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Articles 86071 - 86100 of 197010

Full-Text Articles in Engineering

Prediction Of Electric Vehicle Penetration, Florida Solar Energy Center, David L. Block May 2017

Prediction Of Electric Vehicle Penetration, Florida Solar Energy Center, David L. Block

FSEC Energy Research Center®

The object of this report is to present the current market status of plug-in-electric vehicles (PEVs) and to predict their future penetration within the world and U.S. markets. The sales values for 2016 show a strong year of PEV sales both in the world and the U.S. China leads in yearly sales at 316,800 (a 53% increase for 2016 from 2015) followed by Western Europe at 209,300 vehicles sold. The U.S. is third at 159,600. These three regions comprise 91% of the global sales market. The world total of PEV sales for 2016 is estimated to be 756,000 up from …

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Introductory Chapter: Recent Advances, Adel El-Shahat May 2017

Introductory Chapter: Recent Advances, Adel El-Shahat

Electrical & Computer Engineering: Faculty Publications

Chapter Excerpt: This book proposes the most important researches in electrical resistivity and conductivity modeling, measurement, estimation and sensing methods, and implications. Electrical conductivity and electrical resistivity are very important properties for different materials. The goal of the book achieved via presenting new and modern case studies for sensing methods of electrical resistivity, resistivity modeling of frozen soil, measurement of the electrical resistivity for unconventional structures, estimation of hydrological parameters from geoelectric measurements, and assessment of cryoprotectant concentration by electrical conductivity measurement. It presents different methods to measure resistivity for both liquid and solid materials by explaining two, three, and …

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Profiling The Neurovascular Cell Interactions In Alcohol Exposure And Hiv-1 Infection, Agnieszka Agas May 2017

Profiling The Neurovascular Cell Interactions In Alcohol Exposure And Hiv-1 Infection, Agnieszka Agas

Theses

Alcohol use is known to exacerbate the progression of human immunodeficiency virus associated acquired immunodeficiency syndrome or HIV/AIDS in the brain, known as the NeuroAIDS. The mechanisms of this accelerated progression are still poorly understood. The purpose of my thesis is to review the parameters contributing to the co-morbid effects of alcohol in the progression of NeuroAIDS. The first aim will evaluate the exacerbating effects of alcohol on HIV-1 transmission, infection, and the role of metabolic energy imbalance during NeuroAIDS progression, which will enable me to formulate the possible mechanism for NeuroAIDS progression. The second aim will help me establish …

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Iii-Nitride Nanowire Light-Emitting Diodes: Design And Characterization, Dipayan Datta Choudhary May 2017

Iii-Nitride Nanowire Light-Emitting Diodes: Design And Characterization, Dipayan Datta Choudhary

Theses

III-nitride semiconductors have been intensively studied for optoelectronic devices, due to the superb advantages offered by this materials system. The direct energy bandgap III-nitride semiconductors can absorb or emit light efficiently over a broad spectrum, ranging from 0.65 eV (InN) to 6.4 eV (AlN), which encompasses from deep ultraviolet to near infrared spectrum. However, due to the lack of native substrates, conventional III-nitride planar heterostructures generally exhibit very high dislocation densities that severely limit the device performance and reliability. On the other hand, nanowire heterostructures can be grown on lattice mismatched substrates with drastically reduced dislocation densities, due to highly …

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Experimental Study Of Bubble Rupture During Shock-Fluid Interaction, Subhalakshmi Chandrasekaran May 2017

Experimental Study Of Bubble Rupture During Shock-Fluid Interaction, Subhalakshmi Chandrasekaran

Theses

Head injuries are associated with exposure to high energy explosive detonation. There are four distinct types of blast induced neurotrauma (BINT): 1) these caused by supersonic shock waves propagating in the atmosphere (primary), 2) high velocity impact of shrapnel and debris (secondary) 3) acceleration and deceleration of the body and collision with the solid objects in the field (tertiary) and 4) exposure to high temperature and toxic gases (quaternary). One of the mechanisms implicated in non-impact primary blast-induced traumatic brain injury (bTBI) is cavitation. It is hypothesized that cavitation can occur in the cerebrospinal fluid (CSF) layer, brain interstitial fluid, …

