Title Type cities and complexity understanding cities with cellular automata agent-based models and fractals PDF the complexity of cooperation agent-based models of competition and collaboration PDF party competition an agent-based model princeton studies in complexity PDF sharing cities a case for truly smart and sustainable cities urban and industrial environments PDF global metropolitan glob...

applications of nonlinear dynamics model and design of complex systems understanding complex systems PDF predicting the future completing models of observed complex systems understanding complex systems PDF emergent properties in natural and artificial dynamical systems understanding complex systems PDF principles of systems science understanding complex systems PDF frequency domain analysis an...

Title Type identification and stochastic adaptive control systems & control foundations & applications PDF digital control systems volume 2 stochastic control multivariable control adaptive control applications PDF stochastic systems estimation identification and adaptive control prentice-hall information and system sciences series PDF model-based control of networked systems systems & control ...

Title Type new trends in data warehousing and data analysis annals of information systems PDF data and information quality dimensions principles and techniques data-centric systems and applications PDF information security risk assessment toolkit practical assessments through data collection and data analysis PDF web data mining exploring hyperlinks contents and usage data data-centric systems ...

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We consider a wide class of spiking neuron models, defined by rather general set of conditions typical for basic models like leaky integrate and fire, or binding neuron model. A neuron is fed with a point renewal process. A relation between the three probability density functions (pdf): (i) pdf of input interspike intervals, (ii) pdf of output interspike intervals of a neuron with instantaneous...

Reactive flow simulations using large-eddy simulations (LES) require modelling of sub-filter fluctuations. Although conserved scalars like mixture fraction can be represented using a beta-function, the reactive scalar probability density function (PDF) does not follow an universal shape. A one-point one-time joint composition PDF transport equation can be used to describe the evolution of the s...

When a probability density function (pdf) is to be formed on the basis of incomplete information, the “maximum missing information” (mmi) pdf (Jaynes. Phys. Reo. 106, 62M30, 1957) is theoretically preferable. We compare the performance of Lagrangian stochastic (LS) models of vertical dispersion in the convective boundary layer. satisfying Thomson’s (J. Fluid Mech. 180,529-556, 1987) well-mixed ...

In this paper, the performance analysis of an energy detector is exploited over composite multipath/shadowing fading channels, which is modeled by Rayleigh-lognormal (RL) distribution. Based on an approximate channel model which was recently proposed by the author, the RL envelope probability density function (pdf) is approximated by a finite sum of weighted Rayleigh pdfs. Relying on this inter...