Dissertations / Theses on the topic '120405 Models of Engineering Design'

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1

Bashir, Hamdi A. "Models for estimating design effort." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0034/NQ64508.pdf.

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2

LeBlanc, Andrew Roland. "Engineering design decomposition." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/16044.

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3

Jessop, Alan Thomas. "Multiattribute models for engineering evaluation." Thesis, Heriot-Watt University, 1999. http://hdl.handle.net/10399/1226.

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4

Peak, Russell Speights. "Product model-based analytical models (PBAMs) : a new representation of engineering analysis models." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/18379.

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5

Gonzalez-Zugasti, Javier P. (Javier Patricio) 1965. "Models for platform-based product family design." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/9300.

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Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2000.
Includes bibliographical references (p. 95-97).
Platform-based product families have been an effective way for companies to offer increased variety into markets, while containing the resulting complexity of developing large numbers of products. A product platform is the set of resources - components, processes, technologies, and knowledge - that are shared across multiple products offered by a firm. The products derived from that common platform are called the variants, and the set of variants forms a product family. This thesis presents a theoretical basis for modeling the design of platform-based product families, as well as practical implementations based on those models. The problem is formulated as an optimization, where the requirements of the desired variants must be balanced against family objectives, such as maximizing the value of developing the family. A general case is formulated that covers the effects of using a platform-based design on the benefits and investments required to produce the desired family. The problem is then simplified into a two-step optimization approach to apply it to actual design situations for complex products. The first stage considers the technical details of creating feasible product families that satisfy the variants' requirements while optimizing the expected value to the firm. The second stage evaluates the design alternatives generated by the first step, considering the effects of uncertainty during the actual development of the family on its value to the firm. This evaluation is then used to select the most appropriate choice of family design. A case study of the design of multiple NASA exploratory space missions based on alternative telecommunications technology platforms is shown. Applying the approach resulted in several alternative family designs, some of which had not been previously considered viable. The resulting candidate designs were evaluated through the use of decision analysis models developed in this thesis, which calculate the value to the firm of each design. Simulation was then used to evaluate the value of each alternative and its flexibility to changes in uncertain factors during the development process. As a reference, a Pugh-type selection method (a qualitative, multi-criteria approach) was also explored and applied to the example of platform-based spacecraft design.
by Javier P. Gonzalez-Zugasti.
Ph.D.
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6

Smith, Robert Paul. "Development and verification of engineering design iteration models." Thesis, Massachusetts Institute of Technology, 1992. http://hdl.handle.net/1721.1/12858.

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7

Gasparini, Riccardo. "Engineering Analysis in Imprecise Geometric Models." FIU Digital Commons, 2014. http://digitalcommons.fiu.edu/etd/1793.

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Engineering analysis in geometric models has been the main if not the only credible/reasonable tool used by engineers and scientists to resolve physical boundaries problems. New high speed computers have facilitated the accuracy and validation of the expected results. In practice, an engineering analysis is composed of two parts; the design of the model and the analysis of the geometry with the boundary conditions and constraints imposed on it. Numerical methods are used to resolve a large number of physical boundary problems independent of the model geometry. The time expended due to the computational process are related to the imposed boundary conditions and the well conformed geometry. Any geometric model that contains gaps or open lines is considered an imperfect geometry model and major commercial solver packages are incapable of handling such inputs. Others packages apply different kinds of methods to resolve this problems like patching or zippering; but the final resolved geometry may be different from the original geometry, and the changes may be unacceptable. The study proposed in this dissertation is based on a new technique to process models with geometrical imperfection without the necessity to repair or change the original geometry. An algorithm is presented that is able to analyze the imperfect geometric model with the imposed boundary conditions using a meshfree method and a distance field approximation to the boundaries. Experiments are proposed to analyze the convergence of the algorithm in imperfect models geometries and will be compared with the same models but with perfect geometries. Plotting results will be presented for further analysis and conclusions of the algorithm convergence
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8

Thompson, David Charles. "Feasibility of a skeletal modeler for conceptual mechanical design /." Full text (PDF) from UMI/Dissertation Abstracts International, 2000. http://wwwlib.umi.com/cr/utexas/fullcit?p3004386.

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9

Rios, Miguel. "Broadband networks design models and admission control algorithms." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0020/NQ48114.pdf.

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10

Shen, Su 1973. "Logistics service network design : models, algorithms, and applications." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/29424.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
Includes bibliographical references (leaves 177-186).
Service network design is critical to the profitability of express shipment carriers. In this thesis, we consider two challenging problems associated with designing networks for express shipment service. The first problem is to design an integrated network for premium and deferred services simultaneously. Related existing models adapted to this problem are intractable for realistic instances of this problem: computer memory requirements and solution times are excessive. We introduce a disaggregate information-enhanced column generation approach for this problem that reduces the number of variables to be considered in the integer program from hundreds of thousands to only thousands, allowing us to solve previously unsolvable problem instances. The second problem is to determine the express package service network design in its entirety, including aircraft routings, fleet assignments, and package flow routings, including hub assignments. Existing models applied to this problem have weak associated linear programming bounds and hence, fail to produce quality feasible solutions. For example, for a small network design problem instance it takes days to produce a feasible solution that is provably near- optimal using the best performing existing model. To overcome these tractability challenges, we introduce a new model, referred to as the gateway cover and flow formulation. Applying our new formulation to the same network design instance, it takes only minutes to find an optimal solution.
(cont.) Applying our disaggregate information-enhanced column generation approach and gateway cover and flow formulation and solution approach to the network design problems of a large express package service provider, we demonstrate tens of millions of dollars in potential annual operating cost savings and reductions in the numbers of aircraft needed to perform the service. Moreover, we illustrate that, though designed for tactical planning, our new model and solution approach can provide insights for strategic decision-making, such as hub opening/closure, hub capacity expansion, and fleet composition and size.
by Su Shen.
Ph.D.
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11

Marston, Matthew C. "Game based design : a game theory based approach to engineering design." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/15877.

