Digital Twin Technology of Human-Machine Integration in Cross-Belt Sorting System

The Chinese express delivery industry processes nearly 110 billion items in 2022,averaging an annual growth rate of 200%.Among the various types of sorting systems used for handling express items,cross-belt sorting systems stand out as the most crucial.However,despite their high degree of automation,the workload for operators has intensified owing to the surging volume of express items.In the era of Industry 5.0,it is imperative to adopt new technologies that not only enhance worker welfare but also improve the efficiency of cross-belt systems.Striking a balance between efficiency in handling express items and operator well-being is challenging.Digital twin technology offers a promising solution in this respect.A realization method of a human-machine integrated digital twin is proposed in this study,enabling the interaction of biological human bodies,virtual human bodies,virtual equipment,and logistics equipment in a closed loop,thus setting an operating framework.Key technologies in the proposed framework include a collection of heterogeneous data from multiple sources,construction of the relationship between operator fatigue and operation efficiency based on physiological measurements,virtual model construction,and an online optimization module based on real-time simulation.The feasibility of the proposed method was verified in an express distribution center.

Deep Learning for EMG-based Human-Machine Interaction:A Review

Electromyography(EMG)has already been broadly used in human-machine interaction(HMI)applications.Determining how to decode the information inside EMG signals robustly and accurately is a key problem for which we urgently need a solution.Recently,many EMG pattern recognition tasks have been addressed using deep learning methods.In this paper,we analyze recent papers and present a literature review describing the role that deep learning plays in EMG-based HMI.An overview of typical network structures and processing schemes will be provided.Recent progress in typical tasks such as movement classification,joint angle prediction,and force/torque estimation will be introduced.New issues,including multimodal sensing,inter-subject/inter-session,and robustness toward disturbances will be discussed.We attempt to provide a comprehensive analysis of current research by discussing the advantages,challenges,and opportunities brought by deep learning.We hope that deep learning can aid in eliminating factors that hinder the development of EMG-based HMI systems.Furthermore,possible future directions will be presented to pave the way for future research.

Fully Fabric-Based Triboelectric Nanogenerators as Self-Powered Human-Machine Interactive Keyboards

Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things.This work presents a highly flexible and self-powered fully fabric-based triboelectric nanogenerator(F-TENG)with sandwiched structure for biomechanical energy harvesting and real-time biometric authentication.The prepared F-TENG can power a digital watch by low-frequency motion and respond to the pressure change by the fall of leaves.A self-powered wearable keyboard(SPWK)is also fabricated by integrating large-area F-TENG sensor arrays,which not only can trace and record electrophysiological signals,but also can identify individuals’typing characteristics by means of the Haar wavelet.Based on these merits,the SPWK has promising applications in the realm of wearable electronics,self-powered sensors,cyber security,and artificial intelligences.

Human-machine compatibility and dynamic analysis of a novel unpowered and self-adaptive shoulder rehabilitation exoskeleton

To reduce the complexity of the configuration and control strategy for shoulder rehabilitation exoskeleton,a 2R1R1P2R serial of shoulder exoskeleton based on gravity balance is proposed.Based on three basic rotatory shoulder joints,an exact kinematic constraint system can be formed between the exoskeleton and the upper arm by introducing a passive sliding pair and a center of glenohumeral(CGH)unpowered compensation mechanism,which realizes the human-machine kinematic compatibility.Gravity balance is used in the CGH compensation mechanism to provide shoulder joint support.Meanwhile,the motion of the compensation mechanism is pulled by doing reverse leading through the arm to realize the kinematic self-adaptive,which decreases control complexity.Besides,a simple and intuitive spring adjustment strategy is proposed to ensure the gravity balance of any prescribed quality.Furthermore,according to the influencing factors analysis of the scapulohumeral rhythm,the kinematic analysis of CGH mechanism is performed,which shows that the mechanism can fit the trajectory of CGH under various conditions.Finally,the dynamic simulation of the mechanism is carried out.Results indicate that the compensation torques are reduced to below 0.22 N·m,and the feasibility of the mechanism is also verified.

Web GIS Human-Machine Interactive Interface Design with VISI

The fusion of VlSI （visual identity system Internet）, digital maps and Web GIS is presented. Web GIS interface interactive design with VISI needs to consider more new factors. VISI can provide the design principle, elements and contents for the Web GIS. The design of the Wuhan Bus Search System is fulfilled to confirm the validity and practicability of the fusion.

BLIND SPEECH SEPARATION FOR ROBOTS WITH INTELLIGENT HUMAN-MACHINE INTERACTION

Speech recognition rate will deteriorate greatly in human-machine interaction when the speaker's speech mixes with a bystander's voice. This paper proposes a time-frequency approach for Blind Source Seperation (BSS) for intelligent Human-Machine Interaction(HMI). Main idea of the algorithm is to simultaneously diagonalize the correlation matrix of the pre-whitened signals at different time delays for every frequency bins in time-frequency domain. The prososed method has two merits: (1) fast convergence speed; (2) high signal to interference ratio of the separated signals. Numerical evaluations are used to compare the performance of the proposed algorithm with two other deconvolution algorithms. An efficient algorithm to resolve permutation ambiguity is also proposed in this paper. The algorithm proposed saves more than 10% of computational time with properly selected parameters and achieves good performances for both simulated convolutive mixtures and real room recorded speeches.

