446 research outputs found
Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results
Full text linkAvailable online 27 February 2017Rolling dynamic compaction (RDC), which involves the towing of a noncircular module, is now widespread and accepted among many other soil compaction methods. However, to date, there is no accurate method for reliable prediction of the densification of soil and the extent of ground improvement by means of RDC. This study presents the application of artificial neural networks (ANNs) for a priori prediction of the effectiveness of RDC. The models are trained with in situ dynamic cone penetration (DCP) test data obtained from previous civil projects associated with the 4-sided impact roller. The predictions from the ANN models are in good agreement with the measured field data, as indicated by the model correlation coefficient of approximately 0.8. It is concluded that the ANN models developed in this study can be successfully employed to provide more accurate prediction of the performance of the RDC on a range of soil types.R.A.T.M. Ranasinghe, M.B. Jaksa, Y.L. Kuo, F. Pooya Neja
Multi-Rate Throughput Optimization with Fairness Constraints in Wireless Local Area Networks
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Convex functions on Grassmannian manifolds and Lawson–Osserman problem
No full textAbstractWe derive estimates of the Hessian of two smooth functions defined on Grassmannian manifold. Based on it, we can derive curvature estimates for minimal submanifolds in Euclidean space via Gauss map as in [Y.L. Xin, Ling Yang, Curvature estimates for minimal submanifolds of higher codimension, arXiv: 0709.3686; 24]. In this way, the result for Bernstein type theorem done by Jost and the first author could be improved
Multi-Rate Throughput Optimization with Fairness Constraints in Wireless Local Area Networks
No full textIdentifying areas susceptible to high risk of riverbank collapse along the Lower River Murray
No full textRiverbank collapse is a natural phenomenon in the evolution of rivers. Along the lower reaches of the River Murray, from downstream of East Front Road to the town of Wellington in South Australia, there were more than 100 riverbank collapse-related incidents reported between 2005 and 2010 in the forms of mass riverbank collapse, erosion, cracking, riparian tree leaning or collapse, as well as levee-related problems. The River Murray is the largest river in Australia. The objective of this paper is to develop a topographically-based framework that can be used, prior to undertaking detailed cross-sectional modeling or site investigation, to identify high risk areas susceptible to riverbank collapse over extensive reaches of the river. The proposed framework is based on the results of numerical analyses that have been undertaken using an integration of several approaches, which includes slope stability analysis using the limit equilibrium method with the assumption of a steady-state condition, identifying the actual locations of previously known riverbank collapse sites through the visual interpretation of historical, high-resolution aerial images, topography mapping using digital elevation models and a geographic information system, and interpretation of field and laboratory test results for model construction and geological and soil stratigraphy mapping. Back-analyses were used to estimate the likely in situ shear strength at the historical collapse sites. The results from the back-analyses were compared with those from field and laboratory testing. A total of 69 numerical analyses were undertaken at three different regions along the Lower River Murray, to identify the factors influencing the stability of the riverbank. Finally, cross-validation was used to measure the predictive performance of the proposed framework. This paper has demonstrated the efficacy of the proposed predicting framework as a useful and reliable tool for riverbank collapse hazard mapping.C. Liang, M.B. Jaksa, Y.L. Kuo, B. Ostendor
MEASUREMENT OF GP130 CYTOKINES – ONCOSTATIN M AND IL-6 IN GINGIVAL CREVICULAR FLUID OF PATIENTS WITH CHRONIC PERIODONTITIS
No full textThe use of moisture probes to infer changes in suction due to controlled inundation behind a full scale trial retaining wall
No full textOrganizer: The Hong Kong University of Science and Technology (HKUST)To better understand the behaviour of unsaturated clays for retaining wall design in Adelaide, South Australia, a trial soldier pile retaining wall supporting an 8 m deep excavation was constructed for a proposed 3 km long underpass. The full scale trial retaining wall was constructed prior to the start of summer to allow the soil to shrink over an extended dry period, typical of an Adelaide summer. At the end of summer, the soil was wetted up via a controlled inundation program that replicated a pipe burst or leaking water main, critical considerations for retaining wall design. As part of an extensive testing and monitoring program, in situ moisture probes were used to quantify the change in soil moisture content before, during and after inundation. This paper presents a practical means to estimate soil suction based on the calibration of moisture probe data and the use of a site specific soil-water characteristic curve. Limitations of using moisture probes to infer suction are discussed, with suggestions provided for the future use of similar moisture probes in very stiff to
hard clay soils as encountered on this site.B.T. Scott, S.A. Desa, Y.L. Kuo, K. Farries, M.B. Jaksa, J.A. Woodburn, R.A. Herrama
Correction to: A Siamese transformer network for zero-shot ancient coin classification (Journal of Imaging, (2023), 9, 6, (107)
No full textJochen Büttner was not included as an author in the original publication [1]. The corrected Author Contributions statement appears here. Author Contributions: Conceptualization, J.B. (Siamese structure), Z.G. and O.A. (transformer components); methodology, Z.G., O.A. and Y.L.; software, Z.G. and Y.L.; investigation, Z.G. and D.R.; resources, Z.G. and O.A.; data curation, O.A.; writing—original draft preparation, Z.G., O.A., D.R. and Y.L.; writing—review and editing, Z.G. and O.A.; visualization, Z.G.; supervision, O.A.; project administration, O.A.; after initial publication, J.B. has agreed to be added as a co-author. All authors have read and agreed to the published version of the manuscript. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.</p
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