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Sunday, May 29, 2016
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Call for Nominations: Provost's Award
- Location: Online
- Contact: CITS Instructional Development
- Description: The Provost's Teaching & Learning with Technology award was established in 2007 to recognize excellence in teaching and learning with technology.
The 2016 award recipient will receive $2000, an award plaque, and their name will be displayed on the Provost’s Award plaque in CITS Instructional Development.
See link for further information about award eligibility and directions for submitting nominations.
Deadline: 5:00pm EDT, Tuesday, May 31, 2016.
- Link: http://instructionaldev.umassd.edu/provosts-award/
- Topical Areas: audience: Faculty, audience: Staff, topic: Faculty Development
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Monday, May 30, 2016
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5/31
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Call for Nominations: Provost's Award
- Location: Online
- Contact: CITS Instructional Development
- Description: The Provost's Teaching & Learning with Technology award was established in 2007 to recognize excellence in teaching and learning with technology.
The 2016 award recipient will receive $2000, an award plaque, and their name will be displayed on the Provost’s Award plaque in CITS Instructional Development.
See link for further information about award eligibility and directions for submitting nominations.
Deadline: 5:00pm EDT, Tuesday, May 31, 2016.
- Link: http://instructionaldev.umassd.edu/provosts-award/
- Topical Areas: audience: Faculty, audience: Staff, topic: Faculty Development
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Tuesday, May 31, 2016
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5:00 PM
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Call for Nominations: Provost's Award
- Location: Online
- Contact: CITS Instructional Development
- Description: The Provost's Teaching & Learning with Technology award was established in 2007 to recognize excellence in teaching and learning with technology.
The 2016 award recipient will receive $2000, an award plaque, and their name will be displayed on the Provost’s Award plaque in CITS Instructional Development.
See link for further information about award eligibility and directions for submitting nominations.
Deadline: 5:00pm EDT, Tuesday, May 31, 2016.
- Link: http://instructionaldev.umassd.edu/provosts-award/
- Topical Areas: audience: Faculty, audience: Staff, topic: Faculty Development
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Wednesday, June 1, 2016
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2:00 PM
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3:00 PM
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TEA Time: NSF Career Proposals
- Location: Claire T. Carney Library
, 285 Old Westport Road, Dartmouth, MA
- Contact: > See Description for contact information
- Description: TEA Time: National Science Foundation (NSF) Career Proposals
Location: Office of Faculty Development, Claire T. Carney Library
Please contact: Sponsored Projects Administration spa@umassd.edu
- Link: http://www.umassd.edu/spa/newsevents/
- Topical Areas: Sponsored Projects Administration
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Friday, June 3, 2016
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2:00 PM
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4:00 PM
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MASTER OF SCIENCE THESIS DEFENSE BY: Tamunoala Charles-Ogan
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: A RISK BASED DESIGN FRAMEWORK FOR MAGNETIC ANOMALY DETECTION VIA A DISTRIBUTED NETTED SENSOR SYSTEM
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Large paramagnetic objects superimpose an induced dipole field onto the Earth's ambient magnetic field, thereby enabling detection of the object from a suitable configuration of magnetic sensors. The object's motion across an array of sensors permits the coherent combining of sensor measurements for improved detection of the mobile object. Neyman-Pearson based thresholding is optimal for establishing a surveillance system's operating point to meet a fixed false alarm rate however Neyman-Pearson does not incorporate useful information that is often readily available to system designers and mission planners. Such information is often available in form of various costs associated with system build and deployment as well as costs associated with false alarms and missed detections. These costs can vary across missions and fundamentally drive the operating point of a magnetic anomaly system. System and mission cost profiles can be employed with the physical signal model associated with the null and alternate hypotheses to provide the mission planner with insights into the best system operating point. In this thesis, the average cost or risk is minimized in order to not only optimize the operating detection threshold, but to choose the most suitable configuration of sensors. Thus, this thesis explores the relationship between threshold, sensor number and placement in the design of a detection system for mobile magnetic dipoles. A range of sensor fields, target ranges and cost profiles associated with various mission scenarios are considered in order to expose the fundamental relationships between profile cost and design parameters. Operating points to obtain maximal benefit from the detection system are obtained. The sensitivity of average risk as a function of the operating point is further illuminated.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Paul J. Gendron
Committee Members: Dr. John R. Buck, Department of Electrical & Computer Engineering and Dr. Alfa Heryudono, Department of Mathematics
*For further information, please contact Dr. Paul J. Gendron at 508.999.8510, or via email at pgendron@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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10:00 AM
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12:00 PM
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ECE ORAL COMPREHENSIVE EXAM FOR DOCTORAL CANDIDACY BY: Ian Max Rooney
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: APPLICATION OF MULTITAPER TO CO-PRIME SENSING ARRAYS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A
ABSTRACT:
Abstract: Co-prime sensing is a sparse spatial sampling technique for estimating spatial power spectral densities (PSD) by combining interleaved under-sampled sub-arrays. Co-prime sensing arrays match the resolution of a fully populated and uniformly sampled array and save at least 33% of the sensors. However, co-prime PSD estimates have a larger variance than a fully-populated uniform line array with equal aperture. PSD estimates evaluated with Thomson's multitaper method have a smaller variance than those determined by periodogram. The variance reduction is accomplished by averaging statistically uncorrelated estimates from the same sample data. Orthogonal tapers (specifically, the Slepian sequences) form the uncorrelated estimates at the expense of resolution. Co-prime sensing and multitaper have a natural affinity, but no prior work exploits both techniques. This research introduces an algorithm that combines both the variance reduction of multitaper and the sensor savings of the co-prime sensing array to form a spatial PSD estimator with both advantages.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advicor: Dr. John R. Buck
Committee Members: Dr. Dayalan Kasilingam and Dr. Paul J. Gendron, Department of Electrical & Computer Engineering; Dr. Kathleen E. Wage, Department of Electrical & Computer Engineering, George Mason University
*For further information, please contact Dr. John R. Buck at 508.999.9237, or via email at jbuck@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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