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检索条件"任意字段=Conference on Advanced Sensor Systems and Applications XI"

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RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi - Person Tracking

RAV4D: A Radar-Audia-Visual Dataset for Indoor Multi - Perso...

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2024 IEEE Radar conference, RadarConf 2024

作者： Zhou, Yi Song, Ningfei Ma, Jieming Man, Ka Lok López-Benítez, Miguel Yu, Limin Yue, Yutao School of Advanced Technology Xi'an Jiaotong-Liverpool University Suzhou China University of Liverpool Department of Electrical Engineering and Electronics Liverpool United Kingdom Institute of Deep Perception Technology Jitri Wuxi China

ISBN: (纸本)9798350329209

Indoor multi-person tracking is a widely explored area of research. However, publicly available datasets are either oversimplified or provide only visual data. To fill this gap, our paper presents the RAV4D dataset, a novel multimodal dataset that includes data from radar, microphone arrays, and stereo cameras. This dataset is characterised by the provision of 3D positions, Euler angles and Doppler velocities. By integrating these different data types, RAV 4D aims to exploit the synergistic and complementary capabilities of these modalities to improve tracking performance. The development of RAV4D addresses two main challenges: sensor calibration and 3D annotation. A novel calibration target is designed to effectively calibrate the radar, stereo camera and microphone array. In addition, a visually guided annotation framework is proposed to address the challenge of annotating radar data. This framework uses head positions, heading orientation and depth information from stereo cameras and radar to establish accurate ground truth for multimodal tracking trajectories. The dataset is publicly available at https://***/records/l0208199. © 2024 IEEE.

关键词： Stereo image processing

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Design and performance analysis of tetrafurcated optical fiber displacement sensors for enhanced range and linearity 11

Design and performance analysis of tetrafurcated optical fib...

引用

Photonic Instrumentation Engineering xi 2024

作者： Zubia, Gorka Zubia, Joseba Durana, Gaizka Aldabaldetreku, Gotzon Amorebieta, Josu Dept. of Automatic Control and Systems Engineering University of the Basque Country Plaza Ingeniero Torres Quevedo 1 Bilbao48013 Spain Dept. of Communications Engineering University of the Basque Country Plaza Ingeniero Torres Quevedo 1 Bilbao48013 Spain Dept. of Applied Mathematics University of the Basque Country Plaza Ingeniero Torres Quevedo 1 Bilbao48013 Spain

ISBN: (纸本)9781510670464

Optical fiber displacement sensors (OFDS) offer several advantages over conventional sensors due to their compact size and immunity to electromagnetic interference. These are particularly useful for applications in confined spaces, including aeronautical turbines. The critical component of OFDS is the fiber bundle, whose response depends on the arrangement, radius, and number of fibers. We developed a straightforward yet effective method for designing OFDSs based on sensor specifications: working point, range, and sensitivity. This allows to determine the bundle geometry directly from the specified requirements. Among the explored designs, the tetrafurcated bundle stands out, composed by a transmitting fiber at the center, surrounded by three collections of receiving fibers. This paper demonstrates that tetrafurcated OFDS designs significantly enhance both the range and linearity. Additionally, they effectively reduce the dead zone of the sensors, enabling precise measurements even at very short distances. The design has been manufactured and experimentally validated. Simulation and measurements are in good agreement with an MSE of 0.26%. Our findings highlight the practicality and reliability of tetrafurcated OFDS designs, opening new possibilities for advanced displacement sensing applications. © 2024 SPIE.

关键词： Optical fibers

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Sensitivity-Enhanced Tilt sensor Based on Femtosecond Fiber Bragg Grating

Sensitivity-Enhanced Tilt Sensor Based on Femtosecond Fiber ...

