Relevant bibliographies by topics / Functional model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Functional model'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 May 2022

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Journal articles on the topic "Functional model"

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Horák, Karel, and Vladimír Müller. "Functional model for commuting isometries." Czechoslovak Mathematical Journal 39, no. 2 (1989): 370–79. http://dx.doi.org/10.21136/cmj.1989.102308.

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Lei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (January 9, 2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.

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Forestmodellers have long faced the problem of selecting an appropriate mathematical model to describe tree ontogenetic or size-shape empirical relationships for tree species. A common practice is to develop many models (or a model pool) that include different functional forms, and then to select the most appropriate one for a given data set. However, this process may impose subjective restrictions on the functional form. In this process, little attention is paid to the features (e.g. asymptote and inflection point rather than asymptote and nonasymptote) of different functional forms, and to the intrinsic curve of a given data set. In order to find a better way of comparing and selecting the growth models, this paper describes and analyses the characteristics of the Schnute model. This model has both flexibility and versatility that have not been used in forestry. In this study, the Schnute model was applied to different data sets of selected forest species to determine their functional forms. The results indicate that the model shows some desirable properties for the examined data sets, and allows for discerning the different intrinsic curve shapes such as sigmoid, concave and other curve shapes. Since no suitable functional form for a given data set is usually known prior to the comparison of candidate models, it is recommended that the Schnute model be used as the first step to determine an appropriate functional form of the data set under investigation in order to avoid using a functional form a priori.
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Tryhuk, Václav. "Functional equations and a theoretical model of DLTS." Applications of Mathematics 40, no. 6 (1995): 473–82. http://dx.doi.org/10.21136/am.1995.134308.

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Cardot, Hervé, Frédéric Ferraty, and Pascal Sarda. "Functional linear model." Statistics & Probability Letters 45, no. 1 (October 1999): 11–22. http://dx.doi.org/10.1016/s0167-7152(99)00036-x.

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Bücher, Axel, Holger Dette, and Gabriele Wieczorek. "Testing model assumptions in functional regression models." Journal of Multivariate Analysis 102, no. 10 (November 2011): 1472–88. http://dx.doi.org/10.1016/j.jmva.2011.05.014.

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Elida, Fuster Guillén Doris. "New functional model of research skills in social problem solving." International Journal of Early Childhood Special Education 12, no. 1 (June 30, 2020): 442–51. http://dx.doi.org/10.9756/int-jecse/v12i1.201024.

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Kennedy, John, Stephen M. Matyas, and Nevenko Zunic. "Key Recovery Functional Model." Computers & Security 19, no. 1 (January 2000): 31–36. http://dx.doi.org/10.1016/s0167-4048(00)86360-9.

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Quinn, James H. "A functional TMJ model." Journal of the American Dental Association 120, no. 3 (March 1990): 234. http://dx.doi.org/10.14219/jada.archive.1990.0062.

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Lian, Heng. "Functional partial linear model." Journal of Nonparametric Statistics 23, no. 1 (March 2011): 115–28. http://dx.doi.org/10.1080/10485252.2010.500385.

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James, Gareth M., and Bernard W. Silverman. "Functional Adaptive Model Estimation." Journal of the American Statistical Association 100, no. 470 (June 2005): 565–76. http://dx.doi.org/10.1198/016214504000001556.

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Dissertations / Theses on the topic "Functional model"

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Blackburne, Benjamin P. "Functional model proteins : structure, function and evolution." Thesis, University of Nottingham, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.405144.

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Ma, Genuo. "JACKKNIFE MODEL AVERAGING ON FUNCTIONAL LOGISTIC MODEL." Thesis, Uppsala universitet, Statistiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-413059.

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Jun, Shi. "Frequentist Model Averaging For Functional Logistic Regression Model." Thesis, Uppsala universitet, Statistiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-352519.

