Engineering Commons^™

On Demand Cell Sectoring Based Fractional Frequency Reuse In Wireless Networks, Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury

Electrical and Computer Engineering Student Research

In this paper, a dynamic channel assigning along with dynamic cell sectoring model has been proposed that focuses on the Fractional Frequency Reuse (FFR) not only for interference mitigation but also for enhancement of overall system capacity in wireless networks. We partition the cells in a cluster into two part named centre user part (CUP) and edge user part (EUP). Instead of huge traffic, there may be unoccupied channels in the EUPs of the cells. These unoccupied channels of the EUPs can assist the excessive number of users if these channels are assigned with proper interference management. If the number …

Class-Based Interference Management In Wireless Networks, Mohammad Arif Hossain, Mostafa Zaman Chowdhury, Shakil Ahmed, Yeong Min Jang

Electrical and Computer Engineering Student Research

Technological advancement has brought revolutionary change in the converged wireless networks. Due to the existence of different types of traffic, provisioning of Quality of Service (QoS) becomes a challenge in the wireless networks. In case of a congested network, resource allocation has emerged as an effective way to provide the excessive users with desirable QoS. Since QoS for non-real-time traffic are not as strict as for real-time traffic, the unoccupied channels of the adjacent cells can be assigned to the non-real-time traffic to retain QoS for real-time traffic. This results in the intensified bandwidth utilization as well as less interference …

Modeling The Snow Surface Temperature With A One-Layer Energy Balance Snowmelt Model, J. You, David G. Tarboton, C. H. Luce

Civil and Environmental Engineering Faculty Publications

Snow surface temperature is a key control on and result of dynamically coupled energy exchanges at the snow surface. The snow surface temperature is the result of the balance between external forcing (incoming radiation) and energy exchanges above the surface that depend on surface temperature (outgoing longwave radiation and turbulent fluxes) and the transport of energy into the snow by conduction and meltwater influx. Because of the strong insulating properties of snow, thermal gradients in snow packs are large and nonlinear, a fact that has led many to advocate multiple layer snowmelt models over single layer models. In an effort …

Retrieval Of Spectral Reflectance Of High Resolution Multispectral Imagery Acquired With An Autonomous Unmanned Aerial Vehicle: Aggieair™, Bushra Zaman, Austin Jensen, Shannon R. Clemens, Mac Mckee

AggieAir Publications

This research presents a new semi-automatic model for converting raw AggieAir™ footprints in visible and near-infrared (NIR) bands into reflectance images. AggieAir, a new unmanned aerial vehicle (UAV) platform, is flown autonomously using pre-programmed flight plans at low altitudes to limit atmospheric effects. The UAV acquires high-resolution, multispectral images and has a flight duration of about 30 minutes. The sensors on board are twin cameras with duplicate settings and automatic mode disabled. A white Barium Sulfate (BaSO4) panel is used for reflectance calibration and in situ irradiance measurements. The spatial resolution of the imagery is 25 cm; the radiometric resolution …

Hydroshare: Advancing Collaboration Through Hydrologic Data And Model Sharing, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

HydroShare is an online, collaborative system being developed for open sharing of hydrologic data and models. The goal of HydroShare is to enable hydrology researchers to easily discover and access hydrologic data and models, retrieve them to their desktop for local analysis and perform analyses in a distributed computing environment that may include grid, cloud or high performance computing. Users may also share and publish outcomes (data, results or models) into HydroShare, using the system as a collaboration platform. HydroShare is expanding the data sharing capability of the CUAHSI Hydrologic Information System by broadening the classes of data accommodated. HydroShare …

Path Flow Estimator For Planning Applications In Small Communities, Seungkyu Rya, Anthony Chen, H. Michael Zhang, Will Recker

Graduate Student Publications

This paper presents an alternative planning framework to model and forecast network traffic for planning applications in small communities, where limited resources debilitate the development and applications of the conventional four-step travel demand forecasting model. The core idea is to use the path flow estimator (PFE) to estimate current and forecast future traffic demand while taking into account of various field and planning data as modeling constraints. Specifically, two versions of PFE are developed: a base year PFE for estimating the current network traffic conditions using field data and planning data, if available, and a future year PFE for predicting …

