Optimal management of various renewable energy sources by a new forecasting method

A mathematical model for file fragment diffusion and a neural predictor to manage priority queues over BitTorrent

“…In fact, such a decomposition splits a phenomenon in a superposition of mutual and concurrent predominant processes with a characteristic time-energy signature. For stochastically-driven processes, such as stellar phenomena (Capizzi et al, 2012;Napoli et al, 2010) or renewable energy and system load (Bonanno et al, 2012b;2012a), and for a large category of complex and distributed systems, wavelet decomposition gives a unique and compact representation of the leading features for a time-variant phenomenon. Then, the datasets regarding the time series of the number of peers and seeds were decomposed by using wavelet biorthogonal decomposition identified by the couple of numbers 3.7, i.e., implemented by using FIR filters with the 7th order polynomials degree for the decomposition and the 3rd order for the reconstruction (the filter coefficients are depicted in Fig.…”

Benchmark Tests on Improved Merge for Big Data Processing

“…It is possible to give many examples of knowledge retrieval methods, that applied in processed data can help in decision making [1], [2], [3], [4], [5], [6]. Paralleled to this, in the common computer systems we need to have optimal traffic on the server that is managing our business network [7], [8], [9], [10].…”

Toward 2D Image Classifier Based on Firefly Algorithm with Simplified Sobel Filter

“…These are to assists in efficiently tackling sophisticated problems. CI methods find their applications in positioning, simulation, optimization, control and management (see [1], [2], [3], [4], [5], [6], [7], [8]). Moreover, CI powers the resolution of complicated differential and integral equations like the ones used in positioning requests in queueing systems, as presented in [9] and [10], [11] or workflow management [12].…”