A Robotic Teleoperation System for Precise Robotic Manipulation by Human-Machine Interaction

Teleoperation is of great importance in the area of robotics,especially when people are unavailable in the robot workshop.It provides a way for people to control robots remotely using human intelligence.In this paper,a robotic teleoperation system for precise robotic manipulation is established.The data glove and the 7-degrees of freedom(DOFs)force feedback controller are used for the remote control interaction.The control system and the monitor system are designed for the remote precise manipulation.The monitor system contains an image acquisition system and a human-machine interaction module,and aims to simulate and detect the robot running state.Besides,a visual object tracking algorithm is developed to estimate the states of the dynamic system from noisy observations.The established robotic teleoperation systemis applied to a series of experiments,and high-precision results are obtained,showing the effectiveness of the physical system.

Designing interactive glazing through an engineering psychology approach:Six augmented reality scenarios that envision future car human-machine interface

Background With an increasing number of vehicles becoming autonomous,intelligent,and connected,paying attention to the future usage of car human-machine interface with these vehicles should become more relevant.Several studies have addressed car HMI but were less attentive to designing and implementing interactive glazing for every day(autonomous)driving contexts.Methods Reflecting on the literature,we describe an engineering psychology practice and the design of six novel future user scenarios,which envision the application of a specific set of augmented reality(AR)support user interactions.Additionally,we conduct evaluations on specific scenarios and experiential prototypes,which reveal that these AR scenarios aid the target user groups in experiencing a new type of interaction.The overall evaluation is positive with valuable assessment results and suggestions.Conclusions This study can interest applied psychology educators who aspire to teach how AR can be operationalized in a human-centered design process to students with minimal pre-existing expertise or minimal scientific knowledge in engineering psychology.

The Human-Machine Safety Design of Mechanical Toys for Children

In order to ensure the safety of children while using machineries and avoid harm caused by mechanical toys,this paper analyzes the types and detection standards of children’s toys,discusses the reasons for the harm caused by these toys,and proposes human-machine safety design strategies for children’s toys as reference.

Heideggerian Thought in the Light of Iranian-Islamic Wisdom

A prominent Iranian philosopher Ahmad Fardid considered the influential German philosopher Martin Heidegger as“the only Western philosopher who understood the world and the only philosopher whose insights were congruent with the principles of the Islamic Republic”.The report aimed to present Fardid’s interpretation of Heidegger in the light of Iranian-Islamic wisdom.Iranian philosopher believes that Heidegger’s thought responds to the most important intellectual crisis of the West civilization that is nihilism and to reach the possibility of an“other beginning”of thinking that he calls“No-longer-metaphysical-thought”.Considering these two fundamental features,Fardid founds powerful religious-spiritual tendencies in Heidegger’s thinking.

林语堂与The Wisdom of Confucius

林语堂的翻译活动前后跨越了半个世纪,历经了中国"五四"新文化运动和美国20世纪50年代"反文化"运动和现代性的冲击。他的译品,就犹如他的创作一样,带有鲜明的中西合璧的文化色彩。林语堂通过通俗的艺术方法为中国古典文化的精华在西方文化世界的传播做出了卓越贡献。由林语堂编译的The Wisdom of Confucius(中文名《孔子的智慧)》较为完整地表达了林语堂的孔子观,也系统地向西方介绍了儒家学说,对促进西方读者了解中国传统文化起到了重要作用。林语堂的翻译思想、The Wisdom of Confucius的编译内容、林语堂《论语》的英译本都具有深刻的学术研究价值。

A Rapid Adaptation Approach for Dynamic Air‑Writing Recognition Using Wearable Wristbands with Self‑Supervised Contrastive Learning

Wearable wristband systems leverage deep learning to revolutionize hand gesture recognition in daily activities.Unlike existing approaches that often focus on static gestures and require extensive labeled data,the proposed wearable wristband with selfsupervised contrastive learning excels at dynamic motion tracking and adapts rapidly across multiple scenarios.It features a four-channel sensing array composed of an ionic hydrogel with hierarchical microcone structures and ultrathin flexible electrodes,resulting in high-sensitivity capacitance output.Through wireless transmission from a Wi-Fi module,the proposed algorithm learns latent features from the unlabeled signals of random wrist movements.Remarkably,only few-shot labeled data are sufficient for fine-tuning the model,enabling rapid adaptation to various tasks.The system achieves a high accuracy of 94.9%in different scenarios,including the prediction of eight-direction commands,and air-writing of all numbers and letters.The proposed method facilitates smooth transitions between multiple tasks without the need for modifying the structure or undergoing extensive task-specific training.Its utility has been further extended to enhance human–machine interaction over digital platforms,such as game controls,calculators,and three-language login systems,offering users a natural and intuitive way of communication.