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Multi-Population-Based Differential Evolution Algorithm For Optimization Problems, Ishani Chatterjee May 2017

Multi-Population-Based Differential Evolution Algorithm For Optimization Problems, Ishani Chatterjee

Theses

A differential evolution (DE) algorithm is an evolutionary algorithm for optimization problems over a continuous domain. To solve high dimensional global optimization problems, this work investigates the performance of differential evolution algorithms under a multi-population strategy. The original DE algorithm generates an initial set of suitable solutions. The multi-population strategy divides the set into several subsets. These subsets evolve independently and connect with each other according to the DE algorithm. This helps in preserving the diversity of the initial set. Furthermore, a comparison of combination of different mutation techniques on several optimization algorithms is studied to verify their performance. Finally, …

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Undersampling Ga-Svm For Network Intrusion Detection, Zhenyu He May 2017

Undersampling Ga-Svm For Network Intrusion Detection, Zhenyu He

Theses

Network intrusion detection is one of the hottest issues in the world. An increasing number of researchers and engineers deal with this problem by using machine learning methods. However, how to improve the identification accuracy of all the attack classes remains unsolved since the dataset is an imbalanced one with high imbalance ratio. This thesis work intends to build a classifier to achieve high classification accuracy. It proposes an undersampling Genetic Algorithm-Support Vector Machine (GA-SVM) method to handle this problem. It applies an undersampling method in GA-SVM. To solve the multiclassification problem with a binary classifier, this work proposes to …

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Nanocomposite Thermite Powders With Improved Flowability Prepared By Mechanical Milling, Ci Huang May 2017

Nanocomposite Thermite Powders With Improved Flowability Prepared By Mechanical Milling, Ci Huang

Theses

Nanocomposite thermite powders are of interest to develop varieties of reactive parts and components. Manufacturing these components requires tailoring properties of the thermite powders such as their particle size distributions, particle shapes, and powder flowability. For example, an improved flowability is desired to use these powders as feedstock in additive manufacturing. Arrested reactive milling (ARM) offers a versatile and practical approach for preparing various nanocomposite thermites with fully dense particles, which will retain their structures and mixedness between reactive components while being stored, handled, and processed. However, ARM products usually have broad particle size distributions, rock-like particle shapes, and poor …

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Rca: Use And Future Possibilities, Bushra Marium Islam May 2017

Rca: Use And Future Possibilities, Bushra Marium Islam

Theses

Reuse and recycling of concrete is essential for construction purposes. There has been progressive development in construction projects but at the same time it has an inverse effect on the environment. Concrete structures are built and demolished continuously all over the world, generating tons of waste materials which are actually reusable in concrete production itself. This paper emphasis on recycled concrete aggregate (RCA) and many characteristics of RCA. This paper studies RCA’s different properties. RCA’s replacement in the place of natural aggregate is discussed. The proper amount and researches done on RCA improvement have also been discussed for further in …

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Thermal Swing Membrane Based Method For Co2 Capture From Flue Gas, Mukesh Kumar Kamad May 2017

Thermal Swing Membrane Based Method For Co2 Capture From Flue Gas, Mukesh Kumar Kamad

Theses

Carbon dioxide, a greenhouse gas and a major contributor to global warming, is released in large amounts by flue gases. To limit climate change, such CO2 emissions have to be reduced, CO2 captured and sequestered. Conventional monoethanolamine (MEA)-based absorption techniques are costly due to high capital cost and high energy consumption since the absorbent has to be regenerated at a high temperature ~ 120°C. A temperature swing membrane absorption (TSMAB) process was described by Mulukutla et al. (2015) using a novel membrane contactor, novel absorbents and a cyclic process. In this device, the absorbent is on the shell …

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Corrosion Studies Of Stainless Steel Blades, Dhruv S. Kothari May 2017

