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Title: Evaluating Speech Separation Through Pre-Trained Deep Neural Network Models
Creator: Prabhakar, Deeksha
Date: 2023
Description: Speaker separation involves separating individual speakers from a mixture of voices or background noise, known as the "cocktail party problem....
Show moreSpeaker separation involves separating individual speakers from a mixture of voices or background noise, known as the "cocktail party problem." This refers to the ability to focus on a specific sound while filtering out other distractions.In this analysis, we propose the idea of obtaining features present in the original data and then evaluating the impact they have on the ability of the model to separate the mixed audio streams. The dataset is prepared such that these feature values can be used as predictor variables to various models like Logistic Regression, Decision Trees, SVM (both rbf and linear kernel), XGBoost, AdaBoost, to obtain the most contributing features that is the features that will lead to a better separation. These results shall then be analyzed to conclude the features that affect separating the audio streams the most. Initially, 400 audio streams are selected from the VoxCeleb dataset and combined to form 200 single utterances. After the mixes are obtained, the pre-trained Speechbrain model, sepformer-whamr is used. This model separates the audio mixes given as input and obtain two outputs that should be as close as possible to the original ones. A feature list from the 400 chosen audios is obtained and then the effect of certain features on the model's capability to distinguish between multiple audio sources in a mixed recording is assessed. Two analysis parameters- permutation feature importance and SHAP values are used to conclude which features have more effect on separation. Our hypothesis is that the features contributing the most to a good separation are invariant across datasets. To test this hypothesis, we obtain 1,000 audio streams from the Mozilla Common Voice Dataset and perform the same experimental methodology described above. Our results demonstrate that the features we extract from VoxCeleb dataset are indeed invariant and aid in separating the audio streams of the Mozilla Common Voice dataset.
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Title: Shared Authentic Leadership and Team Attitudes: The Role of Social Support and Team Diversity
Creator: Shu, Frank
Date: 2023
Description: Across 15 weeks, data from 48 interdisciplinary teams were collected to test the direct and indirect effects of shared authentic leadership on...
Show moreAcross 15 weeks, data from 48 interdisciplinary teams were collected to test the direct and indirect effects of shared authentic leadership on team attitudes (i.e., team work engagement & team satisfaction). Under the conservation of resources (COR) theory, team social support was considered a team resource, mediating the relationship between shared authentic leadership and team attitudes respectively. Functional diversity was also examined as a moderator between team social support and team attitudes. Results revealed that shared authentic leadership was a significant and positive predictor of team attitudes. However, team social support was not found to be a significant mediator. On the other hand, functional diversity was able to partially moderate the relationship between socio-emotional social support and team work engagement. A discussion of the results, strengths, and limitations of this study will be provided at the end of this manuscript.
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Title: Development of MIITRA T1w, DTI and FOD templates of the older adult brain in a common space
Creator: Wu, Yingjuan
Date: 2022
Description: Human brain atlases play an important role in neuroimaging studies and are commonly used as references for spatial normalization, tissue...
Show moreHuman brain atlases play an important role in neuroimaging studies and are commonly used as references for spatial normalization, tissue segmentation, automated brain parcellation, seed selection for functional connectivity analyses and fiber-tracking, or standards for algorithm evaluation. A brain atlas typically consists of brain templates of different imaging modalities in a common space and semantic labels that delineate brain regions according to the characteristics of the underlying tissue.High-quality T1-weighted (T1w) and diffusion tensor imaging (DTI) brain templates that are representative of the individuals under study enhance the accuracy of template-based neuroimaging investigations, and when they are also located in a common space they facilitate optimal integration of information on brain morphometry and diffusion characteristics. However, such multimodal templates have not been constructed for the brain of older adults. This thesis introduced an iterative method for construction of multimodal T1w and DTI templates that aims at maximizing the quality of each template separately as well as the spatial matching between templates. The performance of the proposed method was evaluated across iterations and was compared to the performance of state-of-the-art multimodal template construction approaches based on multichannel registration. Using the proposed method, along with other recently developed techniques, high-quality T1w and DTI templates of the older adult brain were developed in a common space at 0.5mm resolution for the MIITRA atlas. In this thesis, the new templates were compared to other available templates in terms of the image quality, inter-subject and inter-modality spatial normalization accuracy achieved when used as a reference, and the representativeness of the older adult brain. Furthermore, as fiber orientation distribution (FOD) model is capable of resolving intravoxel heterogeneity, which overcomes the limitations of the DTI model especially in regions with complex neuronal microarchitecture, FOD template is in high demand to facilitate FOD-based, fixel-based analyses, white matter connectivity studies and white matter parcellations. In this thesis, several FOD template construction methods were compared and a FOD template was developed at 0.5mm resolution for the MIITRA atlas. Overall, the present work brought new insights into multimodal template construction, conducted a thorough, quantitative evaluation of available multimodal template construction methods, and generated much-needed high quality T1w, DTI and FOD templates of the older adult brain in a common space with 0.5mm resolution.
