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Analyzing the spatiotemporal evolution and driving forces of gross ecosystem product in the upper reaches of the Chaobai River Basin

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Frontiers of Environmental Science & engineering 2024年第8期18卷 117-132页

作者： Jiacheng Li Qi Han Liqiu Zhang Li Feng Guihuan Liu Beijing Key Laboratory for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Engineering Research Center for Water Pollution Source Control&Eco-remediation College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Center of Eco-compensation Chinese Academy of Environmental PlanningMinistry of Ecology of EnvironmentBeijing 100041China

The Chaobai River Basin,which is a crucial ecological barrier and primary water source area within the Beijing-Tianjin-Hebei region,possesses substantial ecological *** gross ecosystem product(GEP)in the Chaobai River Basin is a reflection of ecosystem conditions and quantifies nature’s contributions to humanity,which provides a basis for basin ecosystem service management and *** study investigated the spatiotemporal evolution of GEP in the upper Chaobai River Basin and explored the driving factors influencing GEP spatial *** patterns from 2005 to 2020 were analyzed,and GEP was calculated for 2005,2010,2015,and *** driving factors influencing GEP spatial differentiation were identified using the optimal parameter-based geographical detector(OPGD)*** key findings are as follows:(1)From 2005 to 2020,the main ecosystem types were forest,grassland,and *** areas experienced significant changes,and conversions mainly occurred among urban,water,grassland and agricultural ecosystems.(2)Temporally,the GEP in the basin increased from 2005 to 2020,with regulation services *** the county(district)scale,GEP exhibited a north-west-high and south-east-low pattern,showing spatial differences between per-unit-area GEP and county(district)GEP,while the spatial variations in per capita GEP and county(district)GEP were similar.(3)Differences in the spatial distribution of GEP were influenced by regional natural geographical and socioeconomic *** these factors,gross domestic product,population density,and land-use degree density contributed *** among different driving forces noticeably impacted GEP spatial *** findings underscore the necessity of incorporating factors such as population density and the intensity of land-use development into ecosystem management decision-making processes in the upper reaches of the Chaobai River *** policies

关键词： Ecosystem pattern Gross ecosystem product(GEP) Spatiotemporal evolution Optimal parameter-based geographical detector(OPGD) Chaobai River Basin

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Collision-Free Algorithm for Industrial Robots Based GJK and OBB Theories

Collision-Free Algorithm for Industrial Robots Based GJK and...

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International Conference on SmartRail, Traffic, and Transportation engineering, ICSTTE 2023

作者： Aalhasan, Ali Joodi Bao, Song National Engineering Research Center of Numerical Control System Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789819736812

This paper proposes a better way for industrial robots to avoid collisions while manipulating objects. The method uses the Oriented Bounding Boxes (OBB) theory. OBB is effective because it can work with objects turned in any direction, which makes it very exact. To detect if two OBBs are colliding, the algorithm adopted double-check collision detection to achieve a collision-free workspace. First, Threshold distance collision detection by calculating the nearest line between an object’s corners. Then by the Gilbert-Johnson-Keerthi (GJK) algorithm. The algorithm uses Z-Y-Z Euler's angles to handle orientation between robot grippers and objects during paths. This updated algorithm will make industrial robots safer and more efficient when handling objects. We have adopted Coppellia Simulation software to verify the accuracy of the algorithm with different scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Industrial robots

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State and parameter identification of linearized water wave equation via adjoint method

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Science China(Information Sciences) 2024年第10期67卷 283-297页

作者： Yang YU Cheng-Zhong XU Hai-Long PEI Jinpeng YU School of Automation Qingdao University LAGEP Batiment CPE University Claude Bernard-Lyon 1 School of Automation Science and Engineering Key Laboratory of Autonomous Systems and Networked ControlMinistry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle SystemSouth China University of Technology

In this paper, we focus on the state and parameter identification problem of a hydrodynamical system. This system is modeled as a linearized water wave equation(LWWE), a hyperbolic state-space model coupled with a Laplace equation. We assume that the wave elevation at two distinct points is the only measurement of water waves. We show that the state and water depth can be reconstructed from this point measurement records. The identification problem is recast as an optimization problem over an infinite-dimensional space. We propose the adjoint method-based identification algorithm to generate an estimated state and water depth. We then performed a numerical simulation to show the effectiveness of our designed algorithm by comparing it with existing studies.