引用

2023 International conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Nutsuglo, Theophilus Guo, Chuanchen Li, Qiang xiong, Li Guo, Yongxing Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan China Tiezheng Testing Technology Company Limited Jinan China Wuhan University of Science and Technology Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan China

ISBN: (纸本)9798350318012

Tilt sensors are crucial in intelligent monitoring, enabling precise measurements and analysis of tilt angles. They have found extensive use in different industries, particularly in robotic systems and structural safety, as they serve as instrumental components within artificial intelligence (AI)based frameworks to facilitate real-time adjustments and operational efficiency. However, conventional tilt sensors may not be as accurate due to performance issues, such as electromagnetic interference (EMI) or temperature changes. This paper proposes a tilt sensor utilizing fiber Bragg grating (FBG) technology to overcome these drawbacks. This paper introduces a fiber Bragg grating tilt sensor with an enhancedsensitivity. When the sensor experiences a tilt angle (θ), the mass block induces a gravitational force and bending moment on the cantilever beam, leading to strain. The two FBGs detect the induced strain, hence causing a wavelength shift. The two FBGs are positioned a distance away from the neutral axis in a cantilever-based design to increase the sensitivity of the sensor. The results of the experiments show the sensor's linearity of 99.94% and sensitivity of 107.46 pm/° over a tilting angle range of -30° to 30°. Additionally, femtosecond FBGs exhibit hightemperature stability and ultrafast response, making them ideal for real-time monitoring applications. The proposed FBG tilt sensor is a femtosecond-inscribed FBG that leverages the capability to withstand high-temperature settings. © 2023 IEEE.

关键词： Fiber Bragg gratings

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The Green Revolution from Space: A Survey of Satellite-Based Agricultural Monitoring systems 17

The Green Revolution from Space: A Survey of Satellite-Based...

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17th IEEE International conference on advanced Networks and Telecommunications systems, ANTS 2023

作者： Ghosh, Debjani Swarnkar, Jatin Gupta, Gunesh Rawat, Priyanka Bennett University School of Computer Science Engineering and Technology Greater Noida India

ISBN: (纸本)9798350307672

The utilization of satellite technology has brought forth a new era of possibilities in the field of agriculture, facilitating data-driven decisions that cater to the global need for improved agricultural productivity. This research paper extensively examines the crucial role played by satellite imagery in revolutionizing agricultural practices. We delve into the technical foundations of satellite sensors, which include optical, thermal infrared, radar, hyperspectral, and lidar sensors, establishing a comprehensive understanding of the diverse data sources. Moving into the realm of satellite image processing, we provide explanations of radiometric calibration, geometric correction, atmospheric correction, noise reduction, and image enhancement techniques, ensuring the accuracy and reliability of the data. Additionally, we shed light on the multifaceted applications of satellite imagery in agriculture, encompassing crop health monitoring, precision agriculture, crop growth monitoring, irrigation management, soil mapping, and pest management. While acknowledging the challenges and limitations, we address the technical complexities, economic considerations, social implications, and environmental impacts crucial for developing sustainable satellite-based agricultural solutions. Finally, we explore the promising trends and research directions, ranging from advanced sensor technologies to climate-resilient strategies, with the aim of advancing efficient and sustainable agricultural systems. This paper offers a comprehensive understanding of the mutually beneficial relationship between satellite technology and agriculture, contributing to the creation of resilient and sustainable agricultural systems for the future. © 2023 IEEE.

关键词： Image enhancement

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A Compact Microwave Rectifier for Wireless Power Transfer and Energy Harvesting applications 18

A Compact Microwave Rectifier for Wireless Power Transfer an...

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18th European conference on Antennas and Propagation (EuCAP)

作者： Moloudain, Gholamhosein Kumar, Sanjeev O'Flynn, Brendan Buckley, John L. Univ Coll Cork Tyndall Natl Inst Cork T12R5CP Ireland

ISBN: (纸本)9788831299091;9798350394436

This paper presents a microwave rectifier with compact size and high efficiency for radio frequency (RF) energy harvesting and low-power internet of things (IoT) applications. The proposed rectifier consists of a matching network, a doubler rectifier, a lowpass (LPF) structure and a low-power electronic circuit. An LPF structure is employed to pass a direct current (DC) rectified signal and to control harmonics which increases the output voltage (VOUT-DC) as well as power conversion efficiency (PCE). The proposed rectifier is designed to operate at f = 1.8 GHz which shows a maximum PCE of 62% for an RF input power (P-IN) level of 8 dBm and optimum load (R-L) of 820 Omega. A DC-DC boost converter and an energy storage capacitor (C-OUT = 370 mu F) are employed to deliver sufficient DC voltage to power a low-power electronic circuit. The proposed rectifier is demonstrated to be capable of powering a low-power circuit at varying P-IN levels. The developed rectifier can be used in RF energy harvesting and wireless power transmission systems to power sensor nodes and IoT devices.

