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Monday, July 25, 2022
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10:00 AM
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1:30 PM
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New Employee Orientation
- Location: > See description for location
- Contact: Human Resources
- Description: New Employee Orientation is held on a biweekly basis throughout the year for new employees of the University. Attendance at an Orientation session is a mandatory component of the onboarding process. This session will cover a wide range of topics to guide new employees in their transition to the University, including, but not limited to: HR policies; procedures; an overview of key departments and their functions, and detailed benefits information.
Location: TBD
- Topical Areas: Faculty, Staff and Administrators
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10:30 AM
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12:30 PM
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ECE - CPE Master of Science Thesis Defense by Dylan R. Tocci
- Location: > See description for location
- Cost: Free
- Contact: ECE: Electrical & Computer Engineering Department
- Description: Topic: Decentralized Reinforcement Learning with FPGA Acceleration for Anomaly Detection in UAV Network
Location: Science & Engineering Building (SENG), Room 212
Zoom Conference Link: https://umassd.zoom.us/j/98135954802
Meeting ID: 981 3595 4802
Passcode: 759903
Abstract:
The field of cybersecurity is continually growing as new and more adaptive threats rise. Not only this, but as the Internet of Things (IOT) becomes more widespread, devices that need security also further diversifies. This thesis explores the use of machine learning as a method to adapt to new cybersecurity threats for unmanned aerial vehicle (UAV) security, without the need for centralization. In the proposed model, a UAV serves as a relay between ground users and a cloud server. Ground users send data through the UAV relay to the cloud server, with the possibility of malicious users also sending data. The UAV provides an intrusion detection system (IDS) for the cloud server, blocking or forwarding packets based on a reinforcement learning Deep-Q Network (DQN). The network used was trained on the CICIDS2017 data set, with a classification accuracy of 86.5% across six classes, and an anomaly detection accuracy of 99.9%. Additionally, the UAV was equipped with a convolutional neural network (CNN) to detect jamming attacks that may occur on the UAV's frequency band. This model was trained on a global navigation satellite system (GNSS) jamming data set with six classes - achieving a classification accuracy of 88.1% and anomaly detection rate of 99.1%. By achieving such high detection rates, this negates the need for a centralized UAV model as all UAVs can be self-sustained. Both the CNN and DQN were then compiled to run on an Zynq UltraSCALE+ ZCU102 system-on-chip (SoC) field-programmable gate array (FPGA) using Xilinx's Vitis-AI software. This simulates the possibility of using a Xilinx's Vitis-AI hardware to speed up machine learning inference time. The compiled model provides a speed up in inference of 9.67x and 47.1x on the CNN and DQN respectively when compared to an AMD Ryzen 5600x CPU, with a minimal impact on accuracy. These results demonstrate that deep learning can effectively be used to provide UAV security as both an IDS for a cloud server and jamming detection system for itself. It also showcases the performance benefits of using FPGA hardware acceleration to maximize the throughput of the UAV.
Advisor(s): Dr. Ruolin Zhou, Assistant Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members: Dr. Hong Liu, Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth; Dr. Honggang Wang, 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. Ruolin Zhou via email at rzhou1@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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1:30 PM
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New Employee Orientation
- Location: > See description for location
- Contact: Human Resources
- Description: New Employee Orientation is held on a biweekly basis throughout the year for new employees of the University. Attendance at an Orientation session is a mandatory component of the onboarding process. This session will cover a wide range of topics to guide new employees in their transition to the University, including, but not limited to: HR policies; procedures; an overview of key departments and their functions, and detailed benefits information.
Location: TBD
- Topical Areas: Faculty, Staff and Administrators
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1:00 PM
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3:00 PM
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Excel Formulas and Functions
- Location: Claire T. Carney Library, Room 128
- Cost: Free!
- Contact: CITS Instructional Development
- Description: This intermediate to advanced workshop explores the use of formulas and functions in Excel. Topics covered include text functions, named cell ranges, conditional formatting, conditional statements, absolute cell references, as well as the VLOOKUP function. The Introduction to Excel workshop or equivalent previous experience is required.
This workshop takes place in the Library, room 128. Please note that there will be construction in the Library Learning Commons during July, and the workshop may need to be moved to a different location.
Contact Rich Legault for more information at 508-999-8799,
or email RLegault@umassd.edu.
Seating is limited, so please register today!
- Topical Areas: Training, Workshop
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2:30 PM
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3:30 PM
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Student Corsair Jobs Zoom Lab
- Location: Online
- Contact: > See Description for contact information
- Description: When: July 25th, 2022
Time: 2:30-3:30pm
Where: Online
Join Zoom Meeting
https://umassd.zoom.us/j/97338384835?pwd=TXlLRERMeEo2cG85MSt3dUp0RkNoQT09
For more information, please contact the Student Employment Office at: stuemployment@umassd.edu
- Topical Areas: Students, Students, Graduate, Students, Law, Students, Undergraduate
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