The Line Integral Convolution (LIC) method, which blurs white noise textures along a vector field, is an effective way to visualize overall flow patterns in a 2D domain [Cabral & Leedom '93]. The method produces a flow texture image based on the input velocity field defined in the domain. Because of the nature of the algorithm, the texture image tends to be blurry. This sometimes makes it diffi...

In this paper, a novel low-complexity Concurrent Error Detection (CED) technique for Fast Fourier Transform-based convolution is proposed. The technique is based on checking the equivalence of the results of time and frequency domain calculations of the first sample of the circular convolution of the two convolution input blocks and of two consecutive output blocks. The approach provides low co...

Abstract An integral part of any reliable network security infrastructure is the intrusion detection system (IDS). Early attack can stop adversaries from further intruding on a network. Machine learning (ML) and deep (DL) techniques to automate threat at scale never previously envisioned have snowballed during past 10 years. Researchers, software engineers, professionals been encouraged reconsi...

The detection of train obstacle intrusion is very important for the safe running trains. In this paper, we design a multitask model to warn detected target obstacles in railway scenes. addition, multiobjective optimization algorithm that performs with different task complexity. Through shared structure reparameterized backbone network, our learning utilizes resources effectively. Our work achie...