• Title/Summary/Keyword: 디지털화 전환

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Study on the Compared between u-Learning and e-Learning based SCORM (SCORM 기반 u-Learning과 e-Learning 비교연구)

  • Choi, Sung;Ryu, Gab-Sang
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2006.06a
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    • pp.495-505
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    • 2006
  • IT기술기반 교육시스템은 인터넷 등장 이전에도 가능성을 인정받아 지속적으로 개발되어 온 분야이며, 교육공학과의 연계로 지식 전날의 이론체계로 각광을 받고 있다. 사이버교유도 인터넷이전부터 다양한 통신방법을 응용하여 개발되었고, 최근 인터넷을 통하여 사이버 교육시스템은 완벽한 기술기반을 갖추게 되였다. 그러나 IT기술의 급격한 변화로 사이버교육시스템은 계속하여 신기술 변화에 적용해야만 한다. 현재 정보통신기술의 변화는 방송 통신망의 융합, 브로드 밴드 네트워킹, 스마트 디바이스의 다양화, 멀티미디어 기술의 고도화로 요약된다. 이 기술의 종합한 작용으로 유비쿼터스 사회의 기반으로 진화되고 있다. 그래서 e-Learning 분야도 기존 인터넷기반 시스템과는 달리 차세대 온라인교육시스템으로 친화되고 있다. IT융합가술 기반의 온라인 교육시스템은 각종 국제표준단체에서 표준안이 제시되고 있다. e-Learning 시스템이란 선기술 기반을 반영한 표준기술을 사용하는 온라인교육시스템을 포괄하는 개념이다. 본 연구에서는 e-Learning 시스템과 유비쿼터스 기술을 반영한 e-Learning을 비교하였다. 그리고 u-Learning 시스템의 기술정립과 EOD(Education On Demand) 시스템에 대하여 연구하였다. 1. u-Learning 정의 정보산업분야를 비롯한 문화, 교육 등 모든 분야에서 유비퀴터스라는 수식어가 붙어 다니고 있다. e- Learning 교육 업계에 따르면 10년 후에는 유비쿼터스는 대중화가 될 것이며, 부가가치 규모는 100조 원에 이를 것으로 추정된다. 그래서 교육산업도 주변 환경이 아날로그 방식에서 IT 기반에 의한 디지털 환경으로 변화되고 있다. 또한 e러닝, T러닝, m러닝, u러닝 등의 용어가 생성되고 있다.키지에어컨에서 사용되고 있는 밀폐형 압축기에 대해서 그림 2에서 나타내고 있는 냉방능력 10tons(120,000Btu/h) 이하를 중심으로 상기의 최근 기술 동향을 간략하게 소개하고자 한다.질표준의 지표성분으로 간주되는 진세노사이드의 절대함량과 그 성분조성 차이에 따른 임상효과의 차별성이 있는지에 대한 검토와, 특히 최근 실험적으로 밝혀지고 있는 사포닌 성분의 장내 세균에 의한 생물전환체의 인체 실험을 통한 효과 검정이 필요하다. 나아가서는 적정 복용량의 설정과 이와 관련되는 생체내 동태 및 생체이용율(bioavilability)에 관한 정보가 거의 없으므로 이것도 금후 검토해야 할 과제로 사료된다. 인삼은 전통약물로서 오랜 역사성과 그동안의 연구결과에 의한 과학성을 가지고 있으므로 건강유지와 병의 예방 및 회복촉진을 위한 보조요법제 또는 기능성 식품으로써의 유용성이 있는 것으로 판단된다. 앞으로 인삼의 활용성 증대를 위해서는 보다 과학적인 임상평가에 의한 안전성 및 유효성 입증과 제품의 엄격한 품질관리의 필요성이 더욱 강조되어야 할 것이다.xyl radical 생성 억제 효과를 보여 주었다. 본 실험을 통하여 BHT 를 제외하고 전반적으로 세포 수준에서의 oxidative stress 에 대한 억제 효과를 확인해 볼 수 있었으며 특히 수용성 항산화제들에서 두드러진 효과를 보여 주었다. 제공하여 내수기반 확충에도 노력해야 할 것 이다.있었다., 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른 영향을 받을 수 있기 때문에 앞으로 이에 대한 많은 연구가 이루어져야할 것으로 판단된다.태에도 불구하고 [-wh]의미의 겹의문사는 병렬적 관계의 합성어가 아니라 내부구조를 지니지 않은 단순한 단어(minimal $X^{0}$<

