• Journal of Internet of Things and Convergence
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• v.5 no.2
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• pp.67-72
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• 2019

As Internet voting can take place regardless of a voter's location, the participation rate of the voters would be increased and economic costs will be reduced. But the drawback of it is that all participants have to trust the election management server. If the server colludes with the specific candidate, the other candidates cannot prove rigged election. In addition, majority of researches on Internet voting are mainly focused on the voting restricted by the region and the country. Thus, it's not appropriate for the election in Internet community such as YouTube channels. As the Internet community is composed of members from all around the world, the new type of voting model is needed. In this study, we propose the smart contract based Internet voting model applicable on the blockchain network. The proposed smart contract model consists of candidate registration, voter registration, voting and counting stages. In the proposed model, anonymity of the voter is assured in the voter registration and voting stages, and all candidates can confirm the fairness of the election in the counting stage.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.149-161
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• 2018

As a result of analyzing the relationship between the smart growth principle and the regenerating factors of the port waterfront city, it was found to be highly related to the port waterfront regeneration plan. Factors that are related to the application of smart growth principle derived from association analysis are as follows: ⯈ community development suitable for walking ⯈ differentiated and attractive community building with definite place, ⯈ open space, farmland, beautiful natural scenery, environmental preservation, ⯈ strengthening and inducing development for existing communities, and providing diversity of transportation options. However, in the Jeju port redevelopment plan, the principles such as ⯈ complex land use ⯈ advantage of high-density architectural design method, ⯈ various housing opportunities and options, etc., need to be applied in implementation design. Since Jeju city and Jeju port possess the strong characteristic features of port waterfront city, so it is necessary to develop jointly applying smart growth principle through integrated port waterfront city regeneration plan.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.515-525
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• 2020

The purpose of this study is to suggest implications for the development of the senior care industry in Korea and how to apply it to the Korean market. For this study, a case analysis study was conducted on the successful business model of 'Driving Miss Daisy^®'. For the development of Korea's senior care industry, understanding of senior, establishing infrastructure for community care, and improving the treatment of professional personnel care should be preceded. In order to apply 'Driving Miss Daisy^®' to the Korean market, it was suggested that it is necessary to reduce regulations, develop differentiated services, establish linkage systems with various service institutions in the community, establish cooperative models between large and small businesses and startups.

• The Journal of Korean Association of Computer Education
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• v.7 no.1
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• pp.151-165
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• 2004

The purpose of the study was to explore the potential of the Cluster Analysis and the Community Analysis of Social Network Analyses family in job-task analysis for curriculum design. These two multivariate analysis techniques were expected to bring us relevant and scientific information as well as inspiration in investigating the structure and nature of job system, which are critical in developing relevant curriculum. To pursue the purpose mentioned above, qualitative and quantitative data were collected from "S" Corporate, a major large high-tech manufacturing company, and analyzed by relevant analytic procedures. Results indicate that there are discrepancies between formal job structures and actual ones. Following Community analysis showed that the presence of center-marginal structure along with clustering structure in the current job formation. Interpretations of the results of the study are provided in light of past research and additional data collected from the study. Implications of the study are also discussed along with suggestions for future research.

• Journal of The Korean Association of Information Education
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• v.13 no.3
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• pp.273-280
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• 2009

The internet becomes a new communication tool in the knowledge and information society and the people are expanded at the place of information interchange and exchange of view. In recent robot education institutions provide their own official homepages to introduce the robot educational resources. But because they have restrictive searching the functions and providing general robot education resources and don't offer a place that teachers can express their thoughts and share common interests with other users, online community among teachers for robot education and users couldn't have built. In this paper, we propose an Online Robot Education Community(OREC) that teachers and users in different robot education institutions can interchange or share their technical information, learn robot techniques, participate in discussion of their experiences on work, share their common interests, and be provided updated latest news in real-time.

