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Статті в журналах з теми "Modelli deterministici"

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ÇELİK EROĞLU, Şeyma, and Yusuf ŞAHİN. "Geri Dönüşüm Süreci İçin Yeni Bir Bulanık Envanter Modeli." Deu Muhendislik Fakultesi Fen ve Muhendislik 25, no. 73 (January 26, 2023): 21–36. http://dx.doi.org/10.21205/deufmd.2023257303.

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Kullanım ömrü sona eren ürünlerin çeşitli işlemlerden sonra yeniden kullanılabilir hale getirilmesi çevresel, ekonomik ve sosyal alanlarda insanoğluna birçok fayda sağlar. Çevrenin korunması, hammadde ihtiyacının azalması, kaynakların ekonomik kullanımı ve kirliliğin azaltılması gibi faydaları nedeniyle de geri dönüşüm sektörünün önemi dünya çapında giderek artmaktadır. Bu çalışmada, geri dönüşüm sürecini içeren bulanık bir stok modeli önerilmiştir. İlk olarak, Dobos ve Richter (2003) tarafından geliştirilen sabit talep ve geri dönüş oranlarına sahip genişletilmiş bir üretim/geri dönüşüm modeli atıkların yok edilme süreci ve oluşacak stok düzeyi bakımından yeniden düzenlenmiştir. Ardından talep, marjinal geri alma ve marjinal kullanım oranı parametreleri yamuk bulanık sayı olarak kabul edilip model bulanıklaştırılmıştır. Durulaştırma işlemi için kademeli ortalama entegrasyon temsil yöntemi kullanılmıştır. Böylece birim zamandaki toplam maliyet ve optimal çevrim süresi deterministik değerler olarak ifade edilmiştir. Çözülen problemin sonuçları değerlendirildiğinde, önerilen bulanık stok modelinin temel alınan deterministik stok modeline kıyasla çevrim süresi bakımından daha iyi sonuçlar verdiği gözlemlenmiştir.
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Çağlar, Hatice Nazan. "Bitcoin kaotik analizi ve fiyat tahmin modeli önerisi." Journal of Life Economics 9, no. 1 (February 2, 2022): 33–39. http://dx.doi.org/10.15637/jlecon.9.1.03.

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Kaos Teorisi, doğrusal olmayan dinamik sistemlerin davranışlarını tanımlar ve ekonomi alanında pek çok verinin modellenmesinde kullanılır. Kaos teori, sistemin doğrusal olmayan ve deterministik bir süreç olduğu varsayımlarına dayanır. Doğrusal modeller, ekonometrik sistemleri karmaşıklıklarını ortaya çıkarmakta yetersiz kalmaktadır. Bu çalışmanın amacı, Bitcoin günlük fiyatlarının zamana bağlı doğrusal olmayan dinamik bir sistem tarafından üretilip üretilmediğini araştırmak ve sistemin uzun vadede geleceğe yönelik tahmin yeteneğini araştırmak ve bir tahminleme modeli oluşturmaktır. Birçok ekonomik veri serisinin kaotik davranış gösterdiği bilinmektedir. Bu çalışmada, Bitcoin fiyatlarının kaotik yapısı incelenmiş ve regresyon yöntemi kullanılarak tahmin modeli kurulmuştur. Diğer bir ifadeyle amaç, Bitcoin fiyatlarının getirilerinin kaotik bir davranış gösterip göstermediğini ortaya koyarak elde edilen gömme (embedding) boyutuna bağlı olarak regresyon yöntemini kullanarak tahmin modeli oluşturmaktır. Çalışmada, 2021 Şubat – 2021 Kasım döneminde günlük kapanış fiyatı ( $ ) veri olarak kullanılmıştır. (URL-1,2021)
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Kanno, Masayasu. "The valuation of stochastic insurance liabilities using a structural model approach." Journal of Financial Engineering 02, no. 01 (March 2015): 1550007. http://dx.doi.org/10.1142/s2345768615500075.

