Volume 14, number 1, 2020. Published papers:
Toufik SEBBAGH1, Ridha KELAIAIA1, Abderrezak METATLA1 and Abdelouahab ZAATRI2, 1 LGMM Loratory, University of 20 Août 1955 – Skikda, Algeria, 2 University of Constantine 1 – Constantine, Algeria, email@example.com
Keywords: PV power output, forecasting, NARX, prediction
Abstract: This paper deals with the predictive capabilies of a NARX-based forecaster used to predict the output power converted with a PV panel in isolated conditions. A timeseries based NARX model is proposed and the influence of the meteorological data such as irradiance, ambient temperature and wind speed, and the impact of the training algorithm on the performance of the NARX based forecaster model is studied. The results show that for the studied area, the NARX model trained by three meteorological data as inputs, the output power as output using Bayesian Regularization algorithm gives best performance with a mean squared error of 2.10414e-2.
Andreja SAMČOVIĆ, University of Belgrade, Faculty of Transport and Traffic Engineering,Belgrade, Serbia firstname.lastname@example.org
Keywords: Digital cinema, compression, Digital Cinema Package, Digital Cinema Distribution Master, JPEG 2000
Abstract: This paper describes in details analysis of Digital Cinema Package (DCP) file format structure, which is today widely used for distribution of digital movies for digital cinema. The whole process from creating source files, following by intermediate steps, to the final form of this format, is presented as well. Security principles are covered by Key Delivery Message (KDM). Some free software for creation DCP are mentioned at the end of this paper.