• Title/Summary/Keyword: Big data Era

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A Study on Issues and Tasks of Humanity and Social Science in a Fourth Industrial Revolution Era (제4차 산업혁명시대 인문사회학적 쟁점과 과제에 관한 연구)

  • Kim, Jin-Young;Heo, Wan-Gyu
    • Journal of Digital Convergence
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    • v.16 no.11
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    • pp.137-147
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    • 2018
  • To prepare for and implement policies for the Fourth Industrial Revolution, which is characterized by convergence, super-connectivity, and AI, this study summarized the effects and characteristics of individual technologies on our society and discussed the issues with humanity and social science perspectives. As a result, in terms of AI technology, the issues of job losses, project-type works, basic income and robot taxes, accountability of AI, and algorithm inequality were dealt with. Security, cyber hacking and privacy infringement issues were highlighted in big-data technology. In the part of block-chain and bioengineering, the society of decentralization, the concentration, digital divide, and ethical issues were discussed. On-demand economic aspects highlighted the problems of civil ethics and human commercialization. Lastly, the development of VR is discussed including side effects such as cyber-syndrom, avoidance of reality, and so on.

A Study on Space Utilization according to Changes in Non-face-to-Face Consumer Use : Focused on bank offices

  • Hwang, Sungi;Ryu, Gihwan;Yun, Daiyeol;Kim, Heeyoung
    • International Journal of Advanced Culture Technology
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    • v.8 no.4
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    • pp.271-278
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    • 2020
  • Modern financial services go beyond the stage of internet banking, and new concepts of financial transactions such as Internet of Things, mobile banking, electronic payments, and fintech have emerged. As a result, banks are less influential in financial transactions, and changes are being demanded. In the present era, the basic business of banks has decreased, and it is transforming into a space where both consumer finance work and reside. The bank office stands for the brand image of the bank, and it is represented by trust with customers in the basic business of financial transactions, and the rise in real estate value is a natural social phenomenon due to the nature of the location and location of real estate owned by the bank. The business method and space of the bank office that meets the new paradigm of the modern society is an inefficient space only for the convenience and rest of consumers, but it must be used as a variety of spaces suitable for the region to increase the functional value of the bank office. Through this study, as a convenience space for consumers, various service facilities should be introduced to understand the characteristics of the region as a convenience space for consumers, and various service facilities should be introduced to meet the needs of consumers, and the bank office should be improved as a complex service space for local residents.

Implement of Analysis system with Indoor Environment Monitoring Based on IoT (사물인터넷 기반 실내 환경 모니터링 분석 시스템 구현)

  • Nam, Jae-hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1687-1692
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    • 2019
  • In the era of the fourth industrial revolution, advanced technologies such as the Internet of Things(IoT) and big data are emerging. However, the level of application of IoT to indoor environment is very weak. Therefore, it is necessary to develop a system for analyzing air pollutants or indoor air quality through real-time monitoring using the IoT. This paper implements a system that measures indoor environmental values using Arduino and various sensors, and stores the information obtained from various sensors into a database of server. The information stored in the server was built as a database and utilized in the ventilation system or air cleaner installed in the home or company's room. In the proposed system, it is possible to check the immediate indoor environmental condition through the LED status display of the monitoring sensor module while reducing the cost of the sensor used to implement IoT technology.

Legal Institutional Improvement for Activating National Supercomputing Ecosystem (국가슈퍼컴퓨팅 생태계 활성화를 위한 법제도 개선방안)

  • Huh, Taesang;Jung, Yonghwan;Koh, Myoungju
    • The Journal of the Korea Contents Association
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    • v.21 no.2
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    • pp.641-651
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    • 2021
  • Supercomputers have played an important role in various fields such as science, industry, national security and solutions for social issues, and their demand is increasing significantly as their use is strengthened in areas using big data and AI. Recently, competition for global exascale system development is accelerating based on various architectures, and the era of exascale computing is expected to come in the near future. However, the foundation of the domestic supercomputing ecosystem was lost due to the decline of the server industry in the past, and although the related law was enacted to supplement and foster it, it has not been able to perform its function smoothly. Therefore, this article examines the problems in the current legal system through the analysis of the relevant legal system and the status of the supercomputing ecosystem, and suggests improvements so that the relevant legal system, which can accommodate the reinforcement of the role of the government·national center·professional center, support for industries, promotion of commercialization of research results, and flexibility of government promotion policies, can prepare the basis for the promotion of the supercomputing R&D project.

