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Prevention and control of debris flow in the small watershed based on ecological landscape remediation: A case study of the Tianchi Lake Nature Reserve in Xinjiang, China

Prevention and control of debris flow in the small watershed...

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2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011

作者： He, Jie Liang, Yuanting Kan, Aike Chen, Ningsheng College of Earth Science Chengdu University of Technology Chengdu China Key Lab. of Geo-detection and Information Techniques of Ministry of Education Chengdu University of Technology Chengdu China Key Laboratory of Mountain Hazard and the Earth's Surface Processes Chinese Academy of Sciences Chengdu China

ISBN: (纸本)9781424494392

In China, there are massive scenic spots located in mountain areas where debris flow of small watershed, landslide, collapse ,and other disasters are well *** debris flow disaster does not only harm the quality of the downstream scenic landscape resources, but also threaten the visitors' life safety. This paper analyzed the features of debris flow disaster in the Tianchi Lake Nature Reserve in *** on the previous study of debris flow prevention and control pattern, and the concept of river ecological landscape remediation, this paper scientifically proposed the ecological landscape remediation countermeasures through comprehensively utilization of geological disaster ruined landscape resources, in order to protect natural ecological landscape in the scenic debris flow area. In the disaster area, the method of engineering protection is taken to control debris flow, and in the downstream area the integrated prevention and control pattern are taken, which is combining artificial landscape intervention with natural landscape coordination, in order to reach the aim of the remediation of debris flow disaster in scenic spot and an effective integration of scenic resources in the spots. © 2011 IEEE.

关键词： Lakes

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Numerical Simulation of Subsurface Penetrating Radar in Isidis Planitia on Mars for China's First Mission to Mars 9

Numerical Simulation of Subsurface Penetrating Radar in Isid...

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

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

The water ice exploration mission is an important scientific target of China's first Mission to Mars. The high frequency full polarimetric subsurface penetrating radar (SPR) system onboard the landing rover can carry out high-resolution imaging of the near-surface area of Mars, which is an important tool for detecting the presence of shallow water ice and soil structure. At present, most of the radar detection simulations are based on low-frequency antennas to analyze the geological structure of Mars down to several kilometers, with low resolution, which is difficult to detect the subsurface structure in the near-surface accurately. Considering topographic relief, interface roughness, subsurface rock, water ice, and permittivity changes at different layers, a three-dimensional near-surface model in the Isidis Planitia on Mars is established. The interpretation of the forward simulation results is of reference value for future Mars exploration missions. © Published under licence by IOP Publishing Ltd.

关键词： Rovers

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Calibration of Interface Induced Polarization for Full Polarimetric Ground Penetrating Radar 9

Calibration of Interface Induced Polarization for Full Polar...

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

作者： Dong, Zejun Feng, Xuan Liu, Cai Liang, Wenjing Zhou, Haoqiu College of Geo-Exploration Science and Technology Jilin University No.938 Xi MinZhu Street Changchun China Institute of National Development and Security Studies Jilin University No.2699 Qianjin Street Changchun China Science and Technology on Near-Surface Detection Laboratory Wuxi China No.938 Xi MinZhu Street Changchun China

The traditional ground penetrating radar (GPR) uses only one type of antenna for data acquisition, and only obtains single polarization data of targets. It can not fully describe the various properties of the target. Full polarimetric GPR is a new technology that uses four different polarization antennas to measure the target and can receive electromagnetic waves of different polarized directions to describe the polarization effect of targets. However, when the plane electromagnetic wave propagates through the ground surface, the polarized direction will rotate, namely interface induced polarization (IIP), which results in the complex interference embedded in the full polarimetric GPR data. In this research, firstly we discuss the generation of the IIP;subsequently how the IIP affect the full polarimetric GPR data is derived;finally the calibration formula is proposed and is applied to the GPR data processing. © Published under licence by IOP Publishing Ltd.

