WHOSE MODEL IS IT!: BRIDGING THE GAP BETWEEN ENGINEERING AND STATISTICS

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/71421/1/j.1747-1567.1999.tb01539.x.pd

Damping of Glass Structures and Components

In this paper, the dynamic properties of a glass structures and glass components will be discussed. A short introduction to dynamic load will be presented as well as the basic principles of calculus used behind the widely understood finite elementanalysis. A comprehensive review of the various damping concepts, coefficients and physical backgrounds will be summarized. The mathematical model is analyzed by Finite Element Method and by STRAND 7 software system. In this paper, the consideration of various damping concepts using FEM for the harmonic and transient dynamic analysis is addressed. Several key points are summarized

Hybrid Glass Structures – Design Philosophy and Selected Checking Procedures

In this paper authors will summarise current design approaches for hybrid glass structures. Our past and present projects will be used to demonstrate how such structures can be justified using finite element analysis, analytical solutions in context of prescriptive national and international regulations, industry guidance’s developed and accumulated over past decades. General methods will be distilled, relevant for future hybrid glass structures

Structural Silicone Glazing - Design & Modelling

The use of Structural silicone glazing (SSG) systems in large commercial glazed facades is well established in current practice, mainly due to the architectural aspiration of having a continuous smooth glass surface across the building elevation. Enhanced thermal and security (blast) performance are typically listed as an advantage for this particular type of systems. SSG façade systems are structurally complex due to the fact that multiple load-paths can be identified within the system. It is accepted as good practice to detail façade panels so that the dead load of the glass is not carried through the structural silicone. But can this be achieved in reality? The aim of this paper is to identify and discuss challenges with the assumption that the SSG is isolated from the glass self weight and provide a better understanding on the complexity of SSG systems. The influence of stress/strain and creep due to the long-term load on the system capacity will be investigated. Some degree of long term loads are usually present due to detailing and real system behaviour. Real project examples will be used to identify opportunities for improvement and findings will be summarised at the end of the paper

Usage of the MATLAB environment for neural networks

Tato bakalářská práce se věnuje základům teorie neuronových sítí a jejich modelováním v prostředí MATLAB. Práce může být rozdělena do čtyř celků. Po úvodu k práci je v první kapitole vysvětleno teoretické pozadí neuronových sítí. Kapitola uvádí stručnou historii, biologické pozadí neuronových sítí a pojednává o základních síťových architekturách a procesu trénování těchto sítí. Další část práce se zabývá samotnou implementací neuronových sítí v prostředí MATLAB, přípravou dat, vytvářením síti, jejich simulací a testováním. Poslední část dokumentu obsahuje návrh dvou úloh pro seznámení studentů s modelováním neuronových sítí v MATLABe.This bachelor thesis discusses the basic theory and modelling of neural networks in the software environment of MATLAB. The thesis can be divided into four parts. After an introduction into the thesis, the theoretical background of the neural netwoks is explained in the first chapter. This chapter features a brief history and a biological background of neural networks and deals with the basic network architectures and the training processes. The next part is the description of how to implement networks in a general way using the MATLAB enviroment, so it deals with preparation of data, creation, simulation and training of a neural network. The last part of the paper covers a design of two excersises created in order to introduce modelling of the neural networks in the MATLAB enviroment to the students.

bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors

The Bayesian spectral analysis model (BSAM) is a powerful tool to deal with semiparametric methods in regression and density estimation based on the spectral representation of Gaussian process priors. The bsamGP package for R provides a comprehensive set of programs for the implementation of fully Bayesian semiparametric methods based on BSAM. Currently, bsamGP includes semiparametric additive models for regression, generalized models and density estimation. In particular, bsamGP deals with constrained regression models with monotone, convex/concave, S-shaped and U-shaped functions by modeling derivatives of regression functions as squared Gaussian processes. bsamGP also contains Bayesian model selection procedures for testing the adequacy of a parametric model relative to a non-specific semiparametric alternative and the existence of the shape restriction. To maximize computational efficiency, we carry out posterior sampling algorithms of all models using compiled Fortran code. The package is illustrated through Bayesian semiparametric analyses of synthetic data and benchmark data

