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Principal Component Neural Networks For Modeling, Prediction, And Optimization Of Hot Mix Asphalt Dynamics Modulus, Parnian Ghasemi, Mohamad Aslani, Derrick K. Rollins, R. Christopher Williams 2019 Iowa State University

Principal Component Neural Networks For Modeling, Prediction, And Optimization Of Hot Mix Asphalt Dynamics Modulus, Parnian Ghasemi, Mohamad Aslani, Derrick K. Rollins, R. Christopher Williams

Derrick K Rollins, Sr.

The dynamic modulus of hot mix asphalt (HMA) is a fundamental material property that defines the stress-strain relationship based on viscoelastic principles and is a function of HMA properties, loading rate, and temperature. Because of the large number of efficacious predictors (factors) and their nonlinear interrelationships, developing predictive models for dynamic modulus can be a challenging task. In this research, results obtained from a series of laboratory tests including mixture dynamic modulus, aggregate gradation, dynamic shear rheometer (on asphalt binder), and mixture volumetric are used to create a database. The created database is used to develop a model for estimating ...


Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham 2019 Iowa State University

Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham

Guiping Hu

Aggregating multiple learners through an ensemble of models aims to make better predictions by capturing the underlying distribution more accurately. Different ensembling methods, such as bagging, boosting and stacking/blending, have been studied and adopted extensively in research and practice. While bagging and boosting intend to reduce variance and bias, respectively, blending approaches target both by finding the optimal way to combine base learners to find the best trade-off between bias and variance. In blending, ensembles are created from weighted averages of multiple base learners. In this study, a systematic approach is proposed to find the optimal weights to create ...


Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns 2019 Missouri University of Science and Technology

Multi-Objective Evolutionary Neural Network To Predict Graduation Success At The United States Military Academy, Gene Lesinski, Steven Corns

Steven Corns

This paper presents an evolutionary neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A pareto-based, multi-objective evolutionary algorithm utilizing the Strength Pareto Evolutionary Algorithm (SPEA2) fitness evaluation scheme simultaneously evolves connection weights and identifies the neural network topology using network complexity and classification accuracy as objective functions. A combined vector-matrix representation scheme and differential evolution recombination operators are employed. The model is trained, tested, and validated using 5100 student samples with data compiled from admissions records and institutional research databases. The inputs to the evolutionary neural network model are used to classify ...


Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli 2019 Missouri University of Science and Technology

Densenet For Anatomical Brain Segmentation, Ram Deepak Gottapu, Cihan H. Dagli

Cihan H. Dagli

Automated segmentation in brain magnetic resonance image (MRI) plays an important role in the analysis of many diseases and conditions. In this paper, we present a new architecture to perform MR image brain segmentation (MRI) into a number of classes based on type of tissue. Recent work has shown that convolutional neural networks (DenseNet) can be substantially more accurate with less number of parameters if each layer in the network is connected with every other layer in a feed forward fashion. We embrace this idea and generate new architecture that can assign each pixel/voxel in an MR image of ...


Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli 2019 Missouri University of Science and Technology

Analysis Of Parkinson's Disease Data, Ram Deepak Gottapu, Cihan H. Dagli

Cihan H. Dagli

In this paper, we investigate the diagnostic data from patients suffering with Parkinson's disease (PD) and design classification/prediction model to simplify the diagnosis. The main aim of this research is to open possibilities to be able to apply deep learning algorithms to help better understand and diagnose the disease. To our knowledge, the capabilities of deep learning algorithms have not yet been completely utilized in the field of Parkinson's research and we believe that by having an in-depth understanding of data, we can create a platform to apply different algorithms to automate the Parkinson's Disease diagnosis ...


Deformation Of Multifunctional Materials At Various Time And Length Scales: A Dic-Based Study, Behrad Koohbor 2019 University of South Carolina

Deformation Of Multifunctional Materials At Various Time And Length Scales: A Dic-Based Study, Behrad Koohbor

Behrad Koohbor

The focus in the present work is to explore and characterize the underlying deformation and failure mechanisms in multifunctional materials including woven composites and polymeric foams, using full-field measurements. Attention has been especially drawn towards the challenges associated with characterizing these materials at extreme length and time scales, and investigating the advantages of full-field measurements to resolve the existing limitations. Accordingly, the current limitations in the study of dynamic deformation response of low-impedance materials are identified. An approach based on the general stress equilibrium is presented and successfully implemented to include the concurrent effects of inertia and material compressibility into ...


Our Envirome, Spring/Summer 2019, Issue 40, 2019 University of Louisville

Our Envirome, Spring/Summer 2019, Issue 40

Sustain Magazine

No abstract provided.


Plastic Pollution, Fall/Winter 2019, Issue 39.3, 2019 University of Louisville

Plastic Pollution, Fall/Winter 2019, Issue 39.3

Sustain Magazine

No abstract provided.


