Solving Aging Infrastructure Challenges with Solid Dielectric Equipment – ABB

Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

• Brief history of Elastimold and origin of cable accessories • Vacuum interrupter technology and evolution • Solid Dielectric Switchgear applications, advantages and retrofits • Switchgear relaying and options • Conversion examples of oil, SF6 and air switchgear to Solid Dielectric • Recloser construction, operation, and applications Speaker(s): Abe Shocket, Brent Schwartzwald Agenda: The seminar fee includes lunch, refreshments and handouts. Non-members joining IEEE within 30 days of the seminar will be rebated 50% of the IEEE registration charge. Four hours of instruction will be provided. If desired, IEEE Continuing Education Units (0.4 CEUs) will be offered for this course - a small fee of $55 will be required for processing. Please pay attention to the “Registration Fee” and choose the appropriate choice either with or without CEUs. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) At this time, our attendance is being limited to fifty (50). Please only register if you know you are going to attend, and you must be registered to participate. Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

Artificial General Intelligence (AGI)-Native Wireless Systems with Common Sense

Virtual: https://events.vtools.ieee.org/m/409919

Special Presentation by Prof. Walid Saad (Virginia Tech, USA) Hosted by Future Networks Artificial Intelligence & Machine Learning (AIML) Working Group Date/Time: Thursday, March 21st, 2024 @ 12:00 UTC [] Topic: Artificial General Intelligence (AGI)-Native Wireless Systems with Common Sense Abstract: Next-generation wireless systems, such as 6G and beyond, are expected to tightly embed artificial intelligence (AI) into their design, giving rise to what is termed AI-native wireless systems. Remarkably, despite significant academic, industrial, and standardization efforts dedicated to AI-native wireless systems in the past few years, even the very definition of such systems remains ambiguous. Presently, most endeavors in this domain represent incremental extensions of conventional "AI for wireless" paradigms, employing classical tools like autoencoders, diffusion models, or large-language models to replicate established wireless functionalities. However, such approaches suffer from inherent limitations, including the opaque nature of the adopted AI models, their tendency toward curve-fitting, reliance on extensive training data, energy inefficiency, and limited generalizability to novel new, unseen scenarios and out-of-domain/out-of-distribution data points. To surmount these challenges, in this talk, we unveil a bold, pioneering framework for the development of artificial general intelligence (AGI)-native wireless systems. We particularly show how the fusion of wireless systems, digital twins, and AI can catalyze a transformative, revolutionary paradigm shift in both wireless and AI technologies by conceptualizing a next-generation AGI architecture imbued with "common sense" capabilities, akin to human cognition. This architecture is envisioned to empower networks with reasoning, planning, and other human-like cognitive faculties such as imagination and deep thinking. We first define the technical tenets of common sense and, subsequently, we demonstrate how the proposed AGI architecture can instill a new level of generalizability, explainability, and reasoning into tomorrow’s wireless networks, liberating them from their conventional physical constraints. We then discuss how AGI-native wireless systems can unleash novel use cases such as digital twins with analogical reasoning, resilient experiences for cognitive avatars, and brain-level holographic experiences. Following the establishment of the foundational principles and components of AGI-native wireless systems, we take a significant stride forward by forging a link with the emerging concept of semantic communications. In doing so, we demonstrate how the integration of causal reasoning (a key component of our AGI vision) with semantic communication can usher in a new era of knowledge-driven, reasoning AGI-native wireless systems. These systems represent a major departure from today’s data-driven, knowledge-agnostic models, offering enhanced sustainability and resilience in their design and operation. We present our recent key results, rooted in AI, theory of mind, digital twins, and game theory, laying the groundwork for the realization of AGI-native wireless systems, and illustrating how our designed framework reduces data volume in networks while enhancing reliability, crucial for next-generation wireless services like connected intelligence and holography. We conclude with a discussion on the exciting opportunities in this field that can help redefine the intersection of wireless communications and AI. Co-sponsored by: IEEE Future Networks Speaker(s): Prof. Walid Saad Virtual: https://events.vtools.ieee.org/m/409919

Engineering Ethics – TECHNO ELECTRICS

Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

Engineering Ethics - The study of the general nature of morals and of the specific moral choices to be made by a person’s moral philosophy - The rules or standards governing the conduct of a person or the members of a profession organization ethics - Encompasses the more general definition of ethics, but applied it more specifically to situations involving engineers in their professional lives. - Engineering ethics often involves choices on an organizational level rather than personal level. - Review the existing NJ statutes governing professional licensed practices and how these statutes incorporate ethical rules of conduct; - Present case studies of current headlines that could have ethical aspects - Conclude with a general discussion of professional ethics in a global economy including the impact of the Foreign Corrupt Practices Act on engineers (e.g., the Anti-bribery Provisions) Speaker(s): Constantine Papademas Agenda: This Engineering Ethics session will immediately follow our regularly scheduled monthly session. These will both require separate registrations. There will be a fee for ALL participants. The cost for ALL participants will be $150. Two hours of instruction will be provided. CEU Evaluation Form can be found at: (https://innovationatwork.ieee.org/ieee-pes-northjersey-certificates/) At this time, our attendance is being limited to fifty (50). Please only register if you know you are going to attend, and you must be registered to participate. Room: Aruba Room, Bldg: PSE&G - Hadley Road Facility, 4000 Hadley Road, South Plainfield, New Jersey, United States, 07080