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Frequentist model averaging as a newly emerging approach provides us a way to overcome the uncertainty caused by traditional model selection in estimation. It acknowledges the contribution of multiple models, instead of making inference and prediction purely based on one single model. Functional logistic regression is also a burgeoning method in studying the relationship between functional covariates and a binary response. In this paper, the frequentist model averaging approach is applied to the functional logistic regression model. A simulation study is implemented to compare its performance with model selection. The analysis shows that when conditional probability is taken as the focus parameter, model averaging is superior to model selection based on BIC. When the focus parameter is the intercept and slopes, model selection performs better.
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LEAL, RICARDO AUGUSTO BOITEUX MENDES. "GRAMMAR MODEL-BASED FUNCTIONAL TEST." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2008. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=12322@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
O teste funcional de software é um desafio enfrentado há muito tempo por desenvolvedores. A complexidade crescente de sistemas computacionais torna esse desafio ainda maior. Uma tendência apontada como possível solução deste problema é o uso de teste baseado em modelos. Inspirada neste paradigma, esta dissertação retrata uma pesquisa sobre o uso de gramáticas como modelos de teste funcional. Modelos gramaticais podem capturar conceitos e comportamentos de um sistema e de seu ambiente usando um nível de abstração de acordo com o objetivo de teste. Eles também podem ser aplicados para descrever casos de teste funcional e guiar a execução de casos de teste gerados num sistema em teste. O resultado desta execução, representado na forma de um veredicto, revela a conformidade do sistema com seus requisitos e especificações. Para explorar o potencial dos modelos gramaticais, este trabalho definiu uma maneira sistemática de gerar e executar massas de teste. Esta solução permitiu a programação de diferentes estratégias de teste. Ela também facilitou a adaptação dos testes a mudanças de requisitos e promoveu o reuso dos testes existentes. Como efeito colateral deste estudo, um processo de teste funcional foi desenvolvido e a arquitetura de apoio aqui introduzida pode ser reutilizada ou estendida por futuras soluções de teste funcional.
Software functional test is a challenge faced by developers for a long time. The growing complexity of computing systems turns this challenge even greater. Model-based testing is a trend pointed out by the academia and the industry as a possible solution to this matter. Inspired by this paradigm, this dissertation depicts a research made on the use of grammars as functional test models. Grammar models can capture concepts and behaviors of a system and its environment at a level of abstraction according to the test goal. They also can be applied to describe functional test cases and guide the execution of the generated test cases against a system under test. The result of this execution, represented as a verdict, reveals the system conformity with its requirements and specifications. In order to explore grammar models potential, this work defined a systematic way to generate and execute a mass of tests. This solution allowed the implementation of different test strategies. It also assisted test adjustment to requirements change and promoted existing tests reuse. As a side-effect of this study, a functional test process was developed and the supporting architecture introduced here may be reused or extended by future functional test solutions.
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Toostani, Iman Ghodrati. "Tinnitus : a neuro-functional model." reponame:Repositório Institucional da UFABC, 2013.

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Guo, Chuan. "The stochastic volatility Markov-functional model." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/91418/.

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In this thesis we study low-dimensional stochastic volatility interest rate models for pricing and hedging exotic derivatives. In particular we develop a stochastic volatility Markov-functional model. In order to implement the model numerically, we further propose a general algorithm by working with basis functions and conditional moments of the driving Markov process. Motivated by a data driven study, we choose a SABR type model as a driving process. With this choice we specify a pre-model and develop an approximation to evaluate conditional moments of the SABR driver which serve as building blocks for the practical algorithm. Having discussed how to set up a stochastic volatility Markov-functional model next we study the calibration of a LIBOR based version of the model with the SABR type driving process. We consider a link between separable SABR LIBOR market models and stochastic volatility LIBOR Markov-functional models. Based on the link we propose a calibration routine to feed in SABR marginals by calibrating to the market vanilla options. Moreover we choose the parameters of the SABR driver by fitting to the market correlation structure. We compare the stochastic volatility Markov-functional model developed in the thesis with one-dimensional (non-stochastic-volatility) swap Markov-functional models in terms of pricing and hedging Bermudan type products. By doing so we investigate effects of correlation structure, implied volatility smiles and the introduction of stochastic volatility on Bermudan type products. Finally we compare Quasi-Gaussian models with Markov-functional models in terms of specification and calibration. In particular we study Quasi-Gaussian models formulated in the Markov-functional model framework to make clear the relationship between the two models.
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Manrique, Tito. "Functional linear regression models : application to high-throughput plant phenotyping functional data." Thesis, Montpellier, 2016. http://www.theses.fr/2016MONTT264/document.

