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2020

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Articles 2221 - 2250 of 10642

Full-Text Articles in Engineering

Asymmetric Semiconductor Nanostructures For Particle Manipulation, Jaykob Maser, Joshua Rovey Sep 2020

Asymmetric Semiconductor Nanostructures For Particle Manipulation, Jaykob Maser, Joshua Rovey

Mechanical and Aerospace Engineering Faculty Research & Creative Works

We explore how material selection affects the electromagnetic response of closely positioned asymmetric nanostructures. COMSOL Multiphysics is used to model the system, and the materials studied include gold (Au), gallium arsenide (GaAs), indium tin oxide (ITO), and aluminum zinc oxide (AZO). All materials produce average electric field magnitudes on the order of 10 MV/m. We conclude that the ITO and AZO nanostructures produce the most uniform electric field response over the entire domain of incident wavelengths and that GaAs is least thermally stable in a vacuum environment due to its low heat conductivity.

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Arliss Lite: An S4 Pocketqube Falcon 9 Airframe, Ken Biba Sep 2020

Arliss Lite: An S4 Pocketqube Falcon 9 Airframe, Ken Biba

Robert "Bob" Twiggs STEM Education Collection

A report authored by Ken Biba titled "ARLISS Lite: An S4 PocketQube Falcon 9 Airframe" from September of 2020.

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Numerical Solution Of Strongly Guided Modes Propagating In Sapphire Crystal Fibers (Α-Al2o3) For Uv, Vis/Ir Wave-Guiding, Farhan Mumtaz, Muhammad Aqueel Ashraf, Yutang Dai, Wenbin Hu Sep 2020

Numerical Solution Of Strongly Guided Modes Propagating In Sapphire Crystal Fibers (Α-Al2o3) For Uv, Vis/Ir Wave-Guiding, Farhan Mumtaz, Muhammad Aqueel Ashraf, Yutang Dai, Wenbin Hu

Electrical and Computer Engineering Faculty Research & Creative Works

A numerical solution, using the general formulation of the transcendental equation and eigenmode values, is proposed to demonstrate number of strongly guided modes propagating in sapphire crystal fibers (SCF). The SCF is considered to have hexagonal geometry of a single crystal and multimode step-index profile. Several distinguished characteristics are naturally embedded in SCF compared to other ordinary optical fibers. The eigenmodes of the SCF are numerically determined and are a combination of transverse electric, transverse magnetic, and hybrid modes. The numerical solution for wave-guiding in ultra-violet (UV), visible infrared (VIS/IR) spectrum, is investigated by the number of modal propagations under …

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The Impact Of Metal Pipe Materials, Corrosion Products, And Corrosion Inhibitors On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell, Yin Wang, Patrick J. Mcnamara Sep 2020

The Impact Of Metal Pipe Materials, Corrosion Products, And Corrosion Inhibitors On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell, Yin Wang, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Drinking water distribution systems (DWDS) are unique engineering environments that are important routes for the acquisition and dissemination of antibiotic resistance. Antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in drinking water pose risks to human and environmental health. Metals are known stressors that can select for antibiotic resistance. The objective of this review was to assess the state of knowledge regarding the impact of metal pipe materials, corrosion products, and corrosion inhibitors on the prevalence of antibiotic resistance in DWDS. ARGs and mobile genetic elements (MGEs) have been detected in full-scale DWDS in concentrations ranging from ~ 101 …

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Fatigue Of A Sic/Sic Ceramic Composite With An Ytterbium‐Disilicate Environmental Barrier Coating At Elevated Temperature, Marina B. Ruggles-Wrenn, Thaddeus M. Williams Sep 2020

Fatigue Of A Sic/Sic Ceramic Composite With An Ytterbium‐Disilicate Environmental Barrier Coating At Elevated Temperature, Marina B. Ruggles-Wrenn, Thaddeus M. Williams

