Dissertations / Theses on the topic 'Inferentialsm'

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1

Steinberger, Florian. "Harmony and logical inferentialism." Thesis, University of Cambridge, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.611346.

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2

Fogdall, Stephen Andrew. "Inferential justification /." Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/5700.

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3

Bearth, Thomas. "Inferential and counter-inferential grammatical markers in Swahili dialogue." Universitätsbibliothek Leipzig, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-96402.

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Naturally occurring dialogue is by far the most frequent manifestation of human speech and therefore has a legitimate claim to being regarded as a prime object of study in the sciences of language. Looking at the factors which determine the structure of natural dialogue, one cannot escape the conclusion that not only what is being said but also what is being inferred from what is said contributes towards determining the sequence and content of moves as well as the choice of grammatical features which are crucial for dialogue cohesion and for the interpretation of utterances in dialogue: `Constellations of surface features of message form are the means by which speakers signal and listeners interpret what the activity is, how semantic content is to be understood and how each sentence relates to what precedes follows.`
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4

Nasir, Imtiaz Hussain. "Multivariable inferential estimation." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.273370.

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5

Brodie, K. A. "Inferential predictive control." Thesis, University of Newcastle Upon Tyne, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310173.

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6

NOZAWA, Masanobu. "INFERENTIAL MARKS IN THE VAIŚEṢIKASŪTRA." 名古屋大学印度哲学研究室 (Department of Indian Philosophy, University of Nagoya), 1991. http://hdl.handle.net/2237/19173.

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7

Mazzarella, D. "Inferential pragmatics and epistemic vigilance." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1471266/.

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Current research on linguistic communication is grounded on the well-established assumption that speakers typically communicate more than they linguistically encode (Grice, 1989). This raises the question of what sources of information and types of cognitive operation drive the recovery of the communicated meaning (or ‘speaker’s meaning’). In this thesis, I argue for the following two claims: (i) pragmatic interpretation is ‘inferential’ in the sense that it relies on two distinct stages of ‘hypothesis formation’ and ‘hypothesis confirmation’. While hypotheses about the speaker’s meaning are constructed on the basis of linguistic evidence and available contextual assumptions, they are assessed against a criterion of pragmatic acceptability based on consideration of the speaker’s mental states (i.e. her beliefs and intentions); (ii) This two-stage process is underpinned by the interaction of two distinct systems: a relevance-guided comprehension procedure (Sperber & Wilson, 1995; Wilson & Sperber, 2004) and epistemic vigilance mechanisms, which assess the quality of incoming information and the reliability of the individual who dispenses it (Sperber et al., 2010). On the basis of this work, I develop a new model of the relationship between comprehension and epistemic assessment, and discuss its implications for the unfolding of pragmatic and epistemic vigilance capacities in the child’s cognitive development, as well as the place of these systems in a modular view of the cognitive architecture of the mind. Finally, I uncover some significant methodological issues which arise in the current experimental pragmatics literature when the cognitive distinction between comprehension and epistemic assessment is overlooked.
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8

PFEIFFER, BRUCE E. "Omission Detection and Inferential Adjustment." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1212160169.

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9

Kirk, Paul. "Inferential stability in systems biology." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6455.

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The modern biological sciences are fraught with statistical difficulties. Biomolecular stochasticity, experimental noise, and the “large p, small n” problem all contribute to the challenge of data analysis. Nevertheless, we routinely seek to draw robust, meaningful conclusions from observations. In this thesis, we explore methods for assessing the effects of data variability upon downstream inference, in an attempt to quantify and promote the stability of the inferences we make. We start with a review of existing methods for addressing this problem, focusing upon the bootstrap and similar methods. The key requirement for all such approaches is a statistical model that approximates the data generating process. We move on to consider biomarker discovery problems. We present a novel algorithm for proposing putative biomarkers on the strength of both their predictive ability and the stability with which they are selected. In a simulation study, we find our approach to perform favourably in comparison to strategies that select on the basis of predictive performance alone. We then consider the real problem of identifying protein peak biomarkers for HAM/TSP, an inflammatory condition of the central nervous system caused by HTLV-1 infection. We apply our algorithm to a set of SELDI mass spectral data, and identify a number of putative biomarkers. Additional experimental work, together with known results from the literature, provides corroborating evidence for the validity of these putative biomarkers. Having focused on static observations, we then make the natural progression to time course data sets. We propose a (Bayesian) bootstrap approach for such data, and then apply our method in the context of gene network inference and the estimation of parameters in ordinary differential equation models. We find that the inferred gene networks are relatively unstable, and demonstrate the importance of finding distributions of ODE parameter estimates, rather than single point estimates.
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10

Fenton, William P. "On the Philosophy and Psychology of Reasoning and Rationality." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1574636850795921.

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11

Leboe, Jason P. Milliken Bruce. "The inferential basis of perceptual performance /." *McMaster only, 2002.

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12

Agard, David B. "Robust inferential procedures applied to regression." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-10132005-152518/.

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13

Shen, Gwo-Chyau. "Adaptive inferential control for chemical processes /." The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487329662147068.

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14

Matthews, Michael J. "Extending Ranked Sampling in Inferential Procedures." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu149269869222179.

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15

Garza, Christine Seftchick. "Inferential Set Adoption by Nursing Students." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc332240/.

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This study examines nursing students' adoption of inferential sets in a clinical situation. The investigation determines (1) the particular inferential set(s) nursing students adopt toward a patient in a clinical situation; (2) the particular inferential set(s) adopted by sophomore and senior nursing students in a clinical situation; and (3) whether or not inferential sets adopted by the sophomore and senior nursing students differ. Sophomore and senior nursing students at a woman's university in Texas were asked to complete a research tool designed to determine inferential set adoption.
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16

Dave, Kedar Himanshu. "Inferential model predictive control using statistical tools." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2585.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Chemical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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17

Dervisoglu, Ozgecan. "Inferential Control Of Boric Acid Production System." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608766/index.pdf.

