• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.11 no.9
• /
• pp.4197-4219
• /
• 2017

Cloud computing is a new service to provide dynamic, scalable virtual resource services via the Internet. Cloud market is available to multiple cloud computing resource providers and users communicate with each other and participate in market transactions. However, since cloud computing is facing with more and more security issues, how to complete the allocation process effectively and securely become a problem urgently to be solved. In this paper, we firstly analyze the cloud resource allocation problem and propose a mathematic model based on combinatorial double auction. Secondly, we introduce a trust evaluation mechanism into our model and combine genetic algorithm with simulated annealing algorithm to increase the efficiency and security of cloud service. Finally, by doing the overall simulation, we prove that our model is highly effective in the allocation of cloud resources.

• ETRI Journal
• /
• v.40 no.5
• /
• pp.664-676
• /
• 2018

Given the rapidly increasing market penetration of photovoltaic (PV) systems in many fields, including construction and housing, the effective maintenance of PV systems through remote monitoring at the panel level has attracted attention to quickly detect faults that cause reductions in yearly PV energy production, and which can reduce the whole-life cost. A key point of PV monitoring at the panel level is cost-effectiveness, as the installation of the massive PV panels that comprise PV systems is showing rapid growth in the market. This paper proposes an implementation method that involves the use of a panel-level wireless PV monitoring module (WPMM), and which assesses the cost-effectiveness of this approach. To maximize the cost-effectiveness, the designed WPMM uses a voltage-divider scheme for voltage metering and a shunt-resistor scheme for current metering. In addition, the proposed method offsets the effect of element errors by extracting calibration parameters. Furthermore, a design method is presented for portable and user-friendly PV monitoring, and demonstration results using a commercial 30-kW PV system are described.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.11a
• /
• pp.7-10
• /
• 2003

After the launch of PCS in 1997, price competition between five mobile carriers was so severe that the Korean mobile telephony market achieved a remarkable subscriber base growth. But in that optimal pricing behavior depends on how each fm is likely to react to other frims'choice of price, it is very interesting to analyze competitive pricing behavior and understand market structure in terms of pricing competitiveness in the Korean mobile telecommunications market. In this paper, we use structural econometric models in New Empirical Industrial Organization (NEIO) framework. But previously used models in this framework generally assume that market size is fixed and that all firms maximize their profits. To fit in with the Korean mobile telephony market, we derive various models in using NML market share model under the assumptions that market size varies with industry's total attractions and that firms maximize their market share. In this paper, we find that the model under market share maximization with the assumption that market size varies with total attraction shows the best fitting results.

• Journal of Korean Institute of Industrial Engineers
• /
• v.27 no.2
• /
• pp.176-180
• /
• 2001

In Korea, the mobile telecommunication service market is expanding rapidly and becoming more competitive. For service providers in such a dynamic environment, it is very important to accurately forecast demand including market potential in order to work out marketing strategies. In this paper, we suggest a general approach to forecast the market potential using a multinomial logit model, which is applied to individual-level market survey data. Then we develop a dynamic market potential model that can adapt to changes in the external environment without requiring further market survey. The proposed model is applied to the mobile telecommunication service market in Korea.

• Electronics and Telecommunications Trends
• /
• v.18 no.5 s.83
• /
• pp.94-102
• /
• 2003

최근 들어 선진 각국은 통신시장에서의 시장지배적 사업자에 대한 규제정책 시행과 관련하여 유효경쟁 평가의 중요성을 인식하고서 이를 체계적으로 추진하기 위해 많은 노력을 경주하고 있다. 국내에서도 통신시장에서의 유효경쟁 여건을 조성하기 위해서는 통신시장 각 부문별로 경쟁 활성화의 정도, 시장특성 및 경쟁미흡의 원인 등 경쟁상황에 대한 분석이 필요하다는 인식이 확대되고 있다. 본 고에서는 이러한 최근의 상황을 고려하여 국내 및 주요 선진국의 통신시장 경쟁상황 평가에 대한 최근동향을 평가지표 및 평가결과를 중심으로 하여 분석하였다.