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A Study on the Possibility of Blockchain Technology Adoption in the Logistics Industry (물류산업 내 블록체인 기술 도입 가능성 연구)

  • Kye, Dong Min;Hur, Sung Ho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.2
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    • pp.116-131
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    • 2022
  • With the recent progress of the 4th industrial revolution, the logistics industry is also making efforts to introduce smart logistics, and various attempts are being made to spread logistics informatization, which is the core of smart logistics. Among these, blockchain technology is considered as a technology that will contribute to the spread of logistics informatization and is being applied to various fields. Accordingly, in this study, to discuss the applicability of blockchain technology to the logistics industry, the characteristics of blockchain technology were defined, related cases were reviewed, and a survey was conducted on the possibility of application in the industry. Blockchain technology can be defined as having the characteristics of economic feasibility, speed, transparency in terms of work efficiency, and scalability, decentralization (decentralization), reliability (security) in terms of added value creation. It was confirmed that many are being introduced in the fields of distribution, finance, personal information, and public services. As a result of the survey on the logistics industry, it was confirmed that the level of informatization of the logistics industry had entered the stage of generating profits by using information, but the industry was passive in sharing and utilizing information due to concerns about information leakage. Nevertheless, the awareness and expectation of the need for informatization is high, and it is expected that the informatization of the logistics industry and realizing smart logistics based on it will advance one step further with the introduction of blockchain technology in the future.

Simulation and Post-representation: a study of Algorithmic Art (시뮬라시옹과 포스트-재현 - 알고리즘 아트를 중심으로)

  • Lee, Soojin
    • 기호학연구
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    • no.56
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    • pp.45-70
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    • 2018
  • Criticism of the postmodern philosophy of the system of representation, which has continued since the Renaissance, is based on a critique of the dichotomy that separates the subjects and objects and the environment from the human being. Interactivity, highlighted in a series of works emerging as postmodern trends in the 1960s, was transmitted to an interactive aspect of digital art in the late 1990s. The key feature of digital art is the possibility of infinite variations reflecting unpredictable changes based on public participation on the spot. In this process, the importance of computer programs is highlighted. Instead of using the existing program as it is, more and more artists are creating and programming their own algorithms or creating unique algorithms through collaborations with programmers. We live in an era of paradigm shift in which programming itself must be considered as a creative act. Simulation technology and VR technology draw attention as a technique to represent the meaning of reality. Simulation technology helps artists create experimental works. In fact, Baudrillard's concept of Simulation defines the other reality that has nothing to do with our reality, rather than a reality that is extremely representative of our reality. His book Simulacra and Simulation refers to the existence of a reality entirely different from the traditional concept of reality. His argument does not concern the problems of right and wrong. There is no metaphysical meaning. Applying the concept of simulation to algorithmic art, the artist models the complex attributes of reality in the digital system. And it aims to build and integrate internal laws that structure and activate the world (specific or individual), that is to say, simulate the world. If the images of the traditional order correspond to the reproduction of the real world, the synthesized images of algorithmic art and simulated space-time are the forms of art that facilitate the experience. The moment of seeing and listening to the work of Ian Cheng presented in this article is a moment of personal experience and the perception is made at that time. It is not a complete and closed process, but a continuous and changing process. It is this active and situational awareness that is required to the audience for the comprehension of post-representation's forms.

The Impact of Changes in Social Information Processing Mechanism on Social Consensus Making in the Information Society (정보화사회에 있어서 사회적 정보처리 메커니즘의 변화가 사회적 컨센서스 형성에 미치는 영향에 대한 연구)

  • Jin, Seung-Hye;Kim, Yong-Jin
    • Information Systems Review
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    • v.13 no.3
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    • pp.141-163
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    • 2011
  • The advancement of information technologies including the Internet has affected the way of social information processing as well as brought about the paradigm shift to the information society. Accordingly, it is very important to study the process of social information processing over the digital media through which social information is generated, distributed, and led to social consensus. In this study, we analyze the mechanism of social information processing, identify a process model of social consensus and institutionalization of the results, and finally propose a set of information processing characteristics on the internet media. We deploy the ethnographic approach to analyze the meaning of group behavior in the context of society to analyze two major events which happened in Korean society. The formation process of social consensus is found to consist of 5 steps: suggestion of social issues, selective reflection on public opinion, acceptance of the issues and diffusion, social consensus, and institutionalization and feedback. The key characteristics of information processing in the Internet is grouped into proactive response to an event, the changes in the role of opinion leader, the flexibility of proposal and analysis, greater scalability, relevance to consensus making, institutionalization and interaction. This study contributes to the literature by proposing a process model of social information processing which can be used as the basis for analyzing the social consensus making process from the social network perspective. In addition, this study suggests a new perspective where the utility of the Internet media can be understood from the social information processing so that other disciplines including politics, communications, and management can improve the decision making performance in utilizing the Internet media.