Faculty Publications

Excerpt: Tension-tension fatigue performance of a SiC/SiC composite with an ytterbium-disilicate environmental barrier coating (EBC) was investigated at 1200°C in air and steam. The composite is reinforced with Hi-Nicalon™ SiC fibers and has a melt-infiltrated matrix processed by chemical vapor infiltration of SiC with subsequent infiltration with SiC particulate slurry and molten silicon. Abtract © American Ceramic Society

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Cost Analysis Of Optimized Islanded Energy Systems In A Dispersed Air Base Conflict, Jay F. Pearson, Torrey J. Wagner, Justin D. Delorit Sep 2020

Cost Analysis Of Optimized Islanded Energy Systems In A Dispersed Air Base Conflict, Jay F. Pearson, Torrey J. Wagner, Justin D. Delorit

Faculty Publications

The United States Air Force has implemented a dispersed air base strategy to enhance mission effectiveness for near-peer conflicts. Asset dispersal places many smaller bases across a wide geographic area, which increases resupply requirements and logistical complexity. Hybrid energy systems reduce resupply requirements through sustainable, off-grid energy production. This paper presents a novel hybrid energy renewable delivery system (HERDS) model capable of (1) selecting the optimal hybrid energy system design that meets demand at the lowest net present cost and (2) optimizing the delivery of the selected system using existing Air Force cargo aircraft. The novelty of the model’s capabilities …

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Self-Learning Algorithm To Predict Indoor Temperature And Cooling Demand From Smart Wifi Thermostat In A Residential Building, Kefan Huang, Kevin Hallinan, Robert Lou, Abdulrahman Alanezi, Salahaldin Alshatshati, Qiancheng Sun Sep 2020

Self-Learning Algorithm To Predict Indoor Temperature And Cooling Demand From Smart Wifi Thermostat In A Residential Building, Kefan Huang, Kevin Hallinan, Robert Lou, Abdulrahman Alanezi, Salahaldin Alshatshati, Qiancheng Sun

Mechanical and Aerospace Engineering Faculty Publications

Smart WiFi thermostats have moved well beyond the function they were originally designed for; namely, controlling heating and cooling comfort in buildings. They are now also learning from occupant behaviors and permit occupants to control their comfort remotely. This research seeks to go beyond this state of the art by utilizing smart WiFi thermostat data in residences to develop dynamic predictive models for room temperature and cooling/heating demand. These models can then be used to estimate the energy savings from new thermostat temperature schedules and estimate peak load reduction achievable from maintaining a residence in a minimum thermal comfort condition. …

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Colloidal Silica: Cement Enhancing Admixture Product Evaluation, Lieska Halsey, David Hansen Sep 2020

Colloidal Silica: Cement Enhancing Admixture Product Evaluation, Lieska Halsey, David Hansen

Nebraska Department of Transportation: Research Reports

As Class F- fly ash (F-ash) becomes scarce, PCC engineers will look to other supplemental cementitious materials (SCM) to replace F-ash and its ASR mitigating properties. Colloidal silica (CS), or nano-silica, has been shown to mitigate ASR at certain replacement levels; however, CS cannot be a full replacement of F-ash. Engineers at the Nebraska Department of Transportation (NDOT) learned of CS from a presentation given by Intelligent Concrete, Inc. at the 2019 Nebraska Concrete Professionals Association Conference and decided to investigate the potential use of CS in NDOT concrete mix designs.

