small Polygroups are multi-valued systems that satisfy group-likeaxioms. Using the notion of “belonging ($epsilon$)” and “quasi-coincidence (q)” offuzzy points with fuzzy sets, the concept of ($epsilon$, $epsilon$ $vee$ q)-fuzzy subpolygroups isintroduced. The study of ($epsilon$, $epsilon$ $vee$ q)-fuzzy normal subpolygroups of a polygroupare dealt with. Characterization and some of the fundam...

Let E be an elliptic curve over the finite field F_{q}, P a point in E(F_{q}) of order n, and Q a point in the group generated by P. The discrete logarithm problem on E is to find the number k such that Q = kP. In this paper we reduce the discrete logarithm problem on E[n] to the discrete logarithm on the group F*_{q} , the multiplicative group of nonzero elements of Fq, in the case where n | q...

Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. However, their computational demands often make them unsuitable settings. Additionally, modern employ non-Bayer color filter arrays (CFA) such as Quad Bayer, Nona and QxQ Bayer to enhance quality, yet most existing deep ISP (or demosaicing) f...

that in some parts of India cases occur, I shall be much obliged if you will insert tho following: series of questions in an yearly issue : 1. Has it been noticed in your district for long and, if so, does it occur at any particular seasons ? 2. What relation does its incidence bear to the common malarial fevers ? Do these present any unusual symptoms or exhibit any increase in virulence at the...

In this paper, an update method of Q-value is proposed to increase the learning rate of Q-learning. When Q-value of executed action is small, even if it is an optimal action, the learning becomes longer because the frequency to be executed again becomes lower. The proposed method increased the execution frequency of optimal action by forcefully increasing the Q-value through the Q-value update ...