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Inferential control of boric acid production system using the reaction of colemanite with sulfuric acid in four continuously stirred tank reactors (CSTR) connected in series is aimed. In this control scheme, pH of the product is measured on-line instead of boric acid concentration for control purposes. An empirical correlation between pH and boric acid concentration is developed using the collected data in a batch reacting system in laboratory-scale and this correlation is utilized in the control system for estimator design. The transfer function model of the 4-CSTR system previously obtained is used in the MPC controller design. In the experiments done previously for the modelling of 4-CSTR system, it was observed that the reaction goes complete within the first reactor. Therefore, the control is based on the measurements of pH of the second reactor by manipulating the flow rate of sulfuric acid given to the first reactor, while the flow rate of colemanite fed to the system is considered as disturbance. The designed controller&rsquo
s performance is tested for set point tracking, disturbance rejection and robustness issues using a simulation program. It is found that, the designed controller is performing satisfactorily, using the inferential control strategy for this complex reacting system.
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18

Schroeder, Marsha Lynn. "Inferential procedures for multifaceted coefficients of generalizability." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/27193.

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Generalizability theory was developed by Cronbach as an alternative to classical test score reliability theory. Generalizability uses an experimental design approach to reliability that permits the systematic evaluation of several sources of error simultaneously. The coefficient of generalizability (CG) is a single number summarizing the dependability of the measurement process. In the present study a normalizing transformation was first applied to a function of the CG. The delta method was applied to the transformed CGs for four different two-facet experimental design models to develop asymptotic variance expressions for the CGs. The accuracy of the variance expressions was tested via Monte Carlo simulations. In .these simulations the Type I error control was investigated. The majority of the simulations were conducted using a two-facet fully random experimental design, corresponding to a three-way random effects analysis of variance. A total of 81 combinations of sample size, facet conditions, and population CG values were investigated. The results suggested that the procedure generally was precise in its control of Type I error. The results were somewhat less precise when only two facet conditions were sampled. Five other side studies were conducted. Three of these used other two-facet models: a design with one fixed facet, a design with a finite facet, and a design with a nested facet. The results of these studies were similar to those found in the larger study; generally good Type I error control was realized. An additional study looked at the performance of the variance expression in the presence of negative variance component estimates. Results in this section of the study suggested that such negative component estimates did not adversely affect Type I error control. The final study investigated the performance of the variance expression with dichotomous data. The results indicated that Type I error control was not as precise with two facet conditions as it was with five or eight conditions. In these latter cases good error control was realized.
Arts, Faculty of
Psychology, Department of
Graduate
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19

Nicholson, Maureen Elizabeth. "Inferential comprehension by language-learning disabled children." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30170.

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This study evaluated the comprehension of inference statements by language-learning disabled (LLD) children and children with normal language development (NL) under two conditions: uncontextualized and contextualized. The contextualized condition was designed to encourage retrieval of information from the subject's general knowledge — a procedure proposed to encourage elaborative inference-making. Two text passages were analyzed according to a model developed by Trabasso and presented by Trabasso, van den Broek & Suh (1989), which yielded a set of bridging causal connections across clause units. Sets of three true and three false causal inference statements were developed to represent bridging inferences for each story. In addition, three true and three premise statements were obtained directly from each story, yielding a total of twelve statements for each text. Subjects were ten language-learning disabled students (7 boys, 3 girls) and ten children with normal language development (5 boys, 5 girls) aged 9 to 11 years old. Mean age for children in both groups was 10 years, 4 months. Children were selected for the LLD group on the basis of the following criteria: (1) enrollment in a learning assistance or learning resource program for learning-disabled students, preferably for remediation of Language Arts; (2) history of speech-language intervention in preschool or early primary grades; (3) normal nonverbal cognitive skills; (4) lexical and syntactic comprehension within normal abilities (as determined by standardized language tests for the LLD group); (5) native English speaker and (6) normal hearing ability. Every subject received both stories and conditions. Story presentation and condition were counterbalanced across 8 of the 10 subjects in each group; condition only was counterbalanced across the remaining two subjects in each group. Inference and premise statements were randomized; each random set was randomly presented to each subject. Items were scored correct or incorrect. Subjects were also asked to answer open-ended wh-questions. Responses were compared and analyzed using a nonparametric statistical method appropriate for small sample sizes. Results indicated significant differences between the LLD and the NL groups on the number of correct responses to inference and premise items. Both groups scored significantly worse on inference than premise items. Analysis did not indicate that the LLD group scored significantly worse on inference items than the NL group did. Results also suggested that a contextualization effect operated for both groups, which affected the retention of premise items but acted to improve scores on inference items. This effect was seen most notably for the LLD group.
Medicine, Faculty of
Audiology and Speech Sciences, School of
Graduate
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20

Zhou, Qi Jessie. "Inferential methods for extreme value regression models /." *McMaster only, 2002.

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21

Mueller, Melinda K. "The role of mood on inferential processing." Thesis, Wichita State University, 2012. http://hdl.handle.net/10057/5415.

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The way a reader comprehends a text is influenced by a number of factors; and one factor that may play a critical role is the reader’s mood. The extant literature documents that happy and sad moods elicit different processing styles, but the effects on reading comprehension processes, specifically inferential processing, are not completely understood. This study examined the effects happy, sad, and neutral moods had on the generation of bridging and predictive inferences. After a video mood induction, participants read texts that supported the generation of inferences but at varying constraint levels (strong, weak, control). Participants then completed a lexical decision task after each text. Response times for the lexical decision task were shortest for texts that were strongly constrained, followed by weakly constrained, and finally control texts. Accuracy for the lexical decision task was greatest for strongly constrained, followed by weakly constrained, and control texts. There was a marginally significant effect of mood, such that happy-induced readers generated more predictive inferences than sad-induced readers.
Thesis (M.Ed.)--Wichita State University, College of Education, Dept. of Counseling, Educational and School Psychology
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22

Porter, Mark A. "Evolving inferential fermentation models using symbolic annealing." Thesis, University of Newcastle Upon Tyne, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275517.

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23

Justice, Randy Lamar. "Inferential Disclosure Limitation in Multivariate Categorical Databases." NSUWorks, 2003. http://nsuworks.nova.edu/gscis_etd/622.

