• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.4
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• pp.131-142
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• 2018

In Korea, for the past 50 years, industrial parks have played an important role in economic growth as a cluster of national key industries. However, due to various problems of these old industrial parks, they are weakening competitiveness. It is necessary to be converted into a model for the management and fostering of high-tech industrial complex park by classifying them into development plans, management plans, and support plans according to types and characteristics of industrial parks. For this purpose, we propose CIPs (Connected-Industrial parks) using new technologies such as Cloud Computing, RFID, WSN, CPS, and Big Data analysis based on IoT. It is a hub that supports various services in transportation, warehousing and manufacturing fields while possessing and operating physical assets as concept. each CIP (Connected-Industrial park) is connected and expanded Through such CIPs, network-type collaborative manufacturing and intelligent logistics innovation enables cost reduction, delivery shortening, quality improvement.

• Korean Journal of Computational Design and Engineering
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• v.10 no.6
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• pp.444-454
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• 2005

Recently, the requirements of multi-resolution models of a solid model, which represent an object at multiple levels of feature detail, are increasing for engineering tasks such as analysis, network-based collaborative design, and virtual prototyping and manufacturing. The research on this area has focused on several topics: topological frameworks for representing multi-resolution solid models, criteria for the level of detail (LOD), and generation of valid models after rearrangement of features. As a solution to the feature rearrangement problem, the new concept of the effective zone of a feature is introduced in the former part of the paper. In this paper, we propose a feature-based non-manifold modeling system to provide multi-resolution models of a feature-based solid or non-manifold model on the basis of the effective feature zones. To facilitate the implementation, we introduce the class of the multi-resolution feature whose attributes contain all necessary information to build a multi-resolution solid model and extract LOD models from it. In addition, two methods are introduced to accelerate the extraction of LOD models from the multi-resolution modeling database: the one is using an NMT model, known as a merged set, to represent multi-resolution models, and the other is storing differences between adjacent LOD models to accelerate the transition to the other LOD. We also suggest the volume of the feature, regardless of feature type, as a criterion for the LOD. This criterion can be used in a wide range of applications, since there is no distinction between additive and subtractive features unlike the previous method.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.2
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• pp.217-236
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• 2005

This paper aims to analysis the production linkage relationships between large firm and its subcontracting firms, especially focus on the spatial network and collaboration network. For the purpose of it, the division of semiconductor in Samsung Electronics and its most important subcontracting firms are picked up for the case study. The empirical study show that the location distribution pattern of Samsung Electronic's subcontracting firms is concentrated very highly on the Kyeong-Ki Province and Chung-Nam Province in Korea, which is the location sites of Samsung Electronic's key plants as well as the best environment for business in Korea. And the major subcontracting firms seems to be in the hierarchic and vertical relationship with Samsung Electronics rather than horizontal and good collaboration network in this case.

• Child Health Nursing Research
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• v.13 no.4
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• pp.383-389
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• 2007

Purpose: In this study, the Internet game addiction level was assessed, and parent-child attachment level associated with the addiction was analyzed. Method: From December 5 to 23, 2005, self-reported questionnaire data were collected from 990 Busan City elementary school students of the 5th and 6th grades. The questionnaire consisted of questions about their characteristic features in playing Internet games based on the K-scale developed by KADO. The data were analyzed using the SPSS WIN 10.0 program. Frequency, percentage, arithmetic mean, and standard deviation, $X^2$-test, ANOVA analysis and Scheffe test were used to analyze the data. Results: 1. With regard to the level of Internet game addiction, 71.2% of the students responded that they were general users, and 6.3%, at high risk for addiction. Mean scores were 103.3 for the high-risk group, 77.7 for the potential risk group, and 55.86 for the general user group. The total mean was 63.74. 2. Mean scores for parent-child attachment levels were 97.1 and 99.6 for father and mother, respectively. Conclusion: These results suggest that a collaborative program to educate and counsel parents to increase the parent-child attachment level needs to be established in protection and recovery programs for Internet game addiction.

• The Journal of the Convergence on Culture Technology
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• v.6 no.4
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• pp.613-620
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• 2020

This study aimed to investigate the current state and trends of health literacy research conducted on female marriage immigrant in South Korea over the past 10 years. A total of 107 related studies were searched through the web database, and 10 of them that met the inclusion criteria were finally analyzed. Most of the studies conducted in the healthcare fields such as nursing. Of the 9 studies were descriptive study, and there were no intervention studies. Most of studies involving women from main country of origin such as Vietnam, China, and the Philippines, and many studies conducted convenience sampling of less than 200 subjects from some regions for reasons such as accessibility. As a tool for measuring health literacy, KHLAT was most frequently used. For future research, collaborative research with healthcare fields and other fields through interdisciplinary interaction is necessary, and a circumstance in which field workers actively participate in research should be prepared. In addition, further studies including larger sample and community-based intervention improve health literacy are needed. Finally, efforts to improve the methodological consistency in the application of health literacy tools and to develop standardized instruments are required.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.268-272
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• 2010

