• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.191-192
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• 2016

The purrpose of this study is to develop safety education program to prevent child accident using serious game. Specially children need systematic education program specially cognition of accident. Serious game has entertain and education, and it can make game stage using storytelling about variable accident situation. Using serious gmae for preventing accident, it includes useful subjects such as safety education, prevent strategies, crisis management, problem solving accomplishment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.259-266
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• 2021

Recently, the financial industry has seen a dramatic change due to the development of innovative technologies such as FinTech, but there is a lack of research on the digital level of financial institution workers. This study analyzes factors that affect the willingness of financial institution workers to accept digital innovation and to examine the relationship between acceptance intention and business performance. Based on the theoretical basis of UTAUT, independent variables were divided into internal expectations, external influences, facilitation conditions, and employment risks. Survey data of 100 bankers at N bank were analyzed using SPSS and AMOS 18. Studies have shown that internal expectations and external influences have positive effects on the acceptance intention of financial institution workers, and that facilitation conditions, employment risks do not. This study found a significant relationship between acceptance intention and business performance and confirming that acceptance intention has a direct and indirect impact on business performance. Study findings could be a reference to enhancing the willingness to accept digital innovation technologies and developing ways to improve business performance by validating factors that affect the willingness of financial institution workers to accept digital innovation.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.845-852
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• 2018

This study has developed a preventive launcher from smartphone addiction for the digital generation and the contents recommendation based on machine learning which used multiple and collective intelligence. This could provide convenient digital nurturing experience for the parents who fear their children's over use of digital devices and also suggest individually adaptive digital learning methods that enhance the learning efficiency and pleasurable and safe learning environment for the children. Suggested application is a kind of gamification launcher that protects children from harmful contents and from smartphone addiction with time limit settings. For parents who find difficulty choosing from various kinds of contents and applications for education, this suggested system could provide a learning analytic report based on big data after collecting and analyzing the data of their children's learning and activities and recommend contents necessary for their kids using recommended algorithm by collective intelligence.

• Journal of Broadcast Engineering
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• v.26 no.4
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• pp.356-367
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• 2021

With the recent development of IoT and artificial intelligence technology, research and applications for optimization of real-world problems by collecting and analyzing data in real-time have increased in various fields such as manufacturing and smart city. Representatively, the digital twin platform that supports real-time synchronization in both directions with the virtual world digitized from the real world has been drawing attention. In this paper, we define a digital twin concept and propose a digital twin platform prototype that links real objects and predicted results from the virtual world in real-time by utilizing the oneM2M-based IoT platform. In addition, we implement an application that can predict accidents from object collisions in advance with the prototype. By performing predefined test cases, we present that the proposed digital twin platform could predict the crane's motion in advance, detect the collision risk, perform optimal controls, and that it can be applied in the real environment.

• Korean Journal of Heritage: History & Science
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• v.56 no.1
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• pp.6-19
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• 2023

As data management and intelligence capability become proxy indicators of national power, the risk provoked by high depending on digital technology ironically increases. The quicker the changes come to be, the more important digitizing existing data and management of digital data are. The management of archaeological data could not be exceptional. It has to be performed in a more comprehensive, systematic and rapid manner. In order to perform the task, the nature of archaeological data contained in the digital archive should be properly recognized in advance: the primary data are generated by excavation as a process destroying their sources, the data are enormous in type and quantity, including long-term and various human experience, and the natural extinction of primary data in handwritten form is likely to be more crucial than in any other discipline. These characteristics of archaeological data unimaginably devastated the possibility of recovering archives, when we face a digital dark age. Considering both recent trend and the nature of archaeological data mentioned above, we can derive strategies for building a sustainable archaeological digital archive. As an archaeology-major consumer of the digital data, I propose four strategic considerations: ① establishing a system of digital data literacy; ② enhancing evaluation and capability of data reuse; ③ building an international data sharing system; ④ developing it into the platform for digital archaeology.

• Review of KIISC
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• v.30 no.5
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• pp.35-44
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• 2020

정보화 시대의 도래와 함께 원자력발전소 등 사회 간접자본의 중요 시설에서 운영되는 각종 장치들 역시 디지털화되면서 기존에 존재하지 않았던 사이버 공격에 대한 위협이 현실화되고 있다. 이러한 중요 사회 간접자본 등의 운영에 위협을 가하는 행위는 사회적으로 경제적으로 매우 큰 재난을 발생시킬 수 있기 때문에 공격 발생 이전에 사전 방어 체계를 구축해야 하는데, 이때, 실질적으로 위협이 되는 취약점의 존재 여부를 사전 인지하는 것이 매우 중요하다. 이를 위하여 본 논문에서는 원자력발전소의 계측제어계통에서 운영되는 국산화된 디지털 장치에 대하여 관련 취약점을 확인하고 확인된 취약점의 실질적인 위험도를 장치의 운영환경 특징을 반영하여 도출하며, 주요 기기의 운영 규제지침의 준수 여부를 점검하는 도구의 개발 결과를 소개한다. 본 논문은 원자력발전소 상에서 운영되는 시스템을 주요 대상으로 작성되었다.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.87-92
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• 2014

We have noted a possibility of big data as a solution of social problem and pending issue. At the same time big data has a problem of privacy. Big data and privacy were in conflict. In this paper we pointed out that issue and propose a planning of big data based on privacy using case study of advanced country.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.39-43
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• 2014

Electronic monitoring system was recently introduced as an effective means of controlling certain criminal offenders. Korean society manages ex-convicts only in reliance on the electronic monitoring system, which has a clear limit. For this reason, The reorientation program should be put before anything to subdivide the perpetrators equipped with the electronic monitoring device and separate them from the others from the start, or identify their criminal propensity and heal them.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.1-10
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• 2012

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The finite failure nonhomogeneous Poisson process models presented and the life distribution applied exponential and log shaped type hazard function. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and coefficient of determination.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.179-184
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• 2015

An app is designed and developed for safe use of cosmetics by notifying the expiration date of cosmetics. According to increasing uses of cosmetics for modern people, the expiration date of cosmetics is becoming more important. The app proposed in this paper will be used for self management. People may manage themselves by registering the expiration date of their cosmetics. The cosmetics are registered and managed by category. This app also provides some beauty tips depending on the skin types of people.