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Evaluation Of Mixtures And Pavement Performance For Rehabilitation Methods, Mohammad Rahmani, Gabriel Nsengiyumva, Yong-Rak Kim, Jiong Hu Sep 2020

Evaluation Of Mixtures And Pavement Performance For Rehabilitation Methods, Mohammad Rahmani, Gabriel Nsengiyumva, Yong-Rak Kim, Jiong Hu

Nebraska Department of Transportation: Research Reports

Pavement rehabilitation practice involves milling an asphalt surface and placing a new layer. The incorporation of reclaimed asphalt pavement (RAP) mixtures brings cost savings and preserves the environment and natural resources. However, the use of recycled materials can compromise pavement performance, in particular, RAP can contribute to cracking because the mixtures with recycled materials become more brittle. In Nebraska, pavement rehabilitation has mostly been conducted by milling old 4-in. asphalt surface and placing a new 4-in. layer. Due to the potentially increased use of RAP mixtures for pavement rehabilitation, it is necessary to look into potential applications of RAP-induced overlay …

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Supporting Bridge Management With Advanced Analysis And Machine Learning, Joshua Steelman, Francisco Garcia Sep 2020

Supporting Bridge Management With Advanced Analysis And Machine Learning, Joshua Steelman, Francisco Garcia

Nebraska Department of Transportation: Research Reports

A supplemental Artificial Neural Network (ANN)-based tool was developed to support the Nebraska Department of Transportation (NDOT) in optimizing bridge management investments when choosing between refined modeling, field testing, retrofitting, or bridge replacement. Load ratings typically increase by approximately 15% to 20% when using detailed finite element analysis (FEA) instead of AASHTO approximate analysis methods. The ANN tool is implemented in an Excel spreadsheet to accept ten input parameters readily available to NDOT engineers performing typical load ratings, and predicts FEA- equivalent critical girder distribution factors (GDFs), removing unnecessary conservativism from approximate AASHTO GDFs, potentially justifying load posting removal for …

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Chitosan Beads As The Adsorbent For Glyphosate Removal From An Aqueous Solution, Thanat Saelim, Sermpong Sairiam, Krisana Siralertmukul, Supawin Watcharamul, Roongkan Nuisin Sep 2020

Chitosan Beads As The Adsorbent For Glyphosate Removal From An Aqueous Solution, Thanat Saelim, Sermpong Sairiam, Krisana Siralertmukul, Supawin Watcharamul, Roongkan Nuisin

Journal of Metals, Materials and Minerals

Chitosan beads were prepared to remove glyphosate from an aqueous solution via a batch adsorption system. The optimum conditions, including initial glyphosateconcentration, adsorbent dose, and contact time, were investigated. Increasing the initial glyphosate concentration increased the equilibrium adsorption capacity onto the chitosan beads. The rapid sorption of glyphosate was found at an initial contact time of 30 min. The maximum adsorption capacity from 35 mg·L-1 glyphosate in solution onto 0.1 g chitosan beads was 12.7 mg·g-1. Increasing amount chitosan to 0.5 g dosage could remove more than 94% of the glyphosate for all initial glyphosate concentrations (1 - 35 mg·L-1), …

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Microstructure Evolution And Mechanical Properties Of Calcined Kaolin Processing Waste-Based Geopolymers In The Presence Of Different Alkaliactivator Content By Pressing And Casting, Sitthisak Prasanphan, Anucha Wannagon, Takaomi Kobayashi, Sirithan Jiemsirilers Sep 2020

Microstructure Evolution And Mechanical Properties Of Calcined Kaolin Processing Waste-Based Geopolymers In The Presence Of Different Alkaliactivator Content By Pressing And Casting, Sitthisak Prasanphan, Anucha Wannagon, Takaomi Kobayashi, Sirithan Jiemsirilers

Journal of Metals, Materials and Minerals

In this work, microstructure evolution and mechanical properties of calcined kaolin processing waste-based geopolymers in the presence of low and high contents alkali activators were studied. Lower and higher contents of alkali activators were employed to synthesize geopolymers by pressing and casting methods, respectively. Chemicalbonding analysis, microstructure/elemental analysis, phase composition analysis, and compressive strength test were performed using FTIR, SEM/EDX, XRD, anduniversal mechanical testing machine, respectively. Findings showed that geopolymer with the low content of alkali activator formed by pressing (pressed geopolymer) might promote in the higher degree of geopolymerization because of higher compacted matrices but geopolymer with the high …

