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Sunday, December 18, 2022
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8:00 AM
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11:00 PM
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Monday, December 19, 2022
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8:00 AM
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11:00 PM
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Tuesday, December 20, 2022
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10:00 AM
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12:00 PM
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ELE Master of Science Thesis Defense by Jason Lee Poirier
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: DESIGN OF MILLIMETER WAVE RADIO-OVER-FIBER COMMUNICATION CHANNEL FOR USE IN 5G/6G WIRELESS INFRASTRUCTURE
Location: Science & Engineering Building (SENG), Room 222
Zoom Conference Link: https://umassd.zoom.us/j/93997638959
Meeting ID: 939 9763 8959
Passcode: 917057
Abstract:
Millimeter wavelength (mmWave) electromagnetic waves have found recent use in the deployment of the fifth generation (5G) of cellular data. In just 2021, 5G accounted for 10% of the total global data traffic and is forecasted to rise to 60% in 2027 [1]. However, mmWave bands are limited in penetrative abilities and often require line-of-sight (LOS) connection with signal drops occurring frequently. This leads to limitations in the scalability of mmWave data communications and widespread expansion of 5G and future 6G. To facilitate the expansion of mmWave, small transceiver cells integrated with existing fiber optic networks through radio frequency over fiber (RoF) can provide a viable solution. Radio over fiber is used for transmitting RF signals over long distances through optical fiber. The advantages of RoF include lower loss, improved flexibility, immunity to electromagnetic interference, and most importantly higher data capacity. This work presents the theory, design, and experimental results of two potential solutions for mmWave integration with RoF. The first solution presented is the usage of optical frequency down-conversion where an RF signal can be frequency down-converted using two lasers interfering. This solution is verified experimentally using commercially available bulk lithium niobate modulators at X-band. The second solution combines classical electrical receiver architecture with a high intermediate frequency compatible with conventional RoF links. The modeling and design work includes the creation of a wideband antenna resonant at 82GHz and layout of the necessary commercial of the shelf parts to perform electrical down-conversion.
Advisor(s):
Dr. Yifei Li, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. David Brown, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Dayalan Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Tariq Manzur, Adjunct Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Scientist & 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. Yifei Li via email at yifei.li@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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Wednesday, December 21, 2022
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11:00 AM
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12:00 PM
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Department of Estuarine and Ocean Sciences PhD Dissertation Defense by Adrienne Silver
- Location: > See description for location
- Contact: > See Description for contact information
- Description: The School for Marine Science and Technology
Department of Estuarine and Ocean Sciences
PhD Dissertation Defense
“A Multiscale and Multidisciplinary Investigation of the Gulf Stream System, its Rings and their Impacts”
By
Adrienne Silver
Advisor
Avijit Gangopadhyay
Committee
Steven Lohrenz, School for Marine Science and Technology at the University of Massachusetts Dartmouth
Gavin Fay, School for Marine Science and Technology at the University of Massachusetts Dartmouth
Glen Gawarkiewicz, Woods Hole Oceanographic Institution
Magdalena Andres, Woods Hole Oceanographic Institution
Wednesday, December 21, 2022
11:00 am
SMAST East Rooms 101/102/103
and via Zoom
Abstract:
This work can be divided into three main research areas. The first study focused on the Gulf Stream system as a whole. A Gulf Stream North Wall forecasting model was created (Silver et al, 2021a) using wind and buoyancy forcing. An existing model with multiple parameters including the previous year's Gulf Stream North Wall index, location and amplitude of the Icelandic Low center, and the Southern Oscillation Index was augmented with basin-wide Ekman drift over the Azores High and validated over the last 40 years. Results indicate the possibility of better understanding and enhanced predictability of the dominant wind-driven variability of the Atlantic Meridional Overturning Circulation and of fisheries models that use the Gulf Stream path as a metric. A related work found that ring formation behavior has been asymmetric over both interannual and seasonal time-scales. Warm Core Ring formation underwent