One of the most applied learning in virtual spaces is using E-Learning
systems. Some E-Learning methodologies has been introduced, but the main
subject is the most positive feedback from E-Learning systems. In this paper,
we introduce a new methodology of E-Learning systems entitle "Network Learning"
with review of another aspects of E-Learning systems. Also, we present benefits
and advantages of using these systems in educating and fast learning programs.
Network Learning can be programmable for every education system and it is
flexible with too positive results.
Nowadays, using cryptographic systems play an effective role in security and
safety technologies. One of the most applied kind of cryptography is Symmetric
Cryptography and its applications. New aspects of symmetric Cryptography
methodologies and applications has been presented by this paper. Security-based
networks and some complex technologies such as RFID and parallel security
settings has been intro-duced by using Symmetric Cryptography is the main base
of discussion in this paper. Designing an unique protocol for Symmetric
Cryptography in security networks elements is our focus.
Speech analyzing in special periods of time has been presented in this paper.
One of the most important periods in signal processing is near to Zero. By this
paper, we analyze noise speech signals when these signals are near to Zero. Our
strategy is defining some subfunctions and compress histograms when a noise
speech signal is in a special period. It can be so useful for wavelet signal
processing and spoken systems analyzing.