• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.3
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• pp.63-69
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• 2020

Recently, the Yedang reservoir needs reflecting the demands of the public and administration, including change of reservoir status and paradigm shift of users, as well as planning programs to activate the area as a special health zone for tourism, leisure, recreation and experience at the local government level. Previous Optimum Equipment model (OEM) preferentially considers the creation of waterfront. This study shows the operation model for readjustment of water supply facilities according to the limit of the level of the beneficiaries. Results show the renovation cycle of Yedang tourist resort and the suspension bridge through developed model simulation. In addition to securing quantity for the supply of agricultural water and the function of water protection, the multi-function of the agricultural reservoir shall be re-evaluated to enhance the diverse availability of the agricultural reservoir. The county office should also boost various availability at various levels to revitalize the local economy, such as producing pleasant and safe places and offering safe food for people.

• Environmental Engineering Research
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• v.22 no.3
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• pp.302-311
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• 2017

Nowadays, with the burgeoning development of economy, $CO_2$ emissions increase rapidly in China. It has become a common concern to seek effective methods to forecast $CO_2$ emissions and put forward the targeted reduction measures. This paper proposes a novel hybrid model combined principal component analysis (PCA) with regularized extreme learning machine (RELM) to make $CO_2$ emissions prediction based on the data from 1978 to 2014 in China. First eleven variables are selected on the basis of Pearson coefficient test. Partial autocorrelation function (PACF) is utilized to determine the lag phases of historical $CO_2$ emissions so as to improve the rationality of input selection. Then PCA is employed to reduce the dimensionality of the influential factors. Finally RELM is applied to forecast $CO_2$ emissions. According to the modeling results, the proposed model outperforms a single RELM model, extreme learning machine (ELM), back propagation neural network (BPNN), GM(1,1) and Logistic model in terms of errors. Moreover, it can be clearly seen that ELM-based approaches save more computing time than BPNN. Therefore the developed model is a promising technique in terms of forecasting accuracy and computing efficiency for $CO_2$ emission prediction.

• International Journal of Railway
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• v.1 no.1
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• pp.12-19
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• 2008

Starting her business operation on January 5 2007, Taiwan High Speed Rail(THSR) shapes a new time-space frame for Taiwan western corridor, where more than 90% of national population lives around and more than 95% gross domestic product created from. Comparing with the four-hour traveling time by highway before 2007, THSR reduces the time required to one and half hours from Taipei to Kaohsiung. It will not only benefit the communication along the island from north to south, but also change the location advantages/disadvantages for all cities in these regions. Therefore, this paper establishes a spatial computable general equilibrium model(SCGE Model) to simulate the economic effect of High Speed Rail(HSR). This SCGE model divides Taiwan economy into fifteen geographic regions and thirteen industries. Each region has three sectors: household sector, transportation sector, and industries sector. Following the behavior function of economic theories, the general equilibrium can be achieved simultaneously. Thus, gross regional product (GRP), capital formation, employment income and welfare/utility level can be all observed by calculating the different economic result between cases with-/ without-HSR. Besides, this model presents the social welfare benefit from HSR operation, the polarization phenomenon among regions and within certain region, unbalance distribution of welfare along the HSR line, and industries development divergence among regions etc. These major findings should be useful for regional development policy making.

• International Commerce and Information Review
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• v.8 no.4
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• pp.3-22
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• 2006

Recently, the use of digital contents and demand have been increased with expanding users of internet. Thus, the importance of digital contents distribution site's has been increased that deal in commercially. The model that measuring acceptance of web sites is studying lively, however, the web sites that dealing and distributing specific goods to be called digital contents have insufficient theoretical base and model about acceptance of customers. Also, the research that acceptance of existing commercial web sites have limitation to explain systematically which influence on acceptance of digital contents distribution sites. Because, those research connect directly the feature of web sites, the purchase of web sites or the feature of buyers and acceptance. For that reason, it's hard to reflect the feature of digital contents. In this research, to measure customers' acceptance of web sites that distribute digital image, it is based on Technology Acceptance Model by Davis. This research find out the significant cause from survey by users of digital image distribution site. and TAM which has been adapted the analyzation of new site's acceptance can explain the state of digital image distribution site use. This research let us know the evaluation of digital image distribution site and operating strategy as a new business model.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.4
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• pp.1972-1986
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• 2017

With the advent of the knowledge economy, science and technology resources have played an important role in economic competition, and their optimal allocation has been regarded as very important across the world. Thus, allocation optimization research for regional science and technology resources is significant for accelerating the reform of regional science and technology systems. Regional science and technology resource allocation optimization is modeled as a double-layer optimization model: the entire system is characterized by top-layer optimization, whereas the subsystems are characterized by bottom-layer optimization. To efficaciously solve this optimization problem, we propose a mixed search method based on the orthogonal genetic algorithm and sensitivity analysis. This novel method adopts the integrated modeling concept with a combination of the knowledge model and heuristic search model, on the basis of the heuristic search model, and simultaneously highlights the effect of the knowledge model. To compare the performance of different methods, five methods and two channels were used to address an application example. Both the optimized results and simulation time of the proposed method outperformed those of the other methods. The application of the proposed method to solve the problem of entire system optimization is feasible, correct, and effective.

