• Title/Summary/Keyword: 디지털산업

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Analysis of news bigdata on 'Gather Town' using the Bigkinds system

  • Choi, Sui
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.53-61
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    • 2022
  • Recent years have drawn a great attention to generation MZ and Metaverse, due to 4th industrial revolution and the development of digital environment that blurs the boundary between reality and virtual reality. Generation MZ approaches the information very differently from the existing generations and uses distinguished communication methods. In terms of learning, they have different motivations, types, skills and build relationships differently. Meanwhile, Metaverse is drawing a great attention as a teaching method that fits traits of gen MZ. Thus, the current research aimed to investigate how to increase the use of Metaverse in Educational Technology. Specifically, this research examined the antecedents of popularity of Gather Town, a platform of Metaverse. Big data of news articles have been collected and analyzed using the Bigkinds system provided by Korea Press Foundation. The analysis revealed, first, a rapid increasing trend of media exposure of Gather Town since July 2021. This suggests a greater utilization of Gather Town in the field of education after the COVID-19 pandemic. Second, Word Association Analysis and Word Cloud Analysis showed high weights on education related words such as 'remote', 'university', and 'freshman', while words like 'Metaverse', 'Metaverse platform', 'Covid19', and 'Avatar' were also emphasized. Third, Network Analysis extracted 'COVID19', 'Avatar', 'University student', 'career', 'YouTube' as keywords. The findings also suggest potential value of Gather Town as an educational tool under COVID19 pandemic. Therefore, this research will contribute to the application and utilization of Gather Town in the field of education.

Evaluating the Efficiency of Personal Information Protection Activities in a Private Company: Using Stochastic Frontier Analysis (개인정보처리자의 개인정보보호 활동 효율성 분석: 확률변경분석을 활용하여)

  • Jang, Chul-Ho;Cha, Yun-Ho;Yang, Hyo-Jin
    • Informatization Policy
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    • v.28 no.4
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    • pp.76-92
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    • 2021
  • The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

An Exploratory Study for the Application of Metaverse in Church Education (메타버스의 교회교육 적용을 위한 탐색적 연구)

  • Nam, Sunwoo
    • Journal of Christian Education in Korea
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    • v.71
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    • pp.241-276
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    • 2022
  • Due to the 4th industrial revolution, which started with the Smart Revolution in the early 21st century, Hyper-Connectivity, Hyper-Convergence and Hyper-Intelligence of our society is accelerating. These changes induced formation of Metaverse as a fused new space that crosses the perimeter of the physical space and virtual(digital) spaces beyond time and place. The characteristics of Metaverse are continuously spread by engaging with the characteristics of the MZ generation, which collects both Millennial generation (M Generation) and Z Generation. With outburst of Covid-19 pandemic, a variety of attempts have been made to utilize Metaverse, even in church education when it was impossible to worship directly. In other words, the usefulness of the Metaverse was confirmed as a new community space of the education of the church. In addition, Metaverse may provide a substantial, experiential and evolving space for church education. However, in order for church education to further develop, the development in the method of education is also required to move beyond mere concept of space. In particular, when the learner-centered education method, one of the common characteristics of the Metaverse and MZ generation, it is thought that the church education in the Metaverse era will be able to go in a more evolving direction.

A Study on Next-Generation Data Protection Based on Non File System for Spreading Smart Factory (스마트팩토리 확산을 위한 비파일시스템(None File System) 기반의 차세대 데이터보호에 관한 연구)

  • Kim, Seungyong;Hwang, Incheol;Kim, Dongsik
    • Journal of the Society of Disaster Information
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    • v.17 no.1
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    • pp.176-183
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    • 2021
  • Purpose: The introduction of smart factories that reflect the 4th industrial revolution technologies such as AI, IoT, and VR, has been actively promoted in Korea. However, in order to solve various problems arising from existing file-based operating systems, this research will focus on identifying and verifying non-file system-based data protection technology. Method: The research will measure security storage that cannot be identified or controlled by the operating system. How to activate secure storage based on the input of digital key values. Establish a control unit that provides input and output information based on BIOS activation. Observe non-file-type structure so that mapping behavior using second meta-data can be performed according to the activation of the secure storage. Result: First, the creation of non-file system-based secure storage's data input/output were found to match the hash function value of the sample data with the hash function value of the normal storage and data. Second, the data protection performance experiments in secure storage were compared to the hash function value of the original file with the hash function value of the secure storage after ransomware activity to verify data protection performance against malicious ransomware. Conclusion: Smart factory technology is a nationally promoted technology that is being introduced to the public and this research implemented and experimented on a new concept of data protection technology to protect crucial data within the information system. In order to protect sensitive data, implementation of non-file-type secure storage technology that is non-dependent on file system is highly recommended. This research has proven the security and safety of such technology and verified its purpose.

