• Journal of the Korean Society for information Management
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• v.29 no.3
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• pp.99-122
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• 2012

This study analyzed scientists information behaviors when they engage in solving specific research problems in various situations throughout the entire scientific R&D lifecycle process. In-depth interviews with a total of 24 scientists were conducted in their research laboratories, the scientists' everyday workplace and the contexts of scientific research. The theoretical and methodological frameworks employed for this study were Dervin's Sense-making, Savolainen's Everyday Life Information Seeking, and Engestrom's Activity Theory. The findings of this study informed context-specific research and information behaviors of the scientists in the 14 sub stages of the five-stage of R&D lifecycle. Specifically, the study revealed the research objectives and related information behaviors (e.g., information needs, information seeking, information sources and channels, information barriers, etc.) to achieve the objectives at each sub-stage. The study results provided essential information to re-design the information services and strategies that accommodate the scientific R&D lifecycle.

• Journal of the Korean Society for information Management
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• v.14 no.1
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• pp.223-254
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• 1997

The goal of this paper is mainly to review and summarize the theory of cataloging. This artical reviews the theortical background of cataloging. First, the objectives and function of the library catalog was analyzed. Second, According to this methodology was researched the Cutter's theory of 'convenience of the public' on the cataloging, Osborn's 'the Crisis of Cataloging' (legalist theory of cataloging, perfectionism theory bibliographic theory and pragmatic theory) and Lubetzky's the theory of 'Cataloging Rules and Principles' and the last Houten' s 'In the Iron Age of Cataloging' theory.

• Archives of design research
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• v.15 no.1
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• pp.49-58
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• 2002

Advances in computer technology have made it possible for educators to design and develop their own multimedia instructional materials using visuals such as animation. Although, it generally believed that the Mew attribute of computer animation facilitates student's foaming, there is still relatively little research regarding the way in which student benefit from multimedia instruction using 3-D animation. The purpose of this research was to examine and determine whether the use of 3-D computer generated images is an effective teaching device for hoping children to understand color theory, and enhancing the tractional methods. In this study, a 3-D computer generated presentation was creative and it demonstrated the mixing of primary color to obtain secondary color. Three research hypotheses were developed in this research. The first hypothesis stated that 3-D computer generated presentation will be an effective device for teaching color theory. The second was that the presentation will be eye-catching and it will hold the children's attention. The third was presentation would enhance the children's memory of color. Results of this study show that visualization technology and the use of 3-D graphics ends can be employed in the field of art education to increases a chi1d's understanding of color theory. Also, it was proved that teaching children through 3-D graphic is an highly effective teaching tool. Thus this research is a oontribution to both children's au education and the relatively new field of computer animation.

• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2001.11a
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• pp.152-156
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• 2001

본 논문에서는 단일 DGS의 전송특성을 ABCD 파라미터로 모델링하여 연속한 N개의 DGS 분석 및 설계를 용이 하게 하였다. 모델링된 식의 검증을 위해 연속된 N개의 주기적 DGS에서 전송특성을 이론, 회로 시뮬레이션, EM 시뮬레이션을 비교하였다. 또한 응용 예로서, 능동안테나의 불요 고조파가 방사하는 것을 저지하기 위한 DGS를 설계 및 시뮬레이션하여 제시된 방법론의 타당성을 검증하였다.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.213-217
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• 2018

The relationship between R&D investment and subsequent change has been mostly confirmed under additional influencing factors, with the form of innovation investments. The research assumes that a firm adjusts its R&D spending in accordance to performance feedback. It is argued that an increased fluctuation of a firm's R&D expense is related to a reduced performance. This hypothesis is tested on SME in World class 300 Projet by SMBA. Using panel data models, instability measured by SD is related to performance levels measured by ROA, ROE & PM. Results support the proposed relationship between R&D expense instability and the subsequent performance. Although a causal link cannot be clearly established, the results indicate that firms with a lower performance have higher R&D investment fluctuations, possibly being more responsive to performance feedback.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.45 no.12
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• pp.1013-1020
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• 2017

In this study, the failure prediction of composite laminates under flexural loading is investigated. A FEA(finite element analysis) using 2D strain-based interactive failure theory. A pregressive failure analysis was applied to FEA for stiffness degradation with failure mode each layer. A three-point bending test based on the ASTM D790 are performed for cross-ply $[0/90]_8$ and quasi-isotropic $[0/{\pm}45/90]_{2s}$ laminated composites. The accuracy of the applied failure theory is verified with the experimental results and other failure criteria such as maximum strain, maximum stress and Tsai-Wu theories.

• Journal of Technology Innovation
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• v.10 no.2
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• pp.91-105
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• 2002

This paper extends the empirical analysis on R&D based growth model so that the nonstationary panel unit root testing methods can be used to distinguish the exogenous growth model and R&D based growth model for the 1981-1999 period with fourteen OECD economies including Korea. Our results show that first, using U.S. and Group mean as benchmarking, the stochastic R&D productivity convergence to benchmarking is not supported in our data set. Second, the empirical results for stochastic nonconvergence to the U.S. or group mean also are robustness to panel unit root methods. We, therefore, find strong support for the implications for R&D based growth model.

• Korean Journal of Remote Sensing
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• v.21 no.2
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• pp.145-162
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• 2005

To improve the accuracy of land-cover discrimination in SAB data classification, this paper presents a methodology that includes feature extraction and fusion steps with multi-temporal SAR data. Three features including average backscattering coefficient, temporal variability and coherence are extracted from multi-temporal SAR data by considering the temporal behaviors of backscattering characteristics of SAR sensors. Dempster-Shafer theory of evidence(D-S theory) and fuzzy logic are applied to effectively integrate those features. Especially, a feature-driven heuristic approach to mass function assignment in D-S theory is applied and various fuzzy combination operators are tested in fuzzy logic fusion. As experimental results on a multi-temporal Radarsat-1 data set, the features considered in this paper could provide complementary information and thus effectively discriminated water, paddy and urban areas. However, it was difficult to discriminate forest and dry fields. From an information fusion methodological point of view, the D-S theory and fuzzy combination operators except the fuzzy Max and Algebraic Sum operators showed similar land-cover accuracy statistics.

• International Area Studies Review
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• v.20 no.1
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• pp.147-165
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• 2016

We empirically examine the validity of second generation endogenous growth theory suing 21 OECD countries' panel data(1981~2011). Due to non-stationarity in all variables, we test the cointegrated relationships strongly supporting the semi-endogenous growth model. In the estimation of total factor productivity growth function, the growth of domestic and foreign R&D investment levels statistically significantly affect total factor productivity growth. R&D intensity, however, has significant impacts on the total factor productivity growth only in a few models, and international technology gap also has positive impacts on GDP growth. Thus the semi-endogenous growth model is relatively supported while fully endogenous growth model is weakly and occasionally supported in OECD countries. The policy implication of supporting the semi-endogenous growth model is that the sustaining growth requires increasing R&D expenditures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4148-4156
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• 2014

The aim of this paper was to suggest a national R&D performance measurement index from a new perspective. Government is trying to transit the R&D paradigm from 'catch-up' into 'lead- forward'. The problem of the existing performance evaluation was first identified, and the performance evaluation method of domestic & overseas research center & government was then reviewed. In particular, this study first referred to the creation & innovation indices, and focused on the national innovation and R&D ecosystem. Next, D'Aveni's Hypercompetition theory was applied to suggest a new performance measurement index, and AHP analysis interviewed from the domestic R&D performance evaluation experts was performed. This study contributes to the new national R&D performance index for the creative economy.