A software tool developed in Matlab for short-term load forecasting (STLF) is presented. Different forecasting methods such as artificial neural networks, multiple linear regression, curve fitting have been integrated into a stand-alone application with a graphical user interface. Real power consumption data have been used. They have been provided by the branches of the distribution system operator from the Southern-Western part of the Romanian Power System. This paper is an extended variant of [4].
No abstract
The purpose of this paper is to present and to discuss analysis methods applied in symmetric cryptography, especially on stream ciphers. The tests were made on some algorithms and also on the personal symmetric cryptographic algorithm, HENKOS, based on a pseudorandom number generator. The test confirms that the algorithm appears to be secure and fast. The paper describes first the main parts of the cryptosystem, its implementation and different analysis methods. The code is written in the C/C++ language. The software application and the tests applied were processed on a PC computer. The quality analysis presents the results of many classical statistical tests, comparing some algorithms based especially on pseudo random number generators. The tests use standard sequence of 12.5 MB resulted from some test generators. The main part of the work presents selected results for the most important statistical tests like: FIPS 1401, FIPS 1402 , ENT tests, Diehard battery of tests, NIST Statistical Test Suite. The final question is: are these tests enough to certifie the quality of a tested algorithm?
Abstract:Given the recent point of view of the European Commission regarding the implementation of a new strategy for sustainable growth and jobs, this paper emphasises the opportunity and urgency of supporting the EU 2020 strategy, providing an appropriate educational tool for the knowledge society. The main objectives are: a. adapting memetic engineering expressed in terms of General System Theory to the teaching component of permanent education based on bounded rationality and "Just in Time" as key tools for fighting cognitive chaoplexity in the post-industrial era; b. facilitating the use of memetic engineering based on its double-faceted nature: as both positive and negative feedback; c. extending the applicability of memetic engineering to ecology as source of memes; d. exemplifying the above in primitive metamodels applying memetic engineering in ecology and highlighting the relevant design-space dimensions. Among the conclusions: a. to be sustainable in the long run permanent education must be modelled in line with learner bounded rationality, since bounded rationality is a psychological lasting feature; b. sustainable development depends on affordable permanent education; c. as a result, e-teaching should be systematically revisited through intense transdisciplinary research.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.