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Protecting data against inferential disclosure is a significant research challenge. With the increasing pervasiveness of data warehouses and On-Line Analytical Processing (OLAP) applications, disclosure limitation in multidimensional databases is especially important. Recent research has proposed efficient methods for inferential disclosure detection in multidimensional categorical databases but has not addressed the problem of disclosure elimination. Disclosures are removed by additive noise data perturbation. The goal is to minimize information loss due to data perturbation. This dissertation formulates the disclosure elimination problem in multidimensional categorical databases as a constrained optimization model. Since finding optimal solutions to the resulting problem is computationally hard, a genetic algorithm (GA) is used to identify good feasible solutions. A greedy algorithm is developed to solve an important special case of the problem that involves non-zero disclosures. Results indicate that the proposed GA based approach and the greedy algorithm can efficiently identify good feasible solutions that require low levels of data perturbation. Extensive computational experiments are performed to validate these results.
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24

Praharaj, Blake. "AIMOS| Automated Inferential Multi-Objective Optimization System." Thesis, Southern Connecticut State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10249184.

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Many important modern engineering problems involve satisfying multiple objectives. Simultaneous optimization of these objectives can be difficult as they compete for the same set of any given resources. One way to solve multiple-objective optimization is with the use of genetic algorithms (GA’s).

One can break down the structure of these multi-objective genetic algorithms (MOGA’s) into two different approaches. One approach is based on incorporating multiple objectives into a single fitness function which will evaluate how well a given solution solves the issue. The other approach uses multiple fitness functions, each representing a different objective, which when combined create a solution set of possible solutions to the problem. This project focuses on combining these approaches in order to make a hybrid model, which can benefit from combining the results of the previous two methods; incorporating a level of automation that allows for inference of a final solution based on different prioritization of each objective. This solution would not have been previously attainable by either standalone method.

This project is named the Automated Inferential Multi-Objective Optimization System (AIMOS), and it can be applied to a multitude of different problem types. In order to show its capabilities, AIMOS has been applied to a theoretical optimization problem used to measure the effectiveness of GA’s.

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25

Capparuccini, Maria. "Inferential Methods for High-Throughput Methylation Data." VCU Scholars Compass, 2010. http://scholarscompass.vcu.edu/etd/156.

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The role of abnormal DNA methylation in the progression of disease is a growing area of research that relies upon the establishment of sound statistical methods. The common method for declaring there is differential methylation between two groups at a given CpG site, as summarized by the difference between proportions methylated db=b1-b2, has been through use of a Filtered Two Sample t-test, using the recommended filter of 0.17 (Bibikova et al., 2006b). In this dissertation, we performed a re-analysis of the data used in recommending the threshold by fitting a mixed-effects ANOVA model. It was determined that the 0.17 filter is not accurate and conjectured that application of a Filtered Two Sample t-test likely leads to loss of power. Further, the Two Sample t-test assumes that data arise from an underlying distribution encompassing the entire real number line, whereas b1 and b2 are constrained on the interval . Additionally, the imposition of a filter at a level signifying the minimum level of detectable difference to a Two Sample t-test likely reduces power for smaller but truly differentially methylated CpG sites. Therefore, we compared the Two Sample t-test and the Filtered Two Sample t-test, which are widely used but largely untested with respect to their performance, to three proposed methods. These three proposed methods are a Beta distribution test, a Likelihood ratio test, and a Bootstrap test, where each was designed to address distributional concerns present in the current testing methods. It was ultimately shown through simulations comparing Type I and Type II error rates that the (unfiltered) Two Sample t-test and the Beta distribution test performed comparatively well.
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Showchaiya, Natthaphon. "Inferential Control System Design for Distillation Process." 京都大学 (Kyoto University), 2002. http://hdl.handle.net/2433/149792.

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27

Leckie, Gail. "The meaning of logical constants : an inferentialist account." Thesis, University of Oxford, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711820.

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28

Tabet, Chiara. "Inferences in context : contextualism, inferentialism and the concept of universal quantification." Thesis, St Andrews, 2008. http://hdl.handle.net/10023/688.

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29

Worling, David. "Nonverbal learning disabilities, an understanding of inferential competencies." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27753.pdf.

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30

Lant, Paul Andrew. "Adaptive Inferential Estimation : application to an industrial bioreactor." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239732.

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31

Strey, Cl?udia. "The language of emotions : an ostensive-inferential study." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2016. http://tede2.pucrs.br/tede2/handle/tede/7107.

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Submitted by Setor de Tratamento da Informa??o - BC/PUCRS (tede2@pucrs.br) on 2016-12-23T13:21:26Z No. of bitstreams: 1 TES_CLAUDIA_STREY_COMPLETO.pdf: 1295034 bytes, checksum: 51f980685ffeba89c8deb5e1b57182d4 (MD5)
Made available in DSpace on 2016-12-23T13:21:26Z (GMT). No. of bitstreams: 1 TES_CLAUDIA_STREY_COMPLETO.pdf: 1295034 bytes, checksum: 51f980685ffeba89c8deb5e1b57182d4 (MD5) Previous issue date: 2016-01-25
Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior - CAPES
Conselho Nacional de Pesquisa e Desenvolvimento Cient?fico e Tecnol?gico - CNPq
Esta disserta??o tem como objetivo ampliar o escopo da Teoria da Relev?ncia a fim de explicar como as emo??es influenciam a comunica??o, avaliando o potencial descritivo-explanat?rio da teoria. O trabalho ? composto por tr?s cap?tulos independentes, e cada um deles compreende uma quest?o de pesquisa e uma hip?tese correspondente. O primeiro cap?tulo fornece a base para os argumentos desenvolvidos nos pr?ximos cap?tulos. Ele explora como a emo??o foi estudada na Filosofia da Linguagem e da Neuroci?ncia. O segundo cap?tulo desenvolve a Teoria da Relev?ncia, de Sperber e Wilson (1986/1995, 2015) com o objetivo de defender uma pragm?tica mais ampla, que envolve tanto comportamentos verbais como n?o-verbais (Wharton, 2009). Foca-se principalmente em como os comportamentos naturais, tais como express?es faciais e pros?dia, transmitem emo??es. O terceiro e ?ltimo cap?tulo organiza a Teoria da Relev?ncia para explicar a comunica??o emocional. Em seguida, prop?e-se a exist?ncia de dois n?veis de comunica??o: um proposicional e um emocional, ambos guiados pelo princ?pio da relev?ncia. Por fim, argumenta-se que os comportamentos n?o-verbais, as palavras e as descri??es de emo??o, e os usos vagos de linguagem codificam procedimentos de compreens?o da emo??o, que ajudam a orientar o processo de compreens?o a fim de criar efeitos cognitivos-afetivos. Este trabalho busca proporcionar mudan?as te?ricas ? Teoria da Relev?ncia para que ela possa explicar a linguagem da emo??o.
This dissertation aims to broaden relevance theory scope in order to account for emotions in communication, evaluating its descriptive-explanatory potential. This work consists of three independent chapters, and each one of them comprehends one research question and its corresponding hypothesis. The first chapter provides the basis for the arguments developed in the subsequent chapters. It explores the study of emotion in philosophy of language and in neuroscience. The second chapter develops Sperber and Wilson?s (1986/1995, 2015) relevance theory in order to argue for a broader pragmatics, which involves both verbal and non-verbal behaviours (in line with Wharton, 2009). The focus was mainly on how natural behaviours, such as facial expressions and prosody, convey emotions. The third and last chapter reorganise relevance theory in order to explain emotional communication. It is proposed the existence of two levels of communication: a propositional one and an emotional one, both relevance-driven. I finally argue that non-verbal behaviours, words and descriptions of emotion and loose uses of language encode emotionalreading procedures that help guide the comprehension process in order to yield cognitive-affective effects. This work seeks to provide theoretical improvements to relevance theory so it can explain the language of emotion.
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Bulatov, Dasha. "Component skills of inferential processing in older readers." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12062.

