Lamar University, often referred to as Lamar or LU, is a comprehensive coeducational public research university located in Beaumont, Texas, United States. Lamar confers bachelors, masters and doctoral degrees and is classified as a Doctoral Research University by the Carnegie Commission on Higher Education. Lamar has been a member of The Texas State University System since 1995 and was previously the flagship institution of the now defunct Lamar University System. Wikipedia.
Zhu W.,Lamar University
Journal of Global Optimization | Year: 2011
This paper presents a novel parallel Differential Evolution (DE) algorithm with local search for solving function optimization problems, utilizing graphics hardware acceleration. As a population-based meta-heuristic, DE was originally designed for continuous function optimization. Graphics Processing Units (GPU) computing is an emerging desktop parallel computing technology that is becoming popular with its wide availability in many personal computers. In this paper, the classical DE was adapted in the data-parallel CPU-GPU heterogeneous computing plat form featuring Single Instruction-Multiple Thread (SIMT) execution. The global optimal search of the DE was enhanced by the classical local Pattern Search (PS)method. The hybrid DE-PS method was implemented in the GP Uenvironment and compared to a similar implementation in the common computing environment with a Central Processing Unit (CPU). Computational results indicate that the GPU-accelerated SIMT-DE-PS method is orders of magnitude faster than the corresponding CPU implementation. The main contribution of this paper is the parallelization analysis and performance analysis of the hybrid DE-PS with GPU acceleration. The research results demonstrate a promising direction for high speed optimization with desktop parallel computing on a personal computer. © Springer Science+Business Media, LLC. 2010.
Hwang S.,Lamar University
Automation in Construction | Year: 2012
Equipment collisions on the jobsites are normally accompanied by significant damages, including fatalities, monetary losses, and delays. This paper presents a method for preventing equipment collision by helping equipment operators improve their situational awareness while operating equipment on site. Noting the need for real-time spatial data, the method incorporates ultra-wideband technology that has been selected through systematic evaluation as the technology that is best suited for the present study. Applying the collision-prevention approaches created in this study, a framework comprised of real-time data collection platform, a visualization module, and a decision module is created. Its technical feasibility for real-time monitoring of equipment operations and assessment of the possibility of collision is examined through lab experiments with a prototype system developed based on the framework. The results of this study prove that integrating precision tracking technology and real-time data analysis can produce tools that will enhance equipment safety. © 2011 Elsevier B.V. All rights reserved.
de la Madrid R.,Lamar University
Nuclear Physics A | Year: 2015
We introduce the differential and the total decay widths of a resonant (Gamow) state decaying into a continuum of stable states. When the resonance has several decay modes, we introduce the corresponding partial decay widths and branching fractions. In the approximation that the resonance is sharp, the expressions for the differential, partial and total decay widths of a resonant state bear a close resemblance with the Golden Rule. In such approximation, the branching fractions of a resonant state are the same as the standard branching fractions obtained by way of the Golden Rule. We also introduce dimensionless decay constants along with their associated differential decay constants, and we express experimentally measurable quantities such as the branching fractions and the energy distributions of decay events in terms of those dimensionless decay constants. © 2015 Elsevier B.V..
Tran Q.-N.,Lamar University
BMC Medical Genomics | Year: 2013
Background: One of the most common causes of worldwide cancer premature death is non-small cell lung carcinoma (NSCLC) with a very low survival rate of 8%-15%. Since patients with an early stage diagnosis can have up to four times the survival rate, discovering cost-effective biological markers that can be used to improve the diagnosis and prognosis of the disease is an important clinical challenge. In the last few years, significant progress has been made to address this challenge with identified biomarkers ranging from 5-gene signatures to 133-gene signatures. However, A typical molecular sub-classification method for lung carcinomas would have a low predictive accuracy of 68%-71% because datasets of gene-expression profiles typically have tens of thousands of genes for just few hundreds of patients. This type of datasets create many technical challenges impacting the accuracy of the diagnostic prediction. Results: We discovered that a small set of nine gene-signatures (JAG1, MET, CDH5, ABCC3, DSP, ABCD3, PECAM1, MAPRE2 and PDF5) from the dataset of 12,600 gene-expression profiles of NSCLC acts like an inference basis for NSCLC lung carcinoma and hence can be used as genetic markers. This very small and previously unknown set of biological markers gives an almost perfect predictive accuracy (99.75%) for the diagnosis of the disease the sub-type of cancer. Furthermore, we present a novel method that finds genetic markers for sub-classification of NSCLC. We use generalized Lorenz curves and Gini ratios to overcome many challenges arose from datasets of gene-expression profiles. Our method discovers novel genetic changes that occur in lung tumors using gene-expression profiles. Conclusions: While proteins encoded by some of these gene-signatures (e.g., JAG1 and MAPRE2) have been showed to involve in the signal transduction of cells and proliferation control of normal cells, specific functions of proteins encoded by other gene-signatures have not yet been determined. Hence, this work opens new questions for structural and molecular biologists about the role of these gene-signatures for the disease. © 2013 Tran; licensee BioMed Central Ltd.
Tadmor R.,Lamar University
Langmuir | Year: 2013
In a recent paper ('t Mannetje, D.; Banpurkar, A.; Koppelman, H.; Duits, M. H. G.; van den Ende, D.; Mugele, F. Electrically Tunable Wetting Defects Characterized by a Simple Capillary Force Sensor. Langmuir 2013, 29, 9944-9949), there are a few misconceptions regarding the interpretations of theories emanating from Shanahan and de Gennes in describing centrifugal adhesion balance (CAB) experiments, making their results seemingly contradictory to the theory. These are clarified here. We show that their results, if interpreted correctly, do not contradict the theories mentioned above. © 2013 American Chemical Society.