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The Study on Data Governance Research Trends Based on Text Mining: Based on the publication of Korean academic journals from 2009 to 2021 (텍스트 마이닝을 활용한 데이터 거버넌스 연구 동향 분석: 2009년~2021년 국내 학술지 논문을 중심으로)

  • Jeong, Sun-Kyeong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.133-145
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    • 2022
  • As a result of the study, the poorest keywords were information, big data, management, policy, government, law, and smart. In addition, as a result of network analysis, related research was being conducted on topics such as data industry policy, data governance performance, defense, governance, and data public. The four topics derived through topic modeling were "DG policy," "DG platform," "DG in laws," and "DG implementation," of which research related to "DG platform" showed an increasing trend, and "DG implementation" tended to shrink. This study comprehensively summarized data governance-related studies. Data governance needs to expand research areas from various perspectives and related fields such as data management and data integration policies at the organizational level, and related technologies. In the future, we can expand the analysis targets for overseas data governance and expect follow-up studies on research directions and policy directions in industries that require data-based future industries such as Industry 4.0, artificial intelligence, and Metaverse.

Development of Deep Learning-Based Damage Detection Prototype for Concrete Bridge Condition Evaluation (콘크리트 교량 상태평가를 위한 딥러닝 기반 손상 탐지 프로토타입 개발)

  • Nam, Woo-Suk;Jung, Hyunjun;Park, Kyung-Han;Kim, Cheol-Min;Kim, Gyu-Seon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.107-116
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    • 2022
  • Recently, research has been actively conducted on the technology of inspection facilities through image-based analysis assessment of human-inaccessible facilities. This research was conducted to study the conditions of deep learning-based imaging data on bridges and to develop an evaluation prototype program for bridges. To develop a deep learning-based bridge damage detection prototype, the Semantic Segmentation model, which enables damage detection and quantification among deep learning models, applied Mask-RCNN and constructed learning data 5,140 (including open-data) and labeling suitable for damage types. As a result of performance modeling verification, precision and reproduction rate analysis of concrete cracks, stripping/slapping, rebar exposure and paint stripping showed that the precision was 95.2 %, and the recall was 93.8 %. A 2nd performance verification was performed on onsite data of crack concrete using damage rate of bridge members.

A Study on the Factors Influencing Acceptance Intention and Acceptance Behavior of Technologies Related to the 4th Industrial Revolution and Smart Factory (4차 산업혁명과 스마트 팩토리 관련 기술의 수용의도 및 수용행동 영향요인에 대한 연구)

  • Lee, Yong-Gyu
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.1-18
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    • 2021
  • The purpose of this study is to study the influencing factors that can affect the acceptance intention and acceptance behavior of the 4th Industrial Revolution and smart factory-related technologies by using the expanded UTAUT. Through this, by grasping which influencing factors affect the introduction and acceptance of related technologies, it is to derive strategies for responding to the fourth industrial revolution by manufacturing companies and accepting smart factory related technologies. A survey was conducted on various manufacturing companies, and 167 copies were used for research. As a result of the testing of research hypotheses, performance expectation, social impact, promotion conditions, network effect, and innovation have a positive (+) significant effect on acceptance intention. However, expectation of effort had a positive (+) effect on acceptance intention, but was not significant. Acceptance intention was tested to have a positive (+) significant effect on acceptance behavior. Therefore, factors that should be improved by individual manufacturing companies in the process of responding to the 4th industrial revolution and the introduction and acceptance of smart factory-related technologies are clearly presented.

Groundwater Resources Management with ChatGPT: Harnessing AI for Quantitative and Qualitative Approaches (지하수 수량 및 수질 관리를 위한 ChatGPT의 활용)

