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DTSTART;TZID=America/Toronto:20191007T133000
DTEND;TZID=America/Toronto:20191007T153000
DTSTAMP:20261109T231757
CREATED:20210430T023527Z
LAST-MODIFIED:20210430T232254Z
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SUMMARY:Setting in with Programming – Python – Workshop 2
DESCRIPTION:Monday October 7th\, 2019 at 1:30 p.m. Enas Tarawneh will be presenting a Python workshop\, “Setting in with Programming – Workshop 2”. \nDay & Time: Monday October 7th\, 2019\n1:30 p.m. – 3:30 p.m. \nSpeaker: Enas Tarawneh \nOrganizers: IEEE WIE\, WICSE \nLocation: Lassonde Building (LAS-3033) \nContact: Hina Tabassum \nPre-requisites: Workshop 1 \nRegistration Link: http://bit.ly/2Y171HP \nSnacks will be served. \nWorkshop Description: This workshop will cover the (1) use and application of existing packages (2) file manipulation (3) GUI input/output (4) speech recognition package (5) use microphone or file for input (6) output audio capture result through play or file (7) output text result through terminal and GUI. \nNote: Bring your own laptop with a python installation (2.7\, 3.3-3.6) and Speech Recognition Package installation. Installation guidelines will be sent to registered attendees. \nBiography: Enas Tarawneh is a PhD student at York University in the department of Computer Science and Electrical Engineering. She works in the Vision\, Graphics and Robotics (VGR) Laboratory as a research assistant. Her most recent research involves the development and evaluation of a cloud-based avatar (intelligent agent) for human-robot interaction that is part of a project funded by VISTA. She holds an OGS and VISTA doctoral scholarship. Prior to this\, Enas worked as an academic Lead\, instructor and e-learning coordinator in the Institute of Applied Technology in UAE in which she received an award for “Distinguished Curriculum Support” and another for “Excellence in E-learning coordination”. Most importantly Enas\, is a wife and mother of three\, that believes that open-mindedness and positivism is the best accomplishment and the source of true happiness.
URL:https://www.ieeetoronto.ca/event/setting-in-with-programming-python-workshop-2/
LOCATION:Lassonde Building\, Ottawa Rd\, Toronto\, ON M3J 1P3\, Canada
CATEGORIES:Women in Engineering
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DTSTART;TZID=America/Toronto:20191008T150000
DTEND;TZID=America/Toronto:20191008T160000
DTSTAMP:20261109T231757
CREATED:20210430T023528Z
LAST-MODIFIED:20210430T232422Z
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SUMMARY:Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT
DESCRIPTION:Tuesday October 8th\, 2019 at 3:00 p.m. Peyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\, will be presenting “Wireless Positioning and Sensing Network (WPSN™) for Hyper-Accurate Indoor & Outdoor Location Tracking System with Applications in the Critical and Massive IoT”. \nDay & Time: Tuesday\, October 8\, 2019\n3:00 p.m. ‐ 4:00 p.m. \nSpeaker: Peyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\nFounder and CEO of Peytec \nOrganizers: IEEE Toronto Instrumentation & Measurement Chapter\, Women in Engineering \nLocation: Progress Campus\n941 Progress Ave\, Scarborough\, ON M1G 3T8\nRoom L1-12 \nContact: Dr. Maryam Davoudpour \nAbstract: Wireless Sensor Networks (WSN’s) are the building blocks of Internet-of-Things (IoT) and Industrial IoT in the physical layer; however\, they lack a fundamental aspect; WSN’s are not designed to be located. There has been several research papers published that addresses the addition of localization capability in various Wireless Sensor Networks such as Zigbee\, BLE’s\, LoRa modules\, and NB-IoT. In virtually all of the mentioned networks\, by adding the localization capability other network and tags advantages such as latency\, battery life\, scalability\, and reliability will be negatively affected; in addition\, the localization accuracy obtained would vary significantly depending on the sample rate and method of localization. Most localization methodologies used to locate the position of a moving tag with the mentioned WSN’s utilize Received Signal Strength (RSSI) which is a range free methodology which often has poor localization accuracy and it is not repeatable nor reliable. To address this problem a groundbreaking Wireless Positioning and Sensing Network (WPSN™) is designed developed where not only a localization accuracy of 10 cm is maintained but also latency\, reliability\, scalability\, and battery life of the tags are not sacrificed to maintain and sustain the 10 cm localization accuracy. \nBiography:\nPeyman Moeini\, B. Eng.\, MASc\, PMP\, P.Eng.\, is an entrepreneur engineer who has launched several successful Internet of Things (IoT) & Artificial Intelligence (AI) products in various fields such as agriculture\, manufacturing\, logistics\, freight\, retail\, and mining. He has won more than 30 innovation and entrepreneurship awards in the IoT&AI fields. Peyman has extensive knowledge and experience in the IoT&AI spaces. Through his career\, Peyman has developed an AI algorithm that made the time efficiency of software 500 times faster for the exact same results! He holds several patents in this space and is the founder and CEO of Peytec\, a Smart Industrial IoT&AI company that builds and sells hyper-accurate “Indoor GPS” and Sensing Systems. Through his initiatives\, Peyman is on a mission to help make Canada be the global leader in IoT&AI space.
URL:https://www.ieeetoronto.ca/event/wireless-positioning-and-sensing-network-wpsn-for-hyper-accurate-indoor-outdoor-location-tracking-system-with-applications-in-the-critical-and-massive-iot/
LOCATION:Progress Campus 941 Progress Ave\, Scarborough\, ON M1G 3T8 Room L1-12
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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