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Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta Sep 2020

Discover Influential Mental Workload Attributes Impacting Learners Performance In Third-Level Education, Amisha Mehta

Dissertations

Human Mental Workload is an intervening variable and a fundamental concept in the discipline of Ergonomics. It is deduced from variations in performance. High or low mental workload leads to hampering of performance. Mental workload in an educational setting has been extensively researched. It is applied in instructional design but it is obscure as to which factors are majorly driving mental workload in learners. This dissertation investigates the importance of the features used in the the NASA-Task Load Index mental workload assessment instrument and their impact on the performance of learners as assessed by multiple-choice tests conducted in classrooms of …

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Deep Learning Techniques For Structural Response Prediction During Strong Ground Motions, Ahmed A. Torky, Susumu Ohno Prof., Toshide Kashima Prof. Sep 2020

Deep Learning Techniques For Structural Response Prediction During Strong Ground Motions, Ahmed A. Torky, Susumu Ohno Prof., Toshide Kashima Prof.

Civil Engineering

In this paper, deep learning techniques are applied to predict a building’s structural response to strong ground motions. Data from sensors near and inside structures measure accelerations during strong ground motions. The Building Research Institute (BRI) ANX building, an eight-story structure, has experienced major earthquakes since 1998. Sensors in the building provide and accumulate big data of historic events. Changes of the natural frequency of the ANX building from the big data is initially quantified. The time-series data of the historic events can be used to predict future response to future events using deep learning models rapidly. Although previous literature …

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Inversion Modeling Of Japonica Rice Canopy Chlorophyll Content With Uav Hyperspectral Remote Sensing, Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu Sep 2020

Inversion Modeling Of Japonica Rice Canopy Chlorophyll Content With Uav Hyperspectral Remote Sensing, Yingli Cao, Kailun Jiang, Jingxian Wu, Fenghua Yu, Wen Du, Tongyu Xu

Electrical Engineering Faculty Publications and Presentations

Chlorophyll content is an important indicator of the growth status of japonica rice. The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV). UAV-based hyperspectral remote sensing can provide timely and cost-effective monitoring of chlorophyll content over a large region. The study was based on hyperspectral data collected at the Shenyang Agricultural College Academician Japonica Rice Experimental Base in 2018 and 2019. In order to extract the salient information embedded in the high-dimensional hyperspectral data, we first perform dimension …

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Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang Sep 2020

Large Signal Modeling For Llc Resonant Converter, Zheng Kai, Jianbing Li, Zhou Dongfang, Li Kai, Songzhen Zhang

Journal of System Simulation

Abstract: The large-signal model modeling issue of LLC resonant converter was dealt with by using averaged large-signal modeling method, on the basis of a full-bridge LLC voltage-multiplying resonant converter. The SSOC (self-sustained oscillation controller) was analyzed, and the operation mode of LLC resonant converter under the SSOC mode was investigated. The nonlinear state space model of LLC resonant converter was established by analyzing linear approximation of nonlinear terms and harmonic balance, and the averaged large-signal model of LLC resonant converter was proposed. Two curves of large signal model and nonlinear state space model were proved to be identical …

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Construction Of Virtual Atmospheric Environment Based On Mm5 And Sedris, Lianlei Lin, Ding Wei Sep 2020

Construction Of Virtual Atmospheric Environment Based On Mm5 And Sedris, Lianlei Lin, Ding Wei

Journal of System Simulation

Abstract: The new virtual test for virtual atmosphere environment puts forward higher requirements, such as providing complex atmospheric environment which includes a variety of atmospheric parameters and improving usability and reusability of atmospheric environment data. A method to construct virtual atmospheric environment based on MM5 and SEDRIS was proposed which met the above demands. The original data of complex atmospheric environment in any region and scale was generated by using MM5 model. According to the characteristics as well as the dynamic relationship between time and space of grid of atmospheric data, SEDRIS was selected to regulate appropriate DRM class, SRF …