  • Eungyu Park
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.12-12
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    • 2023
  • 지하수자원 관리의 정량적 및 정성적 측면에 있어, 최첨단 인공지능 언어 모델인 ChatGPT의 혁신적인 기능이 활용될 수 있다. 본 발표에서는 지하수 자료에 대한 분석과 도출된 문제의 중요도에 따른 목표를 설정, 그리고 지하수 관리 전략 개발에 있어서의 ChatGPT 활용 방법을 논의할 것이다. 이를 위한 구체적 사례로, 지하수자원 관리에 활용될 수 있는 다양한 도구들의 개발과 고도화에 ChatGPT가 기여하는 방식을 살펴볼 것이다. 이러한 개별 도구들은 지하수자원 관리 결정에 있어 더 나은 예측 및 평가를 제공하여, 지하수 자원 관리의 효율성을 도모할 수 있다. 또한, ChatGPT의 문제 발견 및 해결책 제안 능력에 대해서도 다룰 것이다. 이를 통해 지하수 관리에 있어서의 다양한 문제를 식별하고, 이해당사자들이 보다 효과적으로 대응할 수 있는 방안을 찾아낼 수 있을 것이다. 또한 ChatGPT가 제공하는 다양한 정보 및 문제에 대한 솔루션 접근 방식을 활용한 브레인스토밍 방법을 설명할 것이다. 추가적으로, 일반 인공지능(AGI)의 개발에 근접하면서 지하수 관리의 자동화 및 가속화 그리고 산업 및 환경에 미칠 수 있는 영향에 대해 고찰해 볼 것이다. 이를 위하여, ChatGPT와 같은 인공지능 기술이 더욱 고도화되고 향상되면서, 지하수 관리 및 관련 분야에서의 의사결정, 계획 수립, 그리고 모니터링과 같은 작업들이 어떻게 변화할지에 대하여 토의할 것이다. 본 발표는 지하수 자원 관리 분야에서 ChatGPT와 같은 인공지능 기반 접근법의 가치를 보여주며, 복잡한 지하수 환경 문제를 해결하는 데 있어 첨단 기술의 활용 가능성을 강조할 것이다. 또한, AGI가 등장할 때까지 여전히 요구되는 지하수 분야 도메인 지식과 전문기술의 중요성을 강조할 것이다. 지하수 관리자들의 도메인 지식과 전문적 기술은 인공지능 기반 도구와 결합되어 보다 정확한 분석, 예측 및 해결책 도출을 가속화하며 정교화할 것이다. 결론적으로, 지하수 관리에 대한 종합적인 이해와 전문성을 갖춘 전문가들의 인공지능 기술활용은 지속가능한 지하수의 첨단 관리 효과적 달성에 중요한 계기가 될 것으로 판단한다.

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Development and Application of Private-focused Digital Public Service Evaluation Framework: Focused on AHP Analysis (민간 중심 디지털 공공 서비스 적합성 평가 프레임워크 개발 및 시범 적용 연구: AHP를 중심으로)

  • Sangjun Lee;DaeChul Lee
    • Journal of Information Technology Services
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    • v.22 no.2
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    • pp.71-92
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    • 2023
  • Globally, under the leadership of advanced ICT countries, the private sector is promoting various policies to promote the digital transformation of public services. Looking at the research trend, design of public service indicators, development of evaluation system, and empirical research are being carried out steadily, but there are insufficient research cases on models in which the private sector participates in the planning, development, and operation of public services. In this study, Private-centric digital public service suitability evaluation indicators were discovered through interviews with experts in various fields, and weights for each indicator were analyzed through AHP evaluation. In addition, by applying the analysis results to 18 digital public services on a trial basis, the importance and priority of evaluation indicators for each service were derived, and at the same time, the evaluation framework was designed and applied to diagnose implications. As a result of the study, 'social utility', 'corporate acceptability', and 'public acceptability' were selected as the top three indicators of suitability evaluation. At this time, it was analyzed that the weight of the 'company acceptability' index, which includes sub-indices such as 'service profitability', 'service scalability', and 'private initiative possibility', was the highest among the three top indicators. As a result of the demonstration for public services, "IoT facility unmanned remote monitoring service", "blockchain real estate transaction service", and "digital twin disaster prediction service" were evaluated as the most suitable public services for the transition to the private sector.

Analyzing the Characteristics of User-Participation-based Idea Platforms Depending on their Classification (사용자 참여형 아이디어 플랫폼의 유형별 특성 분석)

  • Choi, Seungyeon;Park, Jae Wan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.8
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    • pp.481-490
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    • 2016
  • Today, the advance of a community tool such as a SNS enables users to easily share information each other and quickly deliver various opinions to suppliers. The suppliers are trying to create new value through co-creation strategies in order to satisfy rapidly and variously changing user's needs. User-participation-based idea platforms are emerging as a open innovation space that can provide user participation and interaction between suppliers and users. However, although each idea platform has specific advantages in each stage of a development process, this development process is not generalized as one complete, integrated development process. Thus, the development of an effectively integrated process, which includes advantages in each stage of the process, is needed. This research aims to analysis the characteristics of idea platforms based on the classification of idea platforms as a basic study for proposing a new development processes of them. This research will contribute to the guideline for developing a new user-participation-based idea platform.

