• Herbal Formula Science
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• v.16 no.1
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• pp.169-183
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• 2008

In this study, we measured body mass index, visceral fat ratio and 6 parts of body, neck circumference, circumference of upper arm, chest circumference, abdomen circumference, hip circumference, and thigh circumference by bioimpedence analysis system, after taking Gyeongshingangjeehwan16 (GGEx16) in five months except the first period before taking GGEx16 on 49 women who are obesity or high-level obesity. In order to examine the significance test for the effect of obesity improvement of GGEx16, we practices repeated measure ANOVA with values of measurement variables in 6 monthly times. As a result of all measurement variables, there were significant difference (P-value=0.001). Therefore, we can say that GGEx16 is effective about obesity improvement. As it dramatically decreased between second measure period and first measure period for all measure variables, we can see that there were the most effect of GGEx16 in the first time after taking GGEx16. It is known that a important measurement variable to have a effect for obesity improvement about two variable which are body mass index and visceral fat ratio is waist circumference through correlation analysis. The result of whether there are differences to effect of obesity improvement for GGEx16 around the climacteric, there were significant difference for the effect of obesity improvement for GGEx16 around the climacteric about all parts of body (P-value=0.001). There were also powerfully difference in effect of obesity improvement for GGEx16 around the climacteric about all parts of body (P-value=0.001). Especially, the climacteric before is more effective than the climacteric after in the aspect of the effect of GGEx16.

• Journal of Korean Library and Information Science Society
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• v.42 no.1
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• pp.183-203
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• 2011

The purpose of this study is to propose an effective development of teacher librarians' practice teaching and to identify how much teacher librarians' practice teaching affects their expertise in Korea. For this, two research models are constructed. The first model is to analyze the relationship of variables between the effect of practice teaching and the following variables: pretraining, practice program, advisory teacher, training condition and organizational atmosphere. The second model is to analyze how much the practice teaching affects their role perception and expertise compared with training courses and field experiences. The result is as follow: It is the training program that greatly affects teacher librarians' practice teaching among those variables. And the practice teaching has a positive effect on the ability of role performance. According to the above result, the practice teaching is effective in developing teacher librarians' expertise. And more systematic practice teaching program, enough pretraining and the efforts of advisory teacher are necessary to enhance the effect of teacher librarians' practice teaching.

• The Journal of Information Systems
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• v.11 no.1
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• pp.51-74
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• 2002

The purpose of this study is to empirically investigate critical success factors for effective implementation of web-based distance learning system. First of all, four critical success factors are theoretically derived from reviewing previous research. They are: (1) learner-related factor including the variables such as teaming ability, learning attitude, and attending motivation, (2) environmental factor including the variables of physical and mental support for learners, (3) instructional design factor represented by one variable, the degree of appropriateness of learning contents, and (4) the factor concerning the level of self-directed learning readiness embracing the variables such as curiosity for learning, openness towards challenge of learning and affection for learning. Subsequently, the relationships between these four critical success factors and the degree of learning satisfaction are empirically investigated. The data for empirical analysis of the research are collected from 1,020 respondents who have already passed the web-based distance learning courses which have been implemented in Information and Communication Officials Training Institute. Out of 1,020 responded questionnaires, 875 data were available for statistical analyses. The main results of this study are as follows. Firstly, the most important factor for successful implementation of the web-based distance learning system is shown to be the instructional design factor, and in the next place, the self-directed learning readiness factor, the environmental factor and the learner-related one in sequence. Secondly, additional analysis of the variables included in the instructional design factor shows that availability of practical information and knowledge is the most influencing variable, and next, interesting composition of contents, reasonable learning amount, optimal level of instruction, and understandable explanation are significantly important in the descending order. Lastly, among learning motivators, strong intention of acquiring business knowledges and skills is found to be the most important satisfier in the web-based distance learning. The theoretical contribution of this study is to derive a comprehensive model of critical success factors for implementing the web-based distance learning system. And, the practical implication of this study is to propose efficient and effective guidelines for developing and operating the web-based distance learning system in the various kinds of organizations.

• Journal of Korean Library and Information Science Society
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• v.42 no.2
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• pp.323-341
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• 2011

In this study, the factor that affect use value of domestic public library was analysed. This study try to grasp the effect of various variables such as characteristics of the respondent and library through the measurement using CVM that extract the value by the user's statement. For this purpose, effective variables identified in the value measurement study of domestic and foreign public library was grasped and characteristics of the effective variables presented in the study examined. The factor influenced WTP representing library's value are the demographic characteristics such as gender, income, age and the using pattern such as frequency of use, time to visit. As to user's satisfaction and recognition, the recognition about librarian's satisfaction, place for resident's exchange, degree of financial support, culture-art volunteers are affecting depending on the service such as information, facilities and programs. The study comprehensively analysed the impact on the value measured by all types of public library in the nation and provided the information about property of value assessed by user according to region and scale. This information is expected to help the strategic policy making to enhance the value of library in the future.

