• Journal of the Economic Geographical Society of Korea
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• v.17 no.3
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• pp.554-566
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• 2014

This paper analyses the relationship between regional economic power defined as GRDP per capita and various socioeconomic variables such as fiscal variables(revenue, expenditure, etc.) as well as nonfiscal variables(population, ratio of old population, unemployment rate, dependency ration) using the pooling data of 16 local governments from 1998 to 2012. To put it concretely, following the Granger causality test, regression analysis has been done with the regional economic power being the dependent and variables which have either one or two direction causality being independent variables. And test of cumulative effects has been done with variables showing statistical significance in the regression analysis. Local tax revenues per capita, expenditures of social development per capita and median age have positive effects, while dependency ratio has negative effect on regional economy. And national subsidy per capita, local tax revenues per capita, expenditures of social development per capita and median age all have cumulative effects on regional economy.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.3
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• pp.397-407
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• 1995

Use of a hypertext is growing as multimedia and hypermedia systems become popular. The major difference between hypertext-based and ordinary user interfaces is navigation. Typically, there are two major navigation problems in a hypertext compared to the ordinary user interface: "Disorientation" and "Cognitive Overload". To reduce or eliminate these problems of the hypertext system, a variety of aiding tools have been proposed. Among them, a local map is a good tool for helping users navigate through screens, especially for a large and complex system. This study examined three major design variables of a local map in a hypertext: breadth, depth, and functionality of a map. A human factors experiment was conducted to investigate the effects of these variables. Based upon the results of the experiment, design guidelines are suggested.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.1
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• pp.31-38
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• 2013

The purpose of this study was to evaluate climate change vulnerability over the agricultural infrastructure in terms of flood and drought using principal component analysis. Vulnerability was assessed using vulnerability resilience index (VRI) which combines climate exposure, sensitivity, and adaptive capacity. Ten flood proxy variables and six drought proxy variables for the vulnerability assessment were selected by opinions of researchers and experts. The statistical data on 16 proxy variables for the local governments (Si, Do) were collected. To identify major variables and to explain the trend in whole data set, principal component analysis (PCA) was conducted. The result of PCA showed that the first 3 principal components explained approximately 83 % and 89 % of the total variance for the flood and drought, respectively. VRI assessment for the local governments based on the PCA results indicated that provinces where having the relatively large cultivation areas were categorized as vulnerable to climate change.

• Journal of the Korean Statistical Society
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• v.29 no.1
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• pp.9-16
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• 2000

This article addresses the problem of maximum likelihood estimation in ARCH regression with lagged dependent variables. Some topics in asymptotics of the model such as uniform expansion of likelihood function and construction of a class of MLE are discussed, and the regularity property of MLE is obtained. The error process here is possibly non-Gaussian.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.9
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• pp.1399-1407
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• 2004

Structural optimization has been carried out in continuous design space or in discrete design space. Generally, available designs are discrete in design practice. However, the methods for discrete variables are extremely expensive in computational cost. An iterative optimization algorithm is proposed for design in a discrete space, which is called a sequential algorithm using orthogonal arrays (SOA). We demonstrate verifying the fact that a local optimum solution can be obtained from the process with this algorithm. The local optimum solution is defined in a discrete design space. Then the search space, which is a set of candidate values of each design variables formed by the neighborhood of a current design point, is defined. It is verified that a local optimum solution can be found by sequentially moving the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained by using the SOA algorithm

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1005-1010
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• 2004

The structural optimization has been carried out in the continuous design space or in the discrete design space. Generally, available designs are discrete in design practice. But methods for discrete variables are extremely expensive in computational cost. In order to overcome this weakness, an iterative optimization algorithm was proposed for design in the discrete space, which is called as a sequential algorithm using orthogonal arrays (SOA). We focus to verify the fact that the local solution can be obtained throughout the optimization with this algorithm. The local solution is defined in discrete design space. Then the search space, which is the set of candidate values of each design variables formed by the neighborhood of current design point, is defined. It is verified that a local solution can be founded by moving sequentially the search space. The SOA algorithm has been applied to problems such as truss type structures. Then it is confirmed that a local solution can be obtained using the SOA algorithm

