• The Transactions of The Korean Institute of Electrical Engineers
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• v.67 no.11
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• pp.1455-1462
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• 2018

As the interests in eco-friendly energy has increased, the interests in Electric Vehicles(EVs) are increasing as well. Moreover, due to the government's economic support for EVs, penetration level of it has rapidly increased. These sharp increases, however, induce various problems in distribution system, such as voltage/frequency variations, peak demand increasement, demand control, etc. To minimize these possible matters, lots of research have conducted. Nevertheless, most of it assumed extremely important factors, such as numbers and charging patterns of EVs. It inevitably results in errors in their research, and thus make it difficult to prevent the possible matters from EVs. In this paper, therefore, we use actual EVs charging data from KEPCO, and analysis and deduction of it were conducted. The simulations were carried out for four aspect(season, region, purpose).

• Ocean and Polar Research
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• v.32 no.4
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• pp.489-499
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• 2010

The securing of raw material is an important requirement for economic development. Many countries, including Korea, actively seek out a stable supply of minerals such as manganese. Manganese nodules are rock concretions on the sea bottom formed of concentric layers of iron and manganese hydroxides around a core and include several strategic minerals necessary for economic development. In particular, the manganese nodule development project (MNDP) plays an important role in the Korean national economy. This study attempts to apply input-output (I-O) analysis in investigating the economic impacts of the MNDP in the Korean national economy. A static I-O framework was employed, focusing on four topics in its application; the production-inducing impacts, the value-added-inducing impacts, the employment-inducing impacts and R&D-inducing impacts of MNDP investments on other sectors. To this end, several versions of the demand-driven models are utilized. In addition, inter-industry linkage analysis is performed to obtain information on the forward and backward linkage effects of industries, including MNDP, to quantify the strength of causation among these industries.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.93-101
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• 2019

The aim of this research is to examine demand of disaster nursing education and core competencies of clinical nurses, and identify elements affecting their core competencies. The data analysis found that there was difference in demand of disaster nursing education(p=.036) depending on disaster experiences, and that there were differences in core competencies depending on age(p=.013), department(p=.007), experiences of disaster nursing education(p<.001), and consciousness of disaster preparedness(p<.001). In addition, it was identified that consciousness of disaster preparedness(p=.003) and experiences of disaster nursing education(p<.001) are the elements affecting core competencies in disaster nursing. It is expected that the findings of this research will be used as basic resources to improve the ability to quickly respond to disaster, and to explore development of education programs on clinical practices.

• The KIPS Transactions:PartC
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• v.14C no.1 s.111
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• pp.73-80
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• 2007

In conventional on-demand mobile ad hoc routing algorithms, an alternate path is sought only after an active path is broken. It incurs a significant cost in terms of money and time in detecting the disconnection and establishing a new route. In this thesis, we propose proactive route selection and maintenance to conventional mobile ad hoc on-demand routing algorithms. The key idea for this research is to only consider a path break to be likely when the signal power of a received packet drops below an optimal threshold value and to generate a forewarning packet. In other words, if a path is lost with high probability, the neighboring node that may easily be cut off notifies the source node by sending a forewarning packet. Then the source node can initiate route discovery early and switched to a reliable path potentially avoiding the disconnection altogether. For the simulational study, network simulator(NS2) is used. The result of simulation shows that the algorithm significantly improves the performance of networks comparing to conventional on-demand routing protocols based on DSR and AODV in terms of packet delivery ratio, packet latency and routing overhead.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.423-449
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• 2004

In the knowledge society the main resource is knowledge, and the role of library to manage knowledge and information is very important. Therefore it is necessary to knowledge and information management that provides on demand service to user. The purpose of this research is to design model for web-based help-desk knowledge management system. This study used Qualitative methods as interviews and surveys through BBS and e-mail on information service in the university libraries. Here the investigated component factors are followings Q/A service user's education service to use the library, user's online reference service, e-mail service, FAQ service electronic service(BBS), lecture and research service for faculty, my library, SDI service, and open data service. This study was financially supported by Chonnam National University in the program, Post-Doc. 2002.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.46-56
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• 2004

As economic cooperation and exchanges between North and South Korea have been glowing much more than before, the demand for geographic information on North Korea is recently increasing. In fact, there is no specific method to be provided with geographic information on North Korea. In this regard, the study searched a method to collect geographic information on North Korea by using the high spatial resolution satellite image. In order to produce its best result, the study collected the geographic information on the case study area and ensured the location accuracy. This study produced total 52 items of geographic information on North Korea. Horizontal and vertical errors of stereo image, which are 4.6m and 0.9m respectively, showed high accuracy. In addition, even though the horizontal error of single image is 9m, which is bigger than that of stereo image, there is no doubt that it can be used as basic data for North Korean studies and related projects.

• Spatial Information Research
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• v.22 no.4
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• pp.1-9
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• 2014

Since the government has implemented the spatial information policies, there have been great investments and efforts made for the development of domestic technology. However, the practical application of spatial information and the degree of internationalization still leaves more to work to do. The demand of spatial information-related education, and the research and development still relies on the proprietary software from outside. Open Source Software (OSS) has been considered as an alternative for this reason. This study reviews the major trends and examples of FOSS4G in the world, which receives a special attention in the field of spatial information industry. In particular, we analyze the policy implication for the development of national spatial information by examining cases of education and research areas that have been the foundation of the growth of OSS.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.6
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• pp.251-260
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• 2010

Through the convergence of medical services and the IT technique, the patient's personal health information computerization has been rapidly spread with propagation of electronic medical record(EHR). In addition, by entering u-health, the demand of the secondary use for public health, medical research, and medical service using electronic patient health care records are increasing. The personal health information secondary uses for the development of academic medical area and service, are very good thing. But, carelessly to use personal health information, the patient privacy would be damaged. However, there are not yet systematic studies about secondary use of personal health information. Therefore, in this paper, we analyze the difference of the internal and external bill for personal medical data secondary use and propose the direction of the medical service development and preservation of the individual's privacy.

• Proceedings of the Korea Contents Association Conference
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• 2004.11a
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• pp.538-544
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• 2004

This study conducted a comprehensive survey on the status of R&D manpower and facilities in nanotechnology in Korea by interviewing R&D leaders from major research institutes nationwide. Present and future demand and supply for nanotech manpower and its policy were analyzed according to research organizations and research fields. And also nanotech-related equipment and facilities were analyzed. This study gives some useful suggestions for policy making of nanotech manpower and facilities.

• ETRI Journal
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• v.46 no.3
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• pp.379-391
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• 2024

To meet increasing traffic requirements in mobile networks, small base stations (SBSs) are densely deployed, overlapping existing network architecture and increasing system capacity. However, densely deployed SBSs increase energy consumption and interference. Although these problems already exist because of densely deployed SBSs, even more SBSs are needed to meet increasing traffic demands. Hence, base station (BS) switching operations have been used to minimize energy consumption while guaranteeing quality-of-service (QoS) for users. In this study, to optimize energy efficiency, we propose the use of deep reinforcement learning (DRL) to create a BS switching operation strategy with a traffic prediction model. First, a federated long short-term memory (LSTM) model is introduced to predict user traffic demands from user trajectory information. Next, the DRL-based BS switching operation scheme determines the switching operations for the SBSs using the predicted traffic demand. Experimental results confirm that the proposed scheme outperforms existing approaches in terms of energy efficiency, signal-to-interference noise ratio, handover metrics, and prediction performance.