Plastic Pollution, Fall/Winter 2019, Issue 39.2, 2019 University of Louisville

Plastic Pollution, Fall/Winter 2019, Issue 39.2

Sustain Magazine

No abstract provided.


Plastic Pollution, Fall/Winter 2019, Issue 39, 2019 University of Louisville

Plastic Pollution, Fall/Winter 2019, Issue 39

Sustain Magazine

No abstract provided.


Effects Of Building Scale Parameters On Pressure Equalization Capacity Of Roof Paver Systems, Matthew Sparks 2019 The University of Western Ontario

Effects Of Building Scale Parameters On Pressure Equalization Capacity Of Roof Paver Systems, Matthew Sparks

Electronic Thesis and Dissertation Repository

Roof pavers are commonly installed with a cavity beneath the paver that develops an internal suction pressure. These cavity pressures reduce the net pressure felt by a roof paver subject to uplift. Paver-scale parameter effects are well-understood, in this study, the effects of changing building-scale parameters such as height, aspect ratio, afterbody length, small and large scale roof obstructions, and paver to roof size ratio on cavity pressures are investigated. To do so pressure measurements were taken at the University of Western Ontario’s Boundary Layer Wind Tunnel Laboratory on a modular flat roof building model at four different heights ...


Valorization Of Sewage Sludge Via Gasification And Transportation Of Compressed Syngas, Marek Mysior, Maciej Tomaszewski, Paweł Stepien, Jacek A. Koziel, Andrzej Białowiec 2019 Wrocław University of Science and Technology

Valorization Of Sewage Sludge Via Gasification And Transportation Of Compressed Syngas, Marek Mysior, Maciej Tomaszewski, Paweł Stepien, Jacek A. Koziel, Andrzej Białowiec

Agricultural and Biosystems Engineering Publications

A significant challenge in the utilization of alternative gaseous fuels is to use their energy potential at the desired location, considering economic feasibility and sustainability. A potential solution is a compression, transportation in pressure tanks, and generation of electricity and heat directly at the recipient. In this research, the potential for generating syngas from abundant waste substrates was analyzed. The sewage sludge (SS) was used as an example of a bulky and abundant resource that could be valorized via gasification, compression, and transport to end-users in containers. A model was developed, and theoretical analyses were completed to examine the influence ...


Locomotion Of A Cylindrical Rolling Robot With A Shape Changing Outer Surface, Michael G. Puopolo, Jamey D. Jacob, Emilio Gabino 2019 Missouri University of Science and Technology

Locomotion Of A Cylindrical Rolling Robot With A Shape Changing Outer Surface, Michael G. Puopolo, Jamey D. Jacob, Emilio Gabino

Michael G. Puopolo

A cylindrical rolling robot is developed that generates roll torque by changing the shape of its flexible, elliptical outer surface whenever one of four elliptical axes rotates past an inclination called trigger angle. The robot is equipped with a sensing/control system by which it measures angular position and angular velocity, and computes error with respect to a desired step angular velocity profile. When shape change is triggered, the newly assumed shape of the outer surface is determined according to the computed error. A series of trial rolls is conducted using various trigger angles, and energy consumed by the actuation ...


Scaffold Design Considerations For Soft Tissue Regeneration, Madeleine M. Di Gregorio 2019 The University of Western Ontario

Scaffold Design Considerations For Soft Tissue Regeneration, Madeleine M. Di Gregorio

Electronic Thesis and Dissertation Repository

Tissue engineering has emerged as a promising strategy for the replacement of degenerating or damaged tissues in vivo. Also known as regenerative medicine, integral to this therapeutic strategy is biomimetic scaffolds and the biomaterial structural components used to form them. In this study, three different biomaterial scaffolds for tissue engineering applications were fabricated: three-dimensional reverse embedded collagen scaffolds, polymer fusion printed polycaprolactone (PCL) scaffolds, and electrospun gelatin scaffolds. Three-dimensional collagen and PCL scaffolds promoted human adipose-derived stem/stromal cell (ASC) spreading, proliferation, and fibronectin deposition in vitro. Secondly, this study investigated the efficacy of exogenous galectin-3 delivery as a therapeutic ...


Numerical Studies On Hydrodynamics In Various Circulating Fluidization Systems, Zeneng Sun 2019 The University of Western Ontario

Numerical Studies On Hydrodynamics In Various Circulating Fluidization Systems, Zeneng Sun

Electronic Thesis and Dissertation Repository

Various circulating fluidized bed (CFB) systems including gas-solid fluidization, liquid-solid fluidization, and gas-liquid-solid three-phase fluidization are numerically studied. With a comprehensive knowledge from the experiments, improved computational fluid dynamic (CFD) models are developed for detailed investigations on a wide operating range in the gas-solid CFB (GSCFB) system. The CFD model developed is also extended to study two new types of fluidized beds, an inverse liquid-solid circulating fluidized bed (ILSCFB) and a bubble induced fluidized bed (BIFB), as a supplement to the experimental work.