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12

Park, Hyo Seon. "Neural dynamics models for integrated optimum design of large steel structures." Connect to resource, 1995. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1239621706.

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13

Nukala, Murthy V. R. K. N. "Generalized models of design iteration using signal flow graphs." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/11486.

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14

Hu, Cheng Lin. "Design optimization of fuzzy models in system identification." Thesis, University of Macau, 2010. http://umaclib3.umac.mo/record=b2493501.

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15

Seitz, Timothy M. "Linearizing and Distributing Engine Models for Control Design." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1373728747.

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16

Viriththamulla, Gamage Indrajith. "Mathematical programming models and heuristics for standard modular design problem." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185431.

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In this dissertation, we investigate the problem of designing standard modules which can be used in a wide variety of products. The basic problem is: given a set of parts and products, and a list of the number of each part required in each product, how do we group parts into modules and modules into products to minimize costs and satisfy requirements. The design of computers, electronic equipments, tool kits, emergency vehicles and standard military groupings are among the potential applications for this work. Several mathematical programming models for modular design are developed and the advantages and weaknesses of each model have been analyzed. We demonstrate the difficulties, due to nonconvexity, of applying global optimization methods to solve these mathematical models. We develop necessary and sufficient conditions for satisfying requirements exactly, and use these results in several heuristic methods. Three heuristic structures; decomposition, sequential local search, and approximation, are considered. The decomposition approach extends previous work on modular design problems. Sequential local search uses a standard local solution routine (MINOS) and sequentially adds cuts on the objective function to the original model. The approximation approach uses a "least squares" relaxation to find upper and lower bounds on the objective of the optimal solution. Computational results are presented for all three approaches and suggest that the approximation approach performs better than the others (with respect to speed and solution quality). We conclude the dissertation with a stochastic variation of the modular design problem and a solution heuristic. We discuss an approximation model to the continuous formulation, which is a geometric programming model. We develop a heuristic to solve this problem using monotonicity properties of the functions. Computational results are given and compared with an upper bound.
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17

Pliuskuvienė, Birutė. "Adaptive data models in design." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080627_143940-41525.

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In the dissertation the adaptation problem of the software whose instability is caused by the changes in primary data contents and structure as well as the algorithms for applied problems implementing solutions to problems of applied nature is examined. The solution to the problem is based on the methodology of adapting models for the data expressed as relational sets.
Disertacijoje nagrinėjama taikomųjų uždavinių sprendimus realizuojančių programinių priemonių, kurių nepastovumą lemia pirminių duomenų turinio, jų struktūrų ir sprendžiamų taikomojo pobūdžio uždavinių algoritmų pokyčiai, adaptavimo problema.
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18

Flodin, Patrik. "Creating Player Models for Linearity in Level Design." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20389.

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19

Malak, Richard J. Jr. "A Framework for Validating Reusable Behavioral Models in Engineering Design." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6882.

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Designers commonly use computer-based modeling and simulation methods to predict artifact behavior. Such predictions are central to engineering decision making. As such, determining how well they correspond to actual artifact behavior is a problem of critical importance. A significant aspect of this problem is determining whether the model used to generate the behavioral predictionsi.e., the behavioral modelreflects the relevant physical phenomena. The process of doing this is referred to as behavioral model validation. Prior works take an integrated approach to validation in which model creators and model users interact throughout the modeling and simulation process. Although effective for many problems, this type of approach is not appropriate for model reuse scenarios. Model validation requires knowledge about the model and its use. In model reuse scenarios, model creators and model users operate in independent processes with limited inter-process communication. The core challenge to behavioral model validation in this setting is that, in general, neither model creators nor model users possess the requisite knowledge to perform behavioral model validation. Presented in this thesis is a conceptual framework for validating reusable behavioral models in model reuse scenarios. This framework solves the problem of creator-user separation by defining specific validation responsibilities for each and an interface by which they communicate. This interface consists of a formal description of the models limitations and the domain over which these limitations are known to be true. The framework is illustrated through basic engineering examples.
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20

Jobe, Jonathan Michael. "Multi-aspect component models enabling the reuse of engineering analysis models in SysML /." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24810.

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21

Kutluay, Umit. "Design Scaling Og Aeroballistic Range Models." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605698/index.pdf.