关键词： linearized water wave equation (LWWE) point observation state estimation parameter identification adjoint method numerical simulation

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Lightweight Multi-scale Convolutional Neural Network for Rice Leaf Disease Recognition

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Computers, Materials & Continua 2023年第1期74卷 983-994页

作者： Chang Zhang Ruiwen Ni Ye Mu Yu Sun Thobela Louis Tyasi College of Information Technology Jilin Agricultural UniversityChangchun130118China Jilin Province Agricultural Internet of Things Technology Collaborative Innovation Center Changchun130118China Jilin Province Intelligent Environmental Engineering Research Center Changchun130118China Jilin Province Information Technology and Intelligent Agriculture Engineering Research Center Changchun130118China Department of Agricultural Economics and Animal Production University of LimpopoPrivate Bag X 1106Sovenga0727PolokwaneSouth Africa

In the field of agricultural information,the identification and prediction of rice leaf disease have always been the focus of research,and deep learning(DL)technology is currently a hot research topic in the field of pattern *** research and development of high-efficiency,highquality and low-cost automatic identification methods for rice diseases that can replace humans is an important means of dealing with the current situation from a technical *** paper mainly focuses on the problem of huge parameters of the Convolutional Neural Network(CNN)model and proposes a recognitionmodel that combines amulti-scale convolution module with a neural network model based on Visual Geometry Group(VGG).The accuracy and loss of the training set and the test set are used to evaluate the performance of the *** test accuracy of this model is 97.1%that has increased 5.87%over ***,the memory requirement is 26.1M,only 1.6%of the *** results show that this model performs better in terms of accuracy,recognition speed and memory size.

关键词： Rice leaf diseases deep learning lightweight convolution neural networks VGG

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Piloted Evaluation of a Fault Recovery System for an Aircraft with Distributed Electric Propulsion

Piloted Evaluation of a Fault Recovery System for an Aircraf...

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AIAA Science and technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Litt, Jonathan S. Sachs-Wetstone, Jonah J. Shane Sowers, T. Karl Owen, A. Bricker, Sophia M. Schaldenbrand, Anna Intelligent Control and Autonomy Branch NASA Glenn Research Center ClevelandOH44135 United States Intelligent Control and Autonomy Branch HX5 LLC Brook ParkOH44024 United States Intelligent Control and Autonomy Branch NovaTek Engineering ChardonOH44024 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Electrified aircraft powertrains contain multiple tightly coupled subsystems, making them much more complex than traditional aircraft propulsion systems, both in terms of integration and control. Electrification enables aircraft to have multiple distributed thrust-producing fans that the flight control system can utilize for enhanced maneuverability, further increasing the control complexity. The SUbsonic Single Aft eNgine (SUSAN) Electrofan is a NASA concept aircraft that leverages this technology. SUSAN is a series/parallel partial hybrid electric single-aisle transport aircraft that takes advantage of its electrified powertrain to provide fuel burn and emissions benefits when compared to the state-of-the-art. Achieving these benefits requires an appropriately designed control architecture that coordinates the various powertrain and flight control subsystems. As such, the SUSAN aircraft is designed with a high level of automation, allowing it to properly manage coupled subsystems and react rapidly to failures and anomalies. To do this effectively, algorithms that perform component health management, fault detection, isolation, and accommodation, and continuous optimization, must be developed, tested, validated, and implemented. This paper describes a piloted evaluation of such an algorithm in scenarios with multiple fan failures, performed in a flight simulator, demonstrating failure recovery and continued safe operation up to the limits of the powertrain. These scenarios are subsequently related to certification requirements. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aircraft propulsion

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Design and Application of Hydraulic Inverted Pendulum 8th