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Liability drives insurers' businesses. This paper examines the structural model approach of credit risk for the valuation of insurance liabilities and insurers' equity, and considers a stochastic process for liability. Grosen and Jørgensen's (2002) study presents the current approach taken by insurers; however, the model's structure is very simple, and its liability structure in particular has a deterministic time function. In contrast, we analyze a model that analytically evaluates an insurer's liability with the stochastic process. Furthermore, we analyze the model's default option originally presented by Myers and Read (2001).
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Colonnese, Fabio. "L’Objet Trouvé come modello tra approcci analogici e digitali." EGA Revista de Expresión Gráfica Arquitectónica 25, no. 40 (November 17, 2020): 156. http://dx.doi.org/10.4995/ega.2020.12934.

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<span>Sebbene questa stagione di tecnologie digitali e tecniche di produzione semiautomatica ha condizionato la maggior parte della tradizionale catena di montaggio e gli strumenti del processo di progettazione e rappresentazione, l'uso di found-objects nella modellistica è ancora praticato, rivelato e promosso da architetti e docenti contemporanei. Questo potrebbe essere interpretato come il sintomo di una sorta di resistenza analogica o un modo per introdurre incidenti pianificati e incertezza in un processo di progettazione deterministico e omologante, ma lo scenario è sfaccettato. Questo contributo discute l'uso di found-objects come modelli nella progettazione dell'architettura e nella pratica della comunicazione. In particolare, descrive le loro radici storiche e la loro funzione critica nella ricerca delle avanguardie artistiche, classifica il loro ruolo nelle diverse fasi del processo di progettazione tradizionale e contemporaneo e si concentra su interazioni e differenze degli approcci analogici e digitali, in relazione alle opportunità semantiche della rappresentazione architettonica.</span>
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Kardash, Stanislav. "Bewertung der Regelgüte bei komplexen Prozessstörungen." atp magazin 61, no. 4 (March 28, 2019): 80–89. http://dx.doi.org/10.17560/atp.v61i4.2392.

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Die vorgeschlagene Methode ist ein Benchmark-Test bei kombinierter deterministisch-stochastischer Störgröße. Die deterministische Strögrößenkomponente wird mit Hilfe eines geeigneten Modells, z.B. Übertragungsfunktion, beschrieben, wodurch eine Auslegung des H2-optimalen Benchmark-Reglers erfolgt. Die stochastische Störgrößenkomponete wird separat modelliert und der stochastische Anteil des Systemverhaltens wird zusätzlich mit Hilfe der konventionellen Minimum-Varianz-Regelung als Benchmark bewertet. Die Performance des Regelungssystems wird auf Basis der L2-Norm des Ausgangssignals bewertet.
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Crabtree, R., H. Garsdal, R. Gent, O. Mark, and J. Dórge. "MOUSETRAP — A DETERMINISTIC SEWER FLOW QUALITY MODEL." Water Science and Technology 30, no. 1 (July 1, 1994): 107–15. http://dx.doi.org/10.2166/wst.1994.0011.

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Recent research into the behaviour of sediments and associated pollutants in sewers has formed the foundation for a dynamic pollutograph-based sewer flow quality simulation model called MOUSETRAP. This is a new component to the MOUSE sewer system hydraulic modelling package. MOUSETRAP has been developed by an international consortium of sewer model developers and users to predict short term variations in sewer flow quality and sediment transport in response to storm events. MOUSETRAP is composed of a series of modules to represent: the quality of surface run off; sediment and pollutant transport, erosion and deposition within pipes; and the biological and chemical processes within the sewer system. By representing the current understanding of real sewer sediments, this new tool gives the user the capability to simulate storm event pollutographs incorporating first foul flush phenomena. The paper describes the basis of the new MOUSETRAP modules. Results of initial theoretical testing and pilot study applications are presented to illustrate the model's capabilities and potential for use in the management of urban wastewater discharges.
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Kleijwegt, Rob A. "On the Prediction of Sediment Transport in Sewers with Deposits." Water Science and Technology 27, no. 5-6 (March 1, 1993): 69–80. http://dx.doi.org/10.2166/wst.1993.0487.

