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Waiting time in any network is often a costly and hence a bad experience. Therefore, to avoid jamming regions becomes essential in the optimization of traffic flows. In this regard, the conception and the control of complex networks supporting flows of uni ...
Methods and systems are described for communication of data over a communications bus at high speed and high pin efficiency, with good resilience to common mode and other noise. Pin efficiencies of 100% may be achieved even for bus widths of four or fewer ...
In this work a physical modelling framework is presented, describing the intelligent, non-local, and anisotropic behaviour of pedestrians. Its phenomenological basics and constitutive elements are detailed, and a qualitative analysis is provided. Within th ...
In this paper, we introduce a simple Monte Carlo method for simulating the dynamics of a crowd. Within our model a collection of hard-disk agents is subjected to a series of two-stage steps, implying (i) the displacement of one specific agent followed by ( ...
This paper addresses the novel problemof characterizing conversational group dynamics. It is well documented in social psychology that depending on the objectives a group, the dynamics are different. For example, a competitive meeting has a different objec ...
The integration of modulatory neurons into evolutionary artificial neural networks is proposed here. A model of modulatory neurons was devised to describe a plasticity mechanism at the low level of synapses and neurons. No initial assumptions were made on ...
Study groups are common approaches for students to study together at schools. However, little is known about how this approach is suited to MOOC based learning, where learners watch and discuss MOOC lecture videos in a collaborative manner. Watching MOOCs ...
Coarse graining techniques offer a promising alternative to large-scale simulations of complex dynamical systems, as long as the coarse-grained system is truly representative of the initial one. Here, we investigate how the dynamical properties of oscillat ...
We present the results of group dynamics and their effect on success in problem solving / decision making meetings. We use a novel multiple input environment for collaboration and data collection, and a hidden profile task given to groups, whose goals are ...
The computational modeling of face-to-face interactions using nonverbal behavioral cues is an emerging and relevant problem in social computing. Studying face-to-face interactions in small groups helps in understanding the basic processes of individual and ...