87 resultados para constraint based design

em Deakin Research Online - Australia


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This paper explores the rapid escalation of demand for information in both complex and convergent forms of accessible technology. The authors contend that this growth creates a concomitant demand for a highly skilled information technology workforce. To ensure the preservation and continued development of this workforce, education of the information technology professional is increasingly acknowledged as one of the primary challenges
confronting educators and educational institutions. Many institutions have sought solutions to this educational conundrum in populist concepts of e-learning

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This paper presents a method for converting unrestricted fiction text into a time-based graphical form. Key concepts extracted from the text are used to formulate constraints describing the interaction of entities in a scene. The solution of these constraints over their respective time intervals provides the trajectories for these entities in a graphical representation.

Three types of entity are extracted from fiction books to describe the scene, namely Avatars, Areas and Objects. We present a novel method for modeling the temporal aspect of a fiction story using multiple time-line representations after which the information extracted regarding entities and time-lines is used to formulate constraints. A constraint solving technique based on interval arithmetic is used to ensure that the behaviour of the entities satisfies the constraints over multiple universally quantified time intervals. This approach is demonstrated by finding solutions to multiple time-based constraints, and represents a new contribution to the field of Text-to-Scene conversion. An example of the automatically produced graphical output is provided in support of our constraint-based conversion scheme.

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A three stage-treatment of domestic wastewater including anaerobic, anoxic and aerobic phases is employed in this study while a clarifier unit is replaced with a submerged membrane in the aerobic unit. The effects of operational parameters on the performance of a pilot scale submerged membrane bioreactor (SMBR) namely hydraulic retention time (HRT), ratio of return activated sludge (QRS), ratio of internal recycle (QIR), solid retention time (SRT) and dissolved oxygen (DO) are evaluated by simulations, using a hybrid model composed of TUDP model, oxygen transfer model, biofouling model due to extra-cellular polymeric substances (EPS) and turbulent shear model. The results showed that anaerobic HRT of 3 hours, anoxic HRT of 6 hours, QRS of 20% and QIR of 300 % are satisfactory in obtaining a high removal efficiency (>90%) of COD, NH4-N, P04-P as well as a less sludge production. An increase of sludge production causes an increase in EPS, which fouls the membrane surface and increase the cleaning cycle of membrane. Operation of 5MBR system at 2 mg/I of DO and 30 days of SRT can extend the membrane cleaning cycle dramatically. The membrane cleaning cycle however is strongly dependent on the initial and terminal specific fluxes and displays inverse power relationships to those fluxes.

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The Nagara tradition of temple building created a rich corpus of Latina (single-spired) temples spread across Northern India between the fifth and thirteenth centuries. Computing methods offer a distinct methodology for reconstructing the genesis and evolution of geometry in this tradition over time. This paper reports a hybrid technique, comprising three distinct computations for recovering and explaining the geometry of temples. The application of the technique enables scholars to bring together fragments of evidence, construe "best-fit" strategies and unearth implicit or hidden relationships. The advantage of this approach is that changes in assumptions and testing of geometric alternatives can be easily simulated from multiple sources of information, such as texts, sacred diagrams and individual temples.

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Constraint based tools for architectural design exploration need to satisfy aesthetic and functional criteria as well as combine discrete and continuous modes of exploration. In this paper, we examine the possibilities for stochastic processes in design space exploration.

Specifically, we address the application of a stochastic wind motion model to the subdivision of an external building envelope into smaller discrete components. Instead of deterministic subdivision constraints, we introduce explicit uncertainty into the system of subdivision. To address these aims, we develop a model of stochastic wind motion; create a subdivision scheme that is governed by the wind model and explore a design space of a facade subdivision problem. A discrete version of the facade, composed of light strips and panels, based on the bamboo elements deformed by continuous wind motion, is developed. The results of the experiments are presented in the paper.

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We describe an experimental study testing the reuse of design knowledge as a method to support learning and use of parametric design in architecture.The use of parametric design systems and programming environments offer architects new opportunities, providing a powerful means to create geometries and allowing dynamic design exploration, but it can also impose substantial challenges.The proposition tested in this study is that the reuse of design knowledge can improve architects’ ability to use parametric modelling, and reduce the barriers to using programming in a design context.The paper explores and compares two approaches as a means of accessing and reusing existing design solutions: the reuse of abstract parametric ‘Design Patterns’ [1]; and secondly the reuse of parametric solutions from specific design cases (Case- Based Design).This paper outlines the principles and methods of ‘abstract’ versus ‘case-based’ approaches to reuse parametric solutions; and focuses on the results of their practical implementation through the statistical analysis of a comparative study involving 126 designers. In conclusion, it is proposed the outcomes from this study can be applied to inform the methodology for introducing parametric design in architecture and design disciplines.

