Titlebook: Intelligent Robotics and Applications; 12th International C Haibin Yu,Jinguo Liu,Dalin Zhou Conference proceedings 2019 Springer Nature Swi

defuse

Gang Peng,Lu Hu,Wei Zheng,Shan Liang Chen führt, w?hrend er im ?ffentlichen Sektor zum Rent-Seeking oder zur Verschwendung führen soll. Wenn wir wirklich nur von Eigeninteresse geleitet werden, sowohl im privaten als auch im ?ffentlichen Sektor, dann haben die ?sterreicher wahrscheinlich recht. Dies würde jedoch bedeuten, dass die Menschhe

NORM

悄悄移動(dòng)

AGOG

progestogen

Conference proceedings 2019-inspired wall climbing robot; underwater acoustic and optical signal processing for environmental cognition; piezoelectric actuators and micro-nano manipulations; robot vision and scene understanding; visual and motional learning in robotics; signal processing and underwater bionic robots; soft loc

有毛就脫毛

staging

Secrecy Energy Efficiency Maximization for UAV-Aided Communication Systemsrative algorithm is proposed by leveraging block coordinate descent and Dinkelbach method in combination with successive convex approximation techniques. Simulation results show that the proposed scheme outperforms other benchmarks significantly in terms of the system SEE.

平靜生活

An Efficient Image Quality Assessment Guidance Method for Unmanned Aerial Vehicleistorted by four methods, i.e., Gaussian additive white noise, Gaussian blur, jpeg compression and jp2k compression. Moreover, a new local image segmentation method is designed to segment each image into 6 local areas. For the subjective scores, global-local correlation is analyzed by Spearman Rank

CRATE

Secure Transmission Design for UAV-Based SWIPT Networksm. Then, we adopt the semidefinite relaxation (SDR) technique to obtain the optimal solution of the original problem. Simulation results indicate that the developed secure transmit signal algorithm can obtain better performance gains than other algorithms.

強(qiáng)制性

Improved Neural Network 3D Space Obstacle Avoidance Algorithm for Mobile Robotts the requirements of obstacle avoidance security. The simulation experiment of the algorithm is simulated by Matlab. The results show that the improved neural network spatial obstacle avoidance algorithm based on the multiple algorithms proposed in this paper can effectively accelerate the converg