• Journal of Korean Tunnelling and Underground Space Association
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• v.22 no.1
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• pp.59-76
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• 2020

As a continuous increase in demand for the transportation infrastructure in the metropolitan area, the renovation of existing metropolitan and urban railway lines for the rapid transport system requires the construction of sidetrack that can operate local and express trains simultaneously. However, the construction of sidetrack after stopping the operation of the existing subway line causes a lot of economic losses, therefore it is essential to study the tunnel enlargement scheme during the operation of the existing subway tunnel. Accordingly, in this paper, basic research on the enlargement plan of the existing subway tunnel was carried out for the renovation of the existing subway line. In order to investigate the method for the sidetrack construction, the Government Complex Gwacheon station on the Gwacheon line of subway line 4 was selected as a virtual research station. Subsequently, four construction plans including tunnel cross-sectional plan for each section were reviewed and constructability and economic feasibility were compared. Finally, the stability assessment was conducted for the selected construction plan which was considered to be relatively unstable by 3-D full numerical analysis considering the sidetrack construction process.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.97-106
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• 2020

Due to the rapid development and dissemination of 5G communication and IoT technologies, there are increasing demands for big data analysis techniques and service systems. In particular, explosively growing demands on AI technology adoption are also causing high competitions to take advantages of machine/deep-learning models to extract novel values from enormously collected data. In order to adopt AI technology to various research and application domains, it is necessary to prepare high-performance GPU-equipped systems and perform complicated settings to utilze deep learning models. To relieve the efforts and lower the barrier to utilize AI techniques, AIaaS(AI as a service) platform is attracting a great deal of attention as a promising on-line service, where the complexity of preparation and operation can be hidden behind the cloud side and service developers only need to utilize the high-level AI services easily. In this paper, we propose an AIaaS system which can support the creation of AI services based on Docker and OpenFaaS from the registration of models to the on-line operation. We also describe a case study to show how AI services can be easily generated by the proposed system.

• Journal of Distribution Science
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• v.4 no.1
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• pp.5-26
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• 2006

As the capital of knowledge becomes more important than traditional capital like land or labor in the 21st century, the most competitive resource for corporations is knowledge. Furthermore, corporations may evaluate and improve latent knowledge of 'intellectual capital(IC)' within organizations, which will enhance their performance in the future. However, most Korea Distribution Companies have evaluated only tangible assets, ignoring latent capital. Since enterpreneurs have recognized that they cannot explain the difference between maret value and book value, the major advanced states lead to more sophisticated techniques to evaluate IC value. Although it is extremely important and urgent to evaluate IC value, the indexes of evaluating IC have never been examined and have been adopted by many corporations. Therfore, this study intends to develop a index for IC valuation. This study hopes to give some insights into the practical use of intellectual capital for the Korea Distribution Companies and help them develop a strategic perspective to enhance their competitiveness.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.285-310
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• 2020

This paper analyzed SCOAP3 journals, which have been evaluated as successful open access models, to understand the characteristics of scholarly communication among domestic researchers in the field of high energy physics (HEP). As research methods, a quantitative analysis using statistics and a network analysis of authors' affiliated institutions and academic journals were conducted to understand collaboration and research activities of domestic researchers in the HEP field. The results of the study revealed that, among the 10 SCOAP3 journals in which Korean researchers participated, the proportion of articles in which Korean authors participated was 8.0% of the total. The proportion of papers with more than 1,000 co-authors per paper was 28.7% of the total. The results of this analysis proved that Korean researchers were actively collaborating in the HEP global network. From the results of the network analysis to understand the cooperative relationship centered on the affiliated organization, the cooperative network could be divided into three clusters: a cluster centered on S universities, a cluster centered on K research institutes that provided researchers a cooperative infrastructure with CERN, and a cluster centered on I research institute. Through the network analysis for research institutes and journals, it was found that JHEP, PRD, and PLB among academic journals were highly participating journals, and universities and researchers were also participating in the writing of open access papers. The results of this study can be used as a basic resource for understanding researchers and building a research information environment in libraries.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2176-2183
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• 2017