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This paper reports on a comparative study that evaluates two approaches to support the learning and use of algorithmic design in architecture, and extrapolates from this to consider applications for the algorithmic design of cities. The study explored two methods to reduce the barriers of using programming and potentially improve design performance. The first is the reuse of abstract algorithmic ‘patterns’. The second approach is the reuse of algorithmic solutions from specific design cases (case-based design). Reflecting on this research we outline how our findings discussed in relation to alternate thinking on the use of pattern, might inform a hybrid approach to the algorithmic design of cities.

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The question of whether or not design can be considered research has perplexed schools of architecture ever since they were first introduced into universities. It was at the center of the Oxbridge union debates in the early 1900s. It formed one of the corner stones of the Oxford conference on education organized by the RIBA in 1958 (Martin 1958) and came under scrutiny again in the UK with the introduction of the Research Assessment Exercise (RAE) in 1992. While the arguments both for and against are considerable1, “in order to understand the questions and the possibilities of architectural research and to respond to the difficulties that confront us now, we have to have a model which acknowledges what schools of architecture really are, and could be, and then work with that” 2.
Drawing on professionally oriented research models, such as qualitative ‘clinical research’, from Medicine and the Health Sciences - where the processes of exploration, observation, investigation, recording and communication are conducted in-situ by the ‘practitioner-as-researcher’ 3 - the following paper outlines an initiative introduced in 1999, referred to as the ‘Urban Heart Surgery’ 4. The program actively integrates students entering their second degree program into a studio based design research culture and allows them to engage in critical discourse by working on high profile strategic design projects in three areas significant to Victoria’s future growth: Metropolitan Urbanism, Urbanism on the Periphery, and Regional Urbanism.
With a growing core of industrial and community based partnerships, including: four regional councils (Bendigo, Ballarat, Geelong and Warrnambool) and three metropolitan municipalities (Melbourne City, Port Phillip and Wyndham), the forum actively facilitates a graduate/practice research agenda through the ARC linkage grant program.

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Information in construction industry is delivered and interpreted in a language specific to the industry in which large complex objects are only partially described and with much information being implicit in the language used. Successful communication therefore relies on participants in the industry leaming how to interpret the language through many years of education, training and experience. With the introduction of computer technology, and in particular the detailed digital building information model (DB 1M), the accepted language currently in use is no longer a valid method of describing the building. At all stages in the paper based design and documentation process it is generally readily apparent which parts of the design require further completion and which are fully resolved. This is able to be achieved through the complex graphical language currently in use. In the DBIM, all information appears at the same level of resolution making difficult the interpretation of implicit information embedded in the model. This compromises the collaborative design environment which is being described as a fundamental characteristic of the future construction industry. This paper focuses on two areas. The first analyses design resolution and the role uncertain information plays in the design process. It then discusses the manner in which designers and the industry in general deal with incomplete or unresolved information. The second describes a theoretical model in which a design resolution (DR) environment incorporates the level of design resolution as an operable element in a collaborative DBIM. The development and implementation of this model will allow designers to better share, understand and interpret design knowledge from the shared information during the various stages of digital design and before full resolution is achieved.

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In recognition of the apparent paradox between the cultural-systems of Asia and the West and the teaching and learning styles they promote, this platform paper aims to propose how research might investigate differences between achievement and diverse learning preferences at various stages of the design process in the multi-cultural studios of Deakin University. The paper presents a Strategic Teaching and Learning Grant project currently running at Deakin as a reflexive research program aimed at resolving the learning difficulties of international students collaborating in three undergraduate design studios. The primary aim of this program is to inform a new culturally inclusive andragogy for problem-based design teaching through experiential
learning theory.

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A new design method for a distributed power system stabiliser for interconnected power systems is introduced in this paper. The stabiliser is of a low order, dynamic and robust. To generate the required local control signals, each local stabiliser requires information about either the rotor speed or the load angle of the other subsystems. A simple MATLAB based design algorithm is given and used on a three-machine unstable power system. The resulting stabiliser is simulated and sample results are presented.

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A new design method for a distributed power system stabiliser for interconnected power systems is introduced in this paper. The stabiliser is of a low order, dynamic and robust. To generate the required local control signals, each local stabiliser requires information about either the rotor speed or the load angle of the other subsystems. A simple MATLAB based design algorithm is given and used on a three-machine unstable power system. The resulting stabiliser is simulated and sample results are presented.

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In this paper we examine the geometrically constrained optimization approach to localization with hybrid bearing (angle of arrival, AOA) and time difference of  arrival (TDOA) sensors. In particular, we formulate a constraint on the measurement errors which is then used along with constraint-based optimization tools in order to estimate the maximum likelihood values of the errors given an appropriate cost function. In particular we focus on deriving a localization algorithm for stationary target localization in the so-called adverse localization geometries where the relative positioning of the sensors and the target do not readily permit accurate or convergent localization using traditional approaches. We illustrate this point via simulation and we compare our approach to a number of different techniques that are discussed in the literature.