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Title: ENLARGED PERIVASCULAR SPACES IN COMMUNITY-BASED OLDER ADULTS
Creator: Javierre Petit, Carles
Date: 2020
Description: Enlarged perivascular spaces (EPVS) have been associated with aging, increased stroke risk, decreased cognitive function and vascular dementia...
Show moreEnlarged perivascular spaces (EPVS) have been associated with aging, increased stroke risk, decreased cognitive function and vascular dementia. Furthermore, recent studies have investigated the links of EPVS with the glymphatic system (GS), since perivascular spaces are thought to play a major role as the main channels for clearance of interstitial solutes from the brain. However, the relationship of EPVS with age-related neuropathologies is not well understood. Therefore, more conclusive studies are needed to elucidate specific relationships between EPVS and neuropathologies. After demonstration of their neuropathologic correlates, detailed assessment of EPVS severity could provide as a potential biomarker for specific neuropathologies.In this dissertation, our focus was twofold: to develop a fully automatic EPVS segmentation model via deep learning with a set of guidelines for model optimization, and to evaluate both manual and automatic assessment of EPVS severity to investigate the neuropathologic correlates of EPVS, and their contribution to cognitive decline, by combining ex-vivo brain magnetic resonance imaging (MRI) and pathology (from autopsy) in a large community-based cohort of older adults. This project was structured as follows. First, a manual approach was used to assess neuropathologic and cognitive correlates of EPVS burden in a large dataset of community-dwelling older adults. MR images from each participant were rated using a semiquantitative 4-level rating scale, and a group of identified EPVS was histologically evaluated. Two groups of participants in descending order of average cognitive impairment were defined based and studied. Elasticnet regularized ordinal logistic regression was used to assess the neuropathologic correlates of EPVS burden in each group, and linear mixed effects models were used to investigate the associations of EPVS burden with cognitive decline. Second, a fully automatic EPVS segmentation model was implemented via deep learning (DL) using a small dataset of 10 manually segmented brain MR images. Multiple techniques were evaluated to optimize performance, mainly by implementing strategies to reduce model overfitting. The final segmentation model was evaluated in an independent test set and the performance was validated with an expert radiologist. Third, the DL segmentation model was used to segment and quantify EPVS. Quantified EPVS (qEPVS) were evaluated by combining ex-vivo MRI, pathology, and longitudinal cognitive evaluation. EPVS quantification allowed to study qEPVS both in the whole brain and regionally. Two different qEPVS metrics were studied. Elastic-net regularized linear regression was used to assess the neuropathologic correlates of qEPVS within each region of interest (ROI) under study, and linear mixed effects models were used to investigate the associations of qEPVS with cognitive decline. Finally, a preliminary study investigated the longitudinal associations of qEPVS with time. The DL segmentation model was re-trained using 4 in-vivo MR images. EPVS were segmented and quantified in a large longitudinal cohort where each participant was imaged at multiple timepoints. Factors that influenced segmentation performance across timepoints were evaluated, and linear mixed effects models controlling for these factors were used to investigate the associations of qEPVS with time.
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Title: Optimization of Large-Scale NOMA With Incidence Matrix Design and Physical Layer Security
Creator: Hwang, Eli W.
Date: 2024
Description: The Non-Orthogonal Multiple Access (NOMA) system is recognized for its capability to achieve higher spectral efficiency and massive...
Show moreThe Non-Orthogonal Multiple Access (NOMA) system is recognized for its capability to achieve higher spectral efficiency and massive connectivity. NOMA is intended to transmit massive user communications. The incidence matrix governs the relationship between users and resources for the Code domain NOMA (CD-NOMA). However, NOMA studies focus less on the design and optimization of the incidence matrix.Therefore, this thesis aims to investigate the development of a secure and large-scale NOMA system based on incidence matrix design. The main contributions are outlined as follows: Firstly, this research introduces a novel NOMA system. Distinct from existing studies, the NOMA system is based on combinatorial design. This innovative approach, coupled with a unique constellation design, eliminates the surjective mapping from the linear adding data of multiusers, reducing the complexity of constellation design and Multiuser Detection (MUD). The characteristics of the incidence matrix designs, Simple Orthogonal Multi-Arrays (SOMA), are explored, which display a distinct Latin Square pattern. The SOMA design's unique structure allows for the creation of a highly flexible and fair resource allocation matrix. The NOMA system's theoretical performance analysis equations are established, supporting dynamic adaptability and optimization. The design is validated by Monte Carlo simulation. Compared to other NOMA schemes, it offers higher degrees of freedom and lower complexity while maintaining graceful error rates to transmit a larger number of users. Secondly, a novel NOMA system utilizing incidence matrix information in the uplink is investigated. The incidence matrix pattern is exploited for MUD to achieve large-scale user connectivity. The incidence matrix is designed based on two critical mathematical concepts: parallel classes in hypergraph theory and orthogonal arrays (OAs) in combinatorial designs. Unlike other NOMA schemes, which require modification of their receiver and transmitter to decode superimposed multiuser signals, the unique pattern of the OA structure enables the use of conventional modulators. Consequently, the system load increases and the complexity and latency are reduced. The order of magnitude of the decoding complexity can be significantly reduced from O(N^3) to O(N) compared to the conventional minimum mean-square estimation (MMSE) decoder. Monte Carlo simulation validates that this novel NOMA system outperforms other NOMA designs in terms of error rate, data rate, and system size. Finally, a reconfigurable convolutional encoder design that integrates security and error correction based on physical layer security (PLS) and randomness is developed. This design addresses concerns over privacy, security, and reliability of Internet of Things devices in edge computing networks. The lightweight Convolutional encoders are designed to ensure security by updating the transfer function dynamically with user data. The reconfigurability of the design is achieved by replacing the fixed adder that represents the generator polynomials with the switch adder, enabling the use of 87 billion distinct updating structures, thereby enhancing the versatility of the design. BER-based PLS paradigms are demonstrated in the simulation. In the simulation, the robustness and randomness of this design are further validated through tests suggested by the National Institute of Standards and Technology for cryptographically secure pseudorandom number generators, such as the monobits, longest one, and run tests.
