Open Access. Powered by Scholars. Published by Universities.®

Engineering Commons™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 66661 - 66690 of 197010

Full-Text Articles in Engineering

Estimating The Outer Ring Defect Size And Remaining Service Life Of Freight Railcar Bearings Using Vibration Signatures, Joseph Montalvo, Constantine Tarawneh, Jennifer Lima, Jonas Cuanang, Nancy De Los Santos Jul 2019

Estimating The Outer Ring Defect Size And Remaining Service Life Of Freight Railcar Bearings Using Vibration Signatures, Joseph Montalvo, Constantine Tarawneh, Jennifer Lima, Jonas Cuanang, Nancy De Los Santos

Mechanical Engineering Faculty Publications

The railroad industry currently utilizes two wayside detection systems to monitor the health of freight railcar bearings in service: The Trackside Acoustic Detection System (TADS™) and the wayside Hot-Box Detector (HBD). TADS™ uses wayside microphones to detect and alert the conductor of high-risk defects. Many defective bearings may never be detected by TADS™ since a high-risk defect is a spall which spans more than 90% of a bearing’s raceway, and there are less than 20 systems in operation throughout the United States and Canada. Much like the TADS™, the HBD is a device that sits on the side of the …

Go to article

The Knowledge Development Box: An Overview, Kevin Delaney, Bernard Doherty, James Mc Mahon, William Coffey, Ger Nangle Jul 2019

The Knowledge Development Box: An Overview, Kevin Delaney, Bernard Doherty, James Mc Mahon, William Coffey, Ger Nangle

Other resources

Finance Act 2015 introduced the Knowledge Development Box (KDB). The broad objective of the KDB is to promote innovation and provide an incentive whereby profits arising from patented inventions, copyrighted software and certain other specific asset classes can effectively be taxed at a reduced rate of 6.25%.

Go to article

Bs News July/August Jul 2019

Bs News July/August

Building Services Engineering

No abstract provided.

Go to article

Distributed Fiber-Optic Pressure Sensor Based On Bourdon Tubes Metered By Optical Frequency-Domain Reflectometry, Chen Zhu, Yiyang Zhuang, Yizhen Chen, Rex E. Gerald Ii, Jie Huang Jul 2019

Distributed Fiber-Optic Pressure Sensor Based On Bourdon Tubes Metered By Optical Frequency-Domain Reflectometry, Chen Zhu, Yiyang Zhuang, Yizhen Chen, Rex E. Gerald Ii, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We report a distributed fiber-optic pressure sensor based on Bourdon tubes using Rayleigh backscattering metered by optical frequency-domain reflectometry (OFDR). In the proposed sensor, a piece of single-mode fiber (SMF) is attached to the concave surfaces of Bourdon tubes using a thin layer of epoxy. The strain profiles along the concave surface of the Bourdon tube vary with applied pressure, and the strain variations are transferred to the attached SMF through the epoxy layer, resulting in spectral shifts in the local Rayleigh backscattering signals. By monitoring the local spectral shifts of the OFDR system, the pressure applied to the Bourdon …

Go to article

A Set-Theoretic Model Reference Adaptive Control Architecture With Dead-Zone Effect, Ehsan Arabi, Tansel Yucelen Jul 2019

A Set-Theoretic Model Reference Adaptive Control Architecture With Dead-Zone Effect, Ehsan Arabi, Tansel Yucelen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

By introducing a system error dependent learning rate, the recently proposed set-theoretic model reference adaptive control architecture provides user-defined worst-case performance guarantees on the system error between an uncertain dynamical system of interest and a given reference model. In this architecture, the adaptation process is always active. However, it is of practical interest to stop the adaptation process when it is not needed (i.e., in the presence of small system errors). Motivated from this standpoint, we present a new set-theoretic model reference adaptive control architecture with dead-zone effect. The key feature of our framework utilizes a modified and continuous generalized …

Go to article

Active-Passive Dynamic Consensus Filters For Linear Time-Invariant Multiagent Systems, J. Daniel Peterson, Tansel Yucelen, S. Jagannathan Jul 2019

