128 resultados para HDR


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The paper details the results of the first phase of an on-going research into the sociocultural factors that influence the supervision of higher degrees research (HDR) engineering students in the Faculty of Built Environment and Engineering (BEE) and Faculty of Science and Technology (FaST) at Queensland University of Technology. A quantitative analysis was performed on the results from an online survey that was administered to 179 engineering students. The study reveals that cultural barriers impact their progression and developing confidence in their research programs. We argue that in order to assist international and non-English speaking background (NESB) research students to triumph over such culturally embedded challenges in engineering research, it is important for supervisors to understand this cohort's unique pedagogical needs and develop intercultural sensitivity in their pedagogical practice in postgraduate research supervision. To facilitate this, the governing body (Office of Research) can play a vital role in not only creating the required support structures but also their uniform implementation across the board.

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In Australia, as elsewhere, universities are being encouraged to grow their postgraduate research candidature base while at the same time there is increasing pressure on resources with which to manage the burgeoning groups. In this environment HDR supervision strategies are seen as increasingly important as research managers seek the best possible ‘fit’ for an applicant: the candidate who will provide a sound return on investment and demonstrate endurance in the pursuit of a timely completion. As research managers know, the admissions process can be a risky business. The process may be tested further in the context of the new models of doctoral cohort supervision that are being discussed in the higher degree research management sector. The focus of this paper is an examination of the results of investigations of two models of postgraduate cohort supervision in the creative arts Master of Arts research program at QUT with a view to identifying attributes that may be useful for the formation of cohort models of supervision in the doctoral area.

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The Geothermal industry in Australia and Queensland is in its infancy and for hot dry rock (HDR) geothermal energy, it is very much in the target identification and resource definition stages. As a key effort to assist the geothermal industry and exploration for HDR in Queensland, we are developing a comprehensive and new integrated geochemical and geochronological database on igneous rocks. To date, around 18,000 igneous rocks have been analysed across Queensland for chemical and/or age information. However, these data currently reside in a number of disparate datasets (e.g., Ozchron, Champion et al., 2007, Geological Survey of Queensland, journal publications, and unpublished university theses). The goal of this project is to collate and integrate these data on Queensland igneous rocks to improve our understanding of high heat producing granites in Queensland, in terms of their distribution (particularly in the subsurface), dimensions, ages, and controlling factors in their genesis.

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In this paper, we explore a novel idea of using high dynamic range (HDR) technology for uncertainty visualization. We focus on scalar volumetric data sets where every data point is associated with scalar uncertainty. We design a transfer function that maps each data point to a color in HDR space. The luminance component of the color is exploited to capture uncertainty. We modify existing tone mapping techniques and suitably integrate them with volume ray casting to obtain a low dynamic range (LDR) image. The resulting image is displayed on a conventional 8-bits-per-channel display device. The usage of HDR mapping reveals fine details in uncertainty distribution and enables the users to interactively study the data in the context of corresponding uncertainty information. We demonstrate the utility of our method and evaluate the results using data sets from ocean modeling.

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Estimation and detection of the hemodynamic response (HDR) are of great importance in functional MRI (fMRI) data analysis. In this paper, we propose the use of three H 8 adaptive filters (finite memory, exponentially weighted, and time-varying) for accurate estimation and detection of the HDR. The H 8 approach is used because it safeguards against the worst case disturbances and makes no assumptions on the (statistical) nature of the signals [B. Hassibi and T. Kailath, in Proc. ICASSP, 1995, vol. 2, pp. 949-952; T. Ratnarajah and S. Puthusserypady, in Proc. 8th IEEE Workshop DSP, 1998, pp. 1483-1487]. Performances of the proposed techniques are compared to the conventional t-test method as well as the well-known LMSs and recursive least squares algorithms. Extensive numerical simulations show that the proposed methods result in better HDR estimations and activation detections.