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Title: A 4-Phase Flow Model for Methane Production from an Unconsolidated Hydrate Reservoir
Creator: Hinz, Deniz
Date: 2019
Description: Natural gas from hydrates is extremely abundant as an energy resource; US resource-grade hydrate deposits are estimated to be over 20 times...
Show moreNatural gas from hydrates is extremely abundant as an energy resource; US resource-grade hydrate deposits are estimated to be over 20 times the domestic proved natural gas resources, at approximately 7000 trillion cubic feet (tcf). The theoretical potential of hydrates is immense, but production testing and research remain lacking, which has led to the development of numerous hydrate production numerical simulators for consolidated porous media hydrate reservoirs. However, due to the onset of unconsolidated flow behavior upon significant hydrate dissociation, numerical models haven’t agreed well with the experimental data from the Mallik production tests. Hydrate contributes substantially to the strength of the sediment matrix, such that hydrate-bearing sediment ultimately falls apart exhibiting 4-phase unconsolidated flow behavior of gas, water, hydrate, and sand. In order to better capture the multiphase flow characteristics of gas, water, hydrate, and sand in an unconsolidated gas hydrate reservoir, we have developed a novel 4-phase flow model coupled with numerical simulation of the Mallik 2007/2008 production tests. The model is able to capture the coupled 4-phase hydrodynamics, mass transfer, and heat transfer physics inherent to the unconsolidated hydrate reservoir. Solid deformation is modeled by extending multiphase and granular flow theory to hydrate-bearing sediment. Constitutive models for the solid viscosity and solid pressure are developed to model the change in strength of the sediment as hydrate dissociates and the solid deforms. The solid viscosity is a composite of frictional contributions from the solid normal stress and cohesive contributions from the hydrate. The interphase momentum exchange between the fluid phases (gas and water) and solid phases (hydrate and sand) modeled based on a volume-averaged approach that considers the formation and closure of high-permeability volumes due to dilation and compaction of hydrate-bearing sediment as it deforms. By considering the deformation of solids and the subsequent effect on the permeability, the 4-phase simulations showed good agreement with the experimental data from the Mallik 2007/2008 production phases. The 4-phase modeling approach serves as a proof of concept for the application of granular flow theory to hydrate-bearing sediment. An unconsolidated hydrate reservoir with sustained sand production essentially behaves like a naturally fracking reservoir, exhibiting a dramatic increase in permeability induced solely by depressurization. Conversely, preventing sand production with a sand screen ultimately leads to significant throttling of the gas production rate due to the compaction and accumulation of sand at the sand screen.
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Title: DECISION SUPPORT SYSTEM FOR THE SELECTION OF BUILDING COMPONENTS USING MAINTAINABILITY PRINCIPLES
Creator: Liu, Xuanchang
Date: 2019
Description: Maintainability of a building component refers to how easy it is to maintain the component with minimum cost and downtime. Unfortunately,...
Show moreMaintainability of a building component refers to how easy it is to maintain the component with minimum cost and downtime. Unfortunately, maintainability issues do not receive enough attention in the design stage and cause serious problems in the post-construction stage such as increasing the life cycle cost of the facility, wasting maintenance materials, and unsatisfactory user experience because of downtime. These problems can be prevented if a tool is available that can help designers make the selection for building components based on maintainability in the design stage. This study aims to develop such a tool that allows designers to evaluate a building’s components relative to maintainability and that helps designers to make a maintainability-based selection in the design stage. To achieve this purpose, this study first identifies a checklist of maintenance actions for components of building systems, in this study condensers. Then, a condenser selector system is developed by coding in Java language. Users can run this selector with any browser with or without a connection to the Internet. This condenser selector system relies on a database that is populated by data about maintenance actions obtained from condensers’ guidebooks or from manufacturers. When using the selector, designers can customize the tool according to their preferences or conditions. At the end, the selector ranks the condensers in the database and allows the designer to make an informed maintainability-based selection. The prototype component selection system is a prototype, but can be expanded by augmenting the system to include other components too. Ideally, a maintainability-based selection tool should include all models of all components in building systems. Such a system could be a significant improvement in the current design practice. Considering the maintainability of components in the design stage could enhance maintenance and facility management.
