Multiple Traveling Salesman Problem (MTSP) is one of the most popular operation research problem and is known as combinatorial optimization problems. MTSP is an extension version of the famous and widely used problem ...

This paper presents a new damping controller design based on fuzzy wavelet neural network (FWNN) to damp the multi-machine power system low frequency oscillations. The error between the desired system output and the ...

Neural network is one of the most widely used algorithms in the field of machine learning, On the other hand, neural network training is a complicated and important process. Supervised learning needs to be ...

Session Initiation Protocol (SIP) is the main signaling protocol of next generation networks (NGN). SIP based applications are usually deployed over the Internet, for which their text-based nature and internal stateful ...

This paper presents a new audio encryption algorithm based on permutation and residue number system. In the current approach, signal samples are combined with residue number system through permutation; therefore, a ...

Scaling challenges and limitations of conventional silicon transistors have led the designers to apply novel nano-technologies. One of the most promising and possible nano-technologies is CNT (Carbon Nanotube) based ...

Exploiting multimodal information like acceleration and heart rate is a promising method to achieve human action recognition. A semi-supervised action recognition approach AUCC (Action Understanding with Combinational ...

We design and simulate a five-port optical router, which is composed of twenty Mach-Zehnder-based switching elements and twelve waveguide crossings for use in integrated photonic interconnection networks. We ...