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15th EAI International Conference on simulation Tools and Techniques, SIMUTools 2023

作者： Yang, Fan Ma, Ping Zhang, Jianchao Cheng, Huichuan Li, Wei Yang, Ming Control and Simulation Center Harbin Institute of Technology Harbin150080 China National Key Laboratory of Complex System Modeling and Simulation Harbin150080 China Chinese Aeroengine Research Institute Beijing101304 China

ISBN: (纸本)9783031575228

To validate the alternative simulation models and select the most credible one when the models have multivariate and correlated outputs, an intelligent ranking evaluation method of simulation models based on Graph Neural Network (GNN) is proposed. The process of ranking evaluation is divided into three parts: graph structure conversion for evaluation data, feature extraction based on Graph Representation Learning (GRL) and ranking evaluation based on feature distance. A graph structure modeling method is presented to provide the pre-define graph structure for further GRL primarily. Next the interdependencies and dynamic evolutionary patterns among variables are captured by GNN so that the graph representations of evaluation data can be obtained. Then ranking evaluation is achieved by similarity measurement of the graph representations. In the end, the effectiveness of the proposed method on feature extraction of evaluation data and simulation models ranking is illustrated through an application example on a prediction model for aerodynamic parameters of a certain flight vehicle. © ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Feature extraction

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A rear-end collision risk assessment model based on drivers’ collision avoidance process under influences of cell phone use and gender—A driving simulator based study

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Accident Analysis and Prevention 2016年 97卷 1-18页

作者： Li, Xiaomeng Yan, Xuedong Wu, Jiawei Radwan, Essam Zhang, Yuting MOE Key Laboratory for Urban Transportation Complex System Theory and Technology School of Traffic and Transportation Beijing Jiaotong University Beijing100044 China Center for Advanced Transportation System Simulation Department of Civil Environment Construction Engineering University of Central Florida OrlandoFL United States

Driver's collision avoidance performance has a direct link to the collision risk and crash severity. Previous studies demonstrated that the distracted driving, such as using a cell phone while driving, disrupted the driver's performance on road. This study aimed to investigate the manner and extent to which cell phone use and driver's gender affected driving performance and collision risk in a rear-end collision avoidance process. Forty-two licensed drivers completed the driving simulation experiment in three phone use conditions: no phone use, hands-free, and hand-held, in which the drivers drove in a car-following situation with potential rear-end collision risks caused by the leading vehicle's sudden deceleration. Based on the experiment data, a rear-end collision risk assessment model was developed to assess the influence of cell phone use and driver's gender. The cell phone use and driver's gender were found to be significant factors that affected the braking performances in the rear-end collision avoidance process, including the brake reaction time, the deceleration adjusting time and the maximum deceleration rate. The minimum headway distance between the leading vehicle and the simulator during the rear-end collision avoidance process was the final output variable, which could be used to measure the rear-end collision risk and judge whether a collision occurred. The results showed that although cell phone use drivers took some compensatory behaviors in the collision avoidance process to reduce the mental workload, the collision risk in cell phone use conditions was still higher than that without the phone use. More importantly, the results proved that the hands-free condition did not eliminate the safety problem associated with distracted driving because it impaired the driving performance in the same way as much as the use of hand-held phones. In addition, the gender effect indicated that although female drivers had longer reaction time than male drivers in

关键词： Collision avoidance

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A Light Source system of Multi-star Simulator with Adjustable Background and Controllable Magnitude

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空间科学学报 2017年第6期37卷 760-765页

作者： SUN Gaofei LIU Shi ZHANG Guoyu ZHANG Yu LEI Jie MA Yiyuan College of Optoelectronic Engineering Changchun University of Science and Technology Changchun 130022 Optical Measurement and Control Instrumentation Jilin Province Engineering Research Center Changchun 130022 Key Laboratory of Space System Simulation Beijing 100853

A light source of multi-star simulator capable of background adjustment and magnitude control has been *** integrating spheres are employed as the star-point light source and the background light source respectively.A beam splitter prism has been designed to serve as the beam combiner for the star-point and the background light sources,and a mathematical model has been constructed respectively to compute the light flux of the two integrating spheres.A magnitude testing system and a background testing system have been created using low-light illuminometer,luminance meter,and testing instruments to measure the star-point magnitude and the background luminance of the multi-star *** test results suggest that the star-point magnitude is adjustable from0 to+5 m_v,with a simulation precision superior to ±0.026 m_*** maximum background luminance is 3.8×10~5 cd·m^(-2),and the minimum background luminance is6.4×10^(-2)cd·m^(-2).The designed light source system can meet the requirements for simulating the stellar map with a sky background.

关键词： Adjustable background Controllable magnitude Multi-Star simulator Light source

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Data augmentation of SAR sensor image via information maximizing generative adversarial net 4

Data augmentation of SAR sensor image via information maximi...

