Titlebook: IoT as a Service; 9th EAI Internationa Xiang Chen,Xijun Wang,Jing Liu Conference proceedings 2025 ICST Institute for Computer Sciences, Soc

演講

流眼淚

Instinctive

olfction

Based on the Nonlinear State Equations of 6-DOF Robot with Application to Autonomous Flightotor aircraft is obtained by considering two different approaches for computation of controller fragility, stability radii comparison and weighted eigenvalue sensitivity calculation. A numerical method for reduction of controller fragility is presented. The simulation results show that the time delay compensation effect is well realized.

nonradioactive

Optimal Access Point Selection Approach for User-Centric Cell-Free Massive MIMO Systems efficiently obtain the optimal subset of APs for each user. Our simulation results?show that the proposed algorithm outperforms other baseline methods?in terms of channel capacity at the expense of some complexity. Meanwhile, our complexity is much lower than the exhaustive search, which also yields optimal results.

harangue

尊敬

Design and Optimization of a Solar-Powered IRS and Relay Assisted MEC Systemct to the battery energy states of the IRS and the relay with the energy causality constraints. The problem is solved using the Lyapunov optimization framework and an alternating optimization algorithm. Simulation results show that the proposed system optimization scheme can save 70%-95% of energy consumption as compared to the baseline schemes.

epidermis

endoscopy

Research on the Lip-Print Recognition Based on Multi-scale Featureprint recognition tasks, a lip-print recognition algorithm based on grouped multi-scale feature fusion is proposed. The ablation experimental results show that the improved recognition model achieves 98.56% recognition accuracy on the test set, and the model has strong generalization ability and fea

賞心悅目

Highway Obstacle Recognition Based on Improved YOLOv7 and Defogging Algorithms algorithm is applicable not only to images taken in hazy weather conditions but also incorporates intelligent transportation systems by employing YOLOv7 object recognition technology. This enables accurate detection and identification of traffic objects within the images. By integrating the improv