Integration of New Active Learning Algorithms to Plaster: A Framework for Heterogeneous Metadata Normalization Methods; Analyzing Ethical and Social Responsibility for the Present and Future of Smart Building Technology
Author:
Yoon, David, School of Engineering and Applied Science, University of Virginia
Yoon, David, School of Engineering and Applied Science, University of Virginia
Advisors:
JACQUES, RICHARD, EN-Engineering and Society, University of Virginia
Wang, Hongning, EN-Comp Science Dept, University of Virginia
JACQUES, RICHARD, EN-Engineering and Society, University of Virginia
Wang, Hongning, EN-Comp Science Dept, University of Virginia
Abstract:
Discusses the implementations of various active learning algorithms into Plaster, a framework for heterogeneous metadata normalization methods. Additionally, this portfolio analyzes the ethical and social environment for the present and future of smart building technology.
Degree:
BS (Bachelor of Science)
BS (Bachelor of Science)
Keywords:
Smart Building , Software , Users and Non-Users, Active Learning
Smart Building , Software , Users and Non-Users, Active Learning
Notes:
School of Engineering and Applied Sciences
Bachelor of Science in Computer Science
Technical Advisor: Hongning Wang
STS Advisor: Richard Jacques
Technical Team Members: None
Language:
English
English
Rights:
All rights reserved (no additional license for public reuse)
All rights reserved (no additional license for public reuse)
Issued Date:
2020/12/13
2020/12/13
