Engineering Commons^™

Magnus Effect In Duct Flow, Jesse S. Batko, Cameron W. Clarke, Kenneth W. Smith Jr.

Williams Honors College, Honors Research Projects

The following research paper details the preliminary research carried out by this team. The project was originally conceived to determine if Magnus Lift could be utilized in an unconventional way to assist rockets during takeoff. Several conceptual designs were proposed, but the idea was scrapped when it became apparent that the team would not be able to generate the desired lift without inducing significant amounts of drag and additional weight on a rocket. Instead, the team focused on researching an interesting topic that hasn’t been previously explored: Magnus lift on a cylinder within a duct.

An experimental procedure that could …

Microwave Radiometer (Mwr) Evaluation Of Multi-Beam Satellite Antenna Boresight Pointing Using Land-Water Crossings, For The Aquarius/Sac-D Mission, Bradley Clymer

Electronic Theses and Dissertations

This research concerns the CONAE Microwave Radiometer (MWR), on board the Aquarius/SAC-D platform. MWR's main purpose is to provide measurements that are simultaneous and spatially collocated with those of NASA's Aquarius radiometer/scatterometer. For this reason, knowledge of the MWR antenna beam footprint geolocation is crucial to mission success. In particular, this thesis addresses an on-orbit validation of the MWR antenna beam pointing, using calculated MWR instantaneous field of view (IFOV) centers, provided in the CONAE L-1B science data product. This procedure compares L-1B MWR IFOV centers at land/water crossings against high-resolution coastline maps. MWR IFOV locations versus time are computed …

Reactive Sputter Deposition Of Lithium Phosphorus Oxynitride Thin Films, A Li Battery Solid State Electrolyte, Prabhu Doss Mani

Electronic Theses and Dissertations

Lithium phosphorus oxy-nitride (LiPON) thin films are widely studied and used as a thin film electrolyte for lithium ion battery applications. LiPON thin films may be prepared by many techniques, but RF sputter deposition is most frequently used and was investigated in this dissertation, in spite of its low deposition rate, because of it offers more reliable and controllable processing. This dissertation includes the methodologies of sputter deposition and materials characterization of the LiPON thin film electrolytes. The LiPON thin films were deposited under varying conditions of process gas, substrate bias, and deposition temperature. To understand the variations in ionic …

Improving Fairness, Throughput And Blocking Performance For Long Haul And Short Reach Optical Networks, Sana Tariq

Electronic Theses and Dissertations

Innovations in optical communication are expected to transform the landscape of global communications, internet and datacenter networks. This dissertation investigates several important issues in optical communication such as fairness, throughput, blocking probability and differentiated quality of service (QoS). Novel algorithms and new approaches have been presented to improve the performance of optical circuit switching (OCS) and optical burst switching (OBS) for long haul, and datacenter networks. Extensive simulations tests have been conducted to evaluate the effectiveness of the proposed algorithms. These simulation tests were performed over a number of network topologies such as ring, mesh and U.S. Long-Haul, some high …

Streamlining The Acquisition Process: Systems Analysis For Improving Army Acquisition Corps Officer Management, Shawn Chu-Quinn

Electronic Theses and Dissertations

The Army Acquisition Officer lacks proficient experience needed to fill key leadership positions within the Acquisition Corps. The active duty Army officer is considered for the Acquisition Corps functional area between their 5th and 9th years of service as an officer – after completing initial career milestones. The new Acquisition Corps officer is the rank of senior Captain or Major when he arrives to his first acquisition assignment with a proficiency level of novice (in acquisition). The Army officer may be advanced in his primary career branch, but his level decreases when he is assigned into the Acquisition Corps functional …

A Framework For Interoperability On The United States Electric Grid Infrastructure, Stuart Laval

Electronic Theses and Dissertations

Historically, the United States (US) electric grid has been a stable one-way power delivery infrastructure that supplies centrally-generated electricity to its predictably consuming demand. However, the US electric grid is now undergoing a huge transformation from a simple and static system to a complex and dynamic network, which is starting to interconnect intermittent distributed energy resources (DERs), portable electric vehicles (EVs), and load-altering home automation devices, that create bidirectional power flow or stochastic load behavior. In order for this grid of the future to effectively embrace the high penetration of these disruptive and fast-responding digital technologies without compromising its safety, …

