• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.296-308
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• 2022

In the COVID-19 crisis, the elderly over 60 have various psychological health problems such as depression, anxiety, and fear, and the community has become the only space for senior activities. To this end, this study presented a therapeutic aging-friendly community environmental design evaluation system using theoretical review, FGI interview, and hierarchical analysis AHP. The evaluation system is a three-dimensional space, with 10 upper layers and 68 lower layers. In addition, the weight of each index of the evaluation system was distributed through expert survey and SPSS program analysis. First, the material space environment design must satisfy the comfort and health of the elderly when they are active in a common space for their daily life. Second, the design of social space environment is designed to promote exchange and social connection among the elderly. Third, the operating space environment design considers the operating system of the community operating company as important. Through this, it is expected to improve the psychological health of the elderly by providing systematic technical basis and action guidelines for the development of the residential environment of the elderly.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.187-194
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• 2019

The purpose of this study was to review the Gentrification and Development Index in terms of domestic and foreign gentrification. Based on the important indicators of the Gentrification index through previous research, the four evaluation areas were divided into structure and subject, production and consumption, supply and demand, and capital and culture. Looking at the importance of each area, the production and consumption aspects were highest as the important index of the occurrence of gentrification, followed in order by the supply and demand, the structure and subject, and the capital and culture order. From the detailed factors, the report revealed the changes in sales to structure and subject matter, increases in franchises to production and consumption, rises in rent to supply and demand, and transient population to capital and culture to be important items. In addition, an analysis of the gentrification occurrence indicators in urban regeneration project areas revealed high weight in terms of production and consumption, supply, and demand, including the increased franchises, one-person start-ups, higher rents and higher real estate values. In other words, the occurrence of gentrification in urban regeneration areas produces the largest portion of the increases in franchises and rent. Therefore, step-by-step measures are needed through monitoring.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.1-25
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• 2023

ESG management is becoming a necessity of the times, but there are about 600 ESG evaluation indicators worldwide, causing confusion in the market as different ESG ratings were assigned to individual companies according to evaluation agencies. In addition, since the method of applying ESG was not disclosed, there were not many ways for companies that wanted to introduce ESG management to get help. Accordingly, the Ministry of Trade, Industry and Energy announced the K-ESG guideline jointly with the ministries. In previous studies, there were few studies on the comparison of evaluation grades by ESG evaluation company or the application of evaluation diagnostic items. Therefore, in this study, the ease of application and improvement of the K-ESG guideline was attempted by applying the K-ESG guideline to companies that already have ESG ratings. The position of the K-ESG guideline is also confirmed by comparing the scores calculated through the K-ESG guideline for companies that have ESG ratings from global ESG evaluation agencies and domestic ESG evaluation agencies. As a result of the analysis, first, the K-ESG guideline provide clear and detailed standards for individual companies to set their own ESG goals and set the direction of ESG practice. Second, the K-ESG guideline is suitable for domestic and global ESG evaluation standards as it has 61 diagnostic items and 12 additional diagnostic items covering the evaluation indicators of global representative ESG evaluation agencies and KCGS in Korea. Third, the ESG rating of the K-ESG guideline was higher than that of a global ESG rating company and lower than or similar to that of a domestic ESG rating company. Fourth, the ease of application of the K-ESG guideline is judged to be high. Fifth, the point to be improved in the K-ESG guideline is that the government needs to compile industry average statistics on diagnostic items in the K-ESG environment area and publish them on the government's ESG-only site. In addition, the applied weights of E, S, and G by industry should be determined and disclosed. This study will help ESG evaluation agencies, corporate management, and ESG managers interested in ESG management in establishing ESG management strategies and contributing to providing improvements to be referenced when revising the K-ESG guideline in the future.

