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Friday, April 28, 2023
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Your Action is Needed - GIC Annual Enrollment
- Location: UMass Dartmouth
, 285 Old Westport Road, Dartmouth, MA
- Contact: Benefits
- Description: The GIC has announced major changes to the benefits offered such as:
-Tufts Navigator and Tufts Spirit will discontinue. If you do not select a new health plan by the close of business on May 3, you will be defaulted into a similar plan and you will not be able to make any changes until next year's open enrollment.
-Two new plans are replacing the UniCare Basic plan
-Some health plan options will change based on your place of residence
-National Plan has changed from UniCare Basic to Harvard Pilgrim Access America
-Other changes such as increased premiums, co-payments, new prescription provider, and new flex spending provider.
Your action is needed prior to May 3 to ensure coverage continues to meet your needs.
We strongly encourage you to attend one of the 2 remaining information sessions:
-April 14th via Zoom from 10am - 11am. Registration is required, please register at: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA
-April 20th at Main Auditorium from 2pm - 3pm. No registration is required
- Link: https://umassd.zoom.us/webinar/register/WN_wJifHgtbTZ6dHsi09VmBIA
- Topical Areas: Faculty, Staff and Administrators, Human Resources
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9:00 AM
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11:00 AM
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ELEC Doctor of Philosophy Dissertation Defense by Chencheng Zhou
- Location: > See description for location
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: Dependability Modeling and Analysis of Blockchain-Based Systems
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/98092685237
Meeting ID: 980 9268 5237 Passcode: 494029
Abstract:
The blockchain technology has immense potential in diverse applications, such as cryptocurrencies, financial services, smart contracts, supply chains, healthcare, and energy trading. Due to the business-critical and/or safety-critical nature of these applications, it is pivotal to model and evaluate the dependability of blockchain-based systems, contributing to their reliable and robust design and operation.
In this dissertation, potential risks to the blockchain-based systems are examined. Impacts of critical parameters like block size, block interval, stale block rate on the system performance are investigated through case studies. We then model and analyze the dependability of Bitcoin, a peer-to-peer cryptocurrency system built upon the blockchain technology that enables an individual user to trade freely without involving any intermediate agents. Three attack models are considered, including the Eclipse attack that aims to monopolize the information flow of the victim node, the selfish mining attack that aims to collect unfair mining rewards by intentionally withholding blocks, and the 51% attack that aims to control over 50 percent of the network nodes for gaining the power to alter the blockchain. Analytical methods based on continuous-time Markov chains, semi-Markov processes, and multi-valued decision diagram are investigated for the dependability analysis of Bitcoin nodes and networks subject to attacks. Effects of several model parameters related to the miner's habits in system protection, restart, and mining frequency, time to restart, time to detect and delete the malicious message, as well as parameters reflecting computing power and attack triggers of selfish miners and recovery capabilities of honest miners are examined. This dissertation also contributes by proposing two defensive strategies: the dynamic difficulty adjustment algorithm and the acceptance limitation policy. Case studies show that both strategies can effectively discourage dishonest selfish miners and improve the overall dependability and resilience of the system against selfish mining attacks.
Advisor(s): Dr. Liudong Xing, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Honggang Wang, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Yuzhu (Julia) Li, Professor, Department of Decision and Information Sciences, UMASS Dartmouth; Dr. Jun Guo, Professor, College of Software, Northeastern University, China
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. Liudong Xing at 508.999.8883 or via email at liudong.xing@umassd.edu.
- 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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ELEE Doctor of Philosophy Dissertation Defense by Anthony Fascia
- Location: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Spectral Projection Model for Electromagnetic Scattering and Radiation
Location: Lester W. Cory Conference Room, Science & Engineering Building (SENG), Room 213A
Zoom Conference Link: https://umassd.zoom.us/j/96090411149
Meeting ID: 960 9041 1149 Passcode: 020796
Abstract:
The Spectral Projection Model (SPM) and Direct Spectral Projection Model (DSPM) are spectral techniques for analyzing the scattering patterns from two-dimensional objects. By employing the addition theorem for Hankel and Bessel functions, SPM represents the incident and scattered electric fields in the electric field integral equation and magnetic field integral equation as projections of spectral signatures. The spectral signature of a vector which may be represented as a sum of multiple vectors is shown to be the convolution of the spectral signatures of the individual vectors. The convolution operation is performed using Hadamard products in the Fourier domain. This allows SPM to be applied to a variety of different surfaces which may be described as a sum of vectors. The far-field scattering pattern is also shown to be the Discrete Fourier Transform of the spectral signature of the currents induced on the surface. The DSPM, which evolved from SPM, identifies a set of virtual sources that are the eigenfunctions of the scattering process. The currents induced on the surface are calculated by decomposing the spectral signature of the incident sources in terms of the spectral signatures of these virtual sources. This approach applies to both far-field (scattering) and near-field (radiation) sources. Both the SPM and DSPM techniques were then applied to a variety of elliptical cylinders for waves incident from different incident angles and different polarizations. The techniques produced good agreement with well-established Method of Moments techniques. The primary motivation for developing these models was the projection process clearly identifies the physics of the scattering process by separating the spectral signature of the induced currents from the shape of the object. This allows these models to be used as a design tool for surface or target synthesis.
Advisor(s): Dr. Dayalan P. Kasilingam, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Karen L. Payton, Professor Emeritus, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Paul J. Gendron, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Gaurav Khanna, Professor, Department of Physics and Director of Research Computing, University of Rhode Island; Dr. Sadasiva Rao, Naval Research Laboratory, Washington, DC
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. Dayalan P. Kasilingam at 508.999.8534 or via email at dkasilingam@umassd.edu.
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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3:00 PM
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4:00 PM
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Financial Aid FAFSA Help Labs LARTS 202
- 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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8:00 AM
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11:00 PM
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Final Exams
- Location: UMass Dartmouth
, 285 Old Westport Road, Dartmouth, MA
- Cost: N/A
- Contact: Registrar's Office
- Description: Examinations begin today.
- Link: http://www.umassd.edu/academiccalendar/
- Topical Areas: Academic Calendar, Academic Calendar - Spring
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