a regime shift in the year 2000 whereas Cold Core Ring formation rates remained consistent over the last forty years (Silver et al. 2021b). This increase in Warm Core Ring production leads to an excess heat transfer of 0.10 PW to the Slope Sea, amounting to 7.7–12.4% of the total Gulf Stream heat transport, or 5.4–7.3% of the global oceanic heat budget at 30°N. Seasonally, a higher (lower) number of cold rings formed in winter (summer) than warm ones. The second section of my dissertation follows a Warm Core Ring as it moves through the Slope Sea using a 10 year Ring trajectory dataset (Silver et al., 2022a,b). This analysis reveals a very narrow band between 66° and 71°W along which rings travel almost due west along ∼39°N across isobaths – the “Ring Corridor.” The rings generated to the west of the New England Seamount Chain by a process called an aneurysm tend to have shallower vertical extent than those formed by a pinch-off mechanism from Gulf Stream to the east of the New England Seamount Chain. The last section of my dissertation focuses on the impact of a Warm Core Ring hitting the shelfbreak via an shelfbreak exchange process called the mid-depth salinity maximum intrusion. This work found the first observational evidence of a regime-shift for Salinity Maximum intrusions in the northeast US shelf waters which corresponded to a regime shift in the occupancy of Warm Core Ring along the shelfbreak. This part also links changes in the Gulf Stream with the shifts in the shelf ecosystem through exchanges of water, nutrients and plankton.
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For additional information, please contact Sue Silva at s1silva@umassd.edu
- Topical Areas: School for Marine Sciences and Technology, SMAST Seminar Series
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3:00 PM
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4:00 PM
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Financial Aid FAFSA Help Labs
- Location: > See description for location
- Contact: > See Description for contact information
- Description: Financial Aid Services wants to remind all students to file their FAFSA! Join Financial Aid Services for FAFSA Help Labs in LARTS 202 on Wednesdays and Fridays from 3-4pm for help filing your FAFSA and learning more about financial aid.
Contact Mark Yanni
myanni@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate, Financial Aid
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Thursday, December 22, 2022
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10:00 AM
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12:00 PM
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ELEC Oral Comprehensive Exam for Doctoral Candidacy by Todd Matthew Morehouse Jr.
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: A Machine Learning-enabled Intelligent, Adaptive, and Autonomous Radio System
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: Zoom Link
Meeting ID: 997 4288 6665
Passcode: 391787
Abstract:
Wireless communications continue to see advancements from machine learning (ML) and artificial intelligence (AI). Typically, this is applied to individual components, attempting to add new capabilities, or enhance old ones. Little research has been done in the combination of these different components, to create a complete intelligent radio. This dissertation proposal aims to further the research of these components, and to combine these into an intelligent radio system. The proposed system intends to perform spectrum sensing, channel allocation, and software-defined transceiver signal processing, all enabled by ML. The goal of the design is to progress research into applying ML to these tasks in wireless systems. Specifically, Faster Region-based Convolutional Neural Network (FRCNN) along with open world learning will be leveraged in spectrum sensing and signal characterization. Multiple signals in cluttered RF environments will be simultaneously localized and characterized, including new-to-the-network signals by designing novelty detection and incremental learning using 1-D baseband raw data. The results of the spectrum sensing algorithm will be used to separate multiple signals in time domain. ML will be applied to enhance the signals by reducing channel effects. These enhanced signals are then demodulated using a deep learning approach. Finally, reinforcement learning is used to reconfigure the RF frontend, by allocating part of the wireless spectrum to transmit over. Such an intelligent radio system is anticipated to advance end-to-end communications, spectrum awareness, and electronic warfare.
Advisor(s): Dr. Ruolin Zhou, Assistant Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Dayalan Kasilingam, Professor and Chairperson, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Honggang Wang, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Dr. Vasu Chakravarthy, AFRL Fellow, Principal Electronic Engineer, Cognitive EW Research Lead
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 at 508.910.6922 or via email at Ruolin.zhou@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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