Research on the Application and Development of Digital Media Art in Urban Public Space Design

Digital media art is an emerging art form that combines digital technology and media art.It has huge potential to bring innovation to urban public spaces and provide them with vibrant artistic experiences.This article analyzes the design significance and value of digital media art in urban public space,its various forms of application in urban public space design,and the innovative ideas and paths that digital media art can take in urban public space to guide the future.The application and innovative methods of digital media art in urban public space design provide certain theoretical and practical references for urban planners and designers.

Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis

This paper presents an innovative investigation on prototyping a digital twin(DT)as the platform for human-robot interactive welding and welder behavior analysis.This humanrobot interaction(HRI)working style helps to enhance human users'operational productivity and comfort;while data-driven welder behavior analysis benefits to further novice welder training.This HRI system includes three modules:1)a human user who demonstrates the welding operations offsite with her/his operations recorded by the motion-tracked handles;2)a robot that executes the demonstrated welding operations to complete the physical welding tasks onsite;3)a DT system that is developed based on virtual reality(VR)as a digital replica of the physical human-robot interactive welding environment.The DT system bridges a human user and robot through a bi-directional information flow:a)transmitting demonstrated welding operations in VR to the robot in the physical environment;b)displaying the physical welding scenes to human users in VR.Compared to existing DT systems reported in the literatures,the developed one provides better capability in engaging human users in interacting with welding scenes,through an augmented VR.To verify the effectiveness,six welders,skilled with certain manual welding training and unskilled without any training,tested the system by completing the same welding job;three skilled welders produce satisfied welded workpieces,while the other three unskilled do not.A data-driven approach as a combination of fast Fourier transform(FFT),principal component analysis(PCA),and support vector machine(SVM)is developed to analyze their behaviors.Given an operation sequence,i.e.,motion speed sequence of the welding torch,frequency features are firstly extracted by FFT and then reduced in dimension through PCA,which are finally routed into SVM for classification.The trained model demonstrates a 94.44%classification accuracy in the testing dataset.The successful pattern recognition in skilled welder operations should benefit to accelerate novice welder training.

Online Data Processing Methods in Xlet Applications for Seismic Early Warning and Emergency Services on Interactive Digital Television

In this paper, I described the methods that I used for the creation of Xlets, which are Java applets that are developed for the IDTV environment;and the methods for online data retrieval and processing that I utilized in these Xlets. The themes that I chose for the Xlets of the IDTV applications are Earthquake and Tsunami Early Warning;Recent Seismic Activity Report;and Emergency Services. The online data regarding the Recent Seismic Activity Report application are provided by the Kandilli Observatory and Earthquake Research Institute (KOERI) of Bogazici University in Istanbul;while the online data for the Earthquake and Tsunami Early Warning and the Emergency Services applications are provided by the Godoro website which I used for storing (and retrieving by the Xlets) the earthquake and tsunami early warning simulation data, and the DVB network subscriber data (such as name and address information) for utilizing in the Emergency Services (Police, Ambulance and Fire Department) application. I have focused on the methodologies to use digital television as an efficient medium to convey timely and useful information regarding seismic warning data to the public, which forms the main research topic of this paper.

Healthcare Application:An Analysis of Reception Studies in Interactive Digital Television

This paper presents a healthcare application for Brazilian digital television,its main purposes and its reception tests with end users.This is an applied research for testing the scope of the Global ITV project funded by the Brazilian National Council for Scientific and Technological Development(CNPq)and the European community which has developed a hybrid broadband and broadcasting platform.

Research on menu-typed man-machine interaction system of digital TIG welding machine

A digital man-machine interaction system controlled by communications between two processors of TMS320F240 and AT98C2051 was researched in the paper. The system is easy to set and modify welding process parameters by keyboards, and display information of welding site by LCD (Liquid Crystal Display). As one part of multi-task system about TIG welding machine, the coordination of man-machine interaction system with other tasks is the main point to the stability and reliability of its operation. Experiments result indicates that the system is stable, operation-flexible, high precision, and anti-interfering.