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L'Analyse des Données Fonctionnelles (ADF) est une branche de la statistique qui est de plus en plus utilisée dans de nombreux domaines scientifiques appliqués tels que l'expérimentation biologique, la finance, la physique, etc. Une raison à cela est l'utilisation des nouvelles technologies de collecte de données qui augmentent le nombre d'observations dans un intervalle de temps.Les jeux de données fonctionnelles sont des échantillons de réalisations de fonctions aléatoires qui sont des fonctions mesurables définies sur un espace de probabilité à valeurs dans un espace fonctionnel de dimension infinie.Parmi les nombreuses questions étudiées par l'ADF, la régression linéaire fonctionnelle est l'une des plus étudiées, aussi bien dans les applications que dans le développement méthodologique.L'objectif de cette thèse est l'étude de modèles de régression linéaire fonctionnels lorsque la covariable X et la réponse Y sont des fonctions aléatoires et les deux dépendent du temps. En particulier, nous abordons la question de l'influence de l'histoire d'une fonction aléatoire X sur la valeur actuelle d'une autre fonction aléatoire Y à un instant donné t.Pour ce faire, nous sommes surtout intéressés par trois modèles: le modèle fonctionnel de concurrence (Functional Concurrent Model: FCCM), le modèle fonctionnel de convolution (Functional Convolution Model: FCVM) et le modèle linéaire fonctionnel historique. En particulier pour le FCVM et FCCM nous avons proposé des estimateurs qui sont consistants, robustes et plus rapides à calculer par rapport à d'autres estimateurs déjà proposés dans la littérature.Notre méthode d'estimation dans le FCCM étend la méthode de régression Ridge développée dans le cas linéaire classique au cadre de données fonctionnelles. Nous avons montré la convergence en probabilité de cet estimateur, obtenu une vitesse de convergence et développé une méthode de choix optimal du paramètre de régularisation.Le FCVM permet d'étudier l'influence de l'histoire de X sur Y d'une manière simple par la convolution. Dans ce cas, nous utilisons la transformée de Fourier continue pour définir un estimateur du coefficient fonctionnel. Cet opérateur transforme le modèle de convolution en un FCCM associé dans le domaine des fréquences. La consistance et la vitesse de convergence de l'estimateur sont obtenues à partir du FCCM.Le FCVM peut être généralisé au modèle linéaire fonctionnel historique, qui est lui-même un cas particulier du modèle linéaire entièrement fonctionnel. Grâce à cela, nous avons utilisé l'estimateur de Karhunen-Loève du noyau historique. La question connexe de l'estimation de l'opérateur de covariance du bruit dans le modèle linéaire entièrement fonctionnel est également traitée. Finalement nous utilisons tous les modèles mentionnés ci-dessus pour étudier l'interaction entre le déficit de pression de vapeur (Vapour Pressure Deficit: VPD) et vitesse d'élongation foliaire (Leaf Elongation Rate: LER) courbes. Ce type de données est obtenu avec phénotypage végétal haut débit. L'étude est bien adaptée aux méthodes de l'ADF
Functional data analysis (FDA) is a statistical branch that is increasingly being used in many applied scientific fields such as biological experimentation, finance, physics, etc. A reason for this is the use of new data collection technologies that increase the number of observations during a time interval.Functional datasets are realization samples of some random functions which are measurable functions defined on some probability space with values in an infinite dimensional functional space.There are many questions that FDA studies, among which functional linear regression is one of the most studied, both in applications and in methodological development.The objective of this thesis is the study of functional linear regression models when both the covariate X and the response Y are random functions and both of them are time-dependent. In particular we want to address the question of how the history of a random function X influences the current value of another random function Y at any given time t.In order to do this we are mainly interested in three models: the functional concurrent model (FCCM), the functional convolution model (FCVM) and the historical functional linear model. In particular for the FCVM and FCCM we have proposed estimators which are consistent, robust and which are faster to compute compared to others already proposed in the literature.Our estimation method in the FCCM extends the Ridge Regression method developed in the classical linear case to the functional data framework. We prove the probability convergence of this estimator, obtain a rate of convergence and develop an optimal selection procedure of theregularization parameter.The FCVM allows to study the influence of the history of X on Y in a simple way through the convolution. In this case we use the continuous Fourier transform operator to define an estimator of the functional coefficient. This operator transforms the convolution model into a FCCM associated in the frequency domain. The consistency and rate of convergence of the estimator are derived from the FCCM.The FCVM can be generalized to the historical functional linear model, which is itself a particular case of the fully functional linear model. Thanks to this we have used the Karhunen–Loève estimator of the historical kernel. The related question about the estimation of the covariance operator of the noise in the fully functional linear model is also treated.Finally we use all the aforementioned models to study the interaction between Vapour Pressure Deficit (VPD) and Leaf Elongation Rate (LER) curves. This kind of data is obtained with high-throughput plant phenotyping platform and is well suited to be studied with FDA methods
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Ayaz, Muhammad. "Model-Based Diagnosis of Software Functional Dependencies." Thesis, Linköping University, Department of Computer and Information Science, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58580.

