33 resultados para XCModel, cad 3d 2d, computer graphic, 64 bit porting, migrazione, analisi statica, metodi formali, modellazione resa rendering

em Deakin Research Online - Australia


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This paper furthers the research of Rollo, Luther and Atkinson 1999, and Rollo, Honey, Atkinson and Luther 2003, regarding the way in which building shape appears to contribute to the collection of fire-brand debris subject to ember attack. The paper will present a range of 2D fluid-mapping and 3D wind tunnel studies (Melaragno 1982) which have been correlated with the transportation characteristics of an ember laden air-field (Cheney and Sullivan 1997). Working with a range of generic building types the paper also introduces simple spatial modelling techniques which are being developed to illustrate the relationship between ember capture and changes in wind speed and air pressure.

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Computer display height and desk design to allow forearm support are two critical design features of workstations for information technology tasks. However there is currently no 3D description of head and neck posture with different computer display heights and no direct comparison to paper based information technology tasks. There is also inconsistent evidence on the effect of forearm support on posture and no evidence on whether these features interact. This study compared the 3D head, neck and upper limb postures of 18 male and 18 female young adults whilst working with different display and desk design conditions. There was no substantial interaction between display height and desk design. Lower display heights increased head and neck flexion with more spinal asymmetry when working with paper. The curved desk, designed to provide forearm support, increased scapula elevation/protraction and shoulder flexion/abduction.

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This paper reviews the technical features and requirements of Building Information Modelling (BIM)-servers as collaboration platforms for multi-disciplinary building and construction projects. Multi-disciplinary collaboration is the norm in the Architecture, Engineering, and Construction (AEC) industries, especially in complex projects. The widespread adoption of object-oriented Computer-aided Design (CAD) tools that support BIM capabilities has generated greater interest in model based exchange of information across disciplines and consultants who have traditionally collaborated through the frequent exchange of 2D drawings and documents. BIM-servers are collaboration platforms that are expected to provide the technical capability to support this inter-disciplinary exchange of 3D models in addition to intelligent management of the related drawings, documents and other forms of data. Since BIM-servers are a recent technical development a review of their technical features can help further development. This paper serves this objective by providing a review of the technical features and requirements for using BIM-servers as multi-disciplinary collaboration platforms on building and construction projects. The methodologies include focus group interviews (FIGs) with representatives from the diverse AEC disciplines, a case study on a state-of-the-art BIM-server, and a critical review and analysis of current collaboration platforms that are available to the AEC industries. This paper concludes that greater emphasis should be placed on supporting technical requirements to facilitate technology management and implementation across disciplines. Their implications for user-centric technology development in design and construction industry are also discussed.

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In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approach integrates sparse 3D scene background modelling and dense 2D image background modelling into a unified framework. The 3D scene background modelling identifies inconsistent clusters over time in a set of 3D cloud points as the scene changes. The 2D image background modelling further confirms the scene changes by finding inconsistent appearances in a set of aligned images using the classical MRF background subtraction technique. We evaluate the performance of our proposed system on a number of challenging video datasets obtained from a camera placed on a moving vehicle and the experiments show that our proposed method outperforms previous works in scene change detection, which suggested the feasibility of our approach.

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Abstract:-Global language and cultural communicative competency is an ever increasing requirement in our connected world. Learners of Arabic at the only five Australian universities where Arabic is taught have access to predominantly on-campus delivery modes. One of the main challenges learners face when learning another language (L2) in an academic setting in countries where that language is not actively used – so little L2 exposure – is that it is harder to provide meaningful contexts for learning. This restriction in L2 exposure in the formal academic framework is due to the limited face-to-face learning time and, more significantly, is compounded by lack of exposure to the language‟s authentic use settings. Students are often isolated from the target language‟s authentic discourse communities and native speakers. This situation is exacerbated for Cloud (online) students, studying in relative isolation. All of these factors make developing communicative oral fluency in Modern Standard Arabic (MSA) moredifficult and challenging for many learners. This paper will discuss two innovative approaches used at Deakin University in Melbourne, Australia to enable learners of Arabic at Deakin University to practice their developing skills by listening, practising, and experiencing directly how the language is used outside the classroom boundaries as well as allow learners to develop their oral and cultural communicative competency by engaging them in simulating and evolving authentic language scenarios with native Arabic speakers through the Virtual World (VW).

