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Articles 40231 - 40260 of 196127

Full-Text Articles in Engineering

Impacts Of Atmospheric Stilling And Climate Warming On Cyanobacterial Blooms: An Individual-Based Modelling Approach, Mohammad Hassan Ranjbar, David P. Hamilton, Amir Etemad-Shahidi, Fernanda Helfer Jan 2022

Impacts Of Atmospheric Stilling And Climate Warming On Cyanobacterial Blooms: An Individual-Based Modelling Approach, Mohammad Hassan Ranjbar, David P. Hamilton, Amir Etemad-Shahidi, Fernanda Helfer

Research outputs 2022 to 2026

Harmful algal blooms of the freshwater cyanobacteria genus Microcystis are a global problem and are expected to intensify with climate change. In studies of climate change impacts on Microcystis blooms, atmospheric stilling has not been considered. Stilling is expected to occur in some regions of the world with climate warming, and it will affect lake stratification regimes. We tested if stilling could affect water column Microcystis distributions using a novel individual-based model (IBM). Using the IBM coupled to a three-dimensional hydrodynamic model, we assessed responses of colonial Microcystis biomass to wind speed decrease and air temperature increase projected under a …

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Insights Into The Aerodynamic Versus Radiometric Surface Temperature Debate In Thermal-Based Evaporation Modeling, Kaniska Mallick, Dennis Baldocchi, Andrew Jarvis, Tian Hu, Ivonne Trebs, Mauro Sulis, Nishan Bhattarai, Christian Bossung, Yomna Eid, Jamie Cleverly, Jason Beringer, William Woodgate, Richard Silberstein, Nina Hinko-Najera, Wayne S. Meyer, Darren Ghent, Zoltan Szantoi, Gilles Boulet, William P. Kustas Jan 2022

Insights Into The Aerodynamic Versus Radiometric Surface Temperature Debate In Thermal-Based Evaporation Modeling, Kaniska Mallick, Dennis Baldocchi, Andrew Jarvis, Tian Hu, Ivonne Trebs, Mauro Sulis, Nishan Bhattarai, Christian Bossung, Yomna Eid, Jamie Cleverly, Jason Beringer, William Woodgate, Richard Silberstein, Nina Hinko-Najera, Wayne S. Meyer, Darren Ghent, Zoltan Szantoi, Gilles Boulet, William P. Kustas

Research outputs 2022 to 2026

Global evaporation monitoring from Earth observation thermal infrared satellite missions is historically challenged due to the unavailability of any direct measurements of aerodynamic temperature. State-of-the-art one-source evaporation models use remotely sensed radiometric surface temperature as a substitute for the aerodynamic temperature and apply empirical corrections to accommodate for their inequality. This introduces substantial uncertainty in operational drought mapping over complex landscapes. By employing a non-parametric model, we show that evaporation can be directly retrieved from thermal satellite data without the need of any empirical correction. Independent evaluation of evaporation in a broad spectrum of biome and aridity yielded statistically significant …

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Responses Of Calcareous Sand Foundations To Variations Of Groundwater Table And Applied Loads, Dingfeng Cao, Sanjay Kumar Shukla, Linqing Yang, Chengchao Guo, Jinghong Wu, Fuming Wang Jan 2022

Responses Of Calcareous Sand Foundations To Variations Of Groundwater Table And Applied Loads, Dingfeng Cao, Sanjay Kumar Shukla, Linqing Yang, Chengchao Guo, Jinghong Wu, Fuming Wang

Research outputs 2022 to 2026

The long-term settlement of calcareous sand foundations caused by daily periodic fluctuations has become a significant geological hazard, but effective monitoring tools to capture the deformation profiles are still rarely reported. In this study, a laboratory model test and an in situ monitoring test were conducted. An optical frequency domain reflectometer (OFDR) with high spatial resolution (1 mm) and high accuracy (±10-6) was used to record the soil strain responses to groundwater table and varied loads. The results indicated that the fiber-optic measurements can accurately locate the swelling and compressive zones. During the loading process, the interlock between calcareous sand …

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Role Of Primary Freeboard On Staged Combustion Of Hardwood Pellets In A Fixed Bed Combustor, Awais Junejo, Yasir Al-Abdeli, Jacobo Porteiro Jan 2022

