Evolutionary computation (EC) is a kind of meta-heuristic algorithm that takes inspiration from natural evolution and swarm intelligence behaviors. In the EC algorithm, there huge amount data generated during evolutionary process. These reflect behavior therefore mining utilizing these can obtain promising knowledge for improving effectiveness efficiency algorithms to better solve optimization ...

The Flexible Time-Triggered Switched Ethernet (FTT-SE) protocol was proposed in 2006 [1] as a realization of the FTT paradigm [2] specifically adapted to switched Ethernet. This paradigm first appeared in 1998 implemented on CAN, the FTT-CAN protocol [3], followed by an implementation on shared Ethernet in 2002 [4]. The FTT paradigm is a framework to develop distributed real-time systems that a...

Multisensory-visual, vestibular and somatosensory information is integrated for appropriate postural control. The primary goal of this study was to assess somatosensory utilization during a functional motor task of unipedal postural control, in normal healthy adults. Assessing individual bias in the utilization of individual sensory contributions during postural control may help customization o...

the term paradigm has become a central issue in philosophy of science. increasing attention to paradigm in public administration, as a branch of social science, is also highlighted. this paper attempts to analysis seven paradigms in public administration research and to study ontological, epistemological, methodological, rhetorical and axiological assumptions of the each paradigm. finally, we b...

BACKGROUND While traditionally quite distinct, functional neuroimaging (e.g. functional magnetic resonance imaging: fMRI) and functional interference techniques (e.g. transcranial magnetic stimulation: TMS) increasingly address similar questions of functional brain organization, including connectivity, interactions, and causality in the brain. Time-resolved TMS over multiple brain network nodes...

In vehicular ad hoc networks, autonomous vehicles generate a large amount of data prior to support in-vehicle applications. So, big storage and high computation platform are needed. On the other hand, for networks at cloud requires low latency. Applying edge (EC) as new computing paradigm has potentials provide services while reducing latency improving total utility. We propose three-tier EC fr...

With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications e-Health, autonomous vehicles, smart cities, etc.), as well rapidly number of connected IoT (Internet Things) devices, core network is becoming increasingly congested. To cope with those constraints, Edge Computing (EC) emerging an innovative computing paradigm that leverages Cloud and...