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Title: A fictitious domain solver for computation of the effective properties of material distributions generated by iterated affine maps
Creator: Brennan, Edward M.
Date: 2000
Collection: Electronic Theses & Dissertations

Title: A mathematical model for predicting optimal micro-perforated packaging
Creator: Zhang, Jin (Graduate of Michigan State University)
Date: 2015
Collection: Electronic Theses & Dissertations
Description: Micro-perforated packaging has been known to maintain the quality of fresh produceby increasing gas exchange volume through polymer films. Even though by far severalmathematical models have been proposed to predict gas exchange process of micro perforated films, to the best of author's knowledge, there are no statistical methods usedto analyze the models themselves. Therefore, the aim of this research was to employinverse problem technique (ordinary least square, sequential and bootstrap...
Show moreMicro-perforated packaging has been known to maintain the quality of fresh produceby increasing gas exchange volume through polymer films. Even though by far severalmathematical models have been proposed to predict gas exchange process of micro perforated films, to the best of author's knowledge, there are no statistical methods usedto analyze the models themselves. Therefore, the aim of this research was to employinverse problem technique (ordinary least square, sequential and bootstrap methods) tomodel gas exchange process of micro-perforated packaging based on a different approach, and to assess the validity of the prediction. The prediction model involved hydrodynamic flow (minor head loss theory) and diffusion flow (total pressure gradient ≠0). To better predict hydrodynamic flow, the entrance shape of micro perforations was analyzed under SEM. To test the prediction model, experimental data sets were evaluated together with a published data set. The predicted results had high agreement with both data groups, and all the predicted values fell within the asymptotic and bootstrap confidence and prediction bands showing the reliability of the model. Besides, the condition number (cond(J) =1) and bootstrap residual analysis further verified the validity of the model. Due to the slight difference from the reference boundary values, parameters in the model were also accurately estimated by inverse problem technique.
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Title: A novel algorithm of solvation free energy calculation : the KECSA-movable type implicit solvation model (KMTISM)
Creator: Wang, Ting (M.S. in Chemistry)
Date: 2015
Collection: Electronic Theses & Dissertations
Description: A number of theoretical methods have been developed for calculating solvation free energies for biological and chemical processes. In this paper an implicit solvation model, KECSA-Movable Type Implicit Solvation Model (KMTISM) is created by utilizing an energy sampling approach termed the “Movable Type” (MT) method, and a statistical energy function for solvation modeling, “Knowledge-based and Empirical Combined Scoring Algorithm” (KECSA). The solvation free energies can be obtained from the...
Show moreA number of theoretical methods have been developed for calculating solvation free energies for biological and chemical processes. In this paper an implicit solvation model, KECSA-Movable Type Implicit Solvation Model (KMTISM) is created by utilizing an energy sampling approach termed the “Movable Type” (MT) method, and a statistical energy function for solvation modeling, “Knowledge-based and Empirical Combined Scoring Algorithm” (KECSA). The solvation free energies can be obtained from the NVT ensemble partition function generated by the MT method within the implicit solvent model approximation. Several subsets from the Minnesota Solvation Database v2012 are selected to use as validation sets. The solvation free energies getting from KMTISM are compared with several solvation free energy calculation methods, including MM-GBSA and MM-PBSA. Comparison against a quantum mechanics-based polarizable continuum model is also discussed (Cramer and Truhlar’s Solvation Model 12).
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Title: A stochastic multi-scale model of stream-groundwater interaction in strongly heterogeneous porous medium and its application in southern Branch County, Michigan
Creator: Xinyu, Ye
Date: 2014
Collection: Electronic Theses & Dissertations
Description: In this paper, stream depletion is assessed by the approach of multi-scale geostatistics in stressed watershed, South Branch County, Michigan. The watershed is currently under large water demand and representative of the general failure to pass the online Water Withdrawal Assessment Tool. Due to the heterogeneity of porous medium and the high variability of hydrogeological parameters and scale, there is a deviation between field observations and simulated groundwater flow in those areas. The...