The Transformation of Norms and Social Problems: Focusing on the COVID-19 Pandemic (규범의 전환과 사회문제: 코로나를 중심으로)

  • Lee, Jangju
    • Korean Journal of Culture and Social Issue
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    • v.28 no.3
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    • pp.513-527
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    • 2022
  • This study was conducted to examining the socio-cultural impact of the COVID-19 pandemic that swept the world around 2020, and the transformation of norms and social problems due to COVID-19. For this, the characteristics of changes in the socio-cultural norms of the 14th century European Black Death, a representative example of the pandemic, were derived, and based on this, the COVID-19 pandemic was analyzed. The Black Death served as an opportunity to change social norms based on the existing religious authority and the power of the feudal system to the Enlightenment. The population declination and labor shortage also promoted commercialization and mechanization. Printing, which spread during this period, led to the popularization of knowledge, which raised the level of thinking and led to epochal scientific development. This became the foundation of the Industrial Revolution. Like the recent Black Death, COVID-19 has triggered changes in social norms. The technological environment of metaverse, a mixture of virtual and reality, has changed the norm of a consistent identity into free and open identities exerting various potentials through alternate characters. In addition, meme, which are about people being friendly to those with the same worldview as him on the metaverse, weakened the sense of isolation in non-face-to-face situations. Artificial intelligence (AI), which developed during the COVID-19 pandemic, has entered the stage of being used for creative activities beyond the function of assisting humans. Discussions were held on what new social problems would be created by the social norms changed due to the COVID-19 pandemic.

Development of evaluation index for value creation of blockchain adoption in real estate electronic transaction system - Based on AHP analysis - (부동산 전자거래시스템 내 블록체인 도입의 가치창출 평가지표 개발 - AHP 분석 기법을 기반으로 -)

  • Lee, Sungmin;Kim, Heejoon;Lee, Myeonghun;Kim, Jaejun
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.3
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    • pp.74-82
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    • 2022
  • With the introduction of proptech, this study aims to find out the changes and necessity of introducing blockchain technology, one of the most popular technologies, in real estate electronic transactions. In addition, it is intended to develop evaluation indicators that classify newly created values within real estate electronic transactions and calculate the relative importance of each value area through technology application. To this end, the value that can be created when applying blockchain technology to real estate electronic transactions was classified according to the hierarchy, and considering that the evaluation criteria are complex and the importance can be measured differently depending on various factors, an analysis was conducted according to the AHP method for experts in practical and academic fields. As a result of the analysis, general value showed the highest importance in the first dimension, and digitalization of real estate information showed the highest importance in the second dimension.

A Study on the Priority of Sustainability Areas and Indicators of Domestic Smart Ports (국내 스마트 항만의 지속가능성 영역과 지표의 우선순위에 관한 연구)

  • Lee, Jae-Hoon;Chang, Myung-Hee
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.65-85
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    • 2022
  • In this study, in order to derive the priority of indicators and sustainability areas of smart ports, which means ports in the digital era, previous studies and ESG, which have recently been indispensably introduced in all industries worldwide, were studied together. A hierarchical structure was established with upper evaluation items and 20 lower evaluation items in four areas (operational, environmental, social, and governance), and a relative evaluation method of weighting items among the AHP techniques was applied. The pairwise comparison questionnaire consisted of a 9-point scale proposed by Satty (1980). A survey was conducted targeting working-level workers who perform sustainability or ESG(Environmental, Social, Governance)-related work at four representative port authorities in Korea (Busan, Incheon, Ulsan, Yeosu Gwangyang). In order to increase the accuracy of the analysis results, AHP analysis was conducted on 17 questionnaires with a consistency ratio of 0.1 or less. As a result of the analysis, it was confirmed that among the four areas representing the sustainability of domestic smart ports, the operation area had the highest priority, followed by the environment area. In addition, looking at the overall priorities for the 20 detailed indicators, indicators such as operational efficiency, operational planning, energy management, and pollution measurement and management system were found to have high priority. On the other hand, it was confirmed that the social and the governance areas had relatively low importance compared to other areas.