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The aim of this thesis is to develop a methodology for obtaining an optimum configuration for the aeroballistic range models. In the design of aeroballistic range models, there are mainly three similarity requirements to be matched between the model and the actual munition: external geometry, location of the centre of gravity and the ratio of axial mass moment of inertia to the transverse mass moment of inertia. Furthermore, it is required to have a model with least possible weight, so that the required test velocities can be obtained with minimum chamber pressure and by use of minimum propellant while withstanding the enormous launch accelerations. This defines an optimization problem: to find the optimum model internal configuration and select materials to be used in the model such that the centre of gravity location and the inertia ratio are matched as closely as possible while the model withstands the launch forces and has minimum mass. To solve this problem a design methodology is devised and an optimization code is developed based on this methodology. Length, radius and end location of an optimum cylinder which has to be drilled out from the model are selected as the design variables for the optimization problem. Built&ndash
in functions from the Optimization Toolbox of Matlab®
are used in the optimization routine, and also a graphical user interface is designed for easy access to the design variables. The developed code is a very useful tool for the designer, although the results are not meant to be directly applied to the final product, they form the starting points for the detailed design.
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22

Freeman, Ian James. "Computer-Aided Design Integration in Virtual Reality Design Reviews for Improved Interaction with Engineering Models." BYU ScholarsArchive, 2017. https://scholarsarchive.byu.edu/etd/6549.

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Leveraging virtual reality (VR) technology to enhance engineering design reviews has been an area of significant interest for researchers since the advent of modern VR. The ability to interact meaningfully with 3D engineering models in these VR design reviews is an important, though often neglected, capability due to the difficulty of performing data translation between native CAD data and VR compatible file formats. A bi-directional interface was developed between a VR design review environment and a commercial CAD package that streamlines the data translation process. By transmitting both geometric data and selected metadata from the CAD system an improved format for the VR model was achieved and enhanced model interaction tools were added to the VR design review application. The suite of model interaction tools developed include component hiding, exploded views, and the ability to parametrically update the model directly from the VR environment. Preliminary user experiments were performed once an early prototype of the system was in place. These experiments guided the remainder of the development and the experimental setup for the final set of experiments. Final user experiments were performed to validate the usefulness of the bi-directional interface concept and the system developed, as well as to establish the importance of enhanced model interaction in VR engineering design reviews. The experiments performed were composed of two tasks: One task aimed at exploring how CAD integration and advanced interaction tools in VR design reviews aid understanding of model geometry and design comprehension and a second task that explores how the ability to preview design changes from the VR design review environment improves decision making. In the first task participants were shown a model of a complex gearbox and asked to count the number of gears. Participants performed this test on two different models: once with the enhanced toolset and once with a baseline toolset representative of the current state of the art that only allows users to pan, rotate, and scale a shaded monochrome version of the model. In the second task participants were given a model of a four cylinder internal combustion engine and asked to determine the feasibility of three proposed design changes based on whether the changes would cause interference in the model. Again, participants performed this test with two different models, once with each toolset. The analysis of the data from these experiments showed that participants were significantly more successful at understanding the geometry of the model when using the enhanced toolset. The data also showed that the enhanced toolset often boosts users' confidence in their understanding, and can help users to understand the design more quickly. Data from the second task showed that the enhanced environment can also help users to better and more confidently understand the implications of a proposed design change, which can lead to improved decision making. The work presented here builds the foundation for the bi-directional interface concept to be extended to further applications that can enable advanced interaction with a diversity of engineering data in VR.
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23

Han, Sangmok. "A design tool for reusing integration knowledge in simulation models." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/85771.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2006.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 88-89).
In the academic field of computer-aided product development, the role of the design tool is to support engineering designers to develop and integrate simulation models. Used to save time and costs in product development process, the simulation model, however, introduces additional costs for its development and integration, which often become considerably large due to the fact that many, complex simulation models need to be integrated. Moreover, the result of integration and the effort taken during the integration process are often not reused for other product development projects. In this paper, we attempt to develop a design tool that can capture integration knowledge and make the knowledge reusable for other design tasks. More specifically, we are interested in the two kinds of integration knowledge: the first captured in the form of a graph structure associating simulation models, called the integration structure, and the second generalized from script codes into rule-based patterns, called the integration code pattern. An integration mechanism and a pattern generalization algorithm have been developed and incorporated into a design tool utilizing a new integration model called catalog model, a model that enables us to reuse the integration structure and code patterns of one model to quickly build another. Application scenarios have demonstrated the effectiveness of the design tool: The same integration task could be performed in less time, and repetitive and error-prone elements in the task were substantially reduced as a result of reusing integration knowledge in the simulation models.
by Sangmok Han.
S.M.
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24

Chandrasekhar, Ashok. "Interfacing geometric design models to analyzable product models with multifidelity and mismatched analysis geometry." Thesis, Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/17769.

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25

Yu, Jyh-Cheng. "Design for robustness using manufacturing variation patterns and quadrature factorial models /." The Ohio State University, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=osu148786139602629.