Design and Application of Hydraulic Inverted Pendulum

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8th International Conference on Advances in Construction Machinery and Vehicle engineering, ICACMVE 2023

作者： Ding, Guyue Bian, Yongming Yang, Meng School of Mechanical Engineering Tongji University Shanghai201804 China Shanghai Engineering Research Center for Safety Intelligent Control of Building Machinery Shanghai200032 China

ISBN: (纸本)9789819718757

This paper briefly describes the designing process of a hydraulic inverted pendulum including hardware and software design. First, the mechanical structure, including the components of the platform will be introduced. Second, the electrical system including controllers for receiving signals from sensors which measure the variables important for controlling inverted pendulum is about to be shown. Afterwards, the paper will present a mathematical model of the whole platform, then shows up an open loop simulation established by AMESim and Simulink in order to analysis its dynamic characteristic. By comparing the simulation result and reality, the rationality of mathematical model is finally verified. © The Author(s) 2024.

关键词： Simulink

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Response Characteristics and Regulation Feasibility of DC Charging Station controlled by GFM/GFL Virtual Inertia for Grid Frequency Stability

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7743-7758页

作者： Ke, Song Ding, Leyan Shi, Xingye Fan, Peixiao Wang, Hongli Chen, Lei Yang, Jun Chung, Chi Yung Wuhan University School of Electrical Engineering and Automation Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network China Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Department of Electrical and Electronic Engineering Hong Kong Hong Kong

To investigate the feasibility and differences between the grid-forming (GFM) and grid-following (GFL) control strategies for the frequency response (FR) in DC charging stations (CSs), this paper first identifies the characteristics of the virtual inertia of GFM and GFL and establishes an analytical model of the system frequency response considering FR in CSs. Second, the virtual inertia response control model of CSs are proposed under GFM and GFL controls, respectively. And their FR characteristics are analyzed. Finally, the frequency response characteristics of CS FR under variations of time delay, FR capacity, and virtual inertia are analyzed in the improved IEEE 3-machine 9-node and 10-machine 39-node benchmarks. The results show that the frequency response of the GFM CS is less affected by time delay and can affect the grid frequency in the form of inertia when the amount of electric vehicles (EVs) required in the CS groups is about 300-400. Whereas the overcapacity of the GFL CS will cause the system frequency to oscillate. Therefore, the choice of virtual inertia control strategy adopted by the CS is closely related to the number of EVs in the station and its adjustable margin. © 2015 IEEE.

关键词： Vehicle-to-grid

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Alkali Metal Ion Substituted Carboxymethyl Cellulose as Anode Polymeric Binders for Rapidly Chargeable Lithium-Ion Batteries

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Energy & Environmental Materials 2024年第1期7卷 77-82页

作者： Seoungwoo Byun Zhu Liu Dong Ok Shin Kyuman Kim Jaecheol Choi Youngjoon Roh Dahee Jin Seungwon Jung Kyung-Geun Kim Young-Gi Lee Stefan Ringe Yong Min Lee Department of Energy Science and Engineering Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Korea ZJU-Hangzhou Global Scientific and Technological Innovation Center Zhejiang UniversityHangzhou 311215China Intelligent Sensors Research Section Electronics and Telecommunications Research Institute(ETRI)Daejeon 34129Korea Department of Advanced Device Technology University of Science and Technology(UST)Daejeon 34113Korea Intelligent Polymer Research Institute and ARC Centre of Excellence for Electromaterials Science University of WollongongWollongong NSW 2522Australia Department of Chemistry Korea UniversitySeoul 02841Korea Energy Science and Engineering Research Center Daegu Gyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Korea

The increasing demand for short charging time on electric vehicles has motivated realization of fast chargeable lithium-ion batteries(LIBs).However,shortening the charging time of LIBs is limited by Li^(+)intercalation process consisting of liquid-phase diffusion,de-solvation,SEI crossing,and solid-phase ***,we propose a new strategy to accelerate the de-solvation step through a control of interaction between polymeric binder and solvent-Li^(+)*** this purpose,three alkali metal ions(Li^(+),Na^(+),and K^(+))substituted carboxymethyl cellulose(Li-,Na-,and K-CMC)are prepared to examine the effects of metal ions on their *** lowest activation energy of de-solvation and the highest chemical diffusion coefficient were observed for ***,Li-CMC cell with a capacity of 3 mAh cm^(-2)could be charged to>95%in 10 min,while a value above>85%was observed after 150 ***,the presented approach holds great promise for the realization of fast charging.