• Electronics and Telecommunications Trends
• /
• v.13 no.3 s.51
• /
• pp.98-114
• /
• 1998

우리나라의 통신시장은 세계 10위권 내에 들 정도로 거대한 규모이지만, 통신사업자의 국제경쟁력이 아직은 미약할 뿐아니라, 최근 국내경제 악화로 기업가치가 급격히 평가절하되어 있어서 통신시장이 개방되면 미국을 비롯한 통신선진국들의 목표시장이 될 가능성이 매우 높다. 이하에서는 주요 외국 통신사업자들의 해외진출에 관한 세계적 동향을 간략히 살펴보고, 우리나라 통신시장에 진출한 외국사업자의 현황 및 전망을 고찰함으로써 향후 본격적인 대외개방에 대비한 전략적 시사점을 모색하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.6B
• /
• pp.631-641
• /
• 2011

Digital Multimedia Broadcasting (DMB) and Internet Protocol Television (IPTV) are now in commercial service, tearing down the traditional boundaries between the telecommunications and broadcasting sectors. These latest developments also hold important implications for research projects in related areas. Both telecommunications and broadcasting being fields with a strong service orientation, market demand should be the primary consideration when selecting research and development (R&D) projects in these areas. This study presents a process for selecting converged telecommunications-broadcasting technology development projects from a demand-oriented perspective, using criteria that are based on projected future demand characteristics. Aimed at increasing the efficiency of the R&D project selection process in telecommunications and broadcasting convergence, this study can point out new directions in R&D management in this field.

• ETRI Journal
• /
• v.30 no.4
• /
• pp.587-596
• /
• 2008

Facility-based competition (FBC) in the telecommunications market is considered to have lower static efficiency in the short term and higher dynamic efficiency in the long term. Under service-based competition (SBC), the entrant can reduce its setup costs by leasing network facilities from the incumbent, which makes the entrant viable, pushes the market price down and promotes static efficiency. This paper attempts to measure static efficiency by comparing the profits of the incumbent and entrant in terms of consumer surplus and social welfare under each competition type by extending the Stackelberg model. The results, assuming a linear demand function and variation in regulatory level, show that FBC results in higher social welfare than SBC on the whole. However, SBC accompanied by strong regulation is also shown to have the potential to be superior over FBC. It is also revealed that FBC exhibits a higher producer surplus (particularly, the incumbent's producer surplus) and is, therefore, more desirable in terms of dynamic efficiency. When the entrant's cost is high in FBC, social welfare is shown to be lowered, implying that cost competitiveness is a necessary condition for social welfare.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.2
• /
• pp.152-159
• /
• 2023

Due to COVID-19, changes in consumption trends are taking place in the distribution sector, such as an increase in non-face-to-face consumption and a rapid growth in the online shopping market. However, it is difficult for small and medium-sized export sellers to obtain forecast information on the export market by country, compared to large distributors who can easily build a global sales network. This study is about the prediction of export amount and export volume by country and item for market information analysis of small and medium export sellers. A prediction model was developed using Lasso, XGBoost, and MLP models based on supervised learning and deep learning, and export trends for clothing, cosmetics, and household electronic devices were predicted for Korea's major export countries, the United States, China, and Vietnam. As a result of the prediction, the performance of MAE and RMSE for the Lasso model was excellent, and based on the development results, a market analysis system for small and medium sellers was developed.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.1
• /
• pp.115-123
• /
• 2015

As LTE service and smartphone are emerging as the mainstream of mobile communications market, the value and importance of mobile data service has been further increased. MNO(mobile network operator)s already recognized the data service as essential market needs, and have appealed to consumers based on various satisfaction elements of data service such as faster transmission speed, expended data volume provided as default, and introduction of unlimited plan. So, in the smartphone market where has been mature, investigating what service attributes affect users' selection of data service is very meaningful from the perspectives of both the industry and the academic. Under this background, this study explores determinants influencing consumer's choice for mobile data service and analyzes relative importance of the attributes among different type of users. The findings of this study makes us extend our understanding of consumer characteristics and their service needs in data service centric era, and it provides some implications for establishing telecommunications policies and business strategies.