• Nutrition Research and Practice
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• v.8 no.2
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• pp.192-197
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• 2014

BACKGROUND/OBJECTIVES: The body composition changes in aging increased the risk of metabolic disorder. Recent dietary studies have increasingly focused on the correlations between dietary patterns and chronic diseases to overcome the limitations of traditional single-nutrient studies because nutrients in food have complex relations that interact. SUBJECTS/METHODS: This study was conducted to classify a dietary pattern among Korean elderly using cluster analysis and to explore the relationships between dietary patterns and body composition changes in Korean elderly aged 65 years or older. The study subjects (n=1,435) were individuals who participated in the Korean National Health Examination and Nutrition Survey (KNHANES) in 2011. RESULTS: There were three dietary patterns derived by cluster analysis in this study: 'Traditional Korean' (37.49% of total population), 'Meat and Alcohol' (19.65%) and 'Westernized Korean' (42.86%). The (1) 'Traditional Korean' pattern was characterized by high consumptions of white rice and low protein, low fat, and low milk products, while (2) 'Westernized Korean' pattern ate a Korean-style diet base with various foods such as noodles, bread, eggs and milk, (3) 'Meat and Alcohol' pattern had high consumptions of meat and alcohol. In body composition changes, compared with the 'Traditional Korean' pattern, the 'Meat & alcohol' pattern was associated with a 50% increased risk of having elevated BMI ($kg/m^2$), 'Westernized Korean' pattern was associated with a 74% increased abnormality of ASM/Wt (kg) by logistics analysis. Most of the Korean adult population continues to follow ether a traditional Korean having beneficial effects for successful aging. However, the 'Traditional Korean' pattern showed low protein intake (0.7 g/kg), calcium intake, and vitamin D intake as well as low of appendicular skeletal muscle mass (ASM (kg)) among 3 groups. CONCLUSIONS: Considering the low ASM, consumption of protein, calcium and vitamin D should be increased for Korean elderly health body composition.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.45-53
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• 2020

Blockchain can control transactions in a decentralized way and is already being considered for manufacturing, finance, banking, logistics, and medical industries due to its advantages such as transparency, security, and flexibility. And it is predicted to have a great economic effect. However, Blockchain has a Trilemma that is difficult to simultaneously improve scalability, decentralization and security characteristics. Among them, the biggest limitation of blockchain is scalability, which is very difficult to cope with the constantly increasing number of transactions and nodes. To make the blockchain scalable, higher performance should be achieved by modifying existing consensus methods or by improving the characteristics and network efficiency that affect many ways of scaling. Therefore, in this paper, we propose a cluster-based scalable PBFT consensus algorithm called CBS-PBFT which reduces the message complexity O(n²) of PBFT to O(n), which is a representative consensus algorithm of blockchain, and the validity is verified through simulation experiments.

• Journal of Korea Port Economic Association
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• v.27 no.3
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• pp.289-309
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• 2011

The ports have been confronted with rapid environmental changes. This means that it is imperative to enhance the competitiveness by resolving the chronic and difficult problems regarding Busan New Port. This paper, hence, suggests how to activate the hinterland of the New Port. The New Port was designed to become a leading logistics port in Northeast Asia and its economic ripple effect was expected to be much greater with the construction of New Port Hinterland. The government should also seek to supply the sufficient land as well as establish port clusters with various port-related industries, which enables the New Port to survive the forthcoming harsh environmental changes and meet the diverse demands. Those measures also enable the New Port to overcome the deterioration of the competitiveness and enjoy the economies of scale. The cluster-based hinterland policy framework is sure to be very efficient but should be complemented with infrastructure policies for the better policy-mix.

• Journal of Korean Society of Transportation
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• v.36 no.2
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• pp.98-111
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• 2018

Truck platooning, which is a cluster of trucks in support of vehicle-to-vehicle communication and automated longitudinal vehicle control, is a promising method to both operational efficiency and prevent traffic crashes. Although a variety of studies have been conducted to identify the effects of vehicle platooning on traffic stream, we are not aware of any study attempting to identify promising road segments for vehicle platooning. This study aims to develop a methodology for determining the priority of freeway segments that would potentially lead to maximize the effectiveness of truck platooning. Evaluation measures derived in this study includes truck crash rates, the percentage of truck traffic, segment length, and the number of entry and exit points. Weighting values obtained from an analytical hierarchical process (AHP) method were applied to compute the proposed priority score to determine better freeway segment for truck platooning. Results suggested that a 46.9km freeway segment, from Sacheon IC to Sanin JC, was the most promising segment for maximizing the effectiveness of truck platooning. It is expected that the outcome of this study would be effectively used as a fundamental to establish operational strategies for truck platooning.

• Journal of Distribution Science
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• v.13 no.12
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• pp.95-103
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• 2015

