Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mostafa Rafaie"'
Autor:
Fadi Alsaleem, Mehari K. Tesfay, Mostafa Rafaie, Kevin Sinkar, Dhaman Besarla, Parthiban Arunasalam
Publikováno v:
Frontiers in Built Environment, Vol 6 (2020)
Humans spend more than 90% of their day in buildings, where their health and productivity are demonstrably linked to thermal comfort. Building thermal comfort systems account for the largest share of U.S energy consumption. Despite this high-energy c
Externí odkaz:
https://doaj.org/article/627ed68883024f5a9b82ad3d763d793c
Publikováno v:
Energies, Vol 13, Iss 16, p 4231 (2020)
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a distribution network and its reliability. Generally, monitoring energy consumption has become one of the most important factors in green and micro grids; therefore
Externí odkaz:
https://doaj.org/article/9969da11c9874419a40505160ecbb31c
Publikováno v:
Energies; Volume 13; Issue 16; Pages: 4231
Energies, Vol 13, Iss 4231, p 4231 (2020)
Energies, Vol 13, Iss 4231, p 4231 (2020)
Plug-in Electric Vehicle (PEV) user charging behavior has a significant influence on a distribution network and its reliability. Generally, monitoring energy consumption has become one of the most important factors in green and micro grids; therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a64bc0841e7404517fd7acb3335a4ace
Publikováno v:
Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems.
Smart analysis of sensory data in real time is growing more important by the advent of the internet of things (IoT). Currently, this demand is being met by microprocessors utilizing classical computing algorithms or using simple machine learning sche
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7f0aeae9216a6b83a1df1ccde1a36e1
https://doi.org/10.1115/detc2018-85075
https://doi.org/10.1115/detc2018-85075
Publikováno v:
Volume 4: 23rd Design for Manufacturing and the Life Cycle Conference; 12th International Conference on Micro- and Nanosystems.
With enormous data being generated every day from countless applications and sensor networks, the need for efficient computing devices to process and make use of this data continues to grow and is projected to increase in the future. The idea of anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d2def3c668f7782c929d7874d0d4b9a
https://doi.org/10.1115/detc2018-85439
https://doi.org/10.1115/detc2018-85439
Publikováno v:
Structural Health Monitoring 2017.
This paper studies the use of wearable device data along with other parameters such ambient temperature to model human comfort. Several machine-learning methods were used to build thermal comfort models from five individual’s wearable biometric dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::678de60d885094236caa0c93e06d24da
https://doi.org/10.12783/shm2017/14170
https://doi.org/10.12783/shm2017/14170
Publikováno v:
Applied Physics Letters. 114:163501
This work investigates the computational potential of microelectromechanical system (MEMS) networks. In these networks, each MEMS device retains the memory of past inputs through bistability and hysteresis and receives a weighted excitatory or inhibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c2e8b5dd6bfcebe8fce76758bdc3d01
https://doi.org/10.1063/1.5081804
https://doi.org/10.1063/1.5081804