• The Journal of Sustainable Design and Educational Environment Research
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• v.17 no.3
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• pp.9-16
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• 2018

This research is intended to propose future research directions by identifying differences between Korea and China's public facilities at the time of introduction and presenting improvement measures by comparing the criteria for green building certification. The study focuses on the comparison of Korea's G-SEED 2016 and China's ESGB 2014. For data related to green building certification in Korea, refer to the Construction Technology Research Institute Green Building Certification Criteria 2016 v1.2 Guide for New Housing. A study on the Green Building Certification System in China referred to the Green Building Assessment Standards. Comparisons were made between G-SEED 2016 general building certification review criteria and ESGB 2014 public facility certification criteria, and certification methods, essential items and specialties for each area.

• Convergence Security Journal
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• v.19 no.1
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• pp.111-120
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• 2019

As cyber-attacks become more intelligent and sophisticated, the importance of Security Operations Center(SOC) has increased and the number of SOC has been increasing. In order to cope with cyber threats, institutions and organizations use a variety of cyber security standards to create business procedures. However, SOC often need to be improved in accordance with the SOC environment because they collaborate with managed security service specialists rather than their own personnel. The NIST cyber security framework, information security management system, and managed security service companies were compared and analyzed. As a result, it was found that the NIST CSF is a framework that is easy to apply to managed security service, The content was judged to be insufficient. Therefore, in this study, NIST CSF was used as a reference model to derive the management items required for SOC environment, and the necessity, importance and ease of each item were confirmed through an Delphi technique and an improved cyber security framework was proposed.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.182-194
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• 2023

Traffic impact assessment plays a crucial role in resolving traffic issues that may arise during the implementation of urban and transportation projects. However, reported results diverge, presumably because the items reviewed differ. In this study, we analyze traffic improvement measures approved for traffic impact assessment, identify key items, and present items that should be included in assessments. Specifically, TF-IDF and N-gram analysis and text mining were performed with focus on urban development projects approved in Gyeonggi Province. The results obtained show that keywords associated with newly established transportation infrastructure, such as roads and intersections, were essential assessment items, followed by the locations of entrances and exits and pedestrian connectivity. We recommend that considerations of the items presented in this study be incorporated into future traffic impact assessment guidelines and standards to improve the consistency and objectivity of the assessment process.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.20 no.3
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• pp.219-232
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• 2009

This paper is intended to comparatively analyzed the KDC/NDC/DDC classification system for the field of civil engineering, the research field classification system of National Research Foundation of Korea, and the science and technology research field classification system of Korea Science and Engineering Foundation. And based on the analysis, it tried to propose the ways of improving the KDC classification system for the civil engineering field. As a result of the analysis, this paper has found that the KDC 5th-edition for the civil engineering field needed some corrections. That is, the classification items that reflect the trend of academic development should be added, the classification terminology of the basic theories of civil engineering should be properly developed, segmented topics should be added, any errors in classification codes and Korean/English descriptions should be corrected, and the omission of the KDC relative index of classification items should be solved. This paper proposed the ways of improving those problems.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.457-465
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• 2011

The annual R&D investment in Korea increased by an average of 12.2percent during the last 5 years. Therefore, prevention of duplicate projects being performed became an important factor in promoting the efficiency of R&D investment and the originality of R&D projects. On measuring the similarity of projects, the measurement model used to estimate the accuracy of the similarity is crucial. In this paper, we propose an advanced measurement model on checking the similarity of R&D projects for promoting the efficiency of R&D investment. The proposed model is made up of the following steps for the model measurement, sampling and analyzing. During the sampling step, we append the abstract of R&D reports on the search engine based on document vector. We then measure the similarity on projects to use research title network which is consists of the compound keyword and the weight of items on during the analysis. The proposed method improved the accuracy for measuring the similarity of projects by an average of 0.19 over the existing search engine and by 9.25 over the simple keyword search on R&D projects. On searching the similarity with the appending conditions and high sampling, it improved the accuracy of measuring the similarity of R&D projects.

