• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.672-677
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• 2016

This study examined the relative industry competence of Kyunggi regional area. The LQ index was applied to estimate the competence of 11 culture contents. In the case of the amount of revenue, cartoon, characters, knowledge information, and publishing showed a relative high competence over LQ 1.0. Regarding the number of companies, cartoon, music, game, character, and knowledge information showed LQ of more than 1.0. The criteria of the number of employees indicated publishing, cartoon, game, character industry to be significant. The common LQ index result of 3 criteria suggested cartoon and character industry to be influential. This indicates that the flow among knowledge, information and person in a regional industry cluster are most important for promoting industry core competence.

• International Commerce and Information Review
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• v.13 no.1
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• pp.179-196
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• 2011

This study aims to measure the relative importance of trade insurance using AHP developed by Thomas Saaty of Pennsylvania in early 1970s. Moreover, it provides help in the development of a comprehensive strategy of trade insurance. To obtain priority of trade insurance in its functions, this study discovered significance and relative importance of two evaluation standards and four individual evaluation items. Of the two evaluation standards, importance of credit exposure was 63%. It was discovered that it was more important than political means (37%). Of the four individual evaluation items, importance of banking supplementation was 60%. It was more important than credit investigation of overseas traders (40%). Importance of trade promotion policy was 69%, which was more important than removal of anxiety in trade (31%). As a result of comparing priorities of the f tire evaluation items, priority of banking supplementation was 38% followed by trade promotion policy means (26%), credit investigation of overseas traders (25%) and removal of anxiety in trade (12%).

• Korean Journal of Community Nutrition
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• v.9 no.6
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• pp.695-705
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• 2004

The risks of the metabolic syndrome (MS) is known to be related to the dietary behavior. The objective of this study is to evaluate the association between the relative risks of MS and the dietary habit and to provide the ideal dietary habits for prevention of chronic disease of the middle-aged. Healthy subjects aged 40-64 years (male n=122, female n=173) were recruited throughout Seoul area. MS was defined according to NCEP-ATP III criteria except central obesity, and Asia-Pacific Area criteria for central obesity (2000) was adapted. Subjects were stratified into 3 groups according to the number of total risk factors:'MS group' was defined as the subjects who have three or more risk factors, 'Risk group' was defined as ones to have one or two risk factors, and 'Healthy group' defined as ones with no risk factor. In this study, 'Health group' comprised of $40.7\%$, the percentage of 'Risk group' was $49.0\%$, and the 'MS group' was $9.5\%$ of the total subjects. The MS incidence was associated with low education (p<0.001), low economic status (p<0.05), and low self-assessed health recognition (p<0.05). The risk of MS increased with adverse life styles such as cigarette smoking (p<0.05), irregular meal time (p<0.05), skipping lunch (p<0.05), low interests in balanced diet (p<0.05), and higher salt intake (p<0.01). Healthy group self-evaluated nutritional knowledge more highly (p<0.05) and scored higher nutritional knowledge (p<0.001). However, there was no difference in overall nutritional behavior among the three groups, which implies that nutritional education method should be developed for the subjects to practice their teaming efficiently.

• Journal of Biomedical Engineering Research
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• v.32 no.2
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• pp.134-143
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• 2011

The selection of meaningful clinical tests and its reference values from a high-dimensional clinical data with imbalanced class distribution, one class is represented by a large number of examples while the other is represented by only a few, is an important issue for differential diagnosis between similar diseases, but difficult. For this purpose, this study introduces methods based on the concepts of both discernibility matrix and function in rough set theory (RST) with two discretization approaches, equal width and frequency discretization. Here these discretization approaches are used to define the reference values for clinical tests, and the discernibility matrix and function are used to extract a subset of significant clinical tests from the translated nominal attribute values. To show its applicability in the differential diagnosis problem, we have applied it to extract the significant clinical tests and its reference values between normal (N = 351) and abnormal group (N = 101) with either cholecystitis or cholelithiasis disease. In addition, we investigated not only the selected significant clinical tests and the variations of its reference values, but also the average predictive accuracies on four evaluation criteria, i.e., accuracy, sensitivity, specificity, and geometric mean, during l0-fold cross validation. From the experimental results, we confirmed that two discretization approaches based rough set approximation methods with relative frequency give better results than those with absolute frequency, in the evaluation criteria (i.e., average geometric mean). Thus it shows that the prediction model using relative frequency can be used effectively in classification and prediction problems of the clinical data with imbalanced class distribution.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.149-159
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• 2019