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Reach-Scale Model Of Aquatic Vegetation Quantifies N Fate In A Bedrock-Controlled Karst Agroecosystem Stream, Nolan Lewis Bunnell, William I. Ford, Alex W. Fogle, Joseph L. Taraba Sep 2020

Reach-Scale Model Of Aquatic Vegetation Quantifies N Fate In A Bedrock-Controlled Karst Agroecosystem Stream, Nolan Lewis Bunnell, William I. Ford, Alex W. Fogle, Joseph L. Taraba

Biosystems and Agricultural Engineering Faculty Publications

In-stream fate of nutrients in karst agroecosystems remains poorly understood. The significance of these streams is recognized given spring/surface water confluences have been identified as hotspots for biogeochemical transformations. In slow-moving streams high in dissolved inorganic nutrients, benthic and floating aquatic macrophytes are recognized to proliferate and drastically impact nutrient fate; however, models that quantify coupled interactions between these pools are limited. We present a reach-scale modeling framework of nitrogen dynamics in bedrock-controlled streams that accounts for coupled interactions between hydrology, hydraulics, and biotic dynamics and is validated using a multi-year, biweekly dataset. A fluvial N budget with uncertainty was …

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As The Role Of The Driver Changes With Autonomous Vehicle Technology, So, Too, Must The Law Change, Nanci K. Carr Sep 2020

As The Role Of The Driver Changes With Autonomous Vehicle Technology, So, Too, Must The Law Change, Nanci K. Carr

St. Mary's Law Journal

Getting a driver’s license is a highly anticipated rite of passage for most teenagers. Being alone behind the wheel, in control of a 3,000-pound machine, is an honor, a privilege, and a sign of adult responsibility. How will that change when driver’s licenses become licenses “to cause technology to engage” with the increased use of autonomous cars? Will driver’s education courses, with their focus on safety rules and defensive driving techniques, be eliminated if all a vehicle operator needs to do is push a button and the vehicle does the rest? While arguably autonomous cars are safer, they will not …

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Drug-Loaded Chitosan Film Prepared Via Facile Solution Casting And Air-Drying Of Plain Water-Based Chitosan Solution For Ocular Drug Delivery, Boxuan Li, Juan Wang, Qin Gui, Hu Yang Sep 2020

Drug-Loaded Chitosan Film Prepared Via Facile Solution Casting And Air-Drying Of Plain Water-Based Chitosan Solution For Ocular Drug Delivery, Boxuan Li, Juan Wang, Qin Gui, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Chitosan is a nature-based polymer with low toxicity, excellent biocompatibility and biodegradability. However, the intractable solubility of chitosan in water and most conventional solvents hampers its biomedical applications. Following the dissolution method for dissolving chitosan in plain water developed by us, chitosan was dissolved in ionic liquid followed by overnight freezing at −20 °C and subsequent solvent exchange with plain water at room temperature. In this study, we fabricated a drug-carrying chitosan film via solution casting and air-drying by using the plain water-based chitosan solution. Specifically, brimonidine tartrate (BT), an antiglaucoma drug, was dissolved in the plain-water based solution and …

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A Data-Driven Approach For Predicting Nepheline Crystallization In High-Level Waste Glasses, Irmak Sargin, Charmayne E. Lonergan, John D. Vienna, John S. Mccloy, Scott P. Beckman Sep 2020

A Data-Driven Approach For Predicting Nepheline Crystallization In High-Level Waste Glasses, Irmak Sargin, Charmayne E. Lonergan, John D. Vienna, John S. Mccloy, Scott P. Beckman