Tackling Qos-Induced Aging In Exascale Systems Through Agile Path Selection, Dean Michael Ancajas, Koushik Chakraborty, Sanghamitra Roy, Jason Allred

Electrical and Computer Engineering Faculty Publications

Network-On-Chips (NoCs) have become the standard communication platform for future massively parallel systems due to their performance, flexibility and scalability advantages. However, reliability issues brought about by scaling in the sub-20nm era threaten to undermine the benefits offered by NoCs. In this paper, we showthat QoS policies exacerbate the reliability profile of an exascale system. To mitigate this imposing challenge, we propose Dynamic Wearout Resilient Routing (DWRR) algorithms in QoS-enabled exascale NoCs. Our proposal includes two novel DWRR algorithms enabled by a critical-path monitor and a broadcast-based routing configuration. Using PARSEC benchmarks, our best algorithm improves QoS and long-term sustainability …

Digitalcrust - A 4d Data System Of Material Properties For Transforming Research On Crustal Fluid Flow, Y. Fan, S. Richard, R. S. Bristol, S. E. Peters, S. E. Ingebritsen, N. Moosdorf, A. Packman, T. Gleeson, I. Zaslavsky, S. Peckham, L. Murdoch, M. Fienen, David G. Tarboton, N. Jones, Richard P. Hooper, J. Arrigo, D. Gochis, J. R. Olson, D. Wolock

Civil and Environmental Engineering Faculty Publications

Fluid circulation in the Earth's crust plays an essential role in surface, near surface, and deep crustal processes. Flow pathways are driven by hydraulic gradients but controlled by material permeability, which varies over many orders of magnitude and changes over time. Although millions of measurements of crustal properties have been made, including geophysical imaging and borehole tests, this vast amount of data and information has not been integrated into a comprehensive knowledge system. A community data infrastructure is needed to improve data access, enable large‐scale synthetic analyses, and support representations of the subsurface in Earth system models. Here, we describe …

Environmental Systems Analysis - Penn State, University Park, Douglas A. Haith

All ECSTATIC Materials

Undergraduate course in environmental systems analysis offered at Penn State, University Park in Fall 2014.

Environmental Engineering Systems, Mark Houck

All ECSTATIC Materials

Introduces the concepts and applications of systems analysis in environmental engineering. Tools and methodologies of systems analysis are applied to improve the understanding and resolution of complex environmental engineering problems related to air, soil, and water quality and pollution. Scientific, engineering, political, social, legal, regulatory, medical, economic, and financial impacts of environmental engineering decisions are considered. Course taught at George Mason University.

Water Resources Engineering 2: Water Resource Systems - George Mason University, Mark Houck

All ECSTATIC Materials

To introduce concepts, applications, and tools of systems analysis for water resources planning, management, and design.

To apply these principles to problems including river basin planning, real-time hydrosystem operations, water quality management, capacity expansion, urban drainage network design, and sanitary sewer design.

Course taught at George Mason University.

Computer Aided Water Management And Control - Colorado State University, John Labadie

All ECSTATIC Materials

Present modern computer-aided tools of systems analysis to planning, design, and operation of water resource systems. Topics covered include: optimal operation of multipurpose reservoir systems; optimal flood control system operations; coordinated unit commitment in hydropower systems; optimal multicrop allocation of seasonal and intraseasonal irrigation water; risk-based design of stochastic reservoir operating policies; economic evaluation of integrated design of water storage and conveyance systems; optimal conjunctive use of surface water and groundwater; optimal reservoir operations for water quality management; and optimal investment timing and selection of water resource projects. Several case studies are presented for river basins in the U.S., Dominican …

An Integrated Modeling System For Estimating Glacier And Snow Melt Driven Streamflow From Remote Sensing And Earth System Data Products In The Himalayas, M. E. Brown, A. E. Racoviteanu, David G. Tarboton, A. Sen Gupta, J. Nigro, F. Policelli, S. Habib, M. Tokay, M. S. Shrestha, S. Bajracharya, P. Hummel, M. Gray, P. Duda, B. Zaitchik, Vinod Mahat, G. Artan, S. Tokar

