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Link quality and energy-efficient cross-layer routing protocol for low power wireless sensor network

Journal of Computational Information Systems 2015年第15期11卷 5639-5646页

作者： Wang, Xi Chen, Jiapin Zhao, Shuai Li, Zhenbo Hu, Shouwei Key Laboratory of Thin Film and Microfabrication of Ministry of Education School of Electronics Information and Electrical Engineering Shanghai Jiaotong University Shanghai China Science and Technology on Near Surface Detection Laboratory College of Computer Science Wuxi China

Wireless sensor network is usually used in external environment, which is not artificially controlled, using battery as its power supply. Therefore, how to reduce power consumption via legitimate routing protocol and improve the lifetime of the network, are being widely studied in recent years. In this paper, we propose a cross-layer routing protocol that considered link quality and energy-efficiency simultaneously during the routing establishment phase. Then during the routing maintenance phase, the protocol utilizes link quality and the remaining energy of nodes to predict the routing interruption and perform local repair. The protocol is simulated on IEEE 802.15.4 Matlab Simulator. The result shows that our protocol effectively improves lifetime and the data delivery ratio of the network, and also the performance and stability of AODV. Copyright © 2015 Binary Information Press.

关键词： Routing protocols

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PCA applied to Data Fusion for Subsurface Target Imaging of Full-polarimetric GPR 9

PCA applied to Data Fusion for Subsurface Target Imaging of ...

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9th International Conference on Environmental and Engineering Geophysics, ICEEG 2020

作者： Xue, Cewen Feng, Xuan Zhou, Haoqiu Li, Xiaotian Liang, Wenjing Wang, Ying College of Geo-Exploration Science and Technology Jilin University No.938 Xi MinZhu Street Changchun130026 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China Institute of National Development and Security Studies Jilin University No.2699 Qianjin Street Changchun130012 China No.938 Xi MinZhu Street Changchun130026 China

Full-polarimetric ground penetrating radar (GPR) can obtain more comprehensive polarization data (called VV, HH, VH) for the same target than traditional commercial radar (only VV). We need to use data fusion technology to combine the polarization information of the three different polarization modes. However, the full-polarimetric GPR data fusion method has one weighted average fusion, which will mask the advantages of full polarization. Principal component analysis (PCA) is a technology of data dimensionality reduction and compression which can use VV, HH and VH as a three-dimensional data to conduct data dimensionality reduction and find the best data fusion results. In order to check the reliability, we obtained the full-polarimetric GPR data of three typical targets in the laboratory for analysis. Then we compare PCA with the weighted average fusion method by using the instantaneous amplitude and conclude that PCA can fuse full-polarimetric GPR data better than weighted average fusion. © Published under licence by IOP Publishing Ltd.

关键词： Principal component analysis

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Optimal Design of End Suspension Electromagnet for Medium Speed Maglev Train

Optimal Design of End Suspension Electromagnet for Medium Sp...

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Chinese Control Conference (CCC)

作者： Peichang Yu Shelin Chen Ming Gao Qing Yang Lianchun Wang Jinhui Li College of Intelligence Science and Technology National University of Defense Technology Changsha China CRRC Tangshan Co. Ltd Tangshan China Science and Technology on Near-surface Detection Laboratory Wuxi China

ISBN: (数字)9789881563903

ISBN: (纸本)9781728165233

In order to solve the discernment of bearing capacity and system controllable of end-suspension electromagnet caused by eddy current effect of the medium-speed maglev train, the optimal design of the end-electromagnet is carried out. First of all, the suspension force of the electromagnet is analyzed based on basic electromagnetic theory. The theoretical equation of electromagnetic force considering the eddy current effect is established, and the characteristics of the eddy current effect in the speed range of 0 to 200 km/h are analysed. Then, this article discussed the optimal design of the end electromagnet for medium-speed maglev train. On the one hand, from the perspective of the existing electromagnet, the relationship between the loss of magnetic flux density and speed, length of the electromagnet was studied to clarify the feasibility of the optimal scheme. On the other hand, from the perspective of the dynamics of the suspension module, an optimization scheme for load capacity of the suspension module is proposed by considering the effects of magnetic saturation. At last, the dynamical and electric model of the optimal end electromagnet were established, and the controllability analysis was performed. The research and simulation show that the optimal design of the end electromagnet combined with the adjustment of the bearing force from the vehicle can meet the requirements of the medium speed maglev train operating in the whole range speed of 0-200km/h.