• Journal of Engineering Education Research
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• v.16 no.1
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• pp.3-14
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• 2013

The previously developed practical inquiry activity supporting tools, deduced from the design principles and implementation principles based on the study of precedent researches and theories, applicable to conceptual learning in engineering education were implemented to an on-line learning community, a web-based Windows application, to find out its effectiveness in actual classroom situation through experimental research. The On-line learning community includes the inquiry activity menu to implement learning procedure of inquiry based conceptual learning, the functions supporting the communication among participants, the information sharing function, the scheduling function of class and inquiry activity, the mentoring function, and the evaluation of on-line activities of learners. Experimental study were also conducted in order to analyze the effects of inquiry activity supporting tools on inquiry based conceptual learning in engineering education.

• Microbiology and Biotechnology Letters
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• v.42 no.4
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• pp.377-385
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• 2014

In this study, a wastewater treatment system for hypersaline wastewater utilizing the Hypersaline Wastewater Treatment Community (HWTC) has been developed. The hypersaline wastewater treatment efficiency and microbial community of the HWTC were investigated. The average removal efficiencies of chemical oxygen demand were 84% in an HRT of 2.5 days. Microbial community analysis, by denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rRNA gene fragments and 16S rRNA gene clone library, revealed community diversity. The 16S rRNA gene analysis of dominant microbial bacteria in 4% hypersaline wastewater confirmed the presence of Halomonas sp. and Paenibacillus sp. Phylogenetic analysis suggested that the taxonomic affiliation of the dominant species in the HWTC was ${\gamma}$-proteobacteria and firmicutes. These results indicate the possibility that an appropriate hypersaline wastewater treatment system can be designed using acclimated sludge with a halophilic community.

• Journal of Internet of Things and Convergence
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• v.4 no.1
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• pp.23-29
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• 2018

The purpose of study was to analyze the trends of 2005 to 2018 revised 'convergence technology research' through text network analysis using NetMiner4.0 program. Data analysis was conducted by using keyword analysis, centrality analysis of 653 authors' keyword from 177 journals. The results of the study are as follows. First, Research on Converging Technology has been studied steadily over the past 13 years in Department of Industry Convergence. Second, the results of the search term frequency analysis show that the 'convergence technology', 'technology convergence', 'convergence', 'design', 'convergence education', 'STEAM', 'convergence research' were used as the main keywords of convergence technology research. Third, Community analysis results show that five communities have been classified five categories according to the characteristics of the search terms 'only IT', 'Cultural industry utilizing Convergence contents', 'Technology innovation and research analysis' And patent development'. Based on these results, we proposed the future directions of convergence technology research.

• Knowledge Management Research
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• v.23 no.3
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• pp.1-22
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• 2022

This study aims to investigate the gamification effect of the badge awards, the most popular gamification process, on users participation behavior. This study also attempts to investigate the effect of tailored gamification, which designs the system of gamification differently based on users' characteristics, focusing on the level of online user information disclosure. For this, we collect and analyze data on 557 users and 1,048,020 answers from StackOverflow, an online Q&A community for developers. The results show that providing a badge is effective for increasing the amount of user participation, whereas providing a goal through the badge is partially effective for increasing the quality of participation. However, the moderating effect of whether users disclose their SNS information on the relationship between badge gaining and participation decrease is not statistically significant. For platform operators, our findings emphasize the importance of gamification design to enhance user engagement effectively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.419-427
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• 2021

Due to the effects of climate change and the reduction of the labor force due to COVID-19, the crop yield, harvest time, and cultivated area are rapidly changing every year. In order to respond flexibly to this situation, attempts to apply smart farm technology based on ICT (Information and Communication Technology) to individual farms are increasing. On the other hand, various stakeholders are trying to predict the yield of crops using artificial intelligence and IoT technology, but accurate prediction is difficult due to the lack of learning data. In this study, in order to overcome the data collection problem limited to a specific institution, a smart farmer service technology based on community mapping was developed in which farmers directly participate, input and share accurate data to predict production. In the process, analysis was performed on napa cabbage, which is a vegetable with a large price change compared to production.