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Title: Photochemical Reaction of Covalent Organic Frameworks: Probing the Changes in Surface Area and Topology of the Frameworks
Creator: Ye, Yuxin
Date: 2019
Description: Covalent organic frameworks (COFs) are a new class of 2-dimensional or 3-dimensional polymers that have rigid and porous structures. COFs are...
Show moreCovalent organic frameworks (COFs) are a new class of 2-dimensional or 3-dimensional polymers that have rigid and porous structures. COFs are widely applied in gas storage, catalysts, photo conductivity, and drug delivery. Since the applications of COFs are highly related to their structures, it is necessary to learn the stability of COFs under certain conditions. In this research, the stability of COFs towards light was mainly focused on. A new tetraphenyl substituted ketone based COF was synthesized and characterized with Fourier transform infrared spectroscopy, scanning electron microscopy, differential scanning calorimetry, ultraviolet-visible spectroscopy, and powder X-ray diffraction. Infrared spectra proved that this new COF can undergo Norrish type I reaction to release carbon monoxide under UV irradiation, while main structure of this COF was not broken. This thesis will detailly discussed the synthesis and characterization of this new COF, as well as the building blocks, linkers, and other precursors. This thesis will give some inspirations in the study of energy transfer in covalent organic frameworks.
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Title: MULTI-OBJECTIVE OPTIMIZATION FOR LEED - NEW CONSTRUCTION USING GENETIC ALGORITHMS
Creator: ALOTHAIMEEN, IBRAHEEM
Date: 2018
Description: In the U.S., the building sector is responsible for 73% of electricity usage, 38% of CO2 emissions, and 13.6% of potable water. These data...
Show moreIn the U.S., the building sector is responsible for 73% of electricity usage, 38% of CO2 emissions, and 13.6% of potable water. These data indicate that the construction industry negatively impacts the global environment and natural resources. The concept of “sustainability” was introduced to set guidelines for the construction industry to limit its negative environmental impact. To promote sustainability in the construction industry, many organizations have introduced guidelines and rating systems for buildings. One of these rating systems is Leadership in Energy and Environmental Design (LEED) which is the most globally acknowledged system.Although LEED excels in reducing the negative environmental impacts and the energy consumption of buildings, the high costs in the early phases associated with the implementation and pursuit of LEED certification are pushing away some project owners from entering the process. Therefore, to balance these objectives in sustainable projects, an approach which optimizes multiple objectives is needed. In this study, a multi-objective optimization framework, which uses Non-dominated Sorting Genetic Algorithm-II (NSGA-II), is proposed to find the optimal solution in terms of life-cycle cost and sustainability for a new construction project pursuing LEED v4 BD+C certification. A BIM project of a 3-floor educational building was selected as a case study in the research. The study case is used to verify the efficiency and soundness of the proposed model. The results show that the method does indeed lead to optimal solutions.
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Title: QUINODIZATION REACTION OF NAPHTHALENE DIIMIDES TO AFFORD NOVEL P-NAPHTHOQUINODIMETHANE LIGHT-HARVESTING CHROMOPHORES: AROMATICITY, PHOTOPHYSICS AND APPLICATION FOR PHOTON UPCONVERSION
Creator: Shokri, Siamak
Date: 2018
Description: ABSTRACT The chemistry and aromaticity of polycyclic benzenoid hydrocarbons have been a topic of intensive investigations since the early 19th...
