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Mapping the Distribution of Exotic Mangrove Species in Shenzhen Bay Using Worldview-2 Imagery 1

6th International Conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018

作者： Li, Hongzhong Han, Yu Chen, Jinsong Guo, Shanxin Shenzhen Institute of Advanced Technology CAS Xueyuan Avenue 1068 Shenzhen China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Land and Resources Shenzhen China

ISBN: (数字)9789811370250

ISBN: (纸本)9789811370243

Shenzhen Bay is an important distribution area of mangrove, with Futian Reserve and Mai Po Reserve. Sonneratia (including Sonneratia caseolaris and Sonneratia apetala) are exotic mangrove species in Shenzhen Bay. Study on the Sonneratia potential impact on native mangrove species requires accurate and repeatable mapping of Sonneratia distribution. Several previous studies have mapped mangrove extent and species, but Sonneratia have been largely ignored. In this study, high resolution Worldview-2 (WV2) imagery was used in Shenzhen Bay Sonneratia mapping. Separability analyses with spectral and textural features were conducted based on Jeffries-Matusita (JM) distance. Results showed that Sonneratia caseolaris and Sonneratia apetala were inseparable in WV2 imagery, and therefore the two species were merged into a single species in the study. Maximum likelihood (ML) classifier, neural net (NN) classifier and support vector machine (SVM) classifier were applied to spectral and textural features, and six mangrove species classification results were obtained. Considering the six classification results together, the distribution of Sonneratia was mapped based on the criteria that, for each polygon, it was categorized as Sonneratia if and only if it was classified as Sonneratia in at least four classification results. The distribution results of Sonneratia showed an agreement with distribution characteristic based on field survey and past literatures. The producer’s accuracy was 79.24% and the user’s accuracy was 92.14%, which indicated great potential of using high-resolution multi-spectral data for distinguishing and mapping Sonneratia. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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DPA-2: a large atomic model as a multi-task learner

arXiv

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arXiv 2023年

作者： Zhang, Duo Liu, Xinzijian Zhang, Xiangyu Zhang, Chengqian Cai, Chun Bi, Hangrui Du, Yiming Qin, Xuejian Peng, Anyang Huang, Jiameng Li, Bowen Shan, Yifan Zeng, Jinzhe Zhang, Yuzhi Liu, Siyuan Li, Yifan Chang, Junhan Wang, Xinyan Zhou, Shuo Liu, Jianchuan Luo, Xiaoshan Wang, Zhenyu Jiang, Wanrun Wu, Jing Yang, Yudi Yang, Jiyuan Yang, Manyi Gong, Fu-Qiang Zhang, Linshuang Shi, Mengchao Dai, Fu-Zhi York, Darrin M. Liu, Shi Zhu, Tong Zhong, Zhicheng Lv, Jian Cheng, Jun Jia, Weile Chen, Mohan Ke, Guolin Weinan, E. Zhang, Linfeng Wang, Han AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China CAS Key Laboratory of Magnetic Materials and Devices Zhejiang Province Key Laboratory of Magnetic Materials and Application Technology Chinese Academy of Sciences Ningbo315201 China School of Electronics Engineering and Computer Science Peking University Beijing100871 China Shanghai Engineering Research Center of Molecular Therapeutics & New Drug Development School of Chemistry and Molecular Engineering East China Normal University Shanghai200062 China Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States Department of Chemistry Princeton University PrincetonNJ08540 United States College of Chemistry and Molecular Engineering Peking University Beijing100871 China Yuanpei College Peking University Beijing100871 China School of Electrical Engineering and Electronic Information Xihua University Chengdu610039 China State Key Laboratory of Superhard Materials College of Physics Jilin University Changchun130012 China Key Laboratory of Material Simulation Methods & Software of Ministry of Education College of Physics Jilin University Changchun130012 China International Center of Future Science Jilin University Changchun130012 China Key Laboratory for Quantum Materials of Zhejiang Province Department of Physics School of Science Westlake University Zhejiang Hangzhou310030 China Atomistic Simulations Italia