Active-Passive Dynamic Consensus Filters For Linear Time-Invariant Multiagent Systems, J. Daniel Peterson, Tansel Yucelen, S. Jagannathan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Active-passive dynamic consensus filters consist of a group of agents, where a subset of these agents is able to observe a quantity of interest (i.e. active agents) and the rest are subject to no observations (i.e. passive agents). Specifically, the objective of these filters is that the states of all agents are required to converge to the weighted average of the set of observations sensed by the active agents. Existing active-passive dynamic consensus filters in the classical sense assume that all agents can be modeled as having single integrator dynamics, which may not always hold in practice. Motivating from this …

Go to article

Stabilization Of Homoclinic Orbits Of Two Degree-Of-Freedom Underactuated Systems, Nilay Kant, Ranjan Mukherjee, Hassan K. Khalil Jul 2019

Stabilization Of Homoclinic Orbits Of Two Degree-Of-Freedom Underactuated Systems, Nilay Kant, Ranjan Mukherjee, Hassan K. Khalil

Mechanical and Aerospace Engineering Faculty Research & Creative Works

A hybrid controller for stabilization of homoclinic orbits of two degree-of-freedom (DOF) underactuated systems is proposed. The controller is comprised of continuous-time inputs, impulsive brakings, and virtual impulsive inputs for resetting of the passive coordinate. Impulsive brakings of the active coordinate result in instantaneous negative changes in the mechanical energy of the system. An impulsive dynamical system framework is adopted for modeling the hybrid dynamics and a Lyapunov function is defined for stabilization of the orbit. Sufficient conditions for stabilization are presented such that the Lyapunov function decreases monotonically under the action of the continuous inputs and undergoes negative jumps …

Go to article

Event-Triggered Adaptive Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen Jul 2019

Event-Triggered Adaptive Distributed State Estimation By Using Active-Passive Sensor Networks, Akhilesh Raj, S. Jagannathan, Tansel Yucelen

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes a novel event-triggered adaptive observer for each node in the heterogeneous sensor networks (HSNs) in order to estimate state vector of an unknown target or process by using the sensed output when the input to the target/ process is unknown. A subset of nodes in the HSN referred to as active nodes, can sense the target periodically, estimate the target state vector by using their adaptive observer and can communicate the estimated state vector of the target with the neighboring nodes including passive nodes only at event triggered instants. The adaptive observer parameters of active nodes are …

Go to article

Switching Dynamics And Conductance Quantization Of Aloe Polysaccharides-Based Device, Z. X. Lim, I. A. Tayeb, Z. A.A. Hamid, M. F. Ain, A. M. Hashim, J. M. Abdullah, F. Zhao, K. Y. Cheong Jul 2019

Switching Dynamics And Conductance Quantization Of Aloe Polysaccharides-Based Device, Z. X. Lim, I. A. Tayeb, Z. A.A. Hamid, M. F. Ain, A. M. Hashim, J. M. Abdullah, F. Zhao, K. Y. Cheong

Electrical and Computer Engineering Faculty Research & Creative Works

The switching behaviors of polysaccharides-based resistive random-access memories change substantially depending on the electrical inputs. Here, the switching dynamics of the device are presented by varying the applied current compliance (CC) and voltage sweeping rate (ν). The results show that the device resistance in the low-resistance state (RLRS) can be modulated over five orders of magnitude by varying (CC) and ν in the typical current-voltage measurements. The (RLRS) modulation is attributed to the variable tunneling gap between the filament tip and the top electrode (TE). Conductance quantization is observed once a single-atomic contact with resistance ≤12.9kΩ is formed. Depending on …

Go to article

Fully Adaptive Cloud Profiling Radar Simulation, J. Delong, M. A. Shattal, A. O'Brien, C. D. Ball, J. T. Johnson, G. E. Smith Jul 2019

Fully Adaptive Cloud Profiling Radar Simulation, J. Delong, M. A. Shattal, A. O'Brien, C. D. Ball, J. T. Johnson, G. E. Smith

Electrical and Computer Engineering Faculty Research & Creative Works

This paper demonstrates how the fully adaptive radar framework can be applied to cloud profiling radars. A simulation based on the GEOS5 nature run dataset is introduced in which the cloud profiling radar continuously adapts its pulse repetition frequency (PRF) such that the unambiguous range is 1.2 times the cloud column height. This process maximizes the (PRF) which would in turn maximize the unambiguous velocity estimate.