Show moreIn this paper, stream depletion is assessed by the approach of multi-scale geostatistics in stressed watershed, South Branch County, Michigan. The watershed is currently under large water demand and representative of the general failure to pass the online Water Withdrawal Assessment Tool. Due to the heterogeneity of porous medium and the high variability of hydrogeological parameters and scale, there is a deviation between field observations and simulated groundwater flow in those areas. The approach of multi-scale geostatistics model based on detailed lithological data and its application in numerical groundwater simulation can be used in stream depletion assessment. Specifically, the multi-scale transition probability geostatistics approach, supplemented with a 10m Digital Elevation Model, allows for a more realistic integration of heterogeneous medium into the development of correlated spatial variability of hydrogeological parameters at each spatial scale. This approach enables accurate simulation of complex hydrogeology, including vertical shift structural variation and aquifer thickness variations. Systematic hydrology models at the regional, local and site scale allows for simulations of integrated water budget analysis. These simulations are necessary to evaluate the water depletions of targeted streams and the surrounded protected area. The hydrology system is calibrated with the steady state water levels from 732 monitoring wells.The stability of transition probability geostatistics model depends on the distributions, the heterogeneity of simulated area and other factors. The results show that transition probability geostatistics model provides a reasonable distribution of materials in aquifer medium, improving numerical groundwater modeling in assessing water depletion in streams and venerable area.
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Title: An analysis of the risk and risk reduction of influenza virus infection through use of antimicrobial products
Creator: Chabrelie, Alexandre
Date: 2019
Collection: Electronic Theses & Dissertations
Description: Influenza is a pathogen of major concern, causing up to 79,000 deaths, 960,000 hospitalizations, and 49 million people sick per year in the US. One of the major route of transmission for influenza is by expelling viruses from coughing/sneezing onto surfaces, followed by transfer of viruses from surfaces to hands, and subsequently to facial mucous membranes.Therefore, routine cleaning and disinfection of surfaces is an important part of the environmental management of influenza A. While the...
Show moreInfluenza is a pathogen of major concern, causing up to 79,000 deaths, 960,000 hospitalizations, and 49 million people sick per year in the US. One of the major route of transmission for influenza is by expelling viruses from coughing/sneezing onto surfaces, followed by transfer of viruses from surfaces to hands, and subsequently to facial mucous membranes.Therefore, routine cleaning and disinfection of surfaces is an important part of the environmental management of influenza A. While the emphasis is generally on spraying hard surfaces and laundering cloth and linens with high temperature machine drying, not all surfaces can be treated in this manner. The quantitative microbial risk assessment (QMRA) approach was used to develop a stochastic risk model for estimating the risk of infection from indirect contact with porous surfaces, with and without surface pre-treatment with an antimicrobial spray product. The data collected from laboratory combined with the risk model show that the risk of influenza A infection can be lowered by four logs when using an antimicrobial spray on a porous surface. Median risk associated with a single touch to a contaminated fabric was estimated to be 1.25 x10-4 for the untreated surface, and 3.6 x10-8 for the treated surface. This single touch scenario was used to develop a generalizable model, allowing to estimate risks by comparing different cases related to more realistic 15 to 30 minutes exposure scenarios associated with multiple surface/face touches. The results of this study demonstrate the effective risk reduction associated with treating porous surfaces that cannot be laundered at high temperatures.
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Title: Analysis and design of resonant frequency control systems with applications
Creator: Smith, Daniel
Date: 2007
Collection: Electronic Theses & Dissertations

Title: Diffusion of physical and social inclusion within local public park and recreation agencies in Michigan
Creator: Rodriguez, Ariel
Date: 2002
Collection: Electronic Theses & Dissertations

Title: Dynamic boundary guarding against radially incoming targets
Creator: Bajaj, Shivam
Date: 2019
Collection: Electronic Theses & Dissertations
Description: In this modern era, every physical asset can be defined by a perimeter and guarding these perimeters is critical from a security and safety perspective. Recent growth in autonomous vehicle technology has led to assigning these monotonous tasks to the autonomous vehicles. This assignment requires design of a set of motion laws for these autonomous vehicles that are both effective and efficient, with provable bounds. This thesis focuses on designing of strategies for a single autonomous vehicle...
Show moreIn this modern era, every physical asset can be defined by a perimeter and guarding these perimeters is critical from a security and safety perspective. Recent growth in autonomous vehicle technology has led to assigning these monotonous tasks to the autonomous vehicles. This assignment requires design of a set of motion laws for these autonomous vehicles that are both effective and efficient, with provable bounds. This thesis focuses on designing of strategies for a single autonomous vehicle to intercept multiple targets. In this work, we introduce a dynamic vehicle routing problem in which a single vehicle seeks to guard a circular perimeter against radially inward moving targets. The aim of the vehicle is to maximize the capture fraction, i.e., the fraction of targets intercepted before they enter the perimeter. We first obtain a fundamental upper bound on the capture fraction which is independent of any policy followed by the vehicle. We analyze several policies in the low and high arrival rates of target generation. For low arrival, we propose and analyze a First-Come-First-Served and a Look-Ahead policy based on repeated computation of the path that passes through maximum number of unintercepted targets. For high arrival, we design and analyze a policy based on repeated computation of Euclidean Minimum Hamiltonian path through a fraction of existing targets and show that it is within a constant factor of the optimal. Finally, we provide a numerical study of the performance of the policies in parameter regimes beyond the scope of the analysis.
