Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application increasingly automated self-operating moving transportation units, spaces demands a precise knowledge their positions. Technologies like WiFi Bluetooth, despite low-cost availability, are sensitive to signal noise fading effects. For these reasons, hy...

In Computer Vision domain, moving Object Tracking considered as one of the toughest problem. As there so many factors associated like illumination of light, noise, occlusion, sudden start and stop of moving object, shading which makes tracking even harder problem not only for dynamic background but also for static background. In this paper we present a new object tracking algorithm based on Dom...

Permutation flow shop scheduling problem (PFSSP), a NP-hard combinatorial optimization problem, has strong engineering background of finding the optimal processing sequence and time of jobs on machines under the constraints of resources. Recently, several approaches based on Particle Swarm Optimization (PSO) have been developed to solve the PFSSP, and the experimental results show that they are...

Abstract Power system dispatch benefits from accurate wind power predictions. To increase the prediction precision for power, this paper proposes a combined model predicting short-term based on autoregressive moving average-gated recurrent unit (ARMA-GRU). Firstly, we build ARMA and GRU respectively to predict power. Then optimize model’s weights by quantum particle swarm algorithm (QPSO). Fina...

Utilizing the measured distance and information exchanged between two different nodes to cooperatively locate in a mobile network has become solution replace global navigation satellite system (GNSS) positioning. However, localization accuracy of belief propagation-based cooperative scheme is substantially influenced by number neighbors. In this paper, we propose combined with trajectory tracki...