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demonstrated the capability to conduct large-scale, long-duration simulations with the accuracy of ab initio electronic structure methods. However, the model generation process remains a bottleneck for large-scale applications. We propose a shift towards a model-centric ecosystem, wherein a large atomic model (LAM), pre-trained across multiple disciplines, can be efficiently fine-tuned and distilled for various downstream tasks, thereby establishing a new framework for molecular modeling. In this study, we introduce the DPA-2 architecture as a prototype for LAMs. Pre-trained on a diverse array of chemical and materials systems using a multi-task approach, DPA-2 demonstrates superior generalization capabilities across multiple downstream tasks compared to the traditional single-task pre-training and fine-tuning methodologies. Our approach sets the stage for the development and broad application of LAMs in molecular and materials simulation research. Copyright © 2023, The Authors. All rights reserved.

关键词： Multi-task learning

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Model-Predictive Optimization for Lane Keeping Assistance System with Exponential Decay Smoothing

Model-Predictive Optimization for Lane Keeping Assistance Sy...

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IEEE International Conference on Robotics and Biomimetics

作者： Sheng Zhang Xiangtao Zhuan Yating Fang Jun Cheng School of Electrical and Automation Wuhan University Wuhan China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology CAS China School of Transportation Science and Engineering Civil Aviation University of China Tianjin China The Chinese University of Hong Kong Hong Kong China

ISBN: (纸本)9781665405362

Lane keeping assistance system is a widely used driving assistance system. When the vehicle enters and exits a curve, the responses related to lateral stability will show significant fluctuations. Smooth lane keeping is the cornerstone of the user’s trust towards the lane keeping assistance, and it is important to smooth the responses related to lateral stability. Therefore, in this paper, a lane keeping control strategy that can achieve smooth steering operation is proposed. First of all, the lateral dynamics model that can be used for lane keeping control conveniently is established. In addition, with the model predictive control (MPC), the control strategy for lane keeping is designed. The main control objective is lateral stability, and performance variables are used to measure the performance during lane keeping process. What’s more, the contribution of this paper is that a reference trajectory in the form of an exponential decay function is set for the performance variables, so that the performance variables approach the optimal value in a smooth manner. Finally, two simulation scenarios for lane keeping are set up, and the control strategy in this paper is verified by simulation experiments.

关键词： Analytical models Fluctuations Smoothing methods Lane departure warning systems Stability analysis Trajectory Vehicle dynamics

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Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

引用

Journal of Systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

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Enhancing Performance of Electrical Discharge Machining by Ultrafine-Grained Cu-0.5%Cr Electrode

SSRN

引用

SSRN 2022年

作者： Chu, Zhu Qi Wei, Kun Xia Wei, Wei Alexandrov, Igor V. An, Xu Long Wang, Dan Dan Liu, Xiang Kui School of Materials Science and Engineering Changzhou University 1 Gehu Road Changzhou213164 China School of Electronic Engineering and Intelligent Manufacturing Anqing Normal University 1314 Jixian North Road Anqing246011 China Jiangsu Key Laboratory of Materials Surface Science and Technology Advanced Functional Materials of Jiangsu Joint Laboratory for International Cooperation Changzhou University Changzhou213164 China Department of Materials Science and Physics of Metals Ufa State Aviation Technical University 12 K. Marx St. Ufa450008 Russia