Show moreABSTRACT The chemistry and aromaticity of polycyclic benzenoid hydrocarbons have been a topic of intensive investigations since the early 19th century. The concept of aromaticity has played a crucial role in organic chemistry and related fields; and it expanded very rapidly for its ability to explain the stability, electronic structures and physical properties of π-conjugated molecules. Besides benzenoid structures, chemists have also investigated quinoidal systems, which have been shown to exhibit unique aromaticity and physical properties in the ground state. Notably, it is customary to draw quinoidal polycycles as a mixture of closed– and open–shell structures. While closed–shell quinoids do exhibit interesting physical and electronic properties, the open–shell forms can be related to benzenoids with the presence of radicals or unpaired electrons. In this context, it has been demonstrated that open–shell quinoids can have both singlet and triplet multiplicity in their ground state. In this thesis, I will demonstrate that this feature can be tuned/suppressed through clever design of the molecular framework that contains a quinoidal moiety. Often, quinoids can be labeled as aromatic like benzenoids or (anti)/pro-aromatic depending on the molecular framework. Before labeling a quinoidal compound as aromatic or (anti)/pro-aromatic, it is important to define the different aromaticity rules and their influence on the corresponding physical and electronic properties of the system(s) of interest. Chemists have relied on two main aromaticity rules (Hückel vs. Baird) to predict the nature, electronic, and physical properties of quinoidal structures and related systems. We proposed and synthesized novel quinoidal naphthalene derivatives (QDM) that exhibit “compromised” aromaticity in the ground state. A combination of computation and photophysical methods were employed to: i) decipher the reaction mechanism during the formation of the new poly-heterocyclic structures, ii) investigate their ground state and excited state opto-electronic properties, and iii) explore the nature and aromaticity of the corresponding excited state species. Additionally, the QDM was used as light-harvesting triplet sensitizers to achieve photon upconversion. This dissertation will first present a historical perspective in the investigation of various polycyclic aromatic systems that exhibit interesting aromaticity. Then, in chapter 2, I will detail the synthetic route and corresponding mechanism during the preparation of thio-QDM. The characterization and photophysical properties including the transient absorption spectra and excited state dynamics and kinetics of these chromophores will also be discussed. In chapter 3, I will discuss the use of QDM as light-harvesting energy donor to sensitize perylene and achieve triplet-triplet annihilation photon upconversion. The mechanism of this non-linear photophysical process will also be highlighted. Finally, the conclusion chapter will introduce future perspectives in the synthesis of derivatives of QDM.
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Title: INDUSTRIALIZED BUILDING CONSTRUCTION MODELS FOR TORNADO AFTERMATH RECOVERY
Creator: Alves de Carvalho, Augusto
Date: 2019
Description: Some researchers have reported that the number of disasters is expanding in scale and occurrences. Today, humanity occupies more land than...
Show moreSome researchers have reported that the number of disasters is expanding in scale and occurrences. Today, humanity occupies more land than forty years ago. Due to this, existing communities are prone to higher chances of being affected by disasters. Consequently, the number of natural disasters and losses have increased through time. Recent research work indicates that construction of new houses takes the majority of the recovery time; for example, In Joplin tornado aftermath, the development of new houses took the longest part of the recovery time (D. J. Smith & Sutter, 2013). The disaster industry sees housing and shelter as a product. The procurement is done on a necessity basis. The product --tents, inter-shelters, trailers, permanent dwellings, or any property to rent-- has to be ready whenever required. Therefore, after calculating the construction capacity in tornado regions, a methodology is proposed to compare four different robust industrialized building construction alternatives, keeping components, modules, and pieces in stock. Comparing them will provide information about which format is more appropriate for a profitable company or even a public entity, to respond and recover from a disaster faster.
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Title: The Role of Ethnic Similarity, Perceived Communication Style Deviation, and Cultural Intelligence in Leader-Member Exchange and Trust
Creator: Polyashuk, Yelena
Date: 2019
Description: This study examined those factors that contribute to a better working relationship between a leader and a subordinate or make that working...
Show moreThis study examined those factors that contribute to a better working relationship between a leader and a subordinate or make that working relationship challenging. Specifically, we investigated the effect of ethnic configuration within the leader-subordinate dyad and perceived dissimilarity on Leader-Member Exchange (LMX) and trust. Communication style deviation was tested as a mediator between actual, as well as perceived dissimilarity and relational outcomes. Cultural Intelligence (CQ) was included as a moderator, the presence of which could ameliorate the negative impact of dissimilarity on LMX and trust. In order to test these predictions, a survey was administered to 614 participants. Participants were working students at an urban, Midwestern, public university. Results showed that in presence of low CQ among respondents, there was a negative impact of ethnic dissimilarity on LMX. However, no impact of ethnic similarity/dissimilarity on trust was found. Specific dyad composition of the leader-subordinate dyad had no significant impact on LMX or trust. Finally, communication style deviation partially mediated the relationship between perceived dissimilarity and the two outcome variables of LMX and trust. These findings revealed that in order to build a high-quality relationship within an ethnically diverse leader-subordinate dyad, both CQ and alignment in communication style are of consequence.
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Title: Unsupervised Learning of Visual Odometry Using Direct Motion Modeling
Creator: Andrei, Silviu Stefan
Date: 2020
Description: Data for supervised learning of ego-motion and depth from video is scarce and expensive to produce. Subsequently, recent work has focused on...
Show moreData for supervised learning of ego-motion and depth from video is scarce and expensive to produce. Subsequently, recent work has focused on unsupervised learning methods and achieved remarkable results which surpass in some instances the accuracy of supervised methods. Many unsupervised approaches rely on predicted monocular depth and so ignore motion information. Moreover, unsupervised methods which do incorporate motion information do so only indirectly by designing the depth prediction network as an RNN. Hence, none of the existing methods model motion directly. In this work, we show that it is possible to achieve superior pose estimation results by modeling motion explicitly. Our method uses a novel learning-based formulation for depth propagation and refinement which transforms predicted depth maps from the current frame onto the next frame where it serves as a prior for predicting the next frame's depth map. Experimental results demonstrate that the proposed approach surpasses state of the art techniques for the pose prediction task while being better or on par with other methods for the depth prediction task.
