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Isam A. Hussein, Basil H. Jasim and Ramzy S. Ali
Radio frequency identification (RFID) technology has widely been used in the last few years. Its applications focus on auto identification, tracking, and data capturing issues. However, RFID suffers from the main problem of tags collision when multiple t...
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Isam A. Hussein, Basil H. Jasim and Ramzy S. Ali
Radio frequency identification (RFID) technology has widely been used in the last few years. Its applications focus on auto identification, tracking, and data capturing issues. However, RFID suffers from the main problem of tags collision when multiple t...
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Natalie S. Grigorieva, Fiodor F. Legusha, Dmitry V. Nikushchenko and Kirill S. Safronov
A numerically efficient technique is presented for computing the backscattered fields from two spherical targets embedded in an underwater sediment. The bottom is assumed to be a homogeneous liquid attenuating half-space. The transmitter/receiver is loca...
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T. N. Serdiuk,O. V. Shvets,V. K. Ivanov
Pág. 218 - 223
A compensation technique for rejection of the powerful narrow-band harmonics radiated by power mains is developed for application (in computer-aided system) of detection and registration of the pulse emissions radiated by partial or crown discharges in i...
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Carolyn J. Swinney and John C. Woods
Small unmanned aerial systems (UASs) present many potential solutions and enhancements to industry today but equally pose a significant security challenge. We only need to look at the levels of disruption caused by UASs at airports in recent years. The a...
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Jiesi Luo and Shaohui Zhang
The periodic impulse characteristics caused by rolling bearing damage are weak in the incipient failure stage. Thus, these characteristics are always drowned out by background noise and other harmonic interference. A novel approach based on multi-resolut...
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Sahar Ujan, Neda Navidi and Rene Jr Landry
Radio Frequency Interference (RFI) detection and characterization play a critical role in ensuring the security of all wireless communication networks. Advances in Machine Learning (ML) have led to the deployment of many robust techniques dealing with va...
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Yang Jin and Yunling Duan
The approach for extracting features from GPR radargrams was developed based on EEMD. The proposed method was utilized to eliminate the interference signals and reconstruct subsurface profiles. This radargram interpretation approach was applied to identi...
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Shijie Shan, Jianming Zheng, Kai Wang, Ting Chen and Yuhua Shi
Aiming at the problems of the low detection accuracy and difficult identification of the early weak fault signals of rolling bearings, this paper proposes a method for detecting the early weak fault signals of rolling bearings based on a double-coupled D...
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Wenhai Cheng, Qunying Zhang, Jiaming Dong, Haiying Wang and Xiaojun Liu
Resolution and mapping bandwidth are the two most important image performance indicators that reflect satellite synthetic aperture radar (SAR) imaging reconnaissance capability. The PRI-staggered signal can simultaneously achieve high resolution in azimu...
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Run Zhang, Chengbing He, Lianyou Jing, Chaopeng Zhou, Chao Long and Jiachao Li
Underwater acoustic channels, influenced by time-varying, space-varying, frequency-varying, and multipath effects, pose significant interference challenges to underwater acoustic communication (UWAC) signals, especially in non-cooperative scenarios. The ...
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Yu Jing, Fugui Qi, Fang Yang, Yusen Cao, Mingming Zhu, Zhao Li, Tao Lei, Juanjuan Xia, Jianqi Wang and Guohua Lu
As an important and basic platform for remote life sensing, unmanned aerial vehicles (UAVs) may hide the vital signals of an injured human due to their own motion. In this work, a novel method to remove the platform motion and accurately extract human re...
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Zhifeng Hu, Zhinong Li, Liying Ge, Qinghua Mao and Xuhui Zhang
The problems of the synchroextracting transform method being unable to handle FM signals and being prone to time?frequency feature discontinuity in a strong noise environment are addressed by the construction of a novel rotation synchroextracting chirple...
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Krzysztof Strzecha, Marek Krakós, Boguslaw Wiecek, Piotr Chudzik, Karol Tatar, Grzegorz Lisowski, Volodymyr Mosorov and Dominik Sankowski
This work deals with electromyography (EMG) signal processing for the diagnosis and therapy of different muscles. Because the correct muscle activity measurement of strongly noised EMG signals is the major hurdle in medical applications, a raw measured E...
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Qiang Tu, Fei Yuan, Weidi Yang and En Cheng
Diver breathing sounds can be used as a characteristic for the passive detection of divers. This work introduces an approach for detecting the presence of a diver based on diver breathing sounds signals. An underwater channel model for passive diver dete...
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Hongquan Qu, Zhanli Fan, Shuqin Cao, Liping Pang, Hao Wang and Jie Zhang
Electroencephalogram (EEG) signals contain a lot of human body performance information. With the development of the brain?computer interface (BCI) technology, many researchers have used the feature extraction and classification algorithms in various fiel...
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Lingli Cui, Jianxi Du, Na Yang, Yonggang Xu and Liuyang Song
Vibration analysis is one of the main effective ways for rolling bearing fault diagnosis, and a challenge is how to accurately separate the inner and outer race fault features from noisy compound faults signals. Therefore, a novel compound fault separati...
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Yaohui Hu, Wuwei Kang, Yong Fang, Lingrui Xie, Longzhen Qiu and Tao Jin
In this paper, a sensor based on polyvinylidene fluoride (PVDF) piezoelectric thin film was designed and fabricated to detect wrist motion signals. A series of dynamic experiments have been carried out, including the contrast experiments of different mat...
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Qingyong Zhang, Changhuan Song and Yiqing Yuan
Vehicle gearboxes are subject to strong noise interference during operation, and the noise in the signal affects the accuracy of fault identification. Signal denoising and fault diagnosis processes are often conducted independently, overlooking their syn...
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Xiwen Deng, Zhongliang Deng, Jingrong Liu, Zhenke Ding and Zhichao Zhang
We propose a communication positioning integrated signal (CPIS) to achieve sub-meter positioning of metro trains. However, the electromagnetic environment of metro trains is complex, and the interference of radio frequency signals will reduce the accurac...
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