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Interesting lectures if you live within travelling distance from Toronto, Ontario, Canada Details at: http://toronto.ieee.ca/events/nov0408.htm Title === Artificial Intelligence Stops the Car (so you don't have to) Speaker ====== Dr. Daniel Fischer, P.Eng., SMIEEE Day and Time ========== Tuesday, November 4, 2008, 6:00 p.m. 8:00 p.m. Location ====== Room BA BA1170 Bahen Centre for Information Technology University of Toronto - St. George Campus 40 St. George Street See: http://oracle.osm.utoronto.ca/map/index2.html, code BA Organizer ======= IEEE Toronto "Signals and Computational Intelligence" Joint Chapter Contact Bruno Di Stefano, b_DOT_distefano_AT_IEEE_DOT_org Abstract ====== Many of us have heard of Fuzzy Logic and Neural Networks, two major Artificial Intelligence domains. Perhaps, when looking at Neural Networks, we were exposed to different network structures (e.g. feed forward with backpropagation learning, radial basis function, etc), or different learning approaches (supervised vs. unsupervised). When considering Fuzzy Logic, we have learned about fuzzy sets, fuzzy membership functions, fuzzification, inference and aggregation, defuzzification. All this information is useful in order to understand the details of what goes on inside a Neural Network or a Fuzzy System when they perform their computations. However, the same details may not be particularly helpful in showing when a certain technology is likely to be successful when applied to an application. In this tutorial, as an application example, we will show how Artificial Intelligence can be used to achieve a task we, humans, are pretty good at: stopping a car before it crashes into a wall. We will use a Neural Network to implement our acquired driving experience: the ability to estimate the stopping distance, given the vehicle's speed and applied pressure on the break pedal. We will use a Fuzzy Logic system to capture the driver's style: aggressive, delaying pressing on the break pedal until the last moment, or relaxed, starting the stopping process early. We will show how we can implement a smooth stop and will implement all this in a simulation running under Matlab Simulink. It is unlikely that this tutorial will improve our driving abilities, however it is hoped that our understanding of applied Artificial Intelligence would increase. ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////// Feel free to bring along any colleague who may be interested in this talks. The "Signals & Computational Intelligence" Chapter (http://toronto.ieee.ca/chapters/s_ci.htm) of the IEEE Toronto Section (http://toronto.ieee.ca/index.html ) is a joint chapter of: * IEEE Computational Intelligence Society * IEEE Control Systems Socie * IEEE Geoscience and Remote Sensing Society * IEEE Information Theory Society * IEEE Intelligent Transportation Society * IEEE Oceanic Engineering Society * IEEE Ultrasound, Ferroelectrics, and Frequency Control Society * IEEE Vehicular Technology Society If you are a member of one or more of these societies and wish to be active in our chapter, please, write to me an short e-mail message. Thank you. Best regards Bruno Di Stefano -- -- Bruno Di Stefano ------------------------------------------------------------------- http://bruno.distefano.googlepages.com/home http://toronto.ieee.ca/executive/distefano.htm http://www3.sympatico.ca/nuptek ------------------------------------------------------------------- -- [ comp.ai is moderated ... your article may take a while to appear. ]

This talk is available as a webinar =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D You can access it in real-time from anywhere in North America. The organizers are not sure, but it may be accessible in real-time also from elsewhere. We apologize for not being able to be precise on this point. We hope to be able confirm access from elsewhere for future webinars. From: http://toronto.ieee.ca/events/nov2608.htm _________________________________________________ Title =3D=3D=3D WLAN Positioning: Applications & Theory Speaker =3D=3D=3D=3D=3D=3D=3D Dr. Azadeh Kushki, Post Doctoral Fellow McMaster University Day and Time =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Wednesday, November 