• World Technopolis Review
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• v.2 no.2
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• pp.64-80
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• 2013

In "Creating the Technopolis: High Technology Development in Austin Texas," Smilor, Kozmetsky, and Gibson (1988) make the case that in the mid-1980s Austin was becoming a globally competitive high tech region. Indeed over the years and into 2013, Austin has established its reputation as a leading entrepreneurial and technology center and "talent magnet." Delegations from across the US and worldwide visit Austin to better understand how this central Texas city went from being a state government and university town to become a fast growing, globally competitive, technology hotspot leading the state and nation in job creation. Central to the concept of the Triple Helix and Technopolis Frameworks is the importance of university, business, and government cooperation. This paper gives examples of mechanisms, processes, and metrics on how The University of Texas at Austin; regional technology industry; federal, state, and local government policies; and support groups all contributed to growing and sustaining the Austin Technopolis.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.393-396
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• 2005

Due to the fast growing rate of the global container trade, every major port is under the pressure of meeting the projected capacity demand. As a result, alternative solutions have been sought for improving capacity and meeting the growing demand for container storage area and terminal capacity. Moreover, material handling process re-engineering is now a critical issue for logistics and supply chain managers of airline, shipping lines, terminal and warehousing enterprises around the world. Therefore, the purpose of this paper is to develop the 3D simulator for executing performance valuation of port transportation systems. The developed 3D simulator system is to measure the effectiveness of the proposed total system and compare it with existing practices. The performance analysis variables are also defined for these comparisons

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.8 s.179
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• pp.2007-2014
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• 2000

It has been reported that the dynamic stress intensity factor for a propagating crack is increasing or decreasing according to the increasement of the crack propagating velocity. It is confirmed in this study that the increasement or decreasement of stress intensity factor with crack growing velocity is accused by loading condition. When the crack propagates under a constant displacement along upper and lower boundary in finite plate, the dynamic stress intensity factor decreases according to the increasement of the propagating crack velocity. When the crack propagates under a constant stress along upper and lower boundary in finite plate, the dynamic stress intensity factor increases according to the increasement of the propagating crack velocity. The increasement or decreasement of stress intensity factor with crack growing velocity is greater in a fast crack propagation velocity than in a slow one.

• Journal of Sasang Constitutional Medicine
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• v.24 no.2
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• pp.54-60
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• 2012

1. Objectives : The purpose of this study is to analyze for the patent application tendency in SCM(Sasang Constitutional Medicine). Recently, in SCM, many researches are made public through papers. However, in the patent area, the research results are less than the papers. 2. Methods : We collected patents about SCM using wintelips program. We analyzed patents according to the year, author, topic, and etc. 3. Results : We collected 151 patents using search system with wintelips program. After detailed analysis on SCM patent, we got to know that SCM was a growing field. In the collected patents, the patents on diagnosis technology were the majority and system of providing information were the second largest. 4. Conclusions : We think that the SCM field is growing at a fast pace with high activity, and this research should be updated annually.

• Journal of Biomedical Engineering Research
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• v.29 no.5
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• pp.348-354
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• 2008

Segmenting vessels in lower extremity CT images is very difficult because of gray level variation, connection to bones, and their small sizes. Instead of segmenting vessels, we propose an approach that segments bones and subtracts them from the original CT images. The subtracted images can contain not only connected vessel structures but also isolated vessels, which are very difficult to detect using conventional vessel segmentation methods. The proposed method initially grows a 3-dimensional (3D) volume with a seeded region growing (SRG) using an adaptive threshold and then detects junctions and forked branches. The forked branches are classified into either bone branches or vessel branches based on appearance, shape, size change, and moving velocity of the branch. The final volume is re-grown by collecting connected bone branches. The algorithm has produced promising results for segmenting bone structures in several tens of vessel-enhanced CT image data sets of lower extremities.

