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Articles 1561 - 1590 of 10894
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Control Of A Three-Phase Grid-Connected Inverter Under Non-Ideal Grid Conditions With Online Parameter Update, Vikram Roy Chowdhury, Jonathan W. Kimball
Control Of A Three-Phase Grid-Connected Inverter Under Non-Ideal Grid Conditions With Online Parameter Update, Vikram Roy Chowdhury, Jonathan W. Kimball
Electrical and Computer Engineering Faculty Research & Creative Works
Three-phase grid-connected inverter modeling depends on the equivalent resistance and inductance between the inverter and the grid. However, these parameters are not fixed during the operation of the inverter and vary with the operating conditions. In this paper, a new globally stable adaptive controller is proposed to estimate these values online and update the controller during its operation. A model reference adaptive system (MRAS) based on two fictitious quantities with no physical significance is utilized, namely M = v · i∗ and N = v∗ x i, where v and i are the steady-state values of voltage and current in …
Discontinuous Galerkin Vs. Ie Method For Electromagnetic Scattering From Composite Metallic And Dielectric Structures, Y.-Y. Zhu, Q.-M. Cai, R. Zhang, X. Cao, Y.-W. Zhao, B. Gao, Jun Fan
Discontinuous Galerkin Vs. Ie Method For Electromagnetic Scattering From Composite Metallic And Dielectric Structures, Y.-Y. Zhu, Q.-M. Cai, R. Zhang, X. Cao, Y.-W. Zhao, B. Gao, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, an efficient volume surface integral equation (VSIE) method with nonconformal discretization is developed for the analysis of electromagnetic scattering from composite metallic and dielectric (CMD) structures. This VSIE scheme utilizes curved tetrahedral (triangular) elements for volume (surface) modeling and the associated CRWG (CSWG) basis functions for volume current (surface) current modeling. Further, a discontinuous Galerkin (DG) volume integral equation (VIE) method and a DG surface integral equation (SIE) approach are adopted for dielectric and metallic parts, respectively, which allow both conformal and nonconformal volume/surface discretization improving meshing flexibility considerably. Numerical results are provided to demonstrate the accuracy, …
Rare But Conceivable: Determining The Likelihood Of Meteors And Other Infrequent Events, Michael S. Schmidt, Maria Vega-Westhoff
Rare But Conceivable: Determining The Likelihood Of Meteors And Other Infrequent Events, Michael S. Schmidt, Maria Vega-Westhoff
Engineering Management and Systems Engineering Faculty Research & Creative Works
In the aftermath of a rare but devastating disaster, there is a tendency to overestimate how frequent such an event may be, hence a tendency to overestimate the risk associated with such an event. Those concerned with process safety will acknowledge that though rare, events like meteors, hurricanes, and airplane crashes that can impact chemical plants are conceivable. Typically, though, they have nothing more than feelings to decide whether these events are likely enough to be considered "credible." This compiles data from the literature for several "meteors," both natural and man-made, that often become a cause of general concern after …
Erratum: Searches For Gravitational Waves From Known Pulsars At Two Harmonics In 2015-2017 Ligo Data (Astrophysical Journal (2019) 879 (10) Doi: 10.3847/1538-4357/Ab20cb), B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Erratum: Searches For Gravitational Waves From Known Pulsars At Two Harmonics In 2015-2017 Ligo Data (Astrophysical Journal (2019) 879 (10) Doi: 10.3847/1538-4357/Ab20cb), B. P. Abbott, R. Abbott, T. D. Abbott, Marco Cavaglia, For Full List Of Authors, See Publisher's Website.
