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Seoul, South Korea

Betz F.,SUNY Korea | Betz F.,Portland State University
Journal of Sustainable Development | Year: 2015

Two important problems in models for a sustainable economy are (1) how to connect environmental models with societal models and (2) how to model the impact of societal changes upon an environment. For the first challenge, the Leontief economic model has been transformed from a vector to a tensor equation, as a model for integrating regional descriptions of an economy and its local environment. However, this is a static model of a steady-state (stasis) economy during a given period; and here we address the second challenge of modeling the impact of societal change upon an economy and its environment. We apply the modeling of societal change in the historical case of Australia's Mining Rent Tax of 2012-2014. © 2015 by the authors. Source

Galdi G.P.,University of Pittsburgh | Mazzone G.,University of Pittsburgh | Mohebbi M.,SUNY Korea
Advances in Mathematical Fluid Mechanics - Dedicated to Giovanni Paolo Galdi on the Occasion of His 60th Birthday | Year: 2016

In this paper we investigate the existence of time-periodic motions of a system constituted by a rigid body with an interior cavity completely filled with a viscous liquid, and subject to a time-periodic external torque acting on the rigid body. We then show that the system of equations governing the motion of the coupled system liquid-filled rigid body, has at least one corresponding time-periodic weak solution. Furthermore if the size of the torque is below a certain constant, the weak solution is in fact strong. © Springer Basel 2016. Source

Kim S.,Pohang University of Science and Technology | Sael L.,SUNY Korea | Yu H.,Pohang University of Science and Technology
BMC Medical Informatics and Decision Making | Year: 2013

Understanding functions of proteins is one of the most important challenges in many studies of biological processes. The function of a protein can be predicted by analyzing the functions of structurally similar proteins, thus finding structurally similar proteins accurately and efficiently from a large set of proteins is crucial. A protein structure can be represented as a vector by 3D-Zernike Descriptor (3DZD) which compactly represents the surface shape of the protein tertiary structure. This simplified representation accelerates the searching process. However, computing the similarity of two protein structures is still computationally expensive, thus it is hard to efficiently process many simultaneous requests of structurally similar protein search. This paper proposes indexing techniques which substantially reduce the search time to find structurally similar proteins. In particular, we first exploit two indexing techniques, i.e., iDistance and iKernel, on the 3DZDs. After that, we extend the techniques to further improve the search speed for protein structures. The extended indexing techniques build and utilize an reduced index constructed from the first few attributes of 3DZDs of protein structures. To retrieve top-k similar structures, top-10 × k similar structures are first found using the reduced index, and top-k structures are selected among them. We also modify the indexing techniques to support θ-based nearest neighbor search, which returns data points less than θ to the query point. The results show that both iDistance and iKernel significantly enhance the searching speed. In top-k nearest neighbor search, the searching time is reduced 69.6%, 77%, 77.4% and 87.9%, respectively using iDistance, iKernel, the extended iDistance, and the extended iKernel. In θ-based nearest neighbor serach, the searching time is reduced 80%, 81%, 95.6% and 95.6% using iDistance, iKernel, the extended iDistance, and the extended iKernel, respectively. © 2013 Kim et al.; licensee BioMed Central Ltd. Source

Kim S.,Korea Advanced Institute of Science and Technology | Tai Y.-W.,Korea Advanced Institute of Science and Technology | Kim S.J.,SUNY Korea | Brown M.S.,National University of Singapore | Matsushita Y.,Microsoft
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition | Year: 2012

This paper investigates the role that nonlinear camera response functions (CRFs) have on image deblurring. In particular, we show how nonlinear CRFs can cause a spatially invariant blur to behave as a spatially varying blur. This can result in noticeable ringing artifacts when deconvolution is applied even with a known point spread function (PSF). In addition, we show how CRFs can adversely affect PSF estimation algorithms in the case of blind deconvolution. To help counter these effects, we introduce two methods to estimate the CRF directly from one or more blurred images when the PSF is known or unknown. While not as accurate as conventional CRF estimation algorithms based on multiple exposures or calibration patterns, our approach is still quite effective in improving deblurring results in situations where the CRF is unknown. © 2012 IEEE. Source

Oh D.-S.,Chungnam National University | Phillips F.,Yuan Ze University | Phillips F.,State University of New York at Stony Brook | Park S.,SUNY Korea | Lee E.,Technopolis Development Center
Technovation | Year: 2016

Publications pushing the "innovation ecosystem" meme have added valuable dimensions to the economic development discussion. The phrase has captured the imagination of policy makers and has motivated public initiatives of substantial magnitude. This paper reviews the concept of innovation ecosystems as it is set forth in the academic and trade literature, and asks, "What is gained from adding 'eco-' to our treatment of national and regional innovation systems?". The answer is, "Very little, and the risks outweigh the benefits." Innovation ecosystem is not yet a clearly defined concept, much less a theory. Moreover, the idea carries pitfalls, notably its over-emphasis on market forces, and its flawed analogy to natural ecosystems.The prospect that the phrase "innovation ecosystem" is here to stay, in investment and economic development circles, implies a research gap, and indicates caution in using the phrase in rigorous research. The paper describes the gap, indicates directions for bridging it, and offers recommendations for prudent use of "ecosystem" terminology. © 2016 Elsevier Ltd. Source

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