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Researchers have developed framework for diagnosis analysis that are called “Model Based Diagnosis Systems”. These systems are very general in scope, covers a wide range of malfunctions uncovering and identifying repair measures. This thesis is an effort to diagnose complex and lengthy static source code. Without executing source code discrepancies can only be identified by finding procedural dependencies.

With respect to modern programming languages, many software bugs arise due to logical erroneous calculations or miss handling of data structures. Modern Integrated Development Environments (IDE) like Visual Studio, J-Builder and Eclipse etc are strong enough to analyze and parse static text code to identify syntactical and type conversion errors. Some of IDE’s can automatically fix such kind of errors or provide different possible suggestions to developer.

In this thesis we have analyzed and extracted functional dependencies of source code. This extracted information can increase programmer’s understanding about code when they are extremely large or complex. By modeling this information into a model system, reduces time to debug the code in case of any failure. This increases productivity in terms of software development and in debugger skills as well. The main contribution of this thesis is the use of model based diagnosis techniques on software functional dependency graphs and charts.

Keywords: Model Based Diagnosis Systems, Integrated Development Environments, Procedural Dependencies, Erroneous calculations, Call graphs, Directed graph markup language.

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9

Cherukuri, Vijaya Krishna, and Piyush Gupta. "Model Based Testing for Non-Functional Requirements." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-9851.

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Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.Model Based Testing (MBT) is a new-age test automation technique traditionally used for Functional Black-Box Testing. Its capability of generating test cases by using model developed from the analysis of the abstract behavior of the System under Test is gaining popularity. Many commercial and open source MBT tools are available currently in market. But each one has its own specific way of modeling and test case generation mechanism that is suitable for varied types of systems. Ericsson, a telecommunication equipment provider company, is currently adapting Model Based Testing in some of its divisions for functional testing. Those divisions haven’t yet attempted adapting Model Based Testing for non-functional testing in a full-pledged manner. A comparative study between various MBT tools will help one of the Ericsson’s testing divisions to select the best tool for adapting to its existing test environment. This also helps in improving the quality of testing while reducing cost, time and effort. This thesis work helps Ericsson testing division to select such an effective MBT tool. Based on aspects such as functionality, flexibility, adaptability, performance etc., a comparative study is carried out on various available MBT tools and a few were selected among them: Qtronic, ModelJUnit and Elvior Motes.