Body Mass Bias Mitigation For Females In Military Physical Readiness Testing Through Load Carriage Implementation, Aaron Yeaton

Electronic Theses and Dissertations

The US Military requires specific fitness testing, known as the Physical Readiness Test (PRT), for its members to determine their overall fitness levels. The test currently being used has been shown to have bias towards heavier mass individuals of up to 20%. Prior research has been completed and several recommendations have been made to eliminate mass bias, but this has been conducted almost exclusively on males. There is very little data and research on military physical fitness testing for women besides combat specific evolution exercises. A possibility exists to eliminate the bias for females through implementing load carriage during PRT …

The Effects Of Chronic Sleep Deprivation On Sustained Attention: A Study Of Brain Dynamic Functional Connectivity, Yiling He

Electronic Theses and Dissertations

It is estimated that about 35-40% of adults in the U.S. suffer from insufficient sleep. Chronic sleep deprivation has become a prevalent phenomenon because of contemporary lifestyle and work-related factors. Sleep deprivation can reduce the capabilities and efficiency of attentional performance by impairing perception, increasing effort to maintain concentration, as well as introducing vision disturbance. Thus, it is important to understand the neural mechanisms behind how chronic sleep deprivation impairs sustained attention. In recent years, more attention has been paid to the study of the integration between anatomically distributed and functionally connected brain regions. Functional connectivity has been widely used …

Evaluation Of Strength And Hydraulic Properties Of Buried Pipe Systems Used For Stormwater Harvesting, Mario Samson Mena

Electronic Theses and Dissertations

Water scarcity has been identified as a global issue. Both water harvesting and an efficient water piping system are some of the important factors to meet the water demand. In this study, high-density polyethylene (HDPE) pipes used as an underground storage was evaluated and a Microsoft EXCEL based model was developed, called PIPE-R Model. To study the structural integrity of the pipes, laboratory and field testing were conducted. For the water harvesting, UCF Stormwater Management Academy designed an EXCEL based model to simulate the system's performance to store and redistribute water for an average year. The purpose of PIPE-R Model …

Selection Of A Realistic Viscous Vortex Tangential Velocity Profile For Computer Simulation Of Vortex-Structure Interaction, M. N. Strasser, R. P. Selvam

Journal of the Arkansas Academy of Science

Structure loading by vortices is a relevant phenomenon in numerous fields of engineering significance. Computer modelling is a powerful tool that can be used to study the loading produced on structures by impacting vortices. Realistic simulation of vortex-loading of structures necessitates the use of a realistic vortex tangential velocity profile (TVP). The present study compiles measured TVPs from various types of experimentally-produced vortices as well as real-world tornado and hurricane vortices. The measured TVPs are compared with commonly-used, analytical TVPs. Analytical TVPs that realistically represent the range of measured TVPs are identified and selected for use in future computer simulation …

Is Service-Learning Worth It?: A Mixed-Methods Study Of Faculty’S Service-Learning Experiences, Joan M. Blakey, Shirley Theriot, Mary Cazzell, Melanie L. Sattler

Civil Engineering Faculty Publications - Archive

Service-learning benefits students, communities, institutions of higher learning, and faculty. Most studies have focused on the impact of service-learning on students; however, there is a dearth of mixed-methods research examining faculty use of service-learning. Using a two-phase, exploratory, mixed-methods design, the purpose of this study was to understand the factors that influenced 24 faculty fellows’ engagement with service-learning. The qualitative component examined four faculty’s in-depth experiences with service-learning to understand the meaning they assigned to those experiences and to identify key themes that affected engagement. The quantitative phase of the study explored the extent to which 20 additional faculty fellows’ …

Development Of A Simplified Flexible Pavement Design Protocol For New York State Department Of Transportation Based On Aashto Me Pavement Design Guide, Ali Qays Abdullah