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.795-806
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• 2021

This study analyzes and assesses the effect of good governance consisting of accountability, transparency, and participation on the financial performance of Pare-Pare City local government moderated by the basic values of Siri culture in the form of Lempu (honesty), Amaccangeng (intelligence), and Awaraningeng (courage). The population of this research is 200 local government employees (respondents). The results of data analysis showed that accountability and participation variables had no significant effect on the financial performance of the Pare-Pare City local government. However, the transparency variable has an influence on local government financial performance. It is hoped that all these 3 variables (accountability, transparency, and participation) will have a significant effect on local government financial performance. To achieve this, it is necessary to apply cultural values that exist in society so that cultural values can provide greater guidance in the management of regional finances. The results provide a better understanding of the importance of Siri's cultural value in the implementation of public services to the community. With Siri's cultural values in the form of Lempu, Amaccangeng, and Awaraningeng embedded in their behavior, government employees can improve performance and avoid deviant behavior or corruption. The novelty of this research is a form of analysis by using local cultural values (the basic values of Siri culture) as the moderating variable.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.381-387
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• 2022

The growth of local fashion brands in Indonesia is interesting because of the speed with which new designs are made, many variants are created, and local brands are developed. However, when it comes to buying local fashion products, the brand isn't the sole consideration. As a result, the marketing effectiveness of local fashion brands needs to be examined more thoroughly. The purpose of this study was to understand more about brand authenticity and how it affects brand usage intentions. The unit of analysis in this study was Generation Z, who purchase from local fashion companies online. A quantitative research methodology was used. The data was analyzed using the PLS-SEM method to test the hypotheses with the dependent variables. The variables were the intention of using the brand, the quality of the brand relationship, and the authenticity of the brand. The results of this study indicated that brand authenticity had an effect on brand usage intent and brand relations quality mediates the positive effect of brand authenticity on brand usage intent.

• Korean Journal of Legislative Studies
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• v.27 no.2
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• pp.111-143
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• 2021

It is necessary to analyze the budget power during the budget process of the local council, paying attention to strengthening the capacity of local council and reinforcing expertise to secure accountability. The budget power of council is expressed in various terms such as power of the purse and the authority to control the budget, and focuses on the role of control and check in the council's budget process. The purpose of this study is to analyze the factors that political·administrative variables, social·economical variables affect the budget power of local council. The budget power of councils was set as the budget net modification rate and the period for processing the budget bill at the plenary session. And the effects of various variables were checked. As a result, the local council confirmed that there was a lack of checks and controls in the budget process.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.924-935
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• 2023

Purpose: The central aim of this study is to leverage machine learning techniques for the classification of Intrusion Detection System (IDS) data, with a specific focus on identifying the variables responsible for enhancing overall performance. Method: First, we classified 'R2L(Remote to Local)' and 'U2R (User to Root)' attacks in the NSL-KDD dataset, which are difficult to detect due to class imbalance, using seven machine learning models, including Logistic Regression (LR) and K-Nearest Neighbor (KNN). Next, we use the SHapley Additive exPlanation (SHAP) for two classification models that showed high performance, Random Forest (RF) and Light Gradient-Boosting Machine (LGBM), to check the importance of variables that affect classification for each model. Result: In the case of RF, the 'service' variable and in the case of LGBM, the 'dst_host_srv_count' variable were confirmed to be the most important variables. These pivotal variables serve as key factors capable of enhancing performance in the context of classification for each respective model. Conclusion: In conclusion, this paper successfully identifies the optimal models, RF and LGBM, for classifying 'R2L' and 'U2R' attacks, while elucidating the crucial variables associated with each selected model.