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Advanced Algorithms and Control Engineering (ICAACE), International Conference on

作者： Dapeng Yan Chongzhi Bai Lian He Gangyi Ding Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

Traditional social force models are capable of simulating various types of crowds, but due to their reliance on a single formula and simplified parameter control, they often lack realism when applied to crowd scenes. The integration of deep learning with social force models has already achieved success in pedestrian simulation tasks in specific scenarios, yet research in more generalized scenes is still lacking. Therefore, we have used deep learning in conjunction with social force models to construct crowd simulations in various scenarios. This model is based on the dynamics of crowd trajectories and refines key parameters of the social force model using deep learning methods. Experimental results prove that this model can effectively adapt to diverse environments different from the scenes on which the training data is based.

关键词： Deep learning Training Adaptation models Pedestrians Force Training data Emergency services

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SES-SFM: A Heterogeneous Crowd simulation Model with Emotional Contagion

SES-SFM: A Heterogeneous Crowd Simulation Model with Emotion...

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Electronic technology and Information Science (ICETIS), International Conference on

作者： Chongzhi Bai Jiahui Lv Dapeng Yan Yunru Zhang Gangyi Ding Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9798350388343

ISBN: (纸本)9798350388350

Addressing the issues of authenticity and complexity that are lacking in current homogenized crowd models, as well as the insufficiency in granularity of emotional heterogeneity methods leading to a lack of diversity, this paper proposes a heterogeneous crowd modeling approach. Referred to the Susceptible Infected Susceptible (SIS) model, a fine-grained emotional contagion model: Susceptible Emotional Susceptible (SES) is introduced. Combined the A * navigation algorithm, it is integrated with existing crowd modeling techniques to propose the Susceptible Emotional Susceptible-Social Force Model (SES-SFM). We have demonstrated the sensitivity relationship between the basic reproductive number $RO$ and the parameters within the SES model through our experiments. In comparative experiments, our model demonstrated superior collision resolution capabilities, operated more smoothly, and did not introduce excessive computational overhead when compared to traditional SFM. In simulation experiments, we have established the correlation between emotional factors and crowd behavior, thereby enriching the dynamics of crowd behavior. Consequently, we have made theoretical contributions to the field of crowd modeling techniques and the domain of emotional contagion.

关键词： Analytical models Information science Sensitivity Correlation Navigation Computational modeling Force

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A Method of Constructing Fine-Grained Pose Evaluation Model 1

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18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Song, Zhen Zhang, Longfei Li, Haoyu Wu, Yufeng Ding, Gangyi Advanced Research Center for Digitalization of Traditional Drama of The Central Academy of Drama Beijing100710 China Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing100081 China

ISBN: (数字)9789819901050

ISBN: (纸本)9789819901043

In the field of computer vision, human pose estimation (HPE) is an important direction. However, in some fields that require professional actions or motions, researchers will deal with poses with high diversity, strongly instantaneous actions and complex behaviors, and with problems such as lack of enough dataset, algorithm iteration lag, and poor robustness, it is difficult for conventional CV methods to recognize many kinds of poses well. Aiming to the problems above, we propose a method of training fine-grained pose estimation model and building pose dataset based multi-views in this paper. And during the work, we use the operation of filtering as optimization approach to improve the accuracy of results. By filtering data, those wrongly recognized key points can be corrected to some extent and the missing key points or poses can be estimated based on the continuity of motion. The filter method can also improve the smoothness of curve, so the pose sequences can be more fluent and conform the kinetics after the operation. Meanwhile, there sometimes may be errors about the results of 3D pose reconstruction based on 2D pose because of occlusions, changes of environment. In this situation, choosing 2D pose results from appropriate views instead of all the views can also improve the accuracy of final results. Moreover, for the environment with several persons, we finish the work of matching human cross-different views by combining with the method of predicting depths of root key points. From the experiments, the method can increase the average precision (AP) up to 2.2%, which demonstrate the feasibility and reusability of our method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reusability

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Comparison of displacement damage effects on the dark signal in CMOS image sensors induced by CSNS back-n and XAPR neutrons

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Nuclear Science and Techniques 2024年第10期35卷 29-40页

作者： Yuan-Yuan Xue Zu-Jun Wang Wu-Ying Ma Min-Bo Liu Bao-Ping He Shi-Long Gou State Key Laboratory of Intense Pulsed Irradiation Simulation and Effect Northwest Institute of Nuclear TechnologyXi’an 710024China State Key Laboratory of Artificial Microstructure and Microscopic Physics School of Physics Peking UniversityBeijing 100871China

