Design of an IoT DDoS attack prediction system based on data mining technology

L Huang - The Journal of Supercomputing, 2022 - Springer
Due to the rise of the Internet of things (IoT), the threat to information security extends from
general servers to IoT devices. Possible IoT security issues include all kinds of network …

A research on online education behavior and strategy in university

Q Deng - Frontiers in Psychology, 2022 - frontiersin.org
After the reform and opening up in China, through a series of rapid developments in world,
online education has grown both socially and economically. This area has become …

Using a task dependency job-scheduling method to make energy savings in a cloud computing environment

R Chen, X Chen, C Yang - The Journal of Supercomputing, 2022 - Springer
Internet technology has developed rapidly, especially in the field of cloud computing. With
the gradual growth of cloud computing capabilities, power consumption in data centres has …

The effect of education model in physical education on student learning behavior

Y Chu, C Chen, G Wang, F Su - Frontiers in psychology, 2022 - frontiersin.org
This research explores the effect of the sports education model implemented in physical
education on college students' learning motivation and outcomes. The sports education …

Attacks and Solutions for a Two‐Factor Authentication Protocol for Wireless Body Area Networks

CM Chen, Z Li, SA Chaudhry… - Security and …, 2021 - Wiley Online Library
As an extension of the 4G system, 5G is a new generation of broadband mobile
communication with high speed, low latency, and large connection characteristics. It solves …

A Fine-Grained End-to-End Latency Optimization Framework for Wireless Collaborative Inference

L Mu, Z Li, W Xiao, R Zhang, P Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Mobile devices are becoming increasingly capable of delivering intelligent services by
leveraging deep learning architectures such as deep neural networks (DNNs). However …

OfpCNN: On-Demand Fine-Grained Partitioning for CNN Inference Acceleration in Heterogeneous Devices

L Yang, C Zheng, X Shen, G Xie - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Collaborative inference is a promising method for balancing the limited computational power
of Internet of Things (IoT) devices with the huge computational demands of convolutional …

Functional motion detection based on artificial intelligence

L Huang, G Liu - The Journal of Supercomputing, 2022 - Springer
Sports injuries can be a major problem for athletes. Therefore, sports injury protection has
become a key focus of attention in sports and medical circles. With widening participation in …

Towards Lifelong Unseen Task Processing With a Lightweight Unlabeled Data Schema for AIoT

T Tu, Z He, Z Zheng, Z Zheng, J Jiang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), IoT devices find applications in
various domains. The data generated by these devices is utilized for analysis and services …

Path Forward Beyond Simulators: Fast and Accurate GPU Execution Time Prediction for DNN Workloads

Y Li, Y Sun, A Jog - Proceedings of the 56th Annual IEEE/ACM …, 2023 - dl.acm.org
Today, DNNs' high computational complexity and sub-optimal device utilization present a
major roadblock to democratizing DNNs. To reduce the execution time and improve device …