• Atmosphere
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• v.15 no.1
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• pp.35-46
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• 2005

Today, the outreach of National Meteorological Service such as PC cluster based Numerical Weather Prediction (NWP) technique is vigorous in the world wide. In this regard, WMO (World Meteorological Organization) asked KMA (Korea Meteorological Administration) to formulate a regional project, which cover most of RA II members, using similar technical system with KMA's. In that sense, Meteorological Research Institute (METRI) in KMA developed Mongolian NWP System (MNWPS) based on PC cluster and transferred the technology to Weather Service Center in Mongolia. The hybrid parallel algorithm and channel bonding technique were adopted to cut cost and showed 41% faster performance than single MPI (Message Passing Interface) approach. The cluster technique of Beowulf type was also adopted for convenient management and saving resources. The Linux based free operating system provide very cost effective solution for operating multi-nodes. Additionally, the GNU software provide many tools, utilities and applications for construction and management of a cluster. A flash flood event happened in Mongolia (2 September 2003) was selected for test run, and MNWPS successfully simulated the event with initial and boundary condition from Global Data Assimilation and Prediction System (GDAPS) of KMA. Now, the cluster based NWP System in Mongolia has been operated for local prediction around the region and provided various auxiliary charts.

• Journal of the Korea Society for Simulation
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• v.28 no.4
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• pp.21-32
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• 2019

Inspired by the social behavior models of a bird flock or fish school, particle swarm optimization (PSO) is a popular metaheuristic optimization algorithm and has been widely used from solving a complex optimization problem to learning a artificial neural network. However, PSO is difficult to apply to many real-life optimization problems involving stochastic noise, since it is originated in a deterministic environment. To resolve this problem, this paper incorporates a resampling method called the uncertainty evaluation (UE) method into PSO. The UE method allows the particles to converge on the accurate optimal solution quickly in a noisy environment by selecting the particles' global best position correctly, one of the significant factors in the performance of PSO. The results of comparative experiments on several benchmark problems demonstrated the improved performance of the propose algorithm compared to the existing studies. In addition, the results of the case study emphasize the necessity of this work. The proposed algorithm is expected to be effectively applied to optimize complex systems through digital twins in the fourth industrial revolution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.314-322
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• 2018

Japan has established a strategic and concrete plan to respond in advance to the forthcoming Industrial Revolution era. The Fourth Industrial Revolution Strategy in Japan is divided into two types of strategies of utilizing strength and complementing weaknesses. The former belongs to 'real data utilization' and 'new robot development', and the latter belongs to 'global issues Solution'. In particular, the Japanese government is more aggressive than any other country in introducing the Japanese version of the Regulatory Sandbox system as a social verification system for the realization of the Society 5.0, which is regarded as the cornerstone of the Fourth Industrial Revolution. This study examines the key strategies presented in the main documents relating to the Fourth Industrial Revolution, and based on this consideration, we propose a suggestion worthy of reference when Korea develops the response strategy of the Fourth Industrial Revolution.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.7
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• pp.4418-4423
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• 2015

This thesis urges the change of the education system of popular music for globalization of K-POP in a longer point of view Korean popular music has developed not only musically but also sound quality itself. Moreover it became popular in a global scale in the name of K-POP. However, it is still limited to idol music, and numerous issues related to the lack of musical talent are emerging Even though the routine of birth and death of several idol groups and singers are still repeated. Recently, the skills of artists enhanced due to audition TV shows but still it's not enough. Under this situation, it is not appropriate to rely on audition TV shows and Entertainment Management companies for picking up talented artists. Therefore, like Classic or Traditional music, schools concentrated for popular music must be founded. If this become enabled, young students going to entertainment companies or to unqualified but expensive private institutes will disappear. Moreover, it can prevent students from lacking behind in their academic activity. In addition, a reformation should be done education colleges for raising popular music educators

• International Commerce and Information Review
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• v.17 no.2
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• pp.3-18
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• 2015

This thesis examines the performance and improvement strategy of SWIFTNet TSU's BPO for computerization and suggests the following results: First, the URBPO should be legally complemented, and the SWIFT and banks need to keep improving the systems to meet trade parties' diverse needs. Second, the SWIFTNet TSU's BPO should have an institutionally unified sharing platform with security, stability and convenience. In other words, it is needed to develop services which meet e-payment paradigm and international and regional environments through continued analysis on market changes and flow. Third, in order for the SWIFTNet TSU BPO to evolve into a perfect global system, there should be an innovative payment solution which can meet all trade parties all over the world. For this, technology standardization for a worldwide e-trade payment system is essential. Lastly, based on the results derived from this study, an analysis framework with which more diverse and practical environmental variables can be analyzed should be developed.