• Asia-Pacific Journal of Business
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• v.3 no.1
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• pp.10-16
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• 2012

India is having a high growth rate of Mobile subscribers which has opened up a new marketing channel of communication with customers. There is a need to study the factors affecting Mobile user's attitude towards Mobile marketing and the relationship between these factors. To study the mobile users attitude towards mobile marketing 489 mobile users opinion is taken on 12 statements for a period of 5 months. Using factor analysis method these 12 statements are grouped into 5 groups they are Mobile advertisement, Mobile Usability, Mobile Promotions, Mobiles shopping and Mobile Marketing. Confirmatory Factor Analysis (CFA) was performed to confirm the findings. SPSS Statistics 17.0 is used to conduct factor analysis and the validity of the model. Once the model was validated, SPSS Amos 18.0 was used to fit a model based on Structure Equation Model to analyze the factors affecting Mobile user's attitude and the relationship between these factors. The present study revealed that Mobile Advertisement and Mobile Sales Promotion are having positive effect on Mobile Marketing where as Mobile Shopping and Mobile Phone Usability is having negative effect on Mobile Marketing. The impact of indicators like Mobile Phone user's permission and personalization of Mobile Phone communication on Mobile Marketing are also discussed in this article.

• Proceedings of the KSR Conference
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• 2007.11a
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• pp.1896-1912
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• 2007

Starting her business operation on January 5 2007, Taiwan High Speed Rail (THSR) shapes a new time-space frame for Taiwan western corridor, where more than 90% of national population lives around and more than 95% gross domestic product created from. Comparing with the four-hour traveling time by highway before 2007, THSR reduces the time required to one and half hours from Taipei to Kaohsiung. It will not only benefit the communication along the island from north to south, but also change the location advantages/disadvantages for all cities in these regions. Therefore, this paper establishes a spatial computable general equilibrium model (SCGE Model) to simulate the economic effect of High Speed Rail (HSR). This SCGE model divides Taiwan economy into fifteen geographic regions and thirteen industries. Each region has three sectors: household sector, transportation sector, and industries sector. Following the behavior function of economic theories, the general equilibrium can be achieved simultaneously. Thus, gross regional product (GRP), capital formation, employment income and welfare/utility level can be all observed by calculating the different economic result between cases with-/ without-HSR. Besides, this model presents the social welfare benefit from HSR operation, the polarization phenomenon among regions and within certain region, unbalance distribution of welfare along the HSR line, and industries development divergence among regions etc. These major findings should be useful for regional development policy making.

• Journal of the Korean housing association
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• v.22 no.4
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• pp.121-132
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• 2011

Hanok with a long tradition in our country, but a significant period of modernization in the process of being cut off did not have continuity. Many of Hanok aging, according to the rapid residential development and life-changing was the subject of a complaint. Conversely, the benefits of Hanok was given to the advantages that compare to a monotonous mass housing of apartments. Despite these changes and the potential of these social needs and demands Hanok quickly did not respond: First, for the life of contemporary and traditional Hanok with a form of gap is a matter of space and style. Economy and lifestyle $20,000 for the era of Hanok was to develop a model for spatial configurations. Second, Hanok in a low density, is evaluated to aging, because increasing the economic utilization of land and tailored to their needs as a Hanok housing requires the development of a model, but this did not present a layered model. The purpose of this study is a modern residential Hanok persistence of this set to have 1) the spatial characteristics of traditional and modern urban life Hanok living space that meets the requirements of the degree of each other, to find sustainable elements, and 2) these demands the modern residential area type, combined with a set of Hanok 3) Korea Hanok cultural characteristics which set is created to residential housing types is to develop a basic research.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.419-445
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• 2005

In 2002, the waste was generated about 277,533tons per day. The treatments of waste were recycling, which had accounted for almost 70%, landfill, which had accounted for 19.8%, and incineration, which had accounted for 6.5%. The energy recovery from incineration has been increased since 1995. The portion of waste in the renewable energy has been increased. Waste incineration heating system generates total 134TOE of $CO_2$ as compared to 6,800TOE of GHG from LNG boiler centralized heating system to bring 98% reduction rate of GHG emissions. We need the integrated model to examine the impacts of waste managements on economy and environments. The Asia-Pacific Integrated Model is introduced as the example of the integrated model.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.95-100
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• 2018

The study investigates the factors that affect Kyrgyzstan's bilateral trade flows with its main trading partners and attempts to predict trade potential for Kyrgyzstan. Using panel data, the gravity model is applied to estimate Kyrgyzstan's trade from 2000 to 2016 for its 35 main trading partners. The coefficients derived from the gravity-model estimation are then used to predict trade potential for Kyrgyzstan. Results proved to be successful and explained 63% of the fluctuations in Kyrgyzstan's trade. According to the results, Kyrgyzstan's and its partners' GDP have a positive effect on trade, while distance and partners' population prove to have a negative effect. Predicted trade potential reveals that neighboring countries (China, Kazakhstan, Uzbekistan, and Tajikistan) and Russia still have a significant trade potential. Kyrgyzstan, being a less developed economy, even by Central Asia standards, can only achieve its goals of reducing poverty and becoming more developed by increasing its overall trade with the rest of the world. Therefore, it is essential to study the main determinants of Kyrgyzstan's bilateral trade. In this way, we can help policy makers formulate policies to expand Kyrgyzstan's trade. This study is the first attempt to apply to the gravity model to Kyrgyzstan in an attempt to predict trade potential.