Estudo de caso do conforto térmico de dois modelos construtivos em madeira: wood frame e log home

O presente trabalho consiste em demonstrar valores referentes ao conforto ambiental de dois modelos construtivos, sendo o primeiro um edifício já executado e o outro em fase de implantação, ambos no Campus Experimental de Itapeva, aplicando alguns conceitos em habitação mais sustentáveis de madeira na região de Itapeva, estado de São Paulo, Brasil. A edificação construída sedia duas salas de aula a partir da tipologia construtiva wood frame, constituída basicamente de paredes autoportantes compostas de ossatura de madeira tratada de pinus.sp, chapas estruturais em OSB, manta de isolamento térmico/acústico e fechamento interno e externo, respectivamente em gesso e sidding (lambris de madeira). A habitação em fase de início de implantação foi idealizada a partir da tipologia construtiva log-home, e atenderá a necessidade de espaço físico para abrigar o Centro Acadêmico e a empresa-júnior “PROMAD”, ambos do curso de Engenharia Industrial Madeireira do Campus Experimental da UNESP/Itapeva. Esta construção foi elaborada a partir de técnicas de baixo impacto ambiental, levando em consideração os resultados de análise térmica obtidos na edificação anterior. Em ambos modelos construtivos foram empregados recursos renováveis abundantes na região, como a madeira de reflorestamento de Pinus e de Eucalipto. Foi acrescentado ainda ao segundo modelo a utilização de resíduos industriais lignocelulósicos, como rolete de laminação e outros materiais locais disponíveis. A metodologia básica empregada para a obtenção de dados sobre o conforto térmico em relação as edificações foi, para o primeiro caso, a coleta de dados de temperatura e umidade utilizando um termo-higrômetro, a sistematização e análise de dados reais obtidos no interior da edificação. No segundo caso, o dimensionamento do conforto térmico... (Resumo completo, clicar acesso eletrônico abaixo)

Development of a simple method for determination of NO2 in air using digital scanner images

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

THE LOG-BURR XII REGRESSION MODEL FOR GROUPED SURVIVAL DATA

The log-Burr XII regression model for grouped survival data is evaluated in the presence of many ties. The methodology for grouped survival data is based on life tables, where the times are grouped in k intervals, and we fit discrete lifetime regression models to the data. The model parameters are estimated by maximum likelihood and jackknife methods. To detect influential observations in the proposed model, diagnostic measures based on case deletion, so-called global influence, and influence measures based on small perturbations in the data or in the model, referred to as local influence, are used. In addition to these measures, the total local influence and influential estimates are also used. We conduct Monte Carlo simulation studies to assess the finite sample behavior of the maximum likelihood estimators of the proposed model for grouped survival. A real data set is analyzed using a regression model for grouped data.

A log-Birnbaum-Saunders regression model with asymmetric errors

This paper introduces a skewed log-Birnbaum-Saunders regression model based on the skewed sinh-normal distribution proposed by Leiva et al. [A skewed sinh-normal distribution and its properties and application to air pollution, Comm. Statist. Theory Methods 39 (2010), pp. 426-443]. Some influence methods, such as the local influence and generalized leverage, are presented. Additionally, we derived the normal curvatures of local influence under some perturbation schemes. An empirical application to a real data set is presented in order to illustrate the usefulness of the proposed model.

Application of the log-conformation tensor to three-dimensional time-dependent free surface flows

The numerical simulation of flows of highly elastic fluids has been the subject of intense research over the past decades with important industrial applications. Therefore, many efforts have been made to improve the convergence capabilities of the numerical methods employed to simulate viscoelastic fluid flows. An important contribution for the solution of the High-Weissenberg Number Problem has been presented by Fattal and Kupferman [J. Non-Newton. Fluid. Mech. 123 (2004) 281-285] who developed the matrix-logarithm of the conformation tensor technique, henceforth called log-conformation tensor. Its advantage is a better approximation of the large growth of the stress tensor that occur in some regions of the flow and it is doubly beneficial in that it ensures physically correct stress fields, allowing converged computations at high Weissenberg number flows. In this work we investigate the application of the log-conformation tensor to three-dimensional unsteady free surface flows. The log-conformation tensor formulation was applied to solve the Upper-Convected Maxwell (UCM) constitutive equation while the momentum equation was solved using a finite difference Marker-and-Cell type method. The resulting developed code is validated by comparing the log-conformation results with the analytic solution for fully developed pipe flows. To illustrate the stability of the log-conformation tensor approach in solving three-dimensional free surface flows, results from the simulation of the extrudate swell and jet buckling phenomena of UCM fluids at high Weissenberg numbers are presented. (C) 2012 Elsevier B.V. All rights reserved.

