• The Journal of the Korean dental association
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• v.48 no.9
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• pp.647-652
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• 2010

FDI World Dental Federation is organization representing more than one million dentists worldwide with its more than 100 years of long history. Now FDI headquarter is located in Geneve, Switzerland and serves for developing health policy and continuing education programs, speaking as a unified voice for dentistry in international advocacy and supporting member association in oral health promotion activities worldwide. Korean Dental Association has been a member of FDI since 1959 and participated actively in the FDI's worldwide activities. Past Dr. Heung-Ryul Yoon was a president of FDI from 2003 for 2 years and we also have an experience in 1997 of hosting FDI Annual World Dental Congress successively in Seoul. The image of a country reflects the country's culture as well as affects to its economical and social development and it decides the national brand toward the world. Currently, Korean people realized that and put their efforts for promoting diverse aspects of Korea to the world such as multimedia culture called Han-Ryu, electric industry, automotive industry, sports represented by soccer. We have advanced technique and skill in various fields and now it's time to show ourself better to the world. It's same to the dentistry. It's true that Korean dentistry is top-class in the world and the dental industry is prosperous and also has best technique in the world. I think and strongly hope that the 2013 FDI Seoul Annual World Dental Congress would be best opportunity for Korean dentistry and dental industry to promote ourselves and make a big step to the world. Not only for the dentistry, it will also be very good chance to all the Korean people to improve Korean national brand. I believe that we can accomplish if we, all dental societies, stand together and join our effort to use this good chance the best. I know we can make it.

• Journal of Industrial Convergence
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• v.2 no.1
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• pp.121-137
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• 2004

Is entering in age that brand becomes consumer's goods purchase standard as income level is improved, dying injunction brand is trend that governing power in the world market is expanded as international economy does single market. Situation to develop Kyonggi Province area to universal tourist attraction area keeping in step with national large size event holding such as sun of Korean visit with opening a port of the In-chon International airport, the world ceramics Expo, World Cup was made up. Growth possibility is big to culture tourism resources and representative tourist resort of the Korea that use view of nature photon circle properly such as ceramics that target area possesses. Area development plan through growth possibility should be arranged to international ceramics production complex and distribution complex. Therefore, plan analyzing future district theme establishment and strength in priority via past and present of target area.

• Smart Media Journal
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• v.5 no.4
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• pp.124-130
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• 2016

Big data technologies are increasing the need for big data in many areas of the world. Recently, the health care industry has become increasingly aware of the importance of disease and health care services, as it has become increasingly immune to prevention and health care. To do this, we need a Big data system to collect and analyze the personal biometric data. In this paper, we design the biometric big data system using low cost wearable device. We collect basic biometric data, such as heart rate, step count and physical activity from Mi Band, and store the collected biometric data into MongoDB. Based on the results of this study, it is possible to build a big data system that can be used in actual medical environment by using Hadoop etc. and to use it in real medical service in connection with various wearable devices for medical information.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.11-20
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• 2024

Among the generative models in Artificial Intelligence (AI), especially Generative Adversarial Network (GAN) has been successful in various applications such as image processing, density estimation, and style transfer. While the GAN models including Conditional GAN (CGAN), CycleGAN, BigGAN, have been extended and improved, researchers face challenges in real-world applications in specific domains such as disaster simulation, healthcare, and urban planning due to data scarcity and unstable learning causing Image distortion. This paper proposes a new progressive learning methodology called Progressive Step Training (PST) based on the Auxiliary Classifier GAN (ACGAN) that discriminates class labels, leveraging the progressive learning approach of the Progressive Growing of GAN (PGGAN). The PST model achieves 70.82% faster stabilization, 51.3% lower standard deviation, stable convergence of loss values in the later high resolution stages, and a 94.6% faster loss reduction compared to conventional methods.

• Proceedings of the Safety Management and Science Conference
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• 2004.05a
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• pp.295-298
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• 2004

Situation to develop Kyonggi Province area to universal tourist attraction area keeping in step with national large size event holding such as sun of Korean visit with opening a port of the In-chon International airport, the world ceramics Expo, World Cup was made up. Growth possibility is big to culture tourism resources and representative tourist resort of the Korea that use view of nature photon circle properly such as ceramics that target area possesses. Area development plan through growth possibility should be arranged to international ceramics production complex and distribution complex. Therefore, plan analyzing future district theme establishment and strength in priority via past and present of target area.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1141-1154
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• 2015

This paper describes the convergence of the energy technology and information and communication technology (ICT), which helps to consume less energy effectively. While a lot of researches have done against the increase of world energy usage, most of them focus on the efficiency of energy supply, transfer, and consumption equipment. Applying the ICT to decrease energy usage could help to find energy saving factors in the new field that has not been considered as a valuable one before. The big data service with the energy technology and ICT convergence enables correlation analyses of large sets of energy and environmental data. Finding a data tendency with a big data service helps to develop energy saving policies. Furthermore, it could make a further step to develop a new business model. This paper introduces the real cases of the company and project that provides a big data service with the ICT convergence.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.523-529
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• 2020