The value of Big-Data which is a main factor of the fourth Industrial Revolution enhances industrial productivity in private sector and provides administrative services for nations and corporates in public sector. ICT-developed countries are coming up with Big-Data application in public sector rapidly. Especially, when it comes to social crisis management, they are equipped with pre-forcasting system. Korean Government also emphasizes Big-Data application in public sector for the social crisis management. But the reality where the overall infrastructure vulnerability reveals requires preparation and operation of measurement for social problems. Accordingly, we need to analyze Big-Data application problem and benchmark the precedented cases, thereby, direct policy diversity. Hence, this paper proposes the roles and rules of E-government analyzing problems from Big-Data application. The following policy proposes open Information and legal&institutional improvement, Big-Data service considerations threatening privacy issues in Big-Data ecosystem, necessity of operational and analytical technology for Big-Data and related technology in technical implication of Big-Data.

• Resources Recycling
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• v.24 no.3
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• pp.16-26
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• 2015

This study aims to suggest possible policy options for collection of post-consumer diapers as a sustainable prerequisite to implementation of public recycling system with the desktop monitoring results and analysis of collection cost involved. By conducting a diaper collection pilot test on daycare centers and households in the Seoul Nowon-gu, this study revealed that the odor issues did not stand out as an important hindering factor and that the collection rate was the largest contributing factor regarding collection costs. The exploratory cost analysis result shows that the implemented recycling system must guarantee collection rate over 50% via twice-a-week collection frequency, to be comparable or even superior to the current food waste collection cost. Also the pilot demonstration test showed that the final collection rate can be achieved as much as over 50%. The promising data thus obtained cost economically viable future diaper recycling system implementation in the entire Seoul metropolis and adjacent areas of dense population. With the concomitant development of recycling technology and related infrastructure for systematic collection of diaper waste, it makes our society much more sustainable.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.8
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• pp.321-328
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• 2014

In this paper, we present a MapReduce-based mobility pattern mining system which can predict efficiently the next place of mobile users. It learns the mobility pattern model of each user, represented by Hidden Markov Models(HMM), from a large-scale trajectory dataset, and then predicts the next place for the user to visit by applying the learned models to the current trajectory. Our system consists of two parts: the back-end part, in which the mobility pattern models are learned for individual users, and the front-end part, where the next place for a certain user to visit is predicted based on the mobility pattern models. While the back-end part comprises of three distinct MapReduce modules for POI extraction, trajectory transformation, and mobility pattern model learning, the front-end part has two different modules for candidate route generation and next place prediction. Map and reduce functions of each module in our system were designed to utilize the underlying Hadoop infrastructure enough to maximize the parallel processing. We performed experiments to evaluate the performance of the proposed system by using a large-scale open benchmark dataset, GeoLife, and then could make sure of high performance of our system as results of the experiments.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.1
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• pp.146-157
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• 2007

Fishing villages have rich potential on account of serving as a base of fishing activities with various maritime ecosystem, culture and maritime resources as well. The object of the study is ports located in Gijang, Busan and it presents the overall development direction in ports within this area. Through systematic and well-planned developing small-sized ports, this research analyzes regional economic implications by improving settlement conditions for fishing villagers scattered around this area taking the ports' natural traits into consideration. The research correlates regional input output analysis by fishing port arrangement project with connection between inter-industries and inter-regions according to the model of input-output analysis and attempts to systematically analyze regional economic structure with the economic implication divided into production, employment and income, influenced upon by the change of political exogenous variable.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.87-108
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• 2020

The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.10 s.352
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• pp.8-17
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• 2006

Recently, the high-speed Internet users increase rapidly and broadband networks have been widely deployed. However, the current TCP congestion control algorithm was designed for relatively narrowband network environments, and thus its performance is inefficient for traffic transport in broadband networks. To remedy this problem, the TCP having an enhanced congestion control algorithm is required for broadband networks. In this paper, we propose an improved TCP congestion control that can sufficiently utilize the large available bandwidth in broadband networks. The proposed algorithm predicts the available bandwidth by using ACK information and RTT variation, and prevents large packet losses by adjusting congestion window size appropriately. Also, it can rapidly utilize the large available bandwidth by enhancing the legacy TCP algorithm in congestion avoidance phase. In order to evaluate the performance of the proposed algorithm, we use the ns-2 simulator. The simulation results show that the proposed algorithm improves not only the utilization of the available bandwidth but also RTT fairness and the fairness between contending TCP flows better than the HSTCP in high bandwidth delay product network environment.