• Journal of the Korean Data and Information Science Society
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• v.24 no.5
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• pp.999-1011
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• 2013

In this research, we propose a document recommendation method which can find documents that are relatively important to a specific document based on citation information. The key idea is parameter tuning in the Neumann kernal which is an intermediate between a measure of importance (HITS) and of relatedness (co-citation). Our method properly selects the tuning parameter ${\gamma}$ in the Neumann kernal minimizing the prediction error in future citation. We also discuss some comutational issues needed for analysing large citation data. Finally, results of analyzing patents data from the US Patent Office are given.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.1-8
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• 2020

The use of text data in big data analytics has been increased. So, much research on methods for text data analysis has been performed. In this paper, we study Bayesian learning based on conjugate prior for analyzing keyword data extracted from text big data. Bayesian statistics provides learning process for updating parameters when new data is added to existing data. This is an efficient process in big data environment, because a large amount of data is created and added over time in big data platform. In order to show the performance and applicability of proposed method, we carry out a case study by analyzing the keyword data from real patent document data.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.49-65
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• 2006

In this paper, innovation policies for systems reform in China since the middle 80's are surveyed and its impacts on science industry linkage activities are investigated by looking into (1) technology market, (2) S&T outsourcing activities of firms and (3) co-invention patents by applicants in firms, universities and public research institutions. All of these findings suggest that the role of science sector in China's economic development process has become larger, and double skin problem (separation of science and industry sector) in China's innovation system has been gradually solved by a number of policy actions to facilitate science industry linkages.

• Journal of Technology Innovation
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• v.10 no.2
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• pp.69-90
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• 2002

This paper investigates the determinants of the firm's decision to carry out innovative activities in terms of the resource-based view(RBV) in strategic management. Two types of resources are distinguished: tangible(financial autonomy, firm size, capital intensity) and intangible(human resource, entrepreneurship, and commercial resource). R&D intensity and patent statistics are used as proxies for innovative activity. Specific hypotheses about their effect on the probability of a firm carrying out innovative activities are derived and tested on a sample of 337 listed firms in Korean manufacturing industry for the year 1999, using the logistic regression model. Empirical findings suggest that firm size and human resource are the main determinants of firm's internal innovative activities. The results show that the hypotheses concerning financial autonomy, debt ratio, capital intensity, entrepreneurship, and commercial resource are rejected.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.125-129
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• 2016

In this paper, we propose an efficient dynamic workload balancing strategy which improves the performance of high-performance computing system. The key idea of this dynamic workload balancing strategy is to minimize execution time of each job and to maximize the system throughput by effectively using system resource such as CPU, memory. Also, this strategy dynamically allocates job by considering demanded memory size of executing job and workload status of each node. If an overload node occurs due to allocated job, the proposed scheme migrates job, executing in overload nodes, to another free nodes and reduces the waiting time and execution time of job by balancing workload of each node. Through simulation, we show that the proposed dynamic workload balancing strategy based on CPU, memory improves the performance of high-performance computing system compared to previous strategies.

• Management & Information Systems Review
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• v.35 no.2
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• pp.221-254
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• 2016

With increasing interest of health due to population aging, medical device industry is highlighted as a promising industry. However, Korea medical device industry is not enough market competitiveness compared to global company due to a narrow domestic market and a small company structure. In order to retain the national competitiveness, it is necessary that we have to derive a central technology and its trend. This study has predicted a central technology for medical device industrial using patent network analysis. The central technology is defined as a key technology that is connected to most other technologies and that significantly affects them. For the empirical study, we conducted social network analysis using covariance and correlation coefficient between IPC codes extracted from medical device patents, introduced by Jun(2012). A social network is a social structure of diverse items as well as of human beings. In this study, we set each medical device as a node in an SNA and analyze the Degree values between them. Also, Korea health industrial statistics system are utilized for verification of selected central technology. As a result, we found that the central technology is located on the medical device items, which are listed higher the amount of production. The central technology selected through the proposed methodology will provide a inspiration for establishment of R&D policy.

