• Journal of Digital Convergence
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• v.11 no.12
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• pp.569-576
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• 2013

This study aims to evaluate the influence of oral contraceptive(OC) on periodontal disease. Research data was used the results derived from the Fourth Korean National Health and Nutrition Examination Survey(KNHANES), and 1,101 Korean women, aged 19 to 50 years with non-pregnant and premenopausal, were selected. The chi-square test and logistic regression analysis were performed to identify the relationship between OC use and periodontal disease, according to factors of demographic and socioeconomic, oral health behavior, OC use period, and periodontal status. In the results, OC use was statistically related with age, marital status and smoking. No significant differences were found in between the gingival condition and current OC use. The prevalence of periodontal disease increased with age, but did not have significant correlations with period of OC usage, smoking and oral health behavior. Final analysis was indicated that OC use is not associated with periodontal disease, regardless of adjustment for confounding variables.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.147-155
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• 2015

The objective of this research is to empirically analyze the impact of contents update or patch service in online game, being provided after delivery to correct faults and to improve performance of the game. Regression analysis is applied to the data set, where the weekly increase rate of playing times is dependant variable, and the time(week) and two types of contents updates are introduced as independent variables. Statistical results show that the time(week) negatively influences the weekly increase rate of playing times. But the impact of new contents generation and contents adjustment on the weekly increase rate of playing times is not statistically significant, implying that once online game is published, contents update has no significant impact on the playing times. Implications for game designs are provided as a conclusion.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.55
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• pp.33-62
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• 2012

Arbitration is an essential methods of settlement for disputes in international commercial transaction. UNCITRAL Arbitration Rules have been in force after adoption in 1976. Over the 30 years, UNCITRAL Arbitration rules have been modeled for domestic and international arbitration institutes for setting and revision on their arbitration rules. UNCITRAL Committee has published the revised Arbitration Rules which entered into force after 15 August 2010. Therefore new version of arbitration rules are substituted for the previous version of UNCITRAL Arbitration Rules 1976 since its enforcement. The revised arbitration rules of UNCITRAL have been changed in various items for convergence with new trends and modern practices on arbitration including information communication and technology. The revision of arbitration rules focused on resolving problems in practice and codifying best practice to enhance the efficiency of arbitration conducted under the rules. There are considerable in a number of important respects on the removing the restricted in writing requirement for information technology, adapting the multiparties arbitration, joinder arbitration, truncated arbitral tribunal and adjustment in terms and condition and construction simply. Also a number of provisions have been refined, varied and clarified with new articles included. Conclusively the new revised arbitration rules fill a number of gaps which became apparent in the UNCITRAL Arbitration Rules 1976 to bring into line with new modern practices of international arbitration rules in international commercial disputes. This paper focus on the study the problems and inspired points on significant revised provisions and its considerable points in arbitration environment. This paper is approaching to the comparisons of UNCITRAL revised Arbitration Rules 2010 with previous Arbitration Rules 1976 of UNCITRAL and International Arbitration Rules 2011 of KCAB.

• Journal of Animal Science and Technology
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• v.61 no.6
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• pp.324-332
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• 2019

This study aimed to identify the causality between climatic and soil variables affecting the yield of Italian ryegrass (Lolium multiflorum Lam., IRG) in the paddy field by constructing the pathways via structure equation model. The IRG data (n = 133) was collected from the National Agricultural Cooperative Federation (1992-2013). The climatic variables were accumulated temperature, growing days and precipitation amount from the weather information system of Korea Meteorological Administration, and soil variables were effective soil depth, slope, gravel content and drainage class as soil physical properties from the soil information system of Rural Development Administration. In general, IRG cultivation by the rice-rotation system in paddy field is important and unique in East Asia because it contributes to the increase of income by cultivating IRG during agricultural off-season. As a result, the seasonal effects of accumulated temperature and growing days of autumn and next spring were evident, furthermore, autumnal temperature and spring precipitation indirectly influenced yield through spring temperature. The effect of autumnal temperature, spring temperature, spring precipitation and soil physics factors were 0.62, 0.36, 0.23, and 0.16 in order (p < 0.05). Even though the relationship between soil physical and precipitation was not significant, it does not mean there was no association. Because the soil physical variables were categorical, their effects were weakly reflected even with scale adjustment by jitter transformation. We expected that this study could contribute to increasing IRG yield by presenting the causality of climatic and soil factors and could be extended to various factors.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.44 no.11
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• pp.989-996
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• 2016

This paper intends to develop the rotor track and balance (RTB) algorithm using the nonlinear RTB models and a real-coded hybrid genetic algorithm. The RTB response data computed using the trim solutions with variation of the adjustment parameters have been used to build nonlinear RTB models based on the quadratic interpolation functions. Nonlinear programming problems to minimize the track deviations and the airframe vibration responses have been formulated to find optimum settings of balance weights, trim-tab deflections, and pitch-link lengths of each blade. The results are efficiently resolved using the real-coded genetic algorithm hybridized with the particle swarm optimization techniques for convergence acceleration. The nonlinear RTB models and the optimized RTB parameters have been compared with those computed using the linear models to validate the proposed techniques. The results showed that the nonlinear models lead to more accurate models and reduced RTB responses than the linear counterpart.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.18
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• pp.8221-8226
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• 2016