IEEE LONG ISLAND SECTION 2024 AWARDS CEREMONY AND DINNER SPONSOR

Bldg: Crest Hollow Country Club, 8325 Jericho Turnpike, Woodbury, New York, United States, 11797

The IEEE Long Island Section is proud of its collaboration with many premier companies and organizations on Long Island, many of which participate in this grand affair each year. The Awards Banquet is a unique opportunity for companies and organizations to showcase their local presence and support for the best and brightest in the industry. SUPPORT LEVEL Cost Acknowledgment Platinum Supporter $2500 - One table (10 seats) - Full page ad in Banquet Program and a listing in the Supporter Honor Roll - One-year listing in the LI Section Pulse publication - Additional tables for $1000 - Four registrations to the 2024 LISAT Conference Gold Supporter $2000 - One table (10 seats) - Half-page ad in Banquet Program and a listing in the Supporter Honor Roll - Additional tables for $1000 - Four registrations to the 2024 LISAT Conference Silver Supporter $1500 - 6 complimentary tickets - Quarter page ad in Banquet Program and a listing in the Supporter Honor Roll - Two registrations to the 2024 LISAT Conference Bronze Supporter $1000 - 4 complimentary tickets - Quarter page ad in Banquet Program and a listing in the Supporter Honor Roll - Two registrations to the 2024 LISAT Conference Advertisement Option A $750 - Full page ad in Banquet Program - Listing in the Supporter Honor Roll Advertisement Option B $550 - Half page ad in Banquet Program - Listing in the Supporter Honor Roll Advertisement Option C $250 - Quarter page ad in Banquet Program - Listing in the Supporter Honor Roll Reception Co-Supporter $500 - Poster (2’ x 1.5’, supplied by co-sponsor) - Listing in the Supporter Honor Roll Submit electronic ad copy with your check, payable to IEEE Long Island Section: Santo Mazzola 65 Tyler Ave, West Sayville, NY 11796 [email protected] The deadline for inclusion in the Banquet Program is March 5, 2024. Payment is due at time of order. Awards Banquet Program Ad Guidelines: AD SIZE: ● Full Page: 7.50" w x 10.00" h ● Half Page: 7.50" w x 4.875" h ● 1/4 page: 3.625" w x 4.875" h FORMATS: ● Adobe Illustrator (preferred) ● EPS (AI preferred) ● PDF GUIDELINES: ● All fonts should be outlined ● All logos should be in Vector Art format ● All pixel/raster images should be hi-resolution, 300 dpi or higher Agenda: 5:30 - 7:00 pm: Arrival, Cocktail Hour and Networking 7:00 - 8:00 pm: Keynote Address and Presentation of Awards - Section Awards - Alex Gruenwald Award: Dr. Andrew Sass - Jesse Taub Lifetime Achievement Award: Bill Wilkes - Charles Hirsch Award: Art Salander - Athanasios Papoulis Outstanding Educator Award: Dr. Milan Toma - Outstanding Young Engineer Award: James Martino - Velio Marsocci Outstanding Student Chapter Branch Award: Stony Brook University IEEE Branch - Long Island Section Outstanding Volunteer Award: Lonni Mae Chu - Region 1 Awards - Outstanding Support for the Mission of the IEEE (MGA, Region 1 and/or Section Award): Lorenzo Lo Monte 8:00 - 9:00 pm: Dinner 9:00 - 9:30 pm: Dessert and Closing Remarks Bldg: Crest Hollow Country Club, 8325 Jericho Turnpike, Woodbury, New York, United States, 11797

