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DTSTART;TZID=America/Toronto:20210708T150000
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DTSTAMP:20261107T191704
CREATED:20210525T165425Z
LAST-MODIFIED:20210809T205411Z
UID:10000417-1625756400-1625760000@www.ieeetoronto.ca
SUMMARY:From an Idea to a Startup
DESCRIPTION:We are living in the age of innovation. Every day\, innovators are solving many problems that people are facing in life. In the process of innovation\, there are many questions about how we can find problems. What is innovation exactly? How can we find solutions? And how can we learn the innovation process? \nI am Masoud Valinejad\, CEO-Director of technology in NovoSolTech Company\, and innovation mentor with more than five-year experience\, with 10 USA patents\, and more than five national and international special prizes in innovation competitions. In this webinar\, I want to show you how you can become an innovator and entrepreneur through some steps and practices. \nContact: Ayda Naserialiabadi
URL:https://www.ieeetoronto.ca/event/from-an-idea-to-a-startup/
LOCATION:Virtual – Zoom
CATEGORIES:Instrumentation & Measurement,Women in Engineering
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T120000
DTEND;TZID=UTC:20210719T130000
DTSTAMP:20261107T191704
CREATED:20210708T233314Z
LAST-MODIFIED:20220105T225731Z
UID:10000440-1626696000-1626699600@www.ieeetoronto.ca
SUMMARY:Distributed Machine Learning 101
DESCRIPTION:Machine Learning is an indispensable part of data science\, and there is no need to have a thorough programming background to benefit from it. Machine Learning (ML) and statistical techniques have provided a new era that enables us to convert the data into information and transform it into actionable knowledge. SciKit and TensorFlow are two states of the art libraries that can be used in Python\, and this seminar will open the gate to know their bases. The first seminar is about “Hello World!” Machine Learning program\, using the python language and SciKit learn library. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276938
URL:https://www.ieeetoronto.ca/event/distributed-machine-learning-101/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276938
CATEGORIES:Magnetics,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210719T180000
DTEND;TZID=UTC:20210719T200000
DTSTAMP:20261107T191704
CREATED:20210622T221221Z
LAST-MODIFIED:20220105T225754Z
UID:10000436-1626717600-1626724800@www.ieeetoronto.ca
SUMMARY:Product Lifecycle Management
DESCRIPTION:Product Lifecycle Management is a process used to manage all of the business and technical aspects in the life of a product business\, from early stage concept to product retirement. It is used extensively by most Global MultiNational Corporations but it serves small startup businesses very well also. It deals with and includes participation from all of the important business organisations. As such it is very relevant to engineers involved in any aspect of product development. Marto Hoary has worked with a number of multinationals in the USA and Europe where in he has observed and learned the use of this process first hand. \nSpeaker(s): Marto J Hoary\, Sr MIEEE\, M. Eng. \nVirtual: https://events.vtools.ieee.org/m/275555
URL:https://www.ieeetoronto.ca/event/product-lifecycle-management/
LOCATION:Virtual: https://events.vtools.ieee.org/m/275555
CATEGORIES:Instrumentation & Measurement,Women in Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20210726T120000
DTEND;TZID=UTC:20210726T130000
DTSTAMP:20261107T191704
CREATED:20210708T233315Z
LAST-MODIFIED:20220105T225837Z
UID:10000442-1627300800-1627304400@www.ieeetoronto.ca
SUMMARY:Sustainable Service Pricing in Cloud Ecosystems
DESCRIPTION:Energy efficiency\, which has emerged as a top priority in cloud ecosystems\, is the outcome of appropriate pricing mechanisms and resource allocations. Static pricing mechanisms are the most dominant approach among all the others. They are simple to implement for the service providers and easy to understand for the service users. Inaccurate price calculation and low efficient resource allocation in static pricing mechanisms made researchers discover other solutions to overcome these issues. Double auction mechanisms are among the most appropriate dynamic models. The main challenge of conventional double auction mechanisms is not considering the cloud ecosystems’ specifications\, such as dynamic online features. The term dynamic refers to the many variable parameters in cloud ecosystems\, and they constantly change. Conventional static offline pricing solutions are set based on a series of parameters before running the process. In dynamic online methods\, we customize our pricing models based on dynamic and current parameters. Also\, we continuously optimize these methods to attain optimal results. In this seminar\, firstly\, we define a Dynamic Online Double Auction Mechanism (DODAM) for the IaaS environment\, which covers a broader range of IaaS parameters by considering the dynamic online features of such markets. Considering the features of cloud dynamic online ecosystems\, DODAM provides an appropriate price scheduling for service providers and service users. Cloud secondary market is a new paradigm in IaaS ecosystems. In these markets\, brokers and reseller buyers have attained their resources from service providers of the cloud primary markets in the form of timed packages and repackage them into smaller chunks. As unsold packages do not transfer to the next intervals\, brokers and reseller buyers need to sell their packages as much as possible. We develop a mechanical design that includes a market-based pricing model and a resource allocation algorithm in such markets as our second contribution. Next\, by formulating the inherent competitive features in cloud secondary markets\, we improve the pricing and resource allocation mechanisms in such competitive ecosystems. In the last contribution\, we proposed a Priority-based Dynamic Online Double Auction Model (PB-DODAM)\, considering the perishability and time constraints of traded resources in IaaS secondary markets. The provided experimental results show that all proposed mechanisms drastically increase resource utilization and the overall utility. \nSpeaker(s): Dr. Reza Dibaj \nVirtual: https://events.vtools.ieee.org/m/276942
URL:https://www.ieeetoronto.ca/event/sustainable-service-pricing-in-cloud-ecosystems/
LOCATION:Toronto\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.org/m/276942
CATEGORIES:Magnetics,Women in Engineering
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