Materials Science and Engineering Faculty Research & Creative Works

High-level waste (HLW) glasses with high alumina content are prone to nepheline crystallization during the slow canister cooling that is experienced during large-scale production. Because of its detrimental effects on glass durability, nepheline (NaAlSiO4) precipitation must be avoided; however, developing robust, predictive models for nepheline crystallization behavior in compositionally complex HLW glasses is difficult. Using overly conservative constraints to predict nepheline formation can limit the waste loading to lower than the achievable capacity. In this study, a robust data-driven model using five compositional features has been developed to predict nepheline formation. A new descriptor is introduced called the …

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Processing And Properties Of Medium-Mn Trip Steel To Obtain A Two-Stage Trip Behavior, D. M. Field, L. G. Garza-Martinez, D. C. Van Aken Sep 2020

Processing And Properties Of Medium-Mn Trip Steel To Obtain A Two-Stage Trip Behavior, D. M. Field, L. G. Garza-Martinez, D. C. Van Aken

Materials Science and Engineering Faculty Research & Creative Works

Two medium-Mn steels of nominal composition 0.15C-2.0Si-10.5Mn-(0.75, 1.5) Al-0.04Nb-balFe (wt pct) were processed to produce sub-micron grain sizes of 0.65 and 0.80 μm. Mechanical testing was performed in three successive conditions: hot rolled, intercritically annealed, and cold rolled with subsequent intercritical annealing. Intercritical annealing was performed at 923 K for 20 hours. Electron-backscattered diffraction and X-ray diffraction were utilized to characterize the microstructure, consisting of α-ferrite, α-martensite, ε-martensite, and γ-austenite. Microstructural constituents were tracked during tensile deformation, and it was found that both steels exhibited two-stage TRIP with γ-austenite martensitically transforming first to ε-martensite and as strain increased ε-martensite transformed …

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How Mandatory Stretches Increase Safety In The Workplace, Alec Pitts Sep 2020

How Mandatory Stretches Increase Safety In The Workplace, Alec Pitts

Construction Management

The construction industry is one that revolves around safety. Without safety this industry fails. Jobsite safety keeps companies afloat longer whether it's financially, physically, or even mentally. This senior project dives into the benefits of mandatory stretching prior to each work day. This study also questions contractors and tests the stretches and their results. These benefits include muscle warm ups, increase of focus, added flexibility, increased range of motion, and even mental awareness. The idea of these morning stretches means more upfront costs for less costs later down the road. These stretches are an extra form of insurance when completed …

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Bs News September/October Sep 2020

Bs News September/October

Building Services Engineering

No abstract provided.

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Effect Of Motor-Assisted Elliptical Training Speed And Body Weight Support On Center Of Pressure Movement Variability, Farahnaz Fallahtafti, Chase M. Pfeifer, Thad W. Buster, Judith M. Burnfield Sep 2020

Effect Of Motor-Assisted Elliptical Training Speed And Body Weight Support On Center Of Pressure Movement Variability, Farahnaz Fallahtafti, Chase M. Pfeifer, Thad W. Buster, Judith M. Burnfield

Department of Mechanical and Materials Engineering: Faculty Publications

Background: A motor-assisted elliptical trainer is being used clinically to help individuals with physical disabilities regain and/or retain walking ability and cardiorespiratory fitness. Unknown is how the device’s training parameters can be used to optimize movement variability and regularity. This study examined the effect of motor-assisted elliptical training speed as well as body weight support (BWS) on center of pressure (CoP) movement variability and regularity during training. Methods: CoP was recorded using in-shoe pressure insoles as participants motor-assisted elliptical trained at three speeds (20, 40, and 60 cycles per minute) each performed at four BWS levels (0%, 20%, 40%, and …

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Preparation And Characterisation Of Heat Treated Oil Palm-Empty Fruit Bunch/High Density Polyethylene Composites, Nordin Nur Afifah Sep 2020

Preparation And Characterisation Of Heat Treated Oil Palm-Empty Fruit Bunch/High Density Polyethylene Composites, Nordin Nur Afifah

Student Works (2020-2029)

