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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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Mykola Fedula,Tetiana Hovorushchenko,Andrii Nicheporuk,Valeriy Martynyuk
Pág. 44 - 51
The results of detection of periodic signals using the chaos theory based on discrete processing of the Duffing attractor in the Poincare section were considered.A chaotic Duffing system characterized by high sensitivity to periodic signals and a possibi...
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Jiangkun Gong, Jun Yan, Huiping Hu, Deyong Kong and Deren Li
The detection of drones using radar presents challenges due to their small radar cross-section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio (SNR) detectors often fail to detect weak radar signals from small drones, ...
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Christos Pantos, Hanno Hildmann and João Valente
This study aims to explore the communication capabilities for video crucial applications of two commercial drones?the Parrot AR.Drone 2.0 and the Parrot Anafi?in a greenhouse environment. Experiments were conducted on Received Signal Strength (RSS), Roun...
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Zheng Ma, Zelin Zhang, Zhaohui Zhang, Zhiqiang Song, Yanbin Liu, Yaoming Li and Lizhang Xu
Cleaning is one of the most important steps in the harvesting process, and the prolonged and high-load operation of the vibrating sieve can decrease its reliability. To uncover the structural flaws of the cleaning sieve in the crawler combine harvester a...
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Tong Liu, Hanlin Sheng, Zhaosheng Jin, Li Ding, Qian Chen, Rui Huang, Shengyi Liu, Jiacheng Li and Bingxiong Yin
This paper presents an effective method for measuring oil debris with high confidence to ensure the wear monitoring of aero-engines, which suffers from severe noise interference, weak signal characteristics, and false detection. First, an improved variat...
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Chung-Ke Yu, Ding-Bing Lin and Hsin-Piao Lin
A novel wideband common-mode (CM) suppression filter is proposed for high-speed transmission. The filter is embedded in 3 10 mm × 10 mm layers of a printed circuit board (PCB) that combines a mushroom structure and a defected corrugated reference plane s...
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Florin Radu, Petru A. Cotfas, Marian Alexandru, Titus C. Balan, Vlad Popescu and Daniel T. Cotfas
In this paper, we present the implementation of a system that identifies the modulation of complex radio signals. This is realized using an artificial intelligence model developed, trained, and integrated with Microsoft Azure cloud. We consider that clou...
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Zhigang Zhu, Zhijian Yi, Shiyao Li and Lin Li
Radar data mining is the key module for signal analysis, where patterns hidden inside of signals are gradually available in the learning process and its superiority is significant for enhancing the security of the radar emitter classification (REC) syste...
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Lucian Evdochim, Drago? Dobrescu, Stela Halichidis, Lidia Dobrescu and Silviu Stanciu
Hypertension detection analyzing the morphology of the PPG signal aided by Machine Learning Techniques.
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Natee Thong-un, Wongsakorn Wongsaroj
Pág. 77 - 91
This study proposes a method for concurrently determining the position and velocity of a moving object in three-dimensional (3D) space using echolocation. A spherical object, i.e., a flying ball, is used to demonstrate the ability of the proposed method....
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Olena Monchenko,Yelyzaveta Kutniak,Hanna Martyniuk,Nadiia Marchenko
Pág. 72 - 79
A universal mathematical model of a noise signal in pipeline systems from the point of its origin to the observation point was presented. Due to the indicator function introduced into it, the model makes it possible to use different types of components a...
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Yujing Lin, Fei Yuan and En Cheng
Broadband Acoustic Doppler Current Profiler (BBADCP) is a widely used technology in velocity measurements. To adapt to the varied water environment and different measurement requirements, flexible tuning of transmitted signal parameters will improve the ...
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Angélica Emygdio da Silva Antonetti, Larissa Thais Donalonso Siqueira, Maria Paula de Almeida Gobbo, Alcione Ghedini Brasolotto and Kelly Cristina Alves Silverio
Cepstral peak prominence-smoothed (CPPs) and long-term average spectrum (LTAS) are robust measures that represent the glottal source and source-filter interactions, respectively. Until now, little has been known about how physiological events impact audi...
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Bu Il Jeon, Byung Jun Kang, Hyun Chan Cho and Jongwon Kim
An electromyogram (EMG) is a signal for muscle output that indicates the degree of muscle contraction and relaxation. For these muscle signals to be output, certain signals must be received from the brain. To analyze these relations, electroencephalogram...
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Alaa Alqatawneh, Rania Alhalaseh, Ahmad Hassanat and Mohammad Abbadi
In this paper, an efficient, accurate, and nonparametric epilepsy detection and classification approach based on electroencephalogram (EEG) signals is proposed. The proposed approach mainly depends on a feature extraction process that is conducted using ...
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Hong Liang, Yong Chen, Siyuan Liang and Chengdong Wang
The stator inter-turn short circuit fault is one of the most common and key faults in permanent magnet synchronous motor (PMSM). This paper introduces a time–frequency method for inter-turn fault detection in stator winding of PMSM using improved w...
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Farika Putri,Wahyu Caesarendra,Elta Diah Pamanasari,Mochammad Ariyanto,Joga D Setiawan
Pág. 87 - 98
Parkinson disease (PD) detection using pattern recognition method has been presented in literatures. This paper present multi-class PD detection utilizing voice and electromyography (EMG) features of Indonesian subjects. The multi-class classification co...
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Dongyuan Li, Chengshuai Li, Zidong Wang, Deqiang Wang, Jianping Xing and Bo Zhang
In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status...
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Dongyuan Li, Chengshuai Li, Zidong Wang, Deqiang Wang, Jianping Xing and Bo Zhang
In this paper, we propose a consensus algorithm with input constraints for traffic light signals in transit signal priority (TSP). TSP ensures control strategy of traffic light signals can be adjusted and applied according to the real-time traffic status...
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