and with the development of technology, the effectiveness of electronic services can easily be achieved. Also, effective adoption of information technology can improve knowledge management with the help of techniques that enhance capture, storage, retrieval as well as sharing of information. The author used systematic literature review to select 28 journals and articles published post 2019. IEEE, Google Scholar and Science Direct were used to select potential studies from which 722 journals and articles were selected. Through screening and eligibility assessment, 21 articles were retained while the back and forward search had 7 more articles which were also included in the study. Using information gathered from these articles and journals a new conceptual model was developed to help improve information technology knowledge management for governments in the Gulf region to effectively deliver e-services during Covid-19. This model was developed based on the process of KM, Theory of Planned Behavior and Unified Theory of Acceptance and Use of Technology. Based on the developed model. From UTAUT model, performance expectancy, effort expectancy as well as social influence had a great impact.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.67-75
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• 2022

Recently, e-learning has been attracting significant attention due to COVID-19. However, while e-learning has many advantages, it has disadvantages as well. One of the main disadvantages of e-learning is that it is difficult for teachers to continuously and systematically monitor learners. Although services such as personalized e-learning are provided to compensate for the shortcoming, systematic monitoring of learners' concentration is insufficient. This study suggests a method to evaluate the learner's concentration by applying machine learning techniques. In this study, emotion and gaze data were extracted from 184 videos of 92 participants. First, the learners' concentration was labeled by experts. Then, statistical-based status indicators were preprocessed from the data. Random Forests (RF), Support Vector Machines (SVMs), Multilayer Perceptron (MLP), and an ensemble model have been used in the experiment. Long Short-Term Memory (LSTM) has also been used for comparison. As a result, it was possible to predict e-learners' concentration with an accuracy of 90.54%. This study is expected to improve learners' immersion by providing a customized educational curriculum according to the learner's concentration level.

• 한국병원경영학회지
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• 제17권2호
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• pp.52-72
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• 2012

In this study, we examined the effect of customer satisfaction and switching cost on continuous use intention to suggest how organizations can retain their customers when market growth slows down and competition becomes stronger. We carefully developed and modified survey instruments through a pre-test, and subsequently surveyed 432 dental care users in Seoul and Busan areas. As a result of regression analysis, higher procedural learning switching cost, relational switching cost, and customer satisfaction were manifested in the increased continuous use intention. In contrast, higher financial switching cost and customer satisfaction with insufficient effort for information acquisition led to decreased switching intention. In addition, procedural initial switching cost and residents in Seoul led to increased switching intention. Understanding continuous use intention and switching intention is important for healthcare institutions striving to maintain market position. The findings of this study suggest a paradigm shift from conventional transactional marketing to strategic relational marketing to be effective in the healthcare environment today.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2017년도 춘계학술대회
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• pp.219-221
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• 2017

최근 오픈 콘텐츠의 성격을 가지는 MOOC(Massive Open Online Course)가 여러 대학에서 서비스되면서 대학교육의 패러다임을 변화시키고 있으며, 이와 함께 MOOC 기반 이러닝 서비스도 다양한 유형으로 발전하고 있다. 지금까지 MOOC 기반 이러닝 서비스의 질 관리는 MOOC의 유형에 관계없이 MOOC가 제공하는 일반적인 요소들을 대상으로 연구되어 왔다. 본 연구에서는 MOOC 유형별로 이러닝 서비스의 질에 영향을 미치는 요인 분석을 통해 MOOC 기반 이러닝 서비스의 질 관리를 개선하기 위한 방안을 제시한다.

• 인터넷정보학회논문지
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• 제22권5호
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• pp.27-33
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• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.

• 한국전자통신학회논문지
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• 제15권6호
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• pp.1099-1104
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• 2020

인터넷을 기반으로 다양한 종류의 응용 서비스들을 제공하기 위해서 각 흐름 별로 서비스 품질을 보장하는 것은 이상적이지만, 이를 실현하는 것은 매우 어려운 일이다. 서비스 품질 요구조건이 같거나 비슷한 여러 흐름들을 동일한 그룹으로 지정하고, 그룹별로 서비스 품질을 제공하는 방안이 효율적이다. 라우터에서 적용되는 큐 관리 메커니즘은 데이터의 효율적으로 전송하고, 서비스 별로 차별화된 서비스 품질을 지원하기 위하여 매우 중요한 역할을 수행한다. 다양한 멀티미디어 서비스를 효율적으로 지원하기 위해서 지능적이고 적응적인 큐 관리 메커니즘 기능이 필요하다. 본 논문은 일정 기간 유입되는 각 흐름 그룹의 트래픽 정보와 현재의 네트워크 상태 정보를 기반으로 그룹별 패킷의 전달 여부를 결정하는 심층강화학습 기반의 지능형 큐관리 메커니즘을 제안한다.