关键词： Energy Harvesting Lowpass (LPF) harmonic structures Radio Frequency (RF) Rectifier

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Energy-Efficient Computing Offloading Policy for MEC-assisted Power sensor Network: A D3QN Approach

Energy-Efficient Computing Offloading Policy for MEC-assiste...

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2023 International conference on Cyber-Physical Social Intelligence, ICCSI 2023

作者： Guan, Ti Yao, Yushun Yuan, Chao Liu, Fuhao Liu, Yirong Gu, Rentao State Grid Shandong Electric Power Company Jinan China Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing China State Grid Laiwu Electric Power Supply Company Jinan China State Grid Binzhou Electric Power Supply Company Binzhou China

ISBN: (纸本)9798350312492

With the deep and close integration of massive renewable and controllable terminals into the next generation smart power grid, the amount of data and various applications with different quality requirements will increase greatly, which will be tough challenges for the power sensor network to provide real-time data collecting and processing, global monitoring, and quick response, etc. Meanwhile, due to the limitation in energy supplement and computing capacity, it is a second issue for the sensor network how to work in an energy-efficient way. In this paper, our work sets out to study a reinforcement learning (RL) based computing offloading policy in the mobile edge computing (MEC) assisted power sensor network. By jointly optimizing task scheduling and resource allocation, we propose a new scheme to optimize data latency and energy efficiency. The optimization problem is modeled as a Markov decision process (MDP), and Dueling Double Deep Q Network (D3QN) algorithm is employed to solve this MDP problem. Simulation results demonstrate the effectiveness of the proposed algorithm and its outperformance in reduction of data latency and energy consumption as well as convergence and stability, compared with other benchmarks. © 2023 IEEE.

关键词： Markov processes

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Shack-Hartmann wavefront reconstruction speed up with embedded GPU 13

Shack-Hartmann wavefront reconstruction speed up with embedd...

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13th International conference on Information Optics and Photonics, CIOP 2022

作者： Fan, Yao Duan, Yaxuan Kou, Jingwei Zhang, Weigang Liu, Qing Da, Zhengshang Advanced Optical Instrument Laboratory Xi'an Institute of Optics and Fine Mechanics Chinese Academy of Sciences Xi’an710119 China Xi'an Key Laboratory of High Power Laser Measurement Technology and Instrument Xi’an710119 China

ISBN: (纸本)9781510660632

Shack-Hartmann sensor is widely used in adaptive optics systems, and laser beam quality measurements. The traditional method separates measures and calculations, and the wavefront reconstruction algorithm is slow to implement on the host computer. In this paper, the embedded GPU is introduced to Shack-Hartmann sensors' wavefront phase reconstruction. A parallel calculation method is proposed to speed up the wavefront phase reconstruction process. The experiment result shows the algorithm speed improves 50×with the image size of 2592×2048 pixels. © 2022 SPIE.

关键词： Graphics processing unit

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A Sensitivity-enhanced All-fiber Fabry-Perot High-pressure sensor with a Hard-core Diaphragm 11

A Sensitivity-enhanced All-fiber Fabry-Perot High-pressure S...