Role Of Primary Freeboard On Staged Combustion Of Hardwood Pellets In A Fixed Bed Combustor, Awais Junejo, Yasir Al-Abdeli, Jacobo Porteiro

Research outputs 2022 to 2026

In staged fixed bed biomass combustion, primary air is supplied beneath the fuel bed with secondary air then provided above in the freeboard region. For fixed bed configurations, the freeboard is further divided into a primary freeboard length (LI), which is upstream of the secondary air and a secondary freeboard length (LII), measured from the secondary air all the way to the exhaust port. Despite extensive research into fixed bed configurations, no work has been successfully completed that resolves the effects of changing LI on fuel conversion, both in the fuel bed and within the freeboard of batch-type biomass combustors. …

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Assessment Of Hole Quality, Thermal Analysis, And Chip Formation During Dry Drilling Process Of Gray Cast Iron Astm A48, Numan Habib, Aamer Sharif, Aqib Hussain, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov Jan 2022

Assessment Of Hole Quality, Thermal Analysis, And Chip Formation During Dry Drilling Process Of Gray Cast Iron Astm A48, Numan Habib, Aamer Sharif, Aqib Hussain, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov

Research outputs 2022 to 2026

The cutting parameters in drilling operations are important for high-quality holes and productivity improvement in any manufacturing industry. This study investigates the effects of spindle speed and feed rate on temperature, surface roughness, hole size, circularity, and chip formation during dry drilling of gray cast iron ASTM A48. The results showed that the temperature increased as spindle speed and feed rate increased. The surface roughness had an inverse relationship with the spindle speed and direct relation with the feed rate. Furthermore, hole size increased with increased spindle speed and decreased as the feed rate increased, while hole circularity decreased with …

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Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily Jan 2022

Deep Learning Inspired Feature Engineering For Classifying Tremor Severity, Ahmed Al Taee, Seyedehmarzieh Hosseini, Rami N. Khushaba, Tanveer Zia, Chin-Teng Lin, Adel Al-Jumaily

Research outputs 2022 to 2026

Bio-signals pattern recognition systems can be impacted by several factors with a potential to limit their associated performance and clinical translation. Among these factors, selecting the optimum feature extraction method, that can effectively exploit the interaction between the temporal and spatial information, is the most prominent. Despite the potential of deep learning (DL) models for extracting temporal, spatial, or temporal-spatial information, they are typically restricted by their need for a large amount of training data. The deep wavelet scattering transform (WST) is a relatively recent advancement within the DL literature to replace expensive convolution neural networks models with computationally less …

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Zeta Potential Of A Natural Clayey Sandstone Saturated With Carbonated Nacl Solutions At Supercritical Co2 Conditions, Miftah Hidayat, Mohammad Sarmadivaleh, Jos Derksen, David Vega-Maza, Stefan Iglauer, Jan Vinogradov Jan 2022

Zeta Potential Of A Natural Clayey Sandstone Saturated With Carbonated Nacl Solutions At Supercritical Co2 Conditions, Miftah Hidayat, Mohammad Sarmadivaleh, Jos Derksen, David Vega-Maza, Stefan Iglauer, Jan Vinogradov

Research outputs 2022 to 2026

The zeta potential is a measure of electric potential at the mineral-electrolyte interfaces. The zeta potential of natural sandstones depends on mineralogy, electrolyte pH, concentration, composition, amount of dissolved CO2, and temperature. We report for the first time the zeta potential measured on clayey sandstone comprising quartz, kaolinite, illite, albite and microcline saturated with NaCl solutions at supercritical CO2 conditions. Our results demonstrate that zeta potentials in clayey sandstone samples at supercritical CO2 conditions are significantly different from similar measurements conducted under ambient conditions and from those obtained with clean sandstones. Supercritical CO2 zeta potential remains negative but is influenced …

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Evaluation Of The Mechanical Properties And Drilling Of Glass Bead/Fiber-Reinforced Polyamide 66 (Pa66)-Based Hybrid Polymer Composites, Recep Demirsöz, Nafiz Yasar, Mehmet Erdi Korkmaz, Mustafa Günay, Khaled Giasin, Danil Yorievich Pimenov, Muhammad Aamir, Huseyin Unal Jan 2022