The purpose of this study is to collect official world records for a total of five years from 2015 to 2019 from the modern pentathlon world competition database to reveal the impact of shooting types and characteristics on the record. To that end, the entire shooting spree was analyzed for all male and female athletes participating in the UIPM Level 1 World Cup and World Championships. According to the study, the number of round trips and the number of cars increased, the number of shooting accumulation deteriorated, the best record in the first round trip 3rd round, and the worst record in the fourth round trip 5th round. In addition, the deviation values are accumulated according to the fire recording or without success of the first step round trip by 9 percent in accordance with the growing number of the deviation is an increasing trend is, is that over time. Modern pentathlon at the success of the first step is more important and as fire can just hit first step in the event of great effect in reducing record. Based on these studies, the factors and characteristics that affect shooting accuracy are identified, and follow-up research linked to track records is necessary to match the characteristics of the combined competition.

• Journal of Distribution Science
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• v.17 no.1
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• pp.7-9
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• 2019

Purpose - The purpose of this paper is to briefly review the contemporary global environment to suggest and develop appropriate strategies for KODISA and its journals. Research design, data, and methodology - This is an analytical case study that examines KODISA and its journals and the contemporary environment to demonstrate the importance of developing the future goals. Results - The analysis indicates that KODISA and its journals must decide whether to follow same footsteps of many reputable and big academic associations and journals or to start focusing more on the welfare of the public as an academic institution. Researches and scholarly works should be shared with everyone, and practicality and relevancy of researches should be valued and applied for the general welfare. Conclusions - Based on the progress and current success of KODISA and its journals, their goals should not be limited to just becoming a world renown academic association or journals. Promoting the welfare of the public through researches and scholarly activities should be their ultimate goal as an academic institution and journals. Attracting more practitioners and producing more researches that are practical and applicable to the public would be the first step while maintaining the quality and rigor of their academic and scholarly activities, which include publication practices.

• Journal of the Korean Institute of Navigation
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• v.11 no.2
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• pp.1-31
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• 1987

Nowadays, the transportation of almost all cargoes depends on sea routes in international trade. In the transaction of trade, cargo transportation must be completed on the base of two contrary objectives, one of which is to protect the vessel, cargoes and crew aborad her safely through every step of the transportation and the other is to pursue profits from the transaction of the trade. In spite of the great development of the modern techniques in shipbuilding today, many sea disaters of big merchant vessels have been occurring successively in winter seasons every year on the sea routes of the North Pacific Ocean. Whenever the accident of losing a vessel in rough sea occurred , many experts of the country to which the vessel belonged had tried to take out the reason of the missing without manifesting the exact cause of the unhappy occurrence. In this paper, we calculated ocean wave status along the route of the North Pacific Ocean theoretically concluded by us as optimum on the basis of weather and sea conditions. In the calculation, we used ITTC wave spectrum formula and meteorological data of "Winds '||'&'||' Waves of the north Pacific Ocean" edited by Ship Research Institute of Japan on the basic data assembled by World Meterological Organization through past 10 years. We selected three sample vessels of most common size in the North Pacific Ocean Routes, a container, a log carrier and a bulk carrier and applied tree sample vessels to the calculated sea conditions for getting the rolling angles of the vessels and stress exerting on the hulls. Examining the calculated results, we concluded as follows; 1. Under the condition of these status7 by beaufort scale, "heave to" maneuvering is the best and safest way to steer every vessel. 2. The most dangerous part of sea area along the west bound optimum route of the North Pacific Ocean in winter season, is the southern sea area of the Kamchatka peninsula.a peninsula.

• Genomics & Informatics
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• v.19 no.4
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• pp.49.1-49.11
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• 2021

Nowadays, Genomic data constitutes one of the fastest growing datasets in the world. As of 2025, it is supposed to become the fourth largest source of Big Data, and thus mandating adequate high-performance computing (HPC) platform for processing. With the latest unprecedented and unpredictable mutations in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the research community is in crucial need for ICT tools to process SARS-CoV-2 RNA data, e.g., by classifying it (i.e., clustering) and thus assisting in tracking virus mutations and predict future ones. In this paper, we are presenting an HPC-based SARS-CoV-2 RNAs clustering tool. We are adopting a data science approach, from data collection, through analysis, to visualization. In the analysis step, we present how our clustering approach leverages on HPC and the longest common subsequence (LCS) algorithm. The approach uses the Hadoop MapReduce programming paradigm and adapts the LCS algorithm in order to efficiently compute the length of the LCS for each pair of SARS-CoV-2 RNA sequences. The latter are extracted from the U.S. National Center for Biotechnology Information (NCBI) Virus repository. The computed LCS lengths are used to measure the dissimilarities between RNA sequences in order to work out existing clusters. In addition to that, we present a comparative study of the LCS algorithm performance based on variable workloads and different numbers of Hadoop worker nodes.