199 resultados para Art and Design


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Joining any new community involves transition and adaptation. Just as we learn to adapt to different cultures when we choose to live abroad, so students learn the language and culture of an academic community in order to succeed within that environment. At the same time however, students bring with them individual learning styles and expectations, influenced by their prior experiences of learning and of life more generally. Some have excelled at school; others have come to fashion seeking something in which to excel for the first time. Commencing a degree in fashion design brings students into contact with peers and lecturers who share their passion, providing them with a community of practice which can be both supportive and at the same time intimidating.----- In Queensland where university level study in fashion is such a new phenomenon, few applicants have any depth of training in design when they apply to study fashion. Unlike disciplines such as Dance or Visual Art, where lecturers can expect a good level of skill upon entry to a degree program, we have to look for the potential evidenced in an applicant’s portfolio, much of which is untutored work that they have generated themselves in preparation for application. This means that many first year fashion students at QUT whilst very passionate about the idea of fashion design are often very naïve about the practice of fashion design, with limited knowledge of the history or cultural context of fashion and few of the technical skills needed to translate their ideas into three dimensional products.----- For teachers engaging with first year students in the design studios, it is critical to be cognizant of this mix of different experiences, expectations and emotions in order to design curricula and assessment that stretch and engage students without unduly increasing their sense of frustration and anxiety. This paper examines a first year project designed to provide an introduction to design process and to learning within a creative discipline. The lessons learnt provide a valuable and transferable resource for lecturers in a variety of art and design disciplines.

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In this paper, we present interim results from the Communities and Place project, which is exploring methods for understanding communities in a variety of contexts, and how to inform the design of technology to support them. We report on our experience with adapting an existing game-based approach for working with video as a resource in participatory design processes. Our adaptations allow the approach to be used with diverse data arising out of the different communities we are engaged with, and different design traditions we approach the problem from, leading to the formation of common design themes to inform our future work on this project.

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We spent a fare amount of time thinking and debating where to draw the line between what is and what is not single-screen-based interactive media. This really is a tricky category. I would like to use this opportunity to raise certain issues about this very new category introduced this year to ifva. First of all, what do we mean by "interactive" media? If we conceptually or philosophically try to describe it, almost every artifact (not only those who are intended as a piece of art) can be perceived as "interactive" media as soon as one sees/ recognises it and begins interacting with it physically and/or mentally. What about when we limit this to computer related media? This certainly limits the scope, but well, it is becoming increasinly difficult to find art and design that are considered innovative without the use of computer. the term "single-screen" certainly makes it more specific, but as we saw from a range of works submitted to this category, people do come up with various interpretations to it. Some simply submitted work that can be viewed with computer screen, which didn't allow much user participation, while others provided various degrees of user/audience participation. What does "singel-screen-based interactive media" mean?

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Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This final report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.

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Experience plays an important role in building management. “How often will this asset need repair?” or “How much time is this repair going to take?” are types of questions that project and facility managers face daily in planning activities. Failure or success in developing good schedules, budgets and other project management tasks depend on the project manager's ability to obtain reliable information to be able to answer these types of questions. Young practitioners tend to rely on information that is based on regional averages and provided by publishing companies. This is in contrast to experienced project managers who tend to rely heavily on personal experience. Another aspect of building management is that many practitioners are seeking to improve available scheduling algorithms, estimating spreadsheets and other project management tools. Such “micro-scale” levels of research are important in providing the required tools for the project manager's tasks. However, even with such tools, low quality input information will produce inaccurate schedules and budgets as output. Thus, it is also important to have a broad approach to research at a more “macro-scale.” Recent trends show that the Architectural, Engineering, Construction (AEC) industry is experiencing explosive growth in its capabilities to generate and collect data. There is a great deal of valuable knowledge that can be obtained from the appropriate use of this data and therefore the need has arisen to analyse this increasing amount of available data. Data Mining can be applied as a powerful tool to extract relevant and useful information from this sea of data. Knowledge Discovery in Databases (KDD) and Data Mining (DM) are tools that allow identification of valid, useful, and previously unknown patterns so large amounts of project data may be analysed. These technologies combine techniques from machine learning, artificial intelligence, pattern recognition, statistics, databases, and visualization to automatically extract concepts, interrelationships, and patterns of interest from large databases. The project involves the development of a prototype tool to support facility managers, building owners and designers. This Industry focused report presents the AIMMTM prototype system and documents how and what data mining techniques can be applied, the results of their application and the benefits gained from the system. The AIMMTM system is capable of searching for useful patterns of knowledge and correlations within the existing building maintenance data to support decision making about future maintenance operations. The application of the AIMMTM prototype system on building models and their maintenance data (supplied by industry partners) utilises various data mining algorithms and the maintenance data is analysed using interactive visual tools. The application of the AIMMTM prototype system to help in improving maintenance management and building life cycle includes: (i) data preparation and cleaning, (ii) integrating meaningful domain attributes, (iii) performing extensive data mining experiments in which visual analysis (using stacked histograms), classification and clustering techniques, associative rule mining algorithm such as “Apriori” and (iv) filtering and refining data mining results, including the potential implications of these results for improving maintenance management. Maintenance data of a variety of asset types were selected for demonstration with the aim of discovering meaningful patterns to assist facility managers in strategic planning and provide a knowledge base to help shape future requirements and design briefing. Utilising the prototype system developed here, positive and interesting results regarding patterns and structures of data have been obtained.

