• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.271-280
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• 2010

While the future warfare is expected to be appeared as network-centric, effect-based, and coordinated cooperative, most current M&S systems reflect only the unit behaviors and interactions of each weapon system. There are limitations to analyze the behaviors of managing weapons cooperatively and sharing the situational awareness over the networks of distributed sensors, C2, and shooters using them. Therefore, we introduce the new design of the networkcentric warfare modeling system using the agent-based modeling and simulation approach. We have developed a system for engagement-level warfare models and tested with multi-platform battleship warfare. In this paper, we propose the method to design battle agents, environments, and networks for network centric warfare modeling.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.958-979
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• 2023

Due to laws, regulations, privacy, etc., between 70-90 percent of providers do not share medical data, forming a "data island". It is essential to collaborate across multiple institutions without sharing patient data. Most existing methods adopt distributed learning and centralized federal architecture to solve this problem, but there are problems of resource heterogeneity and data heterogeneity in the practical application process. This paper proposes a collaborative deep learning modelling method based on the blockchain network. The training process uses encryption parameters to replace the original remote source data transmission to protect privacy. Hyperledger Fabric blockchain is adopted to realize that the parties are not restricted by the third-party authoritative verification end. To a certain extent, the distrust and single point of failure caused by the centralized system are avoided. The aggregation algorithm uses the FedProx algorithm to solve the problem of device heterogeneity and data heterogeneity. The experiments show that the maximum improvement of segmentation accuracy in the collaborative training mode proposed in this paper is 11.179% compared to local training. In the sequential training mode, the average accuracy improvement is greater than 7%. In the parallel training mode, the average accuracy improvement is greater than 8%. The experimental results show that the model proposed in this paper can solve the current problem of centralized modelling of multicenter data. In particular, it provides ideas to solve privacy protection and break "data silos", and protects all data.

• Journal of the Korea Institute of Building Construction
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• v.23 no.3
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• pp.273-284
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• 2023

This study is centered on the combined use of LiDAR(Light Detection and Ranging) and AR(Augmented Reality) technologies during vertical and horizontal frame measurements in construction projects. The intention is to enhance the quality control procedure, elevate accuracy, and curtail manual labor along with time expenditure. Present methods for accuracy inspection in frame construction often grapple with reliability concerns due to subjective interpretation and the scope for human error. This research recommends the application of LiDAR and AR technologies to counter these issues and augment the efficiency of the inspection process, along with facilitating the dissemination of results. The suggested technique involves the collection of 3D point cloud data of the frame utilizing LiDAR and leveraging this data for checks on construction accuracy. Furthermore, the inspection outcomes are fed into a BIM (Building Information Modeling) model, and the results are visualized via AR. Upon juxtaposing this methodology with the current approach, it is evident that it offers benefits in terms of objective inspection, speed, precise result sharing, and potential enhancements to the overall quality and productivity of construction projects.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.857-866
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• 2022

The current study is a meta analysis study to identify the factors related to infection management performance and the effect size according to the factors. Data collection was included from the data of KMBASE, RISS, KISS, DBpia, National Library of Korea, Pubmed, and EMBASE. R3.5.1 was used for the data analysis. A total of 22 factors were identified. The meta analysis showed the effect size as follows: gender(.16), age(.30), education(.32), beds(.28), needs of education in infection management(.44), participating in education of infection management(.25), recognition/knowledge in infection management(.70). Based on the findings, evidence based programs need to be provided to improve the infection management performance of health workers at Long-Term Care Hospitals.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.83-114
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• 2006

The research investigated definition, scope and feature of digital contents in order to discuss legal protection of digital contents. The protection law and current trend of protection of digital contents in United States of America, EU and Japan were examined. As the law which protects digital contents in Korea. the contents and characteristics, etc. of copyright act of Korea and online digital contents industry development act were examined and analyzed. And then relationship of digital contents and copyright, namely, the relationship of database and copyright, relationship of digital contents by translation. arrangement, alteration, dramatization, cinematization, etc. of an original work and copyright; relationship of other digital contents and copyright; relationship of file sharing of digital contents and copyright, were examined and copyright issues were discussed in library. And also the research suggested concretely necessary countermeasure of copyright which the library must take. Finally, this paper suggested the improvement direction for legal protection of digital contents we must aim ultimately.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.409-434
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• 2023

This study analyzes the authorship of all articles published in four domestic LIS journals over a 20-year period from 2002 to 2021 to examine the current status of scholarly communication through Korean LIS journals and suggest future prospects. To achieve this purpose, the study analyzed the number of co-authors, the proportion of returning authors, the publishing preference index (PPI), the author group change trend, and the researcher attraction index (RAI). The analysis revealed the level of collaborative research in each journal, the degree of formation of related author groups by journal, the inflection point of author group changes, the characteristics of emerging researchers, and the degree of author sharing between journals. Overall, 2015 was found to be an inflection point where the author community of Korean LIS journals changed. The newer generation of researchers showed a slightly different behavior of publishing papers than the older generation, as they mainly conduct collaborative research. These quantitative results could be triangulated with the qualitative interview data of previous studies to further strengthen the development strategy of Korean LIS journals.

• Smart Media Journal
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• v.12 no.5
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• pp.65-72
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• 2023

Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.

• 한국체육학회지인문사회과학편
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• v.56 no.6
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• pp.541-559
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• 2017

The purpose of this study was to understand breast cancer survivors' line dance program participation experience and their perceived effects. Nine participants were selected by the purposive sampling. In the current study, phenomenological research methods were used and qualitative data were collected through in-depth interviews and observation. The analyses indicated that participants's positive experiences were categorized into physical (physiological change, improved digestive system, sleep quality and cognitive function), psychological (pleasure, vigor, peace, self confidence, and satisfaction) and social (improved mood among family members, peer support and pleasure) benefit. Furthermore, participants enjoyed unique characteristics of line dance such as continuous music and nature of group exercise where they enjoy information sharing and peer support In summary, a line dance program was safe and beneficial for breast cancer survivors and should be recommended as one of exercise options for breast cancer survivors.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.125-147
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• 2023

This study analyzes the current status of reading programs in public libraries based on literature research and data from the National Library Statistics System to derive implications and, based on this, to determine policy directions necessary to revitalize reading programs in public libraries in the future. First, based on the implications derived from the analysis, a plan for securing and sharing data on reading activities in public libraries. Second, the results of a correlation analysis of factors related to the planning and operation of reading programs present to suggest ways to revitalize sustainable reading programs. Third, the improvement of reading program evaluation indicators and expanding qualitative evaluation and creating an official mechanism to collect opinions from public libraries on a regular basis by the Ministry of Culture, Sports and Tourism and the Korean Library Association. Fourth, a cooperative network between public libraries that held reading competitions was proposed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.951-956
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• 2023

In the current situation where systematic and active disaster management is becoming more important, domestic libraries do not have their own disaster management plans or support systems. In order to improve these problems, this study looked at overseas cases. Among them, we looked at Japan, where related cases and research are actively underway due to its exposure to various geopolitical disasters. In particular, we focused on cases of public-private cooperation established after the Great East Japan Earthquake. Association's Library Disaster Response Committee and saveMALK, a voluntary network of experts. The Library Disaster Response Committee played a central role in organizing donations and volunteer activities, and saveMALK played a role in collecting and sharing information by forming a collective intelligence among relevant experts. This analysis of the Japanese case has positive implications for building collaborative disaster management system.