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X-ORIGINAL-URL:https://news.eis.uow.edu.au
X-WR-CALDESC:Events for EIS News and Events
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TZID:Australia/Sydney
BEGIN:STANDARD
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
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DTSTART:20190406T160000
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DTSTART:20191005T160000
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BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T100000
DTEND;TZID=Australia/Sydney:20190613T110000
DTSTAMP:20191114T193845
CREATED:20190610T232228Z
LAST-MODIFIED:20190610T234603Z
UID:12636-1560420000-1560423600@news.eis.uow.edu.au
SUMMARY:SMART Seminar Series
DESCRIPTION:Presenter – Gian Paolo Cimellaro\nGIAN PAOLO CIMELLARO\n \nGian Paolo Cimellaro is currently an Associate Professor at the Politecnico di Torino. He has been recently Visiting Professor at the University of California\, Berkeley (2014-2016). He obtained his M.S. (2005) and Ph.D. (2008) from the University at Buffalo (SUNY) in USA. Graduated cum laude in Civil Engineering\, University of Rome La Sapienza\, 2001. He is the Chair of the SHMII Committee on Resilient Structures and Infrastructure (CORSI) of the International Society for structural Health Monitoring of Intelligent Infrastructures. He has been invited to 8 Keynote lectures and 30 seminars worldwide. He has authored 70 journal papers\, 154 conference papers\, 12 book chapters and 5 books. Research interests: community disaster resilience and sustainability to natural disasters. He has been awarded with a grant of 1.3 M € by the European Research Council for the project “IDEAL RESCUE – ERC-2014-StG. He is Editorial Board member of several ISI-journals. Selected awards: Fib Achievement Award for Young Engineers (2011); Seed Grant Award from the Siebel Energy Institute of UC Berkeley (2015)\, Best Presentation Award (2017) at SHMII8\, Brisbane. www.cimellaro.org \n \n\nOverview of the Research Activities of the Disaster Resilience Lab of the Politecnico Di Torino\nAbstract\nThe seminar gives an overview of the main research activities developed by the Disaster Resilience research group of the Politecnico di Torino. Quantifying resilience is one of the most challenging tasks due to the complexity involved in this multidisciplinary process. In the seminar\, a “community resilience” framework is proposed and few applications at different spatial scales are considered. Evacuation models from large-scale spaces such as malls\, museums\, while considering the effect of the human behavior and its emotions are developed together with the organizational models of the hospital Emergency Department. \nInterdependencies triggered by the debris between the built environment and the transportation network is also analyzed and applied to a virtual city to test different resilience strategies to limit losses and downtime. \nBuilding Information Modelling (BIM) is a methodology that is radically changing the construction sector and in this seminar it has been combined with SHM for seismic vulnerability assessment of school buildings. The problem of building evacuation due to fire with the use of virtual reality is also analyzed. \nFollowing the collapse of the Morandi Bridge in Italy in August 2018 an applied element model of the bridge has been realized and some considerations about the collapse of the Morandi bridge has been provided. The possibility to monitor the crack development using embedded fiber optic sensors and other monitor techniques such as digital image correlation are also presented. \nFinally\, the use of new information technologies to improve resilience and disaster management is also investigated showing a new sensor system to be used during emergencies to track victims indoor. \n\n
URL:https://news.eis.uow.edu.au/event/disaster-resilience-lab-of-the-politecnico-di-torino/
LOCATION:Building 6 Room 210\, University of Wollongong\, Wollongong\, Australia
CATEGORIES:SMART Infrastructure Facility
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ORGANIZER;CN="SMART%20Infrastructure%20Facility":MAILTO:smart-facility@uow.edu.au
GEO:-34.4045914;150.8798363
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T100000
DTEND;TZID=Australia/Sydney:20190712T120000
DTSTAMP:20191114T193845
CREATED:20190715T032702Z
LAST-MODIFIED:20190715T032702Z
UID:12844-1560420000-1562932800@news.eis.uow.edu.au
SUMMARY:Centre for Geometric Analysis Seminar Series