关键词： Electromagnets Suspensions Magnetic levitation Magnetic flux Force Coils

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Intelligent Traffic Monitoring with Distributed Acoustic Sensing

arXiv

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arXiv 2024年

作者： Xie, Dongzi Wu, Xinming Guo, Zhixiang Hong, Heting Wang, Baoshan Rong, Yingjiao School of Earth and Space Sciences University of Science and Technology of China Hefei China Mengcheng National Geophysical Observatory Mengcheng China Science and Technology Near-Surface Detection Laboratory Wuxi China

Distributed Acoustic Sensing (DAS) is promising for traffic monitoring, but its extensive data and sensitivity to vibrations, causing noise, pose computational challenges. To address this, we propose a two-step deep-learning workflow with high efficiency and noise immunity for DAS-based traffic monitoring, focusing on instance vehicle trajectory segmentation and velocity estimation. Our approach begins by generating a diverse synthetic DAS dataset with labeled vehicle signals, tackling the issue of missing training labels in this field. This dataset is used to train a Convolutional Neural Network (CNN) to detect linear vehicle trajectories from the noisy DAS data in the time-space domain. However, due to significant noise, these trajectories are often fragmented and incomplete. To enhance accuracy, we introduce a second step involving the Hough transform. This converts detected linear features into point-like energy clusters in the Hough domain. Another CNN is then employed to focus on these energies, identifying the most significant points. The inverse Hough transform is applied to these points to reconstruct complete, distinct, and noise-free linear vehicle trajectories in the time-space domain. The Hough transform plays a crucial role by enforcing a local linearity constraint on the trajectories, enhancing continuity and noise immunity, and facilitating the separation of individual trajectories and estimation of vehicle velocities (indicated by trajectory slopes in the Hough domain). Our method has shown effectiveness in real-world datasets, proving its value in real-time processing of DAS data and applicability in similar traffic monitoring scenarios. All related codes and data are available at https://***/TTMuTian/itm/. Copyright © 2024, The Authors. All rights reserved.

关键词： Trajectories

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Speckle suppression of SAR image using boundary and contextual constraint

Speckle suppression of SAR image using boundary and contextu...

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IET International Radar Conference (IET IRC 2020)

作者： W. Yuming L. Chaopeng J. Tian Z. Yansong College of Information Science and Engineering Hunan Normal University Changsha China Science and Technology on Near-Surface Detection Laboratory Wuxi China College of Electronic Science and Technology National University of Defense Technology Changsha China

Speckle suppression is a important preprocessing step for synthetic aperture radar (SAR). In this paper, a speckle suppression algorithm based boundary and contextual constraint is studied for enhancing image, which includes the establishment of speckle model based on boundary constraint, the analysis of speckle factor weighted constraint model based on contextual regularization, and the process of speckle factor estimation. The performance of this algorithm is validated by using the data acquired over an airship mounted SAR system.

关键词： airships speckle synthetic aperture radar radar imaging

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A full-polarimetric GPR system and its application in ice crack detection 9

A full-polarimetric GPR system and its application in ice cr...

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9th International Conference on Environmental and Engineering Geophysics, ICEEG 2020

作者： Li, Xiaotian Feng, Xuan Liang, Wenjing Xue, Cewen Zhou, Haoqiu Wang, Ying College of Geo-Exploration Science and Technology Jilin University No.938 Xi Min Zhu Street Changchun130026 China Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China Institute of National Development and Security Studies Jilin University No.2699 Qianjin Street Changchun130012 China No.938 Xi Min Zhu Street Changchun130026 China

The warming season of Antarctica, where sea ice melts and breaks, is often the golden time for Antarctic research. But this season is also a high frequency season for the formation of ice crack, the existence of which poses a serious threat to Antarctic scientific research. Therefore, it is of important significance to monitor the trend, location, and depth of Antarctic sea ice crack in real time. Ice crack detection often uses ground penetrating radar (GPR) technology. Compared with the single-polarimetric GPR, full-polarimetric GPR can obtain more comprehensive polarization information. Therefore, a full-polarimetric GPR system based on the horn antenna is built in this paper to obtain more abundant ice crack information. Then we apply it to detect a small-scale ice crack atop frozen lakes. The analysis of the experiments and data fusion processing results can verify the effectiveness of the system for the detection of ice crack and lay the foundation for subsequent actual detection. © Published under licence by IOP Publishing Ltd.

关键词： Ground penetrating radar systems

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Electromagnetic radiation analysis and synthesize of UAV target with the theory of characteristic modes

Electromagnetic radiation analysis and synthesize of UAV tar...

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IET International Radar Conference (IET IRC 2020)

作者： Y. Chen Y. Wang Q. Tang H. Zhou Science and Technology on Near-Surface Detection Laboratory China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China Shanghai Spaceflight Electronic and Communication Equipment Research Institute China

The theory of Characteristic Modes can better express the physical concept of radiator. In this paper, a fast method for synthesizing the radiation pattern of an unmanned aerial vehicle (UAV) platform is presented based on the characteristic mode theory. We can synthesize specific radiation patterns of the target to reduce or increase radiation energy in specific directions.

