• Journal of Digital Contents Society
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• v.19 no.1
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• pp.141-147
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• 2018

This study analyzed the early retired employees who stayed in company no longer than 3 years based on a certain company's personality evaluation result data. The predicted model was analyzed by dividing into two categories; the manufacture group and the R&D group. Independent variables were selected according to the stepwise method. A logistic regression model was selected as a prediction model among various supervised learning methods, and trained through cross-validation to prevent over-fitting or under-fitting. The accuracy of the two groups were confirmed by the confusion matrix. The most influential factor for early retirement in the manufacture group was revealed as "immersion," and for the R&D group appeared as "antisocial." In the past, people concentrated on collecting data by questionnaire and identifying factors that are highly related to the retirement, but this study suggests a sustainable early retirement prediction model in the future by analyzing the tangible outcome of the recruitment process.

• Journal of Science and Technology Studies
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• v.11 no.1
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• pp.31-59
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• 2011

This paper examines university patenting activities as a commercialization of academic research. It shows how a number of university patents increase exponentially and how that can be, especially in terms of role of the state. In the late 1990, the Korean government supports the new vision of 'technological innovation' in establishing a science and technological policy and begins to perceive the importance of university R&D to overcome the economic crisis. Thus, an administrative, financial, and legal systems which support the university R&D are organized and the governmental grants for R&D increase exponentially, especially in promising new technologies(6T). Also, an institution for managing intellectual property rights is established in university. Universities assess professor's performance in terms of patent and license to encourage patenting activities. Thus the number of patents and its productivity increase exponentially. But the increase in patents takes place only to a dozen of universities, this means that a Matthew effect does work.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.143-151
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• 2017

The generalized Hough transform(GHough) can be used effectively for detecting and extracting an arbitrary-shaped 2-D model in an input image. However, the main drawbacks of the GHough are both heavy computation and an excessive storage requirement. Thus, most of the researches so far have focused on reducing both the time and space requirement of the GHough. But it is still not clear how well their improved algorithms will perform under various noise in an input image. Thus, this paper proposes a new framework that can measure the performance of the GHough quantitatively. For this purpose, we view the GHough as a detector in signal detection theory and the ROC curve will be used to specify the performance of the GHough. Finally, we show that we can evaluate the GHough under various noise conditions in an input image.

• Convergence Security Journal
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• v.11 no.5
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• pp.3-12
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• 2011

According to the NIS, damages due to leaking industrial technology are reaching tens of trillion won. The type of damages are classified according to insider leaks, joint research, and hacking, illegal technology leaks and collaborated camouflaged. But 80% of them turned out to be an insider leak about connecting with physical security. The convergence of IT and non IT is accelerating, and the boundaries between all area are crumbling. Information Security Industry has grown continuously focusing Private Information Security which is gradually expanding to Knowledge Information Security Industry, but Information Security Industry hereafter is concentrated with convergence of IT Security Technology and product, convergence of IT Security and Physical Security, and IT convergence Industry Security. In this paper, for preventing company information leaks, logical security and physical security both of them are managed at the same level. In particular, using convergence of physical security systems (access control systems, video security systems, and others) and IT integrated security control system, convergence security monitoring model is proposed that is the prevention of external attacks and insider leaks, blocked and how to maximize the synergy effect of the analysis.

• KSBB Journal
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• v.22 no.6
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• pp.393-400
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• 2007

Analysis of protein interactions/functions in a microarray format has been of great potential in drug discovery, diagnostics, and cell biology, because it is amenable to large-scale and high-throughput biological assays in a rapid and economical way. In recent years, the protein microarray have broaden their utility towards the global analysis of protein interactions on a proteome scale, the functional activity analysis based on protein interactions and post-translational modifications (PTMs), and the discovery of biomarkers through profiling of protein expression between sample and reference pool. As a promising tool for proteomics, the protein microarray technology has advanced outstandingly over the past decade in terms of surface chemistry, acquisition of relevant proteins on a proteomic level, and detection methods. In this article, we briefly describe various techniques for development of protein microarray, and introduce developmental state of protein microarray and its applications.

