检索结果-内蒙古大学图书馆

Data Driven control and Learning Systems (DDCLS)

作者： Yanchao Zhang Hao Geng Bin Liu Yinlong Zhang Xudong Yuan Sichao Zhang School of Information Science and Engineering Shenyang University of Technology Shenyang China Guangzhou Institute of Industrial Intelligence Guangzhou China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In order to solve the problems of long-term cumulative error and the absence of absolute pose in the existing Lidar-Inertial Measurement Unit (IMU) fusion methods for Automated Guided Vehicle (AGV) Simultaneous Localization and Mapping (SLAM), we propose a new SLAM method for mobile robot, integrating Lidar, IMU, and a downward vision camera. Firstly, we tightly couple Lidar-IMU and downward vision camera using a multimodal fusion framework. Downward visual measurements are integrated as QR factors into the factor graph, providing absolute pose information to correct cumulative error in the Lidar-IMU system and enable the joint pose estimation of the AGV. Secondly, an enhanced Iterative Closest Point (ICP) point cloud matching algorithm has been developed to correct the incorrect pose. This approach achieves Scan-to-Map alignment by employing a coarse-to-fine matching strategy, thereby enhancing the accuracy of point cloud alignment. Finally, the extended Kalman filter is used to optimize the Lidar pose drift, as well as the Lidar mapping effectively by using the Lidar-IMU as the measurements and the downward visual measurements as the updates. The algorithm has been extensively evaluated on the developed AGV experimental platform. The experimental results show that the position error is less than 0.02 meters and the orientation error is less than 1°, which solves the problems of long-term error accumulation and the lack of absolute pose information for AGV navigation.

关键词： Point cloud compression Visualization Laser radar Simultaneous localization and mapping Conferences Robot vision systems Measurement uncertainty

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A Method for Reconstructing the Shape of Wing Panels Based on Fiber Optic Sensors and Tomographic Imaging Principles

A Method for Reconstructing the Shape of Wing Panels Based o...

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Jun Zhan Jie Zeng Chao Xiang Jinpeng Cui Cheng Zeng Linfeng Zhu Mingyu Lu State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing China Aviation key laboratory of science and technology on aero electromechanical system integration Nanjing engineering institute of aircraft system jincheng AVIC Nanjing China Changping District Xiaotangshan Future Science and Technology City COMAC Beijing Aircraft Technology Research Institute Beijing China

ISBN: (数字)9798350354010

ISBN: (纸本)9798350354027

The aircraft wing structure shape reconstruction method based on discrete strain information not only provides data support for the digital collaborative health monitoring and prediction technology of wing structure but also helps to improve the aerodynamic shape and flight quality of the aircraft, achieve structural stealth, and enhance the pointing accuracy of the on-board conformal antenna. As result, a wing skin panel shape reconstruction method based on the principle of tomographic imaging and strain information perception is proposed. According to the idea of tomographic imaging, a “non-intrusive” layout form that only requires sensors to be arranged on the periphery of the monitoring area is designed, breaking through the limitation that sensors can not be arranged in the monitoring area under special working conditions. A method for constructing the deflection shape function of the wing skin panel based on the concept of synthetic curvature is proposed, solving the problem of error accumulation and elimination of deformation inversion at non-monitoring points of the measured structure caused by the uncertainty of the limited discrete layout of sensors and the choice of interpolation fitting method. On this basis, a model deformation monitoring and inversion system for wing skin panel based on fiber optic grating sensors is constructed. The experimental results show that under the single-end fixed bending and torsion working condition, the average relative error of the panel model shape reconstruction is 4.17%. Under the double-end fixed double-concentrated load working condition, the average relative error of the shape reconstruction is 8.07%. The wing deformation distribution information reconstructed by the method proposed in this paper can be mapped onto the virtual twin model of the wing, providing technical support for the safety assessment, early warning, and on-condition maintenance of the entire service life of key structures of the aircraft.

关键词： Employee welfare Shape Deformation Layout Imaging Sensors Aircraft Monitoring Image reconstruction Strain

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The Shadow of Fraud: The Emerging Danger of AI-powered Social engineering and its Possible Cure

arXiv

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arXiv 2024年

作者： Yu, Jingru Yu, Yi Wang, Xuhong Lin, Yilun Yang, Manzhi Qiao, Yu Wang, Fei-Yue Shanghai Artificial Intelligence Laboratory Shanghai200240 China The Macau Institute of Systems Engineering Macau University of Science and Technology China Eversec Technology Company Ltd. Beijing100080 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China