Physics Faculty Research & Creative Works
Due to an error at the publisher, in the published article the number of pulsars presented in the paper is incorrect in multiple places throughout the text. Specifically, "222" pulsars should be "221." Additionally, the number of pulsars for which we have EM observations that fully overlap with O1 and O2 changes from "168" to "167." Elsewhere, in the machine-readable table of Table 1 and in Table 2, the row corresponding to pulsar J0952-0607 should be excised as well. Finally, in the caption for Table 2 the number of pulsars changes from "188" to "187." IOP Publishing sincerely regrets this …
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Applications Of Supervised Machine Learning Algorithms In Additive Manufacturing: A Review, M. S. Joshi, Aaron Flood, Todd E. Sparks, Frank W. Liou
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Additive Manufacturing (AM) simplifies the fabrication of complex geometries. Its scope has rapidly expanded from the fabrication of pre-production visualization models to the manufacturing of end use parts driving the need for better part quality assurance in the additively manufactured parts. Machine learning (ML) is one of the promising techniques that can be used to achieve this goal. Current research in this field includes the use of supervised and unsupervised ML algorithms for quality control and prediction of mechanical properties of AM parts. This paper explores the applications of supervised learning algorithms - Support Vector Machines and Random Forests. Support …
The Effect Of Cell Size And Surface Roughness On The Compressive Properties Of Abs Lattice Structures Fabricated By Fused Deposition Modeling, Leah Mason, Ming-Chuan Leu
The Effect Of Cell Size And Surface Roughness On The Compressive Properties Of Abs Lattice Structures Fabricated By Fused Deposition Modeling, Leah Mason, Ming-Chuan Leu
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Researchers looking to improve the surface roughness of acrylonitrile butadiene styrene (ABS) parts fabricated by fused deposition modeling (FDM) have determined that acetone smoothing not only achieves improved surface roughness but increases compressive strength as well. However, the sensitivity of ABS parts to acetone smoothing has not been explored. In this study we investigated FDM-fabricated ABS lattice structures of various cell sizes subjected to cold acetone vapor smoothing to determine the combined effect of cell size and acetone smoothing on the compressive properties of the lattice structures. The acetone-smoothed specimens performed better than the as-built specimens in both compression modulus …
In-Situ Local Part Qualification Of Slm 304l Stainless Steel Through Voxel Based Processing Of Swir Imaging Data, Cody S. Lough, Xin Wang, Robert G. Landers, Douglas A. Bristow, James A. Drallmeier, Edward C. Kinzel
In-Situ Local Part Qualification Of Slm 304l Stainless Steel Through Voxel Based Processing Of Swir Imaging Data, Cody S. Lough, Xin Wang, Robert G. Landers, Douglas A. Bristow, James A. Drallmeier, Edward C. Kinzel
Mechanical and Aerospace Engineering Faculty Research & Creative Works
This paper demonstrates the potential for qualification through local part property prediction of 304L stainless steel parts manufactured by Selective Laser Melting (SLM). This is accomplished through voxel based processing of SWIR imaging data measured in-situ. Thermal features are extracted from time-series SWIR imaging data recorded from layer-to-layer to generate 3D point cloud reconstructions of parts. The voxel based data is indexed with localized measurements of SLM part properties (light-to-dark microstructural feature ratio, microhardness, μCT data) to demonstrate the correlations. Various features are extracted from the thermal history for comparison of their respective abilities to predict the resulting local part …
Image Data Analytics To Support Engineers’ Decision-Making, Tianyi Zhao, Zhaozheng Yin, Ruwen Qin, Genda Chen
Image Data Analytics To Support Engineers’ Decision-Making, Tianyi Zhao, Zhaozheng Yin, Ruwen Qin, Genda Chen
INSPIRE-UTC Annual Meetings
Robots such as drones have been leveraged to perform structure health inspection such as bridge inspection. Big data of inspection videos can be collected by cameras mounted on drones. In this project, we develop image analysis algorithms to support bridge engineers to analyze the big video data. Bridge engineers define the region of interest initially, then the algorithm retrieves all related regions in the video, which facilitates the engineers to inspect the bridge rather than exhaustively check every frame of the video. To perform this task, we propose a Multi-scale Siamese Neural Network. The network is initially trained by one-shot …