关键词： Ground penetrating radar systems

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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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UAV-Borne Landmine detection via Intelligent Multispectral Fusion

UAV-Borne Landmine Detection via Intelligent Multispectral F...

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International Conference on Applied Machine Learning (ICAML)

作者： Hangfu Guo Hejun Jiang Jun Hu Chaopeng Luo School of Electronics and Communication Engineering Sun Yat-Sen University Shenzhen China Science and Technology on Near-Surface Detection Laboratory Wuxi China

Compared with traditional landmine detection methods, the unmanned aerial vehicle borne measure is more suitable for rapidly detecting large-area minefields of scatterable landmines. We propose a multispectral fusion strategy based on a deep learning model to facilitate landmine detection. With a UAV-borne multispectral cruise platform, we set up a multispectral dataset of scatterable landmines, where varieties of minefields with different ground vegetation environments are considered. The proposed technique includes a structure with adjustable weights to fulfill the fusion and refinement, and maximize the utilization of multispectral information. Experimental comparisons of the predictions before and after fusion demonstrate that our proposed fusion strategy can improve the recall rate and achieve significant gains over single-spectrum detection, especially for the occluded mines, and confirm the feasibility of the multispectral data with reasonable processing for the landmine detection.

关键词： Deep learning Landmine detection Annotations Geology Vegetation mapping Detectors Autonomous aerial vehicles

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ICERS:Intelligent Collaborative Emergency Response System 23

ICERS:Intelligent Collaborative Emergency Response System

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23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2024

作者： Yang, Guoyin Zhang, Haotian Yao, Junfeng Cai, Chengyou Song, Jun Xu, Yuelin Deng, Bin School of Computer Engineer and Science Shanghai University Shanghai China The 32nd Research Institute of China Electronics Technology Group Corporation China CSSC Seago System Technology Co. Ltd. Shanghai200010 China Department of Geography Hong Kong Baptist University Hong Kong Science and Technology on Near-Surface Detection Laboratory Wuxi China

ISBN: (纸本)9781643685380

Advances in computer science and technology, coupled with the growing societal demand for enhanced safety, have paved the way for innovative smart home environments. While current smart home systems can send alarms and notify emergency contacts during a crisis, they do not provide timely and convenient on-site emergency assistance, potentially delaying critical aid and compromising user safety. This paper introduces the Intelligent Collaborative Emergency System (ICERS), which addresses this gap through three integrated subsystems: Fall detection, Vital Signs Monitoring, and Central Dispatch. The Fall detection module leverages camera video data to classify human positions and estimate potential falls. The Vital Signs Monitoring module employs millimeter-wave radar technology to provide non-contact, real-time health monitoring. The Central Dispatch system receives alert signals from on-edge devices and relays them to medical facilities and volunteer organizations for a coordinated emergency response. By utilizing multimodal data for collaborative efforts, the ICERS ensures that individuals receive timely notifications and coordinated emergency assistance during unforeseen situations. © 2024 IOS Press. All rights reserved.

关键词： Fall detection

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High resolution torsion balance angle deviation measurement based on phase sensitive CP-SDOCT 11

High resolution torsion balance angle deviation measurement ...

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Optical Metrology and Inspection for Industrial Applications XI 2024

作者： Dong, Mingming Yan, Zheng Huang, Yong Hao, Qun School of Optics and Photonics Beijing Institute of Technology No. 5 South Zhongguancun Street Haidian Beijing100081 China National Key Laboratory on Near Surface Detection Beijing Institute of Technology No. 5 South Zhongguancun Street Haidian Beijing100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Zhejiang Jiaxing314003 China