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Title: Experimental and mathematical models for Listeria monocytogenes transfer between delicatessen meats and contact surfaces
Creator: Benoit, Amanda Nicole
Date: 2013
Collection: Electronic Theses & Dissertations
Description: Currently, there is limited ability to follow Listeria monocytogenes through food-service environments, and there remain knowledge gaps concerning the underlying mechanisms that govern surface-to-surface transfer processes. Therefore, the objectives were to: (1) develop a method to quantify the spread of a physical surrogate, GloGerm^TM powder (GGP), between delicatessen meats and contact surfaces, and mathematically relate that to L. monocytogenes transfer under equivalent...
Show moreCurrently, there is limited ability to follow Listeria monocytogenes through food-service environments, and there remain knowledge gaps concerning the underlying mechanisms that govern surface-to-surface transfer processes. Therefore, the objectives were to: (1) develop a method to quantify the spread of a physical surrogate, GloGerm^TM powder (GGP), between delicatessen meats and contact surfaces, and mathematically relate that to L. monocytogenes transfer under equivalent conditions; and (2) aggregate existing transfer data and compare candidate models across different transfer scenarios to elucidate phenomenological differences attributable to contact surface or product type. GGP and L. monocytogenes inoculated pieces (8 x 8 cm), of turkey, ham, stainless steel, or high-density polyethylene were placed in contact with an uninoculated surface of an opposite material (i.e., meat vs. equipment surface) for 12 sequential transfers. The GGP curves (photographed and quantitatively analyzed via image processing) were fit to the corresponding L. monocytogenes data by a linear adjustment, noting that parameters for recipient surfaces did not differ significantly (P > 0.05). Linear, Weibull, and two-phase linear- Weibull models were fitted to transfer curves encompassing the major ready-to-eat meat products, equipment surfaces, and contact events. The most likely models were determined using the Akaike Information Criterion. For slicing data, model choice was product dependent, but static contact data yielded the same model regardless of the meat type or surface, indicating fundamental differences among transfer responses.
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Title: Experimental determination of a spinal linkage model for the seated human torso
Creator: Gedraitis, Melissa Sloan
Date: 1997
Collection: Electronic Theses & Dissertations

Title: Further investigation of a kinetic model to accurately predict evaporation of gasoline
Creator: Eklund, Natasha Kimberley
Date: 2019
Collection: Electronic Theses & Dissertations
Description: In fire debris analysis, analysts compare chromatograms of extracts of fire debris to a database containing chromatograms of ignitable liquid reference standards. Typically, the database will contain chromatograms of experimentally evaporated liquids. Unfortunately, experimentally evaporating ignitable liquids can be a time-consuming process. Previously, a mathematical model was developed with diesel that predicts the evaporation rate constant of compounds as a function of retention index (IT...
Show moreIn fire debris analysis, analysts compare chromatograms of extracts of fire debris to a database containing chromatograms of ignitable liquid reference standards. Typically, the database will contain chromatograms of experimentally evaporated liquids. Unfortunately, experimentally evaporating ignitable liquids can be a time-consuming process. Previously, a mathematical model was developed with diesel that predicts the evaporation rate constant of compounds as a function of retention index (IT). The model can be used to generate predicted chromatograms of evaporated liquids. In comparing predicted to experimental chromatograms, predictive accuracy was high for comparisons using diesel, torch fuel, and marine fuel stabilizer.This research aims to improve the predictive accuracy of the model with respect to gasoline and to test the feasibility of developing correlation coefficient ranges for the classification of an ignitable liquid residue as gasoline. Improvement of the predictive accuracy of the model involved changes to the instrumental parameters and data analysis procedures. The feasibility of development of PPMC coefficient ranges involved comparisons of predicted reference collections of a non-gasoline ignitable liquid to chromatograms of experimentally evaporated gasoline.