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Thesis (M.S.)--Boston University
The ability to make inferences has been shown to be a crucial component of successful reading in older students. The current project investigates differences in comprehension of text-based (factual) and inferential information across grade levels and modalities, and seeks to determine which component language and reading skills that are important in making inferences. 1,836 students in grades 6-12 were tested on a computerized battery of language subtests in the auditory and written modalities. Eleven subtests examining performance on lower levels of were administered in addition to a measure of factual and inferential discourse comprehension. Results demonstrated that students performed better overall in the written modality. Students in older grades were consistently faster and more accurate. Vocabulary knowledge had the biggest effect for performance on inferential questions in the written modality in middle school, while sentence-level skills were most important in high school. In the auditory modality, sentence-level skills were most predictive across question types and grade levels. Implications for theories of inferential processing and for teaching inferences within literacy education frameworks will be discussed.
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33

Ferri-Milligan, Paula. "Inferential reasoning and the needs of basic writers." CSUSB ScholarWorks, 1993. https://scholarworks.lib.csusb.edu/etd-project/823.

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Murphy, Judith E. "The development of a reading test for inferential comprehension /." [St. Lucia, Qld.], 2002. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe17122.pdf.

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35

Pazouki, Kayvan. "Inferential measurement and control of ballast water treatment system." Thesis, University of Newcastle Upon Tyne, 2012. http://hdl.handle.net/10443/1433.

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As a result of interaction with the surrounding environment, shipping has become one of the vectors of bio-invasion across the globe. Ballast water is one of the means of bio-invasion from shipping through which microorganisms break through natural barriers and establish in a new location. Shipboard treatment systems are predominately considered as mitigating measures for bio-invasion via a ballast water system. Currently shipboard performance monitoring of ballast water treatment systems, and thus assessment of discharge quality of ballast water as required by the Convention, depends on off-line laboratory assays with long delay analysis. Lack of online measurement sensors to assess the viability of microorganisms after treatment has made monitoring and thus control of ballast water treatment systems difficult. In this study, a methodology was developed, through a mathematical algorithm, to provide an inferential model-based measurement system in order to monitor and thus control non-observable ballast water systems. In the developed inferential measurement the primary output of the treatment system is inferred by using easy to measure secondary output variables and a model relating these two outputs. Data-driven modeling techniques, including Artificial Neural Networks (ANN), were used to develop an estimator for the small scale UV treatment system based on the data obtained from conducted experiments. The results from ANN showed more accuracy in term of Root Mean Squared Error (RMSE) and Linear Correlation Coefficient (LCC) when compared to the other techniques. The same methodology was implemented to a larger scale treatment system comprising micro-filter and UV reactor. A software-based inferential measurement for online monitoring of the treatment system was then developed. Following monitoring, inferential control of the treatment setup was also accomplished using direct inverse control strategy. A software-based “Decision Making Tool” consisted of two intelligent inverse models, which were used to control treatment flow rate and maintain the effective average UV dose. The results from this study showed that software-based estimation of treatment technologies can provide online measurement and control for ballast water system.
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36

Maloney, Craig. "Automatic inferential bias adjustment: Optimisation of an industrial application." Thesis, Maloney, Craig (2017) Automatic inferential bias adjustment: Optimisation of an industrial application. Honours thesis, Murdoch University, 2017. https://researchrepository.murdoch.edu.au/id/eprint/40492/.

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Not all process variables can be directly measured, some require alternative measured variables together with their known relationship to enable a calculation of an inferred value of the required variable. As these inferred values rely on a fixed calculation a common practice in maintaining their accuracy is by continued automatic bias adjustment as a result of errors determined through laboratory analysis. The focus of the project was to determine the optimal method of bias adjustment of an industrial application of this process within an alumina refinery. Specifically, the critical digestion control variable the Blow Off Ratio (BOR). The current method of using a cumulative summation (CUSUM) of the errors resulting from the laboratory analysis with a fixed trigger limit to initiate a bias correction was used as a reference enabling average error reductions to be determined by the simulated alternative methods. The standard CUSUM using a multiple of the process standard deviation to establish a dynamic trigger resulted in average error improvements across all five digestion units of the initial testing. Optimising both CUSUM trigger parameters (fixed and dynamic) resulted in minimal average error solution operating outside the definition of a CUSUM. Simulation of a standard error filter
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37

Lundin, Mia. "Inferensträning : En kvalitativ studie av fyra lågstadielärares undervisning för att utveckla elevers förmåga att göra inferenser i skönlitterära texter i ämnet svenska." Thesis, Södertörns högskola, Lärarutbildningen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-29123.

