Local engineering firms will be displaying information to the genral public about their central PA business activities related to civil, mechanical, chemical, electrical, electronic engineering, as well as, computer science. The displays will be located in the atrium of the Commonwealth Keystone Building located at 400 North St., Harrisburg, PA 17120 from Feb. 20 to Feb. 23. Agenda: Central PA regional engineering company displays of their business activities Room: Atrium, Bldg: Commonwealth Keystone Building, 400 North St., Harrisburg, Pennsylvania, United States, 17120

Local engineering firms will be displaying information to the genral public about their central PA business activities related to civil, mechanical, chemical, electrical, electronic engineering, as well as, computer science. The displays will be located in the atrium of the Commonwealth Keystone Building located at 400 North St., Harrisburg, PA 17120 from Feb. 20 to Feb. 23. Agenda: Central PA regional engineering company displays of their business activities Room: Atrium, Bldg: Commonwealth Keystone Building, 400 North St., Harrisburg, Pennsylvania, United States, 17120

You are cordially invite to attend the 2024 Engineers Week Banquet. The Susquehanna Section has been a major partner of the Central Pennsylvania Engineers Week Council, which hosts this yearly banquet. Date: Thursday, February 22, 2024 Time: 5PM Checkin/ Social Hour (cash bar) 6PM Dinner 7PM Awards and Program Presentation Location: Liberty Forge Golf Club, 3804 Lisburn Rd., Mechanicsburg, PA 17055 Menu Classic Chicken Oscar/Lump Crab Meat, Asparagus and Hollandaise Sauce/Chocolate Porter Braised Beef Medallions/Rich Porter Jus Stuffed Portobello/Roasted Vegetables, Quinoa, Red Bell Pepper Marinara Registration information can be found at http://www.cpewc.com Awards include: John H. McCormick Educational Outreach Award, Young Engineer of the Year Award and Engineer of the Year. Guest Speaker is: Amulya Yadav, PNC Technologies Career Development Professor, Director at RAISE Research Lab and Associate Director at Center for Soically Responsible AI, Penn State Topic: Sidestepping the Black-Box - A New Patadigm for Explainable AI Liberty Forge Golf Club, 3804 Lisburn Rd., Mechanicsburg, Pennsylvania, United States, 17055

Section meeting Speaker(s): John Gallagher, MadTree Brewing Oakley Room, 3301 Madison Rd, Cincinnati, Ohio, United States, 45209

Section meeting Speaker(s): John Gallagher, MadTree Brewing Oakley Room, 3301 Madison Rd, Cincinnati, Ohio, United States, 45209

An application of Fraction Fourier Transform is in the study of stochastic signals. In particular we observe speckles of imaging points from a SAR mapping over an annular ring. The model has eight targets arranged in a circular ring with a radius of 10 meters with a secondary ring at 50 meters. There is a center target of which an aircraft approaches. As such the signatures of both the aircraft and the speckles can at times be hard to distinguish, especially if the SAR imaging is smeared. We propose the fractional Fourier Transform as an alternative to standard Fourier Transform to filter the noisy signals and take consideration to smearing. As such we were able to isolate the signals of the targets, speckles, and aircraft. Also we see the S-method for matrix representation of signal can be incorporated with the Fratcional Fourier Transform as to generalizing the monostatic SAR model for one aircraft and a set of speckles and or targets. Co-sponsored by: Wright-Patt Multi-Intelligence Development Consortium (WPMDC), The DOD & DOE Communities Speaker(s): Ernest Agenda: An application of Fraction Fourier Transform is in the study of stochastic signals. In particular we observe speckles of imaging points from a SAR mapping over an annular ring. The model has eight targets arranged in a circular ring with a radius of 10 meters with a secondary ring at 50 meters. There is a center target of which an aircraft approaches. As such the signatures of both the aircraft and the speckles can at times be hard to distinguish, especially if the SAR imaging is smeared. We propose the fractional Fourier Transform as an alternative to standard Fourier Transform to filter the noisy signals and take consideration to smearing. As such we were able to isolate the signals of the targets, speckles, and aircraft. Also we see the S-method for matrix representation of signal can be incorporated with the Fratcional Fourier Transform as to generalizing the monostatic SAR model for one aircraft and a set of speckles and or targets. Virtual: https://events.vtools.ieee.org/m/408356