Background: Misreporting self-reported family history may lead to biased estimations. We used Bayesian methods to adjust for exposure misclassification. Materials and Methods: A hospital-based case-control study was used to identify breast cancer risk factors among Iranian women. Three models were jointly considered; an outcome, an exposure and a measurement model. All models were fitted using Bayesian methods, run to achieve convergence. Results: Bayesian analysis in the model without misclassification showed that the odds ratios for the relationship between breast cancer and a family history in different prior distributions were 2.98 (95% CRI: 2.41, 3.71), 2.57 (95% CRI: 1.95, 3.41) and 2.53 (95% CRI: 1.93, 3.31). In the misclassified model, adjusted odds ratios for misclassification in the different situations were 2.64 (95% CRI: 2.02, 3.47), 2.64 (95% CRI: 2.02, 3.46), 1.60 (95% CRI: 1.07, 2.38), 1.61 (95% CRI: 1.07, 2.40), 1.57 (95% CRI: 1.05, 2.35), 1.58 (95% CRI: 1.06, 2.34) and 1.57 (95% CRI: 1.06, 2.33). Conclusions: It was concluded that self-reported family history may be misclassified in different scenarios. Due to the lack of validation studies in Iran, more attention to this matter in future research is suggested, especially while obtaining results in accordance with sensitivity and specificity values.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.113-119
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• 2018

The problem of poor learning has been a subject that has been constantly raised in the educational field since the mid 20th century. Therefore, this study classified the components of self - regulated learning into cognitive - control, motive - control, and behavior - control strategies, and examined the effects of self - regulated learning on internal value, self - efficacy, curiosity, and self - confidence. The study was conducted on university students who participated in the program for the study of depression in A university in Changwon city. The results showed that self - regulated learning factors had a positive effect on learning motivation. Second, the learning adjustment factors have a positive effect on self - efficacy. Finally, learning control factors have a positive effect on curiosity and self - confidence. Through this study, we confirmed that a comprehensive guidance system considering interaction is needed because various factors act integrally in the learning process. As a concrete method, it is imperative to develop a learning counseling program that can enhance the motivation level by referring to cognitive, synchronous, and behavioral factors.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.279-286
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• 2020

On February 4, 2020, the Personal Information Protection Act ("Privacy Act") was amended to facilitate the convergence and utilization of data, a key resource of the Fourth Industrial Revolution, and to support the development of the data industry. As the scope of the law applies to telecommunications operators, financial operators, and personal information processing providers, the scope of related dispute settlement is expected to increase. Therefore, this paper first introduces the role and function of the Personal Information Dispute Committee and the institutional standards for personal information dispute mediation, and researches the roles and issues that the Personal Information Dispute Mediation Committee should play in accordance with the revision of the Data 3 Law. In this study, For efficient operation of personal information dispute mediation, expert deliberation by field, new adjustment criteria for new industrial technologies, way to secure business continuity between the Personal Information Dispute Committee and the Personal Information Committee, Secure the link between the mediation decision and courts, and Suggested the strengthening of the operational standards for collective dispute mediation.

• Journal of Korea Multimedia Society
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• v.9 no.3
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• pp.369-376
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• 2006

In this paper, we propose an improved fuzzy RBF network which dynamically adjusts the rate of learning by applying the Delta-bar-Delta algorithm in order to improve the learning performance of fuzzy RBF networks. The proposed learning algorithm, which combines the fuzzy C-Means algorithm with the generalized delta learning method, improves its learning performance by dynamically adjusting the rate of learning. The adjustment of the learning rate is achieved by self-generating middle-layered nodes and by applying the Delta-bar-Delta algorithm to the generalized delta learning method for the learning of middle and output layers. To evaluate the learning performance of the proposed RBF network, we used 40 identifiers extracted from a container image as the training data. Our experimental results show that the proposed method consumes less training time and improves the convergence of teaming, compared to the conventional ART2-based RBF network and fuzzy RBF network.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.100-107
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• 2018

This study investigated the effect of corporate international diversification on cost stickiness. A cost behavior that indicates a lower rate of cost reduction when the volume of sales decreases than the rate of cost increase when the volume of sales is increased is called cost stickiness. This cost behavior is caused by decisions made by considering the adjusting costs of the manager, and for corporate international diversification, the decision making on the adjustment cost of the manager has been reduced by the offsetting accruals hypothesis. From the empirical results, we observed that the cost stickiness of international diversified companies decreases. It is expected to contribute to the capital market and academia by identifying whether corporate international diversification can have a significant impact on management decision making related to costs.