• Journal of Korea Technology Innovation Society
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• v.12 no.1
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• pp.113-136
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• 2009

The purpose of this study is to develop meta evaluating indicators for Defense R&D Programs in Korea. At first, the four components of this meta evaluation model were designed, which are evaluation context, evaluation input, evaluation process, evaluation output. And fifty two indicators were developed for this meta evaluation. Basic model of meta evaluation was derived from the literature review and brain storming. And this meta evaluation model was determined by adapting the result of experts who performed evaluations for Defense R&D Programs in recent years. Factor Analysis method was used to verify the validity of meta evaluation model. The survey of fifty three members turned out that Cronbach' ${\alpha}$ was over 0.6 in evaluation components and items. And the reliability of evaluation context was 0.877, that of evaluation input was 0.755, that of evaluation process was 0.755, that of evaluation output was 0.755 respectively. Analytic Hierarchy Process (AHP) method was used in assigning the evaluation weight. The survey of twenty two members showed that the Consistency Ratio was 0.09 in evaluation components and items.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.176-183
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• 2013

This study is focused on analyzing the quality importance of hotel SNS(social network service). And by reviewing precedent papers and references regarding concept and quality factors about SNS in hotel industry, it drew proper criteria to select priorities and evaluate hotel SNS quality using AHP. The important factors based upon related theories are suggested in this paper such as information quality, system quality, service quality, interface quality and emotional quality. The survey for empirical study was executed with hotel employees and total 149 questionnaires were used for this study. We used AHP for statistical analysis, As the results, the most important factor is emotional quality factor and the next is interface quality factor.

• Korean Journal of Remote Sensing
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• v.19 no.4
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• pp.329-339
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• 2003

In this study, an approach of image fusion in decision level has been proposed for unsupervised image classification using the images acquired from multiple sensors with different characteristics. The proposed method applies separately for each sensor the unsupervised image classification scheme based on spatial region growing segmentation, which makes use of hierarchical clustering, and computes iteratively the maximum likelihood estimates of fuzzy class vectors for the segmented regions by EM(expected maximization) algorithm. The fuzzy class vector is considered as an indicator vector whose elements represent the probabilities that the region belongs to the classes existed. Then, it combines the classification results of each sensor using the fuzzy class vectors. This approach does not require such a high precision in spatial coregistration between the images of different sensors as the image fusion scheme of pixel level does. In this study, the proposed method has been applied to multispectral SPOT and AIRSAR data observed over north-eastern area of Jeollabuk-do, and the experimental results show that it provides more correct information for the classification than the scheme using an augmented vector technique, which is the most conventional approach of image fusion in pixel level.

• Journal of the Korea Institute of Building Construction
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• v.21 no.3
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• pp.249-256
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• 2021

Fatal accidents in the construction industry account for a higher proportion than other industries, and in particular, the collapse accident of formwork is likely to lead to a serious accident like death. This study aim to derive the importance ranking of formwork collapse factors using AHP technique for preventing fatal accident. The AHP survey was conducted on field construction engineers, construction project managers, safety managers, and formwork specialist foreman with 10 years on site experience. The results of AHP analysis is that the most importance factor of formwork collapse accident is 'non-compliance with the formwork shoring assembly drawing'. Next it is important in the order of 'poor installation of formwork shoring and accessories', 'formwork shoring is not installed vertically', 'non-compliance with the concrete curing period of the formwork shoring', 'safety supervisor not designated and negligent'. It is necessary to preferentially and intensively manage the high importance factors presented as a result of this research for reducing formwork collapse accident. In addition, it will contribute to reducing construction safety accidents if the factors of the formwork collapse accident suggested in this research are included in the formwork inspection check list and checked step by step in formwork construction.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.139-148
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• 2018

This study suggests the direction of management theory education in business administration under the university-linked program of Korean work and study in parallel policy. As a social science, business education is essentially to cultivate people of talent capable of making the right decisions in the social phenomenon (business practices) rather than educate skills for solving a specific issue. At the same time, the parallel system is aimed at cultivating talented people who can work practically in the real field. Therefore, practical education and theoretical education should be linked organically, and the theoretical education should be layered. Also, management education should be guaranteed to be timely and cultivate fusion thinking. Based on this background, this study is expected to contribute to the upgrading of the parallel system and education level in the future by reviewing the curriculum of the business administration department of domestic universities.