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
Synchro-Squeezed Adaptive Wavelet Transform And Its Application To Impact Echo Signals For Pavement Defect Detection, Hongya Qu, Titantian Li, Genda Chen
INSPIRE-UTC Annual Meetings
In this study, the recently-proposed adaptive wavelet transform (AWT) and synchro-squeezed adaptive wavelet transform (SSAWT) are introduced with their optimum transformation parameters automatically searched to derive at a desirable time-frequency representation of any dynamic response. The AWT enables the selectivity of time and frequency resolution in a domain of interest and the synchro-squeezing algorithm reduces the dispersion of a scalogram of the AWT, facilitating an accurate extraction of frequency features over time. The effectiveness of AWT is first demonstrated with an illustrative signal of four time segments covering various frequency distribution cases. In comparison with conventional wavelet transform, the AWT …
Dynamical Pruning Of The Non-Equilibrium Quantum Dynamics Of Trapped Ultracold Bosons, F. Köhler, K. Keiler, Simeon I. Mistakidis, H. D. Meyer, P. Schmelcher
Dynamical Pruning Of The Non-Equilibrium Quantum Dynamics Of Trapped Ultracold Bosons, F. Köhler, K. Keiler, Simeon I. Mistakidis, H. D. Meyer, P. Schmelcher
Physics Faculty Research & Creative Works
The Investigation Of The Nonequilibrium Quantum Dynamics Of Bosonic Many-Body Systems Is Very Challenging Due To The Excessively Growing Hilbert Space And Poses A Major Problem For Their Theoretical Description And Simulation. We Present A Novel Dynamical Pruning Approach In The Framework Of The Multiconfiguration Time-Dependent Hartree Method For Bosons (MCTDHB) To Tackle This Issue By Dynamically Detecting The Most Relevant Number States Of The Underlying Physical System And Modifying The Many-Body Hamiltonian Accordingly. We Discuss Two Different Number State Selection Criteria As Well As Two Different Ways To Modify The Hamiltonian. Our Scheme Regularly Re-Evaluates The Number State Selection …
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
Assessing Moisture Content On The Surface Of Mortar Samples From Hyperspectral Imaging, Liang Fan, Abdullah Alhaj, Hongyan Ma, Genda Chen
INSPIRE-UTC Annual Meetings
Hyperspectral imaging represents an electromagnetic spectrum for each pixel in the image of a structural surface. The characteristic wavelength of the spectrum at reflectance valleys or absorption peaks can be used as a spectral feature for certain chemical detection. In this study, spectral reflectance characteristics of mortar samples are extracted to assess the reduction of moisture on the surface of mortar samples during the cement hydration process. The test results indicate that the reflectance increases and the absorbance decreases because water is reacted and less light will be absorbed during the hydration process. The average absorbance between 1923 nm and …
9th International Conference On Structural Health Monitoring Of Intelligent Infrastructure (Smhii-9) Conference Program, Smhii-9
INSPIRE-UTC Annual Meetings
No abstract provided.
Transportation Planning For Automated Vehicles -- Or Automated Vehicles For Transportation Planning?, Shane Ray Epting
Transportation Planning For Automated Vehicles -- Or Automated Vehicles For Transportation Planning?, Shane Ray Epting
Arts, Languages and Philosophy Faculty Research & Creative Works
In recent years, philosophical examinations of automated vehicles have progressed far beyond initial concerns over the ethical decisions that pertain to programming in the event of a crash. In turn, this paper moves in that direction, focusing on the motivations behind efforts to implement driverless vehicles into urban settings. The author argues that the many perceived benefits of these technologies yield a received view of automated vehicles. This position holds that driverless vehicles can solve most if not all urban mobility issues. However, the problem with such an outlook is that it lends itself to transportation planning for automated vehicles, …
Strategic Gift Giving In Vendor Relationships: The Gift Of Cognitive Regard, Cecil Eng Huang Chua, Cheng Chen, Ji-Ye Mao
Strategic Gift Giving In Vendor Relationships: The Gift Of Cognitive Regard, Cecil Eng Huang Chua, Cheng Chen, Ji-Ye Mao
Business and Information Technology Faculty Research & Creative Works
Increasing competition in the IT vendor landscape means it is increasingly difficult for vendors to sustain themselves by competing on price. Thus, many vendors desire to become strategic partners with their clients to thereby acquire a secure monopoly-like position on IT services. How should vendors do so? We argue one way is via the strategic distribution of gifts. This research unpacks one particularly effective gift type- the gift of cognitive regard through a qualitative analysis of a client-vendor relationship. This gift type has five properties: (1) Known Effortfulness, (2) Deep cognitive understanding, (3) Inalienability, (4) Nontransferrability, and (5) Contract temporality …