• Korean Journal of Breeding Science
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• v.43 no.4
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• pp.330-336
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• 2011

A comparative study was conducted on genetic correlation between 12 open-pollinated families (32-year-old) and their one-year-old seedlings for early selection on the fast-growing trait in Pinus densiflora S. et Z.. Those twelve families were divided into three groups such as superior, intermediate, and inferior, on the base of the growth indexes of 32-year-old P. densiflora. The growth performance of the 32-year-old P. densiflora showed significant correlation with the growth traits of their one-year-old seedlings. Dry weights of the seedlings had significant correlation (P < 0.01) with the growth index of the adult plants and its $R^2$ value was 0.597, suggesting that 59.7% of the families could be selected by using dry weights of one-year-old seedlings. Furthermore, the growth rates of seedling heights for superior, intermediate, and inferior groups were 4.568, 3.773, and 3.535, respectively, resulting that seedlings of the superior group grew approximately 1.3-fold faster than those of the inferior group. Therefore, we concluded that two growth traits of one-year-old seedlings dry weight and growth rate were suppose to the early selection factors for the fast-growing trait for P. densiflora.

• Journal of Korean Elementary Science Education
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• v.24 no.4
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• pp.465-475
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• 2005

In this study, to explore the ways of the development of the effective and desirable teaching and learning materials for the elementary science gifted, relevant previous research results were critically examined and integrated. Then a theoretical background was established and specific materials in Life Areas of elementary science was developed based on the science knowledge construction types of 'What', 'How', and 'Why'. The results could be summarized as follows: (1) The types of educational programs for the science gifted were categorized and defined as 'General-Level','Early-Growing, Fast-Growing General Level', and 'Slow-Growing Enrichment, Excellence 'Types. (2) For 5th graders, in the unit of 'Environment and living Organisms', some activities of Enrichment Type for subject on 'Changes of Living Organism with Temperature' were developed following the processes of RDPE (Research-Development-Practice-Evaluation) and their ways of using and assessment were presented. On the basis of these results, several educational implications were discussed for further research and ways of applying to the science gifted education.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.735-748
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• 2014

The fault-tolerance routing problem is one of the most important issues in the application of the Internet of Things, and has been attracting growing research interests. In order to maintain the communication paths from source sensors to the macronodes, we present a hybrid routing scheme and model, in which alternate paths are created once the previous routing is broken. Then, we propose an improved efficient and intelligent fault-tolerance algorithm (IEIFTA) to provide the fast routing recovery and reconstruct the network topology for path failure in the Internet of Things. In the IEIFTA, mutation direction of the particle is determined by multi-swarm evolution equation, and its diversity is improved by the immune mechanism, which can improve the ability of global search and improve the converging rate of the algorithm. The simulation results indicate that the IEIFTA-based fault-tolerance algorithm outperforms the EARQ algorithm and the SPSOA algorithm due to its ability of fast routing recovery mechanism and prolonging the lifetime of the Internet of Things.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.2
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• pp.165-172
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• 2020

There is growing interest in Vision-based video image matching owing to the constantly developing technology of unmanned-based systems. The purpose of this paper is the development of a fast and effective matching technique for the UAV oblique video image. We first extracted initial matching points using NCC (Normalized Cross-Correlation) algorithm and improved the computational efficiency of NCC algorithm using integral image. Furthermore, we developed a triangulation-based outlier removal algorithm to extract more robust matching points among the initial matching points. In order to evaluate the performance of the propose method, our method was quantitatively compared with existing image matching approaches. Experimental results demonstrated that the proposed method can process 2.57 frames per second for video image matching and is up to 4 times faster than existing methods. The proposed method therefore has a good potential for the various video-based applications that requires image matching as a pre-processing.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.691-694
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• 1991

In a discrete parameter estimation system, the standard least squares method shows slow convergence. On the other hand, the weighted least squares method has relatively fast convergence. However, if the input is not sufficiently rich, then gain matrix grows unboundedly. In order to solve these problems, this paper proposes a modified least squares algorithm which prevents gain matrix from growing unboundedly and has fast convergence.