By Ivan Zelinka, Ponnuthurai Nagaratnam Suganthan, Guanrong Chen, Vaclav Snasel, Ajith Abraham, Otto Rössler
The prediction of habit of complicated platforms, research and modeling of its constitution is a extremely important challenge in engineering, economic climate and customarily in technology at the present time. Examples of such platforms may be visible on the planet round us (including bodies) and naturally in virtually each clinical self-discipline together with such “exotic” domain names because the earth’s surroundings, turbulent fluids, economics (exchange expense and inventory markets), inhabitants development, physics (control of plasma), info stream in social networks and its dynamics, chemistry and complicated networks. to appreciate such complicated dynamics, which regularly convey unusual habit, and to exploit it in examine or commercial purposes, it really is paramount to create its versions. For this objective there exists a wealthy spectrum of tools, from classical comparable to ARMA versions or field Jenkins strategy to sleek ones like evolutionary computation, neural networks, fuzzy good judgment, geometry, deterministic chaos among others.
This complaints e-book is a suite of authorised papers of the Nostradamus convention that has been held in Ostrava, Czech Republic in June 2014. This publication additionally contains striking keynote lectures through wonderful visitor audio system: René Lozi (France), Ponnuthurai Nagaratnam Suganthan (Singapore) and Lars Nolle (Germany). the most objective of the convention was once to create a periodical risk for college students, lecturers and researchers to replace their rules and novel study equipment. This convention establishes a discussion board for presentation and dialogue of modern examine developments within the quarter of functions of varied predictive equipment.
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Extra info for Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
Fig. 3. 1 Evaluation of the Solution S The Fig. 4 shows the sav vings of the data throughput with a different numberr of vehicles in the network. The T results show that the developed method saves a laarge number of bandwidth and there is a huge potential by calibrating and adjusting the prediction functions parameeters. Fig. 4. Savings of the data throughput with different number of vehicles Fig. 5 shows the averagee results in terms of accumulated prediction utility val--ue, Exc, normalized Z and Ty parameters p change over time.
1]. Ali et al. examine query starvation and bandwidth utilization problem in multiitem queries in wireless broadcasting systems. . Delot et al. present a system for data sharing in vehicular networks Vehicular Event Sharing with a mobile Peer-topeer Architecture (VESPA). In this system, a technique based on the concept of Encounter Probability is proposed for vehicles to share information using vehicle-tovehicle communications. . Barberis and Malnati present the design and evaluation of a collaborative system for content diffusion and retrieval among traveling vehicles.
D ln (7) The predicted utility of the contextual data messages for the exchange with the hybrid VANET cloud can be weighted in a function which assign a value to each data message ml intended to send to the receiving entity rn . The value is calculated by the equation (8). , (Tyn + Hxn + Excn + Z1 )m j crj Pr j (8) Where Tye is the reduced Ty parameter in the interval [1, 2] (1 – entertainment related data, 2 – entertainment and safety related data), Hx is the special set of nonconfidential data parameter in the interval [0, 1] showing if the data should be used for historical saving (1) or not (0).