66 resultados para Computer-Aided Design


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Risk analysis is one of the critical functions of the risk management process. It relies on a detailed understanding of risks and their possible implications. Construction projects, because of their large and complex nature, are plagued by a variety of risks which must be considered and responded to in order to ensure project success. This study conducts an extensive comparative analysis of major quantitative risk analysis techniques in the construction industry. The techniques discussed and comparatively analyzed in this report include: Programme Evaluation and Review Technique (PERT), Judgmental Risk Analysis Process (JRAP), Estimating Using Risk Analysis (ERA), Monte Carlo Simulation technique, Computer Aided Simulation for Project Appraisal and Review (CASPAR), Failure Modes and Effects Analysis technique (FMEA) and Advanced Programmatic Risk Analysis and Management model (APRAM). The findings highlight the fact that each risk analysis technique addresses risks in any or all of the following areas – schedule risks, budget risks or technical risks. Through comparative analysis, it has been revealed that a majority of risk analysis techniques focus on schedule or budget risks. Very little has been documented in terms of technical risk analysis techniques. In an era where clients are demanding and expecting higher quality projects and finishes, project managers must endeavor to invest time and resources to ensure that the few existing technical risk analysis techniques are developed and further refined, and that new technical risk analysis techniques are developed to suit the current construction industries requirements.

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Panic Online (PO) is a well-established evidence-based internet intervention program for panic disorder (PD) (with or without agoraphobia), when supported by a therapist (email or face-to-face). However, there has been no exploration to date as to whether PO is also effective when administered in a self-guided format (i.e. with no therapist assistance provided). The objective of this pilot trial was to examine whether PO as a self-guided program was effective at reducing panic symptomatology and furthermore, whether participants found the program format satisfactory. Pre- and post-treatment clinical interviews were conducted by telephone with six participants and experience of using the self-guided PO program was also explored. Paired samples t-tests revealed that PD and agoraphobia were significantly reduced by post-treatment, but panic frequency (over the previous month) did not significantly change. Qualitatively, all participants reported being satisfied with the program, however all participants reported that access to human support during the intervention (e.g. to answer questions, to be heard, to help motivate) was preferable. Initial pilot data suggests that PO self-guided works effectively as a stand-alone clinical internet-based treatment program for PD, however additional research is required to definitively establish its efficacy.

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This paper acknowledges the new educational possibilities provided by the Internet, as well as identifying its current limitations as an educational medium. Issues of concern in using the Internet include equity and access, infrastructure considerations, intellectual property, development methodologies, implications for the delivery and administration of education, and the relationship between the Internet and other new media in education, including audio/video tapes, computer aided learning software, videoconferencing and CD-ROM. While the Internet offers valuable opportunities to enhance all modes of teaching and learning, and it is likely that most of the current limitations of the Internet in this regard will be overcome in time, those developers currently pursuing or investigating the Internet as a teaching resource should be aware of the potential difficulties. This paper draws on the experiences of the author in conventional and distance university teaching, and in using the Internet as an aid to teaching and learning in engineering and technology, but the issues addressed apply generally to those using the Internet in education.

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My doctoral research studies Australian PLT practitioners’ engagement with scholarship of teaching and learning. I argue that many PLT practitioners are motivated to engage with scholarship of teaching and learning in their work. There are, however, individual and extra-individual impediments.
PLT practitioners are lawyers that teach in institutional practical legal training (“PLT”). Satisfactory completion of mandatory PLT is an eligibility requirement for admission to the Australian legal profession. The PLT requirement is additional to academic legal qualifications. PLT is undertaken at a post-graduate level with, or after, the academic law degree.
My study investigates PLT practitioners’ motivations and capabilities to engage with scholarship of teaching and learning (“SoTL”). I study organisational symbolic support for SoTL in PLT, and organisational allocation of resources to SoTL in PLT.
The study involves individual and extra-individual domains of PLT practitioners’ work. It considers how social structures (e.g. “the juridical”) are inscribed into individuals’ practices (“teaching”) and, conversely, whether practices influence social structures.
My research adopts qualitative methodologies. These involve inter-disciplinary exchanges between law, legal education, practice research, sociology of law, cultural theory, and theory and practice of teaching and learning. My theoretical framework draws on Pierre Bourdieu’s “reflexive sociology”, and Michel de Certeau’s “heterological science”.
I sourced data from documents, and semi-structured interviews with 36 Australian PLT practitioners. Documentary sources include statutory instruments, speeches, reports, practice directions, histories, and scholarly publications.
To analyse the data I adopted Kelle’s characterisation of “theoretical sensitivity”, drawing on “explicit” and “emergent” analysis strategies derived from “grounded theory”. The explicit strategies were based on my theoretical framework. The emergent strategy involved sensitivity to non-explicit concepts and theories that emerged from the data. Computer-aided qualitative data analysis software expedited these methods.
My findings to date question dominant legal structures’ readiness for change, the implications of this for teaching and learning in PLT, and in particular for PLT practitioners’ engagement with SoTL in PLT.
The espoused rationale for mandatory PLT (in statutes) is improvement for the protection of clients, the administration of justice, and to assure quality legal services. The tacit rationale is improved quality of legal education, and experiences, for lawyers-to-be. My thesis argues dominant structures in legal education impede the espoused and tacit objectives, and impede PLT practitioners’ engagement with scholarship of teaching and learning.

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Increasing use of commercial off-the-shelf Mini-Micro Unmanned Aerial Vehicle (MAV) systems with enhanced intelligence methodologies can potentially be a threat, if this technology falls into the wrong hands. In this study, we investigate the level of threat imposed on critical infrastructure using different MAV swarm artificial intelligence traits and coordination methodologies. The critical infrastructure in consideration is a moving commercial land vehicle that may be transporting for example an important civil servant or politician. Non-dimensional fitness functions used for measuring MAV mission effectiveness have been established for the case studies considered in this paper. The findings indicated that increased in intelligent and coordination level elevate teams' efficiency, therefore poses a higher degree of threat to targeted land vehicle. Observations from the study have suggested that memory-based cooperative technique provides a consistent efficiency compared to other methods for the mission objectives considered in this paper. © 2014 The authors and IOS Press. All rights reserved.

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Lung segmentation in thoracic computed tomography (CT) scans is an important preprocessing step for computer-aided diagnosis (CAD) of lung diseases. This paper focuses on the segmentation of the lung field in thoracic CT images. Traditional lung segmentation is based on Gray level thresholding techniques, which often requires setting a threshold and is sensitive to image contrasts. In this paper, we present a fully automated method for robust and accurate lung segmentation, which includes a enhanced thresholding algorithm and a refinement scheme based on a texture-aware active contour model. In our thresholding algorithm, a histogram based image stretch technique is performed in advance to uniformly increase contrasts between areas with low Hounsfield unit (HU) values and areas with high HU in all CT images. This stretch step enables the following threshold-free segmentation, which is the Otsu algorithm with contour analysis. However, as a threshold based segmentation, it has common issues such as holes, noises and inaccurate segmentation boundaries that will cause problems in future CAD for lung disease detection. To solve these problems, a refinement technique is proposed that captures vessel structures and lung boundaries and then smooths variations via texture-aware active contour model. Experiments on 2,342 diagnosis CT images demonstrate the effectiveness of the proposed method. Performance comparison with existing methods shows the advantages of our method.