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Zhiqiang Liu, Yongqing Zhang, Weidong Wang, Xiangshui Li, Hui Li, Wentao Shi and Wasiq Ali
Recently, many direction-of-arrival (DOA) estimation techniques based on sparse representation have been proposed. However, these techniques often suffer from performance degradation issues in the presence of impulsive noise. This paper aims to overcome ...
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Weidong Wang, Xiangshui Li, Kai Zhang, Juan Shi, Wentao Shi and Wasiq Ali
To minimize the major decline in direction of arrival (DOA) estimation performance for an acoustic vector sensor array (AVSA) with the coexistence of axial deviation and non-uniform noise, a two-step iterative minimization (TSIM) method is proposed in th...
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Wootae Jeong and Dahae Jeong
Results and algorithm proposed in this research can be applicable in developing devices measruing acoustic rail surface irregularities, and various potental surface measuring equipment with a moving platform.
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Olivér Töro, Tamás Bécsi, Szilárd Aradi
Pág. 77 - 84
The paper presents the performance evaluation of a multi-sensor object detection algorithm applied in traffic situation. The chosen data fusion and estimation procedure is the Bernoulli particle filter, which is ideal for cooperative object detection, as...
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Paul Lee, Gerasimos Theotokatos and Evangelos Boulougouris
Autonomous ships are expected to extensively rely on perception sensors for situation awareness and safety during challenging operations, such as reactive collision avoidance. However, sensor noise is inevitable and its impact on end-to-end decision-maki...
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Ki-Cheol Yoon, Kwang-Gi Kim, Jun-Won Chung and Byeong-Soo Kim
Sensors in the medical field to detect specific tissues, such as radars, must provide accurate signals from frequency generators. In order to supply an accurate frequency signal, the oscillator must have a low phase noise. Therefore, the resonator used i...
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Steven G. Ackleson, Wesley J. Moses and Marcos J. Montes
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Waleed Aldosari and Mohamed Zohdy
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Bo Liu, Qiang Xu, Jianyun Chen, Jing Li and Mingming Wang
To address the problem of sensor faults and measurement noise being misinterpreted as structural damage in structural health monitoring (SHM), this paper proposes a new framework for distinguishing sensor faults and structural damage based on stacked gat...
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Roger Cesarié Ntankouo Njila, Mir Abolfazl Mostafavi and Jean Brodeur
In this paper, we propose a decentralized semantic reasoning approach for modeling vague spatial objects from sensor network data describing vague shape phenomena, such as forest fire, air pollution, traffic noise, etc. This is a challenging problem as i...
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Zhenhai Wang, Pengfei Fu and Xing Chao
Laser absorption spectroscopy (LAS) is a promising diagnostic method capable of providing high-bandwidth, species-specific sensing, and highly quantitative measurements. This review aims at providing general guidelines from the perspective of LAS sensor ...
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Jing Guo, Bo Xiao and Hongliang Ren
Force sensing in robotic-assisted minimally invasive surgery (RMIS) is crucial for performing dedicated surgical procedures, such as bilateral teleoperation and palpation. Due to the bio-compatibility and sterilization requirements, a specially designed ...
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Ruslans Babajans, Darja Cirjulina, Filips Capligins, Deniss Kolosovs and Anna Litvinenko
The current work is focused on studying the performance of the Pecora?Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of...
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Luigi Lombardi, Gianvito Matarrese and Cristoforo Marzocca
The quartz tuning fork used as an acoustic sensor in quartz-enhanced photo-acoustic spectroscopy gas detection systems is usually read out by means of a transimpedance preamplifier based on a low-noise operational amplifier closed in a feedback loop. The...
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Shuai Wang, Xiaodong Zhao, Wenhang Liu, Jianqiang Du, Dongxu Zhao and Zhihong Yu
During the crop harvesting process, it is important to obtain the crop yield quickly, accurately and in real time to accelerate the development of smart agriculture. This paper investigated a denoising method applicable to the impact-type sunflower yield...
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Ying Liu, Yingmin Wang and Cheng Chen
Underwater acoustic localization (UWAL) is extremely challenging due to the multipath nature of extreme underwater environments, the sensor position uncertainty caused by unpredictable ocean currents, and the lack of underwater observation data due to sp...
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Andreas Döring, Markus Vogelbacher, Oliver Schneider, Jacob Müller, Stefan Hinz and Jörg Matthes
Prestressed concrete bridges built between 1960 and 1990 no longer meet today?s requirements due to loads and increasing mileage of higher loads that have increased since the bridges were designed. Prestressed concrete bridges are representative of Germa...
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Adebola Omolaja, Abayomi Otebolaku and Ali Alfoudi
Smart devices, such as smartphones, smartwatches, etc., are examples of promising platforms for automatic recognition of human activities. However, it is difficult to accurately monitor complex human activities on these platforms due to interclass patter...
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Yuwei Zhang, Jiaju Hong, Haotian Shi, Yucai Xie, Hongpeng Zhang, Shuyao Zhang, Wei Li and Haiquan Chen
Diesel engines in marine power systems often work in extreme environments. Oil monitoring technology can guarantee the operational safety of diesel engines. In this paper, a magnetic plug sensor for oil debris monitoring is proposed to improve sensitivit...
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Gavin James Lowes, Jeffrey Neasham, Richie Burnett, Benjamin Sherlock and Charalampos Tsimenidis
This paper presents the development of a low-energy passive acoustic vessel detector to work as part of a wireless underwater monitoring network. The vessel detection method is based on a low-energy implementation of Detection of Envelope Modulation On N...
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