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Integrating Performance and Reliability Analysis in a Non-Functional MDA Framework [chapter]

Vittorio Cortellessa, Antinisca Di Marco, Paola Inverardi
2007 Lecture Notes in Computer Science  
models for non-functional analysis.  ...  We consider the Non-Functional MDA framework (NFMDA) that, beside the typical MDA model transformations for code generation, embeds new types of model transformations that allow the generation of quantitative  ...  Such framework, called Non-Functional MDA (NFMDA), embeds, beside the typical MDA models and transformations, new models and transformations related to non-functional validation activities.  ... 
doi:10.1007/978-3-540-71289-3_6 fatcat:po2wd5urc5dxreodpwxxn2gsa4

Choice of transformation for modelling non-linear continuous biomarkers

Deborah D Stocken, Lucinda J Billingham, Philip J Johnson, Nick Freemantle
2011 Trials  
The fitted functions generated by splines and fractional polynomials were similar resulting in comparable models.  ...  Multivariable fractional polynomial transformations are an alternative approach to restricted cubic spline transformations for multivariable model building of continuous biomarkers with non-linear relationships  ...  The fitted functions generated by splines and fractional polynomials were similar resulting in comparable models.  ... 
doi:10.1186/1745-6215-12-s1-a20 pmcid:PMC3287734 fatcat:3k6unlpfejd3fd2usurywofx5y

Model Transformations for Performability Analysis of Service Configurations [chapter]

László Gönczy, Zsolt Déri, Dániel Varró
2009 Lecture Notes in Computer Science  
These non-functional requirements are frequently captured in service-level agreements between service requesters and providers.  ...  In the paper, we present a model-driven approach for the precise analysis of service configurations with reliable messaging.  ...  The input of the transformation chain is a UML model using UML4SOa for modeling services and non-functional parameters of messaging.  ... 
doi:10.1007/978-3-642-01648-6_17 fatcat:ykpbixze7zddnozd6443ednzli

Method for constructing solutions of linear ordinary differential equations with constant coefficients

V. V. Karachik
2012 Computational Mathematics and Mathematical Physics  
In particular, linear differential equation models with constant coeffi cients are often used mathematical models in the quantitative analysis of cases in management science research.  ...  In practice, the particular solution of linear differential equation model with constant coeffi cients often been found by Laplace transformation.  ...  The core of quantitative analysis is to build a corresponding mathematical model (Jiang, 1993 ). Differential equation model is a widely used mathematical model.  ... 
doi:10.1134/s0965542512020108 fatcat:53wwcc5mtfddpdjatn2e5alfte

Bayesian multivariate hierarchical transformation models for ROC analysis

A. James O'Malley, Kelly H. Zou
2005 Statistics in Medicine  
Two special features of this model are that it incorporates non-linear monotone transformations of the outcomes and that multiple correlated outcomes may be analysed.  ...  In the second problem, the composite test is estimated using discriminant function analysis and compared to the test derived from logistic regression analysis where the gold standard is a binary outcome  ...  In ROC curve analysis ψ typically a non-diagonal matrix. The above model incorporates random effects within the mean, variance, and transformation components of the model.  ... 
doi:10.1002/sim.2187 pmid:16217836 pmcid:PMC1540405 fatcat:2nli2rrg6zaw5ncwjo7ohhosla

Data-based identifiability analysis of non-linear dynamical models

S. Hengl, C. Kreutz, J. Timmer, T. Maiwald
2007 Computer applications in the biosciences : CABIOS  
Non-identifiability manifests itself in functionally related parameters, which are difficult to detect.  ...  The quality of data at disposal is included in our approach, i.e. the non-linear model is fitted to data and estimated parameter values are investigated with respect to functional relations.  ...  ACKNOWLEDGEMENTS The authors thank Martin Peifer for his support in the analytical calculations, as well as Verena Becker, Marcel Schilling, and Ursula Klingmu¨ller from the German Cancer  ... 
doi:10.1093/bioinformatics/btm382 pmid:17660526 fatcat:y4e3woimh5hdxgtlpt2l4qusiy

Non-functional properties in the model-driven development of service-oriented systems

Stephen Gilmore, László Gönczy, Nora Koch, Philip Mayer, Mirco Tribastone, Dániel Varró
2010 Journal of Software and Systems Modeling  
In this paper, we discuss modeling of non-functional aspects of service-oriented systems, and the use of these models for analysis and deployment. Our contribution in this paper is threefold.  ...  In this context, non-functional aspects play an important role and should be Communicated by analyzed and modeled as early as possible in the development cycle.  ...  transformation techniques for model analysis and deployment.  ... 
doi:10.1007/s10270-010-0155-y fatcat:jcda2gq5x5cyxcl7nhruffysjy

Model-Driven Development for Non-functional Properties: Refinement Through Model Transformation [chapter]

Simone Röttger, Steffen Zschaler
2004 Lecture Notes in Computer Science  
Requiring the measurement designer to define transformations between context models and applying them to measurement definitions, enables us to provide tool support for refinement of non-functional constraints  ...  The former provides a library of measurement definitions which is later used by the latter to annotate functional application models with non-functional property specifications.  ...  Acknowledgements We want to thank everybody in the COMQUAD project, Dr. Thomas Santen and the anonymous reviewers for their helpful comments on different versions of this paper.  ... 
doi:10.1007/978-3-540-30187-5_20 fatcat:7rzmr7ykunhareug2m2g6rupn4

