Search results for "component"
showing 10 items of 1682 documents
Modelling biological and chemically induced precipitation of calcium phosphate in enhanced biological phosphorus removal systems
2011
The biologically induced precipitation processes can be important in wastewater treatment, in particular treating raw wastewater with high calcium concentration combined with Enhanced Biological Phosphorus Removal. Currently, there is little information and experience in modelling jointly biological and chemical processes. This paper presents a calcium phosphate precipitation model and its inclusion in the Activated Sludge Model No 2d (ASM2d). The proposed precipitation model considers that aqueous phase reactions quickly achieve the chemical equilibrium and that aqueous-solid change is kinetically governed. The model was calibrated using data from four experiments in a Sequencing Batch Rea…
A Generalization of Girod's Bidirectional Decoding Method to Codes with a Finite Deciphering Delay
2012
Girod’s encoding method has been introduced in order to efficiently decode from both directions messages encoded by using finite prefix codes. In the present paper, we generalize this method to finite codes with a finite deciphering delay. In particular, we show that our decoding algorithm can be realized by a deterministic finite transducer. We also investigate some properties of the underlying unlabeled graph.
Promoting Wellbeing in Pregnancy: A Multi-component Positive Psychology and Mindfulness-Based Mobile App
2019
Pregnancy involves important changes for women of all ages: it is a time of physical and psychological change. Women may experience anxiety and negative emotions, which can negatively influence their wellbeing and make difficult their adaptation to the new role of mothers. Furthermore, poor mental well-being and difficulties in emotion regulation can negatively affect obstetric outcomes, development of the child and neonatal adaptation. The aim of this work is to present a new self-applied multi-component positive psychology- and mindfulness-based intervention (MPPMI) supported by a mobile App addressed to pregnant women. The core of this MPPMI is to combine traditional positive psychology …
Comparison between Different Dynamic Reconfigurations of Electrical Connections for partially shaded PV Modules
2018
This paper presents an economical investigation on the benefits related to the employment of reconfiguration systems for photovoltaic plants. More in detail, different structures of reconfigurators are proposed and, in order to evaluate the economical convenience on their installation, the Net Present Value is used as a validation element. Significant results are carried out from the proposed analysis.
PRISMA: towards quality, aspect oriented and dynamic software architectures
2003
The development of software systems must be done using platforms that allow the description of quality, complex, distributed, dynamic and reusable architectural models. We present in this paper PRISMA, an architectural modelling approach based on aspects and components that uses a component definition language (components, connectors and systems) to define architectural types at a high abstraction level and a configuration language to design the architecture of software systems. The component definition language increases reuse allowing importation of COTS and reduces complexity by integrating two modern software development approaches: component-based software development and aspect-orient…
Et si nous arrêtions d'utiliser systématiquement l’analyse en composantes principales (PCA)? Efficacité des méthodes d’extraction de facteurs dans l’…
2014
Fabrigar et al. (1999) et, en suite Worthington et Whittaker (2006) décrivaient les limites de l’utilisation de la PCA comme méthode d’extraction de facteurs dans les procédures d’EFA. Les auteurs soulignent que l’abus de cette pratique s’explique probablement par le fait que cette méthode est présentée comme premier choix dans la plupart des logiciels d’analyse des données. L’objectif de ce travail est de montrer qu’il y a encore un excès d’utilisation dans la pratique de la PCA et, de l’autre, de donner des indications de base pour le choix d’une méthode correcte pour l’EFA. Ce travail recense les principaux travaux de recherche parus, entre 2011 et 2013, dans des revues à facteur d'impac…
Minimal learning machine in hyperspectral imaging classification
2020
A hyperspectral (HS) image is typically a stack of frames, where each frame represents the intensity of a different wavelength of light. Each spatial pixel has a spectrum. In the classification of the HS image, each spectrum is classified pixel-by-pixel. In some of the real-time applications, the amount of the HS image data causes performance challenges. Those issues relate to the platforms (e.g. drones) payload restrictions, the issues of the available energy and to the complexity of the machine learning models. In this study, we introduce the minimal learning machine (MLM) as a computationally cheap training and classification machine learning method for the hyperspectral imaging classificatio…
Multivariate denoising methods combining wavelets and principal component analysis for mass spectrometry data
2010
The identification of new diagnostic or prognostic biomarkers is one of the main aims of clinical cancer research. In recent years, there has been a growing interest in using mass spectrometry for the detection of such biomarkers. The MS signal resulting from MALDI-TOF measurements is contaminated by different sources of technical variations that can be removed by a prior pre-processing step. In particular, denoising makes it possible to remove the random noise contained in the signal. Wavelet methodology associated with thresholding is usually used for this purpose. In this study, we adapted two multivariate denoising methods that combine wavelets and PCA to MS data. The objective was to o…
Fruit physical, chemical and aromatic attributes of early, intermediate and late apricot cultivars.
2010
BACKGROUND: In order to reach good fruit quality, apricots require a balance of sugars and acids as well as a strong apricot aroma. In this study, fruit quality of early, intermediate and late apricot cultivars was evaluated by measuring physical, chemical and olfactory attributes. Multivariate analysis of quality and aroma attributes was used to identify groups of similar cultivars and association with ripening season. RESULTS: Physical, chemical and aromatic attributes showed great variation amongcultivars but no relation to ripening season. Aromatic profiles (34 volatiles) of fruit tissues indicated qualitative and quantitative differences among cultivars. Ninfa and Mandorlon were riches…
Metabolic flux understanding of Pichia pastoris grown on heterogenous culture media
2014
[EN] Within the emergent field of Systems Biology, mathematical models obtained from physical chemical laws (the so-called first principles-based models) of microbial systems are employed to discern the principles that govern cellular behaviour and achieve a predictive understanding of cellular functions. The reliance on this biochemical knowledge has the drawback that some of the assumptions (specific kinetics of the reaction system, unknown dynamics and values of the model parameters) may not be valid for all the metabolic possible states of the network. In this uncertainty context, the combined use of fundamental knowledge and data measured in the fermentation that describe the behaviour…