Go to article

Stochastic Resonance Enables Bpp/Log∗ Complexity And Universal Approximation In Analog Recurrent Neural Networks, Emmett Redd, A. Steven Younger, Tayo Obafemi-Ajayi Jul 2019

Stochastic Resonance Enables Bpp/Log∗ Complexity And Universal Approximation In Analog Recurrent Neural Networks, Emmett Redd, A. Steven Younger, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

Stochastic resonance (SR) is a natural process that without limit increases the precision of signal measurements in biological and physical sciences. Most artificial neural networks (NNs) are implemented on digital computers of fixed precision. A NN accessing universal approximation and a computational complexity class more powerful that of a Turing machine needs analog signals utilizing SR's limitless precision increase. This paper links an analog recurrent (AR) NN theorem, SR, BPP/log∗ (a physically realizable, super-Turing computation class), and universal approximation so NNs following them can be made computationally more powerful. An optical neural network mimicking chaos indicates super-Turing computation has been …

Go to article

Recurrent Network And Multi-Arm Bandit Methods For Multi-Task Learning Without Task Specification, Thy Nguyen, Tayo Obafemi-Ajayi Jul 2019

Recurrent Network And Multi-Arm Bandit Methods For Multi-Task Learning Without Task Specification, Thy Nguyen, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper addresses the problem of multi-task learning (MTL) in settings where the task assignment is not known. We propose two mechanisms for the problem of inference of task's parameter without task specification: parameter adaptation and parameter selection methods. In parameter adaptation, the model's parameter is iteratively updated using a recurrent neural network (RNN) learner as the mechanism to adapt to different tasks. For the parameter selection model, a parameter matrix is learned beforehand with the task known apriori. During testing, a bandit algorithm is utilized to determine the appropriate parameter vector for the model on the fly. We explored …

Go to article

Multi-Objective Optimization Approach To Find Biclusters In Gene Expression Data, Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi Jul 2019

Multi-Objective Optimization Approach To Find Biclusters In Gene Expression Data, Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

Gene expression levels of organisms are measured by DNA microarrays. Finding biclusters in gene expression matrices provides invaluable information about effects of disease at the genetic level. These biclusters could identify which genes are up-regulated/down-regulated under certain conditions. This paper investigates a methodology for evolutionary-based biclustering using the NSGA-II algorithm. It also presents an improvement to the recovery and relevance external validation metrics as well as a new method for synthetic data generation for biclustering. Results obtained demonstrate its effectiveness in discovering useful biclusters on varied synthetic data when applied with the average Spearman's rho measure as the fitness function.

Go to article

Impedance Mismatch Effects In Microstrip And Stripline Ebg Common-Mode Filters, Marina Y. Koledintseva, Sergiu Radu, Joe Nuebel Jul 2019

Impedance Mismatch Effects In Microstrip And Stripline Ebg Common-Mode Filters, Marina Y. Koledintseva, Sergiu Radu, Joe Nuebel

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, impedance mismatch effects on the characteristics of common-mode (CM) electromagnetic bandgap (EBG) filters are studied using 3D full-wave numerical simulations. Herein, the terminations are fixed at 50 Ohms, and the effect of the differential line impedance variations are studied. Two types of CM EBG filters are considered in this work, both are designed using standard printed circuit board technology. The first group contains microstrip (MS) differential pairs running above the EBG plane, and the second group contains strip line (SL) differential pairs running on one of the layers next to the EBG plane. It is shown that …

Go to article

Genotype Combinations Linked To Phenotype Subgroups In Autism Spectrum Disorders, Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi Jul 2019

Genotype Combinations Linked To Phenotype Subgroups In Autism Spectrum Disorders, Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper investigates a computational model that allows for systematic comparison of phenotype data with genotype (Single Nucleotide Polymorphisms (SNPs)) data based on machine learning techniques to identify discriminant genotype markers associated with the phenotypic subgroups. The proposed discriminant SNP identifier model is empirically evaluated using Autism Spectrum Disorder (ASD) simplex sample. Six phenotype markers were selected to cluster the sample in a hexagonal lattice format yielding five multidimensional subgroups based on extremities of the phenotype markers. The SNP selection model includes random subspace selection of SNPs in conjunction with feature selection algorithms to determine which set of SNPs were …