Remote Sensing Of Explosives-Induced Stress In Plants: Hyperspectral Imaging Analysis For Remote Detection Of Unexploded Threats, Paul V. Manley, Vasit Sagan, Felix B. Fritschi, Joel Gerard Burken
Remote Sensing Of Explosives-Induced Stress In Plants: Hyperspectral Imaging Analysis For Remote Detection Of Unexploded Threats, Paul V. Manley, Vasit Sagan, Felix B. Fritschi, Joel Gerard Burken
Civil, Architectural and Environmental Engineering Faculty Research & Creative Works
Explosives contaminate millions of hectares from various sources (partial detonations, improper storage, and release from production and transport) that can be life-threatening, e.g., landmines and unexploded ordnance. Exposure to and uptake of explosives can also negatively impact plant health, and these factors can be can be remotely sensed. Stress induction was remotely sensed via a whole-plant hyperspectral imaging system as two genotypes of Zea mays, a drought-susceptible hybrid and a drought-tolerant hybrid, and a forage Sorghum bicolor were grown in a greenhouse with one control group, one group maintained at 60% soil field capacity, and a third exposed to …
Infrared Glass–Ceramics With Multidispersion And Gradient Refractive Index Attributes, Laura Sisken, Myungkoo Kang, Johann M. Veras, Charmayne Lonergan, Andrew Buff, Anupama Yadav, Devon Mcclane, Cesar Blanco, Clara Rivero-Baleine, Theresa S. Mayer, Kathleen A. Richardson
Infrared Glass–Ceramics With Multidispersion And Gradient Refractive Index Attributes, Laura Sisken, Myungkoo Kang, Johann M. Veras, Charmayne Lonergan, Andrew Buff, Anupama Yadav, Devon Mcclane, Cesar Blanco, Clara Rivero-Baleine, Theresa S. Mayer, Kathleen A. Richardson
Materials Science and Engineering Faculty Research & Creative Works
Infrared (IR) glass–ceramics (GCs) hold the potential to dramatically expand the range of optical material solutions available for use in bulk and planar optical systems in the IR. Current material solutions are limited to single- or polycrystalline materials and traditional IR-transparent optical glasses. GCs that can be processed with spatial control and extent of induced crystallization present the opportunity to realize an effective refractive index variation, enabling arbitrary gradient refractive index elements with tailored optical function. This work discusses the role of the parent glass composition and morphology on nanocrystal phase formation in a multicomponent chalcogenide glass. Through a two-step …
Probing Surface Characteristics Of Rare Earth Minerals Using Contact Angle Measurements, Atomic Force Microscopy, And Inverse Gas Chromatography, Mostafa Khodakarami, Lana Z. Alagha, Daniel J. Burnett
Probing Surface Characteristics Of Rare Earth Minerals Using Contact Angle Measurements, Atomic Force Microscopy, And Inverse Gas Chromatography, Mostafa Khodakarami, Lana Z. Alagha, Daniel J. Burnett
Mining Engineering Faculty Research & Creative Works
Rare earth minerals (REMs) such as bastnaesite, monazite, and xenotime are of considerable significance since they are the main commercial sources for rare earth elements (REEs) with cutting-edge applications. Fundamental understanding of surface properties of REMs is essential to identify the reactions taking place at different interfaces to develop more robust technologies for the recovery of REEs. The goal of this study is to provide a comprehensive investigation on the surface energy characteristics of bastnaesite and xenotime, as the primary sources of light and heavy rare earth elements, respectively. Crystal's orientation of REMs was identified using surface X-ray diffraction analysis, …
Pseudo-Periodic Natural Higgs Inflation, I. G. Marian, N. Defenu, Ulrich D. Jentschura, A. Trombettoni, I. Nandori
Pseudo-Periodic Natural Higgs Inflation, I. G. Marian, N. Defenu, Ulrich D. Jentschura, A. Trombettoni, I. Nandori
Physics Faculty Research & Creative Works
Inflationary cosmology represents a well-studied framework to describe the expansion of space in the early universe, as it explains the origin of the large-scale structure of the cosmos and the isotropy of the cosmic microwave background radiation. The recent detection of the Higgs boson renewed research activities based on the assumption that the inflaton could be identified with the Higgs field. At the same time, the question whether the inflationary potential can be extended to the electroweak scale and whether it should be necessarily chosen ad hoc in order to be physically acceptable are at the center of an intense …
