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Tuesday, April 30, 2024
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1:00 PM
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2:00 PM
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Virtual Study Abroad Advising
- Location: > See description for location
- Contact: International Programs Office
- Description: Interested in studying abroad? Do you have a quick question about the opportunities that are available or the overall process? Stop by the International Programs Office's virtual advising session! Students will be seen on a first come, first served basis. Email intl_programs@umassd.edu for the zoom link.
- Topical Areas: Faculty, Staff and Administrators, Students, University Community, Study Abroad
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Classes End
- Location: Online
- Contact: Online & Continuing Education
- Description: Spring 2024 14-week full session classes end, last class before final exam.
- Link: https://www.umassd.edu/online/
- Topical Areas: OCE Academic Calendar, OCE Full session, OCE Spring
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9:00 AM
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5:30 PM
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Mechanical Engineering Senior Design (Capstone) Presentations, Class of 2024
- Location: Woodland Commons, UMass Dartmouth Campus
, 285 Old Westport Road, Dartmouth, MA 02747
- Contact: Mechanical Engineering Department
- Description: Mechanical Engineering (MNE) Senior Design (Capstone) Presentations
April 30, 2024
9:00 a.m. - 4:30 p.m.
(Poster and prototype preview begins at 8:00 a.m.)
Woodland Commons
The Mechanical Engineering Department is proud to share this highly anticipated event with students, faculty, staff, family, friends, and any other interested guests! This is a culmination of the Class of 2024's Senior year team project with industry, or UMD research faculty. Attend all day, or come and go as your schedule allows. For more information please contact Dr. Hamed Samandari/Instructor (hsamandari@umassd.edu) or Sue Cunha/Administrative Assistant (scunha@umassd.edu).
- Topical Areas: Alumni, Faculty, General Public, Staff and Administrators, Students, Students, Undergraduate, University Community, College of Engineering, Mechanical Engineering, Conferences & Events
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10:00 AM
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12:00 PM
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ELEC Research Component of PhD Qualifier Exam by Joshua Steakelum - ECE Department
- Location: Claire T. Carney Library, Room 314
- Cost: Free
- Contact: > See Description for contact information
- Description: Topic: Multi-phase Algorithm Design for Accurate and Efficient Model Fitting
Location: Claire T. Carney Library (LIB), Room 314
Zoom Conference Link: https://umassd.zoom.us/j/96312746810
Meeting ID: 963 1274 6810 Passcode: 161289
Abstract:
Recent research applies soft computing techniques to fit software reliability growth models. However, runtime performance and the distribution of the distance from an optimal solution over multiple runs must be explicitly considered to justify the practical utility of these approaches, promote comparison, and support reproducible research. This paper presents a meta-optimization framework to design multi-phase algorithms for this purpose. The approach combines initial parameter estimation techniques from statistical algorithms, the global search properties of soft computing, and the rapid convergence of numerical methods. Designs that exhibit the best balance between runtime performance and accuracy are identified. The approach is illustrated through nonhomogeneous Poisson process and covariate software reliability growth models, including a cross-validation step on data sets not used to identify designs. The results indicate the nonhomogeneous Poisson process model considered is too simple to benefit from soft computing because it incurs additional runtime with no increase in accuracy attained. However, a multi-phase design for the covariate software reliability growth model consisting of the bat algorithm followed by a numerical method achieves better performance and converges consistently, compared to a numerical method only. The implementation of a framework-designed algorithm into a software reliability tool is demonstrated. The proposed approach also supports higher-dimensional covariate software reliability growth model fitting suitable for implementation in further tools.
Co-Advisor(s):
Dr. Lance Fiondella, Associate Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth
Committee Members:
Dr. Hong Liu, Commonwealth Professor, Department of Electrical & Computer Engineering, UMASS Dartmouth;
Dr. Ruolin Zhou, 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. Lance Fiondella via email at lfiondella@umassd.edu
- Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering
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8:00 AM
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11:00 PM
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