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Tesis (Maestría en Ciencias con Especialidad en Ingeniería Química) U.A.N.L.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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BACKGROUND AND PURPOSE: This is the first study investigating neoadjuvant interstitial high-dose-rate (HDR) brachytherapy combined with chemotherapy in patients with breast cancer. The goal was to evaluate the type of surgical treatment, histopathologic response, side effects, local control, and survival. PATIENTS AND METHODS: 53 patients, who could not be treated with breast-conserving surgery due to initial tumor size (36/53) or due to an unfavorable breast-tumor ratio (17/53), were analyzed retrospectively. All but one were in an intermediate/high-risk group (St. Gallen criteria). The patients received a neoadjuvant protocol consisting of systemic chemotherapy combined with fractionated HDR brachytherapy (2 x 5 Gy/day, total dose 30 Gy). In cases, where breast-conserving surgery was performed, patients received additional external-beam radiotherapy (EBRT, 1.8 Gy/day, total dose 50.4 Gy). In patients, who underwent mastectomy but showed an initial tumor size of T3/T4 and/or more than three infiltrated lymph nodes, EBRT was also performed. RESULTS: In 30/53 patients (56.6%) breast-conserving surgery could be performed. The overall histopathologic response rate was 96.2% with a complete remission in 28.3% of patients. 49/53 patients were evaluable for follow-up. After a median of 58 months (45-72 months), one patient showed a mild fibrosis of the breast tissue, three patients had mild to moderate lymphatic edema of the arm. 6/49 (12.2%) patients died of distant metastases, 4/49 (8.2%) were alive with disease, and 39/49 (79.6%) were free from disease. Local recurrence was observed in only one case (2%) 40 months after primary therapy. After mastectomy, this patient is currently free from disease. CONCLUSION: The combination of interstitial HDR brachytherapy and chemotherapy is a well-tolerated and effective neoadjuvant treatment in patients with breast cancer. Compared to EBRT, treatment time is short. Postoperative EBRT of the whole breast -- if necessary -- is still possible after neoadjuvant brachytherapy. Even though the number of patients does not permit definite conclusions, the results are promising regarding survival and the very low rate of local recurrences.

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Adding virtual objects to real environments plays an important role in todays computer graphics: Typical examples are virtual furniture in a real room and virtual characters in real movies. For a believable appearance, consistent lighting of the virtual objects is required. We present an augmented reality system that displays virtual objects with consistent illumination and shadows in the image of a simple webcam. We use two high dynamic range video cameras with fisheye lenses permanently recording the environment illumination. A sampling algorithm selects a few bright parts in one of the wide angle images and the corresponding points in the second camera image. The 3D position can then be calculated using epipolar geometry. Finally, the selected point lights are used in a multi pass algorithm to draw the virtual object with shadows. To validate our approach, we compare the appearance and shadows of the synthetic objects with real objects.

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Exposure Fusion and other HDR techniques generate well-exposed images from a bracketed image sequence while reproducing a large dynamic range that far exceeds the dynamic range of a single exposure. Common to all these techniques is the problem that the smallest movements in the captured images generate artefacts (ghosting) that dramatically affect the quality of the final images. This limits the use of HDR and Exposure Fusion techniques because common scenes of interest are usually dynamic. We present a method that adapts Exposure Fusion, as well as standard HDR techniques, to allow for dynamic scene without introducing artefacts. Our method detects clusters of moving pixels within a bracketed exposure sequence with simple binary operations. We show that the proposed technique is able to deal with a large amount of movement in the scene and different movement configurations. The result is a ghost-free and highly detailed exposure fused image at a low computational cost.

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This work aimed to create a mailable and OSLD-based phantom with accuracy suitable for RPC audits of HDR brachytherapy sources at institutions participating in NCI-funded cooperative clinical trials. An 8 × 8 × 10 cm3 prototype with two slots capable of holding nanoDot Al2O3:C OSL dosimeters (Landauer, Glenwood, IL) was designed and built. The phantom has a single channel capable of accepting all 192Ir HDR brachytherapy sources in current clinical use in the United States. Irradiations were performed with an 192Ir HDR source to determine correction factors for linearity with dose, dose rate, and the combined effect of irradiation energy and phantom construction. The uncertainties introduced by source positioning in the phantom and timer resolution limitations were also investigated. It was found that the linearity correction factor was where dose is in cGy, which differed from that determined by the RPC for the same batch of dosimeters under 60Co irradiation. There was no significant dose rate effect. Separate energy+block correction factors were determined for both models of 192Ir sources currently in clinical use and these vendor-specific correction factors differed by almost 2.6%. For Nucletron sources, this correction factor was 1.026±0.004 (99% Confidence Interval) and for Varian sources it was 1.000±0.007 (99% CI). Reasonable deviations in source positioning within the phantom and the limited resolution of the source timer had insignificant effects on the ability to measure dose. Overall measurement uncertainty of the system was estimated to be ±2.5% for both Nucletron and Varian source audits (95% CI). This uncertainty was sufficient to establish a ±5% acceptance criterion for source strength audits under a formal RPC audit program. Trial audits of eight participating institutions resulted in an average RPC-to-institution dose ratio of 1.000 with a standard deviation of 0.011.

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This was a short presentation provided for the panel session on 'HDR' at CineFest16, which discusses/challenges some basic assumptions and questions about High Dynamic Range (HDR) movies.