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Research of simulation of creative stage scene based on the 3DGans technology

Journal of Information Hiding and Multimedia Signal Processing 2018年第6期9卷 1430-1443页

作者： Zhang, Fuquan Ding, Gangyi Lin, Qing Xu, Lin Li, Zuoyong Li, Lijie Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University School of Computer Science & Technology Beijing Institute of Technology Room A9-301 Juyuan Jinshan JiyuanFuzhou350008 China School of Computer Science & Technology Beijing Institute of Technology Room 611 Software Building 5 South Zhongguancun Street Haidian Beijing100081 China College of Foreign Languages Minjiang University Room 303 Building A13 No. 15 Binzhou road Cangshan district JiyuanFuzhou350008 China Innovative Information Industry Research Institute Fujian Normal University Fuqing Brunch of Fujian Normal University Campus County No.1 Longjiang Road FuqingFuzhou350300 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University 200 Xi-yuan-gong Road Room B201 Administrative Building Minhou350121 China School of Computer Science & Technology Beijing Institute of Technology Room 613 Software Building 5 South Zhongguancun Street Haidian Beijing100081 China

Aiming to the feature of the modern stage scenery, combined with 3DGANs technology, we make research into the creation of creative stage scenes to rapidly display problem scene design, reduce the cost of stage design and the data error of virtual and actual simulated effect of the stage. We improve the data of the creative stage scene at the beginning of the design to increase efficiency of the rehearsal stage to enable the simulation scene more intuitive to the displaying of the stage scene and provide the basis for dynamic management of the stage. In this paper, simulation of virtual reality stage scene will be realized through 3DGANs technology. Firstly, the stage data will be extracted and the data of the creative stage scene will be modified. Secondly, the data of the registration of 3D surface image data on the creative scene in the data will be modified by using genetic algorithm. Finally, the simulation experiments will be conducted by using 3DGANs technology to generate creative stage scenes. The results indicated that simulation of the creative stage scene generated by 3DGANs technology would synchronize with the real-time stage effect in which multi-thread processing can improve processor utilization, shorten the reading time of the video image data, effectively reduce the switching time between different tasks, improve the amount of the amount of throughput and concurrency system and to offer a key support for virtual simulation and dynamic management of stage creative scene based on the 3DGANs technology. © 2018, Ubiquitous International. All rights reserved.

关键词： Genetic algorithms

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H∞ control Design for an Interceptor with Blended Aerodynamic Surfaces and Direct Lateral Force 35

H∞ Control Design for an Interceptor with Blended Aerodynam...

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第35届中国控制会议

作者： SUN Sheng CAO Jie Wang qinwei CAI Gao Hua LIU JiaoLong Beijing Aerospace Automatic Control Institute National Key Laboratory of Science and Technology on Aerospace Intelligent Control

ISBN: (纸本)9781509009107

In this paper,an Hco control technique is introduced for the longitudinal model of an interceptor driven by aerodynamics surfaces and direct lateral *** appropriate weighting functions are selected in consideration of perturbation of the system parameters,an Hco controller is designed to stabilize the system with well ***,the Hco control system is compared with system designed by classical control method,which indicates that the Hco control system holds better dynamics performance and robustness.

关键词： Interceptor Hco control Direct lateral force Compound control

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A prediction model of edge gas flow development state based on BP neural network 5

A prediction model of edge gas flow development state based ...

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5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Zhang, Jialiang An, Jianqi Wu, Min Cao, Weihua School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Department of Computer Science School of Computing Tokyo Institute of Technology Yokohama226-8502 Japan

The development and distribution states of the blast furnace (BF) gas flow determine whether the reaction in the furnace can proceed normally and decide the utilization efficiency of the carbon in the furnace and the stable smooth operation of the furnace. The internal environment of BF is closed with high temperature and high pressure, which causes that the relationship between the development situation of edge gas flow of the BF and the BF operation is uncertain. In this paper, a prediction model of edge gas flow development state based on BP neural network (BPNN) is proposed, clarifying the relationship between the development state of edge gas flow and the edge burden parameters. Firstly, this paper gets the relative operation factors of effecting the development situation of edge gas flow through analyzing the process mechanism of the BF ironmaking, and proposes the development index of edge gas flow and the heat load of cooling stave to measure the development state of the edge gas flow. Secondly, the intrinsic correlation between the data is verified, and the data are analyzed by Spearman's rank correlation coefficient (SRCC) analysis. Finally, according to the analysis results, combined with the burden mechanism, the edge gas flow prediction model is established to realize the prediction of the development state of the edge gas flow. The calculation of the data collected in the metallurgy scene of the BF suggested that this prediction model of the edge gas flow development state of the BF could describe the relationship between BF operation parameters and the developing state of the edge gas flow.

