• International Commerce and Information Review
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• v.10 no.1
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• pp.395-414
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• 2008

The objective of this study is to introduce the concepts and theories of conditional heteroscedastic volatility models and the news impact curves and apply them to the Korea inbound tourism market. Three volatility models were introduced and used to estimate the conditional volatility of monthly arrivals of inbound tourists into Korea and news impact curves according to the three models. Results of this study are as follows. As the proportion of American tourists occupied a large amount of Korea inbound tourism market, the markets' forecasting is very important. The news impact curves which used EGARCH model (1,1) and TGARCH model(1,1), with data on these tourists to Korea showed an asymmetry effect of volatility. It was common that bad news means that it was estimated more sensitively than good news. From these results, we will notice that American tourists who visited Korea only for tourism are affected by good news. The result suggests that the Korea government and tourism industry should pay more attention to changes in the tourism environment following bad news because conditional volatility increases more when a negative shock occurs than when a positive shock occurs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4311-4330
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• 2015

Cloud computing has become a new paradigm by enabling on-demand provisioning of applications, platforms or computing resources for clients. Workflow scheduling has always been treated as one of the most challenging problems in clouds. Commercial clouds have been widely used in scientific research, such as biology, astronomy and weather forecasting. Certainly, it is very important for a cloud service provider to pursue the profits for the commercial essence of clouds. This is also significantly important for the case of providing services to workflow tasks. In this paper, we address the issues of workflow scheduling in commercial clouds. This work takes the communication into account, which has always been ignored. And then, a topology-based workflow-scheduling algorithm named Resource Auction Algorithm (REAL) is proposed in the objective of getting more profits. The algorithm gives a good performance on searching for the optimum schedule for a sample workflow. Also, we find that there exists a certain resource amount, which gets the most profits to help us get more enthusiasm for further developing the research. Experimental results demonstrate that the analysis of the strategies for most profits is reasonable, and REAL gives a good performance on efficiently getting an optimized scheme with low computing complexity.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.6
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• pp.95-101
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• 2013

Social media has many advantages. It can gain latest information with real time, be spread rapidly, easily be reproduced and distributed regardless of its form. These advantages can result in real time predictions using the latest information, which is possible due to the increase in social demand for more quick and accurate economic variable predictions. In this paper we adopted ARIMAX and ECM model to predict the unemployment rate and as a social information we used the Google Index provided by Google Trend. Also we used News Index as a domestic social information. The process of fitting statistical model considered in this paper can be adopted to predict various socio/economic indices as well as unemployment rate.

• Journal of Technology Innovation
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• v.20 no.2
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• pp.49-74
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• 2012

In this study we analyzed factors affecting the life cycle of technology, quantified the evaluation criteria that will affect the life of the individual technologies, and finally proposed the improvements to calculate technology life cycle that the properties of individual technologies are reflected based on cited-patent life time(CLT). It is expected that the methodology proposed improves the limits of the existing standard model, presents more reasonable criteria and ease of persuasion on the results derived by appraisers, and finally gives a lot of the feasibility and the usability of technology life cycle derived by the improved method to appraisers.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.26-31
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• 2005

In national prospective, the needs to develop water resources has been increased due to water shortage from diverse use of water resources in agricultural areas. Existing agricultural water demand, which has mainly been limited to the use of farming, are now expanding to diverse water uses such as supporting daily lives, diluting environmental pollution as well as industrial use for agricultural complex currently under construction in agricultural region. In this situation, for the sake of effective procurement of water resources and supply method, it is definitely required to enhance the effectiveness of budget investment and project proceedings through integrated re-development which links projects to strengthen existing dams, reservoirs and hydraulic facilities. The major scopes of this research includes developing different types of system such as selecting potential sites to re-construct reservoirs including generating base maps and thematic maps, data collection regarding water demands and reservoir status; analyzing reservoir data; estimating developable capacity and index calculation; and forecasting inundated areas. In addition, this study provides other products such as developing output generation system which can support wide use of data built and analyzed; database generation for better data management; data analysis including selection, extraction, indexation, and calculation of base items through standardization; data security system prohibiting exterior proliferation and malicious manufacturing of data.

• Journal of Korean Society of Disaster and Security
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• v.5 no.2
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• pp.11-20
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• 2012

Recently, inflicted damage for people's life and property from occurred major disaster that landslide by localized downpour and hydrofluoric acid leak from the Gumi. However public needs about safe society is more increasing from disaster because response is unsatisfactory on that. The purpose of this paper is that establish the core foundation for the education contents system of disaster management through cultivating expert. Therefore first, designed the training of course and subject by demand forecast. Next, designed the training course focus on preparedness and response at on-scene.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.105-112
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• 1993

The conventional method for solving transportation problems were mainly based on numerical methods, where the understanding of outputs is not easy. Some difficulties come from the seperation of three key steps-the preparation of input for transportation traffic simulation, and model output interpretation. GSIS can help to eliminate some of thoses difficulties by combining graphics, database, and transportation plaining models. As pilot study, this study shows an application of Geovision GSIS to TRANPLAN transportation planning model that is based on four-step travel demand forecasting procedure. Accrued benefits and procedure are presented.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2005.11a
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• pp.137-140
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• 2005

Given importation of After-Sale System, we may assume that it comes to be changed on housing industry Construction companies have applied installment sale to fund of building, but now they have to take it upon themselves to borrow from PF(Project Financing) on the banking system. The purpose of this study is to assume the change and influence in the construction fund after adopting After-Sale system and suggests the appropriate strategy in PF for providing fund. Construction Companies can produce their Profits by concentrating on reconstruction part especially in the metropolitan area. And They make their own brands and have their competitive power. In this housing market, if After-sale system comes publically, there will be big changes. Until now many companies have no difficulties in making funds to manage construction activity. But After-sale system gives difficulties to many companies. Therefore they have to prepare their own funds under their responsibilities from banks of Project financing.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.371-375
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• 2008

Nowadays, Korean Housing Market have been unstable because of the global economic fluctuation such as steady decline in the interest rate and the house price bubble. While Korean Government policy responses these state, rapidly changing policies led to deep confusion in the Korean Housing Market. In this situation, Analysis for housing market forecasting has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the housing market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing basic Korean housing market dynamics models based on Fundamental principles of housing market determined by supply and demand.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2005.05a
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• pp.217-233
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• 2005

As the Kyoto Protocol will come into effect starting February 2005, 55 member countries of the Conference of Parties of the Framework Convention on Climate Change (FCCC) will be under obligation to reduce the emissions of Carbon Dioxide $(CO_2)$ by 5.2 Percent from the 1990 levels before the year 2012. Hence the development of technology to prepare for this has been accelerated in Korea. The effect of technology varies with market size of technology, and it is necessary to control technology development period, according to the size and trend of technology market. Moreover it is essential that market analysis be finished before technology development, because market on the $(CO_2)$ Reduction and Sequestration Technology expands internationally. For that reason, it is needed to analyze domestic market and to consider technology development strategy according to analysis results. In this paper, we analyzed the domestic industry and forecasted the market size, both related to the Reduction and Sequestration Technology on $(CO_2)$ emission, which is the major component of global Green House Gas(GHG).