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This study focuses on inferential comprehension instruction in the classroom. The overall aim is to study the way in which four teachers are designing their lessons to develop their students’ ability to make inferences in literary text in the Swedish subject. The main focus is to explore what teaching modules may look like to promote students’ ability to make inferences (e.g. text choice, group size and method) and how the teachers motivate their didactic work. The study is also focused on the opportunities and challenges associated with inferential comprehension instruction. The methods used are qualitative studies using observations and interviews. The material consists of observation notes and interview recordings. The concept of inference and reading comprehension is consistent in the study and focuses on the importance of explicit instruction to improve the students’ inference comprehension. The models of inferential instruction are used to analyze the empirical material. The results show that teachers prefer to teach their students in groups of approximately 12 students, and they choose texts that are close to the students’ everyday life and in which a lot of inferences can be made. The majority of the teachers in the study demonstrate how they use the inference strategy by the method think aloud, to show their students examples of how to think and for them to use the strategy on their own eventually. All teachers remind the students of their own background knowledge, which is proven to increase the students’ ability to make inferences. This study shows that the possibilities with the teachers’ inference instruction lead to a deeper understanding among the students when reading. The challenges are lack of time when preparing, impatient students, and if the students do not activate the right background knowledge from the beginning, which will lead to misunderstandings while reading the text.
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38

Landy, David Nelson Alan Jean. "The synthesis of concepts inferentialism and semantic theory in Hume, Kant, and Hegel /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2008. http://dc.lib.unc.edu/u?/etd,1929.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2008.
Title from electronic title page (viewed Dec. 11, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department of Philosophy." Discipline: Philosophy; Department/School: Philosophy.
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39

Kwan, Yuk-kwan, and 關煜群. "The research of using Bayesian inferential network in digital forensicanalysis." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45898066.

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40

Fairley, Neil. "Necessity and sufficiency judgements in causal, deontic and inferential reasoning." Thesis, University of Wolverhampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244705.

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41

Montague, G. A. "Inferential self-tuning control of the fed-batch penicillin fermentation." Thesis, University of Newcastle Upon Tyne, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278876.

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42

Kistner, Melissa. "Image texture analysis for inferential sensing in the process industries." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/85791.

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Thesis (MScEng)-- Stellenbosch University, 2013.
ENGLISH ABSTRACT: The measurement of key process quality variables is important for the efficient and economical operation of many chemical and mineral processing systems, as these variables can be used in process monitoring and control systems to identify and maintain optimal process conditions. However, in many engineering processes the key quality variables cannot be measured directly with standard sensors. Inferential sensing is the real-time prediction of such variables from other, measurable process variables through some form of model. In vision-based inferential sensing, visual process data in the form of images or video frames are used as input variables to the inferential sensor. This is a suitable approach when the desired process quality variable is correlated with the visual appearance of the process. The inferential sensor model is then based on analysis of the image data. Texture feature extraction is an image analysis approach by which the texture or spatial organisation of pixels in an image can be described. Two texture feature extraction methods, namely the use of grey-level co-occurrence matrices (GLCMs) and wavelet analysis, have predominated in applications of texture analysis to engineering processes. While these two baseline methods are still widely considered to be the best available texture analysis methods, several newer and more advanced methods have since been developed, which have properties that should theoretically provide these methods with some advantages over the baseline methods. Specifically, three advanced texture analysis methods have received much attention in recent machine vision literature, but have not yet been applied extensively to process engineering applications: steerable pyramids, textons and local binary patterns (LBPs). The purpose of this study was to compare the use of advanced image texture analysis methods to baseline texture analysis methods for the prediction of key process quality variables in specific process engineering applications. Three case studies, in which texture is thought to play an important role, were considered: (i) the prediction of platinum grade classes from images of platinum flotation froths, (ii) the prediction of fines fraction classes from images of coal particles on a conveyor belt, and (iii) the prediction of mean particle size classes from images of hydrocyclone underflows. Each of the five texture feature sets were used as inputs to two different classifiers (K-nearest neighbours and discriminant analysis) to predict the output variable classes for each of the three case studies mentioned above. The quality of the features extracted with each method was assessed in a structured manner, based their classification performances after the optimisation of the hyperparameters associated with each method. In the platinum froth flotation case study, steerable pyramids and LBPs significantly outperformed the GLCM, wavelet and texton methods. In the case study of coal fines fractions, the GLCM method was significantly outperformed by all four other methods. Finally, in the hydrocyclone underflow case study, steerable pyramids and LBPs significantly outperformed GLCM and wavelet methods, while the result for textons was inconclusive. Considering all of these results together, the overall conclusion was drawn that two of the three advanced texture feature extraction methods, namely steerable pyramids and LBPs, can extract feature sets of superior quality, when compared to the baseline GLCM and wavelet methods in these three case studies. The application of steerable pyramids and LBPs to further image analysis data sets is therefore recommended as a viable alternative to the traditional GLCM and wavelet texture analysis methods.
AFRIKAANSE OPSOMMING: Die meting van sleutelproseskwaliteitsveranderlikes is belangrik vir die doeltreffende en ekono-miese werking van baie chemiese– en mineraalprosesseringsisteme, aangesien hierdie verander-likes gebruik kan word in prosesmonitering– en beheerstelsels om die optimale prosestoestande te identifiseer en te handhaaf. In baie ingenieursprosesse kan die sleutelproseskwaliteits-veranderlikes egter nie direk met standaard sensors gemeet word nie. Inferensiële waarneming is die intydse voorspelling van sulke veranderlikes vanaf ander, meetbare prosesveranderlikes deur van ‘n model gebruik te maak. In beeldgebaseerde inferensiële waarneming word visuele prosesdata, in die vorm van beelde of videogrepe, gebruik as insetveranderlikes vir die inferensiële sensor. Hierdie is ‘n gepaste benadering wanneer die verlangde proseskwaliteitsveranderlike met die visuele voorkoms van die proses gekorreleer is. Die inferensiële sensormodel word dan gebaseer op die analise van die beelddata. Tekstuurkenmerkekstraksie is ‘n beeldanalisebenadering waarmee die tekstuur of ruimtelike organisering van die beeldelemente beskryf kan word. Twee tekstuurkenmerkekstraksiemetodes, naamlik die gebruik van grysskaalmede-aanwesigheidsmatrikse (GSMMs) en golfie-analise, is sterk verteenwoordig in ingenieursprosestoepassings van tekstuuranalise. Alhoewel hierdie twee grondlynmetodes steeds algemeen as die beste beskikbare tekstuuranalisemetodes beskou word, is daar sedertdien verskeie nuwer en meer gevorderde metodes ontwikkel, wat beskik oor eienskappe wat teoreties voordele vir hierdie metodes teenoor die grondlynmetodes behoort te verskaf. Meer spesifiek is daar drie gevorderde tekstuuranalisemetodes wat baie aandag in onlangse masjienvisieliteratuur geniet het, maar wat nog nie baie op ingenieursprosesse toegepas is nie: stuurbare piramiedes, tekstons en lokale binêre patrone (LBPs). Die doel van hierdie studie was om die gebruik van gevorderde tekstuuranalisemetodes te vergelyk met grondlyntekstuuranaliesemetodes vir die voorspelling van sleutelproseskwaliteits-veranderlikes in spesifieke prosesingenieurstoepassings. Drie gevallestudies, waarin tekstuur ‘n belangrike rol behoort te speel, is ondersoek: (i) die voorspelling van platinumgraadklasse vanaf beelde van platinumflottasieskuime, (ii) die voorspelling van fynfraksieklasse vanaf beelde van steenkoolpartikels op ‘n vervoerband, en (iii) die voorspelling van gemiddelde partikelgrootteklasse vanaf beelde van hidrosikloon ondervloeie. Elk van die vyf tekstuurkenmerkstelle is as insette vir twee verskillende klassifiseerders (K-naaste bure en diskriminantanalise) gebruik om die klasse van die uitsetveranderlikes te voorspeel, vir elk van die drie gevallestudies hierbo genoem. Die kwaliteit van die kenmerke wat deur elke metode ge-ekstraheer is, is op ‘n gestruktureerde manier bepaal, gebaseer op hul klassifikasieprestasie na die optimering van die hiperparameters wat verbonde is aan elke metode. In die platinumskuimflottasiegevallestudie het stuurbare piramiedes en LBPs betekenisvol beter as die GSMM–, golfie– en tekstonmetodes presteer. In die steenkoolfynfraksiegevallestudie het die GSMM-metode betekenisvol slegter as al vier ander metodes presteer. Laastens, in die hidrosikloon ondervloeigevallestudie het stuurbare piramiedes en LBPs betekenisvol beter as die GSMM– en golfiemetodes presteer, terwyl die resultaat vir tekstons nie beslissend was nie. Deur al hierdie resultate gesamentlik te beskou, is die oorkoepelende gevolgtrekking gemaak dat twee van die drie gevorderde tekstuurkenmerkekstraksiemetodes, naamlik stuurbare piramiedes en LBPs, hoër kwaliteit kenmerkstelle kan ekstraheer in vergelyking met die GSMM– en golfiemetodes, vir hierdie drie gevallestudies. Die toepassing van stuurbare piramiedes en LBPs op verdere beeldanalise-datastelle word dus aanbeveel as ‘n lewensvatbare alternatief tot die tradisionele GSMM– en golfietekstuuranalisemetodes.
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43

