• The Pure and Applied Mathematics
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• v.24 no.4
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• pp.201-209
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• 2017

We prove convergence properties of the global solutions to the cooperative cross-diffusion system with the intra-specific cooperative pressures dominated by the inter-specific competition pressures and the inter-specific cooperative pressures dominated by intra-specific competition pressures. Under these conditions the $W^1_2-bound$ and the time global existence of the solution for the cooperative cross-diffusion system have been obtained in [10]. In the present paper the convergence of the global solution is established for the cooperative cross-diffusion system with large diffusion coefficients.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.2
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• pp.89-95
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• 2002

Global routing is to assign each net to routing regions to accomplish the required interconnections. The most popular algorithms for global routing inlcude maze routing algorithm, line-probe algorithm, shortest path based algorithm, and Steiner tree based algorithm. In this paper we propose weighted network heuristic(WNH) as a minimal Steiner tree search method in a routing graph and a genetic algorithm based on WNH for the global routing. We compare the genetic algorithm(GA) with simulated annealing(SA) by analyzing the results of each implementation.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.61-74
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• 2021

Agriculture is most closely related to weather, and the government pursues stable food production by weather research. However, abnormal weather conditions have occurred frequently around the world in recent years, and stable food production has been threatened. Among them, heavy snow in winter tends to increase in frequency and size, which causes serious damage to greenhouses. Therefore, it is imperative to build a system reflecting various demands to reduce the damage to agricultural facilities caused by heavy snow. A business model can realize this as a way of commercialization, however, no suitable model has been presented to date. Therefore, this study aims to design a representative business model that can establish a safety system by distributing a greenhouse disaster prevention warning system for heavy snow to farms.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.173-180
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• 2014

Life competencies most required for university students, who receive a higher education and prepare to go into society, are job competencies. People with a variety of competencies are needed in the job market in a globally-oriented 21st-Century knowledge-based society. Now that raising competent people who have a high level of job competency is regarded as one of university functions, a way to improve job competencies through university education needs to be investigated. This study proposes a convergence education system to improve job competencies. The convergence education system includes five type of convergence: convergence in major fields of study, convergence in education courses, convergence in education space, convergence in education methods, and convergence in education period. This education system is expected to improve a variety of job competencies including cognitive competencies, non-cognitive competencies, and global competencies.

• Journal of applied mathematics & informatics
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• v.19 no.1_2
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• pp.165-177
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• 2005

In this paper, an adaptive trust region method based on the conic model for unconstrained optimization problems is proposed and analyzed. We establish the global and super linear convergence results of the method. Numerical tests are reported that confirm the efficiency of the new method.

• Journal of applied mathematics & informatics
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• v.30 no.5_6
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• pp.971-980
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• 2012

In this paper, a method associating with one new form of nonmonotone linesearch technique is proposed, which can be regarded as a generalization of the Perry-Shanno memoryless quasi-Newton type method. Under some reasonable conditions, the global convergence of the proposed method is proven. Numerical tests show its efficiency.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.108-116
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• 2019

This study is a descriptive survey study intended to analyze the relationship between multicultural acceptability, empathy, and global citizenship of nursing students and identify the factors influencing global citizenship. The data was collected targeting 187 nursing students at universities located in the cities of B, U, and S. The collected data was analyzed using t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression analysis. The results were as follows: global citizenship of nursing students was positively correlated with multicultural acceptability and empathy. Factors influencing the level of global citizenship were empathy, multicultural acceptability, which together explained 40.0% of the total variance in global citizenship. Consequently, this study raises the need for the development and application of steady practical programs and various learning methods for the enhancement of global citizenship, which is required in the fields of nursing education where global competence is considered to be important.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.6
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• pp.35-41
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• 2022

Heavy snow damage can be prevented in advance with an appropriate security system. To develop the security system, we developed a model that predicts snow depth after a few hours when the snow depth is observed, and utilized it to calculate a failure probability with various types of greenhouses and observed snow depth data. We compared the Markov chain model and Bayesian long short-term memory models with varying input data. Markov chain model showed the worst performance, and the models that used only past snow depth data outperformed the models that used other weather data with snow depth (temperature, humidity, wind speed). Also, the models that utilized 1-hour past data outperformed the models that utilized 3-hour data and 6-hour data. Finally, the Bayesian LSTM model that uses 1-hour snow depth data was selected to predict snow depth. We compared the selected model and the shifting method, which uses present data as future data without prediction, and the model outperformed the shifting method when predicting data after 11-24 hours.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.2
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• pp.1-13
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• 2022

Agrivoltaic facility is the composite system that the solar panel is installed above the farmland, and it enables crop and electricity production simultaneously. Solar panels of the agrivoltaic facilities can block and reduce the amount of solar irradiance arriving at the farmland, but it can help the crop growth by preventing excessive solar irradiance. Therefore, to clarify how the agrivoltaic facilities affect the crop growth, precise solar irradiance distribution under the solar panel should be modeled. In this study, PAR (photosynthetically active radiation), radiation from 400 to 700 nm, which crops usually use to grow, was extracted from the total irradiance and its distribution model under various conditions was developed. Monthly irradiance distributions varied because the elevation of the sun was changed over time, which made the position changed that the local maximum and minimum irradiance appear. The higher panel height did not cause any significant difference in the amount of irradiance reaching below the solar panel, but its distribution became more uniform. Furthermore, the panel angles with the most irradiance arriving below the solar panel were different by month, but its difference was up to 2%p between the irradiance with 30° angle which is usually recommended in Korea. Finally, the interval between panels was adjusted; when the ratio of the length of the panel to the empty space was 1:2, the irradiance of 0.719 times was reached compared to when there was no panel, 0.579 times for 1:1 and 0.442 times for 2:1.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.36
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• pp.195-262
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• 2007

This paper attempts to assess the Basel Committee's bank supervisory standards and capital adequacy rules, and thereby rethink whether global convergence in banking regulation is desirable. To that end, it seeks to address the impetus for the creation of the Basel Committee, and explore driving forces behind the internationalization of bank regulatory and supervisory standards. Following the historical and theoretical analysis of the internationalization of bank regulatory standards, the movement toward global standards in banking is reviewed. More importantly, this paper seeks to explore the origins of the Basel Accord on bank capital adequacy. To do so, it largely relies on current theories on the process of negotiating the capital adequacy standards in the areas of political science and international political economy. At this point, this study takes a position as a break against the force of international market failure logic that has enjoyed an exceptionally positive reception among economists, political scientists, and legal experts. Nonetheless, it does not intend to freeze the international coordination and cooperation of banking regulation. Given the understanding of the politics behind the creation of the Basel Accord, this paper evaluates the Basel Accord of 1988 and the new capital adequacy framework(Basel II), and then moves beyond the assessment of the capital adequacy standards In doing so, this study draws lessons from Basel in search of a just world order in the global finance.