• Korean Journal of Remote Sensing
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• v.39 no.3
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• pp.283-295
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• 2023

With the development of sensor and satellite technology, numerous high-resolution and multi-spectral satellite images have been available. Due to their wavelength-dependent reflection, transmission, and scattering characteristics, multi-spectral satellite images can provide complementary information for earth observation. In particular, the short-wave infrared (SWIR) band can penetrate certain types of atmospheric aerosols from the benefit of the reduced Rayleigh scattering effect, which allows for a clearer view and more detailed information to be captured from hazed surfaces compared to the visible band. In this study, we proposed a multi-resolution transform-based image fusion method to combine visible and SWIR satellite images. The purpose of the fusion method is to generate a single integrated image that incorporates complementary information such as detailed background information from the visible band and land cover information in the haze region from the SWIR band. For this purpose, this study applied the Laplacian pyramid-based multi-resolution transform method, which is a representative image decomposition approach for image fusion. Additionally, we modified the multiresolution fusion method by combining a haze-guided weight map based on the prior knowledge that SWIR bands contain more information in pixels from the haze region. The proposed method was validated using very high-resolution satellite images from Worldview-3, containing multi-spectral visible and SWIR bands. The experimental data including hazed areas with limited visibility caused by smoke from wildfires was utilized to validate the penetration properties of the proposed fusion method. Both quantitative and visual evaluations were conducted using image quality assessment indices. The results showed that the bright features from the SWIR bands in the hazed areas were successfully fused into the integrated feature maps without any loss of detailed information from the visible bands.

• Information Systems Review
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• v.10 no.1
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• pp.165-191
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• 2008

Traditionally, information systems audit has been carried out by the auditors. So the main focuses of audit are managerial point of view, such as finding errors or missing functions. The final purpose of audit, however, is to help the organization to make better decision through better information services. So we felt that managerial point of audit should be extended to include the factors that increase the competitiveness of organization. To accomplish this goal, new factors that reflect the ideas of three groups, users, developers in addition to auditors. First, by adopting the ideas from service quality evaluation area, we develop six items and 24 indexes for information systems audit. Second, we separate the audit related parties into three groups, users, developers and auditors. The main reason is that major concerns of three groups to the system will be different considerably. Third, we quantified the weights of each group to each 6 items and 24 indexes using Analytic Hierarchy Process. Fourth, the resulting weights of each item are found to be different by the group, and possible reasons are analyzed.

• The Journal of Korean Association of Computer Education
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• v.11 no.6
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• pp.1-9
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• 2008

The goal of the education of Information Communication Ethics(ICE) is to improve the consciousness level of adolescents so that they themselves are able to judge between what's ethically right and wrong and, as a result, to take the right behavior. For this, we need to preferentially identify the primary factors in understanding and diagnosing the consciousness level of adolescents on the ICE. To solve this problem, in this paper, we identified four major indices that consist of the ICE consciousness through the meta analysis of the both domestic and international researches from the past 5 years in the related area and then, they are validated by experts. We also analyzed the factors in assessing the ICE consciousness level of adolescents by using the Delphi technique, which, during its analysis, even considers elements that are qualitative or cannot be objectified. Finally we deduced 22 ICE factors given the weight through the AHP of an expert group that consists of experienced teachers and professors in the related area.

• The Transactions of the Korea Information Processing Society
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• v.13 no.9
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• pp.444-452
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• 2024

This study proposes a deep learning architecture optimized for fire detection derived through Layer Importance Evaluation. In order to solve the problem of unnecessary complexity and operation of the existing Convolutional Neural Network (CNN)-based fire detection system, the operation of the inner layer of the model based on the weight and activation values was analyzed through the Layer Importance Evaluation technique, the layer with a high contribution to fire detection was identified, and the model was reconstructed only with the identified layer, and the performance indicators were compared and analyzed with the existing model. After learning the fire data using four transfer learning models: Xception, VGG19, ResNet, and EfficientNetB5, the Layer Importance Evaluation technique was applied to analyze the weight and activation value of each layer, and then a new model was constructed by selecting the top rank layers with the highest contribution. As a result of the study, it was confirmed that the implemented architecture maintains the same performance with parameters that are about 80% lighter than the existing model, and can contribute to increasing the efficiency of fire monitoring equipment by outputting the same performance in accuracy, loss, and confusion matrix indicators compared to conventional complex transfer learning models while having a learning speed of about 3 to 5 times faster.

