The advent of internet protocol version 6 (IPv6) as a replacement of internet protocol version 4 (ipv4) has raised the necessity for efficient and effective malware detection techniques for IPv6 networks. Because of the evolvable and polymorphic malware, current malware detection technologies cannot cope with the exponential growth of malwares. This paper proposes a new intelligent approach bas...

in this paper we study the module contractibility ofbanach algebras and characterize them in terms the conceptssplitting and admissibility of short exact sequences. also weinvestigate module contractibility of banach algebras with theconcept of the module diagonal.

Automorphisms of order 2p in binary self-dual extremal codes of length a multiple of 24 Abstract Let C be a binary self-dual code with an automorphism g of order 2p, where p is an odd prime, such that g p is a fixed point free involution. If C is extremal of length a multiple of 24 all the involutions are fixed point free, except the Golay Code and eventually putative codes of length 120. Conne...

The main aim of this paper is to show that an AB5 module whose small submodules have Krull dimension has a radical having Krull dimension. The proof uses the notion of dual Goldie dimension.

For W*-algebras A and self-dual Hilbert A-modules M we show that every selfadjoint, ”compact” module operator on M is diagonalizable. Some specific properties of the eigenvalues and of the eigenvectors are described.

Various types of multijunction solar cells have now been demonstrated with energy conversion efficiencies over 40%. Higher cell efficiencies are still possible. NREL, Fraunhoffer and others have announced >40% Inverted metamorphic triple-junction (IMMTJ) InGaP/GaAs/GaInAs cells. One key feature of these cells is that the lowest bandgap cell is no longer a Ge cell. The IMMTJ lowest cell bandgap ...

In this paper, we propose a dual-module network architecture that employs domain discriminative feature module to encourage the invariant learn more features. The proposed can be applied any model utilizes features for unsupervised adaptation improve its ability extract We conduct experiments with Domain-Adversarial Training of Neural Networks (DANN) as representative algorithm. training proces...

Recent advances in convolutional neural network (CNN)-based object detection have a trade-off between accuracy and computational cost various industrial tasks essential consideration. However, the fully one-stage detector (FCOS) demonstrates low compared with its costs owing to loss of low-level information. Therefore, we propose module called dual-path lightweight (DLM) that efficiently utiliz...