This study investigates the effects of displacement damage on the dark signal of a pinned photodiode CMOS image sensor(CIS)following irradiation with back-streaming white neutrons from white neutron sources at the China spallation neutron source(CSNS)and Xi'an pulsed reactor(XAPR).The mean dark signal,dark signal non-uniformity(DSNU),dark signal distribution,and hot pixels of the CIS were compared between the CSNS back-n and XAPR neutron *** nonionizing energy loss and energy distribution of primary knock-on atoms in silicon,induced by neutrons,were calculated using the open-source package *** analysis combining experimental and simulation results showed a noticeable proportionality between the increase in the mean dark signal and the displacement damage dose(DDD).Additionally,neutron energies influence DSNU,dark signal distribution,and hot *** neutron energies at the same DDD level may lead to pronounced dark signal non-uniformity and elevated hot pixel values.

关键词： Displacement damage effects CMOS image sensor(CIS) CSNS back-n XAPR neutrons Geant4 Dark signal non-uniformity(DSNU)

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Exploring impact of street layout on urban flood risk of people and vehicles under extreme rainfall based on numerical experiments

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Science China(Technological Sciences) 2023年第9期66卷 2561-2574页

作者： MEI Chao LIU JiaHong SHI HongYuan WANG Hao WANG Jia DONG LiRong SONG TianXu ZHANG HaiJia State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China Key Laboratory of River Basin Digital Twinning of Ministry of Water Resources(Preparation) Beijing 100038China Beijing Key Laboratory of Urban Water Cycle and Sponge City Technology Beijing Normal UniversityBeijing 100875China

Urban street layout is an important factor in the formation process, characteristics, and risk level of urban flooding;therefore, this study numerically investigates the impact of street layout on urban flood risk to people and vehicles. Four typical street-layout scenarios with areas of 3 km × 3 km are established based on a block-scale investigation. The layout types are regular grid,irregular grid, radial, and annular. Urban inundation models are then constructed for these typical street layouts based on the twodimensional(2D) hydrodynamic method. Two historic, extreme rainfall events, which occurred in beijing on July 21, 2012 and in Zhengzhou on July 20, 2021, are used as rainstorm scenarios for urban inundation modelling. The flood risks to people and vehicles are then calculated. Results show that, for an extreme rainstorm on the block scale, the street layout impacts the spatial and temporal distributions of the inundation variables, which include the water depth, flow velocity, flood volume, and inundated area. Moreover, for the same extreme-rainfall scenario, the greatest differences in the total flood volume, maximum street-water depth, and maximum street-flow velocity caused by street-layout differences are 17.22%, 60.25%, and 61.50%, *** the four street layouts considered in this study, the annular street layout exhibits the lowest degrees of inundation and flood risk. For the same extreme-rainfall scenario, the proportions of high-risk road sections for adults and children in this layout are 58.89% and 62.28% smaller than those for the layout with the largest proportion of high-risk road sections, respectively;the proportions of high-risk road sections for the Honda Accord and Audi Q7 were 55.31% and 53.04% smaller, respectively. The findings of this study may aid scientific understanding and development of “flood-sensitive” block-scale street layouts and urban planning in the context of the changing environment.

关键词： urban inundation street layout urban form flood risk hydrodynamic simulation

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Improved Evolutionary Multitasking Optimization Algorithm With Similarity Evaluation of Search Behavior

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IEEE Transactions on Evolutionary Computation 2024年第3期29卷 1-1页

作者： Wu, Xiaolong Wang, Wei Zhang, Tengfei Han, Honggui Qiao, Junfei Beijing Key Laboratory of Computational Intelligence and Intelligent System Engineering Research Center of Digital Community Ministry of Education Beijing Artificial Intelligence Institute and Beijing Laboratory for Intelligent Environmental Protection Faculty of Information Technology Beijing University of Technology Beijing China