Corrosion Studies Of Stainless Steel Blades, Dhruv S. Kothari

Theses

Corrosion is a subject of interest to interdisciplinary research communities that includes fields of materials science, chemistry, physics, metallurgy and chemical engineering. In order to understand the mechanisms of corrosion and the function of corrosion inhibitors, the reactions at the interfaces between the corrosive electrolyte and a steel surface, particularly at the initial stages of the corrosion process, need to be described. Naturally, these reactions are strongly affected by the nature and properties of the steel surfaces. It is however seen that the majority of recent corrosion and corrosion-inhibition investigations are limited to electrochemical testing, with ex situ analysis of …

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Decision Tree Rule-Based Feature Selection For Imbalanced Data, Haoyue Liu May 2017

Decision Tree Rule-Based Feature Selection For Imbalanced Data, Haoyue Liu

Theses

A class imbalance problem appears in many real world applications, e.g., fault diagnosis, text categorization and fraud detection. When dealing with an imbalanced dataset, feature selection becomes an important issue. To address it, this work proposes a feature selection method that is based on a decision tree rule and weighted Gini index. The effectiveness of the proposed methods is verified by classifying a dataset from Santander Bank and two datasets from UCI machine learning repository. The results show that our methods can achieve higher Area Under the Curve (AUC) and F-measure. We also compare them with filter-based feature selection approaches, …

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Memorizing Chromic Response To Pressure, Maulik Kiritkumar Padh May 2017

Memorizing Chromic Response To Pressure, Maulik Kiritkumar Padh

Theses

Almost all appliances are prone to mechanical stress in one form or the other. An increasing dependence on machines in daily life calls for a need to increase their maintenance quality. Various materials, methods and configurations to observe mechanical pressure have been devised and this paper discusses one such technique. The use of gold nanoparticles in its one dimensional array causes plasmonic coupling between the nanoparticles, which when disrupted creates a plasmonic shift in its assembly. Such a film, when casted on a polymer with a known elastic limit, causes deformation by an application of stress. This forces the film …

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Field Oriented Control Of Permanent Magnet Synchronous Motor With Third-Harmonic Injection Pulse Width Modulation To Reduce Quadrotors’ Speed Ripples, Yuxi Shi May 2017

Field Oriented Control Of Permanent Magnet Synchronous Motor With Third-Harmonic Injection Pulse Width Modulation To Reduce Quadrotors’ Speed Ripples, Yuxi Shi

Theses

The world’s commercial unmanned aerial vehicle (UAV) industry has witnessed unprecedented boom in recent years. Delighted with an ample supply of this excellent high-tech product, global consumers are paying more attention on UAVs. Civilian UAVs now vastly outnumber military ones, with the estimate of over a million sold by 2016. An UAV has various degrees of autonomy as enabled by the use and precise control of motors. Traditional Direct Current (DC) motors are replaced by permanent magnet synchronous motors (PMSM) associated with the new power electronic inverters. Because of a PMSM’s higher power density than a DC motor, it reduces …

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Power Dissipation And Power Correlations For A Retreatblade Impeller Under Different Baffling Conditions, Chadakarn Sirasitthichoke May 2017

Power Dissipation And Power Correlations For A Retreatblade Impeller Under Different Baffling Conditions, Chadakarn Sirasitthichoke

Theses

Glass-lined stirred reactors and tanks are commonly used in the pharmaceutical industry because of their corrosion resistance, ease of cleanliness and minimization of product contamination. Most industrial glass-lined tank reactors are provided with a torispherical tank bottom and a retreat curve impeller with low impeller clearance from the vessel bottom. The power, P, dissipated by the impeller is a critical process parameter to mixing processes to achieve the desired mixing effect, especially since the power per unit volume, P/V, directly controls mass transfer processes and other mixing phenomena. However, little information has been published about the power dissipation and the …

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Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna May 2017

Preemptive Efficient Queueing For Scheduling Deadline-Bound Data Center Flows, Vinaykrishna Gopalakrishna