• Communications for Statistical Applications and Methods
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• v.18 no.4
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• pp.507-516
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• 2011

Comparative studies on generalized binomial models (Moon, 2003; Ng, 1989; Paul, 1985; Kupper and Haseman, 1978; Griffiths, 1973) are restrictive in that the models compared are rather limited and MSE of the estimates is the only measure considered for the model adequacy. This paper is aimed to report simulation results which provide possible guidelines for selecting a proper model. We examine Pearson type of goodness-of-fit statistic to its degrees of freedom and AIC for the overall model quality. MSE and Bias of the individual estimates are also considered as the component fit measures. Performance of some models varies widely for a certain range of the parameter space while most of the models are quite competent. Our evaluation shows that the Extended Beta-Binomial model (Prentice, 1986) turns out to be particularly favorable in the point that it provides consistently excellent fit almost all over the values of the intra-class correlation coefficient and the probability of success.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.478-484
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• 2017

This study analyzed statistically the determinants that affect the royalties of knowledge technology transfer, which accounts for a considerable portion of university technology transfer. As knowledge technology transfer certainly includes a move from tacit knowledge from one side to the other side per se, the scope of knowledge technology transfer is unclear and numerical information of technology transfer, such as research fund scale, which is used widely in previous studies, cannot be used in the analysis. Therefore, this study focused on the researcher characteristics and included its explanatory variables in the present study. In addition, it included the technical characteristics of the knowledge transferred and the characteristics of the contracting company. The knowledge maturity calculated from the appointment year and contract date positively affects the technology royalties, but work experience and patent activity of the researcher are not statistically significant. Statistically significant differences in the technology royalty according to the type of technology transfer and the company location were observed, but there was no meaningful change in the technology royalty depending on the technical field and company business scale.

• Journal of Arbitration Studies
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• v.7 no.1
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• pp.411-446
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• 1997

This paper reports the results of an experimental companson of the winning rates in arbitral awards between the Korean Commercial Arbitration Board and the Japan Commercial Arbitration Association, and analyzed the comparative advantages of KCAB in international arbitration compared with ICC. There are so many factors to analyze the level of internationalizaton and competitiveness in the arbitration. From the recent lituratures, arbitration experts reported and debated tremendous elements which is vital to have a competition in the international arbitration market. Arbitration factors such as fairness, reliability, awareness, extension, enforcement, inexpensiveness, closed and expedited proceedings, arbitrators, expert knowledge, service, arbitral award, etc. are very important to appraise the level of the globalization and competitiveness of arbitration organizations Using these factors, I appraised current level of the globalization and competitiveness of the Korean Commercial Arbitration Board, unique arbitration organization in South Korea. Next, we are able to compare the level of fairness using the concept of 'winning rate' All over the world, only several arbitration organizations published and opened their own arbitral awards even In anonymity. The Japanese arbitration institutions published it regularly as well as the Korean When compared with these two institutions' "winning rates". there is similiar tendency in favor of domestic corporations That is to say, the winning rates in domestic arbitration cases are greater than those in international arbitration cases. This embarks an implication of unequality, a part of unfairness, in these two countries' arbitration. Finally, an analysis was conducted between the statistics of KCAB and ICC, especially to the focus on the number of arbitration cases, arbitration tribunals, arbitration places, parties' nationalities. the types of contents, the amount of arbitration, arbitration costs. There are two meanings to keep in mind for advancement of Korean arbitration. One is to establish new strategy specializing in small amount arbitration less than US$200,000. The other is to rearrange the panel of arbitration, especially in increasing field of arbitration cases such as the disputes of license, technology transfer, patent, etc.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.12
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• pp.101-110
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• 2017

According to the Statistics Korea in 2016, 56.9% of companies do not fairly pay compensation for employee invention, despite the increasing proportion of the inventions in corporations. One reason is that the objective calculation method for employee and patent's contribution and the clear standard of fair compensation have not been established. Therefore, this study proposes a new calculation method using DCF (Discounted cash flow) and AHP (Analytical hiearchy process) methodology to calculate the fair amount of employee invention compensation, and verified it through real case examples. As a result, 2.3 times higher amount of compensation was calculated than the previous approach. This study is meaningful that it provided objective compensation criteria that could more protect the inventor in the situation which the clear criteria for the calculation of fair compensation are not established. This methodology is expected to be applicable for SMEs as employee invention compensation.