• 제목/요약/키워드: 인터넷 기반교육

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Distributed Edge Computing for DNA-Based Intelligent Services and Applications: A Review (딥러닝을 사용하는 IoT빅데이터 인프라에 필요한 DNA 기술을 위한 분산 엣지 컴퓨팅기술 리뷰)

  • Alemayehu, Temesgen Seyoum;Cho, We-Duke
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.12
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    • pp.291-306
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    • 2020
  • Nowadays, Data-Network-AI (DNA)-based intelligent services and applications have become a reality to provide a new dimension of services that improve the quality of life and productivity of businesses. Artificial intelligence (AI) can enhance the value of IoT data (data collected by IoT devices). The internet of things (IoT) promotes the learning and intelligence capability of AI. To extract insights from massive volume IoT data in real-time using deep learning, processing capability needs to happen in the IoT end devices where data is generated. However, deep learning requires a significant number of computational resources that may not be available at the IoT end devices. Such problems have been addressed by transporting bulks of data from the IoT end devices to the cloud datacenters for processing. But transferring IoT big data to the cloud incurs prohibitively high transmission delay and privacy issues which are a major concern. Edge computing, where distributed computing nodes are placed close to the IoT end devices, is a viable solution to meet the high computation and low-latency requirements and to preserve the privacy of users. This paper provides a comprehensive review of the current state of leveraging deep learning within edge computing to unleash the potential of IoT big data generated from IoT end devices. We believe that the revision will have a contribution to the development of DNA-based intelligent services and applications. It describes the different distributed training and inference architectures of deep learning models across multiple nodes of the edge computing platform. It also provides the different privacy-preserving approaches of deep learning on the edge computing environment and the various application domains where deep learning on the network edge can be useful. Finally, it discusses open issues and challenges leveraging deep learning within edge computing.

Design of Geo-fence-based Smart Attendance System (지오펜스 기반 스마트 출결시스템 설계)

  • Hong, Seong-Pyo;Kim, Tae-Yeun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.496-502
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    • 2020
  • The electronic attendance management system is being introduced and operated on a pilot basis by some universities and educational institutions. However, most of the related systems have installed and operated the existing barcode and magnetic card systems. Classroom attendance is managed by introducing RF cards, but it causes problems such as recognition distance (less than 5cm) and the need for a check process in which students have to read the card each time with a reader for attendance. Also, it is not possible to respond in real time to the situation of midterm (early leave, absence from the second lecture time, etc.) because it is used in the lecture time of one subject with the record checked once. In order to solve these problems, the various mobile attendance systems proposed to solve these problems are also unable to fundamentally solve problems such as interim attendance and proxy attendance because they check attendance using only the application of a smartphone. In this paper, we use geofencing technology, which is a positioning-based technology that detects the entry and exit of people, objects, etc. in areas separated by virtual boundaries. The proposed system solves the problem of intermediate attendance and alternate attendance by setting the student to automatically record the access record when entering and leaving the classroom set as a geofence with a smartphone. In addition, it also provides a function to prevent unintentional mistakes that occur through the smartphone by limiting some of the functions of the smartphone such as silence, vibration, and Internet use when entering the classroom.

Development and Application of ICT Teaching$\cdot$Learning Process Plan for Environmentally Friendly Housing - For an Academic Girl's High School in Gwangju Metropolitan City - (ICT를 활용한 "환경친화적 주거" 교수$\cdot$학습과정안 개발 및 적용 - 광주광역시 인문계 여자고등학교 학생을 대상으로 -)

  • Lee Seon-Hee;Cho Jae-Soon
    • Journal of Korean Home Economics Education Association
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    • v.17 no.4 s.38
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    • pp.101-115
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    • 2005
  • The purpose of this research was to develop and applicate In based teaching$\cdot$learning process plan for Environmentally friendly Housing. The 3 main stages of process were used: analyses, planning & development, and application & evaluation. Three teaching subjects were selected to teach Environmentally friendly housing in the analysis stage. The webhard learning environment was consisted of contents and various materials such as digital video, PPT, group activity, discussion, individual and group reporting forms, and questions. The number of 101 high school students participated for the application stage during september 22-27, 2003. Most of all students evaluated very positively the various aspects of contents as well as LT cooperative learning methods md the web based learning environment. They strongly expressed to practice the practical ways of Environmentally friendly housing learned in the class in the future. The results imply that the contents and In teaching learning plan developed in this study seem to be adequate to be included in the regular text.

