On representation and construction in a tectonic design studio

This study investigates the roles of representationand construction in enhancing students' learning in a tectonic design studio.  Students of architecture use 3D CAD, physical models and drawings, either alone or in hybrid combinations in the the design, development and communication of their design process.  Each of these media has intrinsic attributes that limit or enhance students' ability to engage in issues of architecture.  This can have a significant influence on students' learning of conceptual and tectonic design, in particularly in their early years of study.  Tectonic design, as an element of the architectural design process that involves the designerly consideration of issues of construction, is an important skill that is integral to architectural practice.  The unique problem based learning environment of the design studio offers opportunities for the development of deep learning approaches to tectonic design, however these are limited by the way students engage in representational media.  This research is based on an ethnographis case study of a cohort of second year architecture students at Deakin University, Geelong, in 2002.

An invariant subspace-based approach to the random eigenvalue problem of systems with clustered spectrum

The repeated or closely spaced eigenvalues and corresponding eigenvectors of a matrix are usually very sensitive to a perturbation of the matrix, which makes capturing the behavior of these eigenpairs very difficult. Similar difficulty is encountered in solving the random eigenvalue problem when a matrix with random elements has a set of clustered eigenvalues in its mean. In addition, the methods to solve the random eigenvalue problem often differ in characterizing the problem, which leads to different interpretations of the solution. Thus, the solutions obtained from different methods become mathematically incomparable. These two issues, the difficulty of solving and the non-unique characterization, are addressed here. A different approach is used where instead of tracking a few individual eigenpairs, the corresponding invariant subspace is tracked. The spectral stochastic finite element method is used for analysis, where the polynomial chaos expansion is used to represent the random eigenvalues and eigenvectors. However, the main concept of tracking the invariant subspace remains mostly independent of any such representation. The approach is successfully implemented in response prediction of a system with repeated natural frequencies. It is found that tracking only an invariant subspace could be sufficient to build a modal-based reduced-order model of the system. Copyright (C) 2012 John Wiley & Sons, Ltd.

Le droit québécois du travail et la mise en oeuvre du principe d'égalité dans les milieux de travail syndiqués

Cette thèse s’inscrit dans une démarche de recherche des principes et mesures permettant de mettre en œuvre efficacement le principe d’égalité en milieu de travail syndiqué au Québec. Adoptant comme guide la sociologie des ordres juridiques complétée et accompagnée par le systémisme luhmannien, nous avons accompli une étude des ordres juridiques qui agissent en ce qui a trait aux aspects juridiques des relations du travail avant de procéder à l’évaluation de la politique publique relative à l’égalité. L’étude est divisée en trois parties. La première est consacrée à une exploration du pluralisme juridique, à la sociologie des ordres juridiques et à la présentation des ordres juridiques du travail. La seconde adopte une perspective historique de l’action syndicale, du droit du travail et de la politique publique relative à l’égalité. La troisième comprend une démarche d’évaluation de cette politique publique et une démarche de construction normative relative aux principes et mesures permettant la mise en œuvre efficace du principe d’égalité. Sur le plan de l’évaluation, nous recourons d’abord à une étude empirique et juridique d’un important dossier de plaintes à la Commission des droits de la personne et des droits de la jeunesse : le dossier du gel d’échelon salarial dans la convention collective du personnel enseignant des commissions scolaires; nous accomplissons ensuite une revue de la littérature en ce qui a trait à la politique publique relative à l’égalité; nous accomplissons enfin une analyse de ce qu’offrent aux milieux syndiqués les deux principales voies de mise en œuvre de l’égalité, d’une part, le grief et l’arbitrage et d’autre part, la plainte à la Commission des droits de la personne et des droits de la jeunesse et, le cas échéant, le recours devant le Tribunal des droits de la personne. Sur le plan de la construction normative, nous nous basons sur l’analyse sociologique, historique et évaluative accomplie pour concevoir les éléments de politique nécessaires pour atteindre l’objectif recherché.

On Compositional Modelling

Many solutions to AI problems require the task to be represented in one of a multitude of rigorous mathematical formalisms. The construction of such mathematical models forms a difficult problem which is often left to the user of the problem solver. This void between problem solvers and the problems is studied by the eclectic field of automated modelling. Within this field, compositional modelling, a knowledge-based methodology for system modelling, has established itself as a leading approach. In general, a compositional modeller organises knowledge in a structure of composable fragments that relate to particular system components or processes. Its embedded inference mechanism chooses the appropriate fragments with respect to a given problem, instantiates and assembles them into a consistent system model. Many different types of compositional modeller exist, however, with significant differences in their knowledge representation and approach to inference. This paper examines compositional modelling. It presents a general framework for building and analysing compositional modellers. Based on this framework, a number of influential compositional modellers are examined and compared. The paper also identifies the strengths and weaknesses of compositional modelling and discusses some typical applications.