The research presented here represents a collaborative effort with the SFWMD on developing scenarios for future climate for the SFWMD area. The project focuses on developing methodology for simulating precipitation representing both natural quasi-oscillatory modes of variability in these climate variables and also the secular trends projected by the IPCC scenarios that are publicly available. This study specifically provides the results for precipitation modeling. The starting point for the modeling was the work of Tebaldi et al that is considered one of the benchmarks for bias correction and model combination in this context. This model was extended in the framework of a Hierarchical Bayesian Model (HBM) to formally and simultaneously consider biases between the models and observations over the historical period and trends in the observations and models out to the end of the 21st century in line with the different ensemble model simulations from the IPCC scenarios. The low frequency variability is modeled using the previously developed Wavelet Autoregressive Model (WARM), with a correction to preserve the variance associated with the full series from the HBM projections. The assumption here is that there is no useful information in the IPCC models as to the change in the low frequency variability of the regional, seasonal precipitation. This assumption is based on a preliminary analysis of these models historical and future output. Thus, preserving the low frequency structure from the historical series into the future emerges as a pragmatic goal. We find that there are significant biases between the observations and the base case scenarios for precipitation. The biases vary across models, and are shrunk using posterior maximum likelihood to allow some models to depart from the central tendency while allowing others to cluster and reduce biases by averaging. The projected changes in the future precipitation are small compared to the bias between model base run and observations and also relative to the inter-annual and decadal variability in the precipitation.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.9
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• pp.197-206
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• 2020

Collaborative research in science applications based on HPC service needs rapid transfers of massive data between research colleagues over wide area network. With regard to this requirement, researches on enhancing data transfer performance between major superfacilities in the U.S. have been conducted recently. In this paper, we deploy multiple data transfer nodes(DTNs) over high-speed science networks in order to move rapidly large amounts of data in the parallel filesystem of KISTI's Nurion supercomputer, and perform transfer experiments between endpoints with approximately 130ms round trip time. We have shown the results of transfer throughput in different size file sets and compared them. In addition, it has been confirmed that the DTN cluster with three nodes can provide about 1.8 and 2.7 times higher transfer throughput than a single node in two types of concurrency and parallelism settings.

• Communications of Mathematical Education
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• v.24 no.1
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• pp.259-282
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• 2010

In this paper, we introduce a modified Moore Method designed for the multivariable calculus course, and discuss about the effective teaching and learning method by observing the changes in the understanding of students' learning and the effects on students' learning in the class implemented by this modified Moore Method. This teaching experiment research was conducted with the 15 students who took the multivariable calculus course offered as a 3 week summer session in 2008 at H University. To guide the students' active preparation, stepwise course materials structured in the form of questions on the important mathematical notions were provided to the students in advance. We observed the process of the students' small-group collaborative learning activities and their presentations in the class, and analysed the students' class journals collected at the end of every lecture and the survey carried out at the end of the course. The analysis of these results show that the students have come to recognize that a deeper understanding of the subjects are possible through their active process of search and discovery, and the discussion among the peers and teaching each other allowed a variety of learning experiences and reflective thinking.

• Asia pacific journal of information systems
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• v.23 no.4
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• pp.151-175
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• 2013

This study investigates the potential components for academic research collaboration, and the factors that make it possible to achieve higher academic productivity. The components include collaboration factors and a collaboration model. We use two major collaboration factors to develop a framework for understanding the mechanisms that influence academic research collaborations: motivational factors and mediating factors. Motivational factors include self-motivation and trust whereas mediating factors are collaboration orientation and peer support. We analyze the effect for use of e-collaboration with research performance, reward, and satisfaction with e-research output. A survey of academicians was conducted, and by using the factor analysis and the structural equation model with SPSS 20 AMOS, we illustrate the possible influence of these factors on research performance and satisfaction. We discovered that both motivational and mediating factors play important roles on the success of academic research. This study offers several implications for academicians. We develop a parsimonious research model, which is related to e-collaboration in academic research. This unique model offers academicians to achieve good publication output from the research team. The motivational factor, self-motivation and trust, are important factors which has received positive impact of mediating factor collaboration orientation and peer support. Our research sheds light on the crucial factors for use of e-collaboration which offer the ultimate effect on performance and satisfaction with e-research output. Satisfaction motivates people to work more and more on the field of their interest, thereby influencing the performance of academicians. Rewards should be distributed according to performance of the individual, which will motivate the person to become more enthusiastic for his work of interest. Our evidence suggests that in understating the collaborative process, one must account for the context in which the collaboration occurs, the motivation of the collaborators, the scope and nature of the project, the roles and activities undertaken, and interpersonal processes such as trust. Researchers' motivations for engaging in collaboration were both instrumental and intrinsic.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.529-539
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• 2017

The purpose of this study is to categorize and analyze the communication competency of engineering undergraduates and to develop educational content in order to improve that. In this study, communication competency of engineering undergraduates was categorized into three areas: critical thinking, scientific communication, and media literacy. As a means to improve communication competency, the experience with and perception of writing were investigated. The communication competency of undergraduates needs to be improved overall. There is a high need for writing programs that enhance critical thinking oriented around practice. It suggests flipped learning based on smart education, E-community, problem-solving programs based on action learning, cooperative learning programs, reflection journals & portfolio, and collaborative writing programs as educational content. The results of this study can be used as basic data to design competency-based communication curriculum and practical applications for engineering undergraduates.