• Journal of Digital Convergence
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• v.14 no.3
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• pp.243-250
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• 2016

The importance of platform businesses in the global market is growing, but in Korea, platform businesses with a global competitive edge are rare. This study compared the competitiveness of the local and international platform businesses by analyzing the six success factors of platform businesses. It surveyed 104 professionals in ICT regarding the competitiveness of SNS services (Kakao Talk, Facebook), mobile payment systems (Samsung Pay, Apply Pay), digital content (Naver, YouTube), online shopping (G Market, Amazon) and education (K-MOOC, MOOC). In sum, the local platform business sector, compared to its U.S. counterpart, is lagging behind in creativity, value creation, cost reduction, networking effects and the ability to build, change and develop new ecosystems.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.243-260
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• 2020

The purpose of this study is to analyze measures to promote a private finance initiative aimed at public facility regeneration in the midst of sharp increase in local financial burden due to the low birthrate and rapidly aging population. In particular, the study looked at the case of promoting a private finance initiative through a local platform aimed at public facility regeneration in Narashino, Japan. The study is based on the relevant systems and policies, and government documents and statistical data on the Narashino case. The results show that the local platform helps the local government and participants share business expertise and experiences, leading to improvements in their expertise and business capability. The local platform allows them to identify and discuss potential business ideas in advance, which in turn encourages private investment business.

• KIISE Transactions on Computing Practices
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• v.22 no.5
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• pp.225-234
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• 2016

The emergence of diverse medical Internet of Things (IoT) devices has facilitated the collection and analysis of medical contexts to assess health conditions. However, the complexity of IoT-based systems for health assessment is quiet high and it requires high development cost, since the designs of the systems highly depend on the heath aspects to be evaluated. In this paper, we propose a design of the platform that provides generic functionalities to various health evaluation applications. We first define a metric for computing a health index, which is a generic health assessment model. And, based on the proposed generic health index, we propose a design of the platform to evaluate diverse aspects of the health including its hardware architecture, software architecture and database design. We describe the result of developing Rainbow Toilet System based on the proposed platform, and assess the practical applicability.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.287-294
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• 2022

The purpose of this study is to define the concept of value-added services on online music platforms, put forward a model of users' willingness to use value-added services on online music platforms, and explore the way its influencing factors affect users' willingness to use. This study is based on the stimulus-response model, combined with the characteristics of online music service platforms, using information value, social value, and entertainment value as independent variables, using flow experience as a mediating variable, and self-awareness as a moderator variable, and then researches on the use of users. influence of will. Empirical analysis was carried out in this study using SPSS and AMOS statistical analysis tools. It is verified that the value-added services of online music platforms have a positive and positive impact on consumers' flow experience and usage intention. This research can fill in the theoretical defects of online music platform service, which has positive and important significance for music platform operators to improve their service capabilities and improve their income.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.1
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• pp.50-56
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• 2014

Recently Android apps utilizing location based services are widely used. Understanding the operation of the GPS location provider, among various location providers supported in the Android platform, is an essential task for developers using the Android. This paper, based on the analysis of source codes of the GPS subsystem in the Android platform, shows clearly and orderly the operation of the GPS location provider, in key threads' perspectives as well as in a stepwise fashion from the initialization up to the final location report steps.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.287-288
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• 2019

본 논문에서는 대용량 화물 DTG 데이터 분석을 위한 빅데이터 플랫폼을 설계 및 구현한다. DTG(digital tacho graph)는 차량운행기록을 실시간으로 저장하는 장치로서, 차량의 GPS, 속도, RPM, 제동유무, 이동거리 등 차량운행 관련 데이터가 1초 단위로 기록된다. 차량 운행 패턴 및 분석을 하기 위해서는 DTG 데이터의 빠른 처리가 필수적이며, 특히 대용량 DTG 데이터를 가공 및 변환하기 위해서는 별도의 플랫폼이 필요하다. 본 논문에서는 오픈소스 기반의 빅데이터 프레임워크인 스파크(Spark)를 이용하여 대용량 화물 DTG 데이터의 전처리 플랫폼을 구현하였다. 실제 대용량 화물 DTG 데이터를 대상으로 데이터를 변환 및 지도상에 표현해 보인다.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.375-380
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• 2019

In this paper, we study learning process mining and analytic technology based on open education platform. A study on mining through personal learning history log data based on an open education platform such as MOOC which is growing in interest recently. This technology is to design and implement a learning process mining framework for discovering and analyzing meaningful learning processes and knowledge from learning history log data. Learning process mining framework technology is a technique for expressing, extracting, analyzing and visualizing the learning process to provide learners with improved learning processes and educational services.

