Data-Based Filters for Non-Gaussian Dynamic Systems With Unknown Output Noise Covariance

This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown covariance matrix is addressed by focusing on the output data set of the system.Considering that data generated from a Gaussian distribution exhibit ellipsoidal scattering,we first propose the weighted sum of norms(SON)clustering method that prioritizes nearby points,reduces distant point influence,and lowers computational cost.Then,by introducing the weighted maximum likelihood,we propose a semi-definite program(SDP)to detect outliers and reduce their impacts on each cluster.Detecting these weights paves the way to obtain an appropriate covariance of the output noise.Next,two filtering approaches are presented:a cluster-based robust linear filter using the maximum a posterior(MAP)estimation and a clusterbased robust nonlinear filter assuming that output noise distribution stems from some Gaussian noise resources according to the ellipsoidal clusters.At last,simulation results demonstrate the effectiveness of our proposed filtering approaches.

FL-Online:An x-ray crystallographic web-server for atomic-scale structure analysis of biomolecule

FL-Online(http://fanlab.ac.cn) is an out-of-box modern web service featuring a user-friendly interface and simplified parameters, providing academic users with access to a series of online programs for biomolecular crystallography, including SAPI-online, OASIS-online, C-IPCAS-online and a series of upcoming software releases. Meanwhile, it is a highly scalable and maintainable web application framework that provides a powerful and flexible solution for academic web development needs. All the codes are open-source under MIT licenses in GitHub.

Application of Perceived Teaching with Moderate Elimination of“Graphics”in Architectural Design Courses

Starting from the traditional form of“graphic”architectural education,this paper explores a teaching method of entity construction experience,instrument assistance,and digital virtual expression symbiosis symbiosis from three aspects:environmental perception,ontology perception,and extension perception.Using physical perception as a medium,and gradually rising from active perception to a comprehensive expression of visual audience perception through practical operation,it allows students to have a more comprehensive understanding of the meaning of architectural design on the basis of the“graphic”expression paradigm.

Interactive Media Visual Interpretation of Traditional Chinese Graphics in Urban Public Spaces

This paper focuses on the application of interactive media technology in the visual interpretation of traditional graphic urban public spaces in China.Case studies and practical exploration show that interactive media technologies such as projection mapping,interactive devices,virtual reality technology,etc.,have realized the diversity of traditional graphics display forms in urban public space.The rich interactive experience design enhances the sense of participation and experience of urban citizens and tourists and promotes the visual culture transmission of traditional Chinese graphics.The future urban public space exhibition is destined to continue to deepen the integration of technology and graphics,promote the visual communication of traditional Chinese graphics visual interpretation in urban public space,and promote sustainable innovation in cultural output in urban public space exhibitions around the world.

Research on Dynamic Graphic Features in Digital Media Interfaces

In digital media interfaces,dynamic graphics integrate elements of animation design,graphic design,and cinematic language,presenting in various forms and demonstrating significant inclusivity.From the perspective of visual cognition,by capturing dynamic graphics within the interface,three-dimensional information such as time and space is acquired,and the cognition process exhibits characteristics of spatial and temporal correlation.In terms of information cognition,dynamic representation fragments information,resulting in a sense of discontinuity and intermittent memory.The efficiency of information cognition and transmission is enhanced through the coordination of audio,video,and other elements.In aesthetic perception,with the rise of Internet culture,people’s aesthetic perceptions towards dynamic graphic design have evolved,showcasing a generalization of form and the instantaneous nature of content.Technically,the complexity of design and the diversity of applications have established dynamic graphics as a typical design style label in digital media interfaces.