Six sigma is an innovative management movement which provides improved business process by adapting the paradigm and the trend of market and customers. Suitable selection of six sigma project could highly reduce the costs, improve the quality, and enhance the customer satisfaction. There are existing studies on the selection of Six Sigma projects, but few studies have been conducted to select the correct project under an incomplete information environment. The purpose of this study is to propose the application of integrated MCDM techniques for correct project selection under incomplete information. The project selection process of six sigma involves four steps as follows: 1) determination of project selection criteria 2) calculation of relative importance of team member's competencies 3) assessment with project preference scale 4) finalization of ranking the projects. This study proposes the combination methods by applying group fuzzy Analytical Hierarchy Process (AHP), an easy defuzzified number of Trapezoidal Fuzzy Number (TrFN) and Grey Relational Analysis (GRA). Both of the weight of project selection criteria and the relative importance of team member's competencies can be evaluated by group fuzzy AHP. Project preferences are assessed by easy defuzzified scale of TrFN in case of incomplete information.)

• Journal of the Korea Institute of Information Security & Cryptology
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• v.17 no.4
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• pp.61-74
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• 2007

In Common Criteria evaluation scheme, sponsor and evaluator should estimate evaluation cost and duration of IT security system evaluation in contracting the evaluation project. In this paper, We analyzed study result that achieve at 2003 and 2005, and utilized part of study result. And we empirically estimate relative evaluation effort ratios among evaluation assurance levels($EAL1{\sim}EAL7$) in CC v2.3 and CC v3.1. Also, we estimate the ratios from 'developer action elements', adjusted 'content and presentation of evidence elements', and 'evaluator action elements 'for each assurance component. We, especially, use ratio of amount of effort for each 'evaluator action elements', that was obtained from real evaluators in KISA in 2003. Our result will useful for TOE sponsor as well as evaluation project manager who should estimate evaluation cost and duration for a specific EAL and type of TOE, in a new CC v3.1 based evaluation schem.

• Atmosphere
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• v.33 no.1
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• pp.21-32
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• 2023

Characteristics of downslope windstorm (DW) has been examined mainly based on 1-min average wind and the other meteorological conditions in the Yeongdong region for 2000~2020. First, a classification procedure for the downslope windstorm is proposed using surface wind speed (greater than 99 percentile), 1-hour longevity of strong wind (SW), westerly wind direction, low humidity (less than 20 percentile), and leeside warming. The number of DW days satisfying the proposed criteria is 221 (2.9% of total days and 47.5% of SW days) while the number of SW days is 465 (6.1% of total days) for 2000~2020. The occurrences of both SW and DW shows distinctive annual variation with its peak in April. In addition, mean wind speed of DW days is 8.2 m s^-1 with its duration of 2 hr 30 min and relative humidity of 28% at Gangneung. An episode (7 May 2021) was selected by applying the proposed criteria to SW days of 2021. The sounding shows that the layer of wind speed greater than 25 m s^-1 was lowered down to 925 hPa at Gangneung (leeside) relative to 850 hPa at Hoengseong (Wonju), in the afternoon along with significant warming and drying. Froude numbers of Wonju and Gangneung for the DW events were increased 4 and 5 times greater than those of normal days, respectively. This kind of DW long-term statistics in the leeside of the mountains is thought to build a foundation of further understanding DW mechanism.