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26

Zeng, Haoyang Ph D. Massachusetts Institute of Technology. "Machine learning models for functional genomics and therapeutic design." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122689.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 213-230).
Due to the limited size of training data available, machine learning models for biology have remained rudimentary and inaccurate despite the significant advance in machine learning research. With the recent advent of high-throughput sequencing technology, an exponentially growing number of genomic and proteomic datasets have been generated. These large-scale datasets admit the training of high-capacity machine learning models to characterize sophisticated features and produce accurate predictions on unseen examples. In this thesis, we attempt to develop advanced machine learning models for functional genomics and therapeutics design, two areas with ample data deposited in public databases and tremendous clinical implications. The shared theme of these models is to learn how the composition of a biological sequence encodes a functional phenotype and then leverage such knowledge to provide insight for target discovery and therapeutic design.
First, we design three machine learning models that predict transcription factor binding and DNA methylation, two fundamental epigenetic phenotypes closely tied to gene regulation, from DNA sequence alone. We show that these epigenetic phenotypes can be well predicted from the sequence context. Moreover, the predicted change in phenotype between the reference and alternate allele of a genetic variant accurately reflect its functional impact and improves the identification of regulatory variants causal for complex diseases. Second, we devise two machine learning models that improve the prediction of peptides displayed by the major histocompatibility complex (MHC) on the cell surface. Computational modeling of peptide-display by MHC is central in the design of peptide-based therapeutics.
Our first machine learning model introduces the capacity to quantify uncertainty in the computational prediction and proposes a new metric for peptide prioritization that reduces false positives in high-affinity peptide design. The second model improves the state-of-the-art performance in MHC-ligand prediction by employing a deep language model to learn the sequence determinants for auxiliary processes in MHC-ligand selection, such as proteasome cleavage, that are omitted by existing methods due to the lack of labeled data. Third, we develop machine learning frameworks to model the enrichment of an antibody sequence in phage-panning experiments against a target antigen. We show that antibodies with low specificity can be reduced by a computational procedure using machine learning models trained for multiple targets. Moreover, machine learning can help to design novel antibody sequences with improved affinity.
by Haoyang Zeng
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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27

Black, Charlene M. "DESIGN OF AEROELASTIC CONTROLLER AND TESTING PROTOCOL USING 3D PRINTED WING MODELS." Miami University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=miami1525367138086183.

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28

Lee, KwangHoon. "Engineering design representation by feature based design in design automation : multiple viewpoint dependent models in product development." Thesis, University of Bristol, 2002. http://hdl.handle.net/1983/dbc48d9d-6e99-4a24-95a8-c93cbc1368b3.

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29

Lohatepanont, Manoj 1974. "Airline fleet assignment and schedule design : integrated models and algorithms." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/8297.

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Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2002.
Includes bibliographical references (p. 187-192).
In scheduled passenger air transportation, airline profitability is critically influenced by the airline's ability to construct flight schedules containing flights at desirable times in profitable markets. In this dissertation, we study two elements of the schedule generation process, namely, schedule design and fleet assignment. The schedule design problem involves selecting an optimal set of flight legs to be included in the schedule, while the fleet assignment problem involves assigning aircraft types (or fleets) to flight legs to maximize revenues and minimize operating costs simultaneously. With the fleet assignment problem, we investigate the issues of network effects, spill, and recapture. On a constrained flight leg in which demand exceeds capacity, some passengers are not accommodated, or spilled. When passengers travel on two or more constrained legs, flight leg interdependencies or network effects arise because spill can occur on any of these legs. In most basic fleet assignment models, simplistic modeling of network effects and recapture leads to sometimes severe, miscalculations of revenues. Recapture occurs when some of the spilled passengers are re-accommodated on alternate itineraries in the system. In this dissertation, we develop new fleet assignment models that capture network effects, spill, and recapture. Another benefit of one of our models is its tractability and potential for further integration with other schedule planning steps.
(cont.) Our study shows that the benefits of modeling these elements can be as large as $100 million annually for a major U.S. airline. In addition, we show that modeling flight leg interdependence is more important than demand stochasticity for hub-and-spoke fleet assignment problems. We develop two models for schedule design, one assuming that the market share of an airline remains constant with schedule changes; and the other assuming that market share varies with schedule changes. The constant market share model, while less precise in its modeling, is much easier to solve than the variable market share model. We estimate that the potential benefits of these models range from $100 to $350 million annually.
Manoj Lohatepanont.
Sc.D.
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30

Kim, Daeki. "Large scale transportation service network design : models, algorithms and applications." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10366.

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31

Ahmad, Ali Mohsin. "Digital terrain models in engineering : assessment and improvement of accuracy." Thesis, University of Newcastle Upon Tyne, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278756.

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32

Woodhouse, Neil Godfrey. "Geometric models appropriate for engineering analysis from vision metrology data." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325789.

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33

Gump, Brandon Adam. "Automated Transforms of Software Models: A Design Pattern Approach." Wright State University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=wright1260287805.

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34

Arnold, Sean. "Design of manufacturing systems with the aid of neural network inverse models." Thesis, Massachusetts Institute of Technology, 1993. http://hdl.handle.net/1721.1/12439.