DESCRIPTION:Speaker\nProf Shinya Okabe (Tohoku University Japan) \nTitle\nThe obstacle problem for the elastic flow defined on the planar open curve \nAbstract\nIn this talk\, we consider the elastic flow defined on planar graphed curves with obstacle. Formally the problem is regarded as the L^2-gradient flow for the elastic energy with obstacle constraint. However\, due to the obstacle constraint\, it is not so clear that solutions to the obstacle problem have a gradient structure for the elastic energy. In this talk\, we prove the existence of local-in-time weak solutions via minimizing movements. Moreover\, we show a gradient structure of the elastic energy of the weak solutions.This talk is based on a joint work with Kensuke Yoshizawa of Tohoku University. \n\nSpeaker\nProf Tatsuya Miura (Tokyo Institute of Technology Japan) \nTitle\nRigidity results for optimal elastic curves via a geometric approach \nAbstract\nIn this talk we study elastic curves\, which are critical points of bending energy. In general there may be (infinitely) many critical points for a given boundary condition\, and hence in order to detect local or global minimizers we usually need to calculate the second variation or compare their energy. The goal of this talk is to introduce our new geometric approach that bypasses calculation of the second variation but implies several necessary conditions on critical points for being locally or globally optimal. Our method not only retrieves Sachkov’s results for planar elasticae\, but also can be applied to more general problems\, e.g. spatial elastic curves. \n
URL:https://news.eis.uow.edu.au/event/the-obstacle-problem-for-the-elastic-flow-defined-on-the-planar-open-curve/
LOCATION:Building 39A Room 208\, University of Wollongong\, Wollongong\, NSW\, Australia
CATEGORIES:Centre for Geometric Analysis,School of Mathematics and Applied Statistics
ATTACH;FMTTYPE=image/jpeg:https://news.eis.uow.edu.au/wp-content/uploads/2017/12/geometric-analysis-seminar.jpg
ORGANIZER;CN="Centre%20for%20Geometric%20Analysis":MAILTO:vwheeler@uow.edu.au
GEO:-34.4054039;150.87843
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Building 39A Room 208 University of Wollongong Wollongong NSW Australia;X-APPLE-RADIUS=500;X-TITLE=University of Wollongong:geo:150.87843,-34.4054039
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T103000
DTEND;TZID=Australia/Sydney:20190613T113000
DTSTAMP:20191114T193845
CREATED:20190610T225139Z
LAST-MODIFIED:20190610T225139Z
UID:12632-1560421800-1560425400@news.eis.uow.edu.au
SUMMARY:Centre for Geometric Analysis Seminar Series
DESCRIPTION:\nSpeaker\nDr Philip Schrader (UWA) \n\n\n\nTitle\nGradient flows of length\nAbstract\nThe classical curve shortening flow is a length gradient flow which evolves planar curves in the (negative) normal direction proportional to curvature. To define a gradient flow of the length requires a Riemannian metric on the space of curves and in the case of the curve shortening flow the metric is an invariant L^2 metric. The space of curves being infinite dimensional\, not all Riemmanian metrics are equivalent\, and in fact it was proved by Michor and Mumford that the L^2 metric gives a trivial distance. In this talk I will explain Michor and Mumford’s proof\, and present some results from investigating the length gradient flow associated with an H^1 metric on the space of curves (joint work with G. Wheeler and V.M. Wheeler).\n\n
URL:https://news.eis.uow.edu.au/event/gradient-flows-of-length/
LOCATION:Building 39C Room 174\, University of Wollongong\, Wollongong\, 2500
CATEGORIES:Centre for Geometric Analysis,School of Mathematics and Applied Statistics
ATTACH;FMTTYPE=image/jpeg:https://news.eis.uow.edu.au/wp-content/uploads/2017/12/geometric-analysis-seminar.jpg
ORGANIZER;CN="Centre%20for%20Geometric%20Analysis":MAILTO:vwheeler@uow.edu.au
GEO:-34.408162;150.8784346
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Building 39C Room 174 University of Wollongong Wollongong 2500;X-APPLE-RADIUS=500;X-TITLE=University of Wollongong:geo:150.8784346,-34.408162
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T110000
DTEND;TZID=Australia/Sydney:20190613T120000
DTSTAMP:20191114T193845
CREATED:20190607T032608Z
LAST-MODIFIED:20190607T032608Z
UID:12613-1560423600-1560427200@news.eis.uow.edu.au
SUMMARY:SECTE Research Seminar
DESCRIPTION:Title\nRandom Access for Machine-type Communications \nSpeaker\nProfessor Jinhong Yuan (IEEE Fellow\, Professor and Head of Telecommunications\, UNSW) \nAbstract\nIn this work\, we propose the user activity identification/channel estimation algorithm and design the efficient random access scheme for massive machine-type communications. \nIn the first part\, we propose a transmission control scheme and design an approximate message passing (AMP) algorithm for the joint user identification and channel estimation (JUICE) in massive machine-type communications. By employing a step transmission control function for the proposed scheme\, we derive the channel distribution experienced by the receiver to describe the effect of