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A vision based approach for calculating accurate 3D models of the objects is presented. Generally industrial visual inspection systems capable of accurate 3D depth estimation rely on extra hardware tools like laser scanners or light pattern projectors. These tools improve the accuracy of depth estimation but also make the vision system costly and cumbersome. In the proposed algorithm, depth and dimensional accuracy of the produced 3D depth model depends on the existing reference model instead of the information from extra hardware tools. The proposed algorithm is a simple and cost effective software based approach to achieve accurate 3D depth estimation with minimal hardware involvement. The matching process uses the well-known coarse to fine strategy, involving the calculation of matching points at the coarsest level with consequent refinement up to the finest level. Vector coefficients of the wavelet transform-modulus are used as matching features, where wavelet transform-modulus maxima defines the shift invariant high-level features with phase pointing to the normal of the feature surface. The technique addresses the estimation of optimal corresponding points and the corresponding 2D disparity maps leading to the creation of accurate depth perception model.


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In this paper, spherical harmonics are proposed as shape descriptors for 2D images. We introduce the concept of connectivity; 2D images are decomposed using connectivity, which is followed by 3D model construction. Spherical harmonics are obtained for 3D models and used as descriptors for the underlying 2D shapes. Difference between two images is computed as the Euclidean distance between their spherical harmonics descriptors. Experiments are performed to test the effectiveness of spherical harmonics for retrieval of 2D images. Item S8 within the MPEG-7 still images content set is used for performing experiments; this dataset consists of 3621 still images. Experimental results show that the proposed descriptors for 2D images are effective

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One of the problems faced by Australian academics in the 21st century is to facilitate learning with a changing profile of students, in bigger and bigger classes. As educators at tertiary institutions, our environment is undergoing major changes as increasingly business and commerce programs are offering courses either partially (Web enabled) or totally (Web exclusive) online. This study has developed an important model allowing the prediction of students' overall results and indicates that a student's final grade is dependant, in part, on accessing the study materials and study tools available to them via WebCT and attending face-to-face tutorials.

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In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skeleton from various 3D objects aiming at preserving the topological information. The 3D Thinning algorithm was testified on computer-generated and real 3D reconstructed image sets acquired from TEMT and compared with other existing 3D Thinning algorithms. It is found that the algorithm has conserved medial axes and simultaneously topologies very well, demonstrating many advantages over the existing technologies. They are versatile, rigorous, efficient and rotation invariant.

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We present a case study of scanning 3D objects for the purposes of education and public information. We begin by describing the original design of a 3D scanning system now in use in Cairo’s Egyptian Museum. The system captures both the geometry and surface color and detail of museum artifacts. We report on the experience using the system in the museum setting, and how practical problems with the system were addressed. We present samples of how the processed 3D data will be used on a web site designed to communicate Egyptian culture.We present a case study of scanning 3D objects for the purposes of education and public information. We begin by describing the original design of a 3D scanning system now in use in Cairo’s Egyptian Museum. The system captures both the geometry and surface color and detail of museum artifacts. We report on the experience using the system in the museum setting, and how practical problems with the system were addressed. We present samples of how the processed 3D data will be used on a web site designed to communicate Egyptian culture.

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A complete and highly robust 3D reconstruction algorithm based on stereo vision is presented. The developed system is capable of reconstructing dimensionally accurate 3D models of the objects and is very simple and cost effective due to its prominent software dependency and minimal hardware involvevment unlike existing systems.

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The goal of this research is to develop a computer aided diagnostic (CAD) system that can detect breast cancer in the early stage by using microarray and image data. We verified the performance of six well known classification algorithms with various performance matrices. Although we do not suggest a unique classifier algorithm for a CAD system, we do identify a number of algorithms whose performance is very promising. The algorithms performance was validated by 3 images dataset; two have been used for the first time in this experiment. Multidimensional image filtering is adopted for the final data extraction. The image data classification performance is compared with microarray data. Results suggest the most effective means of breast cancer identification in the early stage is a hybrid approach.

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This paper describes and discusses the aims and practicalities involed in the computer modelling of contentious development applications becoming accepted as a routine part of the processes of development control.  It uses three case studies frawn from the University of Adelaide's work with the City of Adelaide in Australia to delineate the role of 3D computer models of proposed new buildings and their immediate surroundings in the public understanding of the streetscape, neighbourhood context, overshadowing and overlooking implications of the proposals.