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Title: AN EMPIRICAL APPROACH TO GASSIFICATION PROCESS MODELING AND ASSESSMENT
Creator: Rahmaninejad, Fatemeh
Date: 2013-05-01, 2013-05
Description: There has been growing interest in estimating the flow rate and composition of fuel gases produced from gasification of coal and other...
Show moreThere has been growing interest in estimating the flow rate and composition of fuel gases produced from gasification of coal and other carbonaceous solid fuels. In general, coal gasification processes are complex, and because of the high costs associated with the experimental investigations, modeling and simulation tools are needed to assist with the design, analysis, and optimization of these complex processes. Most of the efforts in the development of gasifier models have focused on two different approaches; equilibrium modeling and kinetic modeling. The chemical equilibrium approach assumes the gasification reactions have sufficiently fast kinetics and reach global chemical reaction equilibria, which leads to over-prediction of the extent of the gasification reactions [1, 2, 3]. On the other hand, the kinetic based models require detailed knowledge of hydrodynamic and reaction kinetics of the heterogeneous and homogeneous chemical reactions [4, 5]. Because of the dependence of the product gas (composition and flow rate) on a broad ranges of certain key operating variables such as gasifier design, configuration, and coal type the gasification model needs to take into account the effect of those parameters based on available experimental data. In this study, a versatile and user-friendly gasifier simulation model was developed which incorporates a MS Excel interface aiming to provide a guide to gasification process analysis, evaluation and improvement. The model uses a set of empirical “default” correlations, for the reaction conversions that were obtained from xi regression analysis of the available experimental data to predict the syngas composition, flow rate, and performance of the gasifier based on the operating conditions specified by the user. The results of the parametric studies performed for assessment of the effect of operating conditions are discussed and presented.
M.S. in Chemical Engineering, May 2013
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Title: Pre-implant Brain Activation Modeling to Drive Placement of Depth Leads in White Matter for Direct Neurostimulation Therapy in Epilepsy
Creator: Cendejas Zaragoza, Leopoldo
Date: 2019
Description: A critical step towards applying direct brain stimulation therapy in focal onset epilepsy is to effectively interface with epileptogenic...
Show moreA critical step towards applying direct brain stimulation therapy in focal onset epilepsy is to effectively interface with epileptogenic neural circuits using a limited set of active contacts. This takes special relevance when interacting with networks that exhibit two or more foci. A strategy to influence the maximum extent of the epileptogenic circuit is to stimulate white matter pathways to enhance propagation to distant epileptic tissue.A significant number of elements must be considered in the clinical response to stimulation delivered directly to neuronal populations. These variables include: stimulation parameter settings, number and interdependence of anatomical targets, electrode number, electrode location and orientation, geometry or shape of the electrode contacts, contact polarity, biophysical properties of stimulated medium, andtrajectory of axonal bundles adjacent to the stimulation site.This document addresses the development of a computational model which takes into consideration all the mentioned variables to predict activation of distant sites via white matter pathways. A method to calculate the extracellular potential field, induced by the application of time-dependent stimulation waveforms, is discussed. Such a method considers both the anisotropic conductivity nature of neural tissue and the electrochemical phenomena of the electrode-tissue interface. The response of white matter fibers is then evaluated by solving a compartmental cable model based in the Hodgkin and Huxley membrane description.The model was integrated into a pre-surgical workflow and was used prospectively to guide stereotactic implantation of depth leads to apply direct neurostimulation therapy in four patients with refractory focal onset epilepsy.
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Title: Value of DER to distribution networks
Creator: Nasiri, Hiva
Date: 2019
Description: Distributed energy resources (DERs) provide various values to electric power systems. One of the challenges DER introduce is to determine what...
Show moreDistributed energy resources (DERs) provide various values to electric power systems. One of the challenges DER introduce is to determine what is the value of DER contributions to various sectors in distributed power systems. Analyzing such challenges require understanding the inherent variability of DERs and the uncertainty in hourly load. The value of DER is also a function of network conditions and its adaptability for responding to DERs and loading variations.The uncertain conditions in the planning and the operation of electric power systems make the DER valuation a complicated task which requires sophisticated analytical methods. DER valuation will be a critical issue for the power market operation as we try to determine the most economical and reliable generation portfolio to maximize social welfare. In the DER valuation, there is a stage in which the DER candidates are not located or sized properly, and the utility will provide an approximated solution in order to value DERs. In this thesis, DER valuation has been addressed initially using a stochastic analysis in order to determine a range of values. Once the range is determined, we calculate the economic viability of the values within the range. If DER can reduce the upgrade cost for delivering the load in a distribution system, then the proposed size and the location of DER will have viability. In addition, with the proposed method, a utility can decide on the cost and the methodology of mitigating contingencies by DERs and allocate that cost to the amount of DER for valuation. This is considered as the second phase of this valuation method.As the final phase of this thesis, different types of financial contracts are considered as part of valuation which can introduce additional merits to the utility operation. Recently, the concept of real options has been considered in electric power system projects. The real option analyses (ROA) concept has proven to be viable because of the variability in DERs and changes in real-time load as discussed in this dissertation. The DER valuation is highly case sensitive, and many special factors may have an effect on its value. In this thesis, the factors with the highest impact have been considered, however, there could be additional factors with lower impacts which usually depend on the utility planning and operation. The essence of such factors is further discussed as part of the future work are briefly explained at the end of the thesis.
