Results 51 to 60 of about 8,507 (227)

Developing a valid method to study adaptive behaviours with regard to IEQ in primary schools [PDF]

open access: yes, 2019
Adaptive behaviour impacts the classroom's environment and the student's comfort. Therefore, a deep understanding of students' adaptive behaviour is required.
Korsavi, Sepideh Sadat   +1 more
core   +2 more sources

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

open access: yesAdvanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang   +7 more
wiley   +1 more source

Students’ thermal comfort in the context of gender and body mass index [PDF]

open access: yesE3S Web of Conferences
Researchers focus on the indoor thermal environment considering sensation votes of the respondents by gender. As gender is more complex sociological aspect nowadays, it is possible focusing on more measurable value like body physique.
Laska Marta   +2 more
doaj   +1 more source

Objective and subjective aspects of an urban square’s human comfort – case study in Szeged (Hungary) [PDF]

open access: yes, 2009
This paper deals with the first comprehensive thermal comfort study made in the centre of Szeged, a southern Hungarian town. We calculated the Predicted Mean Vote index with the RayMan model from measured meteorological parameters (objective approach).
Gulyás, Ágnes   +3 more
core  

Concealable and Field‐Free Physical Unclonable Function Based on Voltage‐Controlled Magnetic Tunnel Junctions

open access: yesAdvanced Electronic Materials, EarlyView.
A concealable physical unclonable function (PUF) based on an array of 384 nanoscale voltage‐controlled magnetic tunnel junctions is demonstrated. The PUF operates without any external magnetic field. It uses a combination of deterministic and stochastic switching mechanisms, based on the spin transfer torque and voltage‐controlled magnetic anisotropy ...
Thomas Neuner   +6 more
wiley   +1 more source

Thermal sensation of children and its predictive evaluation method in Indonesia’s dry season

open access: yesJournal of Asian Architecture and Building Engineering
There is a discrepancy between children’s thermal sensation in hot-humid climates near the equator and conventional thermal comfort indexes, such as the predicted mean vote (PMV).
Masaya Kitaura   +3 more
doaj   +1 more source

Thermal Comfort Assessment in University Classrooms: A Discriminant Analysis for Categorizing Individuals According to Gender and Thermal Preferences

open access: yesAtmosphere, 2023
The concern with the well-being of users in buildings has become increasingly essential, covering aspects related to health, energy efficiency, and productivity.
Iasmin Lourenço Niza   +2 more
doaj   +1 more source

Thermal comfort guidelines for production spaces within multi-storey garment factories located in Bangladesh [PDF]

open access: yes, 2019
This research presents extensive field data on indoor thermal conditions along with workers' comfort votes taken at their workstations within three existing multi-storied garment factories during the three seasons (cool-dry, hot-dry and warm-humid) of ...
Ford, B.   +7 more
core   +2 more sources

Confrontation Of Thermal Sensation And Comfort Models To Votes In A Transient Thermal Exposure

open access: yes, 2018
Peer-reviewed extended abstract submitted to 12i3m, 29-30 September 2018, St.
Thiagalingam, Ilango   +3 more
openaire   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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