On the analysis of non-photochemical chlorophyll fluorescence quenching curves I. Theoretical considerations

AbstractNon-photochemical quenching (NPQ) protects photosynthetic organisms against photodamage by high light. One of the key measuring parameters for characterizing NPQ is the high-light induced decrease in chlorophyll fluorescence. The originally measured data are maximal fluorescence (Fm′) signals as a function of actinic illumination time (Fm′(t)). Usually these original data are converted into the so-called Stern–Volmer quenching function, NPQSV(t), which is then analyzed and interpreted in terms of various NPQ mechanisms and kinetics. However, the interpretation of this analysis essentially depends on the assumption that NPQ follows indeed a Stern–Volmer relationship. Here, we question this commonly assumed relationship, which surprisingly has never been proven. We demonstrate by simulation of quenching data that particularly the conversion of time-dependent quenching curves like Fm′(t) into NPQSV(t) is (mathematically) not “innocent” in terms of its effects. It distorts the kinetic quenching information contained in the originally measured function Fm′(t), leading to a severe (often sigmoidal) distortion of the time-dependence of quenching and has negative impact on the ability to uncover the underlying quenching mechanisms and their contribution to the quenching kinetics. We conclude that the commonly applied analysis of time-dependent NPQ in NPQSV(t) space should be reconsidered. First, there exists no sound theoretical basis for this common practice. Second, there occurs no loss of information whatsoever when analyzing and interpreting the originally measured Fm′(t) data directly. Consequently, the analysis of Fm′(t) data has a much higher potential to provide correct mechanistic answers when trying to correlate quenching data with other biochemical information related to quenching

A fine romance? Developing a transformational school-university partnership

This paper investigates the complexities involved in a school-university partnership between a secondary school, Highview College and Federation University, both located in Australia. The authors argue that Federation University and Highview College have worked together to develop a transformational partnership in a Community of Practice (CoP) that has benefits for both parties. The authors report the findings through the analogy of a relationship unfolding. Using a qualitative methodology, it was found that through the development of a transformational partnership, a number of benefits had even-tuated. These benefits include authentic learning experiences and the raising of university aspirations for school students. © 2021 James Nicholas Publishers

Complex Curved Storefront: The Looking Glass

A bespoke structural glass storefront is designed for the P.C. Hooftstraat 138. Developer Warenar Real Estate assembled a design team with UNStudio, Arup and Octatube. The façade features twisted geometries with precisely detailed glass connections and custom non-orthogonal steel and glass doors. At ground floor level the facade starts flush with adjacent buildings but rising up it also leans and cantilevers outwards to become more visible from a distance. For optimal quality and minimalistic detailing, a scheme was designed in which most elements could be pre-assembled in the factory into three large 2m x 8,5m high units. Connections between curved glass elements are all glued in combination with stainless steel elements for edge protection and emphasis on the curved geometry. Risk of thermal breakage of annealed curved elements that are partially inside and partially outside is minimized by gluing stainless steel plates to the glass elements that act as cooling ribs. Frequent collaboration throughout the whole project between all parties resulted in successful delivery with no glass breakage during the construction phase. It took years to design, months to assemble in factory, but only 2 days to construct on site

Bayesian Estimation of Circumplex Models Subject to Prior Theory Constraints and Scale-Usage Bias

This paper presents a hierarchical Bayes circumplex model for ordinal ratings data. The circumplex model was proposed to represent the circular ordering of items in psychological testing by imposing inequalities on the correlations of the items. We provide a specification of the circumplex, propose identifying constraints and conjugate priors for the angular parameters, and accommodate theory-driven constraints in the form of inequalities. We investigate the performance of the proposed MCMC algorithm and apply the model to the analysis of value priorities data obtained from a representative sample of Dutch citizens.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/43547/1/11336_2001_Article_958.pd