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Title: Exploring the experience of work-family conflict among low-wage, immigrant workers
Creator: Pickett, Meghan
Date: 2019
Description: Work-family conflict is a well-studied and long-standing construct; however, there is a fundamental gap in our understanding of the construct...
Show moreWork-family conflict is a well-studied and long-standing construct; however, there is a fundamental gap in our understanding of the construct when it is applied to minority populations. The current study considered a unique group who sit at an intersection of challenges – low-wage, immigrant workers – to identify if traditional antecedents were predictive in this new group. Additional conceptualizations of work-family conflict are also considered. Results suggest that typical antecedents do not display the same significance and that alternative measures of work-family conflict should be considered. Conclusions and implications to the study of work-family conflict research are discussed.
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Title: Temporal and Spatial Properties of the Negative Bold Response in the DMN
Creator: Gholipour Picha, Saman
Date: 2024
Description: The Negative Blood Oxygen Level Dependent (BOLD) Response (NBR) remains less explored than its positive counterpart (PBR) in functional...
Show moreThe Negative Blood Oxygen Level Dependent (BOLD) Response (NBR) remains less explored than its positive counterpart (PBR) in functional Magnetic Resonance Imaging (fMRI) studies. This dissertation aims to advance the understanding of the NBR by investigating its task-specific spatial patterns, comparing its specificity to the PBR, validating its reproducibility across different subject groups, examining its relationship with functional connectivity patterns during cognitive tasks, and assessing its linearity with respect to stimulus duration.Firstly, we analyzed the spatial patterns of NBR and PBR across a diverse set of cognitive tasks using a novel paradigm that grouped twelve tasks into four cognitive domains. Our findings revealed that both NBR and PBR exhibit distinct, task-specific spatial patterns, with the NBR predominantly occurring within the Default Mode Network (DMN). Notably, the NBR demonstrated greater task specificity compared to the PBR, suggesting a unique role in differentiating cognitive processes. To validate these observations, we replicated the analyses in a separate cohort, confirming the reproducibility and consistency of the task-specific NBR spatial patterns across different subject groups. This consistency underscores the reliability of NBR patterns and their potential generalizability. Additionally, we investigated the functional connectivity patterns of major brain networks during cognitive tasks. Our analyses showed that functional connectivity within networks such as the DMN and the dorsal attention network (DAN) remained stable across different tasks. This implies that task-specific BOLD signal changes are likely not due to alterations in functional connectivity but result from local neural dynamics. Furthermore, we assessed the linearity of the NBR with respect to stimulus duration. Contrary to our initial hypothesis, the NBR did not exhibit a clear linear relationship with stimulus duration, differing from the established linearity of the PBR. This suggests fundamental differences in neurovascular coupling mechanisms between positive and negative BOLD responses and indicates that linear models may not suffice for accurately analyzing NBR data. Methodologically, we developed a robust fMRI data analysis pipeline incorporating motion correction, distortion correction using TopUp, spatial normalization via an in-house technique utilizing outputs from FreeSurfer and ANTs, and noise reduction through ICA-AROMA. This pipeline ensured high-quality preprocessing and reliable first-level statistical analyses. In conclusion, this research enhances the understanding of the NBR by highlighting its greater task specificity and non-linearity compared to the PBR. The findings emphasize the importance of considering both activation and deactivation processes in cognitive neuroscience. They have significant implications for theoretical models of brain function, analytical approaches in fMRI research, and potential clinical applications, paving the way for future investigations into the complex dynamics of neural activation and deactivation.
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Title: CO2 CAPTURE AND HYDROGEN PRODUCTION IN SORBENT ENHANCED WATER-GAS SHIFT (SEWGS) PROCESS WITH REGENERABLE SOLID SORBENT
Creator: Zarghami Khanehsar, Shahin
Date: 2015, 2015-07
Description: Carbon dioxide emission from fossil fuel combustion and its impact on global warming is one of the most critical environmental issues nowadays...