Civil Engineering Dissertations - Archive

New York State Department of Transportation (NYSDOT) has used the AASHTO 1993 Design Guide for the design of new flexible pavement structures for more than three decades. The AASHTO 1993 Guide is based on the empirical relationships developed for the data collected in the AASHO Road Test in the early 1960's. A newer pavement design method, called the Mechanistic-Empirical Pavement Design Guide (MEPDG) was developed by the National Cooperative Highway Research Program to provide a more efficient and accurate design method and based on sound engineering principles. The MEPDG models have been incorporated in the AASHTOWare Pavement ME 2.1 software …

Networked Heterogeneous Systems In A Ros-Enabled Cloud Environment, Christopher Reid

College of Graduate Studies: Theses & Dissertations

It is important in the development of cloud robotics that the challenges presented by transferring computational loads to networked resources are properly addressed. The challenges include network latency, data integrity, security, and privacy. The objective of the present work is to investigate the issues of latency and data integrity in a representative cloud robotics environment. The present work involves setting up a cloud robotics network in an open-source Robot Operating System (ROS) framework and carrying out investigations on the levels of latency and reduction in data integrity as utilization of the network increases. In this study, a virtual datacenter has …

Design Of Piles In Liquefied Soils For Combined Inertial And Kinematic Demands, Arash Khosravifar, J. Ugalde, T. Travasarou

Civil and Environmental Engineering Faculty Publications and Presentations

The design of piles penetrating liquefiable soils poses a number of challenges, including 1) accounting for the effects of liquefaction on lateral soil springs (p-y), 2) estimating liquefaction-induced kinematic demands (lateral spreading displacements) including pile-pinning effects, and 3) combining the effects of inertial demands from superstructure and kinematic demands from liquefied ground. This paper illustrates two approaches to address the above questions: A) a simplified decoupled approach adopting equivalent static analysis (ESA), and B) a detailed, coupled approach adopting nonlinear dynamic analyses (NDA). These approaches are presented through example projects showing the limitations and the potential conservatism associated with the …

Cyber Blackbox For Collecting Network Evidence, Jooyoung Lee, Sunoh Choi, Yangseo Choi, Jonghyun Kim, Ikkyun Kim, Youngseok Lee

Australian Digital Forensics Conference

In recent years, the hottest topics in the security field are related to the advanced and persistent attacks. As an approach to solve this problem, we propose a cyber blackbox which collects and preserves network traffic on a virtual volume based WORM device, called EvidenceLock to ensure data integrity for security and forensic analysis. As a strategy to retain traffic for long enough periods, we introduce a deduplication method. Also this paper includes a study on the network evidence which is collected and preserved for analyzing the cause of cyber incident. Then, a method is proposed to suggest a starting …

Efficient Calculation Of Large Finite Periodic Structures Based On Surface Wave Analysis, Xiaoyan Y.Z. Xiong, Ling Ling Meng, Li (Lijun) Jun Jiang, Wei E.I. Sha, Fan Yang

Electrical and Computer Engineering Faculty Research & Creative Works

The electromagnetic modeling of practical finite periodic structures is a topic of growing interest. Due to the truncation of infinite periodic structures, surface waves will be excited and localized near discontinuous interfaces leading to the edge effect. In this work, surface waves are numerically extracted and their magnitudes and decay rates are analyzed for different materials and geometries. Based on the exponential decay of the surface wave, a novel method is developed by connecting the solution to the large finite array problem with that to a relatively small one to achieve low complexity and memory consumption. The method numerically reconstructs …

Dispersion Characteristics Analysis Of One Dimensional Multiple Periodic Structures And Their Applications To Antennas, Zi Long Ma, Li (Lijun) Jun Jiang, Shulabh Gupta, Wei E.I. Sha

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a general characterization of one dimensional multiple periodic (MP) structures for electromagnetic transmission and radiation. Studies are conducted from three aspects: Firstly, the dispersion relations of non-dispersive (conventional) and dispersive (composite right/left-handed (CRLH)) materials are analyzed. Regarding each category of materials, detailed analyses for distributed layered media and lumped circuits are presented. Through studies, we found that the periodicity increase opens up multiple stopbands. According to our physical explanations and numerical results, the relation between stopbands and periodicity is clarified. Additionally, the periodicity increase also reduces the separation distance of space harmonic modes along the phase constant …

