• 한국정보시스템학회지:정보시스템연구
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• 제19권3호
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• pp.75-103
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• 2010

This study analyzes a model appling value in the mobile learning. We investigate the interaction, ease of use, hedonic value, and utilitarian value considering importance factors in the mobile learning, and the customer values are found to influence the customer satisfaction. We analysis a relationship between these factors and the customer satisfaction, and the relationship between the customer satisfaction and the loyalty. Finally, we research difference among gender of the satisfaction on the mobile learning. To fulfill this purpose, the research model was designed from literature review, and the structural equation modeling technique was used to evaluate hypotheses. The major results of this study are as follows. First, the ease of use, hedonic value, and utilitarian value positively influenced the satisfaction, and the satisfaction had positive influences on the customer loyalty. But the interaction didn't have positive influence on the satisfaction. Second, gender difference was found for some path coefficient. Male user's interaction and ease of use has effect on the satisfaction, and Female user's hedonic value and utilitarian value have influenced the satisfaction. When it consider the market share or the growth potential of the mobile learning industry, the results of this study will provide the useful information to manage mobile learning.

• 한국식품영양과학회지
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• 제19권4호
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• pp.321-329
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• 1990

The present study was carried out to investigate the antioxidant effects of onion and ginger on the lipid peroxidation of mackerel during frozen storage. mackerels were reated with onion juice ginger juice tocopherol and BHA and stored at -18$^{\circ}C$ for 6 weeks. lipid peroxidation in samples was estimated by the periodical measurements of acid value iodine value peroxide value carbonyl value 2-thiobarbituric acid value and fatty acid composition. The treatments with ginger and onion were effective on the suppression of acid value and carbonyl value of makerel oil during 4 to 6 weeks of frozen storage. The iodine value was not affected by the treatments with various antioxidants, The production of peroxides was delayed by ginger or onion treatment, the TBA value of the sample muscles was not lowered by the treatments, The treatment with onion resulted in less changes in the contents of $\omega$-3 polyunsaturated fatty acids and in the P/S ration of fish oil than the control did. Results indicate that the applica-tion of ginger or onion juice on the surface of fishes may be useful to lower the degree of rancidity of fish during the froxaen storage.

• 농업과학연구
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• 제43권3호
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• pp.481-495
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• 2016

Lily, which is one of Korea's main flower exports, is one of the most important agricultural product in the country. Korean lily farmers have difficulty earning more profit from producing lilies, because of the high cost of lily bulbs. Most lily bulbs used in Korea are imported from the Netherlands. Thus, the Korean government has kept trying to supply more and better Korean lily bulbs. However, many experts have questioned the efficiency and economic value of the Korean lily production system. The purpose of this paper is to analyze the economic value of the production of lily bulbs in Korea. Especially, this study evaluates the economic value of the production systems of Korean lily bulbs and compares the results from several cases. The results of the present study presents some useful findings, as follows: first, two Korean production areas (Gangneung and Jeju) show a positive economic value but one Korean production area (Taean) presents problems causing a negative economic value. Second, the Korean production area in Vietnam currently has trouble in the view of economic value but will likely overcome that problem. Third, the production area in the Netherlands shows the best economic value. Thus, Korean lily bulb producers need to benchmark that system.

• Journal of Contemporary Eastern Asia
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• 제18권1호
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• pp.124-152
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• 2019

Smart city, which employs information and communication technology (ICT) to resolve urban problems, is gaining more research attention in the innovation research. However, most previous studies regard citizens as merely passive accepters of the smart city services, focusing on individual private values. The present study aims to expand existing limited perspectives by applying public value management theory. Drawing from the literature review, we developed a dual perspective that a smart city service should encompass: private and public value. Then we set up a causal relationship between the value recognitions and intention to adopt smart city services. We further related antecedent variables to the dual value recognition in terms of citizens' characteristics: prior knowledge, personal innovativeness, and citizenship. Two case subjects among currently operating smart city services in South Korea were selected to empirically investigate our hypothesis. Results confirm the recognition of both public and private value is significantly related to the citizens' personal characteristics and resultant attitude towards acceptance and support for diffusion of the smart city services. This study is expected to provide useful implications for a new angle for the recipient of the smart city services, value orientation of the services, citizen's participation, and method selection for promotion.

• 대한수학회지
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• 제48권1호
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• pp.133-146
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• 2011

We employ a hyperbolic tangent function to construct nonlinear transformations which are useful in numerical evaluation of weakly singular integrals and Cauchy principal value integrals. Results of numerical implementation based on the standard Gauss quadrature rule show that the present transformations are available for the singular integrals and, in some cases, give much better approximations compared with those of existing non-linear transformation methods.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1995년도 추계학술대회 논문집
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• pp.135-138
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• 1995

This paper presents a method to calculate the escape frequency factor and its verification from TSC(Thermally Stimulated Current) equation and cures. To apply calculation method of ν using asymptotic estimation, it utilized two sets of TSC data with 1K interval. This method enables one to get the exact value of ν and activation energy at the same time by using computer programming. So, it regards their calculation method as a useful process to obtain the value of physical behavior.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 컴퓨터소사이어티 추계학술대회논문집
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• pp.235-238
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• 2003

Conventional stride predictor is useful for predicting data values which vary by a constant value. However, when the data values of shift, multiplication, and division instructions are predicted, the stride predictor can't show the best performance. Thus, we propose predictor using stride and shift to improve predictability. The predictor using stride and shift takes advantage of shift values as well as stride values, so that the overall coverage of prediction increases.

• 한국수학교육학회지시리즈B:순수및응용수학
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• 제1권1호
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• pp.29-33
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• 1994

There are various aspects of the solution of boundary-value problems for second-order linear elliptic equations in two independent variables. One useful method of solving such boundary-value problems for Laplace's equation is by means of suitable integral representations of solutions and these representations are obtained most directly in terms of particular singular solutions, termed Green's functions.(omitted)

• Journal of the Korean Data and Information Science Society
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• 제16권2호
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• pp.283-288
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• 2005

Value at Risk(VaR) has been proven useful in finance literature as a tool of risk management(cf. Jorion(2001)). This article is concerned with introducing VaR to various Korean financial time series. Five daily data sets with sample period ranging from 2000 and 2004 such as KOSPI, KOSPI 200, KOSDAQ, KOSDAQ 50 and won-dollar exchange rate are analyzed using GARCH modeling and in turn VaR is obtained for each data.

• Journal of the Korean Data and Information Science Society
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• 제15권2호
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• pp.331-337
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• 2004

In the analysis of massive volume data, a neural network model is a useful tool. To implement the Neural network model, it is important to select initial value. Since the initial values are generally used as random value in the neural network, the convergent performance and the prediction rate of model are not stable. To overcome the drawback a possible method use samples randomly selected from the whole data set. That is, coefficients estimated by logistic regression based on the samples are the initial values.