This thesis also helps to understand the usability of the selected tools for modeling of non-functional requirements using a new method. A brief idea of modeling the non-functional requirements is suggested in this thesis. A System under Test was identified and its functional behavior was modeled along with the non functional requirements in Qtronic and ModelJUnit. An experimental analysis, backed by observations of using the new proposed method indicates that the method is efficient enough to carry out modeling non-functional requirements along with modeling of functional requirements by identifying the appropriate approach.

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10

Correia, Fagner Cintra [UNESP]. "The standard model effective field theory: integrating UV models via functional methods." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/151703.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
O Modelo Padrão Efetivo é apresentado como um método consistente de parametrizar Física Nova. Os conceitos de Matching e Power Counting são tratados, assim como a Expansão em Derivadas Covariantes introduzida como alternativa à construção do conjunto de operadores efetivos resultante de um modelo UV particular. A técnica de integração funcional é aplicada em casos que incluem o MP com Tripleto de Escalares e diferentes setores do modelo 3-3-1 na presença de Leptons pesados. Finalmente, o coeficiente de Wilson de dimensão-6 gerado a partir da integração de um quark-J pesado é limitado pelos valores recentes do parâmetro obliquo Y.
It will be presented the principles behind the use of the Standard Model Effective Field Theory as a consistent method to parametrize New Physics. The concepts of Matching and Power Counting are covered and a Covariant Derivative Expansion introduced to the construction of the operators set coming from the particular integrated UV model. The technique is applied in examples including the SM with a new Scalar Triplet and for different sectors of the 3-3-1 model in the presence of Heavy Leptons. Finally, the Wilson coefficient for a dimension-6 operator generated from the integration of a heavy J-quark is then compared with the measurements of the oblique Y parameter.
CNPq: 142492/2013-2
CAPES: 88881.132498/2016-01
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Books on the topic "Functional model"

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Schwartzberg, Sharan L. Groups: Applying the functional group model. Philadelphia, PA: F.A. Davis Co., 2008.

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Fisher, Gary E. A functional model for fourth generation languages. Washington, D.C: National Bureau of Standards, 1986.

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Fisher, Gary E. A functional model for fourth generation languages. Gaithersburg, MD: U.S. Dept. of Commerce, National Bureau of Standards, 1986.

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Michelle, Alvarez, ed. Functional behavioral assessment: A three-tiered prevention model. New York, NY: Oxford University Press, 2011.

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Kathryn, Levit, ed. Functional movement reeducation: A contemporary model for stroke rehabilitation. New York: Churchill Livingstone, 1997.

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Home care planning based on DRGs: Functional health pattern model. Bethany, CT: Co-published by Fleschner Pub. Co., 1986.

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Mathisen, Jan. Analyses of experiments and a functional model for ship rolling. Uxbridge: Brunel University, 1988.

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Krasnov, Boris R. Functional and evolutionary ecology of fleas: A model for ecological parasitology. New York: Cambridge University Press, 2008.

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Shpitz, Baruch. An improved SCID mouse model for adoptive transfer of functional human lymphocytes. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1995.

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McDonald, Bill. An analysis of nonlinearities, heteroskedasticity, and functional form in the market model. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1987.

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Book chapters on the topic "Functional model"

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Horváth, Lajos, and Piotr Kokoszka. "Functional autoregressive model." In Springer Series in Statistics, 235–52. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3655-3_13.

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Gray, Peter M. D. "Functional Data Model." In Encyclopedia of Database Systems, 1193–98. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_173.