• The Journal of Bigdata
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• v.5 no.1
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• pp.11-27
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• 2020

In this paper, we developed a big data platform to store, process, and analyze effectively on such education longitudinal study data. And it was applied to the Seoul Education Longitudinal Study(SELS) to confirm its usefulness. The developed platform consists of data preprocessing unit and data analysis unit. The data preprocessing unit 1) masking, 2) converts each item into a factor 3) normalizes / creates dummy variables 4) data derivation, and 5) data warehousing. The data analysis unit consists of OLAP and data mining(DM). In the multidimensional analysis, OLAP is performed after selecting a measure and designing a schema. The DM process involves variable selection, research model selection, data modification, parameter tuning, model training, model evaluation, and interpretation of the results. The data warehouse created through the preprocessing process on this platform can be shared by various researchers, and the continuous accumulation of data sets makes further analysis easier for subsequent researchers. In addition, policy-makers can access the SELS data warehouse directly and analyze it online through multi-dimensional analysis, enabling scientific decision making. To prove the usefulness of the developed platform, SELS data was built on the platform and OLAP and DM were performed by selecting the mathematics academic achievement as a measure, and various factors affecting the measurements were analyzed using DM techniques. This enabled us to quickly and effectively derive implications for data-based education policies.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.627-635
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• 2022

As the non-face-to-face situation continues for a long time due to COVID-19, the underlying technologies of the 4th industrial revolution such as IOT, AR, VR, and big data are affecting the metaverse platform overall. Such changes in the external environment such as society and culture can affect the development of academics, and it is very important to systematically organize existing achievements in preparation for changes. The Korea Educational Research Information Service (RISS) collected data including the 'metaverse platform' in the keyword and used the text mining technique, one of the big data analysis. The collected data were analyzed for word cloud frequency, connection strength between keywords, and semantic network analysis to examine the trends of metaverse platform research. As a result of the study, keywords appeared in the order of 'use', 'digital', 'technology', and 'education' in word cloud analysis. As a result of analyzing the connection strength (N-gram) between keywords, 'Edue→Tech' showed the highest connection strength and a total of three clusters of word chain clusters were derived. Detailed research areas were classified into five areas, including 'digital technology'. Considering the analysis results comprehensively, It seems necessary to discover and discuss more active research topics from the long-term perspective of developing a metaverse platform.

• KDI Journal of Economic Policy
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• v.33 no.4
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• pp.85-118
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• 2011

This paper uses the horizontal regulation system as the base analysis framework. The study clearly defines the regulatory goals of the followings: the horizontal cross-ownership regulations on program provider (PP) and platform provider, the vertical regulation on cross-ownership between PP and platform operator, the regulation on cross-ownership of program provider by terrestrial broadcasting company, and the regulation on cross-ownership between terrestrial broadcasting company and platform provider. Then, by analyzing the conformity between goals and criteria of regulations and the adequacy of the regulation level according to regulatory purposes, this paper examines the justifiability of each regulation and extracts improvement measures that suite regulatory purposes. This analysis finds following appropriate measures: replacing the horizontal cross-ownership regulation on PP with conduct regulations, such as designating major broadcasting programs or replacing the current criterion of cross-ownership regulation from sales to the audience market share; reshaping the horizontal cross-ownership regulation on platform provider so that system operator (SO), satellite broadcaster and Internet protocol television (IPTV) operator would be applied by the same regulation based on the number of subscribers of pay television services; and discontinuing other cross-ownership regulation. In this way, the study shows that with appropriate regulations on cross-ownership of PP, there would be no need for additional regulation on vertical integration between PP and platform operator. On the other hand, given that the regulation on terrestrial broadcasting cross-ownership of PP could be justified only by regulatory purpose of the protection of the diversity of public opinions, it would be desirable to replace the current criteria of the number of PPs with the criteria of the audience market share. Lastly, the study shows that when platform operator is targeted by the cross-ownership regulation based on the number of subscribers of pay television services, the regulation on cross-ownership between terrestrial broadcasting company and platform provider should be replaced with conduct regulations, such as designating must-offer channels and major broadcasting programs.