Recent Progress on Data-Based Optimization for MineralProcessing Plants

In the globalized market environment, increasingly significant economic and environmental factors withincomplex industrial plants impose importance on the optimization of global production indices; such opti-mization includes improvements in production efficiency, product quality, and yield, along with reductionsof energy and resource usage. This paper briefly overviews recent progress in data-driven hybrid intelli-gence optimization methods and technologies in improving the performance of global production indicesin mineral processing. First, we provide the problem description. Next, we summarize recent progress indata-based optimization for mineral processing plants. This optimization consists of four layers： optimiza-tion of the target values for monthly global production indices, optimization of the target values for dailyglobal production indices, optimization of the target values for operational indices, and automation systemsfor unit processes. We briefly overview recent progress in each of the different layers. Finally, we point outopportunities for future works in data-based optimization for mineral processing plants.

Data-Based Optimal Tracking of Autonomous Nonlinear Switching Systems

In this paper,a data-based scheme is proposed to solve the optimal tracking problem of autonomous nonlinear switching systems.The system state is forced to track the reference signal by minimizing the performance function.First,the problem is transformed to solve the corresponding Bellman optimality equation in terms of the Q-function(also named as action value function).Then,an iterative algorithm based on adaptive dynamic programming(ADP)is developed to find the optimal solution which is totally based on sampled data.The linear-in-parameter(LIP)neural network is taken as the value function approximator.Considering the presence of approximation error at each iteration step,the generated approximated value function sequence is proved to be boundedness around the exact optimal solution under some verifiable assumptions.Moreover,the effect that the learning process will be terminated after a finite number of iterations is investigated in this paper.A sufficient condition for asymptotically stability of the tracking error is derived.Finally,the effectiveness of the algorithm is demonstrated with three simulation examples.

Data-based Fault Tolerant Control for Affine Nonlinear Systems Through Particle Swarm Optimized Neural Networks

In this paper, a data-based fault tolerant control(FTC) scheme is investigated for unknown continuous-time(CT)affine nonlinear systems with actuator faults. First, a neural network(NN) identifier based on particle swarm optimization(PSO) is constructed to model the unknown system dynamics. By utilizing the estimated system states, the particle swarm optimized critic neural network(PSOCNN) is employed to solve the Hamilton-Jacobi-Bellman equation(HJBE) more efficiently.Then, a data-based FTC scheme, which consists of the NN identifier and the fault compensator, is proposed to achieve actuator fault tolerance. The stability of the closed-loop system under actuator faults is guaranteed by the Lyapunov stability theorem. Finally, simulations are provided to demonstrate the effectiveness of the developed method.

The COVID-19 and the“European Solution”of Data-based Approach to Governance:Public Security or Data Protection?

To cope with the challenges of CoViD-19,europe has adopted relevant measures of a data-based approach to governance,on which scholars have huge differences,and the related researches are conducive to further discussion on the differences.By sorting out the challenges posed by the pandemic to public security and data protection in europe,we can summarize the“european Solution”of the data-based approach to governance,including legislation,instruments,supervision,international cooperation,and continuity.The“Solution”has curbed the spread of the pandemic to a certain extent.However,due to the influence of the traditional values of the EU,the“Solution”is too idealistic in the balance between public security and data protection,which intensifies the dilemma and causes many problems,such as ambiguous legislation,inadequate effectiveness and security of instruments,an arduous endeavor in inter national cooperation,and imperfect regulations on digital green certificates.Therefore,in a major public health crisis,there is still a long way to go in exploring a balance between public security and data protection.

An Enhanced Graphical Authentication Scheme Using Multiple-Image Steganography

Most remote systems require user authentication to access resources.Text-based passwords are still widely used as a standard method of user authentication.Although conventional text-based passwords are rather hard to remember,users often write their passwords down in order to compromise security.One of the most complex challenges users may face is posting sensitive data on external data centers that are accessible to others and do not be controlled directly by users.Graphical user authentication methods have recently been proposed to verify the user identity.However,the fundamental limitation of a graphi-cal password is that it must have a colorful and rich image to provide an adequate password space to maintain security,and when the user clicks and inputs a pass-word between two possible grids,the fault tolerance is adjusted to avoid this situation.This paper proposes an enhanced graphical authentication scheme,which comprises benefits over both recognition and recall-based graphical techniques besides image steganography.The combination of graphical authentication and steganography technologies reduces the amount of sensitive data shared between users and service providers and improves the security of user accounts.To evaluate the effectiveness of the proposed scheme,peak signal-to-noise ratio and mean squared error parameters have been used.

