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Pattern-based validation metric for simulation models

science China(Information sciences) 2020年第5期63卷 209-211页

作者： Yuanjun LAILI Lin ZHANG Yongliang LUO Beijing Advanced Innovation Center for Big Data-based Precision Medicine School of Automation Science and Electrical EngineeringBeihang University China State Shipbuilding Corporation System Engineering Research Institute

Dear editor,Simulation is one of the most important technologies that aid in the study of real-world phenomena. It helps engineers in making better decisions related to complex systems when mathematical models are partially or even completely unknown. A simulation model is an analog of real-world objects. Only appropriate and qualified models can ensure applicable and valuable simula-

关键词： simulation Pattern-based validation metric for simulation models

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Event-Triggered $\mathcal{H}_{\infty}$ Output Control for Flexible Robot Arm Under Semi-Markov Stochastic Uncertainties and Hybrid Attacks

Event-Triggered $\mathcal{H}_{\infty}$ Output Control for Fl...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Huiyan Zhang Zixian Chen Rongni Yang Bin Xing Peng Shi Chongqing Innovation Center of Industrial Big-Data Chongqing China School of Mechanical Engineering Chongqing Technology and Business University Chongqing China School of Control Science and Engineering Shandong University Jinan China School of Electrical and Electronic Engineering The University of Adelaide Australia

The event-triggered $\mathcal{H}_{\infty}$ output feedback control for a flexible robot arm system with stochastic uncertainties and hybrid attacks is investigated in this study. Specially, Semi-Markov processes are used to simulate the stochastic uncertainties in state matrices, and the problem of hybrid attacks, such as DoS and data injection attacks, is taken into account in sensors and actuators. To ensure the mean square secure with a $\mathcal{H}_{\infty}$ performance index, sufficient requirements of the flexible robot arm system under event-triggered scheme are derived. Moreover, the event-triggered parameters and the $\mathcal{H}_{\infty}$ output feedback gains are jointly constructed. Finally, the effectiveness of the proposed results in flexible robot arm system is verified by simulation results.

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A local enhanced spatiotemporal tensor decomposition for missing travel time completion

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Smart and Resilient Transportation 2022年第3期4卷 194-208页

作者： Yilong Ren Jianbin Wang School of Transportation Science and Engineering Beihang University Beijing China Zhongguancun Laboratory Beijing China and Beihang Hangzhou Innovation Institute Yuhang Hangzhou China School of Transportation Science and Engineering Beihang University Beijing China and Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing China

Purpose The missing travel time data for roads is a common problem encountered by traffic management departments. Tensor decomposition, as one of the most widely used method for completing missing traffic data, plays a significant role in the intelligent transportation system (ITS). However, existing methods of tensor decomposition focus on the global data structure, resulting in relatively low accuracy in fibrosis missing scenarios. Therefore, this paper aims to propose a novel tensor decomposition model which further considers the local spatiotemporal similarity for fibrosis missing to improve travel time completion accuracy. Design/methodology/approach The proposed model can aggregate road sections with similar physical attributes by spatial clustering, and then it calculates the temporal association of road sections by the dynamic longest common subsequence. A similarity relationship matrix in the temporal dimension is constructed and incorporated into the tensor completion model, which can enhance the local spatiotemporal relationship of the missing parts of the fibrosis type. Findings The experiment shows that this method is superior and robust. Compared with other baseline models, this method has the smallest error and maintains good completion results despite high missing rates. Originality/value This model has higher accuracy for the fibrosis missing and performs good convergence effects in the case of the high missing rate.

关键词： Travel time data completion Fibrosis missing scenarios Tensor decomposition

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Does Graph Distillation See Like Vision dataset Counterpart?

arXiv

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arXiv 2023年

作者： Yang, Beining Wang, Kai Sun, Qingyun Ji, Cheng Fu, Xingcheng Tang, Hao You, Yang Li, Jianxin School of Computer Science and Engineering Beihang University China Advanced Innovation Center for Big Data and Brain Computing Beihang University China National University of Singapore Singapore Carnegie Mellon University United States

Training on large-scale graphs has achieved remarkable results in graph representation learning, but its cost and storage have attracted increasing concerns. Existing graph condensation methods primarily focus on optimizing the feature matrices of condensed graphs while overlooking the impact of the structure information from the original graphs. To investigate the impact of the structure information, we conduct analysis from the spectral domain and empirically identify substantial Laplacian Energy Distribution (LED) shifts in previous works. Such shifts lead to poor performance in cross-architecture generalization and specific tasks, including anomaly detection and link prediction. In this paper, we propose a novel Structure-broadcasting Graph dataset Distillation (SGDD) scheme for broadcasting the original structure information to the generation of the synthetic one, which explicitly prevents overlooking the original structure information. Theoretically, the synthetic graphs by SGDD are expected to have smaller LED shifts than previous works, leading to superior performance in both cross-architecture settings and specific tasks. We validate the proposed SGDD across 9 datasets and achieve state-of-the-art results on all of them: for example, on the YelpChi dataset, our approach maintains 98.6% test accuracy of training on the original graph dataset with 1,000 times saving on the scale of the graph. Moreover, we empirically evaluate there exist 17.6% ∼ 31.4% reductions in LED shift crossing 9 datasets. Extensive experiments and analysis verify the effectiveness and necessity of the proposed designs. The code is available in the https://***/RingBDStack/SGDD. Copyright © 2023, The Authors. All rights reserved.