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Title: Kinetically modeling total ion chromatograms and extracted ion profiles to identify ignitable liquids for fire debris applications
Creator: Capistran, Briana Ashley
Date: 2020
Collection: Electronic Theses & Dissertations
Description: Identification of ignitable liquids in fire debris samples is typically conducted via comparison of total ion chromatograms (TICs) of such samples to reference collections containing chromatograms of common liquids. Due to the extent of liquid evaporation in fires, reference collections often contain TICs of ignitable liquids that have been experimentally evaporated to various levels; however, such evaporations can be time intensive. A kinetic model was developed to predict evaporation rate...
Show moreIdentification of ignitable liquids in fire debris samples is typically conducted via comparison of total ion chromatograms (TICs) of such samples to reference collections containing chromatograms of common liquids. Due to the extent of liquid evaporation in fires, reference collections often contain TICs of ignitable liquids that have been experimentally evaporated to various levels; however, such evaporations can be time intensive. A kinetic model was developed to predict evaporation rate constants of compounds as a function of GC retention index. The model can be applied to predict chromatograms of ignitable liquids at any evaporation level, alleviating the need to perform experimental evaporations. Previous work demonstrated good predictive accuracy of the model for petroleum distillate liquids and gasoline.In this work, the kinetic model was applied to ignitable liquids of the isoparaffinic, naphthenic-paraffinic, and aromatic ASTM classes. Predicted extracted ion profiles (EIPs) were generated in addition to TICs for each liquid, and good predictive accuracy of the model was demonstrated with PPMC coefficients as high as 0.9983. Reference collections containing predicted TICs and EIPs were generated. The TICs and EIPs of single-blind samples and large-scale burn samples were compared to the reference collections; in all cases, the correct ASTM liquid class was identified. Use of the EIP reference collection for the burn samples resulted in higher correlation compared to the TIC collection due to reduced substrate interferences. Overall, this work demonstrates the utility of a kinetic model for generating predicted reference collections as a tool in the identification of ignitable liquids for fire debris applications.
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Title: Lake model uncertainty analysis : a Lake Ontario case study using Monte Carlo simulation
Creator: Lee, V. David
Date: 1980
Collection: Electronic Theses & Dissertations

Title: Marine biosphere diversity through time : provinciality, global shelf area, and sediment survivorship
Creator: Eicher, Constance Carolyn
Date: 1978
Collection: Electronic Theses & Dissertations

Title: Microbial fuel cells : design, control-oriented modeling, and experimental results
Creator: Abul, Ali
Date: 2015
Collection: Electronic Theses & Dissertations
Description: There is no doubt about how crucial to have sustainable energy in this era. Researchers focus on fuel cells because of their high efficiency, environmental friendliness, and independence from limited sources, etc. Microbial fuel cell (MFC) is a promising technology that responds to the demand of sustainable energy. MFCs, similar to other fuel cells, use catalysts and produce electricity through chemical reactions during substrate break-down. In this case, MFCs use bacteria as the catalysts to...
Show moreThere is no doubt about how crucial to have sustainable energy in this era. Researchers focus on fuel cells because of their high efficiency, environmental friendliness, and independence from limited sources, etc. Microbial fuel cell (MFC) is a promising technology that responds to the demand of sustainable energy. MFCs, similar to other fuel cells, use catalysts and produce electricity through chemical reactions during substrate break-down. In this case, MFCs use bacteria as the catalysts to break down the organic matter. There have been control studies on fuel cells, specifically on hydrogen fuel cells, for various purposes. Because MFCs are still not well understood, similar control studies have not been adequately conducted. In this study, a control-oriented mathematical model for MFC dynamics is developed and analyzed. An MFC system is designed and developed, which has successfully demonstrated production of electricity. Experiments are conducted to identify the model parameters and validate the model. For the MFC prototype, \textit{G. sulfurreducens} strain PCA is used as the pure bacteria culture with the acetate as the substrate. The MFC used in this study adopts a membrane-less single-chamber configuration, and utilizes an air-cathode and a carbon-brush anode.Once the model is developed, the behavior of an MFC is analyzed using system theory. In particular, the equilibria of the system in the continuous mode, where the MFC is fed with the substrate at a constant rate are computed. Furthermore, Jacobian analysis and phase portraits are used to understand the stability properties of the equilibria.
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Title: Model-based estimation of AMT vehicle clutch kinetic friction coefficient
Creator: He, Yu (Graduate of Michigan State University)
Date: 2018
Collection: Electronic Theses & Dissertations
Description: Driving performance and fuel economy are two important factors that attracts customers choosing certain type of vehicles. Those two factors can be improved largely by adopting optimized transmission gear-shifting strategy. The kinetic clutch friction coefficient is important to know to develop an optimized gear-shifting algorithm.This thesis focus on estimating dynamic kinetic friction coefficient between two clutch plats of an automated manual transmission (AMT) vehicle when speed and...