Evaluation Of The Mechanical Properties And Drilling Of Glass Bead/Fiber-Reinforced Polyamide 66 (Pa66)-Based Hybrid Polymer Composites, Recep Demirsöz, Nafiz Yasar, Mehmet Erdi Korkmaz, Mustafa Günay, Khaled Giasin, Danil Yorievich Pimenov, Muhammad Aamir, Huseyin Unal

Research outputs 2022 to 2026

In this study, mechanical testing of glass bead (GB), glass fiber (GF), and hybrid (GB/GF) composites was carried out. Following that, drilling tests were undertaken on glass bead/fiber-reinforced hybrid Polyamide 66 (PA66) polymer composites. The purpose of this study is to determine the mechanical properties of the cutting elements and the effect of cutting parameters (spindle speed and feed rate) and reinforcement ratios on thrust force and surface roughness (Ra). The contribution of the cutting parameters to the investigated outcomes was determined using statistical analysis. Optical microscopy and scanning electron microscopy (SEM) was used to inspect the hole quality and …

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An Optimal Charging Solution For Commercial Electric Vehicles, Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Pravakar Pradhan, Mohammad A.S. Masoum Jan 2022

An Optimal Charging Solution For Commercial Electric Vehicles, Bassam Al-Hanahi, Iftekhar Ahmad, Daryoush Habibi, Pravakar Pradhan, Mohammad A.S. Masoum

Research outputs 2022 to 2026

New government regulations and incentives promote the deployment of commercial electric vehicles to reduce carbon emissions from gasoline-fueled vehicles. For commercial electric vehicles (CEVs) operating in a fleet, charging processes are often performed at the depot where they begin and end their daily driving cycles, as well as at public stations on their routes. With the large penetration of CEVs in depots, simultaneous charging increases peak demand, which in turn impacts the electric network and increases the demand cost of a facility. These depot charging conditions influence the charging schedules of CEVs along their routes and the total service cost …

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Coupled Heat-Mass Transport Modelling Of Radionuclide Migration From A Nuclear Waste Disposal Borehole, Kaveh Sookhak Lari, Dirk Mallants Jan 2022

Coupled Heat-Mass Transport Modelling Of Radionuclide Migration From A Nuclear Waste Disposal Borehole, Kaveh Sookhak Lari, Dirk Mallants

Research outputs 2022 to 2026

Disposal of radioactive waste originating from reprocessing of spent research reactor fuel typically includes stainless steel canisters with waste immobilised in a glass matrix. In a deep borehole disposal concept, waste packages could be stacked in a disposal zone at a depth of one to potentially several kilometres. This waste will generate heat for several hundreds of years. The influence of combining a natural geothermal gradient with heat from decaying nuclear waste on radionuclide transport from deep disposal boreholes is studied by implementing a coupled heat-solute mass transport modelling framework, subjected to depth-dependent temperature, pressure, and viscosity profiles. Several scenarios …

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Graphene Based Tunable Terahertz Holographic Antennas, Pengfei Ren, Lijun Jiang, Ping Li Jan 2022

Graphene Based Tunable Terahertz Holographic Antennas, Pengfei Ren, Lijun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, several representative terahertz (THz) graphene holographic impedance surface antenna are presented. Different to the conventional impedance surface antenna that manipulates the surface impedance via varying the patch size in each unit cell, the surface impedance of the proposed antenna in this paper is readily controlled by applying a tunable DC biasing to each graphene patch cell, the physics behind which is that the conductivity of the graphene is a function of imposed voltage. Thus, the graphene patches of the proposed antenna have same size as well as equal spacing, which makes the modeling process more convenient and …

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Dc Ir-Drop Analysis Of Power Distribution Networks By A Robin Transmission Condition-Enhanced Discontinuous Galerkin Method, An Fa Yang, Min Tang, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagcii, Ping Li Jan 2022

