• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.83-93
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• 2020

This empirical research aims to modeling and improving the forecasting accuracy of the volatility pattern by employing the Saudi Arabia stock market (Tadawul)by studying daily closed price index data from October 2011 to December 2019 with a number of observations being 2048. In order to achieve significant results, this study employs many mathematical functions which are non-linear spectral model Maximum overlapping Discrete Wavelet Transform (MODWT) based on the best localized function (Bl14), autoregressive integrated moving average (ARIMA) model and generalized autoregressive conditional heteroskedasticity (GARCH) models. Therefore, the major findings of this study show that all the previous events during the mentioned period of time will be explained and a new forecasting model will be suggested by combining the best MODWT function (Bl14 function) and the fitted GARCH model. Therefore, the results show that the ability of MODWT in decomposition the stock market data, highlighting the significant events which have the most highly volatile data and improving the forecasting accuracy will be showed based on some mathematical criteria such as Mean Absolute Percentage Error (MAPE), Mean Absolute Scaled Error (MASE), Root Means Squared Error (RMSE), Akaike information criterion. These results will be implemented using MATLAB software and R- software.

• Journal of the East Asian Society of Dietary Life
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• v.19 no.4
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• pp.515-524
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• 2009

This study was a preliminary investigation of healthy breads in the domestic bakery industry and examined conditions for consumer purchases. The analyzed data will be used for future product improvements within for the domestic bakery market. The key results were as follows: First, the subjects' choosing of healthy breads was 'Usually' (34.1%) and women were more knowledgeable about healthy breads than men. About 31.2% of the subjects responded 'Do not know well', but 98% had clear purchase intentions and showed positive acclaims for healthy breads. Second, the ranking of selection factors that subjects considered when buying healthy breads was 'curiosity>taste>safety>health>price>diet>employee representation> brand'. Women (3.89) had more sensitive reactions than men (3.47) to the 'Diet' variable, and there were statistical differences in 'Health', 'Taste', and 'Employee explanation' (p<0.05, p<0.001). Finally, highly educated considered brand more (3.87).

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.722-732
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• 2013

The purposes of this study were to investigate the needs for eco t-shirts of the new elderly consumers and to suggest strategies for eco t-shirts product development and marketing. Quantitative research was employed for research method. The data was collected from men and women in their age of 50-65, who lived in Busan, Ulsan, and Kyungnam province, during October, 2011. Respondents were selected by convenience sampling. A total of 307 responses among 350 were analyzed. Factor analysis, frequency analysis, t-test, chi-square, and regression were used for analysis. SPSS 20.0 was used for data analysis. Characteristics of the new elderly (lifestyle and environmental concern), consumption status of eco t-shirts (possession status and reasons of purchase/non-purchase), purchase intention for eco tshirts, consumer needs for t-shirts (usage situation, benefits sought, and dissatisfaction with t-shirts), preference for eco t-shirts (color, pattern, material, and shape), and demographics were surveyed. Based on the results, the vision of eco tshirts market for the new elderly consumers was positively prospected. In conclusion, specific strategies for eco t-shirts products development and marketing were suggested. Product development focused on practicality and material, design development reflecting consumers' preference, multipurpose product development, building up the product recognition, and moderate price strategy were suggested.

• Korean Journal of Agricultural Science
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• v.26 no.2
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• pp.94-105
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• 1999

Chungnam-Do is the major agricultural province, supplies the large amount of rice and has the best situation in rice production. Rice production in Chungnam region is the major income source of farmers in the Chungnam province. In spite of the best quality, the rice quality which is produced in Chungnam province has been underestimated. For the improvement of this situation. Chungnam local government has developed the 'Cheong-Pung-Myeong-Wall' brand. The objective of the study is to give marketing information on 'Cheong-Pung-Myeong-Wall' rice for its sales promotion. The survey data on consumption patterns of consumers in the Taejon city who consume the 'Cheong-Pung-Myeong-Wall' rice were used in the analysis. The conclusions of this study may be summarized as follows : Generally the people who live in the Taejon city and consume the 'Cheong-Pung-Myeong-Wall' rice satisfy its quality, but the sales promotion of 'Cheong-Pung-Myeong-Wall' rice is needed For the sales promotion of 'Cheong-Pung-Myeong-Wall' rice, diversification of products, efficient usability of market agency, improvement of packing design, adequate advertisement, guarantee of 'Cheong-Pung-Myeong-Wall' rice taste and food safety, introduction of differentiated price by the producing region are required.

• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.2
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• pp.55-70
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• 2014

The purpose of this study was to investigate purchasing behaviors of summer clothes using cooling textiles and clothing design preference in summer season. The subjects were 623 married women aged from 30s to 60s. The research method was a survey and the measuring instruments consisted of purchasing behaviors of summer clothes using cooling textiles, clothing design preference in summer season, and subjects' demographics attributions. The data were analyzed by frequency analysis, multiple response analysis, cross tabs analysis, and $x^2$ test, using SPSS statistical program. The results were as follows. First, important clothing selection criteria were design, price, and textiles. The main items using cooling textiles that female consumers purchased were T-shirts, pants, and outdoor & sportswear. Main information sources of summer clothes using cooling textiles were internet and store display, and purchasing places were fashion outlet, internet, brand store, and department store. Second, female consumers most preferred comfortable and casual style. They mainly preferred white and blue color, pastel and pale tone, plain pattern, and cotton and functional materials in summer season. Third, there were many important differences among 4 age groups on purchasing behaviors of summer clothes using cooling textiles and design preference in summer season.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.9
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• pp.1242-1248
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• 2012

Electric vehicle usage is currently very low, but it will be increase with development of electric vehicle technology and a good government policy. Moreover in 2020, advanced electric vehicle manufacturing system will give high performance for its price and mass production. Electric vehicle will become widespread in Korea. From an operational and a planned viewpoint, the electric power demand should be considered in relation to diffusion of electric vehicles. This paper presents the impact of the various battery charge systems. A comparison is performed for electric vehicle charging methods such as, normal charging, fast charging, and battery swapping. In addition, economic evaluation for the replaceable battery system and the quick battery charging system is performed through basic information about charging Infrastructure installation cost. The results of the evaluation show that replaceable battery system is more economical and reliable in side of electric power demand than quick battery charging system.

• IE interfaces
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• v.13 no.4
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• pp.658-667
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• 2000

Seasonal variation of natural gas demand coupled with rigid and stable import pattern of gas represents the characteristic feature of the Korean Liquified Natural Gas(LNG) industry. This attribute has required a huge amount of investment for the construction of storage facility. Thus, to minimize the supply cost, it is legitimate to reduce storage requirement itself. In this study, we combine three alternative methods to deal with the storage requirement to minimize the supply cost. Those are (1) adding additional storage tanks, (2) inducing large firm customers, and (3) constructing gas-turbine self generation facilities. Methodologically, we employ the mixed integer program (MIP) to optimize the system. The model also consider demand and price-setting scheme in separate modules. From the results, it is shown that if alternatives are combined optimally, a number of storage tanks can be reduced substantially compared with the original capacity plan set by the industry authorities. We perform various sensitivity analyses to check the robustness of the results. The methodology presented in this study can be applied to the other physical network industry, such as hydraulics. The empirical results will shed some light on the rationalization of capacity planning of the Korean natural gas industry.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.235-240
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• 2006

With the change of global production network, the establishment of new strategy in gwangyang port is required. Especially, the trade pattern has been concentrated to Northeast Asia region according to economic growth of the Asia including China, Japan, and Korea. Hence, Gwangyang port that have price and service competition have to meet of the need of Northeast port alliance and to compete against other countries in variable trade environment. Therefore, the objective of this study is to propose the port alliance strategy in order to promote the growth of Gwangyang port. For the purpose of the Logistics business model in Gwangyang port, we provided the direction of the Northeast port alliance and candidate ports in China and Japan.

• Journal of Satellite, Information and Communications
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• v.12 no.2
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• pp.99-103
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• 2017

Recently, acccording to price decline and miniaturization of drone, it is increased dramatically that drone usage in various category including military and private sectors. In accordance with popular usage, There is a increasing risk of safety accident, national security and public privacy problem. Hence there is a high demand for study and analysis applicable to the related technology and anti-drone method including drone detection and jamming. In general, it is extremely difficult to detect and recognize drones using conventional sensors. In this paper, we classify drone detection technology and Drone detection experiments are performed using CW RADAR to obtain and analyze micro-doppler pattern. This preliminary study aims to provide fundamental theory on radar drone detection and experimental test results such that in-depth anti-drone technology can be established in future.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.5
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• pp.414-424
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• 2015

In this research, we consider a smart grid network of electricity with multiple consumers connected to a monopolistic provider. Each consumer can be informed the real time price changes through the smart meter and updates his consumption schedule to minimize the energy consumption expenditures by which the required power demand should be satisfied under the given real time pricing scheme. This real-time decision making problem has been recently studied through game-theoretic approach. The present paper contributes to the existing literature by incorporating storage appliance into the set of available household appliances which has somewhat distinctive functions compared to other types of appliances and would be regarded to play a significant role in energy consumption scheduling for the future smart grid. We propose a game-theoretic algorithm which could draw the optimal energy consumption scheduling for each household appliances including storage. Results on simulation data showed that the storage contributed to increase the efficiency of energy consumption pattern in the viewpoint of not only individual consumer but also whole system.