Civil and Environmental Engineering Faculty Publications

Quantification of the contribution of the hydrologic components (snow, ice and rain) to river discharge in the Hindu Kush Himalayan (HKH) region is important for decision-making in water sensitive sectors, and for water resources management and flood risk reduction. In this area, access to and monitoring of the glaciers and their melt outflow is challenging due to difficult access, thus modeling based on remote sensing offers the potential for providing information to improve water resources management and decision making. This paper describes an integrated modeling system developed using downscaled NASA satellite based and earth system data products coupled with in-situ …

Control Of The Diffracted Response Of A Metallic Wire Array With Double Period: Experimental Demonstration, Nicholas A. Roberts, D. C. Skigin, J. D. Fowlkes, L. B. Scaffardi, D. C. Schinca, M. Lester

Mechanical and Aerospace Engineering Faculty Publications

In recent papers, it has been theoretically shown that by using dual-period wire gratings, it is possible to control the relative efficiencies of the diffracted orders, regardless of the wires’ material, incident polarization and wavelength. In this Letter, we experimentally demonstrate, for the first time, that by appropriately choosing the geometrical parameters of a nanometric periodic structure, it is possible to control the optical response in the visible range. We show examples of nanostructures designed to cancel out or to intensify a particular diffraction order. Such nanostructures allow a broad control over the directionality and the intensity of the diffracted …

Approaches For Studying Fish Production: Do River And Lake Researchers Have Different Perspectives?, Wayne A. Wurtsbaugh, Nicholas A. Heredia, Brian G. Laub, Christy S. Meredith, Harrison E. Mohn, Sarah E. Null, David A. Pluth, Brett B. Roper, W. Carl Saunders, David King Stevens, Richard H. Walker, Kit Wheeler

Civil and Environmental Engineering Faculty Publications

Biased perspectives of fisheries researchers may hinder scientific progress and effective management if limiting factors controlling productivity go unrecognized. We investigated whether river and lake researchers used different approaches when studying salmonid production and whether any differences were ecologically supported. We assessed 564 peer-reviewed papers published between 1966 and 2012 that studied salmonid production or surrogate variables (e.g., abundance, growth, biomass, population) and classified them into five major predictor variable categories: physical habitat, fertility (i.e., nutrients, bottom-up), biotic, temperature, and pollution. The review demonstrated that river researchers primarily analyzed physical habitat (65% of studies) and lake researchers primarily analyzed fertility …

Practitioner Interview, Kirk Westphal

All ECSTATIC Materials

Phone interview with Kirk Westphal from CDM Smith by Emily Berglund and David Watkins, Jr.. Interview questions asked inquired about (i) practitioner’s professional background, (ii) practitioner’s personal experience with systems analysis techniques and software in their job, (iii) role, benefits, and challenges in using systems analysis concepts in the water resources engineering profession, and (iv) recommendations for improving education of environmental and water resources systems analysis in universities.

Compositional Model Checking Of Concurrent Systems, Hao Zheng, Zhen Zhang, Chris J. Myers, Emmanuel Rodriguez, Yingying Zhang

Electrical and Computer Engineering Faculty Publications

This paper presents a compositional framework to address the state explosion problem in model checking of concurrent systems. This framework takes as input a system model described as a network of communicating components in a high-level description language, finds the local state transition models for each individual component where local properties can be verified, and then iteratively reduces and composes the component state transition models to form a reduced global model for the entire system where global safety properties can be verified. The state space reductions used in this framework result in a reduced model that contains the exact same …

Topsoil Moisture Estimation For Precision Agriculture Using Unmanned Aerial Vehicle Multispectral Imagery, Leila Hassan-Esfahani, Alfonso F. Torres-Rua, Andres M. Ticlavilca, Austin M. Jensen, Mac Mckee

Civil and Environmental Engineering Faculty Publications

There is an increasing trend in crop production management decisions in precision agriculture based on observation of high resolution aerial images from unmanned aerial vehicles (UAV). Nevertheless, there are still limitations in terms of relating the spectral imagery information to the agricultural targets. AggieAir™ is a small, autonomous unmanned aircraft which carries multispectral cameras to capture aerial imagery during pre-programmed flights. AggieAir enables users to gather imagery at greater spatial and temporal resolution than most manned aircraft and satellite sources. The platform has been successfully used in support of a wide variety of water and natural resources management areas. This …

