Controller workload has been a focal topic in air traffic management research because it is considered a key limiting factor to capacity increase in air traffic operations. Because workload ratings are subjective and highly prone to individual differences, some researchers have tried to replace workload with more objective metrics, such as aircraft count. A significant caveat in substituting th...

When interacting with technical systems, users experience mental workload. Particularly in multitasking scenarios (e.g., interacting with the car navigation system while driving) it is desired to not distract the users from their primary task. For such purposes, human-machine interfaces (HCIs) are desirable which continuously monitor the users' workload and dynamically adapt the behavior of the...

Background: Identifying the predisposing factors of neck and shoulder complaints and finding solutions to avoid them could improve the occupational health condition of the nurses. In this study, we aimed at determining the role of psychological and physical occupational factors in developing neck and shoulder complaints among the participants. Methods: This analytic cross-sectional study was co...

BACKGROUND Trauma resuscitations are high-pressure, time-critical events during which health care providers form ad hoc teams to rapidly assess and treat injured patients. Trauma team members experience varying levels of workload during resuscitations resulting from the objective demands of their role-specific tasks, the circumstances surrounding the event, and their individual previous experie...

The ability to measure the energy consumed by cloud infrastructure is a crucial step towards the development of energy efficiency policies in the cloud infrastructure. There are hardware-based and software-based methods of measuring energy usage in cloud infrastructure. However, most hardware-based energy measurement methods measure the energy consumed system-wide - including the energy lost in...

Given the need to achieve maximum performance possible, offloading intensive computation workload to GPU is a key to achieve this goal. Offloading most of the workload to GPU may not results in desired performance, so a middle approach is more suitable such as splitting the workload between the CPU and the GPU can be considered as an optimized approach. In this study, we used a popular high per...