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4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Xie, Dan Ma, Jing Li, Yibing Liu, Xinrui College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Science and Technology on Special System Simulation Laboratory Beijing100854 China

ISBN: (纸本)9781665432030

In practical applications, the SAR image dataset is always insufficient and lacks sample diversity. Generative adversarial nets(GANs) have been widely used to address the problem of insufficient data. However, owing to no restriction on input noise, the generated images are highly random and lack diversity. The paper proposes a data augmentation method based on the information maximizing GAN to generate samples purposefully. The proposed method is realized by using information-theoretic to extend the GAN, maximizing the mutual information between the observations and a fixed subset of noise variables. Finally, it finds out a highly semantic and meaningful hidden representation information in the SAR image and thus increases the sample diversity. The experiment results based on the MSTAD data illustrate the proposed method can effectively improve the robustness and accuracy of the classifier especially for the limited training dataset. ©2021 IEEE

关键词： Generative adversarial networks

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D2D communication relay selection strategy based on two-hop social relationship 4

D2D communication relay selection strategy based on two-hop ...

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4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Wang, Jinling Ma, Jing Li, Yibing Liu, Xinrui College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Science and Technology on Special System Simulation Laboratory Beijing100854 China

ISBN: (纸本)9781665432030

Relay-assisted D2D communication can expand the communication range and improve the spectrum efficiency. However, most relay selection algorithms only consider single-hop information between transmitter and relay. To obtain better communication quality, we propose an Improved Relay Selection Strategy based on the Two-hop Social Relationship which not only considers the social relationship of transmitter-to-relay, but also the social relationship of relay-to-receiver. Besides, we combine the social awareness and channel state information to define the social relationship. The strategy determines the candidate relays according to the maximum D2D communication distance firstly, and then selects the optimal relay among candidate ones based on Two-hop Social Relationship (THSR). The simulation results show that the proposed algorithm can significantly improve the system throughput. ©2021 IEEE

关键词： Transmitters

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Radar signal recognition based on deep residual network with attention mechanism 4

Radar signal recognition based on deep residual network with...

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4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Jin, Xiaolin Ma, Jing Ye, Fang College of Infomation and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Beijing100854 China Science and Technology on Special System Simulation Laboratory Beijing100854 China

ISBN: (纸本)9781665432030

To address the problem of poor recognition success rate (RSR) of low probability of intercept (LPI) radar signals such as polyphase codes at low signal-to-noise ratio (SNR), In this paper, we propose a method of deep neural network with attention mechanism for modulation recognition of radar signals. The method first transforms the received radar signal into a two-dimensional time-frequency image(TFI), and then we obtain a binary time-frequency image by threshold segmentation，and resize TFIs through bicubic interpolation. While a deep residual network with Convolutional Block Attention Module (CBAM) is designed to recognize the radar signals. We take advantage of the attention mechanism to find the effective feature information in the noise and increase the effective information weight to further improve the recognition success rate of radar signals under low SNR. Finally, the average RSR of the method is nearly 96% for 7 signals at -6dB. © 2021 IEEE

关键词： Deep neural networks

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The enhanced role of formic acid on sulfuric acid-ammonia-driven nucleation in forest regions and polluted city areas

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Journal of Environmental sciences 2025年

作者： Shasha Chen Rongrong Li Chengyan Zhang Shuqin Wei Rui Wang Biwu Chu Xiaomeng Zhang Hao Li Tianlei Zhang Institute of Theoretical and Computational Chemistry Shaanxi Key Laboratory of Catalysis School of Chemical and Environment Science Shaanxi University of Technology Hanzhong 723001 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-environmental Sciences Chinese Academy of Sciences Beijing 100085 China

Formic acid (FA) is particularly prominent for its ubiquity and structural simplicity among atmospheric organic acids, and exerts a significant influence on atmospheric acidity. However, the potential contribution of FA to the primary stage of new particle formation (NPF) remains unclear. Herein, molecular dynamics (MD), density functional theory (DFT) and the atmospheric cluster dynamics code (ACDC) model have been utilized to evaluate the mechanism of FA participation in atmospheric SA (sulfuric acid)-A (ammonia) clusters. The MD simulations qualitatively suggest that FA can aggregate with SA and A to form larger clusters, and the aggregation time of the largest clusters decreases as the temperature decreases. The DFT and ACDC findings indicate that the ternary SA-A-FA system is thermodynamically more stable at low temperatures (238.15 K). Simultaneously, in regions with low temperatures, high [FA] (10 11 molecules/cm 3 ), low [SA] (10 6 molecules/cm 3 ) and high [A] (10 11 molecules/cm 3 ), FA significantly enhances SA-A cluster formation rates. The low-temperature NPF mechanism implies that FA could facilitate the growth of pure SA-A clusters via a “catalytic” mechanism and play an integral role in the genesis of critical clusters as a “participant”. This dual role differs from the “catalytic” role exhibited by malonic and glycolic acids in our previous studies. This discovery could help identify the sources of unexplained NPFs in regions with high FA concentrations, such as densely forested areas with abundant vegetation, regions affected by biomass burning, or periods with elevated vehicle exhaust emissions and the release of volatile organic compounds like isoprene and terpenoids.