Purpose - The Visegrád Group cooperation of the past 14 years and that of V4 for the past 20 years has very important significance in the 21st century that must be maintained. This cooperation is valuable because of the trade routes that connect northern Poland to the Balkans in southern Croatia, which forman important basis for the resuscitation of Central European development. Currently, because of the European manufacturing base and industrial development, an energy supply and stable energy distribution networks have been introduced to secure cooperation and not competition within the Visegrád Group. This paper's research emphasizes the supply chain hub in neighboring countries. Although Central and Eastern European countries are small, they can provide a competitive response to Western Europe if they collaborate with the V4 group and other countries. Research design, data, and methodology - The subjects of this study in the Visegrád Group area are related to the development of Marketing and Distribution Sciences in the integrated European Union. In relation to the existing energy infrastructure, construction companies and financial institutions benefit from large-scale construction projects. Existing or new infrastructure facilities among the V4 must comply with the preconditions of regional energy markets. The network of emerging markets is changing into a European-logistics hub of new markets. This hub is closely associated with the economic development of European self-sustainment given that energy for distribution and consumption is imported from Russia. Therefore, this paper indirectly provides data on the regional distribution of energy as alternative bases in Europe for market expansion to Asia. Results - As a result, it appeared unlikely that V4 failed to implement homogeneity following the standards of Western Europe, as proposed by the EU. Throughout European history, individuals have gathered in Central Europe as an innovation hub. Currently, the region is being established independently for energy industrial development and not for tourism development, and is expected to play a central role in innovation and distribution consumption. Therefore, similar to Western and Northern Europe, V4 only appears to engage in distribution consumption on the basis of the identity that it formed for itself. This area is expected to either create a regional platform or a voice over a single economic policy. Conclusions - To this end, regarding the distribution of consumer groups within and outside the region, the V4 group is expected to be established for various policy areas and as a Eurasian outpost of trade and distribution logistics. In addition, given its purpose of engaging in the distribution of energy cooperation and trade clusters, the Visegrád Group will be in charge of the center axis of the bridge for distribution logistics trading partners from the Western Balkans to Caucasus and Eastern Europe. Thus, the Visegrád Group is entering this region as a platform for market share by enabling all or any investor can gain greater industrial benefits.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.33-40
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• 2021

Currently, the shipping and port industries are implementing strategies to improve port processing capabilities through the expansion and efficient operation of port logistics resources to survive fierce competition with rapidly changing trends. The calculation of the port's processing capacity is determined by the loading and unloading equipment installed at the dock, and the port's processing capacity can be improved through various methods, such as additional deployment of logistics resources or efficient operation of resources in use. However, it is difficult to expect an improvement effect in a short period of time because the additional deployment of logistics resources is clearly limited in time is clear. Therefore, it is a feasible way to find an efficient operation method for resources being used to improve processing capacity. Domestic ports are also actively promoting informatization and digitalization with the development of the 4th industrial revolution technology. However, the calculation of the number of Y/T (Yard Tractor) assignments in the current unloading process depends on expert experience, and related previous studies also focus on the allocations of Y/T or Calculation of the total number of Y/T required. Therefore, this study analyzed the factors affecting the number of Y/T allocations using the loading and unloading information of incoming ships, and based on this, cluster analysis, regression analysis, and deep neural network(DNN) model were used.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.181-182
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• 2015

Lately, the importance of the marin industry is growing as current status and future trend. This change is being prompted for the development of the maritime industry such as resource depletion, climate change, the Arctic opens. The demand of new marine industry with IT and convergence is gradually increasing. A new understanding of the importance of the marine industry is needed. Therefore, the systematic classification system for the marin industry building for the marin industry is to assess the marine industry activity levels at the national level.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.34-45
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• 2021

On February 18, 2019, the Chinese government officially released the Outline of the Development Plan for the Guangdong-Hong Kong-Macao Greater Bay Area, which will lead the country in a new round of reform and opening-up. The Greater Bay Area will become a dynamic world-class city cluster, an international scientific and technological innovation center with global influence, an important support for the development of the "One Belt And One Road", a demonstration area for in-depth cooperation between the mainland and Hong Kong and Macao, and a high-quality living area for living, working and traveling. Non-Pearl River Delta(Non-PRD) cities in Guangdong Province are adjacent to the Guangdong-Hong Kong-Macao Greater Bay Area, so it is of practical significance to promote the high-quality development of urban tourism from an international perspective. Based on the panel data released in Guangdong Yearbook 2019, this paper uses the envelopment data analysis (DEA) method to explore ways to promote the high-quality tourism development of Non-PRD cities in Guangdong Province based on the perspective of international development.

• Journal of Korea Trade
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• v.27 no.2
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• pp.22-46
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• 2023

Purpose - study aims to investigate the relationships between global value chain (GVC)- and transportation-related determinants and economic performance. Also, moderating effects of COVID-19 on the relationships are theoretically and empirically discussed. A limitation of previous studies includes their over-reliance on the opportunities of GVC participation and larger transportation. This study represents the challenges associated with them. Also, it shows how GVC and logistics can be difficult in case of a market fluctuation such as COVID-19. Design/methodology - The sample for this study includes 828 observations from 138 countries. A semi-panel data set has been used. Six observations for each country are used to empirically test the hypotheses and a Two-way cluster model is conducted. Findings - It is confirmed that GVC forward participation contributes more than the backward participation to enhance performance. Transportation infrastructure is critical, but large scales of marine and air transportations are not positive in terms of economic performance. Stricter government response to COVID-19 negatively moderates economic performance by GVC backward participation and transportation infrastructure. Originality/value - The spread of COVID-19 is causing a severe collapse of GVC and transportation. This study empirically verifies the moderating effects of the government stringency on GVC and transportation. Previous studies usually discuss a positive impact of GVC and transportation size on economic performance. However, this study aims to show various challenges behind GVC participation and large scale transportation.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.63-67
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• 2024

Recently, artificial intelligence (AI) workloads encompassing various industries such as smart logistics, FinTech, and entertainment are being executed on the cloud. In this paper, we address the scheduling issues of various AI workloads on a multi-tenant cloud system composed of heterogeneous GPU clusters. Traditional scheduling decreases GPU utilization in such environments, degrading system performance significantly. To resolve these issues, we present a new scheduling approach utilizing genetic algorithm-based optimization techniques, implemented within a process-based event simulation framework. Trace driven simulations with diverse AI workload traces collected from Alibaba's MLaaS cluster demonstrate that the proposed scheduling improves GPU utilization compared to conventional scheduling significantly.