Encontrados 10 documentos, a visualizar página 1 de 1
A theoretical model for transdermal drug delivery from emulsions and its depend...
Bernardo, Fernando P.; Saraiva, Pedro M.This article presents a theoretical model of transdermal drug delivery from an emulsion-type vehicle that addresses the vehicle heterogeneity and incorporates the prediction of drug transport parameters as function of the vehicle composition. The basic mass transfer model considers interfacial and diffusion resistances within the emulsion and partition/diffusion phenomena across two skin compartments in series....
Multiscale statistical process control using wavelet packets
Reis, Marco S.; Saraiva, Pedro M.; Bakshi, Bhavik R.An approach is presented for conducting multiscale statistical process control (MSSPC), based on a library of basis functions provided by wavelet packets. The proposed approach explores the improved ability of wavelet packets in extracting features with arbitrary locations, and having different localizations in the time-frequency domain, in order to improve the detection performances achieved with wavelet-based...
A semi-mechanistic model building framework based on selective and localized mo...
Lima, Pedro V.; Saraiva, Pedro M.In the core of many process systems engineering tasks, like design, control, optimization and fault diagnosis, a mathematical model of the underlying plant plays a key role. Such models are so important that extensive studies are available, recommending different modeling techniques to be adopted for specific processes or goals. It is usual and practical to split modeling techniques under two main groups: mecha...
Heteroscedastic latent variable modelling with applications to multivariate sta...
Reis, Marco S.; Saraiva, Pedro M.We present an approach for conducting multivariate statistical process control (MSPC) in noisy environments, i.e., when the signal to noise ratio is low, and, furthermore, noise standard deviation (uncertainty) affecting each collected value can vary over time, and is assumingly known. This approach is based upon a latent variable model structure, HLV (standing for heteroscedastic latent variable model), that e...
Multiscale statistical process control with multiresolution data
Reis, Marco S.; Saraiva, Pedro M.An approach is presented for conducting multiscale statistical process control that adequately integrates data at different resolutions (multiresolution data), called MR-MSSPC. Its general structure is based on Bakshi's MSSPC framework designed to handle data at a single resolution. Significant modifications were introduced in order to process multiresolution information. The main MR-MSSPC features are presente...
Paper superficial waviness: Conception and implementation of an industrial stat...
Costa, Raquel; Angélico, Dina; Reis, Marco S.; Ataíde, José M.; Saraiva, Pedro M.The development of proper measurement methodologies for product evaluation is a critical issue to papermakers since their customers are increasingly demanding in regard to new product development and product quality. ; http://www.sciencedirect.com/science/article/B6TF4-4FNTHB2-2/1/b6e1467b8beaf2a8df37e6239ed943dd
Integration of data uncertainty in linear regression and process optimization
Reis, Marco S.; Saraiva, Pedro M.Data uncertainties provide important information that should be taken into account along with the actual data. In fact, with the development of measurement instrumentation methods and metrology, one is very often able to rigorously specify the uncertainty associated with each measured value. The use of this piece of information, together with raw measurements, should - in principle - lead to more sound ways of ...
A comparative study of linear regression methods in noisy environments
Reis, Marco S.; Saraiva, Pedro M.With the development of measurement instrumentation methods and metrology, one is very often able to rigorously specify the uncertainty associated with each measured value (e.g. concentrations, spectra, process sensors). The use of this information, along with the corresponding raw measurements, should, in principle, lead to more sound ways of performing data analysis, since the quality of data can be explicitl...
Quality costs and robustness criteria in chemical process design optimization
Bernardo, Fernando P.; Pistikopoulos, Efstratios N.; Saraiva, Pedro M.The identification and incorporation of quality costs and robustness criteria is becoming a critical issue while addressing chemical process design problems under uncertainty. This article presents a systematic design framework that includes Taguchi loss functions and other robustness criteria within a single-level stochastic optimization formulation, with expected values in the presence of uncertainty being es...
Robust optimization framework for process parameter and tolerance design
Bernardo, Fernando P.; Saraiva, Pedro M.This article introduces a framework for including different uncertainties at the chemical plant design stage. Through an integrated robust optimization approach and problem formulation, equipment, operating, control, and quality costs are simultaneously taken into account, leading to system, parameter, and tolerance design. Rather than using single pointwise solutions in the decision space, operating windows le...
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