Theses

This thesis introduces a new deadline aware flow scheduling scheme called Preemptive Efficient Queuing (PEQ). Unlike other schemes which use policies like EDF, SJF or fair share, this scheme aims to procrastinate flows as much as they can afford to, while keeping with their deadlines. Thereby, PEQ prioritizes more urgent flows that have shorter time to procrastinate, or cushion time. Results of PEQ are compared with state-of-the-art schemes for the transport of data-center flows, such as Preemptive Distributed Quick (PDQ) and Deadline-Driven Delivery (D3). The results show that PEQ outperforms D3 and PDQ. We identify results …

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High Performance Lattice Boltzmann Method Yield-Stress Calculations Based On Intravital Images Of Clot Formation In Live Mice, Vishnu Deep Chandran May 2017

High Performance Lattice Boltzmann Method Yield-Stress Calculations Based On Intravital Images Of Clot Formation In Live Mice, Vishnu Deep Chandran

Theses

Thrombo-embolic infarction is the major cause of mortality and morbidity in the United States, causing over 1 million strokes, heart attacks and other life-threatening thrombotic events each year in the United States. Conversely, deficiencies in these processes result in severe bleeding risks. The ability to access hydrodynamics stresses at which thrombus structure is likely to embolize can provide insight into the thrombogenesis process. Interestingly, the viscoelastic behavior exhibited by the thrombus resembles that of a Bingham fluid - a material that behaves as a rigid body at low stresses but flows as a viscous fluid when the stress exceeds critical …

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Smart Polymeric Temperature Sensors – For Biological Systems, Greenee Anilkumar Sinha May 2017

Smart Polymeric Temperature Sensors – For Biological Systems, Greenee Anilkumar Sinha

Theses

The damaged brain is vulnerable to increase in brain temperature after a severe head injury. Continuous monitoring of intracranial temperature depicts functionality essential to the treatment of brain injury Many innovations have been made in the biomedical industry relying on electronic implants in treating condition such as traumatic brain injury (TBI) or other cerebral diseases. Hence, a methodical and reliable way to measure the temperature is crucial to assess the patient’s situation. In this investigation, an analysis of various approaches to detect the change in the temperature due to resistance, current-voltage characteristics with respect to time has been evaluated. Also, …

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A Fuzzy Logic-Based Text Classification Method For Social Media, Keyuan Wu May 2017

A Fuzzy Logic-Based Text Classification Method For Social Media, Keyuan Wu

Theses

Social media offer abundant information for studying people’s behaviors, emotions and opinions during the evolution of various rare events such as natural disasters. It is useful to analyze the correlation between social media and human-affected events. This study uses Hurricane Sandy 2012 related Twitter text data to conduct information extraction and text classification. Considering that the original data contains different topics, we need to find the data related to Hurricane Sandy. A fuzzy logic-based approach is introduced to solve the problem of text classification. Inputs used in the proposed fuzzy logic-based model are multiple useful features extracted from each Twitter’s …

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Measurement Of Finger Coordination During A Motor Learning Task, Robert Ebel May 2017

Measurement Of Finger Coordination During A Motor Learning Task, Robert Ebel

Theses

The focus of this study is to observe the changes in whole hand grasp strategy, in healthy subjects, over time in a series of isometric force control learning tasks. During a series of trials with real-time visual feedback of the five finger forces, subjects adapted their grasp strategy in order to reach the target in a time efficient manner. In early trials, it is very evident that subjects focus on controlling the force output of one finger at a time until they reach the goal. As the block of trials progresses, subjects alter their strategy to a more coordinated movement …

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Investigation Of Nh3 And No Adsorption Over Cu/Sapo-34 And Cu/Aloo3 Catalysts For Nh3–Scr System, Basil Rawah May 2017

Investigation Of Nh3 And No Adsorption Over Cu/Sapo-34 And Cu/Aloo3 Catalysts For Nh3–Scr System, Basil Rawah