Research and Application of Broad-Storage Architecture in Digital Television System

A new dual-mode transmission networks （DMTN） based on broad-storage architecture for digital television （DTV） is proposed, in which the primary TV network is superimposed by a complementary framework based on broad-storage TV （BSTV）. The necessity of congregating hot TV resources is discussed via analyzing the scale-free properties in DMTN. The self-organized parallel broadcasting technology （SPBT） and the uniform content locator （UCL） are studied to utilize availably transmission channels and to help consumers to communicate with each other expediently. Experimental results show that DMTN can provide not only traditional TV services on schedule, but also digital interactive TV services on demand by using a single channel.

Future Knowledge Management Challenges:Digital Twins Approach and Synergy Measurements

We are in the midst of a significant transformation regarding the way we produce products and deliver services thanks to the digitization of manufacturing and new connected supply-chains and co-creation systems.This article elaborates Digital Twins Approach to the current challenges of knowledge management when Industry 4.0 is emerging in industries and manufacturing.Industry 4.0 approach underlines the importance of Internet of Things and interactions between social and physical systems.Internet of Things(and also Internet of Services and Internet of Data)are new Internet infrastructure that marries advanced manufacturing techniques and service architectures with the I-o-T,I-o-S,and I-o-D to create manufacturing systems that are not only interconnected,but communicate,analyze,and use information to drive further intelligent action back in the physical world.This paper identifies four critical domains of synergy challenge:(1)man-to-man interaction;(2)man-to-machine interaction;(3)machine-to-man interaction;and finally(4)machine-to-machine interaction.Key conclusion is that new knowledge management challenges are closely linked to the challenges of synergic interactions between these four key interactions and accurate measurements of synergic interaction.

Digital Twin-Driven Intelligent Construction:Features and Trends

Digital twin(DT)can achieve real-time information fusion and interactive feedback between virtual space and physical space.This technology involves a digital model,real-time information management,comprehensive intelligent perception networks,etc.,and it can drive the rapid conceptual development of intelligent construction(IC)such as smart factories,smart cities,and smart medical care.Nevertheless,the actual use of DT in IC is partially pending,with numerous scientific factors still not clarified.An overall survey on pending issues and unsolved scientific factors is needed for the development of DT-driven IC.To this end,this study aims to provide a comprehensive review of the state of the art and state of the use of DT-driven IC.The use of DT in planning,design,manufacturing,operation,and maintenance management of IC is demonstrated and analyzed,following which the driving functions of DT in IC are detailed from four aspects:information perception and analysis,data mining and modeling,state assessment and prediction,intelligent optimization and decision-making.Furthermore,the future direction of research,using DT in IC,is presented with some comments and suggestions.This work will help researchers gain in-depth and systematic understanding of the use of DT,and help practitioners to better promote its implementation in IC.

INPHOVIS:Interactive visual analytics for smartphone-based digital phenotyping

Digital phenotyping is the characterization of human behavior patterns based on data from digital devices such as smartphones in order to gain insights into the users’state and especially to identify ailments.To support supervised machine learning,digital phenotyping requires gathering data from study participants’smartphones as they live their lives.Periodically,participants are then asked to provide ground truth labels about their health status.Analyzing such complex data is challenging due to limited contextual information and imperfect health/wellness labels.We propose INteractive PHOne-o-typing VISualization(INPHOVIS),an interactive visual framework for exploratory analysis of smartphone health data to study phone-o-types.Prior visualization work has focused on mobile health data with clear semantics such as steps or heart rate data collected using dedicated health devices and wearables such as smartwatches.However,unlike smartphones which are owned by over 85 percent of the US population,wearable devices are less prevalent thus reducing the number of people from whom such data can be collected.In contrast,the‘‘low-level"sensor data(e.g.,accelerometer or GPS data)supported by INPHOVIS can be easily collected using smartphones.Data visualizations are designed to provide the essential contextualization of such data and thus help analysts discover complex relationships between observed sensor values and health-predictive phone-o-types.To guide the design of INPHOVIS,we performed a hierarchical task analysis of phone-o-typing requirements with health domain experts.We then designed and implemented multiple innovative visualizations integral to INPHOVIS including stacked bar charts to show diurnal behavioral patterns,calendar views to visualize day-level data along with bar charts,and correlation views to visualize important wellness predictive data.We demonstrate the usefulness of INPHOVIS with walk-throughs of use cases.We also evaluated INPHOVIS with expert feedback and received encouraging responses.