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There is a need for models to predict the negative effects of sewer deposits in order to improve design, maintenance and operation of sewerage systems. The lack of success of deterministic sewer sediment models in the past is caused by a lack of basic knowledge, which causes unknown uncertainties in the model's results. The basic knowledge about non-cohesive sediment transport has been studied with laboratory experiments. This has resulted in an understanding of the non-cohesive sewer sediment transport and the related subjects of bed shear stress, incipient motion, bed forms and flow resistance. This understanding can be used in the development of deterministic models for sewer systems. However, the next objective will be to develop probabilistic models.
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Tyran-Kamińska, M. "Diffusion and Deterministic Systems." Mathematical Modelling of Natural Phenomena 9, no. 1 (2014): 139–50. http://dx.doi.org/10.1051/mmnp/20149110.

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Wood, R. Kevin. "Deterministic network interdiction." Mathematical and Computer Modelling 17, no. 2 (January 1993): 1–18. http://dx.doi.org/10.1016/0895-7177(93)90236-r.

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Lee, Heeyoung, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. "Deterministic Coreference Resolution Based on Entity-Centric, Precision-Ranked Rules." Computational Linguistics 39, no. 4 (December 2013): 885–916. http://dx.doi.org/10.1162/coli_a_00152.

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We propose a new deterministic approach to coreference resolution that combines the global information and precise features of modern machine-learning models with the transparency and modularity of deterministic, rule-based systems. Our sieve architecture applies a battery of deterministic coreference models one at a time from highest to lowest precision, where each model builds on the previous model's cluster output. The two stages of our sieve-based architecture, a mention detection stage that heavily favors recall, followed by coreference sieves that are precision-oriented, offer a powerful way to achieve both high precision and high recall. Further, our approach makes use of global information through an entity-centric model that encourages the sharing of features across all mentions that point to the same real-world entity. Despite its simplicity, our approach gives state-of-the-art performance on several corpora and genres, and has also been incorporated into hybrid state-of-the-art coreference systems for Chinese and Arabic. Our system thus offers a new paradigm for combining knowledge in rule-based systems that has implications throughout computational linguistics.
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Дисертації з теми "Modelli deterministici"

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Artioli, Simone. "Dinamica delle popolazioni: modelli deterministici di Lotka-Volterra." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21934/.

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Анотація:
Lo scopo di questo lavoro di tesi è quello di analizzare i modelli deterministici di dinamica delle popolazioni, dal primo e più semplice modello Malthusiano per la descrizione del comportamento dinamico di un insieme di individui considerati pressoché identici, fino ad arrivare allo studio dei sistemi del tipo preda-predatore trattati grazie al famoso modello di Lotka-Volterra. Tale modello è stato studiato nella sua versione base, in cui esso descrive la dinamica di interazione tra due specie compresenti nello stesso ambiente, sia da un punto di vista puramente matematico sia tramite simulazioni numeriche. Successivamente il modello è stato complicato per descrivere in modo migliore sistemi reali in cui non sono disponibili risorse infinite per lo sviluppo degli individui grazie all’utilizzo di un termine derivato dal modello di crescita logistica. Successivamente si è passati allo studio di un’ultima complicazione del modello, trattando i sistemi a più specie, esponendo il costrutto matematico definente tali sistemi, da un punto di vista puramente teorico per il caso ad N specie, mentre invece è stato approfondito il caso particolare del tipo preda-preda-predatore studiandone le proprietà dinamiche è commentando le soluzioni ricavate nuovamente tramite simulazione. Infine, i modelli precedentemente esposti sono stati utilizzati per operare un confronto con alcuni dati provenienti da due ricerche appartenenti a due ambiti scientifici diversi.
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Li, Shan. "Railway sleeper modelling with deterministic and non-deterministic support conditions." Thesis, KTH, Väg- och banteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91634.

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Railway sleepers have important roles in the complex railway system. Due to different loading condition, poor maintenance of sleeper or bad quality of ballast, a random load distribution along the sleeper-ballast interface may occur. A sleeper design, and also the track system design, which do not consider the random load distribution, could influence the performance of the sleeper and even damage the whole railway system. Thus, a numerical static and dynamic analysis for a pre-stressed concrete mono-block railway sleeper is carried out using finite element method. The structural behaviour of a single sleeper subjected to a random sleeper-ballast interaction is studied in three steps. First, four typical scenarios of support condition for sleeper are discussed in numerical analysis. Second, large enough numerical results under different random support conditions are conducted. Finally, Neural Network methodology is used to study the performance of sleeper under a stochastic support condition. Results of vertical displacement of rail seat, tensile stress at midpoint and underneath rail seat are presented. Moreover, the worst support condition is also identified.
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Bosi, Marco. "Modelli dinamici di geodinamo." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/12062/.