Dc Ir-Drop Analysis Of Power Distribution Networks By A Robin Transmission Condition-Enhanced Discontinuous Galerkin Method, An Fa Yang, Min Tang, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagcii, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, a novel Robin transmission condition (RTC)-enhanced discontinuous Galerkin (DG) method is proposed for the dc IR-drop analysis of power distribution networks with Joule heating effects included. Unlike the conventional DG method, the proposed DG method straightforwardly applied to discretize the second-order spatial partial differential governing equations for the electrostatic potential $\Phi $ and the steady-state temperature $T$. The numerical flux in DG used to facilitate the information exchange among neighboring subdomains introduces two additional variables: the current density $J$ for the electrical potential equation and the thermal flux $q$ for the thermal equation. To solve them, at …

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Discrete And Integrated Solutions For Hybrid Pv Plants Without Momentary Cessation In Low Scr And High Penetration Pe Grids, Phani R.V. Marthi, Suman Debnath, Jiuping Pan, Mariesa Crow Jan 2022

Discrete And Integrated Solutions For Hybrid Pv Plants Without Momentary Cessation In Low Scr And High Penetration Pe Grids, Phani R.V. Marthi, Suman Debnath, Jiuping Pan, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

With the increased penetration of power electronic (PE) based loads and sources, advanced solutions may be required for the enhancement of grid stability in regions with low short circuit ratio (SCR) and high penetration PE grids. The requirement of advanced solutions arises from the gradual paradigm shift of the electric grid from the traditional electric machine dominant system to a high penetration of PE-based system. One of the major challenges with such systems in recent times is the momentary cessation during alternating current (ac) grid transmission faults. During momentary cessation, PE-based resources cease to operate, thus creating probable reliability challenges …

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Review Of Fiber Optic Displacement Sensors, Chen Zhu, Yiyang Zhuang, Bo Liu, Jie Huang Jan 2022

Review Of Fiber Optic Displacement Sensors, Chen Zhu, Yiyang Zhuang, Bo Liu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Displacement Measurements Are of Significant Importance in a Variety of Critical Scientific and Engineering Fields, Such as Gravitational Wave Detection, Geophysical Research, and Manufacturing Industries. Due to the Inherent Advantages Such as Compactness, High Sensitivity, and Immunity to Electromagnetic Interference, in Recent Years, Fiber Optic Sensors Have Been Widely Used in an Expansive Range of Sensing Applications, Ranging from Infrastructural Health Monitoring to Chemical and Biological Sensing. of Particular Interest Here, Fiber Optic Displacement Sensors Have Gained Wide Interest and Have Evolved from Basic Intensity Modulation-Based Configurations to More Advanced Structures, Such as Fiber Bragg Grating (FBG)-Based and Interferometric Configurations. …

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Message From The 2022 Program Chairs-In-Chief, Hong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi Jan 2022

Message From The 2022 Program Chairs-In-Chief, Hong Va Leong, Sahra Sedigh Sarvestani, Yuuichi Teranishi

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Temperature-Insensitive Inclinometer Based On Transmission Line Fabry-Perot Resonators, Jing Guo, Chen Zhu, Yan Tang, Jie Huang Jan 2022

Temperature-Insensitive Inclinometer Based On Transmission Line Fabry-Perot Resonators, Jing Guo, Chen Zhu, Yan Tang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This Article Reports a Novel Self-Compensated Inclinometer with a Wide Dynamic Range and High Measurement Resolution based on Two Hollow Coaxial Cable Fabry-Perot Resonators (HCC-FPRs). the HCC-FPR is Formed between a Metal Post that Shorts the Inner Conductor and the Outer Conductor of the HCC and the Water Level Inside the HCC. Changes in Tilt Angles Result in Variations of the Water Level in the HCC, Leading to Changes in the Cavity Length of the HCC-FPR. by Tracking the Shift of the Resonance Wavelength of the HCC-FPR, a Single HCC-FPR Can Be Used as a Sensor Device for Tilt Measurements. …

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Proportional Fair Clustered Federated Learning, Mohamed Nafea, Eugine Shin, Aylin Yener Jan 2022

Proportional Fair Clustered Federated Learning, Mohamed Nafea, Eugine Shin, Aylin Yener