Show moreDriving performance and fuel economy are two important factors that attracts customers choosing certain type of vehicles. Those two factors can be improved largely by adopting optimized transmission gear-shifting strategy. The kinetic clutch friction coefficient is important to know to develop an optimized gear-shifting algorithm.This thesis focus on estimating dynamic kinetic friction coefficient between two clutch plats of an automated manual transmission (AMT) vehicle when speed and temperature effects are involved. A Simulink model of an AMT vehicle was developed first, and a new friction coefficient estimation algorithm was then proposed and validated based on the developed Simulink model. Several case studies are completed for the proposed estimation algorithm and fairly good simulation results are presented at the end of thesis.
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Title: Modeling and simulation of strongly coupled plasmas
Creator: Chowdhury, Rahnuma Rifat
Date: 2016
Collection: Electronic Theses & Dissertations
Description: The objective of this work is to develop new modeling and simulation tools for studying strongly coupled plasmas (SCP). Strongly coupled plasmas are different from traditional plasmas as potential energy is larger than the kinetic energy. The standard plasma model does not account for some major effects in SCP: 1) the change in the permittivity 2) the impact on relaxation of the charged particles undergoing Coulomb collisions in a system with weakly shielded long range interactions3) the...
Show moreThe objective of this work is to develop new modeling and simulation tools for studying strongly coupled plasmas (SCP). Strongly coupled plasmas are different from traditional plasmas as potential energy is larger than the kinetic energy. The standard plasma model does not account for some major effects in SCP: 1) the change in the permittivity 2) the impact on relaxation of the charged particles undergoing Coulomb collisions in a system with weakly shielded long range interactions3) the impact of statistical fluctuations in strongly coupled plasmas that leads to non-Markovian effects. Proper modeling of such systems through consideration of Lévy flight processes gives rise to fractional derivatives in time that result in an incorporation of time history in the model. A Lévy flight is a random walk in which the steps are defined in terms of the step-lengths, which have a certain probability distribution, with the directions of the steps being isotropic and random. Lévy processes in the plasma give rise to fluctuations in medium through which the electromagnetic waves are propagating. Averaging over the Lévy processes will allow us to relate to other important parameters in the plasma.
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Title: Modeling maize (Zea mays L.) leaf development and apex temperature under different thermal environments
Creator: Vinocur, Marta Graciela
Date: 1997
Collection: Electronic Theses & Dissertations

Title: Modeling the impacts of barrier removal on Great Lakes sea lamprey
Creator: Jensen, Alexander James
Date: 2017
Collection: Electronic Theses & Dissertations
Description: Barriers in the Great Lakes represent an effective form of control for the invasive sea lamprey (Petromyzon marinus) by blocking large extents of river habitat and subsequently eliminating the need for the lampricide treatments in these upstream areas. With increasing pressure for barrier removals, the availability of suitable sea lamprey habitat above these barriers and the expected population response to dam removals represent key uncertainties in decision-making. The development and...
Show moreBarriers in the Great Lakes represent an effective form of control for the invasive sea lamprey (Petromyzon marinus) by blocking large extents of river habitat and subsequently eliminating the need for the lampricide treatments in these upstream areas. With increasing pressure for barrier removals, the availability of suitable sea lamprey habitat above these barriers and the expected population response to dam removals represent key uncertainties in decision-making. The development and evaluation of models to predict larval habitat quantities using readily-available, reach-scale landscape predictors improved our understanding of common influences on stream habitat, but failed to reliably predict habitat proportions upstream of barriers in the Lake Michigan drainage basin. Subsequent simulation-based modeling of the Lake Michigan sea lamprey population revealed a disproportionate, exponential response to increasing habitat availability, driven in part by decreasing overall lampricide treatment frequencies under a fixed control budget. The same modeling approach was used to generate sea lamprey population predictions associated with projected removal of Grand River's Sixth Street Dam under a suite of alternative management actions and biological assumptions. Based on all simulation results, barrier removals appear to necessitate a substantial increase in annual lampricide control costs to prevent disproportionate increases in sea lamprey abundance across the Lake Michigan basin.
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Title: Numerical integration of constitutive models applicable to metal foams
Creator: Modi, Abhishek
Date: 2004
Collection: Electronic Theses & Dissertations

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