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.

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.

Linked Data-based Slide Repository： The Episodic Slide Retrieval Using the Episodic Keyword Networks

This paper focuses on developing a system that allows presentation authors to effectively retrieve presentation slides for reuse from a large volume of existing presentation materials. We assume episodic memories of the authors can be used as contextual keywords in query expressions to efficiently dig out the expected slides for reuse rather than using only the part-of-slide-descriptions-based keyword queries. As a system, a new slide repository is proposed, composed of slide material collections, slide content data and pieces of information from authors＇ episodic memories related to each slide and presentation together with a slide retrieval application enabling authors to use the episodic memories as part of queries. The result of our experiment shows that the episodic memory-used queries can give more discoverability than the keyword-based queries. Additionally, an improvement model is discussed on the slide retrieval for further slide-finding efficiency by expanding the episodic memories model in the repository taking in the links with the author-and-slide-related data and events having been post on the private and social media sites.

Analysis on unit maximum capacity of orthogonal multiple watermarking for multimedia signals in B5G wireless communications

Beyond-5G(B5G)aims to meet the growing demands of mobile traffic and expand the communication space.Considering that intelligent applications to B5G wireless communications will involve security issues regarding user data and operational data,this paper analyzes the maximum capacity of the multi-watermarking method for multimedia signal hiding as a means of alleviating the information security problem of B5G.The multiwatermarking process employs spread transform dither modulation.During the watermarking procedure,Gram-Schmidt orthogonalization is used to obtain the multiple spreading vectors.Consequently,multiple watermarks can be simultaneously embedded into the same position of a multimedia signal.Moreover,the multiple watermarks can be extracted without affecting one another during the extraction process.We analyze the effect of the size of the spreading vector on the unit maximum capacity,and consequently derive the theoretical relationship between the size of the spreading vector and the unit maximum capacity.A number of experiments are conducted to determine the optimal parameter values for maximum robustness on the premise of high capacity and good imperceptibility.

The Implementation Path of Multimedia-Assisted High School Geography Teaching:Taking“China’s Climate”as an Example

With the rapid development of modern information technology,multimedia-assisted instruction has become an indispensable tool in today’s classrooms.Taking“China’s Climate”as an example and aiming to improve the quality of geography teaching in high schools from the perspective of core competencies,this paper explores the implementation pathways of multimedia-assisted geography teaching by comparing traditional teaching methods with multimedia-assisted ones.The goal is to provide a paradigmatic reference for teachers to better leverage digital technology to achieve more efficient,personalized,and precise geography teaching,thereby promoting a comprehensive enhancement of education and teaching quality.

Digital Generative Multimedia Tool Theory (DGMTT): A Theoretical Postulation

The development of digital technology has brought about a substantial evolution in the multimedia field.The use of generative technologies to produce digital multimedia material is one of the newer developments in this field.The“Digital Generative Multimedia Tool Theory”(DGMTT)is therefore presented in this theoretical postulation by Timothy Ekeledirichukwu Onyejelem and Eric Msughter Aondover.It discusses and describes the principles behind the development and deployment of generative tools in multimedia creation.The DGMTT offers an all-encompassing structure for comprehending and evaluating the fundamentals and consequences of generative tools in the production of multimedia content.It provides information about the creation and use of these instruments,thereby promoting developments in the digital media industry.These tools create dynamic and interactive multimedia content by utilizing machine learning,artificial intelligence,and algorithms.This theory emphasizes how crucial it is to comprehend the fundamental ideas and principles of generative tools in order to use them efficiently when creating digital media content.A wide range of industries,including journalism,advertising,entertainment,education,and the arts,can benefit from the practical use of DGMTT.It gives artists the ability to use generative technologies to create unique and customized multimedia content for its viewers.

中医药多媒体资源标注规范

《中医药多媒体资源标注规范》以国家及行业相关标准为依据,参考中医药学内容特点和多媒体资源特点制定,主要针对中医药图片、音视频等多媒体资源而设计,规范基于元数据的中医药多媒体资源内容标注,适用于中医药图书文献机构、中医药信息机构及科研人员、中医药教育机构对中医药多媒体资源进行编目、标注及管理利用等相关工作。

Processing and optimization of UMQL-based multimedia queries

Through the mapping from UMQL （ unified multimedia query language） conditional expressions to UMQA （unified multimedia query algebra） query operations, a translation algorithm from a UMQL query to a UMQA query plan is put forward, which can generate an equivalent UMQA internal query plan for any UMQL query. Then, to improve the execution costs of UMQA query plans effectively, equivalent UMQA translation formulae and general optimization strategies are studied, and an optimization algorithm for UMQA internal query plans is presented. This algorithm uses equivalent UMQA translation formulae to optimize query plans, and makes the optimized query plans accord with the optimization strategies as much as possible. Finally, the logic implementation methods of UMQA plans, i.e., logic implementation methods of UMQA operators, are discussed to obtain useful target data from a muifirnedia database. All of these algorithms are implemented in a UMQL prototype system. Application results show that these query processing techniques are feasible and applicable.

Multimedia Engineering Database Management Systems

In the Engine CAD application system engineering database management system (ECAD-EDBMS) is the kernel. ECAD-EDBMS can manage and process the multimedia such as graphics, data, text, sound, image and video. It provides the integrated environment and more functions for many subsystems of ECAD and engine designers. So it improves the design efficiency.