关键词： Distillation

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Ultra-Local Model Based Fixed- Time Control for the Wearable Exoskeleton with Prescribed Performance

Ultra-Local Model Based Fixed- Time Control for the Wearable...

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Chinese Control Conference (CCC)

作者： Xianlei Zhang Yan Zhang Qing Hu Anjie Yang Xuan Li College of Artificial Intelligence and Data Science Hebei University of Technology Tianjin China Control Engineering Technology Innovation Center of Hebei Province Hebei University of Technology Tianjin P. R. China

This paper studies the problem of trajectory tracking control for the wearable exoskeleton system subject to unknown dynamics. An ultra-local model is adopted to describe the dynamic relationship between control input and output. To achieve high-precision fast tracking, a new fixed-time control method is designed. Not only can the convergence time and tracking accuracy be given in advance, but also the complicated modeling process is avoided. A new performance function is constructed and the specified tracking accuracy is achieved within a given time. Through rigorous theoretical analysis, it can be concluded that all signals of the control system are fixed-time convergent, and the tracking error converges to a small neighborhood of the equilibrium within a fixed-time. Finally, the effectiveness of the control scheme is verified through a practical simulation example.

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DOUBLY ROBUST PROXIMAL CAUSAL LEARNING FOR CONTINUOUS TREATMENTS

arXiv

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arXiv 2023年

作者： Wu, Yong Fu, Yanwei Wang, Shouyan Sun, Xinwei Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China School of Data Science Fudan University China Zhangjiang Fudan International Innovation Center China MOE Frontiers Center for Brain Science Fudan University China Shanghai Engineering Research Center of AI & Robotics Fudan University China Engineering Research Center of AI & Robotics Ministry of Education Fudan University China

Proximal causal learning is a powerful framework for identifying the causal effect under the existence of unmeasured confounders. Within this framework, the doubly robust (DR) estimator was derived and has shown its effectiveness in estimation, especially when the model assumption is violated. However, the current form of the DR estimator is restricted to binary treatments, while the treatments can be continuous in many real-world applications. The primary obstacle to continuous treatments resides in the delta function present in the original DR estimator, making it infeasible in causal effect estimation and introducing a heavy computational burden in nuisance function estimation. To address these challenges, we propose a kernel-based DR estimator that can well handle continuous treatments for proximal causal learning. Equipped with its smoothness, we show that its oracle form is a consistent approximation of the influence function. Further, we propose a new approach to efficiently solve the nuisance functions. We then provide a comprehensive convergence analysis in terms of the mean square error. We demonstrate the utility of our estimator on synthetic datasets and real-world applications1 Copyright © 2023, The Authors. All rights reserved.

关键词： Mean square error

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Seat Occupancy Detection in Electric Vehicles: Unveiling Passenger Presence through Overlap Area Analysis

Seat Occupancy Detection in Electric Vehicles: Unveiling Pas...

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International Electronics Symposium (IES)

作者： Alivia Haris Alfan Rizaldy Pratama Bima Sena Bayu Dewantara Dadet Pramadihanto Center for Research and Innovation on Advanced Transportation Electrification Politeknik Elektronika Negeri Surabaya Surabaya Indonesia Data Science Department Faculty of Computer Science Universitas Pembangunan Nasional Veteran Jawa Timur Surabaya Indonesia Department of Informatics and Computer Engineering Politeknik Elektronika Negeri Surabaya Surabaya Indonesia

ISBN: (数字)9798350391992

ISBN: (纸本)9798350392005

The high number of bus passengers often leads to situations where some passengers are unable to secure a seat, resulting in the inconvenience of standing for the whole ride or wasting time waiting at the bus stop. To address this issue, this paper aims to develop a system capable of detecting bus seat occupancy, differentiating between occupied and unoccupied seats by passengers to inform potential passengers if seats are available before they take the next bus and help the government monitor its citizen and improve its public transportation services. The system uses a YOLO algorithm to perform object detection, enabling it to detect passengers, and an overlap percentage formula between passenger and seat bounding box to determine if the detected passenger is occupying the seat. The system provides real-time video output with texts indicating the total number of current passengers, total boarded passengers, also occupied and unoccupied seats. The system achieves accuracy of 95% for the front seat section and 92% for the back seat section.