The log-exponentiated generalized gamma regression model for censored data

For the first time, we introduce a generalized form of the exponentiated generalized gamma distribution [Cordeiro et al. The exponentiated generalized gamma distribution with application to lifetime data, J. Statist. Comput. Simul. 81 (2011), pp. 827-842.] that is the baseline for the log-exponentiated generalized gamma regression model. The new distribution can accommodate increasing, decreasing, bathtub- and unimodal-shaped hazard functions. A second advantage is that it includes classical distributions reported in the lifetime literature as special cases. We obtain explicit expressions for the moments of the baseline distribution of the new regression model. The proposed model can be applied to censored data since it includes as sub-models several widely known regression models. It therefore can be used more effectively in the analysis of survival data. We obtain maximum likelihood estimates for the model parameters by considering censored data. We show that our extended regression model is very useful by means of two applications to real data.

A log-linear regression model for the beta-Birnbaum-Saunders distribution with censored data

The beta-Birnbaum-Saunders (Cordeiro and Lemonte, 2011) and Birnbaum-Saunders (Birnbaum and Saunders, 1969a) distributions have been used quite effectively to model failure times for materials subject to fatigue and lifetime data. We define the log-beta-Birnbaum-Saunders distribution by the logarithm of the beta-Birnbaum-Saunders distribution. Explicit expressions for its generating function and moments are derived. We propose a new log-beta-Birnbaum-Saunders regression model that can be applied to censored data and be used more effectively in survival analysis. We obtain the maximum likelihood estimates of the model parameters for censored data and investigate influence diagnostics. The new location-scale regression model is modified for the possibility that long-term survivors may be presented in the data. Its usefulness is illustrated by means of two real data sets. (C) 2011 Elsevier B.V. All rights reserved.

Scanner 3D con proiettore e videocamera

In questa dissertazione viene descritto un sistema sviluppato per ottenere una rappresentazione a tre dimensioni in real time di una superficie. Il sistema si avvale di alcune tecniche di ottimizza- zione e di trattamento dell’immagine e sfrutta dispositivi comuni e di facile reperibilita`: una videocamera e un proiettore.

Un metodo multilivello per la semplificazione di mesh poligonali da scanner 3D

L'algoritmo di semplificazione proposto in questa tesi agisce in modo iterativo su due livelli, in una prima fase alla mesh viene applicato un operatore di smoothing e alla mesh così elaborata viene poi applicata la decimazione. L'alternanza di questi due operatori permette di avere mesh semplificate che mantengono però una qualità maggiore rispetto al risultato che si avrebbe invece applicando solo la decimazione. A partire da una mesh ad alta risoluzione, ad ogni iterazione viene quindi creata una mesh con una risoluzione inferiore fino all'ultima iterazione che produce la mesh coarse (a bassa risoluzione) desiderata. Si viene quindi a creare una struttura di semplificazione multilivello, utile in molte applicazioni di computer graphics.

Analisi geomorfologica della duna di Lido di Classe in seguito ad un evento di mareggiata, mediante monitoraggio con tenica laser scanner

L’obiettivo di questa tesi è presentare una tecnica di monitoraggio applicabile alle dune costiere, utilizzata per questo studio nella provincia di Ravenna e in particolare su di un cordone trasversale di duna costiera presente nell’area naturale adiacente alla foce del torrente Bevano nella zona di Lido di Classe. Tale tecnica si avvale dell’uso di tecnologia laser per fornire una documentazione 3D estremamente dettagliata, il quale ci permetterà di valutare come il sistema dunale si comporta di fronte ad un evento climatico estremo e/o sotto l’azione delle mareggiate, confrontando sia l’aspetto morfologico che morfometrico mediante l’uso di programmi che ci hanno permesso di confrontare i dati ottenuti prima e dopo l’evento climatico