Python Applications for Signal Processing and Digital Design

Virtual: https://events.vtools.ieee.org/m/398498

(https://ieeeboston.org/event/pythonapplications/?instance_id=3232) Course Kick-off / Orientation 6:00PM - 6:30PM EDT; Thursday, February 29, 2024 First Video Release, Thursday, February 29, 2024. Additional videos released weekly in advance of that week’s live session! Live Workshops: 6:00PM – 7:30PM EDT; Thursdays, March 7, 14, 21, 28, 2024 Registration is open through the last live workshop date. Live workshops are recorded for later use. Registration Fees: IEEE Member Early Rate (by February 15): $190.00 IEEE Member Rate (after February 15th): $285.00 IEEE Non-Member Early Rate (by February 15): $210.00 IEEE Non-Member Rate (after February 15): $315.00 Decision to run/cancel course: Thursday, February 22, 2024 Course Information will be distributed on Thursday, February 29 in advance of and in preparation for the first live workshop session. A live orientation session will be held on February 29, 2024. Attendees will have access to the recorded session and exercises for two months (until May 28, 2024) after the last live session ends! This is a hands-on course combining pre-recorded lectures with live Q&A and workshop sessions in the popular and powerful open-source Python programming language. Pre-Recorded Videos: The course format has been updated to release pre-recorded video lectures that students can watch on their own schedule, and an unlimited number of times, prior to live Q&A workshop sessions on Zoom with the instructor. The videos will also be available to the students for viewing for up to two months after the conclusion of the course. Overview: Dan provides simple, straight-forward navigation through the multiple configurations and options, providing a best-practices approach for quickly getting up to speed using Python for modelling and analysis for applications in signal processing and digital design verification. Students will be using the Anaconda distribution, which combines Python with the most popular data science applications, and Jupyter Notebooks for a rich, interactive experience. The course begins with basic Python data structures and constructs, including key “Pythonic” concepts, followed by an overview and use of popular packages for scientific computing enabling rapid prototyping for system design. During the course students will create example designs including a sigma delta converter and direct digital synthesizer both in floating point and fixed point. This will include considerations for cycle and bit accurate models useful for digital design verification (FPGA/ASIC), while bringing forward the signal processing tools for frequency and time domain analysis. Jupyter Notebooks: This course makes extensive use of Jupyter Notebooks which combines running Python code with interactive plots and graphics for a rich user experience. Jupyter Notebooks is an open-source web-based application (that can be run locally) that allows users to create and share visually appealing documents containing code, graphics, visualizations and interactive plots. Students will be able to interact with the notebook contents and use “take-it-with-you” results for future applications in signal processing. Target Audience: This course is targeted toward users with little to no prior experience in Python, however familiarity with other modern programming languages and an exposure to object-oriented constructs is very helpful. Students should be comfortable with basic signal processing concepts in the frequency and time domain. Familiarity with Matlab or Octave is not required, but the equivalent operations in Python using the NumPy package will be provided for those students that do currently use Matlab and/or Octave for signal processing applications. Benefits of Attending / Goals of Course: Attendees will gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python. All set-up information for the installation of all tools will be provided before the start of class. Speaker(s): Dan Boschen , Agenda: Topics / Schedule: Pre-recorded lectures (3 hours each) will be distributed Friday prior to all Workshop dates. Workshop/ Q&A Sessions are 6pm-7:30pm on the dates listed below: Kick-off / Orientation: February 29, 2024 Thursday, March 7, 2024 Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Core Python constructs. Thursday,March 14, 2024 Topic 2: Core Python constructs; iterators, functions, reading writing data files. Thursday, March 21, 2024 Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib. Thursday, March 28, 2024 Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packages Virtual: https://events.vtools.ieee.org/m/398498

Buffalo Section ExCom meeting

Room: 148, Bldg: Technology, 1300 Elmwood Ave,, Buffalo, New York, United States, 14222, Virtual: https://events.vtools.ieee.org/m/411152

Monthly ExCom meeting Agenda: IEEE Buffalo Section Executive Committee Meeting Agenda 6:30 PM, Thursday, March 21, 2024 In Person (SUNY Buffalo State University, Technology Building 148) Virtual on Zoom 1) Call to Order 2) Review minutes from February 2024 meeting (Vasili) 3) Review treasurer report (Mike W) 4) Review Membership Report (Mike W) 5) Events Past events a. Better Cable/Pipe Sealing – Steve Rhoads b. Awards dinner New events c. Upcoming Events i. TeraTech Conference – Vasili ii. R!/R2 Student Section Conference 6) Other Business i. Section Historian 7) Action Items from November Meeting i. Discussions on forming Education Society chapter – progress report 8) Membership/Society a. EDS b. Computer c. Control d. Communication e. TEMS f. AP/MTT g. PES h. Women in Engineering i. Young Professionals j. Life Members k. NTC l. Photonics 9) Review New Action Items 10) Adjourn Next ExCom Meetings / Locations: TBD Room: 148, Bldg: Technology, 1300 Elmwood Ave,, Buffalo, New York, United States, 14222, Virtual: https://events.vtools.ieee.org/m/411152

The Real Case for Autonomous Vehicle Mobility

Room: Room 105, Bldg: Princeton University Computer Science Building, 35 Olden St., Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/408443

Driverless vehicles have a future in making the world better. Alain Kornhauser will discuss mobility technology and its role in improving people’s quality of life. Today, there is significant inequality in the availability of mobility, so why can’t new technology be employed to help level the mobility playing field? It’s better than just being another toy for those that already have way too many toys. Alain will discuss the details of a specific proposed system – a Trenton mobility project called Mobility and Opportunity: Vehicles Equity System (MOVES) – to show what mobility might look like in places like Trenton and Mercer County. Speaker(s): Alain Kornhauser, Room: Room 105, Bldg: Princeton University Computer Science Building, 35 Olden St., Princeton, New Jersey, United States, 08544, Virtual: https://events.vtools.ieee.org/m/408443