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Exploring the 4th Industrial Revolution Technology from the Landscape Industry Perspective (조경산업 관점에서 4차 산업혁명 기술의 탐색)

  • Choi, Ja-Ho;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.47 no.2
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    • pp.59-75
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    • 2019
  • This study was carried out to explore the 4th Industrial Revolution technology from the perspective of the landscape industry to provide the basic data necessary to increase the virtuous circle value. The 4th Industrial Revolution, the characteristics of the landscape industry and urban regeneration were considered and the methodology was established and studied including the technical classification system suitable for systematic research, which was selected as a framework. First, the 4th Industrial Revolution technology based on digital data was selected, which could be utilized to increase the value of the virtuous circle for the landscape industry. From 'Element Technology Level', and 'Core Technology' such as the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Robot, 'Peripheral Technology', Virtual or Augmented Reality, Drones, 3D 4D Printing, and 3D Scanning were highlighted as the 4th Industrial Revolution technology. It has been shown that it is possible to increase the value of the virtuous circle when applied at the 'Trend Level', in particular to the landscape industry. The 'System Level' was analyzed as a general-purpose technology, and based on the platform, the level of element technology(computers, and smart devices) was systematically interconnected, and illuminated with the 4th Industrial Revolution technology based on digital data. The application of the 'Trend Level' specific to the landscape industry has been shown to be an effective technology for increasing the virtuous circle values. It is possible to realize all synergistic effects and implementation of the proposed method at the trend level applying the element technology level. Smart gardens, smart parks, etc. have been analyzed to the level they should pursue. It was judged that Smart City, Smart Home, Smart Farm, and Precision Agriculture, Smart Tourism, and Smart Health Care could be highly linked through the collaboration among technologies in adjacent areas at the Trend Level. Additionally, various utilization measures of related technology applied at the Trend Level were highlighted in the process of urban regeneration, public service space creation, maintenance, and public service. In other words, with the realization of ubiquitous computing, Hyper-Connectivity, Hyper-Reality, Hyper-Intelligence, and Hyper-Convergence were proposed, reflecting the basic characteristics of digital technology in the landscape industry can be achieved. It was analyzed that the landscaping industry was effectively accommodating and coordinating with the needs of new characters, education and consulting, as well as existing tasks, even when participating in urban regeneration projects. In particular, it has been shown that the overall landscapig area is effective in increasing the virtuous circle value when it systems the related technology at the trend level by linking maintenance with strategic bridgehead. This is because the industrial structure is effective in distributing data and information produced from various channels. Subsequent research, such as demonstrating the fusion of the 4th Industrial Revolution technology based on the use of digital data in creation, maintenance, and service of actual landscape space is necessary.

An Analysis on the Demand of Rural Settlement Support Services for Rural Residents (경북 울진군 기성면 척산리 중심의 농촌정주지원 서비스 요구사항 분석)

  • Choi, Yoon-Ji;Hwang, Jeong-Im;Kim, Young;Park, Gwang-Rae
    • Proceedings of the Korean Society of Community Living Science Conference
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    • 2009.09a
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    • pp.106-106
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    • 2009
  • 영국에서는 농촌문제의 심각성과 범정부적 대책 마련에 대한 부처간 인식 공유가 증가함에 따라 2000년 "농촌백서"에 '농촌서비스 표준화(Rural Services Standard, RSS)'를 제정하였다. RSS는 농촌 주민의 삶의 질 제고와 복지 서비스 향상을 위해 달성할 주요 서비스의 National Minimum을 의미한다. 매년 RSS 운용에 대한 지속적인 모니터링을 통하여 내용을 매년 업데이트 하고 있다. 교육 및 아동서비스, 광대역 통신, 사회적 돌봄, 우체국 서비스, 보건, 인터넷 접속, 긴급 서비스, 교통의 8개분야 13개 서비스 기준을 설정 제시하고 있다. 우리의 경우도 농촌 주민의 삶의 질 향상을 위한 범정부적 투자가 이루어져 왔지만 농촌지역의 사회서비스 기준을 도시와 비교해 보면 아직도 부족한 부분이 많이 있다. 농촌 인구가 감소되고 있는 상황에서 지속적인 하드웨어 중심적 투자에 대한 의문제기와 함께 농촌 주민들이 최소한의 공적 서비스를 활용할 수 있는 기반이 되어야한다는 의견이 대립되고 있는 가운데 그 해결책을 찾기 위하여 '농촌 서비스 기준'을 설정하자는 논의가 추진되고 있다. 이에 본 연구에서는 인구 5만 이상 군지역에 속하는 경상북도 울진군 기성면 척산리를 중심으로 농촌 정주지원 서비스 요구사항을 분석하였다. 척산리에는 총가구 187호 363명이 거주하고 있으며 지난 3년간 인구 이동이 전혀 없었다. 주민들의 연령대는 50~60대가 가장 많으며 척산 3리가 가장 고령화 되어 있는 것으로 나타났다. 교통 환경은 좋은 편이었는데 기성공용버스 정류장에 10곳 이상의 차편이 있고 7번 국도가 있어 타 지역으로 이동도 용이하였다. 마을에 보건/의료를 담당하는 곳은 보건진료소뿐이었으며 잦은 외근과 구급약 부족 등으로 불편을 호소하고 있었다. 응급상황 발생시 수송 가능한 응급체계는 갖춰져 있지 않았고 노인들이 가장 많이 이용하는 물리 치료실은 일주일에 3번 개방하기에 불편하다고 하였다. 3층 건물의 복지회관이 있으나 장날(5일장; 1일, 5일)만 개방되어 이용에 한계가 있었고 마을주민을 위해 운영되는 프로그램은 없었다. 논농사 중심의 경제생활이었고, 부녀회와 청년회 등은 면단위 또는 행정리로 묶어서 운영하고 있었다. 주민들은 울진군 면소재지 중 척산리에만 약국이 없어 불편한 사항이 많기에 약국, 물리치료실의 상시 개방을 필요로 하였으며 장날을 이용한 노인대상 영화상영, 강연회 등 다양한 문화프로그램 운영을 희망하였다.