关键词： de-solvation digital twins fast charging graphite anodes polymeric binders

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High-Precision UAV Positioning Method Based on MLP Integrating UWB and IMU

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清华大学学报自然科学版（英文版） 2025年第3期30卷 1315-1328页

作者： Binbin Bao Chuanwen Luo Yi Hong Zhibo Chen Xin Fan School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing National Forestry and Grassland AdministrationBeijing 100083China

Unmanned Aerial Vehicles(UAVs)are promising for their agile flight capabilities,allowing them to carry out tasks in various complex *** efficiency and accuracy of UAV operations significantly depend on high-precision positioning ***,the existing positioning techniques often struggle to achieve accurate position estimates in conditions of Non-Line-Of-Sight(NLOS).To address this challenge,we propose a novel high-precision UAV positioning method based on MultiLayer Perceptron(MLP)integrating Ultra-WideBand(UWB)and Inertial Measurement Unit(IMU)technologies,which can acquire centimeter-level high-precision location *** the method,we simultaneously extract key features from channel impulse responses and state space of UAV for training an MLP model,which can not only reduce error of UWB signals from dynamically flying UAV to anchor in NLOS environments,but also adapt to the diverse environment ***,we respectively apply the anchor node assisted position calibration method and cooperative positioning techniques to the dynamic flying UAVs for solving the issues of UWB signal being blocked and *** conduct extensive real-world experiments to demonstrate the effectiveness of our *** results show that the median positioning errors of UAV in hovering and flight are 6.3 cm and within 20 cm,respectively.

关键词： Ultra-WideBand(UWB) Inertial Unmanned Measurement Unit(IMU) high-precision Unmanned Aerial Vehicle(UAV)positioning machine learning

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Improved beluga whale optimization algorithm based cluster routing in wireless sensor networks

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Mathematical Biosciences and engineering 2024年第3期21卷 4587-4625页

作者： Yuan, Hao Chen, Qiang Li, Hongbing Zeng, Die Wu, Tianwen Wang, Yuning Zhang, Wei Chongqing Key Laboratory of Geological Environmental Monitoring and Disaster Early Warning in the Three Gorges Reservoir Area Chongqing Three Gorges University Chongqing404120 China Internet of Things and Intelligent Control Technology Chongqing Engineering Research Center Chongqing Three Gorges University Chongqing404120 China Chongqing Municipal Key Laboratory of Intelligent Information Processing and Control Chongqing Three Gorges University Chongqing404120 China

Cluster routing is a critical routing approach in wireless sensor networks (WSNs). However, the uneven distribution of selected cluster head nodes and impractical data transmission paths can result in uneven depletion of network energy. For this purpose, we introduce a new routing strategy for clustered wireless sensor networks that utilizes an improved beluga whale optimization algorithm, called tCBWO-DPR. In the selection process of cluster heads, we introduce a new excitation function to evaluate and select more suitable candidate cluster heads by establishing the correlation between the energy of node and the positional relationship of nodes. In addition, the beluga whale optimization (BWO) algorithm has been improved by incorporating the cosine factor and t-distribution to enhance its local and global search capabilities, as well as to improve its convergence speed and ability. For the data transmission path, we use Prim’s algorithm to construct a spanning tree and introduce DPR for determining the optimal route between cluster heads based on the correlation distances of cluster heads. This effectively shortens the data transmission path and enhances network stability. Simulation results show that the improved beluga whale optimization based algorithm can effectively improve the survival cycle and reduce the average energy consumption of the network. © 2024 the Author(s).

关键词： Heuristic algorithms

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