Social engineering (SE) attacks remain a significant threat to both individuals and organizations. The advancement of Artificial Intelligence (AI), including diffusion models and large language models (LLMs), has potentially intensified these threats by enabling more personalized and convincing attacks. This survey paper categorizes SE attack mechanisms, analyzes their evolution, and explores methods for measuring these threats. It highlights the challenges in raising awareness about the risks of AI-enhanced SE attacks and offers insights into developing proactive and adaptable defense strategies. Additionally, we introduce a categorization of the evolving nature of AI-powered social engineering attacks into"3E phases": Enlarging, wherein the magnitude of attacks expands through the leverage of digital media;Enriching, introducing novel attack vectors and techniques;and Emerging, signifying the advent of novel threats and methods. Moreover, we emphasize the necessity for a robust framework to assess the risk of AI-powered SE attacks. By identifying and addressing gaps in existing research, we aim to guide future studies and encourage the development of more effective defenses against the growing threat of AI-powered social engineering. Copyright © 2024, The Authors. All rights reserved.

关键词： Artificial intelligence

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Forecasting Chaotic Behavior of the Drill Bit in Real-Time Using a Dnn Model Integrated with Rock Surface Morphology

SSRN

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SSRN 2024年

作者： Deng, Pengfei Tan, Xing Bai, Yan Li, He School of Mechanical Engineering and Automation Northeastern University Shenyang110819 China State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China Department of Mechanical and Aerospace Engineering Politecnico di Torino Corso Duca degli Abruzzi 24 Torino10129 Italy

The complex interaction between the drill bit and the rock renders the deep drilling system highly chaotic, making it difficult for mainstream time-series forecasting models and drilling dynamics models to accurately forecast the operational status of the drilling system in real time. In this paper, an SM-TCN-GRU-Attention (SMTGA) model that integrates the rock surface morphology (SM) model is proposed for real-time forecasting of the operating status of the drill bit in the deep drilling system. The proposed model can accurately forecast the operating status of the drill bit when drilling non-uniform rocks in real time. In this model, the TCN layer is used to extract the relationships and short-term features between the drill bit's status and the top drive system's status. The GRU layer is employed to capture the long-term features of the drilling system's operational status, while the Attention layer analyzes and adjusts the connections between various features. The SM model is used to permanently record the status of the rock and the regeneration effect, forecasting the bit-rock interaction. The SMTGA model was compared with the TGA model, the GRU model, the Transformer model, and other mainstream DNN models. The results indicate that the forecast accuracy, convergence speed, stability, and generalization ability of the SMTGA model are much higher than other models. In addition, the influence of hyperparameters on the forecast accuracy of the SMTGA model has also been studied. These results play an important role in forecasting and preventing adverse vibrations such as stick slip, impact, reversal, and rebound of the drill bit. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Optimization of the Culture of a Promising Rhodococcus Sp. Fy-5 Producing Flavonoids and its Adaptive Biosynthesis Under Ca2+ Stress

SSRN

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SSRN 2024年

作者： Zhou, Mo Zhang, Dong Xiang, Wenxin Wang, Fanfan Liang, Junbo Wan, Huiping Ye, Shuhong School of Food Science and Technology Dalian Polytechnic University Dalian China State Key Laboratory of Marine Food Processing and Safety Control Dalian China School of Light Industry & Chemical Engineering Dalian Polytechnic University Dalian China School of Food and Chemical Engineering Liuzhou Institute of Technology Liuzhou China

Ginkgo biloba leaf flavonoids (GBLF) have extensive applications due to their unique physicochemical properties. Considering the constraints on natural Ginkgo resources, the use of endophytes for flavonoid biosynthesis provides a promising alternative. This research isolated and identified 10 endophytic strains from fresh, healthy Ginkgo biloba leaves. Among them, Rhodococcus sp. FY-5, with the highest flavonoid production (ERF), was confirmed through morphological, physiological, biochemical analyses, and 16S rRNA sequencing. Thin-layer chromatography (TLC) and high-performance liquid chromatography (HPLC) analyses revealed that ERF likely contains rutin, along with several compounds resembling those found in flavonoid extracts from Ginkgo biloba leaves. The cultivation conditions for FY-5 were optimized using response surface methodology (RSM), and FY-5’s flavonoid yield reached 35.56 mg/L. Furthermore, subjecting Rhodococcus sp. FY-5 to Ca2+ stress at 200 ppm led to reduced biomass with significant cell shrinkage, while flavonoid production peaked at 57.13 mg/L. Rhodococcus sp. FY-5 demonstrated an adaptive response to Ca2+ stress by reallocating its metabolic resources, marked by cell contraction and enhanced flavonoid *** findings suggest that the metabolic products of Rhodococcus sp. FY-5 share compositional similarities with naturally occurring flavonoids in Ginkgo, further supporting its potential as a microbial source for flavonoid biosynthesis. Stress adaptation provides a promising avenue for leveraging stress-induced metabolite production in biotechnological applications. © 2024, The Authors. All rights reserved.