Electrical and Computer Engineering Faculty Research & Creative Works

This paper studies federated learning (FL) with non-identical data generating distributions and under the notion of proportional fairness. Users are partitioned into disjoint clusters based on their data distributions, and a distinct model is learnt for each cluster. Different than previous work that considered clustering to optimize personalized learning performance, here clustering is inspected under the disparate impact doctrine which requires that protected classes (e.g., those of certain race or gender) have representations in every cluster that are approximately equal to their representation in the overall set of users. A family of iterative algorithms that balance the learning performance and …

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Application Of Uniform Test Design In Optimizing The Flotation Reagents Of Iron Anionic Reverse Flotation Circuit, Ying Hou, Ahmed Sobhy Jan 2022

Application Of Uniform Test Design In Optimizing The Flotation Reagents Of Iron Anionic Reverse Flotation Circuit, Ying Hou, Ahmed Sobhy

Mining Engineering Faculty Research & Creative Works

Most iron reserves are low in grade with quartz as the main gangue mineral, and anionic reverse flotation has become the most crucial separation method in the processing plants of iron ore. Thus, a flotation feed sample that is a mixture of low-intensity and high-gradient magnetic separators concentrates was acquired from a processing plant. The sample characterizations with X-ray diffraction (XRD), X-ray fluorescence (XRF), laser particle size analyzer, and mineral liberation analysis (MLA) confirmed that the sample consists of iron oxide as a valuable mineral and quartz as a gangue mineral with adequate liberation degree. In the anionic reverse flotation, …

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Superhydrophobic Magnetic Sorbent Via Surface Modification Of Banded Iron Formation For Oily Water Treatment, Mohsen Farahat, Ahmed Sobhy, Moustafa M. S. Sanad Jan 2022

Superhydrophobic Magnetic Sorbent Via Surface Modification Of Banded Iron Formation For Oily Water Treatment, Mohsen Farahat, Ahmed Sobhy, Moustafa M. S. Sanad

Mining Engineering Faculty Research & Creative Works

In the current study, a simple dry coating method was utilized to fabricate a super-hydrophobic super-magnetic powder (ZS@BIF) for oily water purification using zinc stearate (ZS) and banded iron formation (BIF). The produced composite was fully characterized as a magnetic sorbent for oily water treatment. The results of X-ray diffraction diffractometer (XRD), Fourier transform infrared (FTIR), X-ray photoelectron spectroscopy (XPS), scanning electron microscope (SEM), energy-dispersive X-ray spectroscopy (EDS) and particle size analysis revealed the fabrication of homogenous hydrophobicmagnetic composite particles with core–shell structure. Contact angle and magnetic susceptibility results showed that 4 (BIF): 1 (Zs) was the ideal coverage ratio …

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Honey-Cnt Based Resistive Switching Device For Neuromorphic Computing Applications, Md Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao Jan 2022

Honey-Cnt Based Resistive Switching Device For Neuromorphic Computing Applications, Md Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Modern computing applications increasingly rely on technologies in artificial intelligence, machine learning, and big data analytics. These applications often demand more powerful and energy-efficient hardware. Resistive switching random access memory (ReRAM) has emerged as a promising solution to satisfy both the storage and computing needs. In this paper, a natural organic honey film embedded with carbon nanotube (CNT) was fabricated into a resistive switching device, and the resistive switching behaviors were investigated. Endurance test results show the cycle-to-cycle variation of set and reset voltages. On/Off ratio in retention test was found to be in the order of ~105 which proves …

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Design Of Dual-Band Mimo Decoupling Network, Min Li, Lijun Jiang, Kwan Lawrence Yeung Jan 2022

Design Of Dual-Band Mimo Decoupling Network, Min Li, Lijun Jiang, Kwan Lawrence Yeung

Electrical and Computer Engineering Faculty Research & Creative Works

In the past decades, kinds of decoupling approaches were used to improve isolation among multiple-input multiple-output (MIMO) antennas, such as defected ground structure (DGS) [1], parasitic structure [2], decoupling network (DN) [3], etc. However, most were applied to single-band antennas. Dual-band decoupling is still challenging. This paper proposes a method to design the dual-band DN [4] with an arbitrary frequency band ratio (f2/f1). Besides, the proposed DN has a wideband decoupling performance.