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Gray, Peter M. D. "Functional Data Model." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_173-2.

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Gray, Peter M. D. "Functional Data Model." In Encyclopedia of Database Systems, 1548–53. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_173.

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Castillo, Enrique, Angel Cobo, José Manuel Gutiérrez, and Rosa Eva Pruneda. "Model Selection." In Functional Networks with Applications, 133–46. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5601-5_5.

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Vogelsang, Andreas, Sebastian Eder, Martin Feilkas, and Daniel Ratiu. "Functional Viewpoint." In Model-Based Engineering of Embedded Systems, 69–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34614-9_5.

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Makhankov, Vladmir G., Yurii P. Rybakov, and Valerii I. Sanyuk. "Absolute Minimum of the Energy Functional." In The Skyrme Model, 80–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84670-0_6.

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Chan, N. N., and Tak K. Mak. "The circular functional model." In Institute of Mathematical Statistics Lecture Notes - Monograph Series, 143–48. Hayward, CA: Institute of Mathematical Statistics, 1994. http://dx.doi.org/10.1214/lnms/1215463792.

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Debenham, John. "Constructing the functional model." In Lecture Notes in Computer Science, 48–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0022017.

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Mittra, Swapnajit. "Writing Bus Functional Model." In Principles of Verilog PLI, 227–56. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5161-4_6.

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Conference papers on the topic "Functional model"

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Drave, Imke, Bernhard Rumpe, Andreas Wortmann, Joerg Berroth, Gregor Hoepfner, Georg Jacobs, Kathrin Spuetz, Thilo Zerwas, Christian Guist, and Jens Kohl. "Modeling mechanical functional architectures in SysML." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3365438.3410938.

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Shadangi, Keshab Chandra, and G. C. Rout. "A model study of ultrasonic attenuation in heavy fermion systems in Kondo-lattice model." In FUNCTIONAL MATERIALS: Proceedings of the International Workshop on Functional Materials (IWFM-2011). AIP, 2012. http://dx.doi.org/10.1063/1.4736905.

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Nazaruka, Erika, and Jānis Osis. "The Topological Functioning Model as a Reference Model for Software Functional and Non-functional Requirements." In Special Session on Model-Driven Innovations for Software Engineering. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006811204670477.

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DeVries, Byron, and Betty Cheng. "Goal-Based Modeling and Analysis of Non-Functional Requirements." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2019. http://dx.doi.org/10.1109/models.2019.00010.

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Panda, S. K., and G. C. Rout. "A model study of CDW and SDW mixed mode exciton peak in Raman scattering of high-Tc superconductors." In FUNCTIONAL MATERIALS: Proceedings of the International Workshop on Functional Materials (IWFM-2011). AIP, 2012. http://dx.doi.org/10.1063/1.4736917.

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Kundert, Ken, and Henry Chang. "Model-based functional verification." In the 47th Design Automation Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837380.

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Meyers, Bart, Klaas Gadeyne, Bentley Oakes, Matthias Bernaerts, Hans Vangheluwe, and Joachim Denil. "A Model-Driven Engineering Framework to Support the Functional Safety Process." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00094.

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Shimomura, Yoshiki, Hideaki Takeda, Masaharu Yoshioka, Yasushi Umeda, and Tetsuo Tomiyama. "Representation of Design Object Based on the Functional Evolution Process Model." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0170.