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Questa tesi introduce le basi del geomagnetismo partendo da un approccio ai modelli fluidi e alle equazioni MHS, accennando alle numerose difficoltà che portano in materia di simulazioni e calcoli. In seguito si introducono i modelli a disco con uno studio approfondito della dinamica che, pur partendo da equazioni molto più semplici e approssimate della trattazione fluida, trova riscontro con i punti fondamentali del geomagnetismo e con i comportamenti dei modelli fluidi.
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Smith, Emma Catherine. "Deterministic modelling of whole-body sheep metabolism." Thesis, Curtin University, 2014. http://hdl.handle.net/20.500.11937/807.

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Livestock is amongst Australia’s most enduring and prolific industries; however whole-body modelling approaches are limited in livestock research. Mathematical techniques are employed, extending an existing lamb growth model to adulthood. It tracks wool, protein, fat, metabolites and DNA pools, simulating whole-body metabolism. Implementation into a dynamic optimisation package allows for the optimisation of model parameters to improve model behaviour. The focus is on feed, nutrient absorption, energy expenditure, wool growth and defining appropriate initial conditions.
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Hopf, Craig. "Exchange traded horserace betting fund with deterministic payoff – a mathematical analysis of a profitable deterministic horserace betting model." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/366832.

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The horserace betting market is a subset of the financial market space, and wagering typically inherits a defined return – to – risk trade-off. For horserace betting input into institutional portfolio to be plausible, the payoff – to – risk trade-off from betting must be acceptable for the fund when compared with the return – risk trade-off from the existing mainstream assets included in portfolio investment. A new paradigm for horserace betting modelling and investing is acclaimed in this thesis, as premiss for betting input into institutional portfolio. An exchange traded betting fund is developed in the thesis that is able to generate pre-race (and within-race) investment arbitrage that offers an acceptable, defined return – risk trade-off for the risk averse investor. The extensive former horserace betting market stochastic modelling theory that forecasts racer expected outcomes and payoff, is today succeeded by this research that develops a deterministic horserace betting model (and algorithm) that generates defined payoff for the fund. This deterministic betting model challenges the existing semi-strong efficient market hypothesis toward horserace betting that no betting strategy consistently outperforms the financial market’s benchmark return. Subsequently, the primary research (alternative) hypothesis tested is H_a: profitable exchange traded horserace betting fund with deterministic payoff exists for acceptable institutional portfolio investment.
Thesis (Masters)
Master of Philosophy (MPhil)
Griffith School of Environment
Science, Environment, Engineering and Technology
Full Text
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Contant, Sheila. "Modelagem de reatores de polimerização : deterministica e por redes neurais." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/267389.