Radiative Transfer Distortions Of Lyman Α Emitters: A New Fingers-Of-God Damping In The Clustering In Redshift Space, Chris Byrohl, Shun Saito, Christoph Behrens
Radiative Transfer Distortions Of Lyman Α Emitters: A New Fingers-Of-God Damping In The Clustering In Redshift Space, Chris Byrohl, Shun Saito, Christoph Behrens
Physics Faculty Research & Creative Works
Complex radiative transfer (RT) of the Lyman α photons poses a theoretical challenge to galaxy surveys that infer the large-scale structure with Lyman α emitters (LAEs). Guided by RT simulations, prior studies investigated the impact of RT on the large-scale LAE clustering, and claimed that RT induces a selection effect which results in an anisotropic distortion even in real space but in an otherwise negligible effect in redshift space. However, our previous study, which relies on a full RT code run on the Illustris simulations, shows that the anisotropic selection effect was drastically reduced with higher spatial resolution. Adopting the …
Projectile Coherence Effects In Simple Atomic Systems, Michael Schulz, A. Hasan, B. Lamichhane, T. Arthanayaka, M. Dhital, S. Bastola, L. Nagy, S. Borbely, F. Jarai-Szabo
Projectile Coherence Effects In Simple Atomic Systems, Michael Schulz, A. Hasan, B. Lamichhane, T. Arthanayaka, M. Dhital, S. Bastola, L. Nagy, S. Borbely, F. Jarai-Szabo
Physics Faculty Research & Creative Works
Recent studies of projectile coherence effects in ion-atom collisions are presented. For intermediate-energy proton collisions an extensive literature provides strong support for the importance of such effects. In this regime coherence effects are now used as a tool to study the few-body dynamics very sensitively. In contrast, for high-energy ion impact the literature is much sparser and here an important role of coherence effects cannot be regarded as being established. In this context, a recent claim that in COLTRIMS experiments the coherence properties are determined only by the target beam is rebutted.
High Octane Number Gasoline-Ether Blend, Tarek M. Aboul-Fotouh, Sherif K. Ibrahim, M. A. Sadek, Hany A. Elazab
High Octane Number Gasoline-Ether Blend, Tarek M. Aboul-Fotouh, Sherif K. Ibrahim, M. A. Sadek, Hany A. Elazab
Chemical and Biochemical Engineering Faculty Research & Creative Works
Gasoline produced in Egypt is a low-grade gasoline that contains high concentration of harmful components that are having a toll on our environment. In addition, those pollutants cause countless diseases and deaths annually to the Egyptian population. This paper targets two main sectors in the production of commercial gasoline. The improvement engine efficiency through the upgrading of octane number is first experimented by using a blend stock that ranges from gasoline fractions and Isomerates. An optimum was then chosen depending on the results obtained from different tests. Through those experiments, it was determined which samples obeyed the EU regulation for …
Load Distribution Of A Prestressed Self-Consolidating Concrete Bridge, Eli S. Hernandez, John J. Myers
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 …
Physico-Chemical Characteristics Of Ethanol–Diesel Blend Fuel, Tarek M. Aboul-Fotouh, Eslam Alaa, M. A. Sadek, Hany A. Elazab
Physico-Chemical Characteristics Of Ethanol–Diesel Blend Fuel, Tarek M. Aboul-Fotouh, Eslam Alaa, M. A. Sadek, Hany A. Elazab
Chemical and Biochemical Engineering Faculty Research & Creative Works
In this research we are discussing the physicochemical characteristics of sweet diesel after desulphurization alone and also these characteristics are tested with the adding of high purity HPLC ethanol (99.9%). Those fuel properties of ethanol blended with diesel were experimentally determined to find their stability and to increase their properties and efficiency in the diesel engines. First, we made 4 blends of diesel with ethanol and the fifth sample was pure diesel. The samples were 0% ethanol and 100 % diesel, the second sample was 5% ethanol and 95 % diesel, the third sample was 10 % ethanol and 90% …
Recurrent Network And Multi-Arm Bandit Methods For Multi-Task Learning Without Task Specification, Thy Nguyen, Tayo Obafemi-Ajayi
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 …
Comparative Analysis Of Feature Selection Methods To Identify Biomarkers In A Stroke-Related Dataset, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta
Comparative Analysis Of Feature Selection Methods To Identify Biomarkers In A Stroke-Related Dataset, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta
Electrical and Computer Engineering Faculty Research & Creative Works