Natural fibre composites (NFCs) are composite materials, in which the reinforcing fibres are derived from renewable and carbon dioxide neutral resources such as wood or plants. NFC can be made by replacing synthetic fibres with various types of natural fibres. Oil palm empty fruit bunch (OPEFB) fibre and oil palm mesocarp fibre are two important types of fibrous materials left in the palm-oil industry. In this study, EFB will be used as a reinforcement to the high-density polyethylene (HDPE). EFB was heat-treated at 180°C using vacuum oven for one hour, extrusion compounded with HDPE at 10%, 20% and 30% weight …

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Solar Power Forecasting Using Wavelet Transform And Machine Learning Approaches, Abdullah Nor Azliana Sep 2020

Solar Power Forecasting Using Wavelet Transform And Machine Learning Approaches, Abdullah Nor Azliana

Student Works (2020-2029)

Generation of photovoltaic (PV) power is intermittent in nature and integration of PV system into the grid system causes an imbalanced power production and power demand. One of the efforts to reduce this problem is to forecast the generation of solar power in the PV system. Solar power forecasting requires the collection of solar power and meteorological data. Hence, this work collected solar power data and various meteorological data (global radiation, tilted radiation, temperature surrounding, humidity surrounding, PV module/ PV panel temperature and wind speed) from Universiti Teknikal Malaysia Melaka (UTeM). A pre-processing process is carried out to ensure that …

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Analysis Of Space-Charge-Limited Conduction Mechanisms In Zron/Sic System, Hasnurashid Nur Hasdyanna Sep 2020

Analysis Of Space-Charge-Limited Conduction Mechanisms In Zron/Sic System, Hasnurashid Nur Hasdyanna

Student Works (2020-2029)

In this study, current conduction mechanism by space-charge-limited conduction (SCLC) and Poole-Frenkel (PF) emission on ZrON/SiC system that was oxidized and nitrided in N2O at various temperatures (400-900˚C) were analysed. The current-voltage (I-V) measurements were performed in Al-gate metal-oxide-semiconductor (MOS) capacitor by sputtering of Al film on top of the film and at the back of the substrate. Then, characterization of electrical properties was done according to two types of bulk-limited conduction, which are space-charge-limited conduction and Poole-Frenkel emission conduction. Space-charge-limited conduction and Poole-Frenkel emission have been systematically evaluated through data analysis method by the fitting of linear regression according …

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Improving Closely Spaced Dim Object Detection Through Improved Multiframe Blind Deconvolution, Ronald M. Aung Sep 2020

Improving Closely Spaced Dim Object Detection Through Improved Multiframe Blind Deconvolution, Ronald M. Aung

Theses and Dissertations

This dissertation focuses on improving the ability to detect dim stellar objects that are in close proximity to a bright one, through statistical image processing using short exposure images. The goal is to improve the space domain awareness capabilities with the existing infrastructure. Two new algorithms are developed. The first one is through the Neighborhood System Blind Deconvolution where the data functions are separated into the bright object, the neighborhood system, and the background functions. The second one is through the Dimension Reduction Blind Deconvolution, where the object function is represented by the product of two matrices. Both are designed …

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Aligning Performance Management Systems For Lasting Outcomes In Humanitarian Operations, Kalyn M. Howard Sep 2020

Aligning Performance Management Systems For Lasting Outcomes In Humanitarian Operations, Kalyn M. Howard

Theses and Dissertations

Logistics is dynamic, expansive, and critical to organizational success. While it is generally believed that effective logistics management is associated with positive performance outcomes, the links between organizational practice and performance are understudied. This dissertation leverages resource-based theory and organizational learning theory to examine organizational practice and performance in non-traditional logistics settings, with particular focus on military organizations and humanitarian operational settings. First, a meta-analytical study establishes generalizable associations between various operations management practices and performance outcomes. Then, this is applied to dynamic humanitarian logistics settings, exploring how practitioners perceive practice and performance, and how this is reported and documented …

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