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Modeling Of Spatial-Temporal Sea Clutter With I/Q Components Based On The Data-Driven Approximation Of Koopman Theory, Y. M. Zhang, L. (Lijun) J. Jiang Jan 2022

Modeling Of Spatial-Temporal Sea Clutter With I/Q Components Based On The Data-Driven Approximation Of Koopman Theory, Y. M. Zhang, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a novel data-driven approximation of the Koopman theory algorithm is proposed to simulate the coherent and spatial-temporal correlated sea clutter. The evolution of sea clutter's in-phase and quadrature (I/Q) components are well simulated on the state space. Meanwhile, the amplitude distribution and the phase retrieval of sea clutter can be extracted and modeled. The experimental sea clutter data measured by the IPIX radar is used to demonstrate that this newly proposed data-driven approximation of the Koopman theory algorithm can simulate the sea clutter with the phase retrieval, the expected amplitude information, and the spatial-temporal relationship. Our work …

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Graphene-Based Terahertz Holographic Conformal Antenna, Peng Fei Ren, Li (Lijun) Jun Jiang, Ping Li Jan 2022

Graphene-Based Terahertz Holographic Conformal Antenna, Peng Fei Ren, Li (Lijun) Jun Jiang, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, a conformal graphene holographic antenna designed for terahertz (THz) band is proposed. The radiation principle of the proposed pattern reconfigurable antenna is based on the holographic technology. The surface reactance modulation and pattern steering capability can be easily facilitated by a tunable DC-biased graphene patch array. Thanks to the super thin structure and excellent mechanical property of graphene, the proposed THz graphene holographic antenna can be designed conformal to required platforms easily. Besides, the equal size as well as same spacing of graphene patches make it easy to modeling and manufacture. To verify the proposed idea, an …

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Analysis Of The Shielding Effectiveness Of Chassis Based On Dgtd Method, Zheng Lang Jia, Lei Zhao, Zhao Sheng Xue, Ying Liu, Huan Huan Zhang, L. (Lijun) J. Jiang Jan 2022

Analysis Of The Shielding Effectiveness Of Chassis Based On Dgtd Method, Zheng Lang Jia, Lei Zhao, Zhao Sheng Xue, Ying Liu, Huan Huan Zhang, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An electromagnetic simulation method is proposed for shielding effectiveness (SE) of chassis in this paper. The discontinuous Galerkin time-domain (DGTD) equation is established based on Maxwell's equation. The uniaxial perfectly matched layer (UPML) is used as an absorbing boundary condition to simulate an open space. At last, the method is applied to analyze the effect of the aspect ratios of rectangular apertures on shielding effectiveness.

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Electromagnetic-Thermal Co-Simulation Of Microstrip Filter, Xin Yi Liu, Zheng Lang Jia, Huan Huan Zhang, Ying Liu, W. E.I. Sha, L. (Lijun) J. Jiang Jan 2022

Electromagnetic-Thermal Co-Simulation Of Microstrip Filter, Xin Yi Liu, Zheng Lang Jia, Huan Huan Zhang, Ying Liu, W. E.I. Sha, L. (Lijun) J. Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

An electromagnetic-thermal co-simulation method is proposed for microstrip filter in this paper. The Maxwell equation is solved by discontinuous Galerkin time-domain (DGTD) method, while thermal simulation is carried out based on finite-element time-domain (FETD) method. Electromagnetic and thermal simulations are coupled by power loss and temperature-dependent conductivity. At last, the method is applied to analyze the microstrip low-pass filter.

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Simulation Study Of A Probabilistic Measurement Terminator For Cloud Radar Systems Using Cloudsat Data, Jakob Delong, Joel T. Johnson Jan 2022

Simulation Study Of A Probabilistic Measurement Terminator For Cloud Radar Systems Using Cloudsat Data, Jakob Delong, Joel T. Johnson

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel probabilistic method that is used to identify low-SNR measurements in a cloud profiling radar application and terminate them before completion to save resources. The method uses a statistical model to predict the final SNR level of a measurement in progress and terminate it if it falls below a specified threshold at a specified level of confidence. The method is applied in a simulation study in which radar backscattered power profiles are obtained from CloudSat radar data, and is shown to achieve favorable performance.

