Amin Daneshmand Malayeri

  1. New designing of E-Learning systems with using network learning.

    Authors: Amin Daneshmand Malayeri, Jalal Abdollahi
    Subjects: Computers and Society
    Abstract

    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.

  2. Modern Symmetric Cryptography methodologies and its applications.

    Authors: Amin Daneshmand Malayeri, Jalal Abdollahi
    Subjects: Cryptography and Security
    Abstract

    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.

  3. Noise Speech wavelet analyzing in special time ranges.

    Authors: Amin Daneshmand Malayeri
    Subjects: Sound
    Abstract

    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.

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