A Study on the Expression of Symbolism in the Production of Animation for the Original Work 'Grave of the Fireflies(火垂 墓)' ('반딧불의 묘' 원작에 대한 애니메이션 연출의 상징성 표현 연구)

  • Kim Il-Tae;No Su-Ah
    • The Journal of the Korea Contents Association
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    • v.5 no.4
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    • pp.111-121
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    • 2005
  • The appearance of digital culture swiftly has changed the culture in domestic and international arenas before and after the year 2004 and the image and animation have become two of the most important expression media in contemporary age. Among the Japanese animations that have demonstrated the rapid development of cartoon and animation in the world, the director Dakahata Isao's 'Graves of the Fireflies' that has influenced many works has been evaluated as one of the noticeable works that has a unique method and scenario dramatization in terms of producing the original novel into an animation. This study investigates the metaphor and symbolism shown in this work according to each sequence, divides the production ability in the work into three elements and applies them to the important elements such as camera, colors and mise-en-scene when the original work is depicted into image. It can be summarized in more detail as in the following: firstly, I study the rhythm of camera corresponding to the symbolism of the angle that the camera has and production; secondly, I analyze the artistic elements appeared in the process of expressing the original work into the image, especially the production for the colors and symbolism contained in them and the composition of screen. Thirdly, I analyze how effectively the atmosphere for the situations for the original work is expressed in animation with the aid of one of the image elements, mis-en-scene. It is expected that the analyzed findings will be effective as a way of overcoming the limitation of expressions that the original work in text and the study on these processes will become good examples to the relevant workers and will be the good references to the producers who are interested in the creation of animation in Korea.

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Designing the Record Management Functions for Record Content Using Advantages of Cloud Storage (클라우드 저장소 장점을 활용한 기록 콘텐츠 관리기능 설계)

  • Yim, Jin-Hee
    • Journal of Korean Society of Archives and Records Management
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    • v.19 no.3
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    • pp.271-292
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    • 2019
  • Recently, the central administrative agency changed its business management system to cloud-based On-nara 2.0. To transfer and manage the records of the cloud business management system, the National Archives Service has developed and distributed a cloud-based records management system. It serves as an opportunity to maximize the benefits of cloud computing and redesign the records management to be more effective and efficient. The process and method of electronic record management can be transformed through digital technologies. First, we can change the transfer method for electronic records. When the business and the records management systems share the same cloud storage, it is possible to transfer the content files between the two systems without moving the contents files physically, thus copying only the metadata and reducing the cost and the risk of integrity damage. Second, the strategy for allocating storage space for contents can be conceived. Assuming that the cloud storage is shared by the business and the record management systems, it is advantageous to distinguish the storage location based on the retention period of the content files. Third, systems that access content files, such as records creation, records management, and information disclosure systems, can share the cloud storage and minimize the duplication of content files.

6G Technology Competitiveness and Network Analysis: Focusing on GaN Integrated Circuit Patent Data (6G의 기술경쟁력 및 네트워크 분석: GaN 집적회로 특허 데이터 중심)

  • Woo-Seok Choi;Jin-Yong Kim;Jung-Hwan Lee;Sang-Hyun Choi
    • Journal of Industrial Convergence
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    • v.21 no.3
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    • pp.1-15
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    • 2023
  • Expectations for wireless communication technology are rising as a base technology that promotes innovation in various industries in line with the paradigm of digital transformation in the 21st century beyond the stage of being used only for communication service itself. In this study, in order to compare 6G technological competitiveness between Korea and leading countries, technological competitiveness was confirmed through PFS, CPP, and network analysis based on GaN Integrated Circuit patent data. Korea's 6G technological competitiveness was 0.62 in PFS and 3.93 in CPP, which were 32.8% and 19.9%, respectively, compared to leading countries. In addition, as a result of network analysis, the collaboration rate in the 6G field was 7.2%, and the collaboration ecosystem was very insufficient in most countries. In contrast, it was confirmed that Korea, unlike leading countries, has established a small-scale collaboration ecosystem linked by industry and academia. Thus, it is necessary to establish a strategy for 6G communication technology at the national level so that communication technology can be advanced based on a relatively well-established collaborative ecosystem.