Task similarity is a major requisite to trigger knowledge sharing in evolutionary multitasking optimization (EMTO). Unfortunately, most of the existing EMTO algorithms only focus on the similarity between population distributions of tasks, but ignore the search behavior of populations, which may degrade the performance of cross-task knowledge sharing. Motivated by this, an improved EMTO algorithm with similarity evaluation of search behavior (SESB-IEMTO), employing the particle swarm optimization (PSO) algorithm as a task solver for each task, is proposed. It comprises three key elements: 1) a dynamic similarity-based evaluation strategy, 2) a cross-task knowledge adaptation method, and 3) a search direction sharing mechanism. Primarily, the source tasks with similar search behavior are discriminated with the dynamic similarity-based evaluation strategy, where individuals can be fully exploited for cross-task evolution. Then, the knowledge derived from these source tasks is regulated by the cross-task knowledge adaption method for alleviating the risk of negative transfer caused by the heterogeneity between tasks. Moreover, to further promote knowledge sharing between tasks, the search direction sharing mechanism is developed to navigate tasks efficiently searching for promising regions. Finally, the convergence of SESB-IEMTO is analyzed, and the effectiveness and superiority are also verified with the experiments on several benchmark tests and a real-world application study. IEEE

关键词： Multitasking

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HVAC energy consumption prediction based on RJITL deep neural network model

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 9029-9042页

作者： Li, Xiaoli Du, Linhui Yu, Xiaowei Wang, Kang Hu, Yongkang Faculty of Information Technology Beijing University of Technology Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Advanced Innovation Center for Future Internet Technology Beijing University of Technology Beijing China Engineering Research Center of Digital Community Ministry of Education Beijing University of Technology Beijing China Instrumentation Technology Economy Institute Beijing China

During the operation of HVAC (Heating, Ventilation, and Air-Conditioning) systems, precise energy consumption prediction plays an important role in achieving energy savings and optimizing system performance. However, the HVAC system is a complex and dynamic system characterized by a large number of variables that exhibit significant changes over time. Therefore, it is inadequate to rely on a fixed offline model to adapt to the dynamic changes in the system that consume tremendous computation time. To solve this problem, a deep neural network (DNN) model based on Just-in-Time learning with hyperparameter R (RJITL) is proposed in this paper to predict HVAC energy consumption. Firstly, relevant samples are selected using Euclidean distance weighted by Spearman coefficients. Subsequently, local models are constructed using deep neural networks supplemented with optimization techniques to enable real-Time rolling energy consumption prediction. Then, the ensemble JITL model mitigates the influence of local features, and improves prediction accuracy. Finally, the local models can be adaptively updated to reduce the training time of the overall model by defining the update rule (hyperparameter R) for the JITL model. Experimental results on energy consumption prediction for the HVAC system show that the proposed DNN-RJITL method achieves an average improvement of 5.17% in accuracy and 41.72% in speed compared to traditional methods. © 2024-IOS Press. All rights reserved.

关键词： Energy utilization

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Remarkable improved strength and ductility in brittle eutectic high-entropy alloy via a novel spheroidization and recrystallization strategy

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Journal of Materials Science & technology 2024年第20期187卷 177-187页

作者： Lingkun Zhang Rui Huang Fengrui Zhou Abdukadir Amar Hongwei Yan Yongan Zhang Yiping Lu Key Laboratory of Solidification Control and Digital Preparation Technology(Liaoning Province) School of Materials Science and EngineeringDalian University of TechnologyDalian 116024China State Key Laboratory of Nonferrous Metals and Processes GRINM Group Co.LTDBeijing 100088China General Research Institute for Nonferrous Metals Beijing 100088China

Eutectic high-entropy alloys(EHEAs),as a classification of high-entropy alloys(HEAs),have received worldwide interest due to superior fluidity and attractive ***,other than the FCC+B2 EHEA system,most other reported EHEA systems show inherent brittleness during tensile loading at room temperature,which limits their advanced engineering *** this work,a novel spheroidization+recrystallization(SR)strategy for synergistic strengthening and plasticizing of the brit-tle CoCrFeNi_(2)(V_(6)B_(3)Si)_(0.149)was *** superior combination of strength and ductility was achieved by tailoring spherical M3 B2+recrystallized FCC duplex *** on this strategy,the yield strength and elongation were improved from 565±15 MPa and 2.3%±0.3%to 841±24-1278±20 MPa and 14.7%±0.5%-22.5%±1.2%,with an increase of 48%-126%and 539%-878%,*** synergistic increment in the strength and ductility of SR-FCC+M_(3)B_(2)EHEAs exceeds all reported fur-ther strengthened FCC+B2 ***,such simple thermo-mechanical processing is suitable for large-scale industrial *** high strength results from the back stress provided by the dual heterogeneity of FCC grain sizes and soft FCC/hard M_(3)B_(2).The good ductility is attributed to the dislo-cation movement path released by spheroidized M3 B2 and a more uniform stress distribution caused by the recrystallized *** work provides a new strategy for synergistic strengthening and plasticizing of the brittle EHEAs to meet industrial reliability requirements.