26, 2008, 4:00 p.m. =96 6:00 p.m. E.S.T. Location =3D=3D=3D=3D=3D=3D=3D Online Webinar (see registration below) Registration =3D=3D=3D=3D=3D=3D=3D=3D=3D Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/377518102 After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements: =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D PC-based attendees Required: Windows=AE 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh=AE-based attendees Required: Mac OS=AE X 10.4 (Tiger=AE) or newer Organizer =3D=3D=3D=3D=3D=3D=3D=3D IEEE Canada (IEEE R7) and the "Signals and Computational Intelligence" Joint Chapter of IEEE Toronto Contact =3D=3D=3D=3D=3D=3D Bruno Di Stefano, b_DOT_distefano_AT_ieee_DOT_ORG Abstract =3D=3D=3D=3D=3D=3D=3D Wireless communication technology has enabled mobility of personal devices equipped with sensing and computing capabilities. An important consequence of such mobility is that resource and information needs of users change with their physical location. This location dependency has incited the emergence of location-based services that cater to changing user contexts. Such services are offered as value-added features on top of existing communication infrastructures in various applications including location-specific information delivery and network management. To support location-based services, accurate and reliable user location information is needed. This need has sparked a new interest in positioning and tracking systems. In this talk, I will discuss the history, applications, and theory of positioning in indoor wireless local area networks (WLAN). Biography =3D=3D=3D=3D=3D=3D=3D=3D Dr. Azadeh Kushki is a Post Doctoral Fellow at McMaster University working with Professor Simon Haykin. She received her Ph.D. degree in Electrical Engineering from the University of Toronto in 2008. Azadeh is a member of the IEEE and will serve as the vice-chair of the IEEE Toronto Signals and Computational Intelligence Joint Chapter starting in January 2009 _________________________________________________ Feel free to advertise the event to any colleague who may be interested in this talk. The "Signals & Computational Intelligence" Chapter (http://toronto.ieee.ca/chapters/s_ci.htm) of the IEEE Toronto Section (http://toronto.ieee.ca/index.html ) is a joint chapter of: * IEEE Computational Intelligence Society * IEEE Control Systems Socie * IEEE Geoscience and Remote Sensing Society * IEEE Information Theory Society * IEEE Intelligent Transportation Society * IEEE Oceanic Engineering Society * IEEE Ultrasound, Ferroelectrics, and Frequency Control Society * IEEE Vehicular Technology Society Recent talks of this chapter include: =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D - "Artificial Intelligence Stops the Car (so you don't have to) " http://toronto.ieee.ca/events/nov0408.htm - "Cognitive Dynamic Radio Tracking " http://toronto.ieee.ca/events/jun0408.htm - "Sensor Networks in Two Keywords: In-Network Processing for Data- Centric Applications" http://toronto.ieee.ca/events/may21208.htm - "Linguistic Variables: Clear Thinking with Fuzzy Logic" http://toronto.ieee.ca/events/may1408.htm - "Photo-realistic 3D Model Reconstruction " http://toronto.ieee.ca/events/mar1008.htm - "Cognitive Dynamic Systems" http://toronto.ieee.ca/events/nov1507.htm - "Biometrics & Authentication Technologies" http://toronto.ieee.ca/events/may1007.htm - "Estimating Roadway Traffic Conditions Via Anonymous Tracking of Cell Phones" http://toronto.ieee.ca/events/apr1307.htm - "Monitoring Cell Phone Movement to Interpolate Traffic Speed" http://toronto.ieee.ca/events/feb0807.htm If you feel that you would have enjoyed attending one of these talks, but you could not because you live far away from Toronto (Ontario, Canada), bookmark our web page, at http://toronto.ieee.ca/chapters/s_ci.htm= , because we plan on offering several webinars in 2009. Thank you. Best regards Bruno Di Stefano -- -- Bruno Di Stefano ------------------------------------------------------------------- http://bruno.distefano.googlepages.com/home http://toronto.ieee.ca/executive/distefano.htm http://www3.sympatico.ca/nuptek -------------------------------------------------------------------