Abordaje preventivo de la resistencia infantil a la atención odontológica a través del juego

La resistencia de algunos niños a la atención odontológica constituye un problema para los profesionales, el niño y sus padres. Una forma de prevenirla es preparar al niño con anticipación utilizando el juego como espacio transicional para la aceptación de los procedimientos de curación. La experiencia nos ha demostrado su eficacia en la construcción de representaciones en la mente del niño del diagnóstico y del tratamiento. Al anticipar la experiencia a través del juego disminuye su temor. La metodología implementada es la técnica de juego en grupos pequeños de pares. Los niños comprenden la situación odontológica a través de dramatizaciones, dibujos y juegos con instrumental y juguetes En un clima Iúdico, aprenden el uso del instrumental odontológico, se familiariza con el mobiliario y aparatología del consultorio y posteriormente se evalúa la disposición para recibir atención odontológica.

Constructing representations to learn science

While there has been considerable research attention paid to ways of supporting students to interpret and apply the multi modal representations that constitute scientific understanding, less has been paid to the active construction of representations as part of a science inquiry process. This chapter describes the development, over a decade, of major Australian research projects involving researchers from five universities exploring a guided inquiry approach to school science involving the construction and negotiation of representations. This program of research is based in pragmatist understandings of the relationship between representations, phenomena and meaning making. It links the pedagogy to the knowledge production processes of science itself, drawing on science study scholars such as Latour and Gooding. The approach has formed the basis of major government sponsored professional learning programs. This chapter describes the development of this ‘representation construction’ approach and provides examples of sequences of representational challenges, with associated student work, to demonstrate the key features of the pedagogy and the quality of learning that ensues. We describe current research working with schools to establish the approach more widely and the professional learning challenges this poses for teachers.

Efficient methods for stochastic optimal control

The Hamilton Jacobi Bellman (HJB) equation is central to stochastic optimal control (SOC) theory, yielding the optimal solution to general problems specified by known dynamics and a specified cost functional. Given the assumption of quadratic cost on the control input, it is well known that the HJB reduces to a particular partial differential equation (PDE). While powerful, this reduction is not commonly used as the PDE is of second order, is nonlinear, and examples exist where the problem may not have a solution in a classical sense. Furthermore, each state of the system appears as another dimension of the PDE, giving rise to the curse of dimensionality. Since the number of degrees of freedom required to solve the optimal control problem grows exponentially with dimension, the problem becomes intractable for systems with all but modest dimension.

In the last decade researchers have found that under certain, fairly non-restrictive structural assumptions, the HJB may be transformed into a linear PDE, with an interesting analogue in the discretized domain of Markov Decision Processes (MDP). The work presented in this thesis uses the linearity of this particular form of the HJB PDE to push the computational boundaries of stochastic optimal control.

This is done by crafting together previously disjoint lines of research in computation. The first of these is the use of Sum of Squares (SOS) techniques for synthesis of control policies. A candidate polynomial with variable coefficients is proposed as the solution to the stochastic optimal control problem. An SOS relaxation is then taken to the partial differential constraints, leading to a hierarchy of semidefinite relaxations with improving sub-optimality gap. The resulting approximate solutions are shown to be guaranteed over- and under-approximations for the optimal value function. It is shown that these results extend to arbitrary parabolic and elliptic PDEs, yielding a novel method for Uncertainty Quantification (UQ) of systems governed by partial differential constraints. Domain decomposition techniques are also made available, allowing for such problems to be solved via parallelization and low-order polynomials.

The optimization-based SOS technique is then contrasted with the Separated Representation (SR) approach from the applied mathematics community. The technique allows for systems of equations to be solved through a low-rank decomposition that results in algorithms that scale linearly with dimensionality. Its application in stochastic optimal control allows for previously uncomputable problems to be solved quickly, scaling to such complex systems as the Quadcopter and VTOL aircraft. This technique may be combined with the SOS approach, yielding not only a numerical technique, but also an analytical one that allows for entirely new classes of systems to be studied and for stability properties to be guaranteed.

The analysis of the linear HJB is completed by the study of its implications in application. It is shown that the HJB and a popular technique in robotics, the use of navigation functions, sit on opposite ends of a spectrum of optimization problems, upon which tradeoffs may be made in problem complexity. Analytical solutions to the HJB in these settings are available in simplified domains, yielding guidance towards optimality for approximation schemes. Finally, the use of HJB equations in temporal multi-task planning problems is investigated. It is demonstrated that such problems are reducible to a sequence of SOC problems linked via boundary conditions. The linearity of the PDE allows us to pre-compute control policy primitives and then compose them, at essentially zero cost, to satisfy a complex temporal logic specification.

Engineering of a monodisperse core-shell magnetic Ti-O-Si oxidation nanocatalyst

There has been limited development in catalyst carriers for magnetic separations where superparamagnetic nanoparticles of a high saturation magnetization with no coercivity are required to isolate expensive catalyst reagent that are subjected to repeated magnetic cycles. By using simple stepwise layer-by-layer nanochemistry techniques, we show that an fee FePt nanomagnet can be created inside each silica particle with tailored dimensions to great precision. Subsequent engineering of the external surface with Ti-O-Si species in an optimum structure to create a unique interface gives high activity and excellent selectivity of the composite material for the trans-stilbene oxidation to the corresponding epoxide in the presence of tert-butyl hydroperoxide. Thus, a new magnetic separable epoxidation catalyst is described. This work clearly demonstrates the significance of nanoengineering of a single catalyst particle by a bottom-up construction approach in modern catalyst design, which could lead to new catalytic. properties.

