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Ship integrated power system adopt electric power propulsion, power network and electric power network are integrated into complicated one. Network reconfiguration of ship integrated power system is a typical non-linear optimization. A model of ship integrated power system is established. Genetic algorithm is used to solve reconfiguration problem. The result of simulation shows that genetic algorithm...
Because of the high mobility of nodes, vehicular scenarios in VANETs (vehicular ad hoc networks) are various. When VANETs are sparse, there are no end-to-end connections. It is essential that nodes should take advantage of connection opportunities to forward messages. Thus, it is crucial to make sure that selfish nodes have motivations to forward messages. When VANETs are dense, if all nodes are selfish...
In this paper, cycle time prediction of wafer lots is studied. A memetic algorithm called GSMPSO by combining the PSO with a Gaussian mutation operator and a Simulated Annealing (SA)-based local search operator is developed to weight the features for K Nearest Neighbors (KNN) regression. The GSMPSO-KNN regression method is used to predict the cycle time of wafer lots. The experiment result demonstrates...
The main solid waste of metal mine are tailings. The mixture of tailings and cement can be made into filling slurry to fill the mined out space, which is a typical method of solid waste treatment. The prediction for mix proportion of filling slurry is a complex nonlinear process, and the strength of filling body formed by filling slurry is very significant to cemented tailings backfilling. Based on...
To balance the precision and generality of the prediction model, a new path loss artificial neural network (ANN) prediction model for railway environments is presented firstly in this paper. The utilization of back propagation ANN can overcome some disadvantages of such conventional prediction models as empirical and deterministic models. The training data is based on the electric field strength measurements...
Face recognition is a technology that analyzes the image and extracts effective recognition information to distinguish identity by computer. It has high value of research and good application prospect. A novel method for human face recognition has been introduced in this paper. This method is based on a simplified approach for the pulse coupled neural network (PCNN) algorithm. And the Euclidean distance...
With the development of positioning in indoor wireless environments, RSS-based indoor positioning algorithm has been widely applied. Compared with other indoor positioning algorithms, the greatest advantage of RSS-based is that it can be configured easily and can get the signal strength from various types of networks that support the 802.11 protocol. Furthermore, it doesn't need complex clock synchronization...
The reason of frequency band derangement and the rule of frequency band division of wavelet packet transform were analyzed. The correct frequency band sequence of wavelet packet transform (WPT) was found. Then in this study, because of the texture feature information is on the middle frequency band, according to the conclusion, we select the correct frequency band sequence of WPT to classify tea categories,...
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