High-Performance Extreme Learning Machines: A Complete Toolbox For Big Data Applications, Anton Akusok, Kaj Mikael Bjork, Yoan Miche, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

This Paper Presents a Complete Approach to a Successful Utilization of a High-Performance Extreme Learning Machines (Elms) Toolbox for Big Data. It Summarizes Recent Advantages in Algorithmic Performance; Gives a Fresh View on the Elm Solution in Relation to the Traditional Linear Algebraic Performance; and Reaps the Latest Software and Hardware Performance Achievements. the Results Are Applicable to a Wide Range of Machine Learning Problems and Thus Provide a Solid Ground for Tackling Numerous Big Data Challenges. the Included Toolbox is Targeted at Enabling the Full Potential of Elms to the Widest Range of Users.

Particle Swarm Optimization Based Selective Ensemble Of Online Sequential Extreme Learning Machine, Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

A Novel Particle Swarm Optimization based Selective Ensemble (PSOSEN) of Online Sequential Extreme Learning Machine (OS-ELM) is Proposed. It is based on the Original OS-ELM with an Adaptive Selective Ensemble Framework. Two Novel Insights Are Proposed in This Paper. First, a Novel Selective Ensemble Algorithm Referred to as Particle Swarm Optimization Selective Ensemble is Proposed, noting that PSOSEN is a General Selective Ensemble Method Which is Applicable to Any Learning Algorithms, Including Batch Learning and Online Learning. Second, an Adaptive Selective Ensemble Framework for Online Learning is Designed to Balance the Accuracy and Speed of the Algorithm. Experiments for Both …

Future Internet Resilience For Massive Failures, Yufei Cheng, Egemen K. Çetinkaya, James P. G. Sterbenz

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Modelling Robustness Of Critical Infrastructure Networks, Srinath Pinnaka, Rajgopal Yarlagadda, Egemen K. Çetinkaya

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Strategies To Enhance Learning In A Large Engineering Economics Course: Including Students’ Perceived Values In The Instructional Redesign Process, Kellie S. Grasman, D. Cernusca

Engineering Management and Systems Engineering Faculty Research & Creative Works

Purposeful implementation of technology in instructional design presents opportunities to increase institutional efficiency while simultaneously improving instructional quality. This paper presents findings from the implementation of a hybrid/buffet approach in an undergraduate Engineering Economics large course. A Design-Based Research (DBR) approach informed the instructional redesign and measured its effectiveness through multiple iterations, or macro-cycles, of implementation. Overall, pedagogical structure and specific technology solutions applied to each course component are described, as well as preliminary measures of effectiveness and student perception from a pilot offering of the hybrid/buffet course. Encouraged by positive preliminary results, a second implementation informed further study of …

Survivability Evaluation Of Gas, Water And Electricity Infrastructures, Alberto A. Avritzer, Laura Carnevali, Hamed Ghasemieh, Lucia Happe, Boudewijn R. H. M. Haverkort, Anne Koziolek, Daniel Sadoc Menasche, Anne Remke, Sahra Sedigh, Enrico Vicario

Electrical and Computer Engineering Faculty Research & Creative Works

The infrastructures used in cities to supply power, water and gas are consistently becoming more automated. As society depends critically on these cyber-physical infrastructures, their survivability assessment deserves more attention. In this overview, we first touch upon a taxonomy on survivability of cyber-physical infrastructures, before we focus on three classes of infrastructures (gas, water and electricity) and discuss recent modelling and evaluation approaches and challenges.

