IEEE – Atlanta Section

. In recent years, advances in machine learning, parallelization and the speed of graphics processing units (GPUs), combined with the availability of open, easily accessible implementations, have brought deep neural networks (DNNs) to the forefront of research in many fields. Likewise, deep learning has offered significant performance gains in the classification of radar micro-Doppler signatures, paving the way for new civilian applications of RF technologies that require a greater ability to recognize a larger number of classes that are similar in nature. However, RF data has a fundamentally different phenomenology from other application areas of deep learning, such as computer vision or natural language processing. The signal received from radar is a complex time-series, whose amplitude and phase are related to the physics of electromagnetic scattering and kinematics of target motion. Radar data oftentimes undergoes a number of filtering and analysis stages before being presented to a DNN as two- or three-dimensional data. Thus, DNN approaches, popular in other fields, do not necessarily translate to the RF domain and their benefits must be separately reassessed. A related challenge, which further necessitates the exploitation of a physics-based, knowledge-aided signal processing approach to DNN design and training, is the small amount of measured data that is available in RF applications. This talk will discuss the unique aspects of application of deep learning to radar micro-Doppler classification, focusing on the problem of DNN training under low sample support. Generative Adversarial Networks (GANs) have achieved great success in synthetic data generation; however, we show how in the case of radar micro-Doppler signatures, misleading signatures with poor kinematic fidelity can also be generated and degrade classification performance. Methods for improving the quality of synthetic signatures generated through adversarial learning are discussed. Results and benefits for two case studies are considered: biomedical gait analysis and recognition of American Sign Language. Linguistic and kinematic insights into the application of deep learning as well as ways in which machine learning and radar signal processing can illuminate linguistics study via RF sensing are presented. Speaker(s): Dr. Gurbuz, Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/279263

Please join us for the September 2021 meeting of the Atlanta Chapters of IEEE Engineering in Medicine and Biology Society (EMBS) and Computer Society (CS). We will be hosting John Tayler speaking on the topic of "Patterns in the Machine: A Software Engineering Guide to Embedded Development." Speaker(s): John Taylor, Agenda: 6:30 PM: Dinner/Networking 7:00 PM: Speaker TBD, Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/279695

Please join us for the September 2021 meeting of the Atlanta Chapters of IEEE Engineering in Medicine and Biology Society (EMBS) and IEEE Computer Society (CS). We will be hosting John Taylor speaking on the topic of "Patterns in the Machine, A Software Engineering Guide to Embedded Development." Speaker(s): John Taylor, Agenda: 6:30PM: Virtual networking 7:00PM: Speaker Note: This event has been converted to virtual only. Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/279696

5G represents a major departure from previous cellular generations. It will not only focus on speed, lower latency and spectrum efficiency but will also empower a number of verticals empowered by IoT, AI/ML/DL and Blockchain collecting and aggregating data for edge computing and with 6G at edge intelligence - Edge AI performing analysis and generating insightful information for critical actions in real-time or non-real-time applications. This VDL talk will cover: - A clear understanding of 5G & 6G positioning, features and roadmap- Architecture evolution pushing intelligence to the edge- Provide examples empowered by 5G/6G, IoT and AI including: - Enhanced Mobile Services (e.g. High-speed application, video streaming, gaming); - Massive Machine-type Communications (e.g. Smart homes. Smart building, Smart Cities); - Ultra-reliable and low latency communications (e.g. Self-driving car, AR/VR, Mission-critical applications) - Provide an example of network slicing for bandwidth efficiency, security and QoS. Takeaways: - Understanding why 5G and future generations such as 6G and beyond. - Example of new classes of applications and services empowered by 5G/6G - Concept of virtualization and networking slicing for the dynamic launch of new services. PresenterFawzi Behmann, President TelNet Management Consulting Inc. IEEE ComSoc DL and Director for North America Region and Board Virtual: https://events.vtools.ieee.org/m/281133

Abstract: Protection schemes capable of detecting the failure of surge arresters and/or bushings on transformers have been applied by utilities to extend the transformer zone of protection, shorten the duration of line outages and improve system reliability. This scheme typically consists of an instantaneous overcurrent element utilizing one or more current transformer(s) connected in the earth fault path. This presentation will review the benefits, lessons learned and criteria to keep in mind when implementing a fault bus scheme. The response of microprocessor relays to various transient and fault scenarios will also be reviewed. Speaker(s): Jeff Brogdon, P.E., Agenda: 11:30 Check-in and Presentation Technology Check 11:45 Presentation 12:45 Q&A Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/280402

Abstract: Protection schemes capable of detecting the failure of surge arresters and/or bushings on transformers have been applied by utilities to extend the transformer zone of protection, shorten the duration of line outages and improve system reliability. This scheme typically consists of an instantaneous overcurrent element utilizing one or more current transformer(s) connected in the earth fault path. This presentation will review the benefits, lessons learned and criteria to keep in mind when implementing a fault bus scheme. The response of microprocessor relays to various transient and fault scenarios will also be reviewed. Speaker(s): Jeff Brogdon, P.E., Agenda: 11:30 Check-in and Presentation Technology Check 11:45 Presentation 12:45 Q&A Atlanta, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/280402

You are invited to join us for lunch and learning at the IEEE Industry Applications Society - Atlanta Chapter meeting. In-person Meeting Cost: Free (Limited to 15 people with valid IEEE membership) Speaker(s): Jim Yoho, Agenda: Registration: 11:30 AM Meeting Starts: 12:00 Noon Critical Components, Inc., 120 Interstate North Pkwy SE, Suite 305, Atlanta, Georgia, United States, 30339, Virtual: https://events.vtools.ieee.org/m/281004

You are invited to join us for a virtual lunch and learning at the IEEE Industry Applications Society - Atlanta Chapter meeting. Virtual Meeting Cost: Free (Open to IEEE Members, Non-Members, and Students) Speaker(s): Jim Yoho, Agenda: Meeting Starts: 12:00 Noon ATLANTA, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/281005

You are invited to join us for a virtual lunch and learning at the IEEE Industry Applications Society - Atlanta Chapter meeting. Virtual Meeting Cost: Free (Open to IEEE Members, Non-Members, and Students) Speaker(s): Jim Yoho, Agenda: Meeting Starts: 12:00 Noon ATLANTA, Georgia, United States, Virtual: https://events.vtools.ieee.org/m/281005