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A Method of Mining Visualization Rules from Open Online Text for Situation Aware Business Chart Recommendation (상황인식형 비즈니스 차트 추천기 개발을 위한 개방형 온라인 텍스트로부터의 시각화 규칙 추출 방법 연구)

  • Zhang, Qingxuan;Kwon, Ohbyung
    • The Journal of Society for e-Business Studies
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    • v.25 no.1
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    • pp.83-107
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    • 2020
  • Selecting business charts based on the nature of the data and the purpose of the visualization is useful in business analysis. However, current visualization tools lack the ability to help choose the right business chart for the context. Also, soliciting expert help about visualization methods for every analysis is inefficient. Therefore, the purpose of this study is to propose an accessible method to improve business chart productivity by creating rules for selecting business charts from online published documents. To this end, Korean, English, and Chinese unstructured data describing business charts were collected from the Internet, and the relationships between the contexts and the business charts were calculated using TF-IDF. We also used a Galois lattice to create rules for business chart selection. In order to evaluate the adequacy of the rules generated by the proposed method, experiments were conducted on experimental and control groups. The results confirmed that meaningful rules were extracted by the proposed method. To the best of our knowledge, this is the first study to recommend customizing business charts through open unstructured data analysis and to propose a method that enables efficient selection of business charts for office workers without expert assistance. This method should be useful for staff training by recommending business charts based on the document that he/she is working on.

A study on the Private Investigator usage for Cyber Crime (사이버범죄의 효과적인 대응을 위한 민간조사제도의 도입방안)

  • Shin, Hyun-Joo
    • Korean Security Journal
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    • no.46
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    • pp.63-86
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    • 2016
  • The object of this study is to propose a study on the Private Investigator usage for Cyber Crime. The latest trend of cyber crime is being evolve in sophisticated and complex way over the global, like internet fraud, cyber gambling, hacking and etc. Hence national investigative authority mobilize high specialized skills and method of criminal investigation by each nation. But it is hard to respond in rapid and effective way because of propoor, distribution of group and insufficient of related legal system. Already in other countries, not considerable amount of services are given to private investigators in detection and tracking part which is inefficient by nation. So it has significantly meaningful to compensate the defect and study about private investigator usage as companion of cooperation policing for effectively respond to cyber-crime. The way to effectively deal with the cyber-crime is reevaluate meaning of partnership policing and need of private investigator usage. Also it is to analyze the main issue about introduction of a system and suggest the effective way of introduction. First, legislation of private investigator usage which is based upon partnership policing should be made up. Moreover, to establish the range of private investigator's business and enhance the reliability, it is to propose introduction of leading professional global certificate and license system with sufficient education and test. We are expecting introduction of private investigator usage can improve efficiency of investigation and promote effective countermeasures of cyber-crime.