关键词： Thin layer chromatography

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Simple and Rapid Determination of 3-Monochloropropane-1,2-Diol in Food Contact Papers Based on Polydopamine-Polyethyleneimine Copolymerization

SSRN

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SSRN 2024年

作者： Fang, Min Wang, Zhaojie Fu, Qing Yang, Qing Xu, Lin Lu, Yuepeng Yang, Yong Jiang, Xiaoming Wu, Yongning Gong, Zhiyong Liu, Xin Key Laboratory of Edible Oil Quality and Safety for State Market Regulation Hubei Key Laboratory for Processing and Transformation of Agricultural Products College of Food Science and Engineering Wuhan Polytechnic University 68Xuefu South Road Changqing Garden Wuhan430023 China Wuhan Institute for Food and Cosmetic Control 1137 Jinshan Avenue Wuhan430012 China Beijing100022 China

The aim of this work was to develop a fluorescence method based on the polydopamine-polyethyleneimine (PDA-PEI) copolymerization, which was subsequently applied for the determination of 3-monochloropropane-1,2-diol (3-MCPD) in food contact papers (FCMs). PEI could provide an alkaline environment and then react with dopamine (DA) to produce copolymers by Michael addition and Schiff-base reactions. This copolymer has a strong fluorescence emission at 527 nm. We found that amino groups of DA and PEI could also react with 3-MCPD in an alkaline medium, which improved the morphology and fluorescence intensity of PDA-PEI copolymers. The fluorescence intensity of the polymers was linear but inversely proportional to the concentration of 3-MCPD in the range of 10.0-500.0 μg Kg-1 and the detection limit was 2 μg Kg-1. The standard addition method was used in FCMs to demonstrate the practical applicability and the spiked recoveries ranged from 99.8 to 110.3 %. Finally, the levels of 3-MCPD in different FCMs (n=70) were determined by the proposed method. The detection frequencies ranged from 25% to 100% and both the highest detection frequency and levels were observed in kitchen papers. More than half of the samples did not comply with the limits recommended by the German Federal Institute for Risk Assessment, suggesting that 3-MCPD released from FCMs is a major route of human exposure. © 2024, The Authors. All rights reserved.

关键词： Alkalinity

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Regulating Method of Petroleum Hydrocarbons with Different Carbon Chain Structures by Composting Systems

SSRN

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SSRN 2023年

作者： Cai, Danmei Zhao, Xinyu Wang, Yan Zhang, Chuanyan Dang, Qiuling Xi, Beidou State Key Laboratory of Environmental Criteria and Risk Assessment State Environmental Protection Key Laboratory of Hazardous Waste Identification and Risk Control Chinese Research Academy of Environmental Sciences Beijing100012 China College of Life Science Northeast Agricultural University Harbin150030 China School of Environmental Science and Engineering Guilin University of Technology Guilin541000 China

Composting can decrease petroleum hydrocarbons in contaminated soils, however microbial mechanisms for petroleum hydrocarbons with different carbon chain structures and the methods of regulation of key microorganisms have not been investigated. The study aimed to investigate the regulation of total petroleum hydrocarbons in C≤16 and C>16 fractions with key microorganisms in biogas slurry amended composts preferentially selected by Random Forest model. The results showed that the composting improved the degradation rate of C≤16 fraction and C>16 fraction by 67.88% and 61.87%, respectively. The degrading bacteria of the C≤16 fraction had degradation advantages in the heating phase of the compost, while the C>16 fraction degraded better in the cooling phase. Total nitrogen and nitrate nitrogen were significantly associated with microorganisms which specifically degraded C>16 fractions. Moreover, organic matter, moisture content and temperature also modulated the biodegradation of fractions C≤16. In this study, the composting method modified by biogas slurry was shown to be effective in regulating the removal of petroleum hydrocarbons of different carbon chain types from soil through the metabolic potential of the 46 key microorganisms, achieving the purpose of treating waste with waste and contributing to soil utilization as well as pollutant remediation. © 2023, The Authors. All rights reserved.

关键词： Microorganisms

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Accurate Identification and Localization of Transmission Lines under Complex Lighting for Distribution Network Power Supply Operation Robots

Accurate Identification and Localization of Transmission Lin...