图模驱动的在线医疗健康智慧问答服务研究

[目的/意义]学者们重视追求医疗智慧问答相关技术本身的前沿性,对基础理论的探讨研究较少,两者未能融合发展。[方法/过程]在辨析相关概念的基础上,首先阐述在线医疗健康领域智慧问答服务的内涵及特征,之后剖析知识图谱与大语言模型的联系及两者的互补融合思路,最后提出图模驱动的在线医疗健康智慧问答服务。[结果/结论]文章将医疗智慧问答服务理论特征贯穿智慧问答服务的全过程,创新性地提出其智慧问答服务应包含大语言模型驱动的医疗知识图谱构建、知识图谱增强的医疗大模型训练、图模驱动的智慧问答服务流程三部分。本研究实现了理论与技术的有机结合,研究成果可用于后续医疗智慧问答的实践性工作。

面向数据可视化GUI设计的WISDOM任务模型构建

在普适计算环境中,用户与系统之间的交互越来越多样化,为了顺应这种多样化,越来越多的设计人员开始使用任务模型去帮助开发用户界面。为了更好地协助设计人员了解用户的需求从而指导设计数据可视化系统的GUI(Graphical User Interface),将现有的WISDOM任务模型进行优化与改进,并定义好WISDOM模型在整个软件生命周期中具体使用方式。在数据可视化图形用户界面的系统设计中应用WISDOM任务模型,将软件开发生命周期的其他部分与用户界面的开发过程很好地结合在一起。经实践表明,改进后的WISDOM任务模型可以准确地获取用户需求,快速地形成用户界面原型,提高了软件开发的效率。对数据可视化系统GUI设计的研究具有重要的现实意义和实用价值。

Simulation of Cyber-Physical Systems of Systems： Some Research Areas-Computational Understanding, Awareness, and Wisdom

After a brief emphasis about the interconnected world, including Cyber-Physical Systems of Systems, the increasing importance of the decision-making by autonomous, quasi-autonomous, and autonomic systems is emphasised. Promising roles of computational understanding, computational awareness, and computational wisdom for better autonomous decision-making are outlined. The contributions of simulation-based approaches are listed.

Ecclesiastical Wisdom and the Absurd in Hamlet

The element of absurd in Shakespeare's plays has its roots in Old Testament wisdom literature, particularly in the book of Ecclesiastes. The thesis gives some examples from the book of Ecclesiastes to present the existence of the absurd and shows several elements in Hamlet.

On the Wisdoms of Human Life Embodied in Robert Frost's Poems-A Brief Analysis of Motifs of Robert Frost's Poems

Robert Frost is one of the famous poets of the 20th century American literature who won the Pulitzer Prize for four times. The reason for his popularity is partially because he employs traditional verse form and iambic pentameter pattern in poem writing, but the most important reason for the reputation of his poems lies in the thematic concern of something universal, such as death and life, love and hate, war and peace, the good and the evil, the wisdom of human life and etc. . A brief analysis will be given in the following text about the wisdoms of human life embodied in Robert Frost's poems from three aspects: 1. Relaxation and responsibility of man. 2. The decisions in life.

The Inheritance and Development of Chinese Narrative Medicine Practice to the Philosophical Wisdom of Traditional Chinese Medicine

Starting from the inheritance and promotion of Chinese life philosophy and traditional Chinese medicine wisdom by Chinese narrative medicine practice,this paper discusses the inheritance and echo relationship between the“close textual reading ability”in Chinese narrative medicine practice and the“four diagnoses”in traditional Chinese medicine wisdom,narrative mediation and the“mind-body holistic philosophy”in traditional Chinese medicine,and narrative wisdom and Dao Sheng in Chinese life philosophy.Meanwhile,by analyzing the stories of contemporary doctors’practice of narrative intelligence,this paper expounds that Chinese narrative medicine is a new model of medical education and clinical practice based on the absorption of Chinese traditional life wisdom and the essence of traditional Chinese medicine culture,and the integration of western narrative medicine concepts.It also advocates Chinese scholars to actively build the discipline of“narrative traditional Chinese medicine,”constantly translate the academic achievements to foreign countries,and create a good narrative ecology of traditional Chinese medicine.

Design of SWJU Rim Wisdom City Maker Space: A Case Study of Undergraduate Course Design of Urban and Rural Planning

In architectural design course of the SWJU Rim Wisdom City Hotel, the authors explored the innovation and business model of the maker space, analyzed the junctions between future needs of innovation and business activities and hotel functions, took the SWJU Rim Wisdom City as the design background, made the hotel design scheme based on research fruits and conceptual logic, and finished the coursework from research to design.