• Journal of the Korean Data and Information Science Society
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• v.19 no.2
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• pp.463-473
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• 2008

In this study, we measure damage depth and calculate effective impact speed in case of rear-end collision using real car insurance data. We study the relationship between demage depth and effective impact speed, and present statistical model for these two variables. In our real data study, 3-degree polynomial equation model is better fit to effective impact speed and demage depth than the simple linear model that are estimated in previous other studies. Damage depth is a major factor to see the extent of impact in a car collision, and by using this equation, it is possible to evaluate the severity of driver's injury.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.4
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• pp.50-60
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• 1996

The purpose of this study is to investigate the prime factors that affect user satisfaction of area and facilities in urban forests, to classify those factors, to find out factorial structure of user satisfaction about them, and then to suggest important indicators in the urban forest planning, design, and development. The survey research was done using the self-administered questionnaire method by the people in the city of the Pusan who participated in recreational activities in the Mt. Keumjung. Factor analysis was used to extract the prime factors related to the recreational satisfaction concerning the area and facilities of the urban forest by the SPSS program, and then prime factors were used to investigate the factorial structure of user recreational satisfaction in the urban forest by the LInear Structure RELation program. According to the factor analysis concerning the 13 variables, 4 prime factors by the statistical values were considered as effective, indicating, 'health and recreational facilities', 'convenience and management facilities','facilities for the physical and psychological training' and 'historical and cultural areas'. The results of the causal structure analysis were identified as having significant effects mutually on endogenous variables, 'overall recreational satisfaction of the areas and facilities in the Mt. Keumjung','health and recreational facilities','convenience and management facilities','facilities for the psychological training', and 'historical and cultural areas'. But exogenous variables which have significant effects on endogenous variables were also indentified. Overall fits of both causal model were very good. The hypothetical causal structural equation models based on the results found partially significant correlation between dndogenous variables and between envogenous and exogenous variables. These significant relationships indiate important factors and variables that should be considered in planning, design, and development of the urban forests. Therefore, development direction of the Mt. Keumjung has to be analyzed as significant factors concerning user recreational satisfaction in a systematic was, recognized as important variables for planning process. The plan for development and management also should reflect the natural conservation policy from the environmental conservation movement like natural conservation advertisement and environmental education.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.123-129
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• 2016

In the manufacturing industry fields, thousands of quality characteristics are measured in a day because the systems of process have been automated through the development of computer and improvement of techniques. Also, the process has been monitored in database in real time. Particularly, the data in the design step of the process have contributed to the product that customers have required through getting useful information from the data and reflecting them to the design of product. In this study, first, characteristics and variables affecting to them in the data of the design step of the process were analyzed by decision tree to find out the relation between explanatory and target variables. Second, the tolerance of continuous variables influencing on the target variable primarily was shown by the application of algorithm of decision tree, C4.5. Finally, the target variable, loss, was calculated by a loss function of Taguchi and analyzed. In this paper, the general method that the value of continuous explanatory variables has been used intactly not to be transformed to the discrete value and new method that the value of continuous explanatory variables was divided into 3 categories were compared. As a result, first, the tolerance obtained from the new method was more effective in decreasing the target variable, loss, than general method. In addition, the tolerance levels for the continuous explanatory variables to be chosen of the major variables were calculated. In further research, a systematic method using decision tree of data mining needs to be developed in order to categorize continuous variables under various scenarios of loss function.

• Smart Media Journal
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• v.9 no.4
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• pp.26-35
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• 2020

Attempts to predict future stock prices have been studied steadily since the past. However, unlike general time-series data, financial time-series data has various obstacles to making predictions such as non-stationarity, long-term dependence, and non-linearity. In addition, variables of a wide range of data have limitations in the selection by humans, and the model should be able to automatically extract variables well. In this paper, we propose a 'sliding time step normalization' method that can normalize non-stationary data and LSTM autoencoder to compress variables from all variables. and 'moving transfer learning', which divides periods and performs transfer learning. In addition, the experiment shows that the performance is superior when using as many variables as possible through the neural network rather than using only 100 major financial variables and by using 'sliding time step normalization' to normalize the non-stationarity of data in all sections, it is shown to be effective in improving performance. 'moving transfer learning' shows that it is effective in improving the performance in long test intervals by evaluating the performance of the model and performing transfer learning in the test interval for each step.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.731-740
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• 2021

This research aims to investigate the determinants of real effective exchange rate in emerging ASEAN countries, including Indonesia, Malaysia, Philippines, Thailand, and Vietnam. The research was conducted by using quarterly time series data set from 1980Q1 to 2020Q3. Cointegration and the error correction model (ECM) methods were applied to test the long run and short run relationship of the real effective exchange rate and its determinants. The results indicate that the ratio of foreign direct investment to GDP and the government spending have significantly positive impact on real effective exchange rate in the Emerging ASEAN countries. The trade opening had influencing real effective exchange rate in most the Emerging ASEAN countries, except Vietnam. In addition, the international reserve (INR) had significant long-run impacts variables on real effective exchange rate in Malaysia, Thailand and Vietnam. In the short run equilibrium, the error collection term suggest that Indonesia and Malaysia are the fastest speed adjustment to equilibrium. In addition, the term of trade influence the real effective exchange rate in Indonesia, Malaysia, and the Philippines but it is not in Thailand and Vietnam. However, FDI is a major factor of the real effective exchange rate in Vietnam, but not for other countries.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.171-179
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• 2009

In this paper we studied the effective approximations to the distribution of the sum of products of normal variables. Based on the saddlepoint approximations to the quadratic forms, the suggested approximations are very accurate and easy to use. Applications to the FSK (Frequency Shift Keying) communication are also considered.