Go to article

Bioprinting With Human Stem Cell-Laden Alginate-Gelatin Bioink And Bioactive Glass For Tissue Engineering, Krishna C. R. Kolan, Julie A. Semon, Bradley Bromet, D. E. Day, Ming-Chuan Leu Jul 2019

Bioprinting With Human Stem Cell-Laden Alginate-Gelatin Bioink And Bioactive Glass For Tissue Engineering, Krishna C. R. Kolan, Julie A. Semon, Bradley Bromet, D. E. Day, Ming-Chuan Leu

Biological Sciences Faculty Research & Creative Works

Three-dimensional (3D) bioprinting technologies have shown great potential in the fabrication of 3D models for different human tissues. Stem cells are an attractive cell source in tissue engineering as they can be directed by material and environmental cues to differentiate into multiple cell types for tissue repair and regeneration. In this study, we investigate the viability of human adipose-derived mesenchymal stem cells (ASCs) in alginate-gelatin (Alg-Gel) hydrogel bioprinted with or without bioactive glass. Highly angiogenic borate bioactive glass (13-93B3) in 50 wt% is added to polycaprolactone (PCL) to fabricate scaffolds using a solvent-based extrusion 3D bioprinting technique. The fabricated scaffolds …

Go to article

Local Receptive Fields Based Extreme Learning Machine With Hybrid Filter Kernels For Image Classification, Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse Jul 2019

Local Receptive Fields Based Extreme Learning Machine With Hybrid Filter Kernels For Image Classification, Bo He, Yan Song, Yuemei Zhu, Qixin Sha, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper, an Innovative Method Called Extreme Learning Machine with Hybrid Local Receptive Fields (Elm-Hlrf) is Presented for Image Classification. in This Method, Filters Generated by Gabor Functions and the Randomly Generated Convolution Filters Are Incorporated into the Convolution Filter Kernels of Local Receptive Fields based Extreme Learning Machine (Elm-Lrf). Extreme Learning Machine (Elm) is Derived from Single Hidden Layer Feed-Forward Neural Networks, and the Parameters of its Hidden Layer Can Be Generated Randomly. as Locally Connected Elm, Elm-Lrf Directly Processes Information with Strong Correlations Such as Images and Speech. in This Paper, Two Main Contributions Are Proposed to …

Go to article

Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan Jul 2019

Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Computing and Information Systems

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the participation decision and working-hour decision, and evaluation of the impacts of hourly income rate on labor supply becomes important. In this paper, we propose an econometric framework with closed-form measures to estimate both the participation elasticity (i.e., extensive margin elasticity) and working-hour elasticity (i.e., intensive margin elasticity) of labor supply. We model the sample …

Go to article

Load Distribution Of A Prestressed Self-Consolidating Concrete Bridge, Eli S. Hernandez, John J. Myers Jul 2019

Load Distribution Of A Prestressed Self-Consolidating Concrete Bridge, Eli S. Hernandez, John J. Myers

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Bridge A7957 is the first Missouri Department of Transportation (MoDOT) large-scale project using self-consolidating concrete (SCC) and high-strength self-consolidating concrete (HS-SCC). The objective of this research was to monitor the initial in-service behavior of the precast-prestressed concrete primary elements of Bridge A7957 and to obtain the load distribution of the bridge using field and finite element models (FEM) data. An initial series of diagnostic load tests was conducted on the bridge superstructure. Embedded sensors recorded strain variations at different section of the instrumented girders for different load configurations. An automated total station (ATS) collected the vertical deflection of the girders …

Go to article

The Gouda, The Bad, And The Ugly: Prioritizing Intersections For Pedestrian Safety In Tillamook, Or With Different Risk Estimation Methods, Kelly M. White Jul 2019

The Gouda, The Bad, And The Ugly: Prioritizing Intersections For Pedestrian Safety In Tillamook, Or With Different Risk Estimation Methods, Kelly M. White

Civil and Environmental Engineering Master's Project Reports

The following report explores five different pedestrian risk estimation methods at urban intersections. Six study intersections in Tillamook, Oregon were chosen as a case study to analyze each risk estimation method and apply the values to a project prioritization process. Ultimately, risk factors of both exposure and infrastructure contribute to the highest amount of risk for pedestrians. The Oregon Department of Transportation's State Planning and Research Report 779 was identified as the most comprehensive risk estimation method.