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35

Bharath, Ranjeetha. "Nonlinear observer design and synchronization analysis for classical models of neural oscillators." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/83684.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 37-38).
This thesis explores four nonlinear classical models of neural oscillators, the Hodgkin- Huxley model, the Fitzhugh-Nagumo model, the Morris-Lecar model, and the Hindmarsh-Rose model. Analysis techniques for nonlinear systems were used to develop a set of observers and perform synchronization analysis on the aforementioned neural systems. By using matrix analysis techniques, a study of biological background and motivation, and MATLAB simulation with mathematical computation, it was possible to do a preliminary contraction and nonlinear control systems structural study of these classical neural oscillator models. Neural oscillation and signaling models are based fundamentally on the biological function of the neuron, with behavior mediated through the channeling of ions across a cell membrane. The variable assumed to be measured for this study is the voltage or membrane potential, which could be measured empirically through the use of a neuronal force-clamp system. All other variables were estimated by using the partial state and full state observers developed here. Preliminary observer rate convergence analysis was done for the Fitzhugh-Nagumo system, and preliminary synchronization analysis was done for both the Fitzhugh-Nagumo and the Hodgkin- Huxley systems. It was found that by using a variety of techniques and mathematical matrix analyses methods (e.g. diagonal dominance or other norms), it was possible to develop a case-by-case nonlinear control systems approach to each particular system as a biomathematical entity.
by Ranjeetha Bharath.
S.B.
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36

Telleria, Maria J. "Design rules and models for the synthesis and optimization of cylindrical flexures." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81755.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2013.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis. Page 210 blank.
Includes bibliographical references (p. 195-197).
Cylindrical flexures (CFs) are defined as systems composed of flexural elements whose length is defined by the product of their radius of curvature, R, and sweep angle, [phi]. CFs may be constructed out of a cylindrical stock which leads to geometry, manufacturability, and compatibility advantages over planar flexures. However, CFs present a challenge because their mechanics differ from those of straight beams, and although the modeling of curved beams has been researched in detail [1-4], it has yet to be distilled into compliant element and system creation rules. The lack of relevant design rules has inhibited the process of concept generation and optimization of CF systems, preventing these systems from becoming pervasive in engineering applications. The design guidelines and models developed in this work enable (i) the rapid generation of multiple concepts, (ii) the efficient analysis of different designs and selection of the best design, and (iii) the effective optimization of the chosen concept. The CF synthesis approach presented in this thesis has three components: (i) analysis of element mechanics models to reveal key parameters, (ii) understanding of how the key parameters affect the flexure performance and (iii) guidelines as to how to assemble and optimize CF systems. With the knowledge generated designers will be able to rapidly layout possible designs using the element building blocks and system creation rules, and then use the identified key parameters to optimize a design. The synthesis guidelines were established and tested through the development of two case study flexures: a CF linear guide and an x-y-[theta]z stage. The case studies demonstrate the increased design space of CF systems, which makes it possible for these new flexure mechanisms to meet functional requirements that could not be met using traditional straight-beam flexures.
by Maria J. Telleria.
Ph.D.
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37

Nsengiyumva, Olivier. "Simplification of Complex WWTP Models into Simple Design and Evaluative WRRF Tool." Master's thesis, Faculty of Engineering and the Built Environment, 2021. http://hdl.handle.net/11427/33836.

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Wastewater treatment plant (WWTP) steady-state models have been used, historically, by consulting engineers and researchers for design, process optimisation, and to study and evaluate various operating scenarios. These models have, however, been generally developed for single unit process which limits their use. In addition, there have been three recent shifts in the past two decades from conventional design and modelling of WWTPs. Firstly, the shift from single unit to plant-wide modelling. Secondly, WWTPs are considered as water and resource recovery facilities (WRRFs). Lastly, there has been a growing interest to use the developed plant-wide steady-state models by stakeholders i.e., plant operators, designers and decision-makers who have limited technical expertise in WWTP modelling. These stakeholders use these models for design, evaluation and optimisation of scenarios. The later shift has raised the debate of complexity versus simplicity of the developed steady-state models. In addition to the aforementioned shifts, there has been limited research on the impact of sludge return liquors on the overall plant performance especially in the context of South African WWTPs. Wastewater treatment plants treat influent wastewater to a specified effluent quality, through several processes, before discharging it into the receiving water bodies. One of the by-products of these treatment processes is a nitrogen (N) and phosphorus (P) rich dewatering liquor (DWL). Generally, South African WWTPs recycle the DWL to the mainstream treatment process without first undergoing any side-stream treatment process (SSTP). The recycling of such N and P rich DWLs to the mainstream process, without first going through any SSTP and/or addition of organics to the mainstream process (organics have a role to play in nutrient removal, through the provision of substrate for biomass growth and provision of electron donors in the process of denitrification) poses a problem to the treatment process. Consequently, the reactor is overloaded with nutrients without sufficient organics to remove them; hence, the plant produces poor effluent quality i.e., high N and P concentrations at high operational cost. A simplified full-scale steady-state WWTP simulation tool, namely, plant performance evaluation tool (PPET), with a user-friendly interface was developed, based on principles of sound mass balance and kinetic and stoichiometric relations over the full-scale plant, to bridge the gap between the complexity of WWTP models and the lack of technical expertise of the stakeholders. This simulation tool analyses the impact of recycling sludge dewatering liquors on the overall plant performance. Furthermore, it gives the user a platform to analyse different scenarios and provides uncompromised results that enable the user to make better design and operation decisions. The bio-augmentation batch enhanced (BABE) and struvite precipitation SSTPs, and plant performance indices i.e., effluent quality and operational cost indices, EQI and OCI, respectively, were incorporated into PPET to analyse case studies on South African plants. It was found that there are added benefits of using a SSTPs to mitigate the detrimental impacts of recycled DWL when the capacity of the plant has been exceeded. However, both BABE and struvite precipitation processes achieve different results based on the composition of the DWL that is being treated i.e., for DWL from an anaerobic digester treating waste activated sludge that is not P rich (with low EBPR), then the recommended SSTP operation would be BABE process rather than struvite precipitation. Due to the different treatment systems (i.e., with variations in influent loads, system configurations and priority end products required - energy, water, phosphorus, etc.), further investigations are required on strategies for implementation of the various SSTPs.
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38

LEE, SEUNG JOO. "RELIABILITY-BASED OPTIMAL STRUCTURAL AND MECHANICAL DESIGN." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184136.