Flow structures and transitions from low-density operations to high-density operations in both GSCFB riser and downer are ...


Individual Variability Of Functional Connectivity In Resting-State And Naturalistic Fmri Paradigms, Mark O'Reilly 2019 The University of Western Ontario

Individual Variability Of Functional Connectivity In Resting-State And Naturalistic Fmri Paradigms, Mark O'Reilly

Electronic Thesis and Dissertation Repository

Resting-state functional magnetic resonance imaging (fMRI) studies are criticized for their lack of control over cognitive states of individuals during observation, which may lead to increased variability in estimates of functional connectivity (FC). Engaging movies have been used in an attempt to synchronize the cognitive states of individuals during the scan, potentially reducing intersubject variability in connectivity estimates. The objective of this study was to investigate the differences in intersubject variability of FC between rest and movie conditions in a healthy cohort. The results demonstrate widespread reductions of intersubject variability of FC in the movie condition compared to the resting-state ...


Novel Coupling Smart Water-Co₂ Flooding For Sandstone Reservoirs; Smart Seawater-Alternating-Co₂ Flooding (Smsw-Agf), Hasan N. Al-Saedi, Ralph E. Flori 2019 Missouri University of Science and Technology

Novel Coupling Smart Water-Co₂ Flooding For Sandstone Reservoirs; Smart Seawater-Alternating-Co₂ Flooding (Smsw-Agf), Hasan N. Al-Saedi, Ralph E. Flori

Ralph E. Flori

CO2 flooding is an environmentally friendly and cost-effective EOR technique that can be used to unlock residual oil from oil reservoirs. Smart water is any water that is engineered by manipulating the ionic composition, regardless of the resulting salinity of the water. One CO2 flooding mechanism is wettability alteration, which meets with the main smart water flooding function. Injecting CO2 alone raise an early breakthrough and gravity override problems, which have already been solved using water alternating gas (WAG) using regular water. WAG is an emerging enhanced oil recovery process designed to enhance sweep efficiency during gas ...


Comparison Between Cold/Hot Smart Water Flooding In Sandstone Reservoirs, Hasan N. Al-Saedi, Ariel Williams, Ralph E. Flori 2019 Missouri University of Science and Technology

Comparison Between Cold/Hot Smart Water Flooding In Sandstone Reservoirs, Hasan N. Al-Saedi, Ariel Williams, Ralph E. Flori

Ralph E. Flori

The incremental oil recovery has been investigated and approved by many laboratory and field projects using water flooding in tertiary stage. The salinity of the injected water is an important factor observed by many researchers. The more salinity decreases the more oil recovery obtained. The investigations on the hot low salinity water flooding have been conducted by many researchers and they found out that it is useful for increasing oil recovery especially heavy oil due to reducing oil viscosity and make it easy to produce to the surface. The thermal expansion of water plays an important role in the incremental ...


Insights Into Low Salinity Water Flooding, Hasan N. Al-Saedi, Ralph E. Flori, Patrick V. Brady 2019 Missouri University of Science and Technology

Insights Into Low Salinity Water Flooding, Hasan N. Al-Saedi, Ralph E. Flori, Patrick V. Brady

Ralph E. Flori

In our previous work, we examined the potential of divalent cations (Mg2+ and Ca2+) in formation water (FW) for low-salinity (LS) EOR effect, where the increase in divalent cations in FW lowered the impact of LS water EOR.

In this paper, we demonstrate the importance of the same divalent cations in the injected water (both FW and LS water). We also try to relate the percentage of the divalent cations in the injected water to that in the FW to engineer the optimum concentration of the injected water and obtain the maximum oil recovery from sandstone reservoirs.

Berea ...


Pyrolysis Of Miscanthus And Products Characterization, Arshdeep Singh 2019 The University of Western University

Pyrolysis Of Miscanthus And Products Characterization, Arshdeep Singh

Electronic Thesis and Dissertation Repository

Miscanthus, an invasive crop, has recently gained attention as an emerging energy crop because of certain features such as adaptability to lower temperature, efficient use of water and nutrients, low or no need of nitrogen fertilizers, high biomass yield, fast growing cycle and less intensive agricultural cultivation practices than other energy crops, such as corn.

The literature review is focused on the value-added applications and conversion of Miscanthus for bioenergy and biomaterial applications. The thermochemical conversion technologies reviewed in this chapter include pyrolysis, liquefaction, torrefaction and gasification, whereas biochemical conversion technologies include enzymatic saccharification and fermentation.

In this work, Miscanthus ...


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