Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Jaspal Subhlok"'
Autor:
Farah Naz Chowdhury, Raga Shalini Koka, Mohammad Rajiur Rahman, Thamar Solorio, Jaspal Subhlok
Publikováno v:
2021 IEEE International Symposium on Multimedia (ISM).
Publikováno v:
ACM Transactions on Sensor Networks. 14:1-21
Non-intrusive occupant identification enables numerous applications in Smart Buildings such as personalization of climate and lighting. Current techniques do not scale beyond 20 people, whereas commercial buildings have 100 or more people. This artic
Publikováno v:
ISM
Lecture videos are an increasingly important learning resource for higher education. However, the challenge of quickly finding the content of interest in a lecture video is an important limitation of this format. This paper introduces visual summariz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8715dcbc534b9bb01e155cea6f6556bf
Publikováno v:
Applied Energy. 220:814-828
The ability to non-intrusively identify people will enable smart buildings to customize the environment to meet occupants’ comfort level while saving energy. Occupant identification can help in energy savings effort in a building because we can ret
Publikováno v:
FIE
This Innovative Practice Full Paper explores how classroom lecture video analytics can be employed as an instructional resource. Lecture videos supplementing or replacing traditional classroom instruction are common in academic settings, and have bee
Autor:
Olin G. Johnson, Christopher Lynnly Hovey, Lecia Barker, Jaspal Subhlok, Shishir K. Shah, Tayfun Tuna
Publikováno v:
Journal of Science Education and Technology. 26:82-99
Videos of classroom lectures have proven to be a popular and versatile learning resource. A key shortcoming of the lecture video format is accessing the content of interest hidden in a video. This work meets this challenge with an advanced video fram
Publikováno v:
IEEE Transactions on Computers. 65:495-507
We present DwarfCode, a performance prediction tool for MPI applications on diverse computing platforms. The goal is to accurately predict the running time of applications for task scheduling and job migration. First, DwarfCode collects the execution
Autor:
Arian Ehteshami, Edgar A. Bering, Itay Porat, C. Bias, Jinghong Chen, John Prince, Minh Pham, Tri Nguyen, M. Greer, Luis Victor, Jaspal Subhlok, A. Fenton, R. Gamblin, S. Mathur, Michel Medellin, Marc Alozie, Jamie Lehnen, Robert W. Talbot, Debora F. Rodrigues, M. Pina, George Thomas, William T. A. Harrison, Anthony Martinez, Bryan Gunawan, M. Nowling, Brett Velasquez, C. C. Behrend, Diego Perez, Ahmad Hamza, Craig Glennie
Publikováno v:
2018 AIAA SPACE and Astronautics Forum and Exposition.
Publikováno v:
Concurrency and Computation: Practice and Experience. 30
Publikováno v:
BuildSys@SenSys
Non-intrusive occupant identification enables numerous applications in Smart Buildings such as personalization of climate and lighting. Current non-intrusive identification techniques do not scale beyond 20 people whereas commercial buildings can hav