• ETRI Journal
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• v.31 no.2
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• pp.173-181
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• 2009

The growth of the World Wide Web and web-based applications is creating demand for high performance web servers to offer better throughput and shorter user-perceived latency. This demand leads to widely used cluster-based web servers in the Internet infrastructure. Load balancing algorithms play an important role in boosting the performance of cluster web servers. Previous load balancing algorithms suffer a significant performance drop under dynamic and database-driven workloads. We propose an estimation-based load balancing algorithm with admission control for cluster-based web servers. Because it is difficult to accurately determine the load of web servers, we propose an approximate policy. The algorithm classifies requests based on their service times and tracks the number of outstanding requests from each class in each web server node to dynamically estimate each web server load state. The available capacity of each web server is then computed and used for the load balancing and admission control decisions. The implementation results confirm that the proposed scheme improves both the mean response time and the throughput of clusters compared to rival load balancing algorithms and prevents clusters being overloaded even when request rates are beyond the cluster capacity.

• The Journal of Bigdata
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• v.3 no.2
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• pp.123-130
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• 2018

As the demand for analytics technologies in both industry and academia increases, the demand for analytics experts is also increasing. To meet this trend, universities have begun to develop new analytics curriculum and provide courses for training analytics experts. In this study, we surveyed curriculum of master's analytics programs of 9 Korean universities and 20 overseas universities. As a result of comparing the domestic university program with the overseas university programs, the average number of subjects per school program is more than that of the Korean university program, but it was found to be less in terms of diversity of subjects.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.109-125
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• 2021

For the government of president Moon's AI SW HRD policy, he proclaimed AI democracy that anyone can utilize artificial intelligence technology to spread AI education for the people of the country. Through cognitive map analysis, this study presents expected policy outcomes due to the input of policy factors to overcome crisis factors and utilize opportunity factors. According to the cognitive guidance analysis, first, the opportunity factor is recognized as accelerating the digital transformation to Covid 19 if AI SW HRD is well nurtured. Second, the crisis factor refers to the rapid paradigm shift caused by the intelligence information society, resulting in job losses in the manufacturing sector and deepening imbalance in manpower supply and demand, especially in the artificial intelligence sector. Third, the comprehensive cognitive map shows a circular process for creating an AI SW ecosystem in response to threats caused by untact caused by Corona and a circular process for securing AI talent in response to threats caused by deepening imbalance in manpower supply and demand in the AI sector. Fourth, in order to accelerate the digital circulation that has been accelerated by Corona, we found a circular process to succeed in the Korean version of digital new deal by strengthening national and corporate competitiveness through AI-utilized capacity and industrial and regional AI education. Finally, the AI utilization empowerment strengthening rotation process is the most dominant of the four mechanisms, and we also found a relatively controllable feedback loop to obtain policy outputs.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.148-160
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• 2023

The air transport industry is experiencing unprecedented fluctuations in aviation demand through the Covid-19 pandemic, and is more focused than ever on maintaining and generating business profitability. During the pandemic, demand for air cargo has soared, and the conversion business from passenger aircrafts to freighters(P2F) is drawing attention as a new business in the aviation maintenance industry. This study derives important factors to be considered in order to successfully carry out the P2F project through a wide range of cases and related literature, and analyzes the relative importance of each factor using the analytic hierarchy process. Through a survey of 33 aviation maintenance experts with more than 20 years of field experience, the importance of main factors and their sub factors was determined and implications were drawn. As a primary result, in order to succeed in the P2F project, the main factors were identified in the order of skill, finance, and location. The most important sub factors for each main factors were identified in order of securing airframe modification skill, securing infrastructure construction cost, and creating P2F business complex and district. The quantified success factors suggested the critical direction for the successful development of Korea's P2F business, and presented viable and specific business strategies and implementation plans for each factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3779-3788
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• 2010

In this study, We found approach to improve the efficiency of human resource policies for small-medium enterprises(SMEs) in the regional strategic industries. Especially, we intended to identify practical and policy implications, through analyzing to the supply and demand side of human resource at the same time. In the supply side, we analyzed workers, supply, and support policy in regional strategic industry. In the demand side, we analyzed the demands from 201 SMEs in regional strategic industry. We found the demand differences in strategic industries. we found the efficiency improvement and directions of human resource policies. Thus, these results imply the necessity of creating a customizing policy for SMEs. In conclusion, the human resource policy should be reflected the central government's policy direction and the demands of SMEs.

