Physical Sciences and Mathematics Commons^™

Design Of A Portable Biogas Purification And Storage System, Anikumar Kosna, Bade Shrestha

Faculty Research and Creative Activities Award (FRACAA)

The objective of this study is to propose and design a commercial portable purification and storage system to commercialize biogas (which mainly consists of 45 - 75 % of methane and 15 - 16% of carbon dioxide), produced from household/non-commercial biogas plants. The selection of purification process is based on the portability of the purification system.

Assessing Land Deformation And Sea Encroachment In The Nile Delta, Egypt, Esayas Gebremichael

Research and Creative Activities Poster Day

Persistent scatterer interferometric analyses were conducted on a stack of 84 Envisat ASAR scenes spanning 7 years (2004 to 2010) over the entire Nile Delta of Egypt and surroundings to monitor the ongoing spatial and temporal land deformation, identify the factors controlling the deformation, and model the interplay between sea level rise and land subsidence to identify areas and populations threatened by sea encroachment by the end of the 21st century. Findings include: (1) general patterns of subsidence in the northern delta, near-steady (none) subsidence in the southern delta, separated by a previously mapped flexure zone undergoing uplift; (2) high …

Power-Efficient And Highly Scalable Parallel Graph Sampling Using Fpgas, Usman Tariq, Umer Cheema, Fahad Saeed

Parallel Computing and Data Science Lab Technical Reports

Energy efficiency is a crucial problem in data centers where big data is generally represented by directed or undirected graphs. Analysis of this big data graph is challenging due to volume and velocity of the data as well as irregular memory access patterns. Graph sampling is one of the most effective ways to reduce the size of graph while maintaining crucial characteristics. In this paper we present design and implementation of an FPGA based graph sampling method which is both time- and energy-efficient. This is in contrast to existing parallel approaches which include memory-distributed clusters, multicore and GPUs. Our …

Gpu-Pcc: A Gpu Based Technique To Compute Pairwise Pearson’S Correlation Coefficients For Big Fmri Data, Taban Eslami, Muaaz Gul Awan, Fahad Saeed

Parallel Computing and Data Science Lab Technical Reports

Functional Magnetic Resonance Imaging (fMRI) is a non-invasive brain imaging technique for studying the brain’s functional activities. Pearson’s Correlation Coefficient is an important measure for capturing dynamic behaviors and functional connectivity between brain components. One bottleneck in computing Correlation Coefficients is the time it takes to process big fMRI data. In this paper, we propose GPU-PCC, a GPU based algorithm based on vector dot product, which is able to compute pairwise Pearson’s Correlation Coefficients while performing computation once for each pair. Our method is able to compute Correlation Coefficients in an ordered fashion without the need to do post-processing reordering …

An Out-Of-Core Gpu Based Dimensionality Reduction Algorithm For Big Mass Spectrometry Data And Its Application In Bottom-Up Proteomics, Muaaz Awan, Fahad Saeed

Parallel Computing and Data Science Lab Technical Reports

Modern high resolution Mass Spectrometry instruments can generate millions of spectra in a single systems biology experiment. Each spectrum consists of thousands of peaks but only a small number of peaks actively contribute to deduction of peptides. Therefore, pre-processing of MS data to detect noisy and non-useful peaks are an active area of research. Most of the sequential noise reducing algorithms are impractical to use as a pre-processing step due to high time-complexity. In this paper, we present a GPU based dimensionality-reduction algorithm, called G-MSR, for MS2 spectra. Our proposed algorithm uses novel data structures which optimize the memory and …

Work Protecting Sensitive Data In Vanets Using Active Data Bundles, Abduljaleel M. Al Hasnawi

Research and Creative Activities Poster Day

Conclusions

• Integrating ADB with VANETs inaneffective and efficient way shouldsolvemost of the privacyissuesin VANETs
• ADB is extensible -allows adding more security and privacy protection mechanisms
• According to the sensitivity of the carried data

Future Work

• Evaluateusing ADB in VANETs via simulation
• Propose ADB routingprotocolfor VANETs
• Apply the proposed solution to diverseVANETapplications

The Green Manufacturing Industrial Consortium’S (Gmic) Approach To Zero-Waste-To-Landfill (Zwtl), Nathan J. Christensen, Marylin Glass-Angeles

Research and Creative Activities Poster Day

Introduction: As organizations continually seek to reduce various forms of waste, some may seek to reduce their landfill impact and improve recycling and material disposal practices. Many organizations interested in reducing their landfill waste have embarked on a zero-waste-to-landfill (ZWTL) journey. This journey involves thoroughly exploring the landfill waste of an organization, reverse tracking the waste to its source, and establishing new practices and procedures for eliminating the source of waste from the landfill stream. The purpose of this poster is to describe the methodology used by the Green Manufacturing Initiative to assist companies on their ZWTL journey.

The Impact Of Driving Conditions On Phev Battery Performance, Nathan Christensen, John Patten, Steven Srivastava, Gary P. Nola

Green Manufacturing Research Journal

The battery performance of a modified Prius with a 5 kWh plug-in battery was documented for a year to determine the impact of environmental conditions and user attributes on vehicle performance. Both fuel economy and pure electrical efficiency were compared to ambient temperature. The fuel economy has a positive relationship with ambient temperature until approximately 70˚F where the efficiency begins to drop. Electrical performance has a positive linear relationship with ambient temperature. With the emergence of electric vehicles (EVs) and PHEVs from a variety of automotive manufacturers, information on EV and PHEV performance for consumers will become more important.

Wind Charged Plug-In Hybrid Electric Vehicle, John Patten, Nathan Christensen, Steven Srivastava, Gary Nola

Green Manufacturing Research Journal

With the emergence of electric vehicles (EVs), hybrid vehicles HVs) and plug-in hybrid electric vehicles (PHEVs) from a variety of automotive manufacturers, the electrical grid will need to meet new challenges in supplying the electricity required to charge these vehicles. To help supply the electricity needed by these vehicles, we compared the electricity consumption of a modified Toyota Prius (PHEV) and the output of a small residential wind turbine over the course of one year. Our research seeks to determine whether a small residential wind turbine can supply the necessary electricity demanded by the PHEV annually.