Mathematics and Computer Science

Volume 5, Issue 1, January 2020

  • Anthropological Information About a Message Variability

    George Losik, Igor Boyko, Vadim Tkachenko, Boris Potapov, Yury Vilchuk

    Issue: Volume 5, Issue 1, January 2020
    Pages: 1-9
    Received: 6 December 2019
    Accepted: 30 December 2019
    Published: 30 January 2020
    Abstract: The article represents a particular case in the field of the theory of a message encoding and decoding when the message is transmitted from a transmitter to a receiver. In this case human plays a role of the transmitter and receiver. From the positions of the theory of coding and the theory of pattern recognition, considers the phenomenon of anthro... Show More
  • Graphic Coding and Decoding Methods Using Relative Coordinates

    Xu Weijian, Lai Lianyou

    Issue: Volume 5, Issue 1, January 2020
    Pages: 10-13
    Received: 1 January 2020
    Accepted: 10 January 2020
    Published: 31 January 2020
    Abstract: There are many processes in PCB production. In order to facilitate management and problem tracing, PCB monitoring is required in each production process. The production process of PCB is very different from that of common products. Barcode, QR code or electronic label can be pasted on common products, but not on PCB. Because corrosive chemical solu... Show More
  • Towards Cryptanalysis of a Variant Prime Numbers Algorithm

    Bashir Kagara Yusuf, Kamil Ahmad Bin Mahmood

    Issue: Volume 5, Issue 1, January 2020
    Pages: 14-30
    Received: 10 January 2020
    Accepted: 31 January 2020
    Published: 13 February 2020
    Abstract: A hallmark of prime numbers (primes) that both characterizes it away from other natural numbers and makes it a challenging preoccupation, is its staunch defiance to be expressed in terms of composites or as a formula listing all its sequence of elements. A classification approach, was mapped out, that fragments a prime into two: its last digit (tra... Show More
  • A Survey of Generative Adversarial Networks Based on Encoder-Decoder Model

    Yi Yin, Lin Ouyang, Zhixiang Wu, Shuifang Yin

    Issue: Volume 5, Issue 1, January 2020
    Pages: 31-41
    Received: 17 January 2020
    Accepted: 11 February 2020
    Published: 10 March 2020
    Abstract: The generative model is a very important type of model in the field of artificial intelligence in recent years. Such models can comprehend the data through the neural network, and then create data according to the probability distribution of the input data, predict the results according to the data characteristics. The whole processing process is "... Show More