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The parade steps off from Buttonwood Park at 11:00 AM The parade route is Union Street, Acushnet Avenue, Grinnell Street, Purchase Street ending at the Cape Verdean Veteran's Memorial Hall. The Parade Grand Marshal For 2024 will be Viola Pina. The Parade will be followed by the Kultura Festa Held at the Serenity Gardens Field, 11:00 AM - 6:00 PM, between Bedford Street, South Sixth Street, Wing Street & Pleasant Street with live music, cultural food, vendors and much more. Contact Diane Gomes at dgomes@umassd.edu for information.
Topic: Machine Learning Optimization for Dynamic Spectrum Awareness Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A Zoom Link: https://umassd.zoom.us/j/99705551586 Meeting ID: 997 0555 1586 Passcode: 604747 Abstract: This dissertation proposes a machine learning-based approach focused on improving dynamic spectrum awareness in wireless communications. The approach is comprised of four main components: network optimization with genetic algorithm convolutional neural networks (GACNN), which focuses on optimizing neural network architectures for specific tasks to reduce the complexity and cost of the network optimization process; unsupervised prototype learning, which uses hierarchical clustering and a prototype-based learning objective to estimate signal-to-noise ratio (SNR) regions and perform modulation classification to improve the identification of new spectrum users; deep neural network explainable AI (DNN XAI), which will develop methods to increase the transparency and interpretability of machine learning models in deep neural networks to ensure compliance with spectrum regulatory standards; and lastly, incremental learning class representation drift, which will evaluate the performance of incremental learning methods in baseband modulation classification to establish a continuous learning process that adapts to dynamic environments. By addressing gaps in current spectrum management techniques, these components aim to improve spectrum utilization, increase machine learning-based communication interpretability, and provide an informed model for future spectrum management strategies. Advisor(s): Dr. Ruolin Zhou, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth Committee Members: Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Alfa Heryudono, Associate Professor, Department of Mathematics, UMASS Dartmouth; Dr. Eugene Chabot, Engineer, Naval Undersea Warfare Center (NUWC) NOTE: All ECE Graduate Students are ENCOURAGED to attend. All interested parties are invited to attend. Open to the public. *For further information, please contact Dr. Ruolin Zhou via email at ruolin.zhou@umassd.edu.
Mechanical Engineering MS Thesis Defense by Mr. Daniel J. O'Coin DATE: July 23, 2024 TIME: 2:00 p.m. - 4:00 p.m. LOCATIONS: Science & Engineering (SENG) Building, Room 110 and on Zoom: https://umassd.zoom.us/j/94136706089?pwd=xwKSJQdtQ0iDdJ5gj0XU4cqfQBweNY.1 (Password: 443450) TOPIC: An Experimental Study of Bubble Formation on Super-Hydrophobic Surfaces ABSTRACT: This thesis experimentally studied the bubble formation on a superhydrophobic surface (SHS), which had a large equilibrium water contact angle (>150). Bubble formation is a crucial process for many industrial and biomedical applications, for example, pool boiling heat transfer, froth floatation, surface cleaning, and drug deliver. In this thesis, we captured the bubble formation under constant gas flow rates by using a high-speed camera. The SHS was fabricated by first sandblasting an aluminum surface and then coating the rough surface with hydrophobic nanoparticles. We systemically investigated the impacts of radius of SHS (RSHS), gas flow rate (Q), and surface tension () on bubble formation and bubble detached volume (Vd). First, we found that depending on RSHS, bubble formation followed two different modes: Mode A and Mode B. In Mode A for small RSHS, the contact line quickly pined at the rim of SHS after an initial expansion, and Vd increased as increasing RSHS. In Mode B for large RSHS, the contact line continuously expanded as the bubble grows. Second, we found that Vd increased as increasing Q, and the relation between Vd and Q followed similar trends after proper normalizations, regardless of the types of surfaces and the values of equilibrium contact angle. During the necking, the bubble volume was nearly constant for small Q but increased significantly for large Q. Third, we found that as reducing , the equilibrium contact angle and surface area covered by gas reduced, leading to a smaller bubble base radius and smaller Vd. Moreover, we performed a force balance analysis and found that the main forces acting on the bubble were one lifting force (pressure force) and two retaining forces (surface tension force and buoyancy force). We found that the necking radius and time to pinch-off followed a power-law relation, which agreed well with that for the pinch-off of bubble on a nozzle. Last, we found that the Tate volume, derived based on the balance between surface tension and buoyancy, well predicted Vd. Overall, our results provided a better understanding of bubble formation on SHS and can be applied for: (i) the control of bubble generation by using complexed surfaces; and (ii) restoration of gas layer and extension of the longevity of SHS for applications such as drag reduction, anti-icing, anti-biofouling, and anti-corrosion. ADVISORS: - Dr. Hangjian Ling, Assistant Professor, Department of Mechanical Engineering, UMass Dartmouth COMMITTEE MEMBER: - Dr. Sankha Bhowmick, Professor, Department of Mechanical Engineering, UMass Dartmouth - Dr. Mehdi Raessi, Professor, Department of Mechanical Engineering, UMass Dartmouth Open to the public. All MNE students are encouraged to attend. For more information, please contact Dr. Hangjian Ling (hling1@umassd.edu).
Each year, Convocation is held in the Amphitheatre and is a ceremony that celebrates the beginning of the academic year and welcomes our new students to campus. After the ceremony ends at 11:30 a.m., all students, faculty, and staff are invited to the All-Campus BBQ on the Quad. Contact publicaffairs@umassd.edu for more info.
Annual STEM4Girls Day takes place across campus in various locations including LARTS, SENG, Library, CC Auditorium and Grove. For more information please email kwelty@umassd.edu