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Structural reliability technology provides analytical tools for management of uncertainty in all relevant design factors in structural and mechanical systems. Generally, the goal of analysis is to compute probabilities of failure in structural components or system having single or multiple failure mode. Alternately, modern optimization methods provide efficient numerical algorithms for locating optima, particularly in large-scale systems having prescribed deterministic constraints. Optimization procedure can accommodate random variables either directly in its objective function or as one of the primary constraints. The combination of elementary optimization and probabilistic design techniques is the subject of this study. Presented herein is a general strategy for optimization when the design factors are random variables and some or all of the constraints are probability statements. A literature review has indicated that optimization technology in a reliability context has not been fully explored for the general case of nonlinear performance functions and nonnormal variates associated multiple failure modes. This research focuses upon development of the theory to address this general problem. Because analysis algorithms are complicated, a computer code, program RELOPT, is constructed to automate the analysis. The objective function to be minimized is arbitrary, but would generally be the total expected lifetime costs including all initial costs as well as all costs associated with failure. Uncertainty is assumed to be possible in all design factors (including the factors to be determined), and they are modeled as random variables. In general, all of the constraints can be probability statements. The generalized reduce gradient (GRG) method was used for optimization calculations. Options for point probability calculations are first order reliability analysis using the Rackwitz-Fiessler (R-F) or advanced reliability analysis using Wu/FPI. For system reliability analysis either the first order Cornell's bounds or the second order Ditlevsen's bounds can be specified. Several examples are presented to illustrate the full range of capabilities of RELOPT. The program is validated by checking with independent and exact solutions. An example is provided which demonstrates that the cost of running RELOPT can be substantial as the size of the problem increases.
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39

Sun, Ximeng 1979. "A model-driven approach to scenario-based requirements engineering /." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=101655.

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A model-driven approach to scenario-based requirements engineering is proposed. The approach, which is based on Computer Automated Multi-Paradigm Modeling (CAMPaM), aims to improve the software process. A framework is given and implemented to reason about models of systems at multiple levels of abstraction, to transform between models in different formalisms, and to provide and evolve modeling formalisms.
The model-driven approach starts with modeling requirements of a system in scenario models and the subsequent automatic transformation to state-based behavior models. Then, either code can be synthesized or models can be further transformed into models with additional information such as explicit timing information or interactions between components. These models, together with the inputs (e.g., queries, performance metrics, test cases, etc.) generated directly from the scenario models, can be used for a variety of purposes, such as verification, analysis, simulation, animation and so on.
A visual modeling environment is built in AToM3 using Meta-Modeling and Model Transformation. It supports modeling in Sequence Diagrams, automatic transformation to Statecharts, and automatic generation of requirements text from Sequence Diagrams.
An application of the model-driven approach to the assessment of use cases for dependable systems is shown.
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40

Mowrey, Corinne H. "Retail Facility Design Considering Product Exposure." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1472487958.

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41

Al-Salka, M. A. "Models and computer based support tools for conceptual design in mechanical engineering." Thesis, Swansea University, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.635720.

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The aim of this thesis is to find a valid and practical model for a computer-based conceptual design support system. A prerequisite to building any design support system is a proper understanding of the design process. Hence, a survey of current prescriptive, descriptive, and computational models of the design process is presented. Initially, it was thought that the various stages of the conceptual design phase, such as function decomposition, solution generation, and evaluation, can be addressed independently. However, from the initial investigations in this research programme, it was soon realised that these stages are heavily inter-related and, therefore, the conceptual design phase should preferably be studied as a whole. Established prescriptive models of the design process (design methodologies) have been carefully studied and evaluated, with the help of a number of case design problems. A number of limitations have been encountered with these models, and therefore, a more realistic design model, which overcomes some of the limitations of established methodologies is proposed. Based on the insights gained from the theoretical studies, and the empirical investigations of other researchers, a model of an interactive design support system is described and fully explored. A novel high-level programming language, which can easily be used to define procedural models of engineering design, has been devised. This language, which will be referred to in this thesis as the Design Procedures programming Language (DPPL). A prototype Conceptual Design Support and Analysis System (CODSAS), which embodies the above model has been implemented. CODSAS provides an integrated, consistent framework for carrying out (conceptual) engineering design.
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42

Belben, Joel Brian. "ENABLING RAPID CONCEPTUAL DESIGN USING GEOMETRY- BASED MULTI-FIDELITY MODELS IN VSP." DigitalCommons@CalPoly, 2013. https://digitalcommons.calpoly.edu/theses/969.

