When Video Streaming and Active Queue Management Collides

Online

With video traffic accounting for more than 60% of the global downstream Internet traffic in 2019, video streaming represents a significant portion of inbound traffic to the home environment. Recently, the Internet Engineering Task Force (IETF) has standardised three Active Queue Management (AQM) schemes – PIE (RFC8033), CoDel (RFC8289) and FQ-CoDel (RFC8290). These schemes are being progressively deployed at the last-mile Internet Service Providers’ (ISP) end-points and home gateways to counteract bufferbloat and will likely impact consumer video streams. This talk presents the benefits of the emerging AQM schemes in broadband networks and their impact on video streaming traffic and an experimentally validated technique that has been proposed for improving streaming performance in typical consumer home broadband environments. Speaker: Dr. Jonathan Kua   More Information: https://events.vtools.ieee.org/tego_/event/manage/238565 This event is organized by IEEE Victorian ComSoc Chapter

Free

How to manage consensus processes for large scale group decisions

Online

IEEE online lecture with Prof. Luis Martinez: How to manage consensus processes for large scale group decisions Consensus reaching processes (CRPs) provide solutions acceptable to all the experts participating in group decision problems, they are demanded in many real-life contexts. Given the variety of existing approaches to support consensus reaching processes, this talk considers two main objectives. Firstly, it revises and introduces a taxonomy that provides an overview and categorization of some existing consensus models for group decision making problems defined in a fuzzy context, taking into account the main features of each model. Secondly it discusses the performance of classical CRP models within contexts with a large number of decision makers, such as e-market places and social networks. This lecture will focus on some new requirements to the solution of consensus-based group decision making problems, such as Consensus metrics for analysing performance of consensus reaching processes Comprehensive minimum cost consensus reaching processes Increase of convergence of the consensus process keeping decision makers sovereign Monitoring tools to evaluate easily the evolution of the consensus process. For more information: https://events.vtools.ieee.org/m/237111 SPEAKER Luis Martinez is Full Professor of Computer Science with the University of Jaén (Spain). He is a well-established research leader in the ICT field and recognized as highly cited researcher in the field. His current research interests are in fuzzy decision making, linguistic preference modelling, fuzzy systems, decision support systems, computing with words and recommender systems. He has been main researcher in 16 R&D projects. He is an IEEE Senior Member and member of the European Society for Fuzzy Logic and Technology. Luis is Co-Editor in Chief of the International Journal of Computational Intelligence Systems and an Associated Editor of IEEE Transactions on Fuzzy Systems, Knowledge-Based Systems, Information Fusion, the International Journal of Fuzzy Systems, Journal of Intelligent & Fuzzy Systems, Applied Artificial Intelligence, Journal of Fuzzy Mathematics. He received the IEEE Transactions on Fuzzy Systems Outstanding Paper Award in 2008 and 2012. Luis was a Visiting Professor in University of Technology Sydney, University of Portsmouth (UK). He has been appointed as Highly Cited Researcher in 2017, 2018 and 2019 in Computer Science according to the Web of Science. VENUE Zoom event: https://us02web.zoom.us/j/89953030668?pwd=SWpPdFZ2S3hQeS9EQml5Y0EyVXJhQT09 Meeting ID: 899 5303 0668 Passcode: 299200

Free

Personalised Epileptic Seizure Forecasting

Online

IEEE EMBS Distinguished Lecture by Prof David Grayden Epilepsy is a common and serious neurological disorder, characterised by recurrent seizures, affecting over 60 million people worldwide. The inherent unpredictability of seizures is a significant factor contributing to the risk of injury, psychosocial disability, and mortality. In these cases, the quality of life impairment compares unfavourably with other chronic illnesses such as hypertension, diabetes or heart disease, and the uncertainty of seizure occurrence is a major component of this impairment. New methods for epilepsy treatments, therapy titration and seizure forecasting are desperately needed. Artificial intelligence technologies offer opportunities to automatically detect and even forecast epileptic seizures, which may allow new management strategies and pre-emptive therapies for seizure control that will increase patient safety and quality of life. Registration:  https://events.vtools.ieee.org/m/239446   A Zoom link will be sent out one day before the event. For any further information contact: IEEE EMBS Chapter (Paul.Junor@gmail.com)  

Free