A study on the policy of de-identifying unstructured data for the medical data industry (의료 데이터 산업을 위한 비정형 데이터 비식별화 정책에 관한 연구)

  • Sun-Jin Lee;Tae-Rim Park;So-Hui Kim;Young-Eun Oh;Il-Gu Lee
    • Convergence Security Journal
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    • v.22 no.4
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    • pp.85-97
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    • 2022
  • With the development of big data technology, data is rapidly entering a hyperconnected intelligent society that accelerates innovative growth in all industries. The convergence industry, which holds and utilizes various high-quality data, is becoming a new growth engine, and big data is fused to various traditional industries. In particular, in the medical field, structured data such as electronic medical record data and unstructured medical data such as CT and MRI are used together to increase the accuracy of disease prediction and diagnosis. Currently, the importance and size of unstructured data are increasing day by day in the medical industry, but conventional data security technologies and policies are structured data-oriented, and considerations for the security and utilization of unstructured data are insufficient. In order for medical treatment using big data to be activated in the future, data diversity and security must be internalized and organically linked at the stage of data construction, distribution, and utilization. In this paper, the current status of domestic and foreign data security systems and technologies is analyzed. After that, it is proposed to add unstructured data-centered de-identification technology to the guidelines for unstructured data and technology application cases in the industry so that unstructured data can be actively used in the medical field, and to establish standards for judging personal information for unstructured data. Furthermore, an object feature-based identification ID that can be used for unstructured data without infringing on personal information is proposed.

A Study on Policy Trends and Location Pattern Changes in Smart Green-Related Industries (스마트그린 관련 산업의 정책동향과 입지패턴 변화 연구)

  • Young Sun Lee;Sun Bae Kim
    • Journal of the Economic Geographical Society of Korea
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    • v.27 no.1
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    • pp.38-52
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    • 2024
  • Digital transformation industry contributes to the improvement of productivity in overall industrial production, the smart green industry for carbon neutrality and sustainable growth is growing as a future industry. The purpose of this paper is to explore the status and role of the industry in the future industry innovation ecosystem through the analysis of the growth drivers and location pattern changes of the smart green industry. The industry is on the rise in both metropolitan and non-metropolitan areas, and the growth of the industry can be seen in non-metropolitan and non-urban areas. In particular, due to the smart green industrial complex pilot project, the creation of Gwangju Jeonnam Innovation City, and the promotion of new and renewable energy policies, the emergence of core aggregation areas (HH type) in the coastal areas of Honam and Chungcheongnam-do, and the formation of isolated centers (HL type) in the Gyeongsang region, new and renewable energy production companies are being accumulated in non-metropolitan areas. Therefore, the smart green industry is expected to promote the formation of various specialized spokes in non-urban areas in the future industrial innovation ecosystem that forms a multipolar hub-spoke network structure, where policy factors are the triggers for growth.

Application of Deep Learning and Optical Character Recognition Technology to Automate Classification and Database of Borehole Log for Ground Stability Investigation of Abandoned Mines (폐광산 지반안정성 조사용 시추주상도의 분류 및 데이터베이스화를 위한 딥러닝 및 광학문자인식 기술의 적용)

  • Hosang Han;Jangwon Suh
    • Economic and Environmental Geology
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    • v.57 no.5
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    • pp.473-486
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    • 2024
  • Boring logs are essential for the evaluation of ground stability in abandoned mine areas, representing geomaterial and subsurface structure information. However, because boring logs are maintained in various analog formats, extracting useful information from them is prone to human error and time-consuming. Therefore, this study develops an algorithm to efficiently manage and analyze boring log data for abandoned mine ground investigation provided in PDF format. For this purpose, the EfficientNet deep learning model was employed to classify the boring logs into five types with a high classification accuracy of 1.00. Then, optical character recognition (OCR) and PDF text extraction techniques were utilized to extract text data from each type of boring log. The OCR technique resulted in many cases of misrecognition of the text data of the boring logs, but the PDF text extraction technique extracted the text with very high accuracy. Subsequently, the structure of the database was established, and the text data of the boring logs were reorganized according to the established schema and written as structured data in the form of a spreadsheet. The results of this study suggest an effective approach for managing boring logs as part of the transition to digital mining, and it is expected that the structured boring log data from legacy data can be readily utilized for machine learning analysis.