• Korean Journal of Construction Engineering and Management
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• v.22 no.4
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• pp.11-19
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• 2021

Despite of the various advantages of modular construction method and the continued growth of related markets, it is difficult to activate them because no specific system has been established in Korea. Accordingly, this study derived improvement areas and tasks for activating modular construction methods through existing literature reviews and preliminary surveys. Then, AHP analysis and expected utility evaluation were conducted for expert groups to derive priority for improvement areas and tasks. In addition, opinions of enterprise and architectural research were compared and analyzed, and the analysis results suggested the direction of policy establishment and system improvement. This study is expected to be used as a basic study for policy decision-making to activate modular construction method.

• Journal of Korea Planning Association
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• v.54 no.7
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• pp.58-69
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• 2019

This study suggested the necessity of introducing the future-oriented new industrial complex as a way to enhance the competitiveness of the industrial complex in response to the industrial ecosystem change caused by the 4th industrial revolution. To evaluate the location suitability for the new industrial complex, location indices were developed in this study. The flexibility of location and connectivity to neighboring areas of the future-oriented new industrial complexes were the focused subjects of this study. In-depth expert consultation and Delphi survey were conducted to construct an index system and to measure the indices. Afterwards, the AHP analysis was conducted to elucidate the weighting by indicators. As a result, the indicators of industrial innovation environment were the most important in the major category. In addition, the convenience of workers, especially urban environment, was analyzed as an important factor for success of the future-oriented new industrial complex. The indicators which are closely related to the concept and purpose of the future-oriented new industrial complex turned out to have the higher weight compared to other indicators. From the point of view of the developers of the industrial complexes or tenant companies, the implications for deriving suitable locations for development of industrial complexes among urban under-utilized sites are suggested. Furthermore, It is expected that the government will be able to apply the development system to stimulate the development of these new industrial complexes and to prepare guidelines for selecting locations.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.12
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• pp.321-332
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• 2020

Decentralized approaches are extensively researched by academia and industry in order to cover up the flaws of existing systems in terms of data privacy. Blockchain and decentralized learning are prominent representatives of a deconcentrated approach. Blockchain is secure by design since the data record is irrevocable, tamper-resistant, consensus-based decision making, and inexpensive of overall transactions. On the other hand, decentralized learning empowers a number of devices collectively in improving a deep learning model without exposing the dataset publicly. To motivate participants to use their resources in building models, a decent and proportional incentive system is a necessity. A centralized incentive mechanism is likely inconvenient to be adopted in decentralized learning since it relies on the middleman that still suffers from bottleneck issues. Therefore, we design an incentive model for decentralized learning applications by leveraging the Ethereum smart contract. The simulation results satisfy the design goals. We also outline the concerns in implementing the presented scheme for sensitive data regarding privacy and data leakage.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.101-107
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• 2022

Modeling and simulation is a technique used for operational verification, performance analysis, operational optimization, and prediction of target systems. Discrete Event System Specification (DEVS) of this representative technology defines models with a strict formalism and stratifies the structures between the models. When the atomic DEVS models operate with an intention different the target system, the simulation may lead to erroneous decision-making. However, most DEVS systems have the exclusion of the model test or provision of the manual test, so developers spend a lot of time verifying the atomic models. In this paper, we propose a script-based automated test system for accurate and fast validation of atomic models in Python-based DEVS. The proposed system uses both the existing method of manual testing and the new method of the script-based testing. As Experimental results in our system, the script-based test method was executed within 24 millisecond when the script was executed 10 times consecutively. Thus, the proposed system guarantees a fast verification time of the atomic models in our script-based test and improves the reusability of the test script.

• Convergence Security Journal
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• v.22 no.5
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• pp.135-143
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• 2022

The defense environment is rapidly changing, such as nuclear and missile threats of North Korea, changes in war patterns, and a decrease in military service resources due to low birth rate. In order to actively respond to these changes, the Korean military is promoting Defense Innovation 4.0 and is trying to foster an army armed with high technology such as artificial intelligence (AI), big data analysis, etc. In this regard, we analyze the effectiveness of the radar-based AI scientific guard system applied by high technology for guard operations using Analytic Hierarchy Process (AHP). We first select evaluation factors that can assess the effectiveness of the scientific guard system, and analyze its relative importance. Each evaluation factor was selected by deriving a significant concept from operating principle and how they work, and by consulting experts on the correlation between each factor and effectiveness of the scientific guard system. We examine the relative effects of the radar-based AI scientific guard system and existing scientific guard system based on the importance of the evaluation factors.