企业数字化转型与政府数字化治理对创新“提质增量”的协同影响机制研究

基于数字化赋能理论,以2016—2021年396家高技术制造业上市公司为样本,从微观和宏观两个维度出发探究企业数字化转型和政府数字化治理赋能企业创新“提质增量”的作用机理,并采用多项式回归、响应面分析及块变量分析技术剖析其交互协同机制,明晰数字经济推动企业创新“提质增量”的多维路径,研究结果表明:(1)企业数字化转型能促进企业创新“增量”,不能促进创新“提质”;政府数字化治理能促进企业创新“提质增量”。(2)企业数字化转型和政府数字化治理存在交互协同效应,能显著促进企业创新“提质增量”,并且在平衡状态下,二者处于双高水平时企业创新表现更好,在非平衡状态下,呈现政府数字化治理的“主导逻辑”。(3)政企之间的交互协同可以通过降低管理性交易成本,缓解信息不对称性来促进企业创新“提质增量”。研究结论丰富了数字经济与企业创新相关研究,为企业走出创新“轻质量、重数量”困境提供了新的路径,为政府部门落实数字经济政策和优化创新环境提供了新的参考。

英国国家图书馆交互式数字叙事作品馆藏与阅读推广实践

数字时代的图书馆只有积极适应和应用新的数字技术,方能创新服务,更好地发挥作用。以相关研究文献与采集语料为基础,对英国国家图书馆交互式数字叙事作品馆藏与阅读推广实践现状、内在理念进行梳理分析,发现英国国家图书馆以多重角色定位积极发挥交互式数字叙事技术的催化剂作用,全面真实反映国家文化记忆现状,创新阅读推广模式,积极推进实现适应、服务和引领数字世界的目标。由此对数字时代图书馆的发展提出建议:充分认识新兴格式馆藏建设的意义,加强数字化技术研究与基础设施建设,构建阅读与推广的新形态,重视数字策展能力建设,坚守图书馆作为时代智慧宝库的价值。

面向数字社会的学生社群互动行为分析

命运与共是当今世界的显著标志,人际交往对于社会生产与发展具有重要现实意义。信息技术的发展扩大了学生的成长空间,数字交往成为当代学生主要的人际互动形式,网络社群则成为学生成长的主要空间。然而,这也导致学生直面数字社交带来的交往异化和主体性丢失问题。因此,研究从交往理性的视角构建了数字社会CSS架构,涵盖数字文化(Digital Culture)、主体空间(Individual Space)和社会秩序(Social Order)三个层面,该架构为数字社会成员在新时代的生存发展和社会交往提供了可信机理。基于此架构详细分析了个体面向数字社会所应具备的胜任能力,具体包含数字文化中的工具意识、数字素养和主体效能;主体空间中的自我意识、身份认同和行为约束以及社会秩序中的群体意识、情绪驾驭和社会参与。

