• Journal of Korean Library and Information Science Society
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• v.27
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• pp.137-169
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• 1997

The Annual Editions of SCI(Science Citation Index) CD-ROM over the last five years ('92-'96) were studied to investigate: 1) the status of domestic research activity in science & technology, in comparison with other countries, 2) research activity by universities and research institutes in Korea. Because the selection of journals in SCI is based on the criteria of citation sources, the journals registered in SCI are recognized as the Core Journals in each area of research. Therefore, the analysis result of SCI data is a quite reliable measurement to evaluate the research activities in science and technology. In 1996 a total of 6, 227 papers were listed on SCI, ranking the 21st up from the 29th in 1992. Over the last five years, the number had grown rapidly at an average of 29% per annum. This fast growth is expected to continue in the future.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.04a
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• pp.122-125
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• 2000

The Analytic Hierarchy Process (AHP), a decision making model, which is more applicable than other methods to R&D project selection, particularly when it is applied to intangibles. The objective of this paper is to develop an extended model of the AHP which Is linked to Cross Impact Analysis to assist in the ranking of a large number of technological alternatives. In this study, we developed a priority setting algorithm which considers the cross-impact of the future technology alternatives and thus developed an integrated cross-impact hierarchical decision-making model, which sets the priority by considering technological forecasting and technology dependency

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.7
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• pp.2480-2495
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• 2014

This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.490-490
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• 2000

Parallel genetic algorithms are particularly easy to implement and promise substantial gains in performance. Its basic idea is to keep several subpopulations that are processed by genetic algorithms. Furthermore, a migration mechanism produces a chromosome exchange between subpopulation. In this paper, a new selection method based on non-linear fitness assignment presented. The use of proposed ranking selection permits higher local exploitation search, where the diversity of populations is structure. Experimental results show that the relation between local-global search balance and the probabilities of reaching a desired solution.

• Journal of Broadcast Engineering
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• v.10 no.2
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• pp.149-155
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• 2005

We have proposed an objective evaluation method using ESNR as the measure of approximation by the visual model, which coincides with MOS, a subjective evaluation method. For two-value images, we have used five kinds of modulation methods: 1) ordered dither, 2) least mean error, 3) pulse density low division, 4) simple two-value, and 5) random dither methods. The purpose of this paper is to investigate the validity of ESNR, by comparing the proposed method together with the existing representative methods such as PSNR and WSNR, with the subjective method MOS. The results of a series of experiments show that the ranking by MOS coincides with ESNR, though does not coincides with PSNR and WSNR.

• Ocean Systems Engineering
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• v.5 no.1
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• pp.41-54
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• 2015

This study presents the development of predictive models for uplift capacity of suction caisson in clay using an artificial intelligence technique, extreme learning machine (ELM). Other artificial intelligence models like artificial neural network (ANN), support vector machine (SVM), relevance vector machine (RVM) models are also developed to compare the ELM model with above models and available numerical models in terms of different statistical criteria. A ranking system is presented to evaluate present models in identifying the 'best' model. Sensitivity analyses are made to identify important inputs contributing to the developed models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3371-3380
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• 2012

This paper finds the selecting evaluation index of technical development supporting business, applied to determine its validity. Measuring the new evaluation index for selection against the existing select evaluation index, it shows which index has accurately estimated the ranking of the companies with good performance. Using the BSC and AHP method, this study developed the select evaluation index of technology development supporting business.

• Smart Structures and Systems
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• v.29 no.6
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• pp.791-797
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• 2022

A complex system is comprised of numerous entities containing physical components, devices and hardware, events or phenomena, and subsystems, there are intricate interactions among these entities. To reasonably identify the critical fault propagation paths, a system fault propagation model is essential based on the system failure mechanism and failure data. To establish an appropriate mathematical model for the complex system, these entities and their complicated relations must be represented objectively and reasonably based on the structure. Taking a command and control system as an example, this paper proposes a hierarchical fault propagation analysis method, analyzes and determines the edge betweenness ranking model and the importance degree of each sub-system.

• World Technopolis Review
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• v.2 no.2
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• pp.96-108
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• 2013

Egypt has been known as the light house of science and innovation not only in the Middle East but to the world across ages. Recently, there have been many ups and downs that positioned Egypt in a lower rank that it actually deserves according to its long history. This review entitles the current condition of science, technology and innovation in Egypt and the consequent setting up of best practices of science and technology parks (STPs) experiences. Egypt's science, technology and innovation (STI) system is highly centralized and dominated by the public sector, with R&D happening mostly in state-run universities and research centers supervised by the Ministry of Higher Education and Ministry of Scientific Research. R&D indicators state that Egypt ranking is 40th worldwide for the published articles (around 10,000 papers in 2011), while the numbers of issued patents (350 local and 50 international in 2011) is still far beyond expected. STPs in Egypt are addressed in this review by three examples; smart village in Cairo, Investment zone in Borg El-Arab City and Technology Valley in Ismailia. The three models are discussed in details and a suggested road map for developing more STPs is estimated.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.4
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• pp.159-171
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• 2010

The purposes of this study is to find middle school student's application of Clothing & Textiles Section in Technology-Home Economics. The samples are 298 middles school students in Kangneung. For the statistics analysis of this study, frequency, mean, Cronbach's ${\alpha}$ coefficient, one way ANOVA, t-test were calculated. The results of this study are summarized follows; 1) Middle school student's application of Clothing & Textiles Section is relatively low. Middle school student's need of Clothing & Textiles Section and recognition of Technology-Home Economic are relatively high. But Middle school student's preference of Technology-Home Economic is relatively low. 2) Variables that affect middle school student's recognition of Technology-Home Economic are number of sibling and sibling ranking. 3) Variables that affect middle school student's need of Clothing & Textiles Section are recognition and preference of Technology-Home Economic. 4) Variables that affect middle school student's application of Clothing & Textiles Section are recognition and preference of Technology-Home Economic and need of Clothing & Textiles Section.