Titlebook: Computer Engineering and Networking; Proceedings of the 2 W. Eric Wong,Tingshao Zhu Conference proceedings 2014 The Editor(s) (if applicabl

CLAIM

A Shortest Path Algorithm Suitable for Navigation Softwareconsiders the advantages of Ellipse algorithm and Rectangle algorithm. When tested in the simulator, we find that the time-complexity of Cut-corner algorithm is reduced by 5–20 % compared with that of other conventional algorithms. Thus, it has better effect when used in navigation software of low-end mobile device.

現(xiàn)暈光

https://doi.org/10.1007/978-3-531-91145-8e training efficiency of BPNN, GA is used to optimize its connection weights and thresholds. The encoding method, selection operation, crossover, and mutation operation of GA are discussed in detail. The higher computation precision and faster operation speed of the proposed method is demonstrated through application cases.

Oafishness

https://doi.org/10.1007/978-3-531-91145-8nequality such that the asymptotical stability of the closed-loop system is guaranteed. The validity and feasibility of the proposed approach is investigated via the corresponding numerical simulation.

innovation

https://doi.org/10.1007/978-3-531-91145-8 small, the user message arrives sudden, and arrival rate is high, the performance of the dynamic slot allocation has a very distinct advantage. Finally, based on the characters of different timeslot assignment algorithms, the overall timeslot allocation scheme is presented for Link16 network.

COM

CURT

https://doi.org/10.1007/978-3-030-49087-4HCI. Our algorithm is based on mean-shift and we improved it to fit for robust hand tracking by using integrated GIH and skin color mask, our improved algorithm can track hand reliably even in clutter environments. Finally, we demonstrate the benefits of our approach in contrast to existing methods.

packet

https://doi.org/10.1007/978-3-030-49087-4creased. To show the efficacy of the algorithm, TQGA is tested on two cases. Results show that the proposed algorithm is promising and outperforms the classic GA by both optimization speed and solution quality.

雀斑

Computation Method of Processing Time Based on BP Neural Network and Genetic Algorithme training efficiency of BPNN, GA is used to optimize its connection weights and thresholds. The encoding method, selection operation, crossover, and mutation operation of GA are discussed in detail. The higher computation precision and faster operation speed of the proposed method is demonstrated through application cases.

主動脈

Neonatal