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Entrepreneurship and innovation make significant contributions to the success of firms and both notions are often linked directly or indirectly to notions of creativity and more recently design (Drucker, 1985; Kelley, 2001; Nystrom, 1993). This theoretical paper investigates the processes involved in entrepreneurship, creativity and design and identifies key processes relevant to entrepreneurial practice.

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Folio submission is universally regarded as the most appropriate means for measuring a student’s performance in the studio. However, developing meaningful and defensible assessment criteria is persistent challenge for all tertiary art educators. In discipline-based studios, the parameters provided by medium and technique provide useful points of reference for assessing creative performance. But how can student performance be evaluated when there is no discipline-based framework to act as a point of reference? The ‘open’ studio approach to undergraduate teaching presents these and other pedagogical challenges. This paper discusses the innovative approaches to studio-based teaching and assessment at QUT. Vital to the QUT open studio model is the studio rationale – an exegetical document that establishes an individualised theoretical framework through which a student’s understandings can be, in part, evaluated. This paper argues that the exegetical folio effectively reconciles the frequently divergent imperatives of creative, professional and academic skills, while retaining the centrality of the studio as a site for the production of new material, processual and conceptual understandings.

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Cold-formed steel members have been widely used in residential, industrial and commercial buildings as primary load bearing structural elements and non-load bearing structural elements (partitions) due to their advantages such as higher strength to weight ratio over the other structural materials such as hot-rolled steel, timber and concrete. Cold-formed steel members are often made from thin steel sheets and hence they are more susceptible to various buckling modes. Generally short columns are susceptible to local or distortional buckling while long columns to flexural or flexural-torsional buckling. Fire safety design of building structures is an essential requirement as fire events can cause loss of property and lives. Therefore it is essential to understand the fire performance of light gauge cold-formed steel structures under fire conditions. The buckling behaviour of cold-formed steel compression members under fire conditions is not well investigated yet and hence there is a lack of knowledge on the fire performance of cold-formed steel compression members. Current cold-formed steel design standards do not provide adequate design guidelines for the fire design of cold-formed steel compression members. Therefore a research project based on extensive experimental and numerical studies was undertaken at the Queensland University of Technology to investigate the buckling behaviour of light gauge cold-formed steel compression members under simulated fire conditions. As the first phase of this research, a detailed review was undertaken on the mechanical properties of light gauge cold-formed steels at elevated temperatures and the most reliable predictive models for mechanical properties and stress-strain models based on detailed experimental investigations were identified. Their accuracy was verified experimentally by carrying out a series of tensile coupon tests at ambient and elevated temperatures. As the second phase of this research, local buckling behaviour was investigated based on the experimental and numerical investigations at ambient and elevated temperatures. First a series of 91 local buckling tests was carried out at ambient and elevated temperatures on lipped and unlipped channels made of G250-0.95, G550-0.95, G250-1.95 and G450-1.90 cold-formed steels. Suitable finite element models were then developed to simulate the experimental conditions. These models were converted to ideal finite element models to undertake detailed parametric study. Finally all the ultimate load capacity results for local buckling were compared with the available design methods based on AS/NZS 4600, BS 5950 Part 5, Eurocode 3 Part 1.2 and the direct strength method (DSM), and suitable recommendations were made for the fire design of cold-formed steel compression members subject to local buckling. As the third phase of this research, flexural-torsional buckling behaviour was investigated experimentally and numerically. Two series of 39 flexural-torsional buckling tests were undertaken at ambient and elevated temperatures. The first series consisted 2800 mm long columns of G550-0.95, G250-1.95 and G450-1.90 cold-formed steel lipped channel columns while the second series contained 1800 mm long lipped channel columns of the same steel thickness and strength grades. All the experimental tests were simulated using a suitable finite element model, and the same model was used in a detailed parametric study following validation. Based on the comparison of results from the experimental and parametric studies with the available design methods, suitable design recommendations were made. This thesis presents a detailed description of the experimental and numerical studies undertaken on the mechanical properties and the local and flexural-torsional bucking behaviour of cold-formed steel compression member at ambient and elevated temperatures. It also describes the currently available ambient temperature design methods and their accuracy when used for fire design with appropriately reduced mechanical properties at elevated temperatures. Available fire design methods are also included and their accuracy in predicting the ultimate load capacity at elevated temperatures was investigated. This research has shown that the current ambient temperature design methods are capable of predicting the local and flexural-torsional buckling capacities of cold-formed steel compression members at elevated temperatures with the use of reduced mechanical properties. However, the elevated temperature design method in Eurocode 3 Part 1.2 is overly conservative and hence unsuitable, particularly in the case of flexural-torsional buckling at elevated temperatures.