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The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents

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National science Review 2021年第3期8卷 140-150页

作者： Hao Wu Zhanqing Li Hanqing Li Kun Luo Yuying Wang Peng Yan Fei Hu Fang Zhang Yele Sun Dongjie Shang Chunsheng Liang Dongmei Zhang Jing Wei Tong Wu Xiaoai Jin Xinxin Fan Maureen Cribb Marc L.Fischer Markku Kulmala Tuukka Pet?j? State Key Laboratory of Remote Sensing Science College of Global Change and Earth System ScienceBeijing Normal University ESSIC and Department of Atmospheric Science University of MarylandCollege Park State Key Laboratory of Clean Energy Utilization Zhejiang University School of Atmospheric Physics Nanjing University of Information Science and Technology Meteorological Observation Center China Meteorological Administration State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Lawrence Berkeley National Laboratory Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of Helsinki Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric Sciences Nanjing University

A new mechanism of new particle formation(NPF) is investigated using comprehensive measurements of aerosol physicochemical quantities and meteorological variables made in three continents,including beijing,China;the Southern Great Plains site in the USA;and SMEAR Ⅱ Station in Hyytiala,Finland.D espite the considerably different emissions of chemical species among the sites,a common relationship was found between the characteristics of NPF and the stability *** stability parameter(ζ=Z/L,where Z is the height above ground and L is the Monin-Obukhov length) is found to play an important role;it drops significantly before NPF as the atmosphere becomes more unstable,which may serve as an indicator of nucleation *** the atmosphere becomes unstable,the NPF duration is closely related to the tendency for turbulence development,which influences the evolution of the condensation ***,the unstable atmosphere may dilute pre-existing particles,effectively reducing the condensation sink,especially at coarse mode to foster *** new mechanism is confirmed by model simulations using a molecular dynamic model that mimics the impact of turbulence development on nucleation by inducing and intensifying homogeneous nucleation events.

关键词： new particle formation turbulence development molecular dynamic

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A Robust Path Following Controller for a Small Unmanned Aerial Vehicle with Constrained Parameters Optimized

A Robust Path Following Controller for a Small Unmanned Aeri...

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International Conference on Information science and Control Engineering (ICISCE)

作者： Yang Chen Chaolei Wang School of Mechanical and Electrical Engineering Longyan University Longyan China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing China

ISBN: (纸本)9781509025367

This paper proposes a nonlinear controller that allows the unmanned air vehicle (UAV) to follow a predefined path. The controller only needs the information of the inertial speed of the UAV and the distance between the vehicle and the desired path. In order to improve the performance of the controller, a parameter of the controller is optimized by using the concept of model predictive control (MPC). Lyapunov stability arguments are used to demonstrate that the path following error will be regulated to zero, even in the presence of wind disturbances. simulation results in Matlab are given to show the effectiveness of the controller. The simulation results show that the proposed path following controller with parameter optimized by MPC (PLC_MPC) which takes the advantages of the predictive ability of the MPC and the simple structure of the normal path following controller (PLC) has better path following performance than that by using the PLC method.

关键词： Unmanned aerial vehicles Mathematical model Optimization Stability analysis Trajectory Lyapunov methods

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Cross-stacked super-aligned carbon nanotube/activated carbon composite electrodes for efficient water purification via capacitive deionization enhanced ultrafiltration

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Frontiers of Environmental science & Engineering 2020年第6期14卷 181-190页

作者： Min Li Shuai Liang Yang Wu Meiyue Yang Xia Huang Beijing Key Laboratory for Source Control Technology of Water Pollution College of Environmental Science and EngineeringBeijing Forestry UniversityBeijing 100083China Department of Mechanical Engineering and Tsinghua Foxconn Nanotechnology Research Center Tsinghua UniversityBeijing 100084China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China

The practical application of the capacitive deionization(CDI)enhanced ultrafiltration(CUF)technology is hampered due to low performance of *** current study demonstrated a novel super-aligned carbon nanotube(SACNT)/activated carbon(AC)composite electrode,which was prepared through coating AC on a cross-stacked SACNT *** desalination capability and water purification performance of the prepared electrode were systematically investigated at different applied voltages(0.8-1.2 V)with a CDI system and a CUF system,*** the CDI tests,as compared with 5ie control AC electrode,the SACNT/AC electrode achieved an approximately 100%increase in both maximum salt adsorption capacity and average salt adsorption rate under all the applied voltage conditions,demonstrating a superior desalination ***,a conspicuous increase by an average of-26%in charge efficiency was also achieved at all the *** the CUF tests,as compared with the control run at 0 V,the treatment runs at 0.8,1.0,and 1.2 V achieved a 2.40-fold,2.08-fold,and 2.43-fold reduction in membrane fouling(calculated according to the final transmembrane pressure(TMP)data at the end of every purification stage),*** average TMP increasing rates at 0.8,1.0,and 1.2 V were also roughly two times smaller than that at 0 V,indicating a dramatical reduction of membrane *** SACNT/AC electrode also maintained its superior desalination capability in the CUF process,resulting in an overall improved water purification efficiency.

关键词： Carbon nanotube Super aligned Conductive membrane Capacitive deionization Ultrafiltration Desalination

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