• KNOM Review
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• v.21 no.2
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• pp.1-9
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• 2018

Network virtualization refers to a technology creating independent virtual network environment on a physical network. Network virtualization technology can share the physical network resources to reduce the cost of establishing the network for each user and enables the network administrator to dynamically change the network configuration according to the purpose. Although the network management can be handled dynamically, the management is manual, and it does not maximize the profit of network virtualization. In this paper, we propose Machine-Learning technology to allow the network to learn by itself and manage its management dynamically. The proposed approach is to dynamically allocate appropriate resources by predicting resource demand of VNF in service function chaining, which is a core and essential problem in virtual network management. Our goal is to predict the resource demand of the VNF and dynamically allocate the appropriate resources to reduce the cost of network operation while preventing service interruption.

• Journal of TMJ Balancing Medicine
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• v.13 no.sup
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• pp.9-14
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• 2023

Objectives: The purpose of this study was to investigate patients' demand for music and art therapy in the treatment of Parkinson's disease and to understand how patients view the use of music and art therapy as a complementary form of treatment that can improve their quality of life and increase their self-efficacy in addition to medication. Methods: To this end, 60 Parkinson's patients visiting Daejeon Korean Medicine Hospital at Daejeon University were surveyed about music and art therapy. Results: The survey demonstrated a highly positive response to the music program, with strong belief in its efficacy for Parkinson's disease and significant interest in participation. Group music therapy was perceived as effective for enhancing mental health, respiratory function, language disorders, and overall quality of life. Although the art program was also deemed effective, patients showed slightly lower interest and willingness to participate compared to music therapy. The patients preferred 60-minute sessions once a week for about 8 weeks. Conclusions: We propose the following directions for a Parkinson's music and art therapy program. First, develop a once-a-week, 8-week music and art program for Parkinson's patients. Second, design the music program to focus on improving respiratory function and quality of life. Third, the art program focuses on creating a sense of security and comfort through emotional exchange among patients and improving self-efficacy.

• The Journal of Information Technology and Database
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• v.6 no.1
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• pp.103-114
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• 1999

Marketing decision support systems rely on an underlying enterprise information infrastructure. In traditional business situations, a limited number of product lines and markets divided into large chunks were adequately served by existing management information systems. With the advent of an increasingly segmented focus on niche markets and individual customers, the demand for market information has grown exponentially. The practical solutions offered by such data warehousing tools as OLAP and data mining directly address this need, allowing organizations to discover new niches. Marketing decision support systems built on these foundations provide organizations with new avenues for creating specifically targeted marketing strategies and promotional campaigns. The contribution of this article lies in introducing a graphical framework for data warehousing applications. Based on prior research, the framework links data warehousing and database marketing. To illustrate the effectiveness of this approach, three case examples of successful database marketing conclude the paper.

• Journal of the Korean Institute of Rural Architecture
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• v.15 no.4
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• pp.79-86
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• 2013

Demand of new suburban residential development and a variety of new types for housing have intensified by urban Citizens overused of poor urban residential environment. Income growth and improvement of living standards for the quality of the living environment are increasing demands of creating a more comfortable living environment. Thus, according to changes in social conditions, the development of urban area while accommodating additional development pressure adequately, particularly residential development in order to promote the efficient development of suburban areas are planned for the rational development direction. This study suggests the following improvement measures by analyzing the characteristics of the Suburban Housing Complexes built recently. In order to create a more pleasant Suburban Housing Complexes First, the accessibility of the traffic conditions, education and public facilities is good Second, the construction plans reflected needs of the consumers should be made Third, necessary facilities for activation of the urban-rural exchanges must be equipped.

• The Journal of Industrial Distribution & Business
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• v.5 no.1
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• pp.17-25
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• 2014

Purpose - Nowadays, the innovative design concept is being implemented in product design. In order to satisfy market trends and the demand for quality, designers should employ customer satisfaction questionnaires and analyze them with various experimental processes. Research design, data, and methodology - These methodologies would help designers have a better understanding of their customers and judge the market size and clustering validity, by diverse product strategies, for dealing with the rapid change prevailing in the market today. Results - By considering the innovative design with regard to telephones as an experimental case, the study investigates and demonstrates how the product can benefit from market-oriented and customized management concepts, when creative design ability is utilized for developing the product. Conclusions - Along with the benefit of having an innovative product value, the product can stimulate progress inthe development of the enterprise management, which has emerged as the main issue in the area of social and economic development in every developed country.