Yuan, Chenjie. "Reasoning in dialogue: exploring the inferential articulation of speech acts." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673550.

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This dissertation studies the inferential articulation of speech acts (in particular, assertions and questions) in dialogue, drawing upon two theoretical frameworks, a normative Question Under Discussion (qud) model of discourse and a type-theoretical framework for semantics. It is demonstrated that, under a normative inferentialist view of speech acts, the potential of reacting to a speech act can be characterized in terms of the existence of a proper question that bridges the two concerned speech acts, and furthermore, that the rhetorical relation that emerges from this one-turn dialogical interaction can be reduced to a family of qud-relations (i.e., question resolution and question implication). The analyses presented in this dissertation give rise to a more comprehensive qud-model of discourse called RiD (acronym for "Reasoning in Dialogue").
Aquesta tesi estudia l’articulació inferencial dels actes de parla (en particular, assercions i preguntes) en diàleg, a partir de dos marcs teòrics, el model Question Under Discussion (qud) normatiu del discurs i la semàntica basada en la teoria de tipus. Es demostra que, sota una visió normativo-inferentialista dels actes de parla, és possible caracteritzar el potencial de respondre a un acte de parla en termes de l’existència d’una pregunta que relaciona els dos actes de parla en qüestió, i a més, que la relació retòrica que emergeix d’aquesta interacció dialògica d’un sol torn es pot reduir a una família de relacions qud (i.e., resolució de preguntes i implicació de preguntes). Les anàlisis presentades en aquesta tesi donen lloc a un model qud del discurs més complet anomenat RiD (acrònim de “raonament en el diàleg”).
Esta tesis estudia la articulación inferencial de los actos de habla (en particular, aserciones y preguntas) en diálogo, basándose en dos marcos teóricos, el modelo Question Under Discussion (qud) normativo del discurso y la semántica basada en la teoría de tipos. Se demuestra que, bajo una visión normativo-inferentialista de los actos de habla, es posible caracterizar el potencial de responder a un acto de habla en términos de la existencia de una pregunta que relaciona los dos actos de habla en cuestión, y además, que la relación retórica que emerge de esta interacción dialógica de un solo turno puede reducirse a una familia de relaciones qud (i.e., resoluci´on de preguntas e implicación de preguntas). Los análisis presentados en esta tesis dan lugar a un modelo qud del discurso más completo llamado RiD (acrónimo de ”razonamiento en el diálogo”).
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44

Boff, Ibsen. "The inferential architecture underlying meaning in Woody Allen’s Match Point." Pontifícia Universidade Católica do Rio Grande do Sul, 2007. http://hdl.handle.net/10923/4201.