Radio Resource Management For Dynamic Channel Borrowing Scheme In Wireless Networks, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury

Electrical and Computer Engineering Student Research

Provisioning of Quality of Service (QoS) is the key concern for Radio Resource Management now-a-days. In this paper, an efficient dynamic channel borrowing architecture has been proposed that ensures better QoS. The proposed scheme lessens the problem of excessive overall call blocking probability without sacrificing bandwidth utilization. If a channel is borrowed from an adjacent cell and causes interference, in that case we also propose architecture that diminishes the interference problem. The numerical results show comparison between the proposed scheme and the conventional scheme before channel borrowing process. The results show a satisfactory performance that are in favor of the …

A New Guard-Band Call Admission Control Policy Based On Acceptance Factor For Wireless Cellular Networks, Asadur Rahman, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury

Electrical and Computer Engineering Student Research

Utilization of limited resources and quality of service (QoS) improvement are the major concerns for wireless communication networks. Excessive call blocking is a constraint to attain the desired QoS. In cellular network, as the traffic arrival rate increases, new call blocking probability (CBP) increases considerably. Paying profound concern, we have proposed a guard-band call admission control policy that reduces the new call blocking probability with approximately steady handover call dropping probability (CDP) that ensures QoS. Our proposed scheme introduces the acceptance factor in specific guard channels where new calls get access according to the acceptance factor. The analytical results prove …

Interference Declination For Dynamic Channel Borrowing Scheme In Wireless Networks, Shakil Ahmed, Mohammad Arif Hossain, Mostafa Zaman Chowdhury

Electrical and Computer Engineering Student Research

In modern days, users in the wireless networks are increasing drastically. It has become the major concern for researchers to manage the maximum users with limited radio resource. Interference is one of the biggest hindrances to reach the goal. In this paper, being deep apprehension of the issue, an efficient dynamic channel borrowing scheme is proposed that ensures better Quality of Service (QoS) with interference declination. We propose that if channels are borrowed from adjacent cells, cell bifurcation will be introduced that ensures interference declination when the borrowed channels have same frequency band. We also propose a scheme that inactivates …

Radio Resource Management For Dynamic Channel Borrowing Scheme In Wireless Networks, Mohammad Arif Hossain, Shakil Ahmed, Mostafa Zaman Chowdhury

Electrical and Computer Engineering Student Research

Provisioning of Quality of Service (QoS) is the key concern for Radio Resource Management now-a-days. In this paper, an efficient dynamic channel borrowing architecture has been proposed that ensures better QoS. The proposed scheme lessens the problem of excessive overall call blocking probability without sacrificing bandwidth utilization. If a channel is borrowed from an adjacent cell and causes interference, in that case we also propose architecture that diminishes the interference problem. The numerical results show comparison between the proposed scheme and the conventional scheme before channel borrowing process. The results show a satisfactory performance that are in favor of the …

Links Between Plant And Fungal Communities Across A Deforestation Chronosequence In The Amazon Rainforest, Babur S. Mirza, R. C. Mueller, F. S. Paula, J. L.M. Rodrigues, K. Nusslein, B. J.M. Bohannan

Civil and Environmental Engineering Faculty Publications

Understanding the interactions among microbial communities, plant communities and soil properties following deforestation could provide insights into the long-term effects of land-use change on ecosystem functions, and may help identify approaches that promote the recovery of degraded sites. We combined high-throughput sequencing of fungal rDNA and molecular barcoding of plant roots to estimate fungal and plant community composition in soil sampled across a chronosequence of deforestation. We found significant effects of land-use change on fungal community composition, which was more closely correlated to plant community composition than to changes in soil properties or geographic distance, providing evidence for strong links …

Improving The Complementary Methods To Estimate Evapotranspiration Under Diverse Climatic And Physical Conditions, Fathi Anayah, Jagath J. Kaluarachchi

