Modelling multi-tasking behaviour is an important phase of real-time system design. It is shown how task scheduling principles can be captured in a CCS-based process algebra via extensions for both asymmetric interleaving, to model intraprocessor scheduling decisions, and for asynchronous communication, to model interprocessor precedence constraints. Examples are given of task preemption, block...

Next-generation large-scale structure surveys will deliver a significant increase in the precision of growth data, allowing us to use `agnostic' methods study evolution perturbations without assumption cosmological model. We focus on particular machine learning tool, Gaussian processes, reconstruct rate $f$, root mean square matter fluctuations $\sigma_8$, and their product $f\sigma_8$. apply t...

Many multi-task operations require human operators to simultaneously perform visual surveillance and a secondary task. As the trend in technological advancement of systems indicates high likelihood heavy interdependence between technology foreseeable future, it is paramount venture beyond context driving, an area where similar research saturated in, investigate functional field view (FFoV) mult...

Spatial crowdsourcing (SC) is a new platform that engages individuals in collecting and analyzing environmental, social and other spatiotemporal information. With SC, requesters outsource their spatiotemporal tasks (tasks associated with location and time) to a set of workers, who will perform the tasks by physically traveling to the tasks’ locations. However, current solutions require the work...

The degree of multiscale complexity in human behavioral regulation, such as that required for postural control, appears to decrease with advanced aging or disease. To help delineate causes and functional consequences of complexity loss, we examined the effects of visual and somatosensory impairment on the complexity of postural sway during quiet standing and its relationship to postural adaptat...