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Анотація:
Orientador: Liliane Maria Ferrareso Lona
Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
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Resumo: Neste trabalho, foram estudados diferentes processos de polimerização: (1) homopolimerização do estireno e copolimerização do estireno com metacrilato de metila em emulsão via radical livre convencional e (2) homopolimerização do estireno em massa via radical livre no processo controlado/vivo mediado por nitróxido. A modelagem dos processos foi realizada por meio de duas abordagens diferentes: inicialmente, modelos determinísticos foram desenvolvidos para cada caso e, utilizando resultados gerados por esses modelos, redes neurais foram treinadas para a modelagem inversa dos processos. Na modelagem determinística, foram desenvolvidos programas computacionais para as polimerizações em emulsão e simulações foram realizadas para diferentes condições operacionais. Para a polimerização controlada em massa, foi utilizado um programa computacional da literatura ao qual foram introduzidas modificações. Em todos os casos, foram levantados extensos bancos de dados de parâmetros cinéticos para todos os componentes envolvidos. Para o trabalho com as redes neurais, foi utilizado um programa computacional previamente desenvolvido ao qual foram introduzidas modificações. Redes neurais foram utilizadas para modelagem inversa dos processos, sendo treinadas para a predição de condições operacionais capazes de levar à produção de polímeros com propriedades específicas. As duas metodologias utilizadas para a modelagem matemática foram capazes de extrair importantes e diferentes informações dos processos de polimerização estudados, mostrandose portanto ferramentas bastante interessantes e eficientes para aplicação na área de engenharia de polimerização
Abstract: In this work different polymerization processes were studied: (1) styrene homopolymerization and styrene/methyl methacrylate copolymerization in emulsion in the conventional freeradical process, and (2) styrene homopolymerization in bulk in the nitroxidemediated controlled/living freeradical process. Modelling was developed using two different approaches: initially deterministic models were developed in each case, and using results from these models neural networks were trained to the inverse modelling of the processes. In the deterministic modelling, computational programas were developed to the emulsion polymerizations, and simulations were performed for different operating conditions. A modified computational program from the literature was used in the controlled polymerization in bulk. In all cases, large databases of kinetic parameters to all the compounds present were searched. A modified computational program previously developed was used in the work with neural networks. Neural networks were used to the inverse modelling of the processes, and were trained to predict operating conditions that could lead to production of polymers with specific properties. The two methodologies used in the mathematical modelling were able to extract important and different information from the polymerization processes studied, showing its potential to an efficient aplication in the polymerization area
Doutorado
Desenvolvimento de Processos Químicos
Doutor em Engenharia Química
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Lim, Shen Hin Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Calibration-free image sensor modelling: deterministic and stochastic." Awarded by:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/44563.

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This dissertation presents the calibration-free image sensor modelling process applicable for localisation, such that these are robust to changes in environment and in sensor properties. The modelling process consists of two distinct parts, which are deterministic and stochastic techniques, and is achieved using mechanistic deconvolution, where the sensor???s mechanical and electrical properties are utilised. In the deterministic technique, the sensor???s effective focal length is first estimated by known lens properties, and is used to approximate the lens system by a thick lens and its properties. The aperture stop position offset???which is one of the thick lens properties???then derives a new factor, namely calibration-free distortion effects factor, to characterise distortion effects inherent in the sensor. Using this factor and the given pan and tilt angles of an arbitrary plane of view, the corrected image data is generated. The corrected data complies with the image sensor constraints modified by the pan and tilt angles. In the stochastic technique, the stochastic focal length and distortion effects factor are first approximated, using tolerances of the mechanical and electrical properties. These are then utilised to develop the observation likelihood necessary in recursive Bayesian estimation. The proposed modelling process reduces dependency on image data, and, as a result, do not require experimental setup or calibration. An experimental setup was constructed to conduct extensive analysis on accuracy of the proposed modelling process and its robustness to changes in sensor properties and in pan and tilt angles without recalibration. This was compared with a conventional modelling process using three sensors with different specifications and achieved similar accuracy with one-seventh the number of iterations. The developed model has also shown itself to be robust and, in comparison to the conventional modelling process, reduced the errors by a factor of five. Using area coverage method and one-step lookahead as control strategies, the stochastic sensor model was applied into a recursive Bayesian estimation application and was also compared with a conventional approach. The proposed model provided better target estimation state, and also achieved higher efficiency and reliability when compared with the conventional approach.
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Lei, Hung Fei. "Modelling soil creep using deterministic and stochastic approaches." Thesis, King's College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411022.

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Bald, Atelmo Aloisio. "Modelos deterministicos com equações de diferenças de fenomenos biologicos." [s.n.], 1993. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306491.

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Анотація:
Orientador : Rodney Carlos Bassanezi
Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica
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Resumo: Não informado.
Abstract: Not informed.
Mestrado
Mestre em Matemática Aplicada
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Bartasson, Maria Cristiane. "Modelagem e simulação de um processo de copolimerização pelo uso de logica nebulosa e modelo deterministico." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266659.