Electrode is an important component that affects the performance of electrical discharge machining (EDM), It plays an important role in machining efficiency, surface quality and geometric accuracy. In this work, a new method of preparing Cu-0.5%Cr electrode by equal channel angular pressing (ECAP), deep cryogenic treatment (DCT) and aging treatment (AT) is proposed. The ultrafine-grained Cu-0.5%Cr electrode has high strength and high electrical conductivity through this process, so as to improve the machining characteristics in EDM. The surface roughness (Ra), the workpiece corner sharpness (WCS), and the electrode wear rate (EWR) were investigated. The results show that the electrode treated with 4 passes of ECAP + DCT (12h) + AT (550℃×1h) can reduce the EWR and WCS by 63.6% and 49.7%, respectively. This is due to the electrical conductivity and microhardness of Cu-0.5%Cr electrode are significantly improved through ECAP+DCT+AT. At the same time, the research shows that the treatment of the Cu-0.5%Cr electrode with 4 passes of ECAP + DCT (12h) + AT (550℃×1h) can result in the excellent machined surface quality (Ra is reduced by 53.5%) which is confirmed by the results of the scanning electron microscopy (SEM) method. Ultrafine-grained Cu-0.5%Cr electrode with an excellent combination of strength and good electrical conductivity has an outstanding processing performance. © 2022, The Authors. All rights reserved.

关键词： Surface properties

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A Multi-Objective Optimization Model for simulation-based Acquisition

A Multi-Objective Optimization Model for Simulation-based Ac...

引用

Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)

作者： Xue Zhang Junjie Xue Junhua Zhou Guoqiang Shi Yan Yu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (数字)9781728170862

ISBN: (纸本)9781728170879

Large-scale equipment presents the characteristics of technology-intensive, knowledge-intensive and complex, which brings high investment and high risk to equipment acquisition. This paper analyzes the various components of equipment acquisition to fully apply modeling and simulation technology to each stage of it. On the basis of multi-objective optimization theory, the objective function of the lowest risk and lowest cost of simulation-based acquisition (SBA) is proposed. Then establishing a multi-objective optimization model for simulation-based acquisition according to the corresponding constraints. The nondominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO) algorithms are used to optimize the model, and the majority voting method is used for integration. The comparison of simulation examples proves that the multi-objective optimization model oriented to SBA designed in this paper can effectively realize the optimization of each objective of SBA under cost constraints. And the feasibility and efficiency of optimization solution are guaranteed.

关键词： Analytical models Linear programming Reliability Particle swarm optimization Optimization Sorting Investment

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Numerical Stability and Compensation Method for Equivalent Controlled Source in Electromagnetic Transient simulation

Numerical Stability and Compensation Method for Equivalent C...

引用

2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Gao, Lu Ji, Feng Yan, Heming Lin, Chang Pang, Hui Li, Jihong State Key Laboratory of Advanced Power Transmission Technology Beijing Key Laboratory of DC grid Technology and Simulation Global Energy Interconnection Research Institute Co. Ltd Beijing China State Grid Zhejiang Electric Power Co. Ltd Hangzhou China

ISBN: (纸本)9781728135205

In electromagnetic transient simulation, equivalent controlled source is usually used as an alternative of the original circuit element, such as a controlled voltage source to replace the modular multilevel converter(MMC). Since a time-step delay between the control and circuit system solution, there may be numerical stability problem. By deducing the delay differential equation and calculating its characteristic values, the causes of numerical instability are explained. Finally the numeric compensation method to solve the numerical stability problem is proposed by studying the delay function through Taylor's series and Laplace transformation. © 2019 IEEE.

关键词： Time delay

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Differences of the oxidation process and secondary organic aerosol formation at low and high precursor concentrations

引用

Journal of Environmental Sciences 2019年第5期31卷 256-263页

作者： Tianzeng Chen Yongchun Liu Biwu Chu Changgeng Liu Jun Liu Yanli Ge Qingxin Ma Jinzhu Ma Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences

Current atmospheric quality models usually underestimate the level of ambient secondary organic aerosol(SOA), one of the possible reasons is that the precursors at different concentrations may undergo different oxidation processes and further affect SOA formation. Therefore, there is a need to perform more chamber studies to disclose the influence. In this work, SOA formation over a wide range of initial precursor concentrations(tens of ppb to hundreds of ppb levels) was investigated in a 30 m3 indoor smog chamber,and mainly through the analysis of multiple generations of VOCs detected from HR-To FPTRMS to expound the difference in the oxidation process between low and high precursor concentrations. Compared to high initial concentrations, gas-phase intermediates formed at low concentrations had a higher intensity by about one order of magnitude, and the lowvolatility compounds also had a higher formation potential due to the competition between semi-volatile intermediates and precursors with oxidants. In addition, the formed SOA was more oxidized with higher f44 value(0.14 ± 0.02) and more relevant to real atmosphere than that formed at high concentrations. This work should help to deeply understand SOA formation and improve the performance of air quality models for SOA simulation.