从MOOC到IMOOC再到OMC:数字时代的课堂革命

随着数字技术的飞速发展及其与高等教育的深度融合,“互联网+教育”“人工智能+教育”“元宇宙+教育”等高等教育数字化新形态应运而生。数字技术革命带动着高等教育的改革与创新发展,也改变着大学课程与课堂教学。我国慕课发展的十年历程中,慕课作为“互联网+教育”的产物,在促进教育公平和推动高等教育数字化转型,尤其是新冠疫情防控期间的在线教学中发挥重要作用。在教育数字化转型阶段及中国慕课发展十年之际,研判慕课未来的发展趋势:在人工智能、元宇宙、数字孪生、全息成像等技术支持下,慕课将逐步发展到智能化交互式虚拟慕课(IMOOC),再到开放式元宇宙课(OMC)的新形态与新阶段。据此,描述智能化交互式虚拟慕课的概念及其智能化、交互式、虚拟化、体验性等特点,展示其场景教学示例;提出开放式元宇宙课的概念与沉浸感、虚拟化、交互式、跨时空等特点,阐述元宇宙教育服务空间,并展现相关的元宇宙教室与教学场景。在此基础上,对智能化交互式虚拟慕课与开放式元宇宙课程面临的挑战进行思考和展望。可以预见,“人工智能+元宇宙+服务+教育”将在改变高等教育教与学的方式上提供无限的可能,未来“元宇宙+智慧教育+服务”必将在教育数字化转型中发挥重要作用。

结合数字孪生的斜拉桥系统更新和响应预测

由于传统建模方法难以反馈桥梁系统参数和响应的细微变化,为此提出了以数字孪生体作为结构系统的高保真映射模型。首先,定义数字孪生体包含物理孪生层、数字孪生层和信息交互媒介3部分,数字孪生层的孪生模型是对斜拉桥物理实体的虚拟映射,通过信息交互媒介实现不同层间信息的实时传递;其次,针对具体应用提出了结构信息化、信息数据化和数据模型化3条建模准则,实现对斜拉桥物理实体的信息勾勒和可视化过程,建立高保真的斜拉桥数字孪生模型;最后,以一座实桥端锚索的监测数据为感知信息,将变化的索参数实时反馈给孪生模型,实现模型更新和响应预测。研究结果表明,所提出的数字孪生建模方法能及时反馈实桥的参数变化,并预测由此造成的索力、塔顶偏位及主梁跨中挠度的细微改变。

数字金融与经济高质量发展:双向赋能还是单向驱动——基于时空交互视角

本文以中国30个省份为研究对象,应用耦合协调度模型考察数字金融与经济高质量发展耦合协调时空演变特征,刻画两者相互影响、相互作用的典型事实后,构建空间联立方程模型研究数字金融与经济高质量发展的交互作用。研究发现:数字金融与经济高质量发展存在耦合协调关系,时序演化上两者耦合协调度呈现稳定上升趋势,且表现出区域间的差异性和收敛性,但仍存在较大提升空间;空间演变上表现为明显的“分散→聚集”特征。在本地内,数字金融与经济高质量发展已形成双向赋能的良性循环,数字金融赋能经济高质量发展存在“中部>西部>东部”的强度差异,经济高质量发展赋能数字金融的提质效应明显高于增量效应。在邻域内,仅存在着数字金融对经济高质量发展的单向驱动作用,暂未实现双向赋能。

交互式数字叙事:加拿大Writing New Body Worlds阅读治疗新探索

文章基于相关研究文献与语料,对加拿大WNB阅读治疗实践进行梳理与归纳。WNB首次使用交互式数字叙事技术,构建面向公众的阅读治疗平台,以其交互式特征,融合了阅读和治疗引导两个过程,提供可访问的非临床方式,可面向大规模人群实现预防性健康干预。基于数据与计算的精准化阅读治疗是数字人文视角下的新变革,更具推广应用价值;以在线阅读平台建设为依托,推进实施平台化的阅读和治疗应成为未来发展方向之一;基于阅读形态与体验因技术赋能而改变的现状,图书馆应发挥引领作用,积极收集、创建或协助创建数字故事,推进阅读推广、服务与治疗的融合性发展,成为社区建设促进者、历史欣赏者和社区参与倡导者,也使阅读借助交互式数字叙事这一新载体,更好地发挥变革的力量,促进健康与幸福。