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Анотація:
Orientador: Rubens Maciel Filho
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
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Resumo: O processo de copolimerização do metacrilato de metila/acetato de vinila ocorre pelo mecanismo cinético de radicais livres. Este sistema de copolimerização é interessante pois o metacrilato de metila é muito mais reativo que o acetato de vinila, como indicado por suas respectivas taxas de reatividades, 26 e 0,3. O produto é caracterizado pela fração molar de metacrilato de metila no copolímero, pelo peso molecular e pela viscosidade intrínseca. O mecanismo reacional e parâmetros cinéticos foram obtidos da literatura (Congalidis, J.P., 1989) e discutidos no capítulo 3. O processo foi modelado em malha aberta por Mattedi (2003) em um software em Fortran. Tal software foi usado em simulações e estudo do processo. O comportamento dinâmico do sistema foi avaliado. O pacote Statistica versão 7.0 foi utilizado para a execução da técnica de planejamento fatorial, sendo que a ¿planta¿ do processo foi o próprio software de simulação. Esta etapa foi fundamental para a construção de modelos empíricos e da avaliação das variáveis fundamentais para cada saída do processo. A partir das avaliações do planejamento fatorial, escolheram-se as condições para simulação do modelo, inserindo-se variações-degrau nas variáveis de entrada do reator que influenciavam preponderantemente nas variáveis de saída do processo. A fim de se obter modelos práticos para operações no processo, foram elaborados modelos inteligentes, baseados em conceitos de lógica fuzzy
Abstract: The process of solution copolymerization of methyl methacrylate and vinyl acetate occurs through free radicals mechanism. This system of copolymerization is interesting therefore the methyl methacrylate is much more reactive that the vinyl acetate, as indicated for its respective rate of reactivity 26 and 0,3. A idea of the product quality is obtained by the methyl methacrylate molar fraction in the copolymer, molecular weight and intrinsic viscosity. The reaction mechanism and parameters kinetic had been gotten of literature (Congalidis, J.P., 1989) and showed in chapter 3. The process was modeling in open system by Mattedi (2003) in a software in FORTRAN. This software was used in simulation and study of the process. The dynamic behavior of the system was evaluated. The Statistica software version 7.0 was used for the execution of the technique of factorial planning, being that the "plant" of the process was the proper software of simulation. This stage was basic for the construction of empirical models and the evaluation of the basic variable for each control variable of the process. From the evaluations of the factorial planning, one chose the conditions for simulation of the model, inserting itself variation-step in manipulated variable of the reactor that influenced preponderantly in the control variable of the process. In order to get practical models for operations in the process, intelligent models were construct, based in concepts of fuzzy logic
Mestrado
Desenvolvimento de Processos Químicos
Mestre em Engenharia Química
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Книги з теми "Modelli deterministici"

1

Deterministic aspects in mathematical demography. Berlin: Springer-Verlag, 1985.

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2

Bischi, Gian Italo. Sulle orme del caos: Comportamenti complessi in modelli matematici semplici. Milano: B. Mondadori, 2004.

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3

1940-, Radcliffe John, ed. Spatial deterministic epidemics. Providence, R.I: American Mathematical Society, 2003.

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4

Janssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.

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5

Janssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.

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6

Ladislav, Krlín, ed. Deterministický chaos a matematické modely turbulence. Praha: Academia, 1996.

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7

Deterministic lotsizing models for production planning. Berlin: Springer-Verlag, 1991.

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8

Hong, Sung-Min. Deterministic solvers for the Boltzmann transport equation. Wein: Springer, 2011.

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9

Hendricks, Elbert. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.

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10

E, Jannerup O., and Sørensen Paul H, eds. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.

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Частини книг з теми "Modelli deterministici"

1

Albeverio, Sergio. "Modelli deterministici di evoluzione dei sistemi dinamici: introduzione." In UNITEXT, 25–31. Milano: Springer Milan, 2021. http://dx.doi.org/10.1007/978-88-470-4008-3_3.

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2

O’Donnell, T. "Deterministic Catchment Modelling." In River Flow Modelling and Forecasting, 11–37. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4536-4_2.

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3

Cerf, Raphaël, and Joseba Dalmau. "Deterministic Level." In Probability Theory and Stochastic Modelling, 209–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08663-2_26.