多媒体技术下微课联合案例教学在放疗科实习护士教学中的应用

目的研究多媒体技术下微课联合案例教学对放疗科护理实习生护理能力的影响。方法选择2022年1月—2024年9月时段我院放疗科64例护理实习生,以随机分组的方式,两组各32例,对照组给予传统带教法,观察组在对照组的基础上采用多媒体技术下微课联合案例教学,将两组教学效果进行比较。结果两组实习护士在实施业务后的水平进行比较,对照的业务水平较观察组差,差异有统计学意义(P<0.05);两组实习护士实施前的业务水平进行对比,差异没有统计学意义(P>0.05);在护理质量中进行对比,对照组较观察组差,差异有统计学意义(P<0.05);两组实习护士实施前进行对比,差异没有统计学意义(P>0.05);在两组实习护士对课程教学效果的满意程度进行比较的时候,对照组较观察组差,差异有统计学意义(P<0.05)。结论采用多媒体技术下微课联合案例教学可以有效提高实习护士临床护理能力,因此这种方法值得在临床推广和应用。

Multimedia approach to culture： Current situation and development in EFL

This thesis aims at providing an overview of the recent developments and reforms in the college English education. With the employment of multi-media teaching facilities, intercultural competence, i.e., the flexible adoption of the systems of value outlook and behavior mode of the target language, has indisputably been integrated into the second language learning and teaching curriculum. This thesis compares and analyzes the nature and composition of cultural cognition.

The Experimental Research on the Classroom Teaching Mode of Appropriate Combination of Traditional Methods with the Multimedia Overhead Projector

Based on the constructivism, using the College English（new edition） CD-ROMs for classroom teaching as main media, this paper explores the feasibility of the classroom teaching mode of appropriate combination of traditional methods with the multimedia overhead projector. The new teaching mode proves to be successful in that it has greatly improved the students＇ ability to use English in an all-round way and has obvious advantages over the only traditional method.

The Necessities and Problems of Multimedia and Network Teaching in Vocational College English Teaching

With the development of social economy,the multimedia and network teaching is more and more important in college English teaching,especially in vocational college.It can not only help students to give full play to their collective consciousness and make our English course be full of vitality,but also make the amount of information in class redoubled.For the multimedia and network teaching,there're some problems in English teaching.So the multimedia and network teaching has both necessities and problems.

The application of multimedia technology in English Teaching

For the current foreign language teaching, using multimedia technology has become a necessity in information age. The modernization of computer has paved a new way of deepening teaching reform and improving teaching efficiency and quality. With the computer technology applied in education, language teachers have witnessed dramatic changes in the ways that languages are taught. Multimedia technology applied in English teaching has been considered to be a more effective medium, which represents an inevitable trend of applied linguistics.

Study on the Advantages of Multimedia Teaching in Advanced English

Advanced English is a key course for English majors in advanced stage.This paper first proposes the problems in tradi tional advanced English teaching.Then it explains the theoretical basis and finally the paper states advantages of multimedia teach ing in Advanced English.

多媒体图画故事疗法对重症脑外伤患儿认知功能与情绪状态的改善作用

目的:探讨多媒体图画故事疗法对重症脑外伤患儿认知功能和情绪状态的改善作用。方法:选取2023年1月-2024年5月于某院确诊重症脑外伤的130例重症脑外伤患儿为研究对象。根据术后检查结果、护理模式及入院先后时间的不同将患儿定义为两组:对照组(65例)和干预组(65例)。入院后对两组患儿均进行常规脑外伤治疗,入选者均接受为期3周的干预护理,对干预组进行多媒体图画故事疗法干预护理,对照组仅进行常规护理。采用国际通用量表和医院自制的问卷调查表对患儿的认知功能、情绪状态、家属护理满意度、社会支持及各项功能进行比较。结果:多媒体图画故事疗法干预后,与对照组相比,干预组患儿的认知功能[简易智力状态检查量表(MMSE评分)、蒙特利尔认知评估量表(MoCA评分)]显著升高(t=13.026,11.949;P<0.001);接受多媒体图画故事疗法的患儿各项功能[Fugl-Meyer运动功能量表(FMA)、日常生活能力量表(ADL)、功能独立性评定量表(FIM)]评分更高(t=6.220,9.224,3.661;P<0.001);干预组患儿的情绪状态[儿童抑郁障碍自评表(DSRSC)、儿童焦虑情绪障碍筛查量表(SCARED)]显著低于对照组(t=9.256,6.423;P<0.001);干预组患儿领悟社会支持量表(PSSS)中社会支持(家庭支持、朋友支持、其他支持、PSSS总分)各评分均显著高于对照组(t=5.549,8.051,14.807,9.646;P<0.001);干预组患儿家属的护理满意度与对照组相比,有明显改善(χ^(2)=4.866,P<0.05)。结论:对重症脑外伤患儿进行多媒体图画故事疗法干预护理,可以有效提升重症脑外伤患儿的认知功能、运动功能、日常生活能力、情绪状态以及患儿家属对护理的满意度,该疗法有助于患儿身体各项功能和情绪状态的纠正,从而提高患儿的康复质量。

Multimedia Builder 4.9.1多媒体开发软件在编辑图像、声音和二维动画方面的应用

当今社会是信息的时代,在计算机领域和广播电视领域,许多专业人员都在谈论着同一个时髦的名词—多媒体。MultimediaBuilder是美国Mediachance公司推出的一款多媒体开发软件。经过多年的发展,该软件的功能日渐完善,不但可以完成声音、图像和文字信息的制作处理,还可以开发二维动画以及和计算机硬件的通讯。本文作者通过介绍开发“声音博物馆”这个作品实例分析介绍了MultimediaBuilder4.9.1在编辑声音、图像和文字方面的功能,以及通过实例又介绍了该软件制作二维动画的功能。