关键词： Eutectic high-entropy alloys Spheroidization Recrystallization Strength Ductility

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Experimental determination of stripping foil thickness on the XiPAF synchrotron

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Nuclear Science and Techniques 2025年第3期36卷 27-37页

作者： Xiao-Yu Liu Hong-Juan Yao Shu-Xin Zheng Ze-Jiang Wang Yang Xiong Pei-Zhi Fang Zhong-Ming Wang Key Laboratory of Particle&Radiation Imaging Tsinghua UniversityBeijing 100084China Laboratory for Advanced Radiation Sources and Application Tsinghua UniversityBeijing 100084China Department of Engineering Physics Tsinghua UniversityBeijing 100084China National Key Laboratory of Intense Pulsed Radiation Simulation and Effect Northwest Institute of Nuclear TechnologyXi’an 710024China

Stripping injection overcomes the limitations of Liouville's theorem and is widely used for beam injection and accumulation in high-intensity *** interaction between the stripping foil and beam is crucial in the study of stripping injection,particularly in low-energy stripping injection synchrotrons,such as the XiPAF *** foil thickness is the main parameter that affects the properties of the beam after *** thin stripping foil is reinforced with collodion during its ***,the collodion on the foil surface makes it difficult to determine its equivalent thickness,because the mechanical measurements are not sufficiently reliable or convenient for continuously determining foil *** propose an online stripping foil thickness measurement method based on the ionization energy loss effect,which is suitable for any foil thickness and does not require additional *** studies were conducted using the XiPAF *** limitation of this method was examined,and the results were verified by comparing the experimentally obtained beam current accumulation curves with the simulation *** confirms the accuracy and reliability of the proposed method for measuring the stripping foil thickness.

关键词： Stripping injection Foil thickness Synchrotron Injection efficiency Experimental study

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Intake of tobacco nitrosamines of smokers in various provinces of China and their cancer risk:A meta-analysis

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Journal of Environmental Sciences 2024年第7期141卷 249-260页

作者： Xiao Li Zhiwei Ye Jun Wang Pengfei Lin Xiaojin Zhang Shuguang Xie Chao Chen Research Institute for Environmental Innovation(Suzhou) TsinghuaSuzhouJiangsu 215163China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Shenzhen Key Laboratory of Organic Pollution Prevention and Control State Key Laboratory of Urban Water Resource and EnvironmentHarbin Institute of TechnologyShenzhen 518055China State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Science and EngineeringPeking UniversityBeijing 100871China

Nitrosamines are a class of carcinogens which have been detected widely in food,water,some pharmaceuticals as well as *** objectives of this paper include reviewing the basic information on tobacco consumption and nitrosamine contents,and assessing the health risks of tobacco nitrosamines exposure to Chinese *** searched the publications in English from“Web of Science”and those in Chinese from the“China National Knowledge Infrastructure”in 2022 and collected 151 literatures with valid *** content of main nitrosamines in tobacco,including 4-(methylnitrosoamino)-1-(3-pyridyl)-1-butanone(NNK),N-nitrosonornicotine(NNN),N-nitrosoanatabine(NAT),N-nitrosoanabasine(NAB),total tobacco-specific nitrosamines(TSNA),and N-nitrosodimethylamine(NDMA)were *** information of daily tobacco consumption of smokers in 30 provinces of China was also ***,the intakes of NNN,NNK,NAT,NAB,TSNAs,and NDMA via tobacco smoke were estimated as 1534ng/day,591 ng/day,685 ng/day,81 ng/day,2543 ng/day,and 484 ng/day by adult smokers in30 provinces,*** cancer risk(CR)values for NNN and NNK inhalation intake were further calculated as 1.44×10^(-5)and 1.95×10^(-4).The CR value for NDMA intake via tobacco smoke(inhalation:1.66×10^(-4))indicates that NDMA is similarly dangerous in tobacco smoke when compared with the *** China,the CR values caused by average nitrosamines intake via various exposures and their order can be estimated as the following:smoke(3.75×10^(-4))>food(1.74×10^(-4))>drinking water(1.38×10^(-5)).Smokers in China averagely suffer 200%of extra cancer risk caused by nitrosamines in tobacco when compared with non-smokers.

关键词： N-nitrosamine Tobacco Cancer risk Tobacco specific nitrosamines(TSNAs) N-nitrosodimethylamine(NDMA)

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