• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.938-941
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• 2002

Small and medium enterprises have various problems that is the distributed process state, the method of receipt from custom, documentation change and so on related to the existing product design process. For that reason they require systematic analysis and smooth progress f3r each product design process. The solution is in this issue development of design management system far collaborative engineering. The aim of this system is to analyze the wrong existing process and to standardize product design process. Since this system is a server on web based Database with web identification, the client can overcome the limit of time, place and resource duplication. As a result product design process gets the greatest of efficiency in the various aspects.

• Journal of Community Nutrition
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• v.8 no.1
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• pp.16-23
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• 2006

This paper describes a methodology for conducting Community Nutrition research with rather than on people in a community to generate grounded theory. This collaborative grounded theory methodology incorporates local knowledge and wisdom and builds community leadership capacity through engaging community-based professionals and para-professionals in the research process. In addition to building capacity for participation and leadership in research, education and action, this approach can increase the validity and value of the research and facilitate its application in community led programs. The methodology has five components: background, study design, data gathering, data analysis and interpretation, and application of findings in community programming. Three stages of the data analysis component focus sequentially on each interview independently, comparing across interviews, and systematically testing theory developed in the first two.

• Journal of Distribution Science
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• v.14 no.4
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• pp.21-31
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• 2016

Purpose - This study examines how consignment and Vendor-Managed Inventory perform as supply chain collaboration programs. By using three key collaborative features, this study defines the collaboration programs and develops theoretical models of different supply chain systems. Research design, data and methodology - This study conducts sophisticated analysis on the supply chain systems by applying simulation modeling based on time-phased operations. The simulation model represents a two-stage supply chain system where a supplier sells a single item to a buyer, and it incorporates various operations. Results - In general, the simulation outcomes support that more advanced collaboration programs outperform less advanced ones. The analysis on the simulation outcomes identifies the significant value of information sharing in both collaboration programs. The specific conditions where the particular collaboration system outperforms the others are recognized. Conclusions - The outcome of this study supports that the supply chain system can improve its performance by having more collaborative features. This study provides business practitioners with guidelines to identify the circumstances that the specific collaboration program can fully exploit its advantages.

• ETRI Journal
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• v.43 no.4
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• pp.758-768
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• 2021

In this work, the secrecy of a typical wireless cooperative dual-hop non-orthogonal multiple access (NOMA)-enabled decode-and-forward (DF) relay network is investigated with the impact of collaborative and non-collaborative eavesdropping. The system model consists of a source that broadcasts the multiplexed signal to two NOMA users via a DF relay, and information security against the eavesdropper nodes is provided by a helpful jammer. The performance metric is secrecy rate and ergodic secrecy capacity is approximated analytically. In addition, a differential evolution algorithm-based power allocation scheme is proposed to find the optimal power allocation factors for relay, jammer, and NOMA users by employing different jamming schemes. Furthermore, the secrecy rate analysis is validated at the NOMA users by adopting different jamming schemes such as without jamming (WJ) or conventional relaying, jamming (J), and with control jamming (CJ). Simulation results demonstrate the superiority of CJ over the J and WJ schemes. Finally, the proposed power allocation outperforms the fixed power allocation under all conditions considered in this work.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.655-656
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• 2022

Among the analysis methods for a recommendation system, collaborative filtering is a major representative method in a recommendation system based on data analysis. A general usage method is a technique of finding a common pattern by using evaluation data of users for various items, and recommending a preferred item for a specific user. Therefore, in this paper, various algorithms were used to measure the index, and an algorithm suitable for prediction of user preference was found and presented.

• Journal of Korean Library and Information Science Society
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• v.54 no.1
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• pp.191-220
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• 2023

This research attempts to identify how members of an online community collaboratively engaged with particular social information behaviors and accomplished a defined collective action. While responding to the Sewol Ferry tragedy, MissyUSA members quickly communicated and mobilized a collective action, a full-page ad campaign in The New York Times. As a follow up study, this secondary analysis quantitatively analyzes the primary data from a previous study to explore potential relationships or underlying factors among the various identified information behaviors. In this study, nineteen of the previously identified information behaviors were analyzed using exploratory factor analysis, yielding a total of eight factors. The two major factors of shared representation/collective identification and mobilizing resources verified the findings of the previous study and are in line with the findings typical of political science. The three factors of collaborative decision-making, reaction to tension, and brainstorming were factors that maximized communication and mobilization online, without any face-to-face communication or physical organization. Three emergent factors of outburst of dissent, boycott, and planning explained how members used negative emotions of anger, referential information for boycott, and incubated next collective actions. Through exploratory factor analysis, this study verifies and expands on the findings of the previous study by identifying several emergent factors that relate to the collaborative information behaviors of an online community engaged in a collective action.

• Journal of the Korean Society of Tobacco Science
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• v.20 no.1
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• pp.108-114
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• 1998

This study was conducted to evaluate the techniques or analyzing tobacco smoke by statistical treatment method for the analytical data through Asia Collaborative Study V. In addition to five smoke components analysis, consisting of TPM, water, nicotine, NFDPM, and puff count of four cigarettes samples, statistical parameters such as mean, standard deviation, box-and-whisker plots, h plots, k plots, regression coefficients, reproducibility (R), and repeatability (r) were also calculated. Analysis of water content of cigarette smoke was the most difficult task, whereas puff count analysis was the easiest as well recognized by all laboratories. Analysis of nicotine and puff count accounted for both the lowest and the highest variation among four parameters. The water coefficients indicated more randomness or variation in the slops. The NFDPM data exhibited both types of deviations from linearity. Water content of sample D indicated the highest difference between two single results and between two interlaboratory test results. As a whole, KGTRI ranked higher in the analytical techniques for statistical evaluation of results when compared with the practices of 28 other laboratories.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.103-123
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• 2010

Recently, research community in Korea has shown a rapid growth in collaborating with Asian countries. In this study, we analyzed research collaboration among Asian countries using network analysis of co-authored papers as well as subject categories. The network of co-authored papers among Asian countries over the 5-year period since 2005 revealed that Japan, China, and Korea were positioned at the central part of the network and highly productive in collaborative research. In the analysis of the subject categories of co-authored papers in four different Asian regions with 2009 data, physics and material science were found the most productive subject fields in collaborative research in Northeast Asia. On the other hand, medical science was the most collaborative subject field in the remaining Asian regions.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.69-78
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• 2014

This study aims to investigate better predictors, among learner participation and interaction, for collective self-efficacy and achievement in a web-based collaborative learning environment. Interaction requires communication among two or more learners, while participation does not. In this study, interaction was measured by in-degree centrality and out-degree centrality based on the social network analysis perspective. Multiple regression analysis results from 53 college students who performed team project via online showed that in-degree centrality predicted collective self-efficacy and out-degree centrality predicted achievement, while participation was not a significant predictor.

• The Journal of Korean Association of Computer Education
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• v.18 no.3
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• pp.37-47
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• 2015

The purpose of this study is to review the concept mapping tools and provide implications for designing tools that support collaborative learning activities. For this purpose, representative concept mapping tools - Convince Me, Knowledge Forum, Cmaptools, Mindmeister, Belvedere - was analyzed by using the 3C(Communication, Coordination, Cooperation) framework. We have applied three research methods; 1) literature review on design principles of tools, 2) heuristic evaluation, 3) focus group interview. As a result, most of comcept mapping tools supported communication functions but partialy supported coordication and cooperation features.