Thevenin Equivalence In Disorderless Quantum Networks, C. A. Cain, Cheng-Hsiao Wu

Electrical and Computer Engineering Faculty Research & Creative Works

We outline the procedure of extending the Thévenin equivalence principle for classical electric circuits to reducing Aharonov-Bohm-based quantum networks into equivalent models. With examples, we show from first principles how the requirements are related to the electron band structure's Fermi level and the lattice spacing of the network. Quantum networks of varying degrees of coupling strength from four basic classifications of single and double entangled loops sharing symmetry and highly correlated band structures are used to demonstrate the concept. We show the limitations of how the principle may be applied. Several classes of examples are given and their equivalent forms …

Band To Band Calibration And Relative Gain Analysis Of Satellite Sensors Using Deep Convective Clouds, Suman Bhatta

Electronic Theses and Dissertations

Two calibration techniques were developed in this research. First, a calibration technique, in which calibration was transferred to cirrus band and coastal aerosol band from well calibrated reflective bands of Landsat 8 using SCIAMACHY Deep Convective Cloud (DCC) spectra. Second, a novel method to derive relative gains using DCCs and improve the image quality of cirrus band scenes was developed. DCCs are very cold, bright clouds located in the tropopause layer. At small sun elevation and sensor viewing angles, they act as near Lambertian solar reflectors. They have very high signal to noise ratio and can easily be detected using …

Modeling The Impact Of Future Climate On Drainage Infrastructures, Tyler J. Baumbach

Electronic Theses and Dissertations

Research has shown a potential 20% increase in future heavy and extreme precipitation events over the Midwestern States. Drainage infrastructures designed using current design conditions may not be able to convey projected runoffs resulting in flooding and damage to infrastructure. The objective of this paper is to determine the effects of future climate variability on culvert selections in a southwest South Dakota watershed. The scope of the study was defined through a comprehensive literature review. Future climate events were based on a 20% increase in current annual precipitation over the Upper White River Subbasin Watershed. A portion of the White …

Low Complexity Polynomial Expansion Detector For Massive Mimo Uplink With Multiple-Antenna Users, An An Lu, Xiqi Gao, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a low complexity polynomial expansion (PE) detector for massive multi-input multi-output (MIMO) uplink transmissions is proposed. In contrast to most massive MIMO systems in the literature, where single-antenna user equipment's (UEs) are assumed, multiple-antenna UEs are employed in this paper. Furthermore, each link between a user and the base station forms a jointly correlated Rician fading channel. The PE detector reduces the complexity of the minimum mean square error (MMSE) detector by replacing the matrix inversion with an approximate matrix polynomial. In the design of the low complexity PE detector, the approximations of the moments of the …

Linear Precoding For The Mimo Multiple Access Channel With Finite Alphabet Inputs And Statistical Csi, Yongpeng Wu, Chao Kai Wen, Chengshan Xiao, Xiqi Gao, Robert Schober

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, we investigate the design of linear precoders for the multiple-input-multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider the problem under the practical finite alphabet input assumption. First, we derive an asymptotic (in the large system limit) expression for the weighted sum rate (WSR) of the MIMO MAC with finite alphabet inputs and Weichselberger's MIMO channel model. Subsequently, we obtain the optimal structures of the linear precoders of the users maximizing the asymptotic WSR and an iterative algorithm for determining the precoders. We show that …

An Efficient Linear Precoding Algorithm For Energy Harvesting Transmitter With Finite-Alphabet Inputs And Instantaneous Csi, Xiaodong Zhu, Weiliang Zeng, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates the precoder design in multiple-input multiple-output (MIMO) systems with energy harvester. The objective is to maximize the sum of mutual information (MI) over multiple time slots with causal knowledge of energy arrivals. Different from existing works, the system is considered with finite-alphabet inputs, and the transmitter is assumed to know not only the statistical channel state information (CSI) but also the instantaneous CSI of the current time slot at the beginning of each time slot. The optimal precoder design leads to an intractable multi- dimensional matrix optimization problem. We show that this difficult optimization problem can be …

Time-Domain Partial Element Equivalent Circuit Solver Including Non-Linear Magnetic Materials, Daniele Romano, Giulio Antonini, Albert E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

The PEEC solution of problems which include magnetic materials has recently been considered. Most of these solvers include linear magnetic material only. In this paper, we present a new PEEC solver including non-linear magnetic materials. A benchmark problem is presented in the time domain where the magnetic material operates in the non-linear region.