Results 41 to 50 of about 8,015 (302)

The Anti-Jamming Design Based on DSP System [PDF]

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), 2013
This paper describes the sources of interference in the DSP system and its harm. The designs of both the hardware and the software anti-jamming technology are given respectively, and the purpose of the DSP system anti-jamming is realized.
Wei Zhang, Quan-zhi Zhou, Yun-feng Peng, Chang Shu   +3 more
openaire   +2 more sources

A novel nomogram and risk classification system for predicting lymph node metastasis of breast mucinous carcinoma: A SEER‐based study

Cancer Medicine, Volume 11, Issue 24, Page 4767-4783, December 2022., 2022
1. In this study, we observed that mucinous breast cancer with metastatic lymph nodes have a worse prognosis and identified tumor size, grade and age as independent risk factors of lymph node metastasis. 2. we constructed a nomogram with factors of tumor size, grade, age and developed a risk classification system for predicting the risk of lymph node ...
Shuang‐Ling Wu, Jun Da Gai, Xin Miao Yu, Xiaoyun Mao, Feng Jin   +4 more
wiley   +1 more source

CAWE-ACNN Algorithm for Coprime Sensor Array Adaptive Beamforming

Sensors
This paper presents a robust adaptive beamforming algorithm based on an attention convolutional neural network (ACNN) for coprime sensor arrays, named the CAWE-ACNN algorithm.
Fulai Liu, Wu Zhou, Dongbao Qin, Zhixin Liu, Huifang Wang, Ruiyan Du   +5 more
doaj   +1 more source

Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach

, 2020
Malicious jamming launched by smart jammers can attack legitimate transmissions, which has been regarded as one of the critical security challenges in wireless communications.
Niyato, Dusit, Poor, H. Vincent, Tornatore, Massimo, Wu, Qingqing, Xiong, Zehui, Yang, Helin, Zhao, Jun   +6 more
core   +1 more source

A Real-Time Phase Center Variation Compensation Algorithm for the Anti-Jamming GNSS Antennas

IEEE Access, 2020
The anti-jamming antenna is one of the most efficient ways to resist the adversary effect of the interference signal in GNSS positioning. Most anti-jamming antennas can adaptively adjust the radiation figure of the antenna to minimize the interference ...
Kejin Cao, Lei Wang, Bao Li, Hengchao Ma
doaj   +1 more source

A multi‐agent reinforcement learning anti‐jamming method with partially overlapping channels

IET Communications, 2021
This paper investigates the problem of multi‐user anti‐jamming channel access with partially overlapping channels (POC). Compared with traditional anti‐jamming systems that use non‐overlapping channels, POC improve the spectral efficiency.
Yunpeng Zhang, Luliang Jia, Nan Qi, Yifan Xu, Xueqiang Chen   +4 more
doaj   +1 more source

An Anti-Jamming Strategy for Disco Intelligent Reflecting Surfaces Based Fully-Passive Jamming Attacks

, 2023
Emerging intelligent reflecting surfaces (IRSs) significantly improve system performance, while also pose a huge risk for physical layer security. A disco IRS (DIRS), i.e., an illegitimate IRS with random time-varying reflection properties, can be ...
Cai, Yi, Han, Zhu, Huang, Huan, Swindlehurst, A. Lee, Zhang, Hongliang   +4 more
core  

Anti-jamming in a fungal transport network

, 2016
Congestion limits the efficiency of transport networks ranging from highways to the internet. Fungal hyphal networks are studied as an examples of optimal biological transport networks, but the scheduling and direction of traffic to avoid congestion has not been examined.
Hickey, Patrick C., Dou, Haoxuan, Foshe, Sierra, Roper, Marcus   +3 more
openaire   +2 more sources

On the Performance of Deep Reinforcement Learning-Based Anti-Jamming Method Confronting Intelligent Jammer

Applied Sciences, 2019
With the development of access technologies and artificial intelligence, a deep reinforcement learning (DRL) algorithm is proposed into channel accessing and anti-jamming.
Yangyang Li, Ximing Wang, Dianxiong Liu, Qiuju Guo, Xin Liu, Jie Zhang, Yitao Xu   +6 more
doaj   +1 more source

Modeling and experimental study on drilling rig anti-jamming valve with BP neural network [PDF]

, 2016
An effective anti-jamming system is significant in improving the working reliability of hydraulic drilling rigs. An anti-jamming valve is a core component of an anti-jamming system. A back-propagation (BP) neural network model was established for an anti-
Fei Ma, Wei Ma
core   +1 more source