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4

Renard, Philippe, Andres Alcolea, and David Ginsbourger. "Stochastic versus Deterministic Approaches." In Environmental Modelling, 133–49. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118351475.ch8.

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5

Roy, Radhika Ranjan. "Deterministic Mobility." In Handbook of Mobile Ad Hoc Networks for Mobility Models, 245–63. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-6050-4_8.

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Chazelle, Bernard. "Deterministic sampling and optimization." In System Modelling and Optimization, 42–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0035458.

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Davis, Mark H. A. "Piecewise-deterministic Markov processes." In Markov Models and Optimization, 35–80. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-4483-2_2.

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Constantin, Isabelle, Michael Florian, and Heinz Spiess. "Deterministic Time Table Transit Assignment." In National Transport Models, 61–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04853-5_6.

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9

Heij, C. "Approximate Modelling of Deterministic Systems." In Modelling, Robustness and Sensitivity Reduction in Control Systems, 271–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-87516-8_17.

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Oakley, Jeremy E. "Modelling with Deterministic Computer Models." In Simplicity, Complexity and Modelling, 51–67. Chichester, UK: John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119951445.ch4.

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Тези доповідей конференцій з теми "Modelli deterministici"

1

Reis, Teresa, Dario Calderon, Pia Sartor, Jonathan E. Cooper, and Judi Cheeseman. "Development of a Wing Weight Convergence Simulation including Uncertainty Modelling and Sensitivity Analysis." In 2018 AIAA Non-Deterministic Approaches Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-2165.

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Smieja, Jaroslaw. "Deterministic Modeling of Stochastic Gene Transcription Processes." In Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.809-018.

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3

White, P. R. "An introduction to deterministic modelling." In IEE Colloquium on The Use of Model Based Digital Signal Processing Techniques in the Analysis of Biomedical Signals. IEE, 1997. http://dx.doi.org/10.1049/ic:19970060.

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Dowse, Malcolm, and Andrew Butterfield. "Modelling deterministic concurrent I/O." In the eleventh ACM SIGPLAN international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1159803.1159823.

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Kaipio, J. P., and M. Juntunen. "Deterministic regression smoothness priors TVAR modelling." In 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258). IEEE, 1999. http://dx.doi.org/10.1109/icassp.1999.756319.

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6

Grills, C., A. Chacko, N. Crawford, P. G. Johnston, D. A. Fennell, S. F. C. O’Rourke, George Maroulis, and Theodore E. Simos. "Deterministic Modelling of BAK Activation Kinetics." In COMPUTATIONAL METHODS IN SCIENCE AND ENGINEERING: Advances in Computational Science: Lectures presented at the International Conference on Computational Methods in Sciences and Engineering 2008 (ICCMSE 2008). AIP, 2009. http://dx.doi.org/10.1063/1.3225249.

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7

Jakobik, Agnieszka, Daniel Grzonka, Joanna Kolodziej, and Horacio Gonzalez-Velez. "Towards Secure Non-Deterministic Meta-Scheduling For Clouds." In 30th Conference on Modelling and Simulation. ECMS, 2016. http://dx.doi.org/10.7148/2016-0596.

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8

Biham, Ofer, Nathalie Q. Balaban, Adiel Loinger, Azi Lipshtat, and Hagai B. Perets. "Deterministic and stochastic simulations of simple genetic circuits." In Stochastic Models in Biological Sciences. Warsaw: Institute of Mathematics Polish Academy of Sciences, 2008. http://dx.doi.org/10.4064/bc80-0-4.

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9

Graur, Oana, and Werner Henkel. "Steps Towards Decentralized Deterministic Network Coding." In 2014 2nd International Conference on Artificial Intelligence, Modelling & Simulation (AIMS). IEEE, 2014. http://dx.doi.org/10.1109/aims.2014.44.

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10

Di Giampaolo, E., and F. Bardati. "A deterministic tool for multipath propagation modelling." In IEEE Antennas and Propagation Society Symposium, 2004. IEEE, 2004. http://dx.doi.org/10.1109/aps.2004.1331813.

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Звіти організацій з теми "Modelli deterministici"

1

Hunt, G., and Y. Y. Azmy. Graphics development of DCOR: Deterministic combat model of Oak Ridge. [Deterministic Combat model of Oak Ridge (DCOR)]. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/7225791.