the transmission control on the design of AMP algorithm. Based on that\, we design an AMP algorithm by proposing a minimum mean squared error (MMSE) denoiser\, to jointly identify the user activity and estimate their channels. We further derive the false alarm and miss detection probabilities to characterize the user identification performance of the proposed scheme. Furthermore\, we optimize the transmission control function to maximize the network throughput. We then propose a deep learning aided list AMP algorithm to further improve the user identification performance. A neural network is employed to identify a suspicious device which is most likely to be falsely alarmed during the first round of the AMP algorithm. We propose to enforce the suspicious device to be inactive in every iteration of the AMP algorithm in the second round. The proposed scheme can effectively combat the interference caused by the suspicious device and thus improve the user identification performance. \nIn the second part\, we investigate the design and analysis of coded slotted ALOHA (CSA) schemes for massive machine-type communications in the presence of channel erasure. We design the code probability distributions for CSA schemes with repetition codes and maximum distance separable codes to maximize the expected traffic load\, under both packet erasure channels and slot erasure channels. By optimizing the convergence behaviour of the derived EXIT functions\, the code probability distributions to achieve the maximum expected traffic load are obtained. Then\, we derive the asymptotic throughput of CSA schemes over erasure channels. \nBiography\nJinhong Yuan (M’02–SM’11–F’16) received the B.E. and PhD degrees in electronics engineering from the Beijing Institute of Technology\, Beijing\, China\, in 1991 and 1997\, respectively. From 1997 to 1999\, he was a Research Fellow with the School of Electrical Engineering\, University of Sydney\, Sydney\, Australia. In 2000\, he joined the School of Electrical Engineering and Telecommunications\, University of New South Wales\, Sydney\, Australia\, where he is currently a Professor and Head of Telecommunication Group with the School. He has published two books\, five book chapters\, over 300 papers in telecommunications journals and conference proceedings\, and 50 industrial reports. He is a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check codes. He has co-authored four Best Paper Awards and one Best Poster Award\, including the Best Paper Award from the IEEE International Conference on Communications\, Kansas City\, USA\, in 2018\, the Best Paper Award from IEEE Wireless Communications and Networking Conference\, Cancun\, Mexico\, in 2011\, and the Best Paper Award from the IEEE International Symposium on Wireless Communications Systems\, Trondheim\, Norway\, in 2007. He is an IEEE Fellow and currently serving as an Associate Editor for the IEEE Transactions on Wireless Communications. He served as the IEEE NSW Chapter Chair of Joint Communications/Signal Processions/Ocean Engineering Chapter during 2011-2014 and served as an Associate Editor for the IEEE Transactions on Communications during 2012-2017. His current research interests include error control coding and information theory\, communication theory\, and wireless communications. \n
URL:https://news.eis.uow.edu.au/event/random-access-for-machine-type-communications/
LOCATION:Building 35 Room G45\, University of Wollongong\, Building 35 Room G45\, University of Wollongong\, 2500\, AU
CATEGORIES:School of Electrical Computer and Telecommunications Engineering
ATTACH;FMTTYPE=image/jpeg:https://news.eis.uow.edu.au/wp-content/uploads/2019/06/secte-seminar.jpg
ORGANIZER;CN="Dr%20Jun%20Tong":MAILTO:jtong@uow.edu.au
GEO:-34.5544962;150.3757979
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Building 35 Room G45 University of Wollongong Building 35 Room G45 University of Wollongong 2500 AU;X-APPLE-RADIUS=500;X-TITLE=Building 35 Room G45:geo:150.3757979,-34.5544962
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T143000
DTEND;TZID=Australia/Sydney:20190613T153000
DTSTAMP:20191114T193846
CREATED:20190607T053237Z
LAST-MODIFIED:20190607T053237Z
UID:12619-1560436200-1560439800@news.eis.uow.edu.au
SUMMARY:NIASRA Seminar Series