Research on the Uses and Gratifications of Tiktok (Douyin short video)

  • Yaqi, Zhou;Lee, Jong-Yoon;Liu, Shanshan
    • International Journal of Contents
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    • v.17 no.1
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    • pp.37-53
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    • 2021
  • With the advent of the 5G era, smart phones and communications network technology have progressed, and mobile short video of people's life can be made, Of the new tools of communication, at present, China's social short video industry has shown rapid development, and the most representative of the short video app is Douyin (international version: Tiktok). Under the background of Uses and Gratifications Theory, this study discusse the relationship between Douyin users' preference degree, use motivation, use satisfaction and attention intention. This study divides the content of Douyin video into 10 categories, selects the form of an online questionnaire survey, uses SPSS software to conduct quantitative analysis of 202 questionnaires after screening, and finally draws the following conclusions: (1) The content preference degree of Douyin short video (the high group and low group) is different in users' use motivation, users' satisfaction degree and users' attention intention. ALL results are within the range of statistical significance.(2) Douyin users' video content preference degree has a positive impact on users' use motivation, users' satisfaction degree, and users' attention intention. (3) Douyin users' motivation has a positive impact on users' satisfaction and user' attention intention. (4) Douyin users' satisfaction degree has a positive impact on users' attention intention. Based on the research results, we suggest that Douyin platform pushes videos according to users' preferences. In addition, as the preference degree has an impact on users' motivation, satisfaction degree and attention intention of using the platform, it is important that the platform's focus should to pay attention to the preference degree of users. Collecting users' preferences at the early stage of users' entering the platform is a good way to learn from, and doing a good job of big data collection and management in the later operation.

Development of SW-STEAM Education Program Using Monte Carlo Simulation: Focusing on Mendelian Inheritance (몬테카를로 시뮬레이션을 활용한 SW융합교육 프로그램 개발: 멘델의 유전 원리를 중심으로)

  • Kim, Bongchul;Yoo, Hyejin;Oh, Seungtak;Namgoong, Dongkook;Kim, Jonghoon
    • Journal of The Korean Association of Information Education
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    • v.26 no.2
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    • pp.97-104
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    • 2022
  • As the era of digital transformation begins in earnest, the importance of convergent thinking based on software, artificial intelligence, and big data is increasing. In line with these social needs, this study developed a 5th hour SW-STEAM education program using Monte Carlo simulation techniques for Mendelian inheritance in the field of life science. By programming and implementing Mendelian inheritance using Monte carlo simulation, the program was organized so that not only convergent thinking skills but also related knowledge could be understood in depth. In order to verify the validity of the developed education program, 11 experts in related fields were requested to test the content validity, and the validity was verified by meeting the CVR reference value of 0.59 suggested by Lawshe.

Metaverse Company Zepeto's Growth Competitiveness Analysis and Development Strategy: SWOT Focuses on TOWS Development Model (메타버스 기업 제페토의 성장경쟁력 분석과 발전전략: SWOT, TOWS 발전모델을 중심으로)

  • Park, Sang-Hyeon;Kim, Chang-Tae;Hong, Guan-Woo
    • Journal of Industrial Convergence
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    • v.20 no.6
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    • pp.7-15
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    • 2022
  • Recently, due to the development of AI and big data technologies following the advent of the era of the 4th Industrial Revolution, the emerging metaverse industry is emerging as a new business, and in particular, from this point of view, this paper analyzes the history of metaverse and the pros and cons of "Geppetto", which is the most popular in the Korean metaverse market, and aims to give an appropriate direction for future development based on this. In order to carry out this study, we first used SWOT analysis techniques as an initial enterprise analysis method to examine the strengths and weaknesses, opportunities and threat requirements, and derive the status of each factor. Based on the factors in each of the subsequent derivatives, we wanted to explore the TOWS development strategy and present significant implications based on this.