Civil and Environmental Engineering Faculty Publications

Reliable estimation of evapotranspiration (ET) is important for the purpose of water resources planning and management. Complementary methods, including complementary relationship areal evapotranspiration (CRAE), advection aridity (AA) and Granger and Gray (GG), have been used to estimate ET because these methods are simple and practical in estimating regional ET using meteorological data only. However, prior studies have found limitations in these methods especially in contrasting climates. This study aims to develop a calibration-free universal method using the complementary relationships to compute regional ET in contrasting climatic and physical conditions with meteorological data only. The proposed methodology consists of a systematic …

How To Utilize Relevance Vectors To Collect Required Data For Modeling Water Quality Constitu-Ents, And Fine Sediment In Natural Systems? Case Study: Mud Lake, Idaho, Hussein Aly Batt, David King Stevens

Civil and Environmental Engineering Faculty Publications

The development of monitoring programs for water quality and habitat assessment in surface waters is an ongoing challenge because of inherent difficulties in determining the effective spatial and temporal distribution of sites and trips. Recent advances in statistical learning theory, in which system characteristics are learned from data, point to the possibility of using the information content of data to shed light on monitoring results that provide sensitive and independent results. One of those techniques, multivariate relevance vector machines (MVRVM), creates as part of its algorithm subsets of a data set, called relevant vectors (RVs), that are most relevant for …

Fort-Nocs: Mitigating The Threat Of A Compromised Noc, Dean Michael Ancajas, Koushik Chakraborty, Sanghamitra Roy

Electrical and Computer Engineering Faculty Publications

In this paper, we uncover a novel and imminent threat to an emerging computing paradigm: MPSoCs built with 3rd party IP NoCs. We demonstrate that a compromised NoC (C-NoC) can enable a range of security attacks with an accomplice software component. To counteract these threats, we propose Fort-NoCs, a series of techniques that work together to provide protection from a C-NoC in an MPSoC. Fort-NoCs's foolproof protection disables covert backdoor activation, and reduces the chance of a successful side-channel attack by "clouding" the information obtained by an attacker. Compared to recently proposed techniques, Fort-NoCs offers a substantially better protection with …

Predicting Streamflows In Snowmelt-Driven Watersheds Using The Flow Duration Curve Method, Daeha Kim, Jagath J. Kaluarachchi

Civil and Environmental Engineering Faculty Publications

Predicting streamflows in snow-fed watersheds in the Western United States is important for water allocation. Since many of these watersheds are heavily regulated through canal networks and reservoirs, predicting expected natural flows and therefore water availability under limited data is always a challenge. This study investigates the applicability of the flow duration curve (FDC) method for predicting natural flows in gauged and regulated snow-fed watersheds. Point snow observations, air temperature, precipitation, and snow water equivalent were used to simulate the snowmelt process with the SNOW-17 model, and extended to streamflow simulation using the FDC method with a modified current precipitation …

Modeling The Hydrology Of The Great Salt Lake: What Makes The Great Salt Lake Go Up And Down, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

No abstract provided.

Range Resolution Improvement Of Eyesafe Ladar Testbed (Elt) Measurements Using Sparse Signal Deconvolution, Scott E. Budge, Jacob H. Gunther

Civil and Environmental Engineering Faculty Publications

The Eyesafe Ladar Test-bed (ELT) is a experimental ladar system with the capability of digitizing return laser pulse waveforms at 2 GHz. These waveforms can then be exploited o-line in the laboratory to develop signal processing techniques for noise reduction, range resolution improvement, and range discrimination between two surfaces of similar range interrogated by a single laser pulse. This paper presents the results of experiments with new deconvolution algorithms with the hoped for gains of improving the range discrimination of the ladar system. The sparsity of ladar returns is exploited to solve the deconvolution problem in two steps. The rst …

Improved Registration For 3d Image Creation Using Multiple Texel Images And Incorporating Low-Cost Gps/Ins Measurements, Scott E. Budge, Xuan Xie

Civil and Environmental Engineering Faculty Publications

The creation of 3D imagery is an important topic in remote sensing. Several methods have been developed to create 3D images from fused ladar and digital images, known as texel images. These methods have the advantage of using both the 3D ladar information and the 2D digital imagery directly, since texel images are fused during data acquisition. A weakness of these methods is that they are dependent on correlating feature points in the digital images. This can be dicult when image perspectives are signicantly dierent, leading to low correlation values between matching feature points. This paper presents a method to …