Show moreCarbon dioxide emission from fossil fuel combustion and its impact on global warming is one of the most critical environmental issues nowadays. Coal as a main source of produce energy is the most CO2-intensive fossil fuel. Advanced power generation processes that use gasification technology, such as Integrated Gasification Combined Cycle (IGCC), which offer higher efficiency, are among the leading contenders for power generation in the 21st century. In an IGCC process, because of high pressure, carbon dioxide in the fuel gas is at higher concentration, which can be captured and sequestered at lower costs. Utilization of regenerable MgO-based sorbents has been shown to be an effective method for capturing CO2 from gasification-based processes at elevated temperatures and pressures (i.e. p > 20 atm and 330° < T < 450°C). Low cost MgO based sorbent can be prepared through modification of natural dolomite. The reactivity of the sorbent in carbonation/regeneration cycles has a significant impact on the economics of the proposed regenerable process. Although the sorbent can be regenerated in successive cycles, the sorbent reactivity and capacity gradually decline during the cyclic process. Therefore, it is crucial to develop a better understanding on the role of the key parameters affecting the reactivity of the sorbent going through the cyclic carbonation/regeneration process. In this work, a systematic study on the sorbent preparation parameters (i.e., calcination temperature, calcination duration, calcination temperature ramp, potassium concentration, impregnation duration, drying temperature, re-calcination temperature, and re-calcination duration) was conducted to understand the effect of each parameter on the overall capacity and reactivity of the sorbent. The concentration of potassium additive (as carbonation reaction promoter) has the most significant effect on the reactivity of the sorbent and the optimum K/Mg molar ratio appears to be in the range of 0.1-0.16. The reactivity of the sorbent toward carbon dioxide at various operating conditions (i.e. temperature, CO2 concentration and steam concentration) was experimentally evaluated. The presence of steam significantly improves the reactivity of the sorbent which is attributed to formation of more favorable pore structure as well as the existence of a parallel carbonation reaction pathway involving the formation of a transient MgO.H2O* compound. The optimum carbonation reaction temperature in the presence of steam is around 380˚C. The effect of cycling on CO2 capture capacity of MgO-based sorbent was also experimentally investigated in this work. Series of carbonation/regeneration cycles (up to 25) have been carried out in a dispersed bed reactor to determine the effect of various variables on long term durability of the sorbent. The gradual loss of CO2 sorption capacity appears to be mainly due to loss potassium (a carbonation reaction promoter) in the cyclic process. Durability of the sorbents improves in the presence of steam, which is likely due to the favorable changes in the pore structure of the sorbents. A kinetic model was developed to fit the reactivity curves obtained from the dispersed bed tests at different operating conditions which was needed to predict the sorbent/catalyst performance in the regenerative process. Model parameters were defined and discussed for each of the operating conditions, as well as dispersed bed cyclic tests. Furthermore, the thermal behavior and the kinetics of partial decomposition of dolomite were studied in a dispersed-bed reactor to improve the reactivity of the sorbent. The microstructure and the nature of the solid products were found to be strongly dependent on the CO2 partial pressure near the reacting interface and on the decomposition temperature. A significant increase in the rate of the dolomite decomposition reaction was found in the presence of steam. Steam improves the kinetics of decomposition, modifies the radial distribution of the pores; and improves the connectivity of the pores inside the dolomite particles, which decreases the diffusion resistance of produced carbon dioxide inside the particle. A shrinking core model with variable product layer diffusivity was used to fit the experimental data and determine the kinetic parameters of the dolomite decomposition reaction. The results indicate that transport of CO2 across the reacting interface in the porous particle was the main limiting factor in the decomposition reaction at the experimental conditions investigated. A lab-scaled high-pressure/high-temperature packed-bed reactor was utilized to evaluate the performance of the sorbent in simultaneous water-gas shift reaction and sorbent carbonation environment. It was shown that the CO2 in the coal gas can be removed by regenerable MgO-based sorbents at temperatures around 350°C, and the CO2 removal can shift WGS reaction to enhance hydrogen production. Therefore, Sorbent Enhanced Water-Gas-Shift (SEWGS) can result in much higher hydrogen production without lowering the temperature, leading to higher overall process efficiency.
Ph.D. in Chemical Engineering, July 2015
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Title: An Experimental Investigation of Single Jet Heat Transfer with Surrounding Microjets
Creator: Ma, Weicong
Date: 2019
Description: An experimental investigation of a single main jet with surrounding microjets impinging on a flat heated surface was performed to understand...
Show moreAn experimental investigation of a single main jet with surrounding microjets impinging on a flat heated surface was performed to understand the role of the higher-speed microjets on the surface heat transfer. Eight microjets 45-degrees apart were fabricated on a circular disk mounted at the exit of the main jet axisymmetric. Heat transfer enhancement on the flat surface was evaluated by comparison with the results of a baseline single round jet with the same flow rate. The average Nusselt Number and the local Nusselt number in the radial direction are reported as functions of dimensionless nozzle-to-plate distance, dimensionless radial distance, and dimensionless mass flow rate ratio. Local Nusselt number contours are plotted as a function of radial position. The area-averaged Nusselt number and local Nusselt number beyond the near-field impingement jet region increases monotonically with increasing mass flow rate ratio and decreasing of nozzle-to-target distance. The local Nusselt number at the stagnation region shows a more complex behavior with the mass flow rate ratio and nozzle-to-target distance.
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