Developing a Learning Model based on Computational Thinking (컴퓨팅 사고기반 융합 수업모델 개발)

  • Yu, Jeong-Su;Jang, Yong-Woo
    • Journal of Industrial Convergence
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    • v.20 no.2
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    • pp.29-36
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    • 2022
  • Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

A Study on How to Build a Zero Trust Security Model (제로 트러스트 보안모델 구축 방안에 대한 연구)

  • Jin Yong Lee;Byoung Hoon Choi;Namhyun Koh;Samhyun Chun
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.6
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    • pp.189-196
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    • 2023
  • Today, in the era of the 4th industrial revolution based on the paradigm of hyper-connectivity, super-intelligence, and superconvergence, the remote work environment is becoming central based on technologies such as mobile, cloud, and big data. This remote work environment has been accelerated by the demand for non-face-to-face due to COVID-19. Since the remote work environment can perform various tasks by accessing services and resources anytime and anywhere, it has increased work efficiency, but has caused a problem of incapacitating the traditional boundary-based network security model by making the internal and external boundaries ambiguous. In this paper, we propse a method to improve the limitations of the traditional boundary-oriented security strategy by building a security model centered on core components and their relationships based on the zero trust idea that all actions that occur in the network beyond the concept of the boundary are not trusted.

Development of drought monitoring system using spatial information big data (공간정보 빅데이터를 활용한 가뭄 모니터링 체계 구축)

  • Won-Ho Nam;Hee-Jin Lee;Chang-Kyun Park;Jong-Hun Kam;Ho-Sun Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.331-331
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    • 2023
  • 일반적으로 가뭄을 해석하기 위하여 가뭄심도, 빈도, 피해면적 및 기간의 영향 등을 고려한 가뭄지수를 이용하며, 이러한 가뭄지수는 주로 지점자료 기반 지상관측자료를 활용하여 산정한다. 하지만 지점자료 특성상 미계측 지역에 대한 정확한 데이터 취득이 어렵기 때문에 미계측 지역에 대한 가뭄 분석의 한계가 발생한다. 다양한 계측기반의 지상센서들이 확충되면서 통계학적 기법기반 공간분포 개선방안을 제시하고 있지만, 정확한 가뭄평가 자료가 추가 및 개선되는 것이 중요하다. 본 연구에서는 원격탐사기술을 활용하여 지점자료의 한계를 극복한 격자기반의 공간정보를 표출함으로써 새로운 가뭄모니터링 방안을 제시하는 것을 목표로 한다. 이를 위해 지상관측자료로 가뭄을 판단하기 어려운 미계측 지역에 대한 가뭄 판단 및 예측 정확도 향상을 위하여 원격탐사기술을 활용한 공간정보 빅데이터를 구축하고자 한다. 미국 국립가뭄경감센터에서 제시한 식생가뭄반응지수 (VegDRI, Vegetation Drought Response Index)는 식생지수, 기상학적 가뭄지수, 지역적 특성을 반영한 생물물리학적 정보를 통합한 하이브리드 가뭄지수로 가뭄과 관련된 공간정보를 활용하여 가뭄을 판단하는 지표이다. VegDRI 산정을 위하여 ERA5의 격자기반 강수자료, MODIS 센서 기반 식생지수 등 격자기반의 공간정보를 수집하였으며, 전처리 모듈을 구축하였다. 또한, 기존 기상학적 가뭄지수인 표준강수지수 (SPI, Standardized Precipitation Index)와 비교를 통해 VegDRI의 국내 적용성을 평가하였으며, 국내 가뭄사례에 적용하여 적절한 가뭄 판단지표로써 활용할 수 있을 것으로 판단된다.

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