关键词： Flow of gases

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Second-Order controllability of Multi-Agent Systems with Multiple Leaders

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Communications in Theoretical Physics 2016年第5期65卷 585-592页

作者：刘波史运涛苏厚胜韩潇 College of Science North China University of Technology Key Laboratory of Beijing for Field-Bus Technology & Automation North China University of Technology School of Automation Key Laboratory of Image Processing and Intelligent Control of Education Ministry of ChinaHuazhong University of Science and Technology

This paper proposes a new second-order continuous-time multi-agent model and analyzes the controllability of second-order multi-agent system with multiple leaders based on the asymmetric *** paper considers the more general case:velocity coupling topology is different from location coupling *** sufficient and necessary conditions are presented for the controllability of the system with multiple *** addition,the paper studies the controllability of the system with velocity damping *** results are given to illustrate the correctness of theoretical results.

关键词： controllability second-order multi-agent systems multiple leaders asymmetric topology

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Convergence of an Anisotropic Perfectly Matched Layer Method for Helmholtz Scattering Problems

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高等学校计算数学学报（英文版） 2016年第3期9卷 358-382页

作者： Chao Liang Xueshuang Xiang Science and Technology on Electronic Information Control Laboratory Chengdu 610036 China LSEC Institute of Computational Mathematics Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China Qian Xuesen Laboratory of Space Technology China Academy of Space Technology Beijing 100094 China

The anisotropic perfectly matched layer (APML) defines a continuous vector field outside a rectangle domain and performs the complex coordinate stretching along the vector *** by [*** et al.,Inverse ***.,7,(2013):663-678] and based on the idea of the shortest distance,we propose a new approach to construct the vector field which still allows us to prove the exponential decay of the stretched Green function without the constraint on the thickness of the PML ***,by using the reflection argument,we prove the stability of the PML problem in the PML layer and the convergence of the PML *** experiments are also included.

关键词： Anisotropic PML Helmholtz equation Reflection argument Exponential convergence

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Grain boundaries in chemical vapor deposited atomically thin hexagonal boron nitride

arXiv

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arXiv 2018年

作者： Ren, Xibiao Dong, Jichen Yang, Peng Li, Jidong Lu, Guangyuan Wu, Tianru Wang, Haomin Guo, Wanlin Zhang, Ze Ding, Feng Jin, Chuanhong State Key Laboratory of Silicon Materials School of Materials Science and Engineering Zhejiang University Hangzhou Zhejiang310027 China Centre for Multidimensional Carbon Materials Institute for Basic Science Ulsan44919 Korea Republic of State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China State Key Laboratory of Mechanics and Control of Mechanical Structures Key Laboratory of Intelligent Nano Materials and Devices of DoE Institute of Nano Science Nanjing University of Aeronautics and Astronautics Nanjing210016 China Ulsan44919 Korea Republic of

Large-area two-dimensional (2D) materials for technical applications can now be produced by chemical vapor deposition (CVD). Unfortunately, grain boundaries (GBs) are ubiquitously introduced as a result of the coalescence of grains with different crystallographic orientations. It is well known that the properties of materials largely depend on GB structures. Here, we carried out a systematic study on the GB structures in CVD-grown polycrystalline h-BN monolayer films by transmission electron microscope. Interestingly, most of these GBs are revealed to be formed via overlapping between neighboring grains, which are distinct from the covalently bonded GBs as commonly observed in other 2D materials. Further density functional theory (DFT) calculations show that the hydrogen plays an essential role in overlapping GB formation. This work provides an in-depth understanding of the microstructures and formation mechanisms of GBs in CVD-grown h-BN films, which should be informative in guiding the precisely controlled synthesis of large area single crystalline h-BN and other 2D materials. Copyright © 2018, The Authors. All rights reserved.

关键词： Grain boundaries

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Estimation of image Jacobian Matrix with time-delay compensation based on Kalman filtering with colored noise 5

Estimation of image Jacobian Matrix with time-delay compensa...