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Made available in DSpace on 2013-08-07T19:02:22Z (GMT). No. of bitstreams: 1 000399895-Texto+Completo-0.pdf: 508231 bytes, checksum: 2ada968dabb14baf842d3975ca2b3186 (MD5) Previous issue date: 2007
A semantics/pragmatics interface may resolve problems of indeterminacy of meaning. The current study attempts to suggest models of inferential architecture based on Grice’s Amplified Model, as proposed by Costa (1984, 2004), and on the Relevance Theoretic Framework, as envisaged by Sperber and Wilson (1986, 1995), for analyzing and interpreting Woody Allen’s Match Point (2005). Concomitantly, an empirical investigation takes place. Findings seem to suggest that meaning is inferentially processed on the basis of non-trivial logical deduction, and that the more viewers are able to predict and relate, the higher their understanding of a cinematic text will be.
Uma interface entre a semântica e a pragmática pode resolver problemas de indeterminação de significado. O presente estudo almeja sugerir modelos de arquiteturas inferenciais com base no Modelo Ampliado de Grice, proposto por Costa (1984, 2004) e no Arcabouço Teórico da Relevância, como vislumbrado por Sperber e Wilson (1986, 1995), para analisar e interpretar Match Point (2005) de Woody Allen. Concomitantemente uma investigação empírica se desenvolve. Os resultados parecem sugerir que o significado é processado inferencialmente, com base na lógica dedutiva não-trivial e que quanto mais um expectador for capaz de fazer relações e previsões, maior será o seu entendimento sobre o texto cinematográfico.
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45

Akdemir, Deniz. "A Class of Multivariate Skew Distributions: Properties and Inferential Issues." Bowling Green, Ohio : Bowling Green State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=bgsu1237574643.

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46

Roy, Melissa Ann. "Inferential Intuitive and Analytic Thought Processes in Criminal Investigative Decision." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7190.

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According to previous researchers police detectives' decisional thought processes correlate with investigative accuracy and these decisional thought processes consist of inferential intuitive and analytic thought processes. Researchers have established investigative decisional dual process use but have not established United States police detectives' conceptualization of decisional inferential intuitive and analytic thought processes in criminal investigations in which they partook. The purpose of this qualitative study was to explore 11 United States police detectives' conceptualizations of decisional thought processes based on criminal investigations in which they partook. Dual process theory framed this study. Using narrative inquiry research, individual face-to-face interviews were analyzed thematically and structurally. The results of this analysis indicated significant themes associated with inferential intuitive and analytic thought process conceptualizations. Themes that were established were: (a) inferential intuitive starting points, (b) inferential intuitive information, (c) inferential intuitive experience driven, (d) inferential intuitive value, (e) inferential intuitive fallible, (f) analytic mandatory, (g) analytic purpose, (h) analytic collaborative. Police detectives, as well as society as a whole, may benefit from the results of this study through enhanced investigative training and education. Enhanced investigative training and education may result in a reduction of investigative decisional errors.
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47

Vaughan, Nicolás. "Ockham's conception of logic as a rational science : an inferentialist interpretation." Thesis, University of Oxford, 2013. http://ora.ox.ac.uk/objects/uuid:4a35a4ce-daf2-4516-8468-c7d04e259ba2.

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This thesis is a detailed examination of the logico-semantic system propounded by the English philosopher and theologian William of Ockham (c.1287 – c.1347). It provides a reinterpretation of Ockham's account of mental content and mental-language semantics, as well as of his theory of consequential goodness. It does so from the standpoint of an inferentialist theory of meaning, in rejection of previous attempts made from the standpoint of internalist and externalist theories of mental content. Chapter 1 ('The Scientic Status of Logic') provides an account of Ockham's understanding of logic as a rational, practical, ostensive science. Chapter 2 ('The Received Interpretation') presents and casts doubt upon the arguments put forward by the defenders of both externalist and internalist construals of Ockham's semantic theory. Chapter 3 ('An Inferentialist Construal') presents the central tenets of a inferentialist theory of meaning. In order to show how Ockham's system can be understood within such a semantic paradigm, we will have to set out at least three things. First, Chapter 4 ('Ockham's Propositionalism') argues that the mature Ockham actually embraced a propositionalist theory of meaning. Second, Chapter 5 ('Obligationes and the Normativity of Asserting') seeks to prove that such a theory of meaning can only be properly understood against the normative background provided by his theory of obligationes. Finally, Chapter 6 ('Consequences') argues that Ockham's theory of consequential goodness is materialist, not formalist. That is to say, that the goodness of a certain kind of consequence ultimately depends upon the meaning of its propositional parts, rather than upon its structure. It is then shown that all remaining kinds of consequences (syllogisms included) are to understood with respect to these material inferences. The main sources of this research are Ockham's Ordinatio, his Summa logicae, and his Quodlibeta septem. As regards the inferentialist theory of meaning, Robert Brandom's Making it Explicit (1994) and Wilfrid Sellars 'Inference and Meaning' (1953) were essential to this research.
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48

Rallo, Moya Robert. "Multi-tier framework for the inferential measurement and data-driven modeling." Doctoral thesis, Universitat Rovira i Virgili, 2007. http://hdl.handle.net/10803/8552.

