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Sunday, August 13, 2017
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11:00 AM
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7:00 PM
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SMAST Research Exhibit: Boston Seafood Festival
- Location: > See description for location
- Cost: $15.00
- Contact: > See Description for contact information
- Description: SMAST research will be on display at the 6th Annual Boston Seafood Festival on the historic Boston Pier. Learn about the fisheries and technology research taking place at SMAST as well as the various marine science and technology graduate programs. Tickets may be purchased in advance through the Boston Seafood Festival website or at the event.
SMAST seeks booth volunteers. Contact Crista Bank at cbank@umassd.edu.
- Link: http://bostonseafoodfestival.org/
- Topical Areas: General Public, Students, Students, Undergraduate, University Marketing
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Monday, August 14, 2017
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10:00 AM
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12:00 PM
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MASTER OF SCIENCE THESIS DEFENSE BY: Prabin K. Shrestha
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: TOPIC: APPLICATION OF MUSIC ALGORITHM FOR SEPARATING GROUND AND VEGETATION COMPONENTS IN POL-INSAR MEASUREMENTS
LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
ABSTRACT:
Interferometric Synthetic Aperture Radar (InSAR) is used to generate Digital Elevation Map (DEM) from multiple high resolution SAR images. The phase values of the complex reflection images are used to yield scattering phase center (SPC) which is then used to extract elevation information for each pixel of an image. Interferometry assumes that the return from a pixel can be associated with a single SPC at a fixed elevation. This is not the case for forested terrain as elevation of vegetation and elevation of ground results in two SPCs leading to errors in DEM estimates of the terrain. Fully polarimetric SAR (PolSAR) measurements have the potential to separate different scattering mechanisms based on their polarimetric signatures. The multiple signal classification (MUSIC) algorithm is an array based direction of arrival (DoA) estimation technique that exploits eigen structure of input data matrix. It can be implemented to provide asymptotically unbiased estimates of number of signals, DoA’s and polarizations. In this thesis, MUSIC is used by incorporating polarimetry to separate the scattering centers associated with ground and vegetation components in polarimetric SAR interferometry (Pol-InSAR) measurements. The sensitivity of the MUSIC algorithm to noise and vegetation level is investigated using simulated data. Simulations shows that the probability of detection of the vegetation component decreases with decreasing SNR and vegetation level. Furthermore, the error in the estimate of the ground component increases with an increase in vegetation level due to higher vegetation bias. The MUSIC algorithm is also verified by using L-band Pol-InSAR field measurements from Glenn Affric region.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Dayalan P. Kasilingam
Committee Members: Dr. John R. Buck and Dr. Karen L. Payton, Department of Electrical & Computer Engineering
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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2:00 PM
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4:00 PM
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Master of Science Thesis Defense by: Ferdousi Sabera Rawnaque
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Comparing the Effect of Aperture Extension on the Peak Sidelobe Level of Sparse Arrays
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Abstract:
This thesis compares the Peak Sidelobe Levels (PSLs) of the beampatterns of filled and sparse arrays as a function of aperture both with numerical simulations and experimental data. Four array geometries are compared. A Uniform Linear Array (ULA) evenly spaces sensor elements to achieve low PSLs. Minimum Redundancy Arrays (MRAs) and Minimum Hole Arrays (MHAs) span the equivalent aperture of a ULA with fewer sensors. Another category of sparse arrays, Co-prime Sensor Arrays (CSAs) interleave a pair of ULAs undersampled by co-prime factors. CSA measurements can be processed by either conventional delay-and-sum processing or product processing of the subarrays. This work finds that the PSLs of MRAs, MHAs and the conventionally processed CSAs are much higher than the ULA PSL and nearly insensitive to aperture extension. In contrast, CSA product processing decreases the PSL with increasing aperture, eventually matching the PSL of a ULA. The PSLs measured from experimental data support the theoretical findings.
Note: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. John R. Buck
Committee Members: Dr. Dayalan P. Kasilingam and Dr. Karen L. Payton, Department of Electrical & Computer Engineering
*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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12:00 AM
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8/18
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Tuesday, August 15, 2017
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12:00 AM
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1:00 AM
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Discussion of Employee Job Classification System/Employee
- Location: > Other on campus location, contact host
- Contact: > See Description for contact information
- Description: The consulting group, McKnight and Associates, has been hired to evaluate and re-design our current job classification system.
Staff members are invited to attend a focus group meeting with the consultant.
These meetings will explore:
· Areas of strength in the classification and compensation program;
· Areas in which improvements seem needed; and,
· Specific actions UMassD might take to achieve improvements.
Sessions are limited to 12 people. Sessions will be held in the Board of Trustees Room.
Contact Verena Lisinski, vlisinski@umassd.edu, x8609, with questions.
- Topical Areas: Workshop, audience: Staff
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Wednesday, August 16, 2017
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Thursday, August 17, 2017
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2:00 PM
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3:30 PM
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New Employee Orientation
- Location: CCB 115
- Contact: Human Resources
- Description: New Employee Orientation
- Topical Areas: audience: Faculty, audience: Staff, Human Resources, Training
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1:00 PM
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2:00 PM
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EAS Doctoral Defense by Ahmed Soliman
- Location: CIE: Center for Innovation & Entrepreneurship
, 151 Martine Street, Fall River, MA
- Contact: EAS Seminar Series
- Description: TITLE: UTILIZING FAILURE ENVELOPE APPROACH TO CHARACTERIZE FATIGUE/FRACTURE RESISTANCE OF ASPHALT MIXTURES USING THE SEMI-CIRCULAR BENDING TEST
Abstract:Characterizing fatigue/fracture resistance of asphalt mixtures has been a big challenge for decades. Many laboratory tests were developed utilizing different theories to characterize fatigue/fracture performance of asphalt binder/mixtures. In many cases, the currently used laboratory tests do not provide universal agreement different tests will rank the fatigue/fracture characteristics of tested mixtures differently. Furthermore, the current test do not provide good correlation to field data.
The Semi-Circular Bending (SCB) test is currently one of the simple tests that can be used to characterize fatigue/fracture performance of asphalt mixtures. However, an empirical method is used to analyze the data obtained from this test. A proposed mathematical approach was used to analyze the data. The results from this approach were compared to the current empirical method. A wide range of asphalt mixtures was tested at different temperatures and failure envelopes were developed to better understand the fatigue/fracture behavior of asphalt mixtures. Results showed good correlation between the currently used and the new mathematical analyses. Recommendations were carried out for the current SCB testing protocol.
Proposed failure envelope approach was found to be sensitive to different factors affecting fatigue/fracture performance of asphalt mixtures. Further work is ongoing to generalize the proposed failure envelope so that it includes most of the parameters that affect fatigue/fracture performance of asphalt mixtures. Another major goal is to correlate the proposed failure envelope to the rheological parameters of asphalt binders.
- Topical Areas: University Community, Mathematics, Civil and Environmental Engineering, College of Engineering, CIE: Center for Innovation & Entrepeneurship
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