This paper applies machine learning feature selection techniques to the REGARDS stroke-related dataset to identify health-related biomarkers. A data-driven methodological framework is presented to evaluate multiple feature selection methods. In applying the framework, three classifiers are chosen in conjunction with two wrappers, and their performance with diverse classification targets such as Current Smoker, Current Alcohol Use, and Deceased is evaluated. The performance across logistic regression, random forest and naïve Bayes classifier methods, as quantified by the ROC Area Under Curve metric and selected features, was similar. However, significant differences were observed in running time. Performance of the selected features was …
Spatially Continuous Strain Monitoring Using Distributed Fiber Optic Sensors Embedded In Carbon Fiber Composites, Sasi Jothibasu, Yang Du, Sudharshan Anandan, Gurjot S. Dhaliwal, Rex E. Gerald Ii, Steve Eugene Watkins, K. Chandrashekhara, Jie Huang
Spatially Continuous Strain Monitoring Using Distributed Fiber Optic Sensors Embedded In Carbon Fiber Composites, Sasi Jothibasu, Yang Du, Sudharshan Anandan, Gurjot S. Dhaliwal, Rex E. Gerald Ii, Steve Eugene Watkins, K. Chandrashekhara, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
A distributed fiber optic strain sensor based on Rayleigh backscattering, embedded in a fiber-reinforced polymer composite, has been demonstrated. The optical frequency domain reflectometry technique is used to analyze the backscattered signal. The shift in the Rayleigh backscattered spectrum is observed to be linearly related to the change in strain of the composite material. The sensor (standard single-mode fiber) is embedded between the layers of the composite laminate. A series of tensile loads is applied to the laminate using an Instron testing machine, and the corresponding strain distribution of the laminate is measured. The results show a linear response indicating …
Real‐Time Overhead Power Line Sag Monitoring, Jie Huang, Rui Bo
Real‐Time Overhead Power Line Sag Monitoring, Jie Huang, Rui Bo
Electrical and Computer Engineering Faculty Research & Creative Works
System and method for determining real-time sag and shape information of an electrical power line based on strain distribution along a length of an optical fiber associated with the power line. An embedded fiber coupled to an overhead transmission line measures strain using the backscatter of an optical signal, the optical signal is then interrogated using an interferometer.
Music Appreciation: Music Of Latin America, Lorie L. Francis
Music Appreciation: Music Of Latin America, Lorie L. Francis
AOER Course Materials
No abstract provided.
Follow-Up And Kinetic Model Selection Of Dinitro Pentamethylene Tetramine (Dpt), Hany A. Elazab, M. M. Seleet, Said M.A. Hassanein, M. A. Radwan, M. A. Sadek
Follow-Up And Kinetic Model Selection Of Dinitro Pentamethylene Tetramine (Dpt), Hany A. Elazab, M. M. Seleet, Said M.A. Hassanein, M. A. Radwan, M. A. Sadek
Chemical and Biochemical Engineering Faculty Research & Creative Works
The Synthetic route of Cyclotetramethylene Tetramine is implemented through the reaction of hexamine and nitrating mixture that is formed as a result of a reaction between ammonium nitrate and fuming nitric acid. The reaction medium includes acetic acid, acetic anhydride and p-formaldehyde. This synthetic pathway is relatively long and both of hexamine dinitrate and Dinitro Pentamethylene Tetramine (DPT) are considered as the two main intermediate compounds. The former compound (hexamine dinitrate) was prepared, purified, and then characterized. Conversion of hexamine dinitrate into DPT has been followed up experimentally at different temperatures. Various factors including temperature and time has been investigated. …
The Transformative Possibilities Of The Microbiota And Mycobiota For Health, Disease, Aging, And Technological Innovation, Lucas Jones, Jessica Kumar, Adil Mistry, Thriveen Sankar Chittoor Mana, George Perry, Prakash Reddy, Mark Obrenovich
The Transformative Possibilities Of The Microbiota And Mycobiota For Health, Disease, Aging, And Technological Innovation, Lucas Jones, Jessica Kumar, Adil Mistry, Thriveen Sankar Chittoor Mana, George Perry, Prakash Reddy, Mark Obrenovich
Chemistry Faculty Research & Creative Works
The gut microbiota is extremely important for the health of the host across its lifespan. Recent studies have elucidated connections between the gut microbiota and neurological disease and disorders such as depression, anxiety, Alzheimer's disease (AD), autism, and a host of other brain illnesses. Dysbiosis of the normal gut flora can have negative consequences for humans, especially throughout key periods during our lifespan as the gut microbes change with age in both phenotype and number of bacterial species. Neurologic diseases, mental disorders, and euthymic states are influenced by alterations in the metabolites produced by gut microbial milieu. We introduce a …