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Metadata extraction using AI and advanced metadata research for web services (AI를 활용한 메타데이터 추출 및 웹서비스용 메타데이터 고도화 연구)

  • Sung Hwan Park
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.499-503
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    • 2024
  • Broadcasting programs are provided to various media such as Internet replay, OTT, and IPTV services as well as self-broadcasting. In this case, it is very important to provide keywords for search that represent the characteristics of the content well. Broadcasters mainly use the method of manually entering key keywords in the production process and the archive process. This method is insufficient in terms of quantity to secure core metadata, and also reveals limitations in recommending and using content in other media services. This study supports securing a large number of metadata by utilizing closed caption data pre-archived through the DTV closed captioning server developed in EBS. First, core metadata was automatically extracted by applying Google's natural language AI technology. The next step is to propose a method of finding core metadata by reflecting priorities and content characteristics as core research contents. As a technology to obtain differentiated metadata weights, the importance was classified by applying the TF-IDF calculation method. Successful weight data were obtained as a result of the experiment. The string metadata obtained by this study, when combined with future string similarity measurement studies, becomes the basis for securing sophisticated content recommendation metadata from content services provided to other media.

A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling (토픽모델링을 활용한 국내 문헌정보학 연구동향 분석)

  • Park, Ja-Hyun;Song, Min
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.7-32
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    • 2013
  • The goal of the present study is to identify the topic trend in the field of library and information science in Korea. To this end, we collected titles and s of the papers published in four major journals such as Journal of the Korean Society for information Management, Journal of the Korean Society for Library and Information Science, Journal of Korean Library and Information Science Society, and Journal of the Korean BIBLIA Society for library and Information Science during 1970 and 2012. After that, we applied the well-received topic modeling technique, Latent Dirichlet Allocation(LDA), to the collected data sets. The research findings of the study are as follows: 1) Comparison of the extracted topics by LDA with the subject headings of library and information science shows that there are several distinct sub-research domains strongly tied with the field. Those include library and society in the domain of "introduction to library and information science," professionalism, library and information policy in the domain of "library system," library evaluation in the domain of "library management," collection development and management, information service in the domain of "library service," services by library type, user training/information literacy, service evaluation, classification/cataloging/meta-data in the domain of "document organization," bibliometrics/digital libraries/user study/internet/expert system/information retrieval/information system in the domain of "information science," antique documents in the domain of "bibliography," books/publications in the domain of "publication," and archival study. The results indicate that among these sub-domains, information science and library services are two most focused domains. Second, we observe that there is the growing trend in the research topics such as service and evaluation by library type, internet, and meta-data, but the research topics such as book, classification, and cataloging reveal the declining trend. Third, analysis by journal show that in Journal of the Korean Society for information Management, information science related topics appear more frequently than library science related topics whereas library science related topics are more popular in the other three journals studied in this paper.

The Analysis of Patients in Oral Medicine and the Evaluation of Oral Medicine as a Special Field (내원경로 분석을 통한 전문과목으로서의 구강내과의 역할)

  • Chung, Tae-Yong;Ryu, Ji-Won;Kang, Jin-Kyu;Ahn, Hyung-Joon;Choi, Jong-Hoon
    • Journal of Oral Medicine and Pain
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    • v.30 no.4
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    • pp.391-400
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    • 2005
  • Special Practitioner exists based on the need for special fields that are required to manage difficult patients with specialized skills distinguished from General practitioner. The purpose of dental specialist system is to manage patients who are not treatable by general practitioner by training doctors specializing in one specific field, thereby, enhancing health of the public. Oral Medicine deals with orofacial pain, oral soft tissue disease, forensic dentistry, oral diagnosis. In these days, living environments of city life bring about increase in stress which ultimately lead to increase in prevalence of temporomandibular disorder, oral soft tissue disease, neuropathies such as trigeminal neuralgia, and hence, the number of patients seeking help of those symptoms tend to increase. The purpose of this study was to analyze the rate of referrals and the routes of patients seeking help by investigating 3,707 patients who visited Department of Oral Medicine, College of Dentistry, Yonsei University, from August, 2004 to April, 2005. The results were as follows: 1. The types of disease referred to the Department of Oral Medicine were orofacial pain, oral soft tissue disease, forensic dentistry, oral diagnosis. 2. The rate of referrals was 58.51% which implies that more than half of the patients visiting the Department of Oral Medicine were referred. 3. The types of institution which made referrals were analyzed, and as a result, dental clinics made most of the referrals with the rate of 83.23%, while that from medical or oriental medical institutions was 16.78%. 4. Among the patients who visited the Department of Oral Medicine on their own, 30.52% gained the information about the Department of Oral Medicine from internet and mass media, and from neighbors. From the above results, most of the patients visiting the Department of Oral Medicine were found to be referred not only from the field of dentistry but also from the field of medicine. These suggest that Oral Medicine manages patients who are not treatable by general dental practitioners, and medical specialists tend to cooperate with the Department of Oral Medicine to manage diseases associated with Oral Medicine. Therefore, the role of Oral Medicine can be considered to be important as a special field, and the results of this study should be considered when working out a policy of Dental specialist system on demand and supply of residents in the future.