• Animal Bioscience
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• v.37 no.5
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• pp.817-825
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• 2024

Objective: The aim of this study was to identify suitable polynomial regression for modeling the average growth trajectory and to estimate the relative development of the rib eye area, scrotal circumference, and morphometric measurements of Guzerat young bulls. Methods: A total of 45 recently weaned males, aged 325.8±28.0 days and weighing 219.9±38.05 kg, were evaluated. The animals were kept on Brachiaria brizantha pastures, received multiple supplementations, and were managed under uniform conditions for 294 days, with evaluations conducted every 56 days. The average growth trajectory was adjusted using ordinary polynomials, Legendre polynomials, and quadratic B-splines. The coefficient of determination, mean absolute deviation, mean square error, the value of the restricted likelihood function, Akaike information criteria, and consistent Akaike information criteria were applied to assess the quality of the fits. For the study of allometric growth, the power model was applied. Results: Ordinary polynomial and Legendre polynomial models of the fifth order provided the best fits. B-splines yielded the best fits in comparing models with the same number of parameters. Based on the restricted likelihood function, Akaike's information criterion, and consistent Akaike's information criterion, the B-splines model with six intervals described the growth trajectory of evaluated animals more smoothly and consistently. In the study of allometric growth, the evaluated traits exhibited negative heterogeneity (b<1) relative to the animals' weight (p<0.01), indicating the precocity of Guzerat cattle for weight gain on pasture. Conclusion: Complementary studies of growth trajectory and allometry can help identify when an animal's weight changes and thus assist in decision-making regarding management practices, nutritional requirements, and genetic selection strategies to optimize growth and animal performance.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.143-150
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• 2004

Nowaday, The tendency of complexity and extension of construction fields increase the need for efficient works managements like a construction management. Consequently, by the introduction of Decision-Making Theories, researches for improving construction field's efficiencies are actively performed. Fuzzy Analytical Hierarchy Process method is invented, so that describes a decision maker's ambiguous linguistic judgment with fuzzy numbers. but most of researches on Fuzzy-AHP use symmetric triangular fuzzy function for estimating each evaluation item with the consequence that exact judgments are impossible. those limits are caused by the point that employed fuzzy ranking methods can not support dissymmetric fuzzy numbers. In this research, we aims to overcome this problem with R.P.R(Relative Preference Ratio) method and suggest improved Fuzzy-AHP method which can use dissymmetric fuzzy triangular numbers.

• Genomics & Informatics
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• v.20 no.3
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• pp.35.1-35.9
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• 2022

Microsatellites or simple sequence repeats are motifs of 1 to 6 nucleotides in length present in both coding and non-coding regions of DNA. These are found widely distributed in the whole genome of prokaryotes, eukaryotes, bacteria, and viruses and are used as molecular markers in studying DNA variations, gene regulation, genetic diversity and evolutionary studies, etc. However, in vitro microsatellite identification proves to be time-consuming and expensive. Therefore, the present research has been focused on using an in-house built java pipeline to identify, analyse, design primers and find related statistics of perfect and compound microsatellites in the seven complete genome sequences of coronavirus, including the genome of coronavirus disease 2019, where the host is Homo sapiens. Based on search criteria among seven genomic sequences, it was revealed that the total number of perfect simple sequence repeats (SSRs) found to be in the range of 76 to 118 and compound SSRs from 01 to10, thus reflecting the low conversion of perfect simple sequence to compound repeats. Furthermore, the incidence of SSRs was insignificant but positively correlated with genome size (R² = 0.45, p > 0.05), with simple sequence repeats relative abundance (R² = 0.18, p > 0.05) and relative density (R² = 0.23, p > 0.05). Dinucleotide repeats were the most abundant in the coding region of the genome, followed by tri, mono, and tetra. This comparative study would help us understand the evolutionary relationship, genetic diversity, and hypervariability in minimal time and cost.