• Journal of Information Technology Services
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• v.14 no.4
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• pp.61-80
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• 2015

This paper has explored the analyzing and defining the core competencies of IT consultants who carry out IT consulting projects which desperately are needed by companies to survive in business competitions. Many companies have used IT consultants for their IT projects to achieve their project objectives. The problem of this is the results of IT projects carried out by IT consultants from the recognized consulting firms are quite often criticized by many clients who pay high price for hiring IT consultants. The purpose of this paper is that to weight of capability evaluation model for IT consultants. To define the capability model, I conducted the surveys from the IT professionals by the interview and e-mails. The result of this, this paper defines what core skills IT consultants should have to perform well when they carry out the IT projects. There are 6 major skills and 17 sub skills IT consultants should have in succeeding IT projects. 6 major skills are job competence skill, communication skill, business attitude, vocational values, job performance skill, leadership skill and related 17 sub skill are defined. With the capability evaluation model, the managers who are in the charge of incubating and enhancing the capability of IT consultants in the large corporation and also small, medium companies will utilize their companies' strength to get the advantage on the business competition.

• Journal of Software Engineering Society
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• v.26 no.3
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• pp.63-76
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• 2013

We need to measure the quality of each module to assess software quality. Especially, in industry, it is important to measure quality of modules quantitatively in order to improve bad modules and reuse good modules. In this paper, we define moduleness as characteristic that modules should be possessed and propose a method to measure software moduleness quantitatively. A case study conducted in this paper shows the usefulness of the method by measuring and evaluating moduleness of modules based on open source software developed by C, C++ and Java languages.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.217-217
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• 2023

상수도관망은 사용자에게 고품질의 물을 안정적으로 공급하는 것을 목적으로 하며, 이를 평가하기 위한 지표 중 하나로 압력을 활용한다. 최근 스마트 센서의 설치가 확장됨에 따라 기계학습기법을 이용한 실시간 데이터 기반의 분석이 활발하다. 따라서 어디에서 데이터를 수집하느냐에 대한 센서 위치 결정이 중요하다. 본 연구는 eXtreme Gradient Boosting(XGBoost) 모델을 활용하여 대규모 상수도관망 내 센서 위치를 최적화하는 방법론을 제안한다. XGBoost 모델은 여러 의사결정 나무(decision tree)를 활용하는 앙상블(ensemble) 모델이며, 오차에 따른 가중치를 부여하여 성능을 향상시키는 부스팅(boosting) 방식을 이용한다. 이는 분산 및 병렬 처리가 가능해 메모리리소스를 최적으로 사용하고, 학습 속도가 빠르며 결측치에 대한 전처리 과정을 모델 내에 포함하고 있다는 장점이 있다. 모델 구현을 위한 독립 변수 결정을 위해 압력 데이터의 변동성 및 평균압력 값을 고려하여 상수도관망을 대표하는 중요 절점(critical node)를 선정한다. 중요 절점의 압력 값을 예측하는 XGBoost 모델을 구축하고 모델의 성능과 요인 중요도(feature importance) 값을 고려하여 센서의 최적 위치를 선정한다. 이러한 방법론을 기반으로 상수도관망의 특성에 따른 경향성을 파악하기 위해 다양한 형태(예를 들어, 망형, 가지형)와 구성 절점의 수를 변화시키며 결과를 분석한다. 본 연구에서 구축한 XGBoost 모델은 추가적인 전처리 과정을 최소화하며 대규모 관망에 간편하게 사용할 수 있어 추후 다양한 입출력 데이터의 조합을 통해 센서 위치 외에도 상수도관망에서의 성능 최적화에 활용할 수 있을 것으로 기대한다.