• The Journal of Bigdata
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• v.6 no.2
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• pp.181-195
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• 2021

Interest in the transition to MyData beyond the use of personal data is high worldwide. In order for the ideology of MyData to be realized, various useful MyData services would be developed in practice. Above all, convergence must be premised for the development of MyData. This study proposed strategies for activating MyData convergence services from four perspectives (BLTS: Business, Legal, Technology, and Social). In particular, the purpose w as to revitalize domestic convergence services by comparing European policies and services, which are the most pioneering in the field of MyData, with the domestic situation. It is expected that this study will provide balanced and progressive ideas in the MyData industry and policies.

• Journal of IKEEE
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• v.24 no.3
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• pp.766-776
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• 2020

Recently, as interest in machine learning (ML) has increased and research using ML has become active, it is becoming more important to find an optimal hyperparameter combination for various ML models. In this paper, among various hyperparameters, we focused on ML optimizers, and measured and compared the performance of major optimizers using various datasets. In particular, we compared the performance of nine optimizers ranging from SGD, which is the most basic, to Momentum, NAG, AdaGrad, RMSProp, AdaDelta, Adam, AdaMax, and Nadam, using the MNIST, CIFAR-10, IRIS, TITANIC, and Boston Housing Price datasets. Experimental results showed that when Adam or Nadam was used, the loss of various ML models decreased most rapidly and their F1 score was also increased. Meanwhile, AdaMax showed a lot of instability during training and AdaDelta showed slower convergence speed and lower performance than other optimizers.

• Journal of the Society of Disaster Information
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• v.13 no.1
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• pp.106-117
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• 2017

This study is to present to be the efficient demonstration of the life protection systems which is developed for the prevention and prompt correspondence for social disaster. It is to suggest to be conducted prompt accident prevention and correspondence based on the type of accident and developing technology development of life protection systems for social disaster using convergence technology like directional speaker system.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.47-48
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• 2021

사용자 행동 인식(HAR)은 사용자의 행동을 분석하여 사용자의 현재 행동을 추측하는 것이며, 센서 데이터에서 특성을 추출하는 것이 중요하다. 본 연구에서는 다양한 특징 추출 기법을 사용하여 기계학습 모델을 비교한다. 변수마다 특성에 맞는 기법을 사용했으며, 정확도와 Kappa 통계량, F1 score 모두 SVM 모델에서 95.2%, 94.2%, 95.1%로 가장 높았다. 이는 기계학습 모델에서 특징 추출 기법을 사용하여 우수한 정확도를 달성할 수 있음을 보인다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.570-573
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• 2021

오늘날 SNS를 사용하는 사람들이 증가함에 따라, 생성되는 데이터도 많아지고 종류도 매우 다양해졌다. 하지만 유익한 정보만 존재하는 것이 아니라, 부정적, 반사회적, 사행성 등의 부적절한 콘텐츠가 공존한다. 때문에 사용자에 따라 적절한 콘텐츠를 필터링 할 필요성이 증가하고 있다. 따라서 본 연구에서는 SNS Instagram을 대상으로 콘텐츠의 해시태그를 수집하여 데이터화 했다. 또한 k-평균 군집화 기법을 적용하여, 유사한 특성의 콘텐츠들을 군집화하고, 각 군집은 실루엣 계수(Silhouette Coefficient)와 키워드 다양성(Keyword Diversity)을 계산하여 콘텐츠의 적절성을 판단하였다.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.35-42
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• 2015

As the value of Bigdata has been recognized importantly, public agencies including the government, private sector, etc. began to have an interest in Big Data. As there are sources of various data, and a variety of planning and analysis methods based on these sources has emerged, It is true that Bigdata will become a tool for creation of the new high qualitied information and decision making based on new insights. The purpose of this study is to find an alternative to the subway congestion problem that is not improved even though the various measures. In this study, we tried to explore approaches for ways to improve the congestion of the Seoul Subway using Seoul Metropolitan public data. Lastly, this study derived a policy alternative to establish new bus route that runs around the metro station that have a high level of congestion.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.77-83
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• 2015

This study, according as the limits on learning and unsatisfaction about e-learning are emerging and the structural contradictions of the e-learning industry are continuing, was carried out to present the policy alternatives for solving these. As a means for overcoming the limitations of e-learning and the healthy growth of e-learning industry, this study presents the application of Bigdata in e-learning and proposes several practical challenges of policy. Policy action plans are technology development support, professional manpower support, SME application support, legal improvement.

• International Journal of Contents
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• v.14 no.3
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• pp.27-31
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• 2018

Social network service (SNS) data related to green tourism were used to estimate preferred tour sites and users' interests. Keywords related with green tour activities were employed to search the SNS data. SNS data were collected from Korean blogs such as Naver and Daum from June $1^{st}$ to August $31^{st}$ between 2015 and 2017 using text-mining solution. During the study period, seven hundred and five posts were analyzed. Associated words that frequently co-occurred with keywords were classified into different categories depending on the nature of associated words. Associated words included swimming pools and camping sites (location); experience and swimming pools (attribute); and water play and culture (culture/leisure). Our data suggest that SNS users with experience of green tourism in Korea exhibited interest in green tourism with swimming pools, camping sites, experience, water play and/or culture rather than particular popular sites. Based on the findings, it is recommended that preferred facilities such as swimming pools should be provided at green tourism sites to meet the users' needs and to facilitate green tourism.

• The Journal of Bigdata
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• v.4 no.1
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• pp.129-142
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• 2019

Construction projects have experienced many failures due to incomplete production environments. Thus, the purpose of this study is to use ICT resources leased during the construction period at the construction site and to introduce the Mobile Cloud Computing Service, which utilizes Cloud Computing Service and mobile devices such as smart phones, tablet PCs, and notebooks instead of physically wired communication networks. The characteristics of Mobile Cloud, such as rapid accuracy, shared collaboration, and ubiquity, will affect the social network among various construction site participants. we conducted empirical research on the introduction of Mobile Cloud to promote information exchange and convergence among the participants and mutual trust, ultimately improving the project performance.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.191-198
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• 2019

This paper investigates different types of leadership found in foreign coaches in charge of the Korean national soccer team. To that end, news articles published during the tenure of those coaches were crawled for analysis. The analysis highlighted the following results. First, successful sports leaders showed their own specific types of leadership. Second, failed sports leaders showed specific types of leadership. The findings have the following implications. The leadership established based on the analysis results have practical implications in that they suggest the types of effectiveness leadership that are required of sports leaders in managing and leading athletes whilst generating tangible results and performance.