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Thursday, May 25, 2023
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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 William Edward Sullivan
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: Underwater Unmanned Self Track Algorithm and Platform Using the Ordinary Least Squares
Location: Science & Engineering Building (SENG), Room 212
Zoom Conference Link: https://umassd.zoom.us/j/94944515785-Sullivan
Abstract:
A tracking algorithm is developed for passively tracking an underwater vehicle without needing to transmit from an asset or platform. The algorithm requires data collected from an Inertial Measurement Unit (IMU) and detections of acoustic pulses from bottom-mounted projectors. Software is developed to collect and fuse the vehicle's IMU data with the acoustic detections data. In-water acoustic data is collected and analyzed. A least squares method is developed for synchronous self-track by converting all of the data to possible slant ranges and estimating the most likely track of the asset. The sum of squared errors is minimized for the error between slant ranges based on acoustic measurements and those of the track positions. A modified Newton-Raphson type method is used in a nested form because the regressors are all mutually dependent. The method is modified, in that the derivative of the error function is estimated by evaluating the function at three points. A tracking pinger is integrated with an IMU with acoustic receiver for feasibility.
Advisor(s):
Dr. David A. Brown, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Paul J. Gendron, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. David P. Rancour, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
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. David A. Brown at 508.999.8479 or via email at dbrown@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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1:30 PM
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2:30 PM
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Summit Financials and PeopleSoft Financials Reporting Drop IN - LIB240
- Location: Claire T. Carney Library
, 285 Old Westport Road, Dartmouth, MA
- Contact: Jean Schlesinger
- Description: Drop in to ask Questions about Summit Finance reporting and PeopleSoft Budgets Lookup and financial reports. If you are new to running reports or need extra help or have specific questions, bring your laptop to the library room 240 conference room.
- Topical Areas: Training, audience: Faculty, audience: Staff
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Blended Teaching: Designing Meaningful Content Connections
- Location: Online
- Contact: CITS Instructional Development
- Description: An engaging two-week, fully online certification course that introduces faculty to current research and best practices for blended teaching and learning. Using their own discipline-specific course materials for activities, faculty will work independently, and collaboratively with peers from across campus, and with Instructional Designers to design and build one unit of blended instruction that can be incorporated into their course(s), to enhance student engagement and meaningful content connections. This unit of instruction will meet the Quality Blended Course Review Rubric criteria and be a model that faculty can reference and replicate as they continue to develop their upcoming blended course(s) in a myCourses site.
- Link: https://instructionaldev1.sites.umassd.edu/teaching-blended/
- Topical Areas: Training, Workshop, audience: Faculty
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