• Journal of Engineering Education Research
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• v.12 no.3
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• pp.3-12
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• 2009

The recent development of engineering design education has brought enormous influence in many engineering educations. But, most studies in this area have focused only on the system or curriculum development rather than on the effect of the program to the real situation, the transfer. The purpose of this study is to identify the effects of learning and learning transfer in engineering design program at the university level. Transfer is defined as the use of trained knowledge and skill back on the job. The results of the study are as follows. First, learner characteristics and curriculum design had a significant influence on learning effectiveness. Second, learner characteristics had a significant influence an learning transfer. Also, the learning had a significant influence an learning transfer.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.5
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• pp.593-600
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• 2018

Owing to the advancement of Internet and smart devices, access to various media such as social media became easy; thus, a large amount of big data is being produced. Particularly, the companies that provide various Internet services are analyzing the big data by using the MapReduce-based big data analysis techniques to investigate the customer preferences and patterns and strengthen the security. However, with MapReduce, when the big data is analyzed by defining the number of reducer objects generated in the reduce stage as one, the processing rate of big data analysis decreases. Therefore, in this paper, a MapReduce-based split big data analysis method is proposed to improve the log analysis processing rate. The proposed method separates the reducer partitioning stage and the analysis result combining stage and improves the big data processing rate by decreasing the bottleneck phenomenon by generating the number of reducer objects dynamically.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.9
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• pp.82-87
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• 2008

Faster, safer and cheaper mailing of the postal matter is essential for surviving in the competitive market of home-delivery service. In the past, the domestic delivery business has been nu by only a few number of companies. But more and more number of companies including medium size ones are participating in the business, and the competition is getting severe. This paper proposes a method to select the optimal location of mail distribution centers that minimally connect the local mail centers of some major cities in Korea using the Steiner Tree theory, which is about connecting a finite number of points with a minimal length of paths and has been used in the distribution system optimization and optimal routing of the transmission lines of the electric power system. By using Steiner Tree theory in finding the best location of the postal delivery hub, we may expect the reduction of transportation cost and the increase of profit, resulting in acquiring the superior position in the competitive delivery business. It is expected that we may use the Steiner Tree theory in finding the best location of the electric power substation for the nott higher EHV(extreme high voltage) transmission network.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3760-3768
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• 2015

This study was to examine the correlation of Personality and EEG. Personality test and EEG of the 40 team leader of a business enterprise were carried out at the same time and the correlation of test results were analyzed. Personality test was done by Big 5 and brain waves were measured by 2-Channel EEG System at Fp1 and Fp2. The analysis showed a positive correlation between the Big 5 agreeableness and SRQ(Self Regulation Quotient) relaxation status which is related with alpha rhythm, and showed a negative correlation between the Big 5 openness and SRQ concentration status which is related with low_beta rhythm. It means that the personality is closely correlated with human brain cortex activation and can be checked by brainwave analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1081-1089
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• 2013

The purpose of this paper is to suggest the formation plan of green cluster for the enhancement of green industry competitiveness in Korea. For this reason, this paper has the analysis to find out regional competitiveness and effective factors in the green industry. The major findings are as follows. First, the renewable energy industry was competitive at Gyeonggi, Gyeongnam, Chungbuk, Chungnam, Ulsan, Jeonnam, and the carbon reduction industry was competitive at Ulsan, Gyeonggi, Gyeongbuk,, Chungnam, Seoul, Chungbuk, Inchon. Second, the most important factors of the renewable energy industry was factor condition, such as business, labor, research and development; while in the carbon reduction industry was sector of structure and rivalry, such as performance, policy and institution, market share, industry specialization. Third, it showed that the green industry was more competitive at the local area with the better industrial infrastructure. So, we need to focus on the green of existing industry-infrastructure, and the strategy of selection and concentration, for the enhancement of green industry competitiveness in Korea.