• Journal of computational fluids engineering
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• v.6 no.2
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• pp.47-55
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• 2001

In recent years cluster systems using off-the-shelf processors and networks components have been increasing popular. Since actual performance of a cluster system varies significantly for different architectures, representative in-house codes from major application fields were executed to evaluate the actual performance of systems with different combination of CPU, network, and network topology. As an example of practical CFD(Computational Fluid Dynamics) simulations, the flow past an Onera-M6 wing and the flow past an infinite wing were simulated on clusters of Linux and several other hardware environments.

• Journal of Korea Technology Innovation Society
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• v.1 no.3
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• pp.299-312
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• 1998

This paper explores the possibility of improving R&D management system through researchers' satisfaction analysis. The relationship between job satisfaction and performance has traditionally been one of the engaging topics in organization psychology. However, the research results of the past showed the relatively low level of correlation between satisfaction and performance at the individual level. In contrast to these past research results, recent research results on this relationship at the organizational level revealed the higher correlation between these two factors, The present study extends this 'satisfaction and performance' hypothesis to the development and improvement of R&D management system. That is, we used the results of researchers' satisfaction analysis to devise appropriate criteria for the design and implementation of more effective R&D management systems. This paper seeks to show that we can make fruitful use of researchers' satisfaction analysis in order to choose a more effective one among alternative R&D management systems.

• Management & Information Systems Review
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• v.35 no.4
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• pp.79-98
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• 2016

A large number of Chinese enterprises have grown up and become increasingly competitive. Chinese firms have ventured abroad to search for new sources of growth. Overseas mergers and acquisitions of Chinese companies has been developed rapidly through extensive opening policy and active support system by government. The main purpose of this study is to identify the factors that affect the outcomes of overseas mergers and acquisitions made by Chinese firms in recent years, particularly, financial performance of the acquiring firms. This study aims to analyze systematically financial performance and its determinants of Chinese overseas M&A in recent years. This study chooses a sample of 167 overseas mergers and acquisitions in the manufacturing industry in China and the relevant data were collected during the period 2006 to 2012. The data were analyzed by using a multiple regression analysis to identify determinants of corporate performance. We showed that cultural distance, past performance, state ownership, and interaction between cultural distance and past performance. Findings of this study can provide useful guidance to outward Chinese M&A in the future.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.97-104
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• 2017

Location prediction has been successfully utilized to provide high quality of location-based services to customers in many applications. In its usual form, the conventional type of location prediction is to predict future locations based on user's past movement history. However, as location prediction needs are expanded into much complicated cases, it becomes necessary quite frequently to make inference on the locations that target user visited in the past. Typical cases include the identification of locations that infectious disease carriers may have visited before, and crime suspects may have dropped by on a certain day at a specific time-band. Therefore, primary goal of this study is to predict locations that users visited in the past. Information used for this purpose include user's demographic information and movement histories. Data mining classifiers such as Bayesian network, neural network, support vector machine, decision tree were adopted to analyze 6868 contextual dataset and compare classifiers' performance. Results show that general Bayesian network is the most robust classifier.

• 한국전산유체공학회:학술대회논문집
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• 2001.05a
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• pp.161-169
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• 2001

At the end of 1999, the TeraCluster Project in the KISTI Supercomputing Center was initiated to explore the possibility of PC clusters as a scientific computing platform to replace the Cray T3E system in KISTI by 2002. Since actual performance of a computing system varies significantly for different architectures, representative in-house codes from major application fields were executed to evaluate the actual performance of systems with different combination of CPU, network and network topology. As an example of practical CFD(Computational Fluid Dynamics) simulations, the flow past the Onera-M6 wing and the flow past a infinite wing were simulated on a clusters of Linux and several other hardware environments.

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.116-123
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• 2018

The purpose of this study is to analyze the trend of the prize money and the performance factors, based on the data of 1,000 pro golf players provided by KLPGA(Korea Ladies Professional Golf Association) for the past 10 years from 2008 to 2017. First, in terms of the prize money, it increased a lot if we compare the data from 2008 and from 2017. However, it is still disproportionally favorable to the top players and is extremely disadvantageous to the middle-low players. Therefore, it is necessary to considerately care middle-low players. Second, in terms of performance factors, the players' skill has been improved steadily based on all of the factors considered: the scoring average, average putting, the birdie average, par save, par break, and recovery for the past 10 years from 2008 to 2017. Despite the fact that both players' performance and income have increased, it is prominent that the inequality between the players in terms of prize money becomes severe, which should be mitigated by external systematic support to maintain the current level of world-class players of Korea.

• Management & Information Systems Review
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• v.29 no.1
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• pp.49-78
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• 2010

Traditionally, self-efficacy, burnout and engagement are defined as work related states of mind, and formally speaking, students are not employees. But, we assume that from a psychological perspective, student core activities can be considered work. Therefore, based on SCT(social cognitive theory), we examine the mediating role of self-efficacy in the prediction of student burnout and engagement, and also the mediation of burnout and engagement between self-efficacy and performance(GPA). There is no research to date wether there would be mediating role of these variables between past success and performance. These effects were analysed in the context of mediating role of the variables in a university in a sample of 438 students. This study utilized a convenience sample drawn from various major scholar area. Results of structural equation modeling analyses were consist with a full mediation model in which academic past success predicts self-efficacy, which in turn, predicts student burnout and engagement. Also our proposed model showed that burnout and engagement are partial or full mediating variables between self-efficacy and performance. Our study's findings provide evidence that engagement fully accounted for the relationship between self-efficacy and performance, and burnout partially explained the relationships. These findings aligns with the general theorizing supported by JD-R model and SCT(social cognitive theory). More specifically, it builds on the JD-R literature as it tests one of the proposed mechanisms in the relationship between job resources and work engagement. Implications of study are discussed, together with limitations and suggestions for future research.

• Journal of IKEEE
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• v.26 no.1
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• pp.19-26
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• 2022

In this paper, we propose an algorithm that applies a different variable lambda to each loss value to solve the performance degradation caused by domain differences in LwF, and show that the retention of past knowledge is improved. The lambda value could be variably adjusted so that the current task to be learned could be well learned, by the variable lambda method of this paper. As a result of learning by this paper, the data accuracy improved by an average of 5% regardless of the scenario. And in particular, the performance of maintaining past knowledge, the goal of this paper, was improved by up to 70%, and the accuracy of past learning data increased by an average of 22% compared to the existing LwF.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.16 no.28
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• pp.181-186
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• 1993

The objective of this paper is to present a method for synthetic performance and quality evaluation of dial up network modem in users place. In the past, universally recognized criteria have not been available to model switched network modem performance. Reasonable assurance of modem performance on the public switched telephone network by standardized test channel which is suggested by ELA(Electronic Industries Association). These tests of modem from a variety manufacturers more reflective of actual performance on the network.

• 한국전산유체공학회:학술대회논문집
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• 2001.10a
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• pp.174-181
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• 2001

The Gird is a communication service that collaborates dispersed high performance computers, large-scale databases and modern equipments so that those can be shared and worked together. In this paper. CFD research based on National Grid project is discussed. To validate the Grid technology, the flow past ONERA M6 wing and the flow past infinite wing are simulated on the National Grid testbed.