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Effect of Ni content on the crystallization, soft magnetic properties and GMI effect in amorphous Co68Fe7−xNixSi15B10 (x = 0, 1.5, 3, 4.5) ribbons

Effect of Ni content on the crystallization, soft magnetic p...

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International Conference on Magnetics (INTERMAG)

作者： W. Lu Y. Xu X. Fang Y. Song X. Li School of Materials Science and Engineering Tongji University Shanghai National Key Laboratory of Science Technology on Near-surface Detection and Sensing Technology Wuxi Tongji University Shanghai Shanghai CN University of Shanghai for Science and Technology Shanghai

Soft ferromagnetic amorphous ribbons are widely used for a wide range of applications, including high-frequency transformers and magnetic sensors . The recent discovery of a so-called giant magnetoimpedance (GMI) effect in these alloys has made them very attractive candidates for making highly sensitive magnetic sensors. GMI effects have been reported in Co-based amorphous ribbons owing to the high transverse permeability, due to the presence of a transversely oriented domain configuration. Like Co-based amorphous wires, ribbons with CoFeSiB composition and nearly zero but negative magnetostriction, were found to show the largest GMI ratio among Co-based ribbons. The GMI ratio reached a value as high as 160% at a frequency of 1 MHz in the (Co 1-x Fe x ) 70 Si 12 B 18 (x = 0 .057) amorphous ribbon with nearly zero magnetostriction . The research on GMI effect sensors is now focused on the material composition and structure of sensitive components. In this presentation, we attempt to improve the GMI ratio of amorphous Co 68 Fe 7 Si 15 B 10 alloy ribbons by introducing Ni element .

关键词： Nickel Magnetic properties Crystallization Doping Amorphous magnetic materials Magnetic multilayers

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VAST challenge 2015: Grand challenge - Team VADER/VIS Award for Outstanding Comprehensive Submission

VAST challenge 2015: Grand challenge - Team VADER/VIS Award ...

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IEEE Symposium on Visual Analytics science and technology (VAST)

作者： Michael Steptoe Robert Krueger Yifan Zhang Xing Liang Rolando Garcia Sagarika Kadambi Wei Luo Thomas Ertl Ross Maciejewski State Key Laboratory of Millimeter Waves Southeast University Nanjing China School of Electronic Science and Engineering University of Posts and Telecommunications Nanjing China Science and Technology on Near-Surface Detection Laboratory Wuxi China

The VAST 2015 Grand Challenge focused on a fictional park called DinoFunWorld where visitors are provided with a handheld device for communicating with park patrons and registering their visits to rides. Our goal was to develop a visual analytics system to help explore the spatiotemporal movement and communication data of the park patrons. Specifically, we wanted was to determine which patrons were involved in a theft that occurred at a park pavilion. In order to facilitate this data exploration, we have created a web-deployable system that combines data wrangling, trajectory analysis, network analysis, and interactive visualizations for discovering movement and communication patterns of users and their networks. We earned the Award for Outstanding Comprehensive Submission.

关键词： Trajectory Spatiotemporal phenomena Data visualization Visual analytics Histograms Handheld computers

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A compact FMCW SAR real-time imaging system and its performance analysis

A compact FMCW SAR real-time imaging system and its performa...

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IET International Radar Conference 2015

作者： Chengfei Gu Wenge Chang Xiangyang Li Gaowei Jia Zhaohe Liu College of Electronic Science and Engineering National University of Defense Technology Changsha R.P. China 410073 Science and Technology on Near-surface Detection Laboratory Wuxi R.P. China 214000

This paper presents a compact Ku-band Frequency Modulated Continuous Wave Synthetic Aperture Radar (FMCW SAR) with the capability of real-time imaging. In this compact radar, an eight-core Digital Signal Processor (DSP) is used as the signal processing kernel. With the application of the high-performance processor, the efficiency is significantly improved. During the real-time imaging, the imaging algorithm is modularized, and each processing module of the imaging algorithm is efficiently realized in parallel. To demonstrate the high performance of the parallel processing, the ratio of speedup is analyzed specifically. Beneficial results have been achieved after times of airborne tests.

关键词： Frequency modulated continuous wave digital signal processor multi-core real-time imaging synthetic aperture radar frequency modulated continuous wave Synthetic aperture radar real image Digital signal processors Compact Compact Pattern Rescue Specific absorption rate SAFETY ANALYSIS REPORTS Speeding

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