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2024 China Automation Congress, CAC 2024

作者： Liu, Tianhe Chen, Xin Hu, Chenyu Jian, Xu Li, Shengzu Wang, Gang School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Equipment Technology Center State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan430077 China Distribution Department State Grid Hubei Electric Power Co. Ltd. Wuhan Power Supply Company 430070 China

ISBN: (纸本)9798350368604

Accurate identification and position of transmission lines is critical for robots to safely and effectively perform distribution network operations. However, such tasks are often challenged by complex lighting conditions, where depth information can be easily lost. Transmission lines have limited texture features and reflective surfaces, making it difficult to match image feature points. To address these challenges, this paper proposes a visual perception system for weak texture targets under complex lighting, based on an "eye-on-hand" configuration and a depth complementation algorithm. Furthermore, a high-precision identification and localization method for transmission line grasping points is developed, utilizing the fusion of binocular visual color maps and depth maps. The proposed method has been shown to effectively solve the problem of identifying and localizing the grasping points of transmission lines under complex lighting conditions. Experiments demonstrated that the method can improve the localization accuracy to within ±4mm, outperforming other algorithms. The method is characterized as simple and efficient, and it enhances the environmental adaptability of distribution network robots. © 2024 IEEE.

关键词： Binocular vision

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Bandgap engineering of Resorcinol-Formaldehyde Resin for Efficient H2o2 Photosynthesis from Air and Water

SSRN

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SSRN 2024年

作者： Wang, Wuming Tang, Yuyang Ran, Jiaqi Teng, Wei Peng, Cheng Xu, Zuxin Chu, Wenhai State Key Laboratory of Pollution Control and Resources Reuse College of Environmental Science and Engineering Tongji University Shanghai200092 China Shanghai Institute of Pollution Control and Ecological Security Shanghai200092 China International Joint Research Center for Sustainable Urban Water System Tongji University Shanghai200092 China Key Laboratory of Interfacial Physics and Technology Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai201800 China Tongji University China

On-site photosynthesis of hydrogen peroxide (PHP) from water and oxygen presents a promising vision for decentralized production technology of H2O2 at low concentration. Bandgap structure is crucial to photocatalyst for efficient H2O2 photosynthesis. Here we presented a sulfur-doping strategy to modulate the bandgap structure of resorcinol-formaldehyde (RF) resin to enhance the photocatalytic activity and stability. Results revealed the optimized bandgap structure of sulfur-doped RF enables an outstanding performance, with the solar-to-chemical conversion efficiency exceeding 0.6% after 24 h. Over sulfur-doped RF, oxygen can not only undergo a one-step two-electron reduction to produce H2O2, but an additional pathway, a two-step single-electron indirect reduction pathway, also occurs. Besides, PHP solution exhibited adequate disinfection efficiency in E. coli suspend and natural water, while its disinfection by-product (DBP) formation was negligible. This study provides valuable insights into designing efficient photocatalyst for practical applications, offering a sustainable and low-energy consumption technology for decentralized water disinfection. © 2024, The Authors. All rights reserved.

关键词： Photosynthesis

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An Innovative Theory Method to Calculate 3d Breaking Characteristics of Hard - Thick Layers Supported by Elastic-Plastic Coal and Rock Mass for a Longwall Face

SSRN

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SSRN 2024年

作者： Tai, Yang Shi, Bowen Yu, Bin Zhang, Chunwang State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400030 China School of Resources and Safety Engineering Chongqing University Chongqing400030 China Shanxi Engineering Research Center for Coal Mine Intelligent Equipment Taiyuan University of Science and Technology Shanxi Taiyuan030024 China

Hard-thick key strata play a vital role in influencing rock mass behavior, particularly in relation to mining-induced stress and ground subsidence. Theoretical calculations serve as a valuable tool in elucidating their breaking characteristics. Traditional approaches such as Thin Plate Theory fall short by neglecting lateral shear deformations, rendering them inaccurate. Mid-Thick Plate Theory is another avenue some researchers explore, but it too comes with limitations, primarily its tendency to oversimplify boundary conditions and ignore key attributes like material plasticity and strain-softening behavior. In response to these challenges, the paper introduces a refined method aimed at calculating 3D fracturing characteristics in hard-thick layers, especially those supported by an elastic-plastic coal and rock mass. The methodology integrates traditional boundary conditions, like clamping and simple supports, but augments them with elastic-plastic supports. Subsequently, a comprehensive constitutive model is established that describes the full compression behavior of the elastic-plastic coal-rock mass, replete with equations for stiffness calculations. Leveraging the concepts of Mid-Thick Plate Theory, a specialized mechanical fracturing model is developed to suit the unique characteristics of hard-thick layers. Failure criteria are also formulated, alongside guidelines for crack propagation, with the assistance of equations to calculate principal and maximum shear stresses. Finite difference methods are employed to derive equations governing stress components, boundary conditions, and failure criteria. For empirical validation, the methodology is applied to real-world conditions observed in the 8202 Working Face of the Tashan Coal Mine. MATLAB is utilized to calculate the stresses of the K3 key layer, subsequently allowing for an assessment of the cause, pattern, and size of the first and periodic breaks. Additionally, when these findings are contrasted with the

关键词： Boundary conditions

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