Misure della morfologia e della funzionalita del piede tramite scanner plantare 3D e pedana baropodometrica

Il piede, con la sua complessa struttura anatomica, permette la stabilità e la deambulazione e per questo risulta fondamentale studiarne l’anatomia, la morfologia e la biomeccanica. La Pedana Baropodometrica è uno strumento che misura le pressioni plantari e permette di stimare alcuni parametri morfologici e funzionali del piede in modo veloce e relativamente economico. Lo Scanner Plantare 3D permette di acquisire in tempi brevi la geometria del piede creandone un modello tridimensionale digitale. Queste qualità hanno agevolato la diffusione di questi strumenti nella produzione di ortesi plantari su misura e, dato il crescente interesse del mercato verso le tematiche di customizzazione, alla loro commercializzazione su larga scala. Per ammortizzare i costi, tuttavia, questi strumenti sono spesso basati su tecnologie low-cost. Lo scopo dello studio svolto in questa tesi è quello di determinare la bontà e l’accuratezza di alcuni parametri morfologici e funzionali del piede acquisiti con una pedana baropodometrica resistiva a basso costo. Questi valori sono stati rapportati con misurazione dirette e con dati raccolti dall’elaborazione dell’immagine ricavata con uno scanner plantare 3D. In particolare sono state valutate misure di lunghezza e larghezza del piede, dell’arch index definito come il rapporto tra l’area del mesopiede e l’area totale del piede meno le dita, dell’angolo di progressione del passo e del CPEI, un parametro che indica la variazione della traiettoria del centro di massa. In conclusione la pedana baropodometrica, pur non essendo precisa nel determinare la distribuzione delle pressioni massime, si è dimostrata sufficientemente accurata nella stima delle dimensioni del piede, delle aree di appoggio e di alcune caratteristiche funzionali del piede.

Femur Specific Polyaffine Model to Regularize the Log-Domain Demons Registration

Osteoarticular allograft transplantation is a popular treatment method in wide surgical resections with large defects. For this reason hospitals are building bone data banks. Performing the optimal allograft selection on bone banks is crucial to the surgical outcome and patient recovery. However, current approaches are very time consuming hindering an efficient selection. We present an automatic method based on registration of femur bones to overcome this limitation. We introduce a new regularization term for the log-domain demons algorithm. This term replaces the standard Gaussian smoothing with a femur specific polyaffine model. The polyaffine femur model is constructed with two affine (femoral head and condyles) and one rigid (shaft) transformation. Our main contribution in this paper is to show that the demons algorithm can be improved in specific cases with an appropriate model. We are not trying to find the most optimal polyaffine model of the femur, but the simplest model with a minimal number of parameters. There is no need to optimize for different number of regions, boundaries and choice of weights, since this fine tuning will be done automatically by a final demons relaxation step with Gaussian smoothing. The newly developed synthesis approach provides a clear anatomically motivated modeling contribution through the specific three component transformation model, and clearly shows a performance improvement (in terms of anatomical meaningful correspondences) on 146 CT images of femurs compared to a standard multiresolution demons. In addition, this simple model improves the robustness of the demons while preserving its accuracy. The ground truth are manual measurements performed by medical experts.

Geometry-Aware Multiscale Image Registration via OBBTree-Based Polyaffine Log-Demons

Non-linear image registration is an important tool in many areas of image analysis. For instance, in morphometric studies of a population of brains, free-form deformations between images are analyzed to describe the structural anatomical variability. Such a simple deformation model is justified by the absence of an easy expressible prior about the shape changes. Applying the same algorithms used in brain imaging to orthopedic images might not be optimal due to the difference in the underlying prior on the inter-subject deformations. In particular, using an un-informed deformation prior often leads to local minima far from the expected solution. To improve robustness and promote anatomically meaningful deformations, we propose a locally affine and geometry-aware registration algorithm that automatically adapts to the data. We build upon the log-domain demons algorithm and introduce a new type of OBBTree-based regularization in the registration with a natural multiscale structure. The regularization model is composed of a hierarchy of locally affine transformations via their logarithms. Experiments on mandibles show improved accuracy and robustness when used to initialize the demons, and even similar performance by direct comparison to the demons, with a significantly lower degree of freedom. This closes the gap between polyaffine and non-rigid registration and opens new ways to statistically analyze the registration results.