Block-oriented signal processing techniques have exceptional role due to the availability of fast algorithms. However , if larger data segments are to be evaluated in real-time, the delay caused by the block-oriented approach is not always tolerable especially if the response time of our evaluating system is also specied. This can be exceptionally critical if the signal processing is related to...

We reveal that a synthetic photonic lattice based on coupled optical loops can be utilized as feed-forward neural network for processing of pulse sequences in time domain. As proof concept, we train the system to restore an initial shape from signal distorted due linear dispersion fiber-optic link. also show efficient training with intrinsic Kerr-type nonlinearity realization target nonlinear t...

Cellular automata are dynamical systems which emulate natural evolution. Cellular automata is a part of Artificial Life. The paper explains the basics of Artificial Life and Cellular Automata. It also examines the basic building block of such systems that is Langton’s Loops. The paper discusses various applications of Artificial Life and Cellular Automata and also intends to present a brief rev...

Thixotropic properties are one of the low temperature rheology behaviors of gelled waxy crudes. In order to study the thixotropic behavior of gelled waxy crudes oil under cyclic loading of linear increasing and decreasing of shear rate, three different types of waxy crude oil were studied experimentally by using MARSIII rheometer. It is found that hysteresis loop area could represent strength o...

In many parallel applications, network latency causes a dramatic loss in processor utilization. This paper examines software pipelining as a technique for network latency hiding. It quanti es the potential improvements with detailed, instruction-level simulations. The benchmarks used are the Livermore Loop kernels and BLAS Level 1. These were parallelized and run on the instruction-level RISC s...

Acquiring models of the environment belongs to the fundamental tasks of mobile robots. In the past, several researchers have focused on the problem of simultaneous localization and mapping (SLAM). Classical SLAM approaches are passive in the sense that they only process the perceived sensor data and do not influence the motion of the mobile robot. In this paper, we present a novel integrated ap...