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2

Bailey, Timothy J. Multiple Runs of a Deterministic Combat Model. Fort Belvoir, VA: Defense Technical Information Center, November 2001. http://dx.doi.org/10.21236/ada406335.

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3

Gregor, Nicholas, Kofi Addo, Linda Al Atik, Gail Atkinson, David Boore, Yousef Bozorgnia, Kenneth Campbell, et al. Comparison of NGA-Sub Ground-Motion Models. Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, November 2020. http://dx.doi.org/10.55461/ubdv7944.

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Анотація:
Ground-motion models (GMMs) for subduction earthquakes recently developed as part of the NGA-Subduction (NGA-Sub) project are compared in this report. The three models presented in this comparison report are documented in their respective PEER reports. Two of the models are developed for a global version and as well regionalized models. The third model is developed based on earthquakes contain in the NGA-Sub dataset only from Japan and as such is applicable for Japan. As part of the comparisons presented in this report, deterministic calculations are provided for the global and regional cases amongst the models. The digital values and additional plots from these deterministic comparisons are provided as part of the electronic supplement for this report. In addition, ground-motion estimates are provided for currently published subduction GMMs. Two example probabilistic seismic hazard analysis calculations are also presented for two sites located in the Pacific Northwest Region in the state of Washington. Based on the limited comparisons presented in this report, a general understanding of these new GMMs can be appreciated with the expectation that the implementation for a specific seismic hazard study should incorporate similar and additional comparisons and sensitivity studies similar to the ones presented in this report.
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4

Varga, B., J. Farkas, R. Cummings, Y. Jiang, and D. Fedyk. Flow and Service Information Model for Deterministic Networking (DetNet). RFC Editor, March 2021. http://dx.doi.org/10.17487/rfc9016.

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5

Anderson, M. G., and J. E. Cochrane. Evaluation of Deterministic Models for Near Surface Soil Moisture Prediction. Fort Belvoir, VA: Defense Technical Information Center, April 1987. http://dx.doi.org/10.21236/ada195388.

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6

Cochrane, J. E., and M. G. Anderson. Evaluation of Deterministic Models for Near Surface Soil Moisture Prediction. Fort Belvoir, VA: Defense Technical Information Center, May 1988. http://dx.doi.org/10.21236/ada196271.

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7

Apostolatos, A., R. Rossi, and C. Soriano. D7.2 Finalization of "deterministic" verification and validation tests. Scipedia, 2021. http://dx.doi.org/10.23967/exaqute.2021.2.006.

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Анотація:
This deliverable focus on the verification and validation of the solvers of Kratos Multiphysics which are used within ExaQUte. These solvers comprise standard body-fitted approaches and novel embedded approaches for the Computational Fluid Dynamics (CFD) simulations carried out within ExaQUte. Firstly, the standard body-fitted CFD solver is validated on a benchmark problem of high rise building - CAARC benchmark and subsequently the novel embedded CFD solver is verified against the solution of the body-fitted solver. Especially for the novel embedded approach, a workflow is presented on which the exact parameterized Computer-Aided Design (CAD) model is used in an efficient manner for the underlying CFD simulations. It includes: A note on the space-time methods Verification results for the body-fitted solver based on the CAARC benchmark Workflow consisting of importing an exact CAD model, tessellating it and performing embedded CFD on it Verification results for the embedded solver based on a high-rise building API definition and usage
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8

Hunt, G., and Y. Y. Azmy. Graphics development of DCOR: Deterministic combat model of Oak Ridge. Office of Scientific and Technical Information (OSTI), October 1992. http://dx.doi.org/10.2172/10184802.

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9

Ray, A., N. Symington, Y. Ley-Cooper, and R. C. Brodie. A quantitative Bayesian approach for selecting a deterministic AEM inversion model. Geoscience Australia, 2020. http://dx.doi.org/10.11636/133626.

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Antolak, Arlyn. Deterministic Model for Neutron-Induced heating in Metal Foils Containing 3He. Office of Scientific and Technical Information (OSTI), September 2001. http://dx.doi.org/10.2172/787894.

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