• Journal of the Korea Concrete Institute
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• v.27 no.5
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• pp.551-558
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• 2015

Lateral displacement in the most complex-shaped tall buildings is caused by eccentric gravity loads which are induced by the difference in location between a center of mass and a center of stiffness. The lateral displacements obtained from analysis, using conventional procedures, are prone to overestimate the actual values because much of realignment efforts made during construction phase are ignored. In construction sequence analysis, the self-leveling of slab and the verticality of columns/walls could be considered at each construction stage. Moreover, the displacement compensation can be achieved by manual process such as re-centering - locating to global coordinates through surveying. Because the lateral displacement increases with the building height, it is necessary to set up adjustment plan through construction stage analysis in advance in order to result in displacements less than the allowable limits. Because analytical solution includes lots of assumptions, the pre-adjusting displacement should be reasonably controlled with considerations for the uncertainty due to these assumptions.

• Journal of Environmental Science International
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• v.21 no.1
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• pp.113-123
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• 2012

A unit emission reduction of nitrous oxide ($N_2O$) from anthropogenic sources is equivalent to a 310-unit $CO_2$ emission reduction because the $N_2O$ has the global warming potential (GWP) of 310. This greatly promoted very active development and commercialization of catalysts to control $N_2O$ emissions from large-scale stationary sources, representatively nitric acid production plants, and numerous catalytic systems have been proposed for the $N_2O$ reduction to date and here designated to Options A to C with respect to in-duct-application scenarios. Whether or not these Options are suitable for $N_2O$ emissions control in nitric acid industries is primarily determined by positions of them being operated in nitric acid plants, which is mainly due to the difference in gas temperatures, compositions and pressures. The Option A being installed in the $NH_3$ oxidation reactor requires catalysts that have very strong thermal stability and high selectivity, while the Option B technologies are operated between the $NO_2$ absorption column and the gas expander and catalysts with medium thermal stability, good water tolerance and strong hydrothermal stability are applicable for this option. Catalysts for the Option C, that is positioned after the gas expander thereby having the lowest gas temperatures and pressure, should possess high de$N_2O$ performance and excellent water tolerance under such conditions. Consequently, each de$N_2O$ technology has different opportunities in nitric acid production plants and the best solution needs to be chosen considering the process requirements.

• Journal of the Economic Geographical Society of Korea
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• v.14 no.1
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• pp.1-18
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• 2011

This paper explores changing concept of city in the context of globalization with innovation city and examines the characteristics of innovation city along with regional and national competitiveness. It is agreed that construction of innovation city by relocation of public institutions for balanced development of the country has valid logic. However, there are weak possibilities of innovation within the innovation city. Further more it is not a proper solution for the level up of national and regional competitiveness through this policy. The main logic is that physical relocation of institutions do not guarantee innovation of region through integration into globalization network resulting from the scale difference between nation and globe. Rather this paper suggests that regional innovation policy should performed in accordance with regional conditions and for the better competitiveness of nation and region, decentralization of power is needed. Then a region could have connection with global pipeline based on endogenous development power.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.19 no.4
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• pp.470-476
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• 2008

In this paper, we describe the cause of TDMA noise and distinction method of TDMA noise source in a GSM mobile phone. The causes of TDMA noise are composed of RF(Radio Frequency) energy coupling and low frequency energy coupling by burst ripple. We propose the distinction method of TDMA noise source from output(TDMA noise measurement) and frequency response of a system(audio path). Especially we propose a method of insertion loss($S_{21}$) analysis and the improvement method for RF energy coupling. Capacitor(40 pF) is a solution to reduce RF energy coupling and therefore TDMA noise was reduced by 10 dB.

• Asian review of World Histories
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• v.4 no.1
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• pp.3-34
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• 2016

This introduction is both a statement of a research problem and an account of the first research results for its solution. As more historical databases come online and overlap in coverage, we need to discuss the two main issues that prevent 'big' results from emerging so far. Firstly, historical data are seen by computer science people as unstructured, that is, historical records cannot be easily decomposed into unambiguous fields, like in population (birth and death records) and taxation data. Secondly, machine-learning tools developed for structured data cannot be applied as they are for historical research. We propose a complex network, narrative-driven approach to mining historical databases. In such a time-integrated network obtained by overlaying records from historical databases, the nodes are actors, while thelinks are actions. In the case study that we present (the world as seen from Venice, 1205-1533), the actors are governments, while the actions are limited to war, trade, and treaty to keep the case study tractable. We then identify key periods, key events, and hence key actors, key locations through a time-resolved examination of the actions. This tool allows historians to deal with historical data issues (e.g., source provenance identification, event validation, trade-conflict-diplomacy relationships, etc.). On a higher level, this automatic extraction of key narratives from a historical database allows historians to formulate hypotheses on the courses of history, and also allow them to test these hypotheses in other actions or in additional data sets. Our vision is that this narrative-driven analysis of historical data can lead to the development of multiple scale agent-based models, which can be simulated on a computer to generate ensembles of counterfactual histories that would deepen our understanding of how our actual history developed the way it did. The generation of such narratives, automatically and in a scalable way, will revolutionize the practice of history as a discipline, because historical knowledge, that is the treasure of human experiences (i.e. the heritage of the world), will become what might be inherited by machine learning algorithms and used in smart cities to highlight and explain present ties and illustrate potential future scenarios and visionarios.