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5th International Workshop on Advanced Computational Intelligence and intelligent Informatics, IWACIII 2017

作者： Wang, Xinmei Liu, Zhenzhu Wei, Wu Liu, Feng School of Automation China University of Geosciences Hubei430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Hubei430074 China College of Automation Science and Engineering South China University of Technology Guangzhou Guangdong510640 China

In order to compensate for the impact of time delay on the estimation of object feature point image and image Jacobian matrix and improve the control precision of image-based visual servo system, a Kalman filtering algorithm with colored noise is proposed to obtained the current motion state estimation of the feature point with time-delay compensation in the image space, then the accurate image Jacobian matrix under time delay can be obtained. For the above, the following work will be done in this paper: (1) the current motion state estimation of the feature point in the image space is predicted by Kalman filtering algorithm, combined with practical applications, measurement noise is usually as colored noise and can be regarded as a one-order Markov sequence excited by Gauss white noise, then a Kalman filtering recursive model can be derived according to the variance minimization principle of the estimation error;(2) to obtain the measurement vectors estimation which cannot be acquired in the Kalman filtering model owing to the existence of time delay, the relationship between the motion state of the feature point at the prior and later point is established, and a polynomial is fitted by using some of the observed data under the relationship to realize the measurement vectors estimation in the time-delay period. Thus the estimation of the motion state of the feature point at the current time in the image space can be obtained, and the estimation of image Jacobian matrix with time-delay compensation can be obtained. Experimental results validate the feasibility and superiority of this method.

关键词： Time delay

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Correction: Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping

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Journal of Materials Chemistry C 2019年第10期7卷 3105-3105页

作者： Linbo Li Tao Dong Institute of Applied Micro-Nano Science and Technology – IAMNST Chongqing Key Laboratory of Colleges and Universities on Micro-Nano Systems Technology and Smart Transducing Chongqing Engineering Laboratory for Detection Control and Integrated System National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University Nan'an District 400067 Chongqing China Institute for Microsystems – IMS Faculty of Technology Natural Sciences and Maritime Sciences University of South-Eastern Norway Postboks 235 3603 Kongsberg Norway

Correction for ‘Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping’ by Linbo Li et al., J. Mater. Chem. C, 2018, 6, 7944–7970.

Correction for ‘Photoluminescence tuning in carbon dots: surface passivation or/and functionalization, heteroatom doping’ by Linbo Li et al., J. Mater. Chem. C, 2018, 6, 7944–7970.

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2D Structured Turbo Compressed Sensing for Channel Estimation in OTFS Systems

2D Structured Turbo Compressed Sensing for Channel Estimatio...

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International Conference on Communication Systems

作者： Mingchen Zhang Fanggang Wang Xiaojun Yuan Lei Chen Center for Intelligent Networking and Commun National Key Lab. of Sci. and Tech. on Commun University of Electronic Sci. and Tech. of China Chengdu China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China School of Information Science and Technology ShanghaiTech University Shanghai China

ISBN: (纸本)9781538678657;9781538678640

High-speed mobility is a challenging scenario in wireless communications since it involves fast-varying channels, in which orthogonal frequency-division multiplexing (OFDM) could degrade significantly without accurate Doppler compensation. Recently, a modulation called orthogonal time frequency space (OTFS) was proposed for the specific scenario. The advantages are two-fold, i.e., the orthogonality in the time-frequency domain and the clustered sparsity of channel information in the delay-Doppler domain. In this paper, we propose a two-dimensional structured Turbo compressed sensing (CS) algorithm based on our previous work on Turbo CS for fast time-varying channel estimation. Markov random field is applied to model the clustered sparse prior of the channel in the two-dimensional delay-Doppler domain. In contrast to the conventional Turbo CS, a two-dimensional structured minimum mean-square error (MMSE) estimator is designed by message passing over a Markov random field. The convergence and the MSE performance of the proposed algorithm is evaluated, and the simulation results validate that the proposed algorithm outperforms the existing algorithms.

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Big-data analysis of multi-source logs for anomaly detection on network-based system

Big-data analysis of multi-source logs for anomaly detection...

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IEEE International Conference on Automation science and Engineering (CASE)

作者： Zhanpei Jia Chao Shen Xiao Yi Yufei Chen Tianwen Yu Xiaohong Guan Xi'an Jiaotong University Xi'an Shaanxi CN Control Laboratory MOE Key Laboratory for Intelligent Networks and Network Security and Science and Technology on Electronic Information

Log data are important audit basis to record routine events occurring on computer or network system, which are also critical data source for detecting system anomalies. By analyzing the data from multi-source logs, it is helpful to detect abnormal system behaviors and discover intruder attacks in real time. In this paper, a Spark-based log data security platform is designed and built to analyze the large-scale log data and detect abnormal network behaviors. By integrating data mining, machine learning, and statistical analysis technologies, our proposed framework can quickly analyze large-scale multi-source log data and accurately discriminate the abnormal behaviors. Furthermore, the association analysis is applied to detect abnormal behaviors or potential threats in the system. Under a real-world network environment, extensive experiments are conducted to evaluate the system performance, which can achieve a fast and accurate detection for abnormal network behaviors, and significantly improve the accuracies under various types of network attack scenarios.

关键词： Intrusion detection Anomaly detection Monitoring Clustering algorithms Linux

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