Go to article

Test Setup Design And Cyclic Evaluation Of Rocking Clt Wall And Floor Restoring Force Lateral System, Aaron Davis Smith Jul 2019

Test Setup Design And Cyclic Evaluation Of Rocking Clt Wall And Floor Restoring Force Lateral System, Aaron Davis Smith

Civil and Environmental Engineering Master's Project Reports

The introduction of the demand for mass timber buildings in areas with seismic hazards has called for new lateral systems. Lateral systems in mass timber building typically utilize a rocking shear wall with post-tensioned rods to provide system re-centering. These post-tensioned rods add axial load to the shear wall and potentially endure long term creep affects. Mass Timber buildings consist of cross laminated (clt) shear walls and floor slabs along with glulam beams. The flexural capacity of the CLT floor slabs along with dead load can provide an alternative source for the restoring force. This project developed a test setup …

Go to article

Travel Behaviors Of Persons With Intellectual And Developmental Disabilities, Joseph C. Totten Jul 2019

Travel Behaviors Of Persons With Intellectual And Developmental Disabilities, Joseph C. Totten

Civil and Environmental Engineering Master's Project Reports

People with intellectual and developmental disabilities live different lives than the general population. Often prohibited from driving, persons with intellectual disabilities cite transportation as top concern, limiting their independence and freedom to live, work or recreate where and when they choose. Improving services for persons with developmental disabilities requires that engineers and planners understand how persons with intellectual disabilities travel, and what types of transportation are available to them. This report hopes to identify the availability of transportation options to persons with developmental disabilities such that planners, engineers and advocates can determine how altering the transportation system might affect persons’ …

Go to article

Optimal Conditions For Measuring Ignition Quality In Non-Engine Tests, Ashley Hatzenbihler Jul 2019

Optimal Conditions For Measuring Ignition Quality In Non-Engine Tests, Ashley Hatzenbihler

Master's Theses (2009 -)

Experiments and simulation work were conducted to explore the conditions that influence ignition events in a constant volume environment. Experiments were conducted in a Fuel Ignition Tester, produced by CFR Engines, Inc., and in a prototype combustion chamber to observe the combustion of diesel fuels and primary reference fuels. These experiments attempted to isolate experimental conditions that would provide repeatable pressure measurements. These experiments showed that the fuel spray properties and the environmental conditions, such as initial temperature and initial pressure, are significantly influential in these results. Simulation work was conducted in Converge 2.2.0 to explore these conditions further. The …

Go to article

Design And Evaluation Of A Novel Ankle Joint For An Ankle Foot Orthosis For Individuals With Drop-Foot, Eileen Maya Baker Jul 2019

Design And Evaluation Of A Novel Ankle Joint For An Ankle Foot Orthosis For Individuals With Drop-Foot, Eileen Maya Baker

Master's Theses (2009 -)

Individuals who have had a stroke often ambulate with an ankle foot orthosis (AFO) to treat drop-foot, a common impairment preventing active ankle dorsiflexion. AFOs limit ankle plantarflexion or drop-foot, but also restrict ankle motion that introduces additional gait pathologies during ambulation. The goal of this study was to design a mechanical ankle joint for an articulated thermoplastic AFO to permit enhanced motion during stance. This novel ankle joint operated in two stages: 1) locked during swing to prevent drop-foot and 2) unlocked during stance to allow motion. This novel ankle joint was first tested with able-bodied subjects to ensure …

Go to article

Investigation Of Surface Topology Effects On Metal Flow Of Aluminum And Steel During Hot Compression, Andrew Richard Matcha Jul 2019

Investigation Of Surface Topology Effects On Metal Flow Of Aluminum And Steel During Hot Compression, Andrew Richard Matcha

Master's Theses (2009 -)

An investigation was conducted to study the effect of die surface roughness and lay on metal flow and the friction factor under lubricated hot compression. 6061-T6 aluminum and AISI 1018 steel rings and rectangular bar stock workpieces were compressed on H-13 tool steel platens of varying roughnesses ranging from Ra 0.25 – 6.1 µm (10 – 240 µin). Each platen was machined in such a way to ensure that the surface roughness would be unidirectional. Platen temperatures of 149 °C and 204 °C (300 °F and 400 °F) were used for all aluminum ring samples whereas platen temperatures ranging from …