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The purpose of this work is to help bridge the gap between aircraft conceptual design and analysis. Much work is needed, but distilling essential characteristics from a design and collecting them in an easily accessible format that is amenable to use by inexpensive analysis tools is a significant contribution to this goal. Toward that end, four types of reduced-fidelity or degenerate geometric representations have been defined and implemented in VSP, a parametric geometry modeler. The four types are degenerate surface, degenerate plate, degenerate stick, and degenerate point, corresponding to three-, two-, one-, and zero- dimensional representations of underlying geometry, respectively. The information contained in these representations was targeted specifically at lifting line, vortex lattice, equivalent beam, and equivalent plate theories, with the idea that suitability for interface with these methods would imply suitability for use with many other analysis techniques. The ability to output this information in two plain text formats— comma separated value and Matlab script—has also been implemented in VSP, making it readily available for use. A modified Cessna 182 wing created in VSP was used to test the suitability of degenerate geometry to interface with the four target analysis techniques. All four test cases were easily completed using the information contained in the degenerate geometric types, and similar techniques utilizing different degenerate geometries produced similar results. The following work outlines the theoretical underpinnings of degenerate geometry and the fidelity-reduction process. It also describes in detail how the routines that create degenerate geometry were implemented in VSP and concludes with the analysis test cases, stating their results and comparing results among different techniques.
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43

Marufuzzaman, Mohammad. "Models for a carbon constrained, reliable biofuel supply chain network design and management." Thesis, Mississippi State University, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3631817.

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This dissertation studies two important problems in the field of biomass supply chain network. In the first part of the dissertation, we study the impact of different carbon regulatory policies such as carbon cap, carbon tax, carbon cap-and-trade and carbon offsetmechanism on the design and management of a biofuel supply chain network under both deterministic and stochastic settings. These mathematical models identify locations and production capacities for biocrude production plants by exploring the trade-offs that exist between transportations costs, facility investment costs and emissions. The model is solved using a modified L-shaped algorithm. We used the state of Mississippi as a testing ground for our model. A number of observations are made about the impact of each policy on the biofuel supply chain network.

In the second part of the dissertation, we study the impact of intermodal hub disruption on a biofuel supply chain network. We present mathematical model that designs multimodal transportation network for a biofuel supply chain system, where intermodal hubs are subject to site-dependent probabilistic disruptions. The disruption probabilities of intermodal hubs are estimated by using a probabilistic model which is developed using real world data. We further extend this model to develop a mixed integer nonlinear program that allocates intermodal hub dynamically to cope with biomass supply fluctuations and to hedge against natural disasters. We developed a rolling horizon based Benders decomposition algorithm to solve this challenging NP-hard problem. Numerical experiments show that this proposed algorithm can solve large scale problem instances to a near optimal solution in a reasonable time. We applied the models to a case study using data from the southeast region of U.S. Finally, a number of managerial insights are drawn into the impact of intermodal-related risk on the supply chain performance.

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44

Wanigasekara, Prashan. "Latent state space models for prediction." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106269.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, School of Engineering, System Design and Management Program, Engineering and Management Program, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 95-98).
In this thesis, I explore a novel algorithm to model the joint behavior of multiple correlated signals. Our chosen example is the ECG (Electrocardiogram) and ABP (Arterial Blood Pressure) signals from patients in the ICU (Intensive Care Unit). I then use the generated models to predict blood pressure levels of ICU patients based on their historical ECG and ABP signals. The algorithm used is a variant of a Hidden Markov model. The new extension is termed as the Latent State Space Copula Model. In the novel Latent State Space Copula Modelthe ECG, ABP signals are considered to be correlated and are modeled using a bivariate Gaussian copula with Weibull marginals generated by a hidden state. We assume that there are hidden patient "states" that transition from one hidden state to another driving a joint ECG-ABP behavior. We estimate the parameters of the model using a novel Gibbs sampling approach. Using this model, we generate predictors that are the state probabilities at any given time step and use them to predict a patient's future health condition. The predictions made by the model are binary and detects whether the Mean arterial pressure(MAP) is going to be above or below a certain threshold at a future time step. Towards the end of the thesis I do a comparison between the new Latent State Space Copula Model and a state of the art Classical Discrete HMM. The Latent State Space Copula Model achieves an Area Under the ROC (AUROC) curve of .7917 for 5 states while the Classical Discrete HMM achieves an AUROC of .7609 for 5 states.
by Prashan Wanigasekara.
S.M. in Engineering and Management
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45

Du, Plessis Francois Daniel. "Development of nonlinear CAD Models for the design of linear LDMOS power amplifiers." Thesis, Stellenbosch : University of Stellenbosch, 2006. http://hdl.handle.net/10019.1/1691.

