POSTER ABSTRACTS 74. Bipartite Graph Based Dynamic Spectrum Allocation For Wireless Mesh Networks Yang, Jianjun*, Zongming Fei; Department of Computer Science, University of Kentucky We propose a new bipartite-graph based model and design an channel allocation algorithm for dynamic spectrum allocation for wireless mesh networks. It considers both bandwidth utilization and starvation problems. Our solution is based on using augmenting path to find a matching in the bipartitegraph and can minimize starvation and then maximize the bandwidth utilization. The simulations demonstrate that our algorithm can reduce the starvation ratio and improve the bandwidth utilization, compared with previous conflict-graph based algorithms. Keywords: spectrum allocation, channel assignment, multimedia streaming 75. The Relationship Between The Matrix Features And The Performance Of Preconditioned Iterative Solvers Han, Dianwei*, Jun Zhang; Computer Science Department, University of Kentucky Many important scientific and engineering applications require the use of linear solvers for solving large-scale linear equations. Generally there are two classes of methods available to solve the sparse linear systems. The first class is the direct solution methods, represented by the Gauss elimination method. The second class is the iterative solution methods, of which the preconditioned Krylov subspace methods are considered to be the most effective ones currently available in this field. The sparsity structure and the numerical value distribution which are considered as features of the sparse matrices may have important effect on the iterative solution of linear systems. We first extract the matrix features, and then preconditioned iterative methods are used to the linear system. Our experiments show that a few features that may affect, positively or negatively, the solving status of a sparse matrix with the level-based reconditioners Keywords: Iterative methods, Preconditioner, features of matrices MATERIALS SCIENCE AND ADVANCED MANUFACTURING 76. Laser Spectroscopic Characterization Of Transition Metal-Aromatic Compounds
Yang, Dong Sheng* B. R. Sohnlein, Y. Lei, J. S. Lee, X. Wang, D. Hensley, and D. –S. Yang*; Department of Chemistry, University of Kentucky Metal-aromatic compounds are widely used as catalysts in organic synthesis. A catalyst is a substance that initiates a desirable chemical reaction or speeds up a reaction that would otherwise be too slow to be economical. However, current catalyst development is still carried out by trial and error, and rational design of new catalysts with predictable properties is a long-term goal requiring both basic and applied research. This KSEF-sponsored project focused on the fundamental aspects of the catalyst development and aimed on a quantitative understanding of how metals activate organic molecules and convert them into valuable products. We studied short-lived metal-aromatic complexes that are potentially active agents or key intermediates in chemical synthesis and catalysis. We developed a novel photoelectron instrument that provides spectral resolution of two orders of magnitude better than conventional photoelectron methods. There is only one such kind of the instrument in Kentucky and are very few around the world. This work has opened up a new area for high-resolution photoelectron spectroscopic applications in metal systems and enhanced Kentucky’s emerging international reputation in this field. With the preliminary results from this grant, we obtained additional hundreds of thousands research dollars from the National Science Foundation and the American Chemical Society, published numerous papers in the highest-rated journals for our research areas, and gave many presentations at national and international meetings and research institutions. With this grant, we trained several postdoctoral, graduate and undergraduate students in modern physical chemistry and chemical physics. Keywords: Laser spectroscopy, zero electron kinetic energy, and metal-aromatic complexes 77. Thermal Transport Induced By ElectronBeam Heating At Nanoscale Menguc, M. Pinar*, Basil T. Wong; Department of Mechanical Engineering, University of Kentucky We present the numerical modeling effort in simulating electron-beam heating of a material. Electron-beam transport equation is solved using the Monte Carlo (MC) method where the trajectories of electrons are determined following the elastic and inelastic scattering probabilities. The penetrating electrons originated from an electron beam transfer 45