Aiming at the problems of PBFT algorithm consortium blockchain, such as high communication overhead, low consensus efficiency, and random selection leader nodes, an optimized is proposed. Firstly, improves C4.5 introduces weighted average information gain to overcome mutual influence between conditional attributes improve classification accuracy. Then classify nodes with improved C4.5, select o...

permanent magnet synchronous generators (pmsgs) are novel generators which can be used in high-performance wind farms. high efficiency and flexibility in producing electricity from variable rotation make them good candidate for wind power applications. furthermore, because these kinds of generators have no excitation winding, there is no copper loss on rotor; hence, they can operate at high pow...

this study is focused on developing an integrated optimization-simulation based genetic algorithm model (iosga) to develop the operational policies for a multi-purpose reservoir system. the objective function of the optimization model is considered to be a linear function of reliability (rel), resiliency (res), and vulnerability (vul) of the river-reservoir system. genetic algorithm (ga) is emp...

The dynamic drying process of the active layer should play a vitally important role in determining the performance of polymer solar cells (PSCs). Donor molecular packing and acceptor redistribution can be optimized by two successive post-treatments on the active layer. The blend films were freshly prepared by spin-coating method and then immediately transferred to a covered glass Petri dish to ...

In recent times, big data has become an essential concern with the rapid increase of digitalization. The problems that find solutions to finding and evaluating features are called optimization problems. this paper, sets containing EEG signals have been studied. goal is detect actual while eliminating additional brain activity patterns in collected data, resulting more accurate interpretation. s...