Go to article

Automated Shaped Charge Design: Applying Dakota Optimization To Cth Kinetic Energy Results, Sebastian Arcangelo Konewko Jul 2019

Automated Shaped Charge Design: Applying Dakota Optimization To Cth Kinetic Energy Results, Sebastian Arcangelo Konewko

Master's Theses (2009 -)

Advances in computational power present an opportunity to further optimize the design of an engineered energetic system. This work presents the application of a proposed optimization scheme which combines the shock-physics hydrocode CTH with the DAKOTA optimization package to automate shaped-charge jet design. The formation of an explosively driven hypervelocity jet is highly dependent on the original shaped charge liner geometry. By parameterizing this geometry, and by developing a characteristic objective function from CTH simulations, a process can be established where the Dakota code iteratively builds an optimal shaped charge. This work attempts to use this methodology to reproduce a …

Go to article

Effects Of Radiation And Egr On Pollutant Formation In High-Pressure Constant Volume Spray Combustion, Khaled Mosharraf Mosharraf Mukut Jul 2019

Effects Of Radiation And Egr On Pollutant Formation In High-Pressure Constant Volume Spray Combustion, Khaled Mosharraf Mosharraf Mukut

Master's Theses (2009 -)

Soot formation is a complex process and the actual soot formation methodology is still a mystery. Numerically modeling of soot requires successful coupling of turbulence, chemistry and radiation modeling. In the present study, a comprehensive sensitivity study is conducted to see the effect of radiation and exhaust gas recirculation (EGR) on soot and NOX formation in a high pressure spray combustion scenario. The spray-A case (n-dodecane as fuel) from Engine Combustion Network (ECN) is used as the target condition. Two different soot modeling approaches have been considered: a semi-empirical two-equation model and a method of moments with interpolative closure (MOMIC). …

Go to article

Detecting Invasive Insects Using Unmanned Aerial Vehicles, Brian Stumph Jul 2019

Detecting Invasive Insects Using Unmanned Aerial Vehicles, Brian Stumph

Master's Theses (2009 -)

A key aspect to controlling and reducing the effects invasive insect species have on agriculture is to obtain knowledge about the migration patterns of these species. Current state-of-the-art methods of studying these migration patterns involve a mark-release-recapture technique, in which insects are released after being marked and researchers attempt to recapture them later. However, this approach involves a human researcher manually searching for these insects in large fields and results in very low recapture rates. This thesis proposes an automated system for detecting released insects using an unmanned aerial vehicle. Our system utilizes ultraviolet lighting technology, digital cameras, and lightweight …

Go to article

Analysis Of Bjt Colpitts Oscillators - Empirical And Mathematical Methods For Predicting Behavior, Nicholas Jon Stave Jul 2019

Analysis Of Bjt Colpitts Oscillators - Empirical And Mathematical Methods For Predicting Behavior, Nicholas Jon Stave

Master's Theses (2009 -)

Oscillator circuits perform two fundamental roles in wireless communication –the local oscillator for frequency shifting and the voltage-controlled oscillator formodulation and detection. The Colpitts oscillator is a common topology used for theseapplications. Because the oscillator must function as a component of a larger system, theability to predict and control its output characteristics is necessary. Textbooks treating thecircuit often omit analysis of output voltage amplitude and output resistance and theliterature on the topic often focuses on gigahertz-frequency chip-based applications.Without extensive component and parasitics information, it is often difficult to makesimulation software predictions agree …

Go to article

Simulating The Impact Of Traffic Calming Strategies, Deo Chimba, Christian Mbuya Jun 2019

Simulating The Impact Of Traffic Calming Strategies, Deo Chimba, Christian Mbuya

Transportation Research Center Reports

This study assessed the impact of traffic calming measures to the speed, travel times and capacity of residential roadways. The study focused on two types of speed tables, speed humps and a raised crosswalk. A moving test vehicle equipped with GPS receivers that allowed calculation of speeds and determination of speed profiles at 1s intervals were used. Multi-regime model was used to provide the best fit using steady state equations; hence the corresponding speed-flow relationships were established for different calming scenarios. It was found that capacities of residential roadway segments due to presence of calming features ranged from 640 to …

Go to article

First Prev Next Last