ISBN: (纸本)9781510682108

Torsion balance system as a high precision important ultra-small force measurement tool usually requires ultra-high-resolution deviation measurement of the torsion angle. Currently, autocollimators are used for the torsion angle deviation measurement. Optical coherence tomography (OCT) is a high-resolution three-dimensional imaging technology, which has the characteristics of real-time imaging of samples with micron or sub-micron resolution at millimeter depth, and is widely used in biomedical research and industrial detection fields. In this work, utilizing the single-mode fiber based common-path OCT system architecture, we design and fabricate a compact probe that consists of four displacement sensing fibers connected to one home-built SD-OCT system with a central wavelength of 840 nm. Each fiber senses the distance between the fiber tip and torsion balance integrated reflection mirror. The distance peaks from each fiber are designed to be distributed along system one A-scan depth which enables simultaneous measurement. With the phase sensitive reconstruction algorithm, tens of pm distance sensing resolution can be achieved. Analyzing the displacement values from four distributed spatial points, the torsion principle surface can be reconstructed for post experiment analysis. We believe our proposed work will be valuable for distributed ultra-high resolution compact and stable displacement sensing. © 2024 SPIE.

关键词： Single mode fibers

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3D non-stationary geometry-based stochastic model for unmanned aerial vehicle air-to-ground multi-input multi-output channels

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Journal of Southeast University(English Edition) 2022年第4期38卷 323-331页

作者： Yan Feng Zhou Tianxiang Li Hao Pang Jingming Ding Kai Xia Weiwei Shen Lianfeng National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035China Jiangsu Zhongli Electronic Information Sci-Tech Co. Ltd.Changshu 215542China

A three-dimensional non-stationary geometry-based stochastic model for unmanned aerial vehicle(UAV)air-to-ground multi-input multi-output(MIMO)channels is *** scatterers surrounding the UAV and ground station are assumed to be distributed on the surface of two cylinders in the proposed *** impact of UAV rotations and accelerated motion is considered to describe channel *** computational methods of the corresponding time-variant parameters,such as UAV antenna array angles,time delays,and maximum Doppler frequencies,are theoretically *** model is then used to derive channel statistical properties such as space-time correlation functions and Doppler power spectral ***,numerical simulations are run to validate the channel s statistical *** simulation results show that increasing the UAV and ground station accelerations can reduce the time correlation function and increase channel non-stationarity in the time ***,the UAV s rotation significantly influences the spatial correlation function,with rolling having a greater influence than ***,the different directions of UAV movement significantly impact the Doppler power spectral density.

关键词： unmanned aerial vehicles(UAVs) geometry-based stochastic model(GBSM) air-to-ground channels

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Aerial Tracking of Camouflaged People in Woodlands Via Unsupervised Learning

SSRN

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SSRN 2023年

作者： Liu, Yang Wang, Congqing Xu, Bin Zhou, Yongjun College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Science and Technology on Near-Surface Detection Laboratory Wuxi214000 China

With the widespread use of unmanned aerial vehicles (UAVs) and computer vision, much attention has been devoted to aerial tracking. Previous tracking methods were mostly implemented in clean and well-lit environments, making it challenging to track camouflaged people rapidly and accurately in woodlands. In this work, we develop a novel unsupervised learning framework for camouflaged people aerial tracking (named UCAT) based on transformer. Specifically, a camouflaged people discovery strategy is proposed to rapidly generate training samples from the unlabeled videos captured by the UAV. Dynamic programming is also employed to filter noises to generate smooth candidate frames. To make full use of multi-level feature information, a transformer fusion framework is designed to integrate shallow spatial information and in-depth semantic features. For reducing computing consumption, the spatial attention reduction mechanism is embedded to the multi-head attention for fast tracking. Further, we build a dataset for evaluating the effect of camouflaged people tracking called Cam235, which consists of 85 manually labeled test sequences and over 100k frames of the unlabeled training set. Comprehensive experiments on Cam235-test and popular tracking benchmarks show that the UCAT learned from unlabeled videos performs well in camouflaged people tracking, demonstrating the practical value of the tracker. © 2023, The Authors. All rights reserved.

关键词： Unsupervised learning

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