Research on railway BIM platform framework based on homemade graphics engine

At present,BIM platforms rely on foreign software.Homemade software and industry applications are mostly secondary developments,which present stranglehold problems caused by interruptions to the software supply.To solve the problem,key technical research on the 3D integrated design of railway engineering was stuedied based on homemade graphics engines to propose an innovative railway BIM platform framework.The entire process was completed from the top-level design to the engineering verification of the platform.The co-designed mechanism of a"center model and link"hybrid mode was constructed,which solved the difficulties of data management and increment synchronization at a large scale,achieving teamwork among surveying and mapping,alignments,and bridges.The results of this study could provide strong support for the development of BIM software for a whole railway and all majors.

A graphical user interface(GUI)for model-based radiation-induced acoustic computed tomography

Radiation-induced acoustic computed tomography(RACT)is an evolving biomedical imaging modality that aims to reconstruct the radiation energy deposition in tissues.Traditional backprojection(BP)reconstructions carry noisy and limited-view artifacts.Model-based algorithms have been demonstrated to overcome the drawbacks of BPs.However,model-based algorithms are relatively more complex to develop and computationally demanding.Furthermore,while a plethora of novel algorithms has been developed over the past decade,most of these algorithms are either not accessible,readily available,or hard to implement for researchers who are not well versed in programming.We developed a user-friendly MATLAB-based graphical user interface(GUI;RACT2D)that facilitates back-projection and model-based image reconstructions for twodimensional RACT problems.We included numerical and experimental X-ray-induced acoustic datasets to demonstrate the capabilities of the GUI.The developed algorithms support parallel computing for evaluating reconstructions using the cores of the computer,thus further accelerating the reconstruction speed.We also share the MATLAB-based codes for evaluating RACT reconstructions,which users with MATLAB programming expertise can further modify to suit their needs.The shared GUI and codes can be of interest to researchers across the globe and assist them in e±cient evaluation of improved RACT reconstructions.

Analysis of the Application of Ink Art in Graphic Design Imagery

The graphic design industry has been developing rapidly in recent years.People have begun to focus on steering the development of graphic design in the direction of localization,integrating more traditional Chinese elements,raising the level of acceptance toward graphic design content,and disseminating traditional culture on this basis.Ink art plays an important role in the historical and cultural development process.It uses simple color contrast to construct different situations and possesses unique artistic charm and cultural heritage.Incorporating ink elements into graphic design may enhance the graphic design style and provide inspiration.This article focuses on the reasons,advantages,and strategies of using ink art in graphic design imagery,hoping to provide references for graphic design activities.

图像处理用于设施园艺管理系统的实践分析

以设施园艺管理系统精准化控制为研究对象,基于图像采集与分析处理技术对作物的生长状态进行感知,获取作物植株的特征参数,作为管理系统精准化控制输入参数。实践表明:采用这种方式能够有效提高作物生长过程的控制精度,提高过程管理的精准化控制水平。

适用于不同款式的无监督服装动画预测

虚拟角色着装动画生成是三维动画的关键技术,着装变形作为其核心一直是该领域的研究热点。现有着装变形方法大多基于单一服装款式进行研究,一旦款式变化则需要重新训练,耗费时间和增加计算成本。同时现有方法大多基于有监督的方法进行网络训练,需要大量的数据准备和训练成本。基于此,提出一种适用于不同款式的无监督着装动画生成方法。首先,提出一个可学习的款式特征表示方式,学习款式约束的运动隐空间概率分布模型;其次,基于编解码结构搭建款式约束的无监督服装变形预测网络,进一步引入Transformer编解码层对时序运动特征进行提取;最后,进行多款式动画生成实验,并与现有方法基于视觉效果和定量指标进行对比分析。实验结果表明,相较于现有方法,本文方法可以生成款式可调的、视觉合理的着装动画,在预测精度以及穿透损失等方面具有明显的优越性。

