Anna Scaglione (Arizona State University, USA)
Lecture Date: December 19, 2019
Chapter: Dhaka
Chapter Chair: Celia Shehnaz
Topic: Distributed Algorithms for Principal Component Analysis
Lecture Date: December 19, 2019
Chapter: Dhaka
Chapter Chair: Celia Shehnaz
Topic: Distributed Algorithms for Principal Component Analysis
A new process is in place to ensure that Section, Chapter and Society officers will be notified when a wire transfer is processed through a local Section bank account for a chapter that does not have its own bank account.
New enhancements to the display of Section and Chapter data are now available in the Geographic Map within OU Analytics. Boundaries have been expanded to incorporate additional Sections/Subsections not previously included.
New and improved monthly statistics reports are now available containing enriched visual analytics dashboards that can be used for monthly trending.
As a reminder for continuing chapter chairs and for incoming chapter chairs for 2019, we would like to highlight a valuable resource available to you. Launched last year was IEEE OU Analytics, a web-based business intelligence tool to deliver essential metrics on memberships or subscriptions to OUs...
Please be advised that IEEE gauges the vitality of a chapter by tracking how many meetings are reported during the year through vTools. If a chapter reports "0" meetings for three consecutive years, the chapter is placed on a dissolution list that is reviewed at the November Board Meeting.
This webinar, “Fast Detection of Transformed Data Leaks,” will discuss how the leak of sensitive data across secure network boundaries is becoming one of the most critical concerns for many industries in the move towards digitalization, building worldwide information portals, and the cloud.
Millimeter wave technology is an essential component of most solutions that address the coverage and throughput demands of next-generation cellular networks. To overcome the high propagation losses however, it is necessary to deploy large antenna arrays for spatial localization of energy by beamforming.
Energy-efficient, highly integrated lens antenna arrays (LAAs) have found widespread applications in wideband millimeter wave or terahertz communications, localization and tracking, and wireless power transfer. Accurate estimation of angle-of-arrival (AoA) is key to those applications, but has been hindered by a spatial-wideband effect in wideband systems.
This paper presents a time-frequency masking based online multi-channel speech enhancement approach that uses a convolutional recurrent neural network to estimate the mask. The magnitude and phase components of the short-time Fourier transform coefficients for multiple time frames are provided as an input such that the network is able to discriminate between the directional speech...