Engineering Pt in ceria for a maximum metal-support interaction in catalysis

Conventional supported metal catalysts are metal nanoparticles deposited on high surface area oxide supports with a poorly defined metal−support interface. Typically, the traditionally prepared Pt/ceria catalyzes both methanation (H2/CO to CH4) and water−gas shift (CO/H2O to CO2/H2) reactions. By using simple nanochemistry techniques, we show for the first time that Pt or PtAu metal can be created inside each CeO2 particle with tailored dimensions. The encapsulated metal is shown to interact with the thin CeO2 overlayer in each single particle in an optimum geometry to create a unique interface, giving high activity and excellent selectivity for the water−gas shift reaction, but is totally inert for methanation. Thus, this work clearly demonstrates the significance of nanoengineering of a single catalyst particle by a bottom-up construction approach in modern catalyst design which could enable exploitation of catalyst site differentiation, leading to new catalytic properties.

Automated Problem Domain Cognition Process in Information Systems Design

An automated cognitive approach for the design of Information Systems is presented. It is supposed to be used at the very beginning of the design process, between the stages of requirements determination and analysis, including the stage of analysis. In the context of the approach used either UML or ERD notations may be used for model representation. The approach provides the opportunity of using natural language text documents as a source of knowledge for automated problem domain model generation. It also simplifies the process of modelling by assisting the human user during the whole period of working upon the model (using UML or ERD notations).

Leveraging Lean Production Philosophy for Rationalising a Non-Linear Representation of Construction Specifications

This paper presents an approach, based on Lean production philosophy, for rationalising the processes involved in the production of specification documents for construction projects. Current construction literature erroneously depicts the process for the creation of construction specifications as a linear one. This traditional understanding of the specification process often culminates in process-wastes. On the contrary, the evidence suggests that though generalised, the activities involved in producing specification documents are nonlinear. Drawing on the outcome of participant observation, this paper presents an optimised approach for representing construction specifications. Consequently, the actors typically involved in producing specification documents are identified, the processes suitable for automation are highlighted and the central role of tacit knowledge is integrated into a conceptual template of construction specifications. By applying the transformation, flow, value (TFV) theory of Lean production the paper argues that value creation can be realised by eliminating the wastes associated with the traditional preparation of specification documents with a view to integrating specifications in digital models such as Building Information Models (BIM). Therefore, the paper presents an approach for rationalising the TFV theory as a method for optimising current approaches for generating construction specifications based on a revised specification writing model.

Construction projects immediate health check : a CSF & KPI approach

Many factors have the potential to influence human health. These factors need to be monitored to maintain health. As is the case with human health, construction projects have a number of critical factors that can facilitate a broad evaluation of project health. In order to use these factors as an indication of health, they need to be assessed. This assessment can help to achieve desired outcomes for the project. This paper discusses the approach of assessing Critical Success Factors (CSFs) using Key Performance Indicators (KPIs) to ascertain the immediate health of a construction project. This approach is applicable to all phases of construction projects and many construction procurement methods. KPIs have been benchmarked on the basis of industry standards and historical data. The robustness of the KPIs to assess the immediate health of a project has been validated using Australian and international case studies.

A soft approach to solving hard problems in construction project management

Construction projects are faced with a challenge that must not be underestimated. These projects are increasingly becoming highly competitive, more complex, and difficult to manage. They become ‘wicked problems’, which are difficult to solve using traditional approaches. Soft Systems Methodology (SSM) is a systems approach that is used for analysis and problem solving in such complex and messy situations. SSM uses “systems thinking” in a cycle of action research, learning and reflection to help understand the various perceptions that exist in the minds of the different people involved in the situation. This paper examines the benefits of applying SSM to wicked problems in construction project management, especially those situations that are challenging to understand and difficult to act upon. It includes relevant examples of its use in dealing with the confusing situations that incorporate human, organizational and technical aspects.

Analysing queer student media using a combined queer theoretical and media studies approach

Australian queer (GLBTIQ) university student media is an important site of cultural and political self-representation. These groups exist within university student unions and the unions provide them with space, financial support and resources. Community media is a significant site for the development of queer identity, community and a key part of queer politics. This paper reviews my research into queer community media which is grounded in a Queer Theoretical perspective of identity performativity. Cover argues that Queer Theoretical approaches that study media products fail to consider the material contexts which contribute to their construction. I use an ethnographic approach combined with discourse analysis in order to reveal queer student activists’ media representations of queer, and the production contexts which shape them. My research contributes to queer media scholarship by using a methodology to address the gap that Cover identifies.