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Abstract One of the crucial issues for developing computer aided conceptual design system is representation of functions which represent designers’ intention. Representing functions is also crucial not only for representing design objects but also for describing conceptual design processes, in which designers operate mainly functional concepts. Namely, function is a key concept to integrate object modeling and process modeling in design. In this paper, first we extend the FBS (Function-Behavior-State) diagram, which we have already proposed, by introducing three additional concepts for representing a function; namely, function body that represents designers’ intention directly, function modifier that qualifies a function body, and objective entity on which the function body occurs. This extended FBS diagram, called FBS/m (modifier) diagram, enables us to represent designers’ intention more precisely than the original FBS diagram. Then, we propose an FEP (Functional Evolution Process) model to represent design processes. In the FEP model, the FBS model of a design object is evolved through three steps, i.e., functional actualization, functional evaluation and functional operation. Functional actualization depicts a process to obtain physical descriptions from functional description. Functional evaluation is a process to measure realizability of functions of the design object. Functional operation is a process to operate functions to improve the design. Based on the FEP model, we analyze some actual design processes, and show that the FEP model is suitable for representing designers’ intention along with design processes.
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Miller, Heather, Philipp Haller, Normen Müller, and Jocelyn Boullier. "Function passing: a model for typed, distributed functional programming." In SPLASH '16: Conference on Systems, Programming, Languages, and Applications: Software for Humanity. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2986012.2986014.

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Liu, Xuyuan, Kwok-Leung Tsui, and Wei Chen. "Regression Modeling for Computer Model Validation With Functional Responses." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49662.

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Statistical analysis of functional responses based on functional data from both computer and physical experiments has gained increasing attention due to the dynamic nature of many engineering systems. However, the complexity and huge amount of functional data bring many difficulties to apply traditional or existing methodologies. The objective of the present study is twofold: (1) prediction of functional responses based on functional data and (2) prediction of bias function for validation of a computer model that predicts functional responses. In this paper, we first develop a functional regression model with linear basis functions to analyze functional data. Then combining data from both computer and physical experiments, we use the functional analysis modeling to predict the bias function which is crucial for validating a computer model. The proposed method, following the classical nonparametric regression framework, uses a single step procedure which is easily implemented and computationally efficient. Through an application example of motor engine analysis to predict acceleration performance and gear shift events, we demonstrate our approach and compare it to using the Gaussian process modeling approach.
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Reports on the topic "Functional model"

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Fisher, Gary E. A functional model for fourth generation languages. Gaithersburg, MD: National Bureau of Standards, 1986. http://dx.doi.org/10.6028/nbs.sp.500-138.

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Belloch, Guy, and John Greiner. A Parallel Complexity Model for Functional Languages. Fort Belvoir, VA: Defense Technical Information Center, October 1994. http://dx.doi.org/10.21236/ada288589.

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Schwarz, Kurt. Automated Best Value Model Decision Support System. Functional Description. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada277875.

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Tevis, J., J. Hirahara, B. Thomas, and M. Mendez. Lawrence Livermore National Security Cost Model Functional Management Assessment. Office of Scientific and Technical Information (OSTI), June 2008. http://dx.doi.org/10.2172/945520.

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INSTITUTE FOR DEFENSE ANALYSES ALEXANDRIA VA. Functional Economic Analysis Model (Version 2.3) (User's Manual). Revision. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/adb171442.

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Frazier, Thomas P., John J. Cloos, Matthew S. Goldberg, Alec W. Salerno, and Kathryn L. Wilson. A User's Guide for the Functional Economic Analysis Model (Version 2.2A). Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada256230.

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Reich, Peter. Global land model development: time to shift from a plant functional type to a plant functional trait approach (Final Report). Office of Scientific and Technical Information (OSTI), August 2018. http://dx.doi.org/10.2172/1512943.

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Hund, Lauren, and Justin Brown. Statistically Rigorous Uncertainty Quantification for Physical Parameter Model Calibration with Functional Output. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1562417.

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Dunne, Lucy E., and Cory Simon. Out of This World: A University Partnership Model for Functional Clothing Design. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-887.

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CALS INDUSTRY STEERING GROUP WASHINGTON DC. CALS: White Paper Report on Functional Economic Analysis and the FEA Model (FEAM). Fort Belvoir, VA: Defense Technical Information Center, November 1993. http://dx.doi.org/10.21236/ada326291.

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