• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3769-3777
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• 2015

Overseas Expansion is essential to expand domestic geospatial industries in a state of saturation. But current overseas expansion method has be limited to expand global market. Inter-industries convergence strategies may be most resonable alternative to expand global market through raising expansion possibility to developing countries with ODA funds and to developed countries with converging global competitive industries. This research analyzed the industry to develop a suitable way fusion between these industries. As a result, easiness of convergence, confidentiality of information, complementarity of poor infrastructure, responsiveness of various demands and sustainability of system are needed to successful convergence on multiple industries. This convergence framework is consists of geospatial convergence common framework based on cloud computing, inter-industries convergence model and institutional supporting system for overseas expansion.

• Fashion & Textile Research Journal
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• v.24 no.3
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• pp.289-302
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• 2022

This study aimed to provide information to establish a service strategy in cross-border e-commerce through an assessment of consumer satisfaction with a cross-border shopping channel and "amazon global store" managed by 11street, a domestic e-commerce corporation. The influence of brand familiarity with amazon as a global retail brand was tested. The mediating roles of the perceived value and risk of both cross-border shopping and amazon global store were investigated; the moderating role of the domestic e-commerce corporation was also studied. An empirical study was conducted on consumers who had experience using the amazon global store managed by 11street. To verify the hypothesis, data from 200 people was analyzed using PROCESS macro 4.0. The results indicated that familiarity with global brands did not have a direct effect on consumer satisfaction; the effect of global retail brand familiarity on consumer satisfaction was mediated only by the perceived value of cross-border shopping and amazon global store, not by the perceived risks. E-commerce corporate credibility showed a moderated mediation effect by mediating functional values of the amazon global store. For consumer groups with a credibility level of medium and above, the interaction effect of brand familiarity and corporate credibility was significant.

• Journal of the Korean Mathematical Society
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• v.47 no.4
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• pp.767-788
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• 2010

In this paper, we propose two limited memory BFGS algorithms with a nonmonotone line search technique for unconstrained optimization problems. The global convergence of the given methods will be established under suitable conditions. Numerical results show that the presented algorithms are more competitive than the normal BFGS method.

• Journal of the Korean Mathematical Society
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• v.47 no.1
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• pp.63-70
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• 2010

In this paper, we develop a nonmonotone spectral memory gradient method for unconstrained optimization, where the spectral stepsize and a class of memory gradient direction are combined efficiently. The global convergence is obtained by using a nonmonotone line search strategy and the numerical tests are also given to show the efficiency of the proposed algorithm.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.222-232
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• 2013

In recent years, 'technological fusion or convergence' has drawn a lot of attention of innovation researchers and governmental policy makers as the driving force of technological innovation and industrial growth. There are, however, few studies on the analysis of longitudinal trends of technological convergence and its comparison between global and national level. In this study, with the citation data of about 18 million articles, we analyzed 1) the growth of representative convergence research areas, 2) the convergence of citing patterns between research fields, and 3) the changing trend of diversity index of all research fields. We conclude that technological convergence in korea shows the relatively strong orientation to the combination of neighboring fields than that of heterogenous fields in comparison to global trend. In particular, the relatively weak activity of cognitive science and the low level of mutual exchange between arts/humanities/social sciences and natural/engineering sciences in Korea are emphasized.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.4
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• pp.325-330
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• 2001

It has been realized that the results of circuit level simulation of neural networks, used for optimization problems, arc much different from those of algorism level simulation. In other words, the outputs converges asymptotically as time elapes, however, the input convergence depends on the value of parasitic conductance connected between input node and ground. Also, this conductance affects system performance. This paper discusses the influence of input conductance on the convergece of the continuous Hopfield neural networks. The convergence has been analyzed for the input and output nodes of neurons. Also, the characteristics of equilibrium points has been analyzed depending on different values of the input conductance.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.1
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• pp.80-86
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• 2002

A neural network structure which is able to perform the operations of analog addition and linear equation is proposed. The network employs Hopfkeld's model of a neuron with the connection elements specified on the basis of an analysis of the energy function. The analog addition network and linear equation network are designed by using Hopfield's A/D converter and linear programming respectively. Simulation using Pspice has shown convergence predominently to the correct global minima.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.251-258
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• 2018

The university bachelor's system is based on autonomy, but due to the rigid academic structure, it is not appropriate to respond to changes in social demand. Recently, universities are pursuing diversification of their bachelor's system. With the introduction of various majors (linkage major, convergence major, autonomic major, and self-design major), efforts are being made to nurture convergence talent based on mutual linkages between major and departments. This study introduces the design and operation process of 'Global Creative Convergence Major' which the four universities of Chungcheong region promoted as a union. In particular, it derives the key elements of each step and presents the operating model and implications based on the main features. Convergence major operation model constitutes educational system (talent award, educational goal, competency factor, curriculum) through linkage between specialization areas of universities. The competency elements contain creative competence, convergence competency, problem solving competency, and global competency.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.9-18
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• 2016

ICT is still lacking relevant studies and efforts even though it needs to be accompanied by character education. Against this backdrop, this study has developed and operated an education program that combines ICT with character education and conducted surveys on its accomplishments. The research findings are as follows. The analysis of theme-based correlations has revealed that individual's character has not significantly affected character for others and global character and that building character for others have made a significant impact on establishing global character with a high level of correlations. Therefore, I have found that a program involving a group of people together such as team-based task has a positive effect on fostering problem-solving talents with global leadership. It is hard to obtain tangible results in character education in a short period of time but I would like to contribute to laying the foundation for cultivating and fostering talents equipped with global leadership while respecting oneself and caring for others in everyday life through these classes. There is a study on convergence of character education and different subjects, left behind of this study.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.75-84
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• 2021

As the weather changes become frequent, weather disasters are increasing, causing more damage to plastic greenhouses. Among the damage caused by various disasters, damage by snow to the greenhouse takes a relatively long time, so if an alarm system is properly prepared, the damage can be reduced. Existing greenhouse design standards and snow warning systems are based on snow depth. However, even in the same depth, the load on the greenhouse varies depending on meteorological characteristics and snow density. Therefore, this study aims to secure the structural safety of greenhouses by developing sensors that can directly measure snow loads, and analysing the warning criteria for load using a stochastic model. Markov chain was applied to estimate the failure probability of various types of greenhouses in various regions, which let users actively cope with heavy snowfall by selecting an appropriate time to respond. Although it was hard to predict the precise snow depth or amounts, it could successfully assess the risk of structures by directly detecting the snow load using the developed sensor.