Theses

In this study, Copper supported on SAPO-34 molecular sieves or alumina is prepared via an incipient wetness impregnation method for ammonia selective catalytic reduction (NH3-SCR). These NH3-SCR catalysts are characterized by pulse chemisorption, temperature-programmed reduction (TPR), and temperature-programmed desorption (TPD) with three different conditions (NH3, NO, combined NH3-NO) to evaluate the adsorption of ammonia and nitric oxide. Cu/SAPO-34 catalyst has shown higher ammonia adsorption capacity compared to Cu/Al2O3 catalyst. The Cu/SAPO-34 adsorption is enhanced due to the strong acidity and high surface area of SAPO-34 molecular sieves. NO adsorption …

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Walking Behavior Of Individuals With And Without Disabilities At Right-Angle Turning Facility, Nirdosh Gaire, Mohammad Sadra Sharifi, Keith M. Christensen, Anthony Chen, Ziqi Song May 2017

Walking Behavior Of Individuals With And Without Disabilities At Right-Angle Turning Facility, Nirdosh Gaire, Mohammad Sadra Sharifi, Keith M. Christensen, Anthony Chen, Ziqi Song

Civil and Environmental Engineering Faculty Publications

To accommodate the needs of pedestrians, urban designers need to carefully consider pedestrian walking behavior in different walking environments. Detailed studies of the walking behavior of pedestrians have been conducted and used for pedestrian simulation models. A right-angle turning facility (RATF) is found in many built environments. Hence the study of pedestrians' walking behavior in RATFs is important to build pedestrian simulation models. Previous studies have failed to address the walking behavior of individuals with visual and mobility disabilities even though they comprise a significant portion of the population in the United States. The purpose of this paper is to …

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Cell Attachment To Alginate Hydrogel Structures, Sarah Livingston, Dr. Alonzo Cook May 2017

Cell Attachment To Alginate Hydrogel Structures, Sarah Livingston, Dr. Alonzo Cook

Journal of Undergraduate Research

One of the most pressing needs within the medical community is the demand for transplantable organs. On average, 22 people per day on average die waiting for a transplant. Even if a patient receives an organ, the risks associated with the transplant are high, from the immunosuppressant drugs required to the risk of Graft-versus-host disease (GvHD). If organs could be engineered using a patient’s own cellular material, transplants could take place without the risk of GvHD or the need for immunosuppressants. One of the keys to creating any organ is first building a vascular network that could provide vital nutrients …

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Transportation Planning For Electric Vehicles And Associated Infrastructure, Florida Solar Energy Center, David L. Block May 2017

Transportation Planning For Electric Vehicles And Associated Infrastructure, Florida Solar Energy Center, David L. Block

FSEC Energy Research Center®

Planning is the key to successful adoption and deployment of any new technology, and it is particularly important when that advancement involves a paradigm shift such as electrified transportation. At its core, electric transportation is largely a technology deployment. The vehicles and supporting infrastructure are unique to this mode of transportation; requiring new and specific planning and policies to support their deployment. This EVTC project brings together these planning elements and their role in the future U.S. transportation network. The project results are presented in five planning related subject areas: (1) Identification of 14 of the 22 EVTC program topics …

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Off-Line Handwritten Signature Recognition By Wavelet Entropy And Neural Network, Khaled Daqrouq, Husam Sweidan, Ahmad Balamesh, Mohammed N. Ajour May 2017

Off-Line Handwritten Signature Recognition By Wavelet Entropy And Neural Network, Khaled Daqrouq, Husam Sweidan, Ahmad Balamesh, Mohammed N. Ajour

Michigan Tech Publications, Part 1

Handwritten signatures are widely utilized as a form of personal recognition. However, they have the unfortunate shortcoming of being easily abused by those who would fake the identification or intent of an individual which might be very harmful. Therefore, the need for an automatic signature recognition system is crucial. In this paper, a signature recognition approach based on a probabilistic neural network (PNN) and wavelet transform average framing entropy (AFE) is proposed. The system was tested with a wavelet packet (WP) entropy denoted as a WP entropy neural network system (WPENN) and with a discrete wavelet transform (DWT) entropy denoted …

