Information entropy has been proved to be an effective tool to quantify the structural importance of complex networks. In the previous work (Xu et al, 2016 [31]), we measure the contribution of a path in link prediction with information entropy. In this paper, we further quantify the contribution of a path with both path entropy and path weight, and propose a weighted prediction index based on ...

There is an increased exploration of the potential wireless communication networks in automation daily human tasks via Internet Things. Such implementations are only possible with proper design networks. Path loss prediction a key factor parameters such as cell radius, antenna heights, and number sites that can be set. As path affected by environment, satellite images network locations used dev...

The present study reports the field strength measurements of some GSM transmitters in the 900 MHz band located in the urban and suburban regions of Delhi in India. The measured signal levels converted into path loss values have been compared with the losses predicted from models like Hata, Lee and COST 231 Walfisch & Ikegami. The prediction errors and standard deviations of the predictions erro...

Appropriate formulation of the UTD diffracted field is important for propagation prediction. Among the wedge. diffraction solutions for nonperfectly conducting surfaces in the literature, exact formulations are mostly based on Maliuzhinets's derivation [1] and are computationally prohibitive for practical applications. On the other hand, heuristic formulations, modified from the UTD diffraction...

Path prediction is presently an important area of research with a wide range of applications. However, most of the existing path prediction solutions are based on eager learning methods which commit to a model or a set of patterns extracted from historical trajectories. Such methods do not perform very well in dynamic environments where the objects’ trajectories are affected by many irregular f...

Accurate lifetime prediction of lithium-ion batteries is a great challenge for the researchers and engineers involved in battery applications in electric vehicles and satellites.  In this study, a semi-empirical model is introduced to predict the capacity loss of lithium-ion batteries as a function of charge and discharge cycles, operational time, and temperature. The model parameters are obtai...