关键词： YOLO Accuracy Government Streaming media Electric vehicles Real-time systems Distance measurement

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Recent advances on environmental corrosion behavior and mechanism of high-entropy alloys

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Journal of Materials science & Technology 2021年第21期80卷 217-233页

作者： Yu Fu Jun Li Hong Luo Cuiwei Du Xiaogang Li Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijingJ 00083China Key Laboratory for Corrosion and Protection of The Ministry of Education(MOE) Beijing100083China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing100083China National Materials Corrosion and Protection Scientific Data Center Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing100083China BRI Southeast Asia Network for Corrosion and Protection(MOE) Shunde Graduate School of University of Science and Technology BeijingFoshan528000China

In the past decade, the sudden rise of high-entropy alloys(HEAs) has become a research hotspot in the domain of metal materials. HEAs break through the design concept of traditional single-principal element alloys, and the four core effects, especially the high entropy and cocktail effects, make HEAs exhibit much better corrosion resistance than traditional corrosion-resistant metal materials, e.g., stainless steels, copper-nickel alloys, and high-nickel alloys. Currently, the corrosion resistance of HEAs causes great concern in the field of corrosion research. This article reviews the corrosion behavior and mechanism of HEAs in various aqueous solutions, revealing the correlation among the composition, microstructure and corrosion resistance of HEAs, and elaborates the influence of heat treatment, anodizing treatment and preparation methods on the corrosion behavior of HEAs. This knowledge will benefit the on-demand design of corrosion-resistant HEAs, which is an important trend of future development. Finally, perspectives regarding the corrosion research of HEAs are outlined to guide future studies.

关键词： High-entropy alloys Corrosion behavior Corrosion mechanism Passive film Alloy design

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The Warm Arctic-Cold Eurasia Pattern and Its Key Region in Winter in CMIP6 Model Simulations

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Advances in Atmospheric sciences 2023年第12期40卷 2138-2153,I0002-I0006页

作者： Liang ZHAO Yunwen LIU Yihui DING Qingquan LI Wei DONG Xinyong SHEN Wei CHENG Haoxin YAO Ziniu XIAO State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China Neijiang Meteorological Bureau Neijiang 641000China China Meteorological Administration National Climate CenterBeijing 100081China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth SciencesZhejiang UniversityHangzhou 310058China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Beijing Institute of the Applied Meteorology Beijing 100029China

An enhanced Warm Arctic-Cold Eurasia(WACE)pattern has been a notable feature in recent winters of the Northern ***,divergent results between model and observational studies of the WACE still *** study evaluates the performance of 39 climate models participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)in simulating the WACE pattern in winter of 1980-2014 and explores the key factors causing the differences in the simulation capability among the *** results show that the multimodel ensemble(MME)can better simulate the spatial distribution of the WACE pattern than most single *** that can/cannot simulate both the climatology and the standard deviation of the Eurasian winter surface air temperature well,especially the latter,usually can/cannot simulate the WACE pattern *** mainly results from the different abilities of the models to simulate the range and intensity of the warm anomaly in the Barents Sea-Kara seas(BKS)*** analysis shows that a good performance of the models in the BKS area is usually related to their ability to simulate location and persistence of Ural blocking(UB),which can transport heat to the BKS region,causing the warm Arctic,and strengthen the westerly trough downstream,cooling central ***,simulation of UB is key and significantly affects the model’s performance in simulating the WACE.

关键词： warm Arctic-cold Eurasia pattern Arctic amplification CMIP6 simulation evaluation extreme climate blocking highs

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The Adsorption and Separation of Tungsten and Molybdenum by Chitosan and Chitosan-D301: Experiments and Dft Theoretical Calculation

SSRN

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SSRN 2024年

作者： Chen, Na Ma, Liwen Xi, Xiaoli Nie, Zuoren Collaborative Innovation Center of Capital Resource-Recycling Material Technology College of Materials Science and Engineering Beijing University of Technology Beijing100124 China Key Laboratory of Advanced Functional Materials Ministry of Education College of Materials Science and Engineering Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology College of Materials Science and Engineering Beijing University of Technology Beijing100124 China

The adsorption and separation of tungsten and molybdenum are important for efficient recycling of W-Mo secondary resources. The sustainable development of them requires new green and efficient materials. In this paper, Chitosan (CS)-D301 material was obtained by impregnation method, CS and CS-D301 were applied to the adsorption and separation of W and Mo. The adsorption optimization results indicated that W was adsorbed by CS and CS-D301 adsorbents, the separation factor of W/Mo for CS-D301 increased from 21.34 to 26.45compared to CS. The desorption efficiency was still above 94% after five adsorption-desorption cycles. The adsorption energy of the adsorbent was calculated using density functional theory, which belongs to the chemical adsorption behavior. FT-IR, XPS and DFT theoretical calculations indicated that as the surface group N+-R of CS-D301 showed more affinity for W, making it easier to selectively separate W and Mo than CS. It was also found that N is the surface active adsorption site, and belongs to stable chemical adsorption processes. CS-D301 had stronger interaction with W from the Frontier orbital theory. CS and CS-D301 adsorbents were expected to become green adsorbent materials for efficient separation of W and Mo to support resource protection and sustainable development. © 2024, The Authors. All rights reserved.

关键词： Adsorption

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