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Measuring The Reflection Matrix Of A Rough Surface, Kenneth W. Burgi, Michael A. Marciniak, Mark E. Oxley, Stephen E. Nauyoks May 2017

Measuring The Reflection Matrix Of A Rough Surface, Kenneth W. Burgi, Michael A. Marciniak, Mark E. Oxley, Stephen E. Nauyoks

Faculty Publications

Phase modulation methods for imaging around corners with reflectively scattered light required illumination of the occluded scene with a light source either in the scene or with direct line of sight to the scene. The RM (reflection matrix) allows control and refocusing of light after reflection, which could provide a means of illuminating an occluded scene without access or line of sight. Two optical arrangements, one focal-plane, the other an imaging system, were used to measure the RM of five different rough-surface reflectors. Intensity enhancement values of up to 24 were achieved. Surface roughness, correlation length, and slope were examined …

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Pvdf-Trfe Electroactive Polymer Mechanical-To-Electrical Energy Harvesting Experimental Bimorph Structure, William G. Kaval, Robert A. Lake, Ronald A. Coutu Jr. May 2017

Pvdf-Trfe Electroactive Polymer Mechanical-To-Electrical Energy Harvesting Experimental Bimorph Structure, William G. Kaval, Robert A. Lake, Ronald A. Coutu Jr.

Faculty Publications

Research of electrostrictive polymers has generated new opportunities for harvesting energy from the surrounding environment and converting it into usable electrical energy. Electroactive polymer (EAP) research is one of the new opportunities for harvesting energy from the natural environment and converting it into usable electrical energy. Piezoelectric ceramic based energy harvesting devices tend to be unsuitable for low-frequency mechanical excitations such as human movement. Organic polymers are typically softer and more flexible therefore translated electrical energy output is considerably higher under the same mechanical force. In addition, cantilever geometry is one of the most used structures in piezoelectric energy harvesters, …

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Adaptive Screen Generation For Mobile Devices, Caoimhín O’Nualláin, Sam Redfern May 2017

Adaptive Screen Generation For Mobile Devices, Caoimhín O’Nualláin, Sam Redfern

The ITB Journal

When one looks at any learning software - eLearning based or not - one cannot sometims help but think why the authors could not have organized the screens (or the means of navigation) in a way similar to some other piece of software which the user has used or come accustomed to using. In this paper it is hoped to be able to achieve just that. That is, to accommodate the adaptive screen design by building up a profile about the user which can capture the learning styles of the user and personal preferences, and to be able to have …

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Voice Activated Command And Control With Speech Recognition Over Wireless Networks, Tony Ayres, Brian Nolan May 2017

Voice Activated Command And Control With Speech Recognition Over Wireless Networks, Tony Ayres, Brian Nolan

The ITB Journal

This paper presents work conducted to date on the development of a voice activated command and control framework specifically for the control of remote devices in a ubiquitous computing environment. The prototype device is a Java controlled Lego Mindstorm robot. The research considers three different scenario configurations. A recognition grammar for command and control of the robot has been created and implemented in Java, in part in the recognition engine and in part on the robot. The physical topology involves Java at each node endpoint, that is, at the handheld PC (iPaq), the PC workstation, the Linux server and onboard …

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Statistical Language Models For Graphical Object Recognition, Laura Keyes, Andrew O'Sullivan, Adam Winstanley May 2017

Statistical Language Models For Graphical Object Recognition, Laura Keyes, Andrew O'Sullivan, Adam Winstanley

The ITB Journal

This paper explores automatic recognition and semantic capture in vector graphics for graphical information systems. The low-level graphical content of graphical documents, such as a map or architectural drawing, are often captured manually and the encoding of the semantic content seen as an extension of this. The large quantity of new and archived graphical data available on paper makes automatic structuring of such graphical data desirable. A successful method for recognising text data uses statistical language models. This work will investigate and evaluate similar and adapted statistical models (Statistical Graphical Langauge Models, SGLM) to graphical languages based on the associations …

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