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Waste Cooking Oil Management In Egypt: Production Of Biodiesel-Development Of Rapid Test Method, Marwa Mohamed, Nourhan Sherif, Omar Aboelazayem, Hany A. Elazab, Mamdouh Gadalla, Basudeb Saha Jan 2022

Waste Cooking Oil Management In Egypt: Production Of Biodiesel-Development Of Rapid Test Method, Marwa Mohamed, Nourhan Sherif, Omar Aboelazayem, Hany A. Elazab, Mamdouh Gadalla, Basudeb Saha

Chemical and Biochemical Engineering Faculty Research & Creative Works

According to the United Nations Office for South-South Cooperation (UNOSSC) report in 2017, Egypt produced 500,000 tonnes of WCO from various resources including food industries, restaurants and hotels. Based on our previous funded project, we have reported unique properties for Egyptian WCO as it has very high range acidity (≈18 mg KOH/ g oil) due to the extensive usage of oil in the cooking process. Further, the repeated heating of cooking oil for long time produces carcinogenic compounds that have significant impact on people health. On the other hand, high acidity WCO could be valorised into soap, biodiesel and value …

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Feature Learning For Optimal Control With B-Spline Representations, Vinay Kenny, Sixiong You, Chaoying Pei, Ran Dai Jan 2022

Feature Learning For Optimal Control With B-Spline Representations, Vinay Kenny, Sixiong You, Chaoying Pei, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The paper develops a feature learning-based method to solve optimal control problems using B-splines to approximate the optimal solutions. The feature learning-based optimal control method can quickly generate near-optimal trajectories for general optimal control problems subject to system dynamics and constraints. The steps in the proposed method are as follows: Firstly, by representing the state and control variables with B-spline functions, the optimal control problem is converted into an approximate nonlinear programming (NLP) problem, where parameters of the B-splines are identified as features of the optimal solution. Secondly, for a specific problem with designated inputs, a dataset of the optimal …

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Jointly-Learnt Networks For Future Action Anticipation Via Self-Knowledge Distillation And Cycle Consistency, Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ming-Chuan Leu, Ruwen Qin Jan 2022

Jointly-Learnt Networks For Future Action Anticipation Via Self-Knowledge Distillation And Cycle Consistency, Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ming-Chuan Leu, Ruwen Qin

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Future action anticipation aims to infer future actions from the observation of a small set of past video frames. In this paper, we propose a novel Jointly learnt Action Anticipation Network (J-AAN) via Self-Knowledge Distillation (Self-KD) and cycle consistency for future action anticipation. In contrast to the current state-of-the-art methods which anticipate the future actions either directly or recursively, our proposed J-AAN anticipates the future actions jointly in both direct and recursive ways. However, when dealing with future action anticipation, one important challenge to address is the future's uncertainty since multiple action sequences may come from or be followed by …

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Additive Manufacturing Of Continuous Carbon Fiber-Reinforced Sic Ceramic Composite With Multiple Fiber Bundles By An Extrusion-Based Technique, Ruoyu Chen, Adam Bratten, Joshua Rittenhouse, Ming-Chuan Leu, Haiming Wen Jan 2022

Additive Manufacturing Of Continuous Carbon Fiber-Reinforced Sic Ceramic Composite With Multiple Fiber Bundles By An Extrusion-Based Technique, Ruoyu Chen, Adam Bratten, Joshua Rittenhouse, Ming-Chuan Leu, Haiming Wen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Due to the high cost, complex preparation process and difficulty in structural design, the traditional methods for carbon fiber reinforced SiC ceramic composite preparation have great limitations. This paper presents a technique for the additive manufacturing multiple continuous carbon fiber bundle-reinforced SiC ceramic composite with core-shell structure using an extrusion-based technique. A conventional nozzle system was modified to print simultaneously a water based SiC paste with continuous carbon fibers. Different levels of binder contents were investigated to optimize the stickiness, viscosity, thixotropy and viscoelasticity of the paste. After sintering, SiC whiskers were generated on the surface of fiber, which is …

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