A Study on the Continues Use Intention of Artificial Intelligence RPA in the Financial Industry (금융업의 인공지능(AI) RPA 지속사용의도에 관한 연구)

  • Kyeong-Rok Seo;Hyeon-Suk Park
    • Industry Promotion Research
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    • v.8 no.1
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    • pp.55-68
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    • 2023
  • The purpose of this study is to investigate the factors that influence the intention to continuously use the RPA program used in the financial industry for those working in the financial industry. In particular, the purpose of this study is to understand the will to accept and the perception of acceptance conflict by considering the characteristics of individuals in the relationship between work and information technology. As a result of the study, it can be confirmed that the RPA system based on intelligent process automation including artificial intelligence should be further strengthened in the transformation of a digitalized enterprise rather than the RPA based on simple task automation that is currently most used. In general, the phenomenon of cognitive dissonance was prominent for the adoption of new technology, but the phenomenon of cognitive dissonance did not appear for the continued use of RPA in the financial industry. Able to know. In the future in the financial industry, it is thought that the change in the labor organization will be accelerated as the suitability of repetitive tasks and technologies is increased.

Preliminary Teachers' Perception of Elementary Classes Based on Edutech: focusing on K Teachers' College (에듀테크 기반 초등수업에 대한 예비교사들 인식: K교육대학교의 사례를 중심으로)

  • Tecnam Yoon
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.127-132
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    • 2023
  • The rapid development and progress of information and communication technology are bringing about changes in the field of education, and innovative methods in teaching-learning have been introduced and applied a lot in the actual field starting with the pandemic. Reflecting this trend, the purpose of this study is to examine the perception of prospective elementary school teachers on the use of edutech, which is widely used in the educational field after COVID-19. To this end, I analyzed the results of 7 major ideas selected at the Edutech Utilization Competition held by K University of Education and the focus group interview conducted with 2 pre-service teachers. As a result of the analysis, it was found that prospective elementary school teachers valued the necessity and importance of edutech-based classes. In addition, they were positively aware of the educational effect of edutech-based classes. To sum up, it could be predicted that edutech classes are also linked to the policies and plans of the Ministry of Education, and will play an important role in effectively guiding future learners while achieving the goals set by the curriculum.

Game Platform and System that Synchronize Actual Humanoid Robot with Virtual 3D Character Robot (가상의 3D와 실제 로봇이 동기화하는 시스템 및 플랫폼)

  • Park, Chang-Hyun;Lee, Chang-Jo
    • Journal of Korea Entertainment Industry Association
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    • v.8 no.2
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    • pp.283-297
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    • 2014
  • The future of human life is expected to be innovative by increasing social, economic, political and personal, including all areas of life across the multi-disciplinary skills. Particularly, in the field of robotics and next-generation games with robots, by multidisciplinary contributions and interaction, convergence between technology is expected to accelerate more and more. The purpose of this study is that by new interface model beyond the technical limitations of the "human-robot interface technology," until now and time and spatial constraints and through fusion of various modalities which existing human-robot interface technologies can't have, the research of more reliable and easy free "human-robot interface technology". This is the research of robot game system which develop and utilizing real time synchronization engine linking between biped humanoid robot and the behavior of the position value of mobile device screen's 3D content (contents), robot (virtual robots), the wireless protocol for sending and receiving (Protocol) mutual information and development of a teaching program of "Direct Teaching & Play" by the study for effective teaching.

Telecommunication Service Usage as Predictor of the Timing of Handset Buyers' Replacement Purchases (통신서비스 이용행태 분석을 통한 휴대폰 교체기간 예측)

  • Park, Hyun Jung;Kim, Sang-Hoon
    • Asia Marketing Journal
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    • v.7 no.2
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    • pp.47-69
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    • 2005
  • With the explosive growth of mobile products industry, tons of newer versions of products are putting on the market. From the marketer's perspective, understanding consumers' replacement purchases, especially the replacement timing, is essential to product planning and selling. This study presents an approach to finding out factors influencing the timing of buyers' replacement purchases of cell phones, using duration analysis; a hazard function specification is applied to describe consumers' replacement timing decision. Based on the data collected from a mobile telecommunication company, five categories of factors have been inspected. These are consumer's innovative service usage, data service usage, voice service usage, participation in loyalty programs, and the demographic characteristics. The results of the study are as follows. Firstly, the positive coefficient of 'the number of related services used' suggests that the consumers who have more usage knowledge tend to replace faster. Secondly, customers participating in the membership service are positively associated with early replacement purchases. Lastly, younger customers(vs. older) and male(vs. female) customers turned out to replace cell phones earlier.

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