Early Prediction of Fine Dust Concentration in Seoul using Weather and Fine Dust Information (기상 및 미세먼지 정보를 활용한 서울시의 미세먼지 농도 조기 예측)

  • HanJoo Lee;Minkyu Jee;Hakdong Kim;Taeheul Jun;Cheongwon Kim
    • Journal of Broadcast Engineering
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    • v.28 no.3
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    • pp.285-292
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    • 2023
  • Recently, the impact of fine dust on health has become a major topic. Fine dust is dangerous because it can penetrate the body and affect the respiratory system, without being filtered out by the mucous membrane in the nose. Since fine dust is directly related to the industry, it is practically impossible to completely remove it. Therefore, if the concentration of fine dust can be predicted in advance, pre-emptive measures can be taken to minimize its impact on the human body. Fine dust can travel over 600km in a day, so it not only affects neighboring areas, but also distant regions. In this paper, wind direction and speed data and a time series prediction model were used to predict the concentration of fine dust in Seoul, and the correlation between the concentration of fine dust in Seoul and the concentration in each region was confirmed. In addition, predictions were made using the concentration of fine dust in each region and in Seoul. The lowest MAE (mean absolute error) in the prediction results was 12.13, which was about 15.17% better than the MAE of 14.3 presented in previous studies.

Methods to Introduce Criminal Remedies to Enahnce Effectiveness of Administrative Technology Misappropriation Investigation (기술침해 행정조사의 실효성제고를 위한 분쟁조정 방안 -형사적 구제방안을 중심으로-)

  • Byung-Soo, Kang;Yong-kil, Kim;Sung-Pil, Park
    • Journal of Arbitration Studies
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    • v.32 no.4
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    • pp.53-85
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    • 2022
  • Small and medium-sized enterprises ("SMEs") are vulnerable to trade secret misappropriation. Korea's legislation for the protection of SMEs' trade secrets and provision of civil, criminal, and administrative remedies includes the SME Technology Protection Act, the Unfair Competition Prevention Act, the Industrial Technology Protection Act, the Mutually Beneficial Cooperation Act, and the Subcontracting Act. Among these acts, the revised SME Technology Protection Act of 2018 introduced the "administrative technology misappropriation investigation system" to facilitate a rapid resolution of SMEs' technology misappropriation disputes. On September 27, 2021, Korea's Ministry of SMEs announced that it had reached an agreement to resolve the dispute between Hyundai Heavy Industries and Samyeong Machinery through the administrative technology misappropriation investigation system. However, not until 3 years and a few months passed since the introduction of the system could it be used to resolve an SME's technology misappropriation dispute with a large corporation. So there arose a question on the usefulness of the system. Therefore, we conducted a comparative legal analysis of Korea's laws enacted to protect trade secrets of SMEs and to address technology misappropriation, focusing on their legislative purpose, protected subject matter, types of misappropriation, and legal remedies. Then we analyzed the administrative technology misappropriation investigation system and the cases where this system was applied. We developed a proposal to enhance the usefulness of the system. The expert interviews of 4 attorneys who are experienced in the management of the system to check the practical value of the proposal. Our analysis shows that the lack of compulsory investigation and criminal sanctions is the fundamental limitation of the system. We propose revising the SME Technology Protection Act to provide correction orders, criminal sanctions, and compulsory investigation. We also propose training professional workforces to conduct digital forensics, enabling terminated SMEs to utilize the system, and assuring independence and fairness of the mediation and arbitration of the technology misappropriation disputes.

A study on the Construction of a Big Data-based Urban Information and Public Transportation Accessibility Analysis Platforms- Focused on Gwangju Metropolitan City - (빅데이터 기반의 도시정보·접대중교통근성 분석 플랫폼 구축 방안에 관한 연구 -광주광역시를 중심으로-)

  • Sangkeun Lee;Seungmin Yu;Jun Lee;Daeill Kim
    • Smart Media Journal
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    • v.11 no.11
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    • pp.49-62
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    • 2022
  • Recently, with the development of Smart City Solutions such as Big data, AI, IoT, Autonomous driving, and Digital twins around the world, the proliferation of various smart devices and social media, and the record of the deeds that people have left everywhere, the construction of Smart Cities using the "Big Data" environment in which so much information and data is produced that it is impossible to gauge the scale is actively underway. The Purpose of this study is to construct an objective and systematic analysis Model based on Big Data to improve the transportation convenience of citizens and formulate efficient policies in Urban Information and Public Transportation accessibility in sustainable Smart Cities following the 4th Industrial Revolution. It is also to derive the methodology of developing a Big Data-Based public transport accessibility and policy management Platform using a sustainable Urban Public DB and a Private DB. To this end, Detailed Living Areas made a division and the accessibility of basic living amenities of Gwangju Metropolitan City, and the Public Transportation system based on Big Data were analyzed. As a result, it was Proposed to construct a Big Data-based Urban Information and Public Transportation accessibility Platform, such as 1) Using Big Data for public transportation network evaluation, 2) Supporting Transportation means/service decision-making based on Big Data, 3) Providing urban traffic network monitoring services, and 4) Analyzing parking demand sources and providing improvement measures.