Transformation-based generalized spatial regression using the spmoran package: Case study examples [article]

Daisuke Murakami
2021 arXiv   pre-print
Section 2 introduces the model. The subsequent sections demonstrate applications of the model for disease mapping, spatial prediction and uncertainty modeling, and hedonic analysis.  ...  This study presents application examples of generalized spatial regression modeling for count data and continuous non-Gaussian data using the spmoran package (version 0.2.2 onward).  ...  (log-Gaussian approx.) 1.3.Coding for specifying the transformation In the spmoran package, the transformation function (•) in Eq.  ... 
arXiv:2109.06383v1 fatcat:gykg6o5vxbby5pz43lq4taz2ki

Tool Support for Refinement of Non-functional Specifications

Simone Röttger, Steffen Zschaler
2006 Journal of Software and Systems Modeling  
A measurement in our terminology is a non-functional dimension that can be constrained to describe a non-functional property.  ...  In previous publications we have shown how we can use so-called context models to make the specification of non-functional measurements independent of their application in concrete system specifications  ...  Acknowledgements We want to thank everybody in the COMQUAD project, Dr. Thomas Santen and the anonymous reviewers for their helpful comments on different versions of this paper.  ... 
doi:10.1007/s10270-006-0024-x fatcat:jq7ntgcoovfnxmu6r5lskioxze

Non-compartment model to compartment model pharmacokinetics transformation meta-analysis – a multivariate nonlinear mixed model

Zhiping Wang, Seongho Kim, Sara K Quinney, Jihao Zhou, Lang Li
2010 BMC Systems Biology  
Conclusions: This non-compartment model PK parameter transformation into compartment model meta-analysis approach possesses valid statistical inference.  ...  This paper proposed an important approach to transform published non-compartment model pharmacokinetics (PK) parameters into compartment model PK parameters.  ...  Model ( 11 ) is a meta-analysis approach, in which sample mean non-compartment model PK parameters are formulated.  ... 
doi:10.1186/1752-0509-4-s1-s8 pmid:20522258 pmcid:PMC2880414 fatcat:ktvgumoyfrfnzbbcyeudlosnum

Separating Reflections from Images Using Kernel Independent Component Analysis

M. Yamazaki, Yen-Wei Chen, Gang Xu
2006 18th International Conference on Pattern Recognition (ICPR'06)  
Since the image observed through digital camera is non-linearly transformed by gamma correction etc, it may cause error in image processing for image analysis and measurement.  ...  In this paper, we remove the reflections by using Kernel Independent Component Analysis (KICA) and show that KICA is more effective than ICA even if the observed image is non-linearly transformed by camera  ...  But this non-linear transformation may cause failures in image processing for image analysis and measurement.  ... 
doi:10.1109/icpr.2006.1045 dblp:conf/icpr/YamazakiCX06 fatcat:4qiy2sidnbdkhl5begybwtk6ym

Traditional allometric analysis fails to provide a valid predictive model for mammalian metabolic rates

G. C. Packard, G. F. Birchard
2008 Journal of Experimental Biology  
The exponent was estimated in virtually every instance, however, by fitting a straight line to logarithmic transformations of data and by then re-expressing the resulting equation in the arithmetic scale  ...  The field of biological allometry was energized by the publication in 1997 of a theoretical model purporting to explain 3/4-power scaling of metabolic rate with body mass in mammals.  ...  The function fitted by non-linear regression is a better descriptor over the entire range in body size, even though it is more biased than the function from back-transformation in the mid-range for body  ... 
doi:10.1242/jeb.023317 pmid:18978222 fatcat:pqtrepg63vfplh6r2sxtd37txi

From UML to Petri Nets for non functional Property Verification

F. Mallet, M-A. Peraldi-Frati, C. Andre
2006 2006 International Symposium on Industrial Embedded Systems  
and Hierarchical Time Petri Nets, 3) the transformation from the specification model to the analysis model.  ...  We consider two technical domains: the UML domain for the definition of the model elements, and a non functional property analysis domain, external to UML, used for formal verification.  ...  Conclusion This paper has shown a way to use UML and model transformations to derive an analysis model from a UML functional description.  ... 
doi:10.1109/ies.2006.357475 dblp:conf/sies/MalletPA06 fatcat:xiysflhdsrbbhm3mlbknvl5aam

A Methodical Study for Time-Frequency Analysis Model with Experimental Case Study on Chirp Signal

Qasem Abu Al-Haija, Electrical and Computer Engineering Department, Tennessee State University
2020 International Journal of Engineering and Manufacturing  
In this paper, we are reporting on the comprehensive model design for time-frequency analysis system using Short-Time Fourier Transform (STFT) and Wigner-Ville Distribution (WVD) methods.  ...  Also, the applied techniques provide an adequate distribution of time-frequency analysis only if they used with a non-stationary signal such as Chirp signal.  ...  The rectangular windowed discrete-time WD of a signal x(n) is defined by: Model Development Methodology In this paper, we developed a time-frequency analysis models to analyse the time-frequency distribution  ... 
doi:10.5815/ijem.2020.03.01 fatcat:i4tikapamvhv5ij7aev44ybypi
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