• The Journal of Fisheries Business Administration
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• v.32 no.1
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• pp.81-97
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• 2001

The main objective of this research is to identify the evaluation criteria of the local governments' projects for the fisheries industry development (LGPFID) and to develop the evaluation software prototype applicable to LGPFID. This research does not try to develop the whole evaluation processes and programs for LGPFID, but just to outline the approach to managing LGPFID. The evaluation processes and programs developed in this study is based on the group decision support systems(GDSS), which is a collaborative, system-oriented, and objective system useful in evaluating LGPFID. Specifically the goals of the programs are to : (1) enhance the quality of evaluation process for LGPFID; (2) provide the local government decision makers' and interest groups' access to comprehensive evaluation information; (3) support private-public collaboration in government's decision making. We used analytic hierarchy process model as a group decision making model and programmed the application software prototype with Visual Basic language.

• Korea Science and Art Forum
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• v.35
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• pp.303-313
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• 2018

Cooperation and participation in Local Expo by local residents as a Mega event is critically important to maximize the effectiveness of event. By studying on residents' expectation and on whether the expectation affects to their making decision for their attitude, we tried to draw the basis for successful operation of local expo. In conclusion, the result of analysis shows that local residents' expectation on Expo affects positively and meaningfully to their intention and attitude to cooperation and participation.

• Journal of Digital Contents Society
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• v.8 no.3
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• pp.309-314
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• 2007

A decision tree algorithm should be modified to be suitable in distributed and collaborative environments for distributed data mining. The distributed data mining system proposed in this paper consists of several agents and a mediator. Each agent deals with a local data mining for data in each local site and communicates with one another to build the global decision tree model. The mediator helps several agents to efficiently communicate among them. One of advantages in distributed data mining is to save much time to analyze huge data with several agents. The paper focuses on a transfer technique among agents dealing with each local decision tree model to reduce huge overhead in communication among them.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.2
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• pp.536-564
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• 2019

Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.183-187
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• 2007

During the recent decades in democratic and industrialized countries, government policies for governing technological innovation and risks to environment and human health have undergone significant changes. The shift from a top-down legislative approach to a more inclusive and deliberative atmosphere is, putatively the most prominent change. Such a move is often described as a move from government to governance. In the governance of technology and risk, public engagement has been a major strategy in technology decision-making process. This article aims to look into the changes in the procedural modes of technology decision-making process. It discusses the main viewpoints that have been placed on the basis of such a move. Also, it further relates the changes in local decision-making process to science and technology decision-making at global level. It argues that the democratic and reflexive trends in local science and technology decision-making will be the basis upon which to shape and respond to global governance system: while international decision-making process would require accountability in integrating different values and rationalities, such accountability may be sustained and reinforced depending on the robustness of the local decisions and social choices.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.163-189
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• 2010

The purpose of this research is to develop a decision-making model for the calculation of the National Disaster Management System's standard prevention workforce quota. The final purpose of such model is to support in arranging a rationally sized prevention workforce for local authorities by providing information about its calculation in order to support an effective and efficient disaster management administration. In other words, it is to establish and develop a model that calculates the standard disaster prevention workforce quota for basic local governments in order to arrange realistically required prevention workforce. In calculating Korea's prevention workforce, it was found that the prevention investment expenses, number of prevention facilities, frequency of flood damage, number of disaster victims, prevention density, and national disaster recovery costs have positive influence on the dependent variable when the standard prevention workforce was set as the dependent variable. The model based on the regression analysis-which consists of dependent and independent variables-was classified into inland mountainous region, East coast region, Southwest coastal plain region to reflect regional characteristics for the calculation of the prevention workforce. We anticipate that the decision-making model for the standard prevention workforce quota will aid in arranging an objective and essential prevention workforce for Korea's basic local authorities.

• Geomechanics and Engineering
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• v.35 no.1
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• pp.67-80
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• 2023

Due to the nature of the conjunctive Cone Penetration Test(CPT), which does not verify the actual sample directly, geotechnical engineers commonly classify the underground geomaterials using CPT results with the classification diagrams proposed by various researchers. However, such classification diagrams may fail to reflect local geotechnical characteristics, potentially resulting in misclassification that does not align with the actual stratification in regions with strong local features. To address this, this paper presents an objective method for more accurate local CPT soil classification criteria, which utilizes C4.5 decision tree models trained with the CPT results from the clay-dominant southern coast of Korea and the sand-dominant region in South Carolina, USA. The results and analyses demonstrate that the C4.5 algorithm, in conjunction with oversampling, outlier removal, and pruning methods, can enhance and optimize the decision tree-based CPT soil classification model.

• Journal of Digital Convergence
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• v.14 no.11
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• pp.173-179
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• 2016

This study was conducted to provide basic information for future Anseong local food policy and local food activation by finding the key factor determining consumer purchasing for Anseong local food. First, we conducted a survey and derived consumer purchasing attributes for the local food. Logistic regression analysis was performed to find the main factors that determine the consumers' purchase intention for Anseong local food out of such seven attributes as 'excellent quality', 'safety', 'good for health', 'activation of local economy', 'low price', 'accessibility', 'variety of items'. The results showed that the most influencing attributes on consumers' purchase decisions for Anseong local food were 'excellent quality' and 'low price' followed by 'accessibility' and 'activation of local economy'.

• Korean Journal of Organic Agriculture
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• v.21 no.4
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• pp.589-600
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• 2013

The Purpose of this paper is to analysis on consumer's purchasing behavior and intention of local food. To analysis consumer's purchasing behavior, a series of homemaker surveys were conducted. The sample size of the survey is 416 respectively. As a survey result, consumer's purchasing behavior shows that purchasing ratio of local food and buying place is various type. By decision tree model analysis showed that consumer's purchasing intention is enough to establishing local food system in region. Therefore, strategies for regional consumption are needed expression of the place city and county of origin, diversification of purchasing item and buying area, and sustainable improvement for safety and trust on local food.

• The International Journal of Costume Culture
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• v.13 no.2
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• pp.130-140
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• 2010

This research was carried out by setting hypotheses on recognition of the global image of the research subject, a domestic cosmetic brand and consequent quality of the brand, reputation of the brand, purchasing decision, influence of images of expanded countries and their correlations to investigate what effect the global images of local brands practically have on domestic consumers' purchasing decision. The analysis results show that overseas expansion of the research subject brand has positive influence on the brand possessing global images. However, it can be seen that the quality of the brand has much larger influence on the reputation of the brand than the images of global brand. In addition, the images of the expanded countries have influence on purchasing decisions but the global images based on the expanded countries did not have much influence on purchasing decisions. Therefore, it can be seen that global images based on high levels of brand reputation and quality are requirements of a most competitive brand than images of the expanded countries in forecasting likelihood of purchase.