DESCRIPTION:Speaker\nProfessor Murray Aitkin\, Department of Statistics\, University of Melbourne \nTitle\nAn alternative measure of income inequality over successive surveys \nAbstract\nIn Australia\, there has been a recent major argument over the claim by the Australian Bureau of Statistics that inequality had not worsened in Australia over the period 2014-2016. The then Commonwealth Government Treasurer (now Prime Minister)\, Scott Morrison\, gave a speech at the time to the Australian Industry Group\, in which he said: \n“Analysis of the more recent census data for the 2016 census shows the Gini coefficient based on gross household income has declined from 0.382 to 0.366 since 2011.” \nIn a separate comment\, he said \n“The last census showed that on the global measure of inequality\, which is the Gini coefficient – that is the accepted global measure of income inequality around the world – and that figure shows that it hasn’t got worse\, inequality\, that it’s actually got better.” \nMr Morrison’s figures were derived using gross income data taken from the census\, and are based on internal\, unpublished calculations. \nThere are at least three problems with the Gini coefficient for income inequality comparisons. \nThe first is that countries or years with widely different income distributions may have the same Gini index. \nThe second is that its calculation formally requires access to individual-level income data\, to develop both the percentiles of the individual income distribution and the proportion of national income received by each income percentile group. These data are generally confidential to the national statistical office and are not publicly available\, except by personal application through a recognised University. What is publicly available\, at least in Australia\, is the numbers of households receiving income in ABS-defined income intervals. \nThis information is insufficient to compute the Lorenz curve\, from which the Gini index is computed. \nThe third and principal problem with the Gini index\, or any other single number\, is that it cannot represent variability in the income distribution. A Gaussian distribution can be summarised by two numbers\, but only a single-parameter distribution\, like the Poisson or exponential\, can be summarised by one number. Recognition of this allows us to develop a statistical modelling approach to changes in income inequality over repeated surveys or censuses\, using publicly available income data. I give an example of publicly available total household income reported in percentile ranges from the Australian censuses of 2006\, 2011 and 2016. The alternative analysis uses a four-moment distribution to model the income distribution and graduate its reported percentiles. \nIt is clear from the analysis that the reported income distribution changed very little from 2006 to 2011\, but changed substantially – mean and variability both increasing – from 2011 to 2016. This would appear to represent a decrease in inequality from 2011-2016\, but the voluntary response makes almost any conclusion doubtful. \n
URL:https://news.eis.uow.edu.au/event/an-alternative-measure-of-income-inequality-over-successive-surveys/
LOCATION:Building 39A Room 208\, University of Wollongong\, Wollongong\, NSW\, Australia
CATEGORIES:NIASRA
ATTACH;FMTTYPE=image/jpeg:https://news.eis.uow.edu.au/wp-content/uploads/2018/11/NIASRA-Seminar-Series.jpg
GEO:-34.4054039;150.87843
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Building 39A Room 208 University of Wollongong Wollongong NSW Australia;X-APPLE-RADIUS=500;X-TITLE=University of Wollongong:geo:150.87843,-34.4054039
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Australia/Sydney:20190613T143000
DTEND;TZID=Australia/Sydney:20190613T153000
DTSTAMP:20191114T193846
CREATED:20190723T050027Z
LAST-MODIFIED:20190723T050027Z
UID:12882-1560436200-1560439800@news.eis.uow.edu.au
SUMMARY:National Institute for Applied Statistics Research Australia Seminar Series
DESCRIPTION:Speaker: \nDr Michael Betancourt is the principal research scientist \nSymplectomorphic\, LLC \n Title: \nScalable Bayesian Inference with Hamiltonian Monte Carlo \nAbstract: \nDespite the promise of big data\, inferences are often limited not by sample size but rather by systematic effects. Only by carefully modelling these effects can we take full advantage of the data — big data must be complemented with big models and the algorithms that can fit them. One such algorithm is Hamiltonian Monte Carlo\, which exploits the inherent geometry of the posterior distribution to admit full Bayesian inference that scales to the complex models of practical interest. In this talk I will present a conceptual discussion of the challenges inherent to Bayesian computation and the foundations of why \nHamiltonian Monte Carlo in uniquely suited to surmount them. \n
URL:https://news.eis.uow.edu.au/event/national-institute-for-applied-statistics-research-australia-seminar-series-14/
LOCATION:Building 39A Room 208\, University of Wollongong\, Wollongong\, NSW\, Australia
CATEGORIES:NIASRA,School of Mathematics and Applied Statistics
ATTACH;FMTTYPE=image/jpeg:https://news.eis.uow.edu.au/wp-content/uploads/2018/11/NIASRA-Seminar-Series.jpg
GEO:-34.4054039;150.87843
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