• Journal of agriculture & life science
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• v.45 no.6
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• pp.291-301
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• 2011

This study is based on the diagnosis process on agricultural production cost survey, which is one of the most representative public statistics of agricultural sector in Korea. The diagnosis were performed by employing the quantitative and qualitative approaches with the official guideline provided by the Ministry of Statistics. The various results were produced from the aspects of exactness, relevance, timeliness, accessibility, and comparability, which were based on the qualitative approaches including focus group interview (FGI) with professional users. The results from statistical portfolio analysis implies that the first priority to improve the statistics is given to 'satisfaction level corresponding to user cost' and 'offering sufficient explanation'. The comprehensive results, discussed with the administrative office, are summarized into the following two major points. First, classification of the detailed items should be improved to avoid users' confusion. However, the re-classification need to be professionally reviewed with the relevant administrative office such as Rural Development Administration, producing similar statistics. Second, the KOSIS system is found to be constantly upgraded to improve the users' convenience.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.4
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• pp.12-25
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• 2016

The purpose of this study is providing an evaluation criteria for appropriateness of bicycle riding path considering trip purpose based on cyclist's response of importance and satisfaction. The survey presents a quantified criteria of evaluating appropriateness of the bicycle path by investigating difference of impotance and satisfaction between two purposes among 5 selected influence factors about bicycle lane and bicycle parking facility, and in case of commuting purpose, information of destination is additionally considered. All the influence factors are analyzed by Analytical Hierarchy Process (AHP) which yields importance. For the factors which have a huge difference between two purposes, evaluation criteria using a GIS Data of respondent's path and satisfaction of each factors is developed, and other factors are made it by reviewing literature. The importance analyzed by AHP and evaluation criteria can provide a path based LOS for cyclist, and this information can be improved through user's response from app or search engine in the future. and by considering individual's evaluation, it can provide individually specified information.

• Journal of Korean Society of Forest Science
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• v.104 no.3
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• pp.488-494
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• 2015

This study aims to develop and apply a standard management self-diagnostic table for forestry households to better manage their astringent persimmon production. The diagnostic table consisted of 3 categories (general status of a forestry household, management performance indicators, level of management) and 18 subcategories. The current management status across 241 households was surveyed among 10 chief astringent persimmon producing municipalities. Scores from the 18 subcategories were aggregated for a total score to evaluate and compare different levels of management. The respondents scored an overall average of 57.4, 62% of which were placed between 40 and 60. Upon close examination Chungcheongnam-do scored a very low score in the 'management system-tree height' subcategory with respect to the average score potentially because of the large population of aged trees in the region. The national average in the 'production skills-time of fruit load adjustment' subcategory was only 1.96 because unlike sweet persimmons astringent persimmons adjust their own load by inducing physiological fruit drop. The national average in the 'management/sales skills-material purchase' subcategory was 2.01; over 60% of the respondents indicated a preference for independent selection and purchase for most materials. The households preferring a group purchase tended to utilize the regional co-op.

• Journal of Nutrition and Health
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• v.50 no.4
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• pp.383-390
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• 2017

Purpose: This study investigated the importance and performance of food/nutrition labeling. The aim was to determine how important students consider food nutritional labeling, utilization of nutrition labels in daily life, and consumer satisfaction of current nutritional labeling. Methods: This study was conducted using a primary survey of students at one high school in Seoul. A total of 300 of 382 questionnaires were analyzed. Results: Regarding difference analysis of the importance-performance of food/nutrition labeling, importance showed higher scores than performance in all 10 attributes. According to the results of Importance and Performance Analysis (IPA), 'health, weight control and maintenance, proper dietary habits, and personal satisfaction' displayed both high importance and performance in the first quadrant. Importance of two factors (health and nutritional factor and effects of media and education) of the 10 attributes positively influenced overall satisfaction in the multiple regression analysis. Conclusion: To develop healthier food choices, it is necessary to educate adolescents about food/nutrition labeling and improve the food/nutrition labeling system.

• Journal of Korea Water Resources Association
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• v.57 no.7
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• pp.461-470
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• 2024

This study aimed to predict total phosphorus (T-P) to address early eutrophication caused by nutrient influx from various human activities. Traditional T-P monitoring systems are labor-intensive and time-consuming, leading to a global trend of using direct reading sensors. Therefore, this study utilized water quality parameters obtained from direct reading sensors in a two-stage T-P prediction process. The importance of turbidity (Tur) in T-P prediction was examined, and an analysis was conducted to determine if T-P prediction is possible using only direct reading sensor parameters by adding automatic water quality analyzer parameters. The study found that T-P concentrations were higher in the mid-lower reaches of the Nakdong River basin compared to the upper reaches. Pearson correlation analysis identified water quality parameters highly correlated with T-P at each site, which were then used in multiple linear regression analysis to predict T-P. The analysis was conducted with and without the inclusion of Tur, and the performance of models incorporating automatic water quality analyzer parameters was compared with those using only direct reading sensor parameters. The results confirmed the significance of Tur in T-P prediction, suggesting that it can be used as a foundational element in the development of measures to prevent eutrophication.