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A framework for the inferential measurement and data-driven modeling has been proposed and assessed in several real-world application domains. The architecture of the framework has been structured in multiple tiers to facilitate extensibility and the integration of new components. Each of the proposed four tiers has been assessed in an uncoupled way to verify their suitability. The first tier, dealing with exploratory data analysis, has been assessed with the characterization of the chemical space related to the biodegradation of organic chemicals. This analysis has established relationships between physicochemical variables and biodegradation rates that have been used for model development. At the preprocessing level, a novel method for feature selection based on dissimilarity measures between Self-Organizing maps (SOM) has been developed and assessed. The proposed method selected more features than others published in literature but leads to models with improved predictive power. Single and multiple data imputation techniques based on the SOM have also been used to recover missing data in a Waste Water Treatment Plant benchmark. A new dynamic method to adjust the centers and widths of in Radial basis Function networks has been proposed to predict water quality. The proposed method outperformed other neural networks.
The proposed modeling components have also been assessed in the development of prediction and classification models for biodegradation rates in different media. The results obtained proved the suitability of this approach to develop data-driven models when the complex dynamics of the process prevents the formulation of mechanistic models. The use of rule generation algorithms and Bayesian dependency models has been preliminary screened to provide the framework with interpretation capabilities. Preliminary results obtained from the classification of Modes of Toxic Action (MOA) indicate that this could be a promising approach to use MOAs as proxy indicators of human health effects of chemicals.
Finally, the complete framework has been applied to three different modeling scenarios. A virtual sensor system, capable of inferring product quality indices from primary process variables has been developed and assessed. The system was integrated with the control system in a real chemical plant outperforming multi-linear correlation models usually adopted by chemical manufacturers. A model to predict carcinogenicity from molecular structure for a set of aromatic compounds has been developed and tested. Results obtained after the application of the SOM-dissimilarity feature selection method yielded better results than models published in the literature. Finally, the framework has been used to facilitate a new approach for environmental modeling and risk management within geographical information systems (GIS). The SOM has been successfully used to characterize exposure scenarios and to provide estimations of missing data through geographic interpolation. The combination of SOM and Gaussian Mixture models facilitated the formulation of a new probabilistic risk assessment approach.
Aquesta tesi proposa i avalua en diverses aplicacions reals, un marc general de treball per al desenvolupament de sistemes de mesurament inferencial i de modelat basats en dades. L'arquitectura d'aquest marc de treball s'organitza en diverses capes que faciliten la seva extensibilitat així com la integració de nous components. Cadascun dels quatre nivells en que s'estructura la proposta de marc de treball ha estat avaluat de forma independent per a verificar la seva funcionalitat. El primer que nivell s'ocupa de l'anàlisi exploratòria de dades ha esta avaluat a partir de la caracterització de l'espai químic corresponent a la biodegradació de certs compostos orgànics. Fruit d'aquest anàlisi s'han establert relacions entre diverses variables físico-químiques que han estat emprades posteriorment per al desenvolupament de models de biodegradació. A nivell del preprocés de les dades s'ha desenvolupat i avaluat una nova metodologia per a la selecció de variables basada en l'ús del Mapes Autoorganitzats (SOM). Tot i que el mètode proposat selecciona, en general, un major nombre de variables que altres mètodes proposats a la literatura, els models resultants mostren una millor capacitat predictiva. S'han avaluat també tot un conjunt de tècniques d'imputació de dades basades en el SOM amb un conjunt de dades estàndard corresponent als paràmetres d'operació d'una planta de tractament d'aigües residuals. Es proposa i avalua en un problema de predicció de qualitat en aigua un nou model dinàmic per a ajustar el centre i la dispersió en xarxes de funcions de base radial. El mètode proposat millora els resultats obtinguts amb altres arquitectures neuronals.
Els components de modelat proposat s'han aplicat també al desenvolupament de models predictius i de classificació de les velocitats de biodegradació de compostos orgànics en diferents medis. Els resultats obtinguts demostren la viabilitat d'aquesta aproximació per a desenvolupar models basats en dades en aquells casos en els que la complexitat de dinàmica del procés impedeix formular models mecanicistes. S'ha dut a terme un estudi preliminar de l'ús de algorismes de generació de regles i de grafs de dependència bayesiana per a introduir una nova capa que faciliti la interpretació dels models. Els resultats preliminars obtinguts a partir de la classificació dels Modes d'acció Tòxica (MOA) apunten a que l'ús dels MOA com a indicadors intermediaris dels efectes dels compostos químics en la salut és una aproximació factible.
Finalment, el marc de treball proposat s'ha aplicat en tres escenaris de modelat diferents. En primer lloc, s'ha desenvolupat i avaluat un sensor virtual capaç d'inferir índexs de qualitat a partir de variables primàries de procés. El sensor resultant ha estat implementat en una planta química real millorant els resultats de les correlacions multilineals emprades habitualment. S'ha desenvolupat i avaluat un model per a predir els efectes carcinògens d'un grup de compostos aromàtics a partir de la seva estructura molecular. Els resultats obtinguts desprès d'aplicar el mètode de selecció de variables basat en el SOM milloren els resultats prèviament publicats. Aquest marc de treball s'ha usat també per a proporcionar una nova aproximació al modelat ambiental i l'anàlisi de risc amb sistemes d'informació geogràfica (GIS). S'ha usat el SOM per a caracteritzar escenaris d'exposició i per a desenvolupar un nou mètode d'interpolació geogràfica. La combinació del SOM amb els models de mescla de gaussianes dona una nova formulació al problema de l'anàlisi de risc des d'un punt de vista probabilístic.
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49

Ozbek, Murat Olus. "Inferential Model Predictive Control Of Poly(ethylene Terephthalate) Degradation During Extrusion." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/12607497/index.pdf.

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Poly(ethylene terephthalate), PET, which is commonly used as a packaging material, is not degradable in nature. As an issue of sustainable development it must be recycled and converted into other products. During this process, extrusion is an important unit operation. In extrusion process, if the operating conditions are not controlled, PET can go under degradation, which results in the loss of some mechanical properties. In order to overcome the degradation of recycled PET (RPET), this study aims the control of the extrusion process. Dynamic models of the system for control purposes are obtained by experimental studies. In the experimental studies, screw speed, feed rate and barrel temperatures are taken as process variables in the ranges of 50 &ndash
500 rpm, 3.85 &ndash
8.16 g/min and 270 &ndash
310 oC respectively. Singular value decomposition (SVD) technique is used for the best pairing between the manipulated &ndash
controlled variables, where screw speed is taken as the manipulated variable and molecular weight of the product is taken as the controlled variable. PID and model predictive controller (MPC) are designed utilizing the dynamic models in the feedback inferential control algorithm. In the simulation studies, the performance of the designed inferential control system, where molecular weight (Mv) of the product is estimated from the measured intrinsic viscosity ([&
#951
]) of the product, is investigated. The controller utilizing PID and MPC control algorithms are found to be robust and satisfactory in tracking the given set points and eliminating the effects of the disturbances.
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50

Allen-Hermanson, Sean. "Attributions of inferential error, epistemic virtues, and models of minimal rationality." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0021/MQ54364.pdf.

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