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Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2006.
Nonlinear transistor modeling is becoming increasingly popular due to the demand for high linearity and high efficiency microwave amplifiers. The available models often fail to accurately predict the higher order harmonics and intermodulation distortion, which are essential when designing high-linearity amplifier circuits. This thesis describes the design of hardware and software used for the development of nonlinear CAD models. A multiline TRL calibration kit is designed and manufactured so that the characterisation of a LDMOSFET, with a RF output power capability of 10W, can be performed using an adaptive-bias S-parameter measurement algorithm. Verification standards are also manufactured and used to determine the measurement accuracy after calibration. A series of GUIs are developed to ease the model extraction process. The extraction of the small-signal model parameters is performed between 0.4 and 3 GHz, and the extraction of the parameter values for the Fager large-signal model is then performed. An improved model is defined that implements two nonlinear charge sources in stead of the three nonlinear capacitors used in the Fager model. The nonlinear charge equations are formulated using the voltage-derivatives of the calculated nonlinear charge at each port of the device. By accurately modeling the voltagederivatives of the charge, where the voltages are functions of time, the prediction of the current produced by each of the charge sources is improved. The nonlinear models are verified against the MET model, and all three models are compared to measured data. It is shown that the models are able to accurately predict the single-tone and two-tone output harmonics for class-AB operation, and in many cases the predictions outperform that of the MET model. The single-tone output power is also verified for class-C operation. Although this prediction is not extremely accurate, it is found that the correct trend for the output harmonic power can be predicted.
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Zeb, Irfan, and Shah Fahad. "The Concept of Mental Models in Co Design." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-16765.

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This study will provide an overview of mental models in teams and the significance of this particular concept for design teams. Researchers have applied the concept of mental models to understand how people perform tasks on the basis of their knowledge, assumptions, predictions and expectation. An overview is also provided on the relation between performance and mental models and their effect on stakeholders. The implications for design field are discussed. Through the study of two organizations in the same industry, the teams are studied in detail for each of these companies and hence leading to the study of mental models of stakeholders. Through the use of interviews, a detailed analysis is done on the team mental models. The mental models of stack holders and their influence on different aspects of company and team performance are discussed in detail. The methodology for the study of mental models is also proposed in the study. The findings are based on the data collected through interviews in both the organizations. The empirical study is designed in such a way that it investigates further the validity of theoretical concepts. Warid is a major telecommunication brand in Pakistan that provides services in all the regions of the country. Ufone is also a well-known telecommunication brand, known for its innovative and creative TVCs (TV commercial). Interviews with the marketing and sales officials of both these organizations provided an insight into the teams behind their advertising/marketing campaigns and the affect of stakeholders’ mental models on the performance and sales of the companies. The comparative analysis between the theoretical and empirical studies suggests that the quality of mental models is affected by diversity in the team, education and experience of the team members. This may be brought in for future research to further verify the effectiveness of mental models for design teams and eventually the whole organization. Finally the implications of our findings are discussed.
Program: Magisterutbildning i informatik
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47

Kedalagudde, Meghashree Dattatri. "Adding extensions to UML dynamic models for better embedded system design." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1336742195.

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48

Borja, Ramirez Vicente. "Redesign supported by data models with particular reference to reverse engineering." Thesis, Loughborough University, 1997. https://dspace.lboro.ac.uk/2134/11705.

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The research reported in this thesis is focused on the creation of a CAE system to support Reverse Engineering. It is centred around the computational representation of products (Product Model) and manufacturing capabilities (Manufacturing Model). These models are essential for modem and future software systems aimed to assist the design process, enabling data sharing among the participants who use various computational tools. Reverse Engineering is employed as a particular context and motivation for exploring the application of the models. The research builds on the achievements of the recently finished Model Oriented Simultaneous Engineering System (MOSES) project, undertaken jointly by Leeds University and the Department of Manufacturing Engineering of Loughborough University. MOSES' work on information modelling was analysed and combined together with the original proposals of the author to elaborate a suitable support to Reverse Engineering, applicable to redesign in general. A process for Reverse Engineering is proposed and documented and a data model driven CAE system to support it is specified. The CAE system includes a Product Model, a Manufacturing Model and two software application environments. The Product Model of the system is based on the information requirements of the Reverse Engineering process and is suitable for representing multi-component products, from different perspectives through its life cycle. The applications assist the characteristic activities of Reverse Engineering. In particular, the system is used for exploring the application of Product and Manufacturing Models in supporting Design for Manufacture. The theoretical research is tested by the use of a case study which explores the Reverse Engineering of a component. This work is supported by a prototype software instance of the CAE system. The case study component is an axle which forms part of a product designed and manufactured by a collaborating company.
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Ibrahim, Eman. "Design of an XML-based alerting system prototype using mortality prediction models." Thesis, University of Ottawa (Canada), 2007. http://hdl.handle.net/10393/27854.

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This thesis presents an XML based clinical alerting system prototype that has the ability to accurately detect and warn medical decision makers of critical events or complications prior to their occurrence. The alerting system makes use of existing MIRG ANN infant mortality prediction models to develop 'alert generation rule' algorithms using the four most highly ranked variables in each of the mortality prediction models. Prior to the use of this system, physicians did not have a way of knowing which ANN mortality model was better at predicting infant mortality as these models are similar and there is no currently known method to establish which one is better except by generally computing sensitivity and specificity. This alerting system is a first attempt at finding an alternate way to assess how each model performs in detecting the outcome 'death' and can be used by MIRG researchers in selecting the best model.
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50

Evans, Thomas C. (Thomas Carl) 1971. "Statistical usage models in mobile processor thermal design and testing." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/89389.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (S.M.)--Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2003.
Includes bibliographical references (p. 77).
by Thomas C. Evans.
S.M.
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