Week of Events
IEEE-USA Alaska Cruise
Sail to Alaska with IEEE-USA! IEEE-USA's cruising saga continues in 2024 to the magnificent, wild Alaskan frontier. Building off of the success of IEEE-USA’s 50th Anniversary Cruise, IEEE-USA will be hosting a 7-night Alaska Cruise 9-16 September 2024. We’ll be cruising in style aboard Royal Caribbean’s Quantum of the Seas from Seattle to stops in Sitka, Skagway, Juneau, and Victoria, BC, before concluding our cruise back in Seattle. Please remember that to participate in the IEEE-USA Alaska Cruise activities, you must book through the (https://cruise.ieeeusa.org). Details: (https://cruise.ieeeusa.org/) Bldg: Smith Cove Cruise Terminal at Pier 91, Port of Seattle, 2001 West Garfield Street, Seattle, Washington, United States, 98119
IEEE-USA Alaska Cruise
Sail to Alaska with IEEE-USA!IEEE-USA's cruising saga continues in 2024 to the magnificent, wild Alaskan frontier. Building off of the success of IEEE-USA’s 50th Anniversary Cruise, IEEE-USA will be hosting a 7-night Alaska Cruise 9-16 September 2024. We’ll be cruising in style aboard Royal Caribbean’s Quantum of the Seas from Seattle to stops in Sitka, Skagway, Juneau, and Victoria, BC, before concluding our cruise back in Seattle.Please remember that to participate in the IEEE-USA Alaska Cruise activities, you must book through the (https://cruise.ieeeusa.org).Details: (https://cruise.ieeeusa.org/)Bldg: Smith Cove Cruise Terminal at Pier 91, Port of Seattle, 2001 West Garfield Street, Seattle, Washington, United States, 98119
2024 WIRED Grid Resilience Symposium
The 2024 WIRED Grid Resilience Symposium will take place September 12–13, 2024, at the University of Utah campus, in Salt Lake City, Utah. The symposium, organized by the (https://resilience.utah.edu/about/), brings together faculty and students from (https://resilience.utah.edu/about/team/) of the NSF WIRED Global Centre and the industry, community, national laboratories and government collaborators and partners. Participants will discuss industry challenges and innovation, present the most recent research and development on grid resilience, and explore future research direction to further enhance the climate-resilience of the western interconnection.The symposium features Power and Energy Career Expo to introduce career opportunities and connect students with potential employers through multiple engagement opportunities.Co-sponsored by: University of UtahAgenda: Click to see the detailed agenda: https://resilience.utah.edu/wired-grid-resilience-symposium/Room: Auditorium , Bldg: Sorensen Molecular Biotechnology Building, 36 S Wasatch Dr, Salt Lake City, Utah, United States, 84112
2024 WIRED Grid Resilience Symposium
The 2024 WIRED Grid Resilience Symposium will take place September 12–13, 2024, at the University of Utah campus, in Salt Lake City, Utah. The symposium, organized by the (https://resilience.utah.edu/about/), brings together faculty and students from (https://resilience.utah.edu/about/team/) of the NSF WIRED Global Centre and the industry, community, national laboratories and government collaborators and partners. Participants will discuss industry challenges and innovation, present the most recent research and development on grid resilience, and explore future research direction to further enhance the climate-resilience of the western interconnection. The symposium features Power and Energy Career Expo to introduce career opportunities and connect students with potential employers through multiple engagement opportunities. Co-sponsored by: University of Utah Agenda: Click to see the detailed agenda: https://resilience.utah.edu/wired-grid-resilience-symposium/ Room: Auditorium , Bldg: Sorensen Molecular Biotechnology Building, 36 S Wasatch Dr, Salt Lake City, Utah, United States, 84112
2024 WIRED Grid Resilience Symposium
The 2024 WIRED Grid Resilience Symposium will take place September 12–13, 2024, at the University of Utah campus, in Salt Lake City, Utah. The symposium, organized by the (https://resilience.utah.edu/about/), brings together faculty and students from (https://resilience.utah.edu/about/team/) of the NSF WIRED Global Centre and the industry, community, national laboratories and government collaborators and partners. Participants will discuss industry challenges and innovation, present the most recent research and development on grid resilience, and explore future research direction to further enhance the climate-resilience of the western interconnection. The symposium features Power and Energy Career Expo to introduce career opportunities and connect students with potential employers through multiple engagement opportunities. Co-sponsored by: University of Utah Agenda: Click to see the detailed agenda: https://resilience.utah.edu/wired-grid-resilience-symposium/ Room: Auditorium , Bldg: Sorensen Molecular Biotechnology Building, 36 S Wasatch Dr, Salt Lake City, Utah, United States, 84112
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. In this continuation from the prior presentation, a case study applying predictive engineering for the optimization of 4 requirements for an integrated circuit (Integrated Alternator Regulator for automobiles) will be shared. Deterministic models were derived by using design of experiments (DOE) and response surface modeling (RSM) in concert with circuit simulations. These deterministic models were melded with probabilistic modeling using Monte Carlo Simulation and Variance Transmission. Yield Surface Modeling™ will be introduced and shared and applied for stochastic co-optimization of the four requirements of the design. Brief summaries and overviews of other applications of predictive engineering to integrated circuit design stochastic optimization will be shared.[]Co-sponsored by: Ad Astra FoundationSpeaker(s): Eric Maass, PhDVirtual: https://events.vtools.ieee.org/m/424630
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. In this continuation from the prior presentation, a case study applying predictive engineering for the optimization of 4 requirements for an integrated circuit (Integrated Alternator Regulator for automobiles) will be shared. Deterministic models were derived by using design of experiments (DOE) and response surface modeling (RSM) in concert with circuit simulations. These deterministic models were melded with probabilistic modeling using Monte Carlo Simulation and Variance Transmission. Yield Surface Modeling™ will be introduced and shared and applied for stochastic co-optimization of the four requirements of the design. Brief summaries and overviews of other applications of predictive engineering to integrated circuit design stochastic optimization will be shared. [] Co-sponsored by: Ad Astra Foundation Speaker(s): Eric Maass, PhD Virtual: https://events.vtools.ieee.org/m/424630
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Using Predictive Engineering for Multiple Response Optimization of an Integrated Circuit
Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. In this continuation from the prior presentation, a case study applying predictive engineering for the optimization of 4 requirements for an integrated circuit (Integrated Alternator Regulator for automobiles) will be shared. Deterministic models were derived by using design of experiments (DOE) and response surface modeling (RSM) in concert with circuit simulations. These deterministic models were melded with probabilistic modeling using Monte Carlo Simulation and Variance Transmission. Yield Surface Modeling™ will be introduced and shared and applied for stochastic co-optimization of the four requirements of the design. Brief summaries and overviews of other applications of predictive engineering to integrated circuit design stochastic optimization will be shared. [] Co-sponsored by: Ad Astra Foundation Speaker(s): Eric Maass, PhD Virtual: https://events.vtools.ieee.org/m/424630