多光源照射下目标图像实时生成方法

由于地理位置、太阳、大气环境等因素限制,无法获取空间目标在各种姿态、光照条件、特别是激光、太阳和背景光共同作用下的实际成像。提出一种多光源照射下目标图像实时生成方法。该方法基于计算机图形学中纹理映射思想,采用现代图形显卡编程技术和帧缓存对象特性,在GPU(Graphics Processing Unit)端采用着色器语言实现多光源作用下目标亮度值高效计算和真实感增强;采用开源三维图形引擎OSG(Open SceneGraph)支持多种格式三维模型文件,提高与国产麒麟操作系统及常用战场态势显示软件的兼容性。仿真实验验证了该方法的有效性和优越性。

基于Matlab的超磁致伸缩骨传导振子设计平台研发

针对声学领域中利用稀土超磁致伸缩材料(GMM)设计的微型骨传导振子结构设计计算复杂的问题,提出设计一款稀土超磁致伸缩骨传导振子的结构设计平台。在稀土超磁致伸缩换能器设计理论的基础上,利用Matlab强大的数据处理能力和GUI图形用户界面功能搭建了骨传导振子的设计平台。该平台可以对骨传导振子内部的GMM棒、激励线圈、预压力机构等部件进行设计计算,还可对骨传导振子的性能指标进行检验。该平台操作简单,可根据设计要求进行改变参数,有效地提高了设计效率。

PBL结合图形勾画在进修医师颅底卵圆孔定位教学的应用效果研究

目的探讨基于问题的教学法(problem-based learning,PBL)结合图形勾画在进修医师颅底卵圆孔定位教学的应用效果。方法选择2022年1-12月,在首都医科大学宣武医院疼痛科进修的医生共60名作为研究对象,采用随机数字表法分为试验组(n=30)和对照组(n=30)。在三叉神经半月节球囊压迫术中实施X射线影像定位颅底卵圆孔教学,试验组采用PBL结合图形勾画教学方式,对照组采用传统教学方式。通过理论考试和问卷调查评价教学效果。结果与对照组相比,试验组的理论考试总成绩、影像成绩和操作成绩均高于对照组(85.8±8.5 vs.69.3±13.7,P<0.001;24.7±3.9 vs.21.8±5.2,P=0.020;35.8±3.7 vs.23.7±6.1,P<0.001)。问卷调查检查结果显示,在提高学习兴趣、提升学习能力、解决困惑迷茫、理解重点难点和满意度评分方面,试验组分别优于对照组(96.7±3.1 vs.80.1±6.9,P<0.001;95.2±4.5vs.76.7±6.2,P<0.001;96.0±4.1vs.72.7±7.9,P<0.001;93.8±5.3vs.69.7±7.4,P<0.001;97.2±3.7 vs.75.0±7.3,P<0.001)。结论在X射线影像定位颅底卵圆孔教学的应用中,PBL结合图形勾画取得良好的教学效果,提高学生学习兴趣和学习能力。

放大电路静态在固定式偏置放大电路中的分析

论文主要从固定式偏置共射极放大电路静态工作点的分析方法出发,详细介绍了静态工作点分析常用的图解法和解析法,并对两种方法进行了对比,提出了两种方法的适用性和静态工作点选取的一般原则,为电子信息、电气自动化、机电工程、汽车、电力、城轨运营等专业的教学与学习提供了参考。

基于福井函数方法的芳杂环化合物亲电取代反应位点预测及图形可视化教学应用

基于福井函数方法,利用Gaussian和Multiwfn软件预测了常见芳杂环化合物及取代芳杂环化合物的亲电取代反应位点,使之以可视化图像形式展现并应用于基础有机化学的教学实践。