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conference on advanced sensor systems and applications xi

作者： He, xiu Ran, Zengling Wang, Nan Ding, Zhaoyang Gan, Lupeng Yu, Mengke He, Zhengxi Sun, Dong Rao, Yunjiang Zhang, Yachao Ye, Dongsheng Univ Elect Sci & Technol China Minist Educ Fiber Opt Res Ctr Key Lab Opt Fiber Sensing & Commun Chengdu 611731 Sichuan Peoples R China Shaanxi Binchang Dafosi Min Co Ltd Xian Shanxi Peoples R China Shanxi Coal Chenghe Min Co Ltd Xian Shanxi Peoples R China

ISBN: (数字)9781510646520

ISBN: (纸本)9781510646520;9781510646513

A novel sensitivity-enhanced all-fiber Fabry-Perot high-pressure sensor consisting of a long gauge-length and a hard-core diaphragm is proposed and demonstrated. The hard-core diaphragm can effectively improve the pressure sensitivity of the sensor and eliminate the additional reflection of its outer surface. Theoretical and experimental results show that the pressure sensitivity of the sensor is increased to about 2 times when its diaphragm thickness is decreased from 5 mm to 11 mu m. In addition, the pressure and temperature sensitivity of -342.6 pm/MPa and -2.8 pm/degrees C are achieved, respectively, in the pressure range of 0 similar to 20 MPa and temperature range of 13.6 similar to 300 degrees C. The proposed sensor could offer some excellent features such as good high-temperature stability, low-temperature pressure cross-sensitivity, low mechanical hysteresis, making it attractive for pressure measurement under harsh environments.

关键词： fiber-optic Fabry-Perot sensitivity-enhanced high pressure diaphragm

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A Web Attack Detection Method Based on DistilBERT and Feature Fusion for Power Micro-Application Server 2

A Web Attack Detection Method Based on DistilBERT and Featur...

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2nd International conference on advanced Electronics, Electrical and Green Energy, AEEGE 2023

作者： Nige, Li Lu, Chen Lei, Zhao Zhenning, Teng Zhiqiang, Wang Yiyang, Shao xiaolin, Gui State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd. Nanjing China Xi'an Jiaotong University Faculty of Electronic and Information Engineering Shaanxi Province Key Laboratory of Computer Network Xi'an China

ISBN: (纸本)9798350322866

The widespread use of power micro-applications has significantly expanded the attack surface of their server side, thus increasing the risk of vulnerability attacks such as SQL injection, XSS, and CRLF injection. To ensure the security of power systems, these attacks must be detected precisely and timely. Therefore, this paper proposes a server-side web attack detection method based on DistilBERT and feature fusion for HTTP and HTTPS requests. The method treats HTTP and HTTPS requests as text data, specifically, extracts deep semantic features using DistilBERT, and fuses them with well-designed empirical features to comprehensively characterize and classify the request. Consequently, anomalous requests can be detected. The experimental results show that the accuracy, precision, recall, and F1 score of the method on HTTP CSIC 2010 and FWAF datasets are close to or higher than 99%. Compared with other methods as far as we known, this method has better performance and efficiency. © 2023 IEEE.

关键词： Cybersecurity

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An IoT-Based Early Warning System for Settlement Monitoring Using Differential Pressure Static Level

An IoT-Based Early Warning System for Settlement Monitoring ...

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International conference on advanced Communication Technology (ICACT)

作者： Tieyan Chao Hui Liang Yuwei Ge Kai Hou xiang Dong Ting Peng Shaanxi Huashan Road and Bridge Group Co. LTD Xi'an Shaanxi Zhengcheng Road and Bridge Engineering Research Institute Co. LTD Xi'an Sichuan Chuanjiao Road and Bridge Co. LTD Sichuan Chang'an University Xi'an

This paper presents an IoT-based automated settlement monitoring system that aims to meet the diverse requirements of applications and the increasing demand for settlement monitoring. The system consists of a perception subsystem, data transmission layer, IoT cloud platform, and application terminal. The differential pressure static level sensor transmits the sensor serial port raw data to the 4G DTU through the RS-485 bus interface. Then, the 4G DTU converts it into a 4G network and transmits the data to the IoT cloud platform via the MQTT protocol. The IoT cloud platform analyzes and processes the collected data to generate reports, visualize data to generate curves, and perform real-time anomaly identification on the data. Finally, it implements viewing of settlement monitoring data and curve changes, as well as monitoring status warnings at the application terminal. The practical engineering application results show that this system can provide effective safety monitoring and an early warning scheme for slope, tunnel, bridge, and building safety monitoring.

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