关键词： Secondary organic aerosol Aromatic hydrocarbons Aerosol mass spectrometer Low-volatility compounds Oxidation processes

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Effect of Pt-Al coating on the fatigue behavior of the single-crystal superalloy at different temperatures

引用

Journal of Alloys and Compounds 2025年 1035卷

作者： Wang, Jiawei Bao, Zebin Li, Shuai Pang, Xiaolu Key Laboratory of Intelligent Equipment Digital Design and Process Simulation Hebei Province Tangshan University Tangshan063000 China Beijing Advanced Innovation Center for Materials Genome Engineering School of Materials Science and Engineering University of Science and Technology Beijing Beijing100083 China Shi-Changxu Innovation Center for Advanced Materials Institute of Metal Research Chinese Academy of Sciences Shenyang110016 China Institute of Materials Intelligent Technology Liaoning Academy of Materials Shenyang110004 China

This study investigated the effect of Pt-Al coating on the fatigue behavior of a second-generation single-crystal superalloy (DD5) at different temperatures. The Pt-Al bond coat was deposited on the superalloy, and rotating-bend fatigue tests were conducted at 700 ℃ and 900 ℃. The results showed that the bond coat did not affect the fatigue life at 900 ℃ but improved the fatigue strength at 700 ℃ under low-stress amplitude. However, at high-stress amplitude, the bond coat reduced the fatigue performance at 700 ℃. The fracture morphologies and cross-sectional microstructure were characterized to understand the fatigue crack initiation and propagation mechanisms. © 2025 Elsevier Ltd

关键词： Aluminum coatings

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Application of the asynchronous advantage actor–critic machine learning algorithm to real-time accelerator tuning

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Nuclear Science and Techniques 2019年第10期30卷 133-141页

作者： Yun Zou Qing-Zi Xing Bai-Chuan Wang Shu-Xin Zheng Cheng Cheng Zhong-Ming Wang Xue-Wu Wang Key Laboratory of Particle and Radiation Imaging(Tsinghua University) Ministry of EducationBeijing 100084China Laboratory for Advanced Radiation Sources and Application Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Northwest Institute of Nuclear TechnologyXian 710000China

This paper describes a real-time beam tuning method with an improved asynchronous advantage actor–critic(A3C)algorithm for accelerator *** operating parameters of devices are usually inconsistent with the predictions of physical designs because of errors in mechanical matching and ***,parameter optimization methods such as pointwise scanning,evolutionary algorithms(EAs),and robust conjugate direction search are widely used in beam tuning to compensate for this ***,it is difficult for them to deal with a large number of discrete local *** A3C algorithm,which has been applied in the automated control field,provides an approach for improving multi-dimensional *** A3C algorithm is introduced and improved for the real-time beam tuning code for *** in which optimization is achieved by using pointwise scanning,the genetic algorithm(one kind of EAs),and the A3C-algorithm are conducted and compared to optimize the currents of four steering magnets and two solenoids in the low-energy beam transport section(LEBT)of the Xi’an Proton Application *** currents are determined when the highest transmission of a radio frequency quadrupole(RFQ)accelerator downstream of the LEBT is *** optimal work points of the tuned accelerator were obtained with currents of 0 A,0 A,0 A,and 0.1 A,for the four steering magnets,and 107 A and 96 A for the two ***,the highest transmission of the RFQ was 91.2%.Meanwhile,the lower time required for the optimization with the A3C algorithm was successfully *** with the A3C algorithm consumed 42%and 78%less time than pointwise scanning with random initialization and pre-trained initialization of weights,respectively.

关键词： Real-time beam tuning Parameter optimization Asynchronous advantage actor–critic algorithm Low-energy beam transport

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