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Study of industrial interactive design system based on virtual reality teaching technology in industrial robot

Paladyn 2022年第1期13卷 45-55页

作者： Liu, Ying Kukkar, Ashima Shah, Mohd Asif College of Art Zhengzhou Railway Vocational & Technical College Zhengzhou450000 China Department of Computer Science Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science Bakhtar University Kabul Afghanistan

Across numerous disciplines, virtual reality (VR) had been used to aid decision-making in training, design, and evaluation processes. Both the educational and industrial groups have contributed to a vast knowledge based on a variety of VR topics during the last two decades. VR has been expanded to industry in recent years, but the majority of its applications do not involve industrial robots. To study the application of VR technology in industrial design, it is better to combine the design activities with computer-integrated manufacturing system and bring new opportunities for the innovation of industrial design. Therefore, in this article, an application of industrial interactive design system based on VR technology in the education domain is explored. First, the function and scheme design of industrial robot assembly and adjustment system are designed, and the model is established. Finally, SolidWorks and 3DsMAX are selected as three-dimensional model development tools. Unity 3D is used as the VR development engine;HTC VIVE is used as VR equipment. The study shows that the design of the machine motion instruction interpreter is effective, and the specific steps of the system to realize real-time control are also given. The feasibility of the system is verified through the analysis of typical applications of industrial robots. © 2022 Ying Liu et al.

关键词： Virtual reality

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Smart Job Scheduling Model for Cloud Computing Network Application

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SN computer science 2024年第1期5卷 39页

作者： Onyema, Edeh Michael Gude, Venkataramaiah Bhatt, Ashutosh Aggarwal, Ambika Kumar, Sunil Benson-Emenike, Mercy Eberechi Nwobodo, Lois Onyejere Department of Vocational and Technical Education Faculty of Education Alex Ekwueme Federal University Ndufu-Alike Abakaliki Nigeria Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai 602105 India GP Technologies LLC Texas United States Department of Computer Science and Engineering Shivalik College of Engineering Dehradun India School of Computer Science University of Petroleum and Energy Studies Dehradun India Department of Computer Science Federal University of Technology Owerri Nigeria Department of Computer Engineering Enugu State University of Science and Technology Enugu Nigeria

Task scheduling is one of the significant factors for heterogeneous type of elements in multi-cloud computing environment. It is to delegate activities to most adequate resources to raise the performance with respect to some dynamic parameters. The suggested model of scheduling was designed to run applications of cloud computing which applied in three steps (classifying, execution, minimization, and rating) and is assumed to be completion time, average waiting and turnaround time, and render duration as output parameters. The tasks’ execution time in cloud computing applications was created in the task scheduling model by exponential and normal distribution. The task ranking depends on the shortest strategy for First Job and the results are compared with other “Largest Processing Time” and “First Come First Serve” ranking method. Scheduling model proposed provides significant output than per performance parameters specified. © 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Cloud computing Directed acyclic graph (DAG) Smart scheduling

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Research on CMUTs Design with Different Cell Arrangements

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Recent Patents on Engineering 2024年第1期18卷 110-118页

作者： Cao, Xuewen Yu, Yuanyu Liu, Xin Ma, Jingyi Zhang, Hua Wang, Lijia Intelligent Manufacturing Institute Hebei Vocational University of Industry and Technology Shi Jiazhuang050091 China School of Artificial Intelligence Neijiang Normal University Neijiang641100 China State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macau 999078 China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macau 999078 China

Background: Capacitive micromachined ultrasonic transducers (CMUTs) is a promising component of mechanical-electrical-acoustical conversion, which shows valuable applications in non-distructive testing and obstacle detection fields. In order to study the influence of dimension parameters on the directivity of CMUTs, the three-dimensional multi-physics coupling model is proposed for CMUTs in this paper. Methods: The model combines multiple physical fields through finite element method (FEM), which is more efficient and accurate. The influence of dimension parameters on the transducer is studied from two aspects: the pitch between adjacent cells and cell number, respectively. Results: When increasing the pitch, the directivity becomes better if the pitch is less than half of the wavelength, the grating lobe and side lobe are aroused. However, the bandwidth at-3dB is reduced by up to 71.1% at the same time. When increasing the cell number, the better the direcitvity, while the change of the cell number has little effect on the bandwidth of the array. However, 5.4% frequency shift was caused due to the effective mass change of the transducer. Conclusion: In this study, a 3D model based on FEM is proposed for the influence of dimension parameter on CMUTs. The simulation results indicate that the directivity can be enhanced by chang-ing the dimension. At the same time, it also introduces other performance issues, such as bandwidth decrease and frequency shift through this approach. Therefore, the simulation proposed the guidance of CMUTs performance optimization and patented technology application work in the future. © 2024, Bentham science Publishers. All rights reserved.

关键词： Finite element method

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不同湿度条件下砂岩的单轴压缩力学特性及其劣化机理研究

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Journal of Central South University 2023年第12期30卷 4252-4267页

作者：吴秋红杨毅张科学李逸婧陈伟刘兆丰 Work Safety Key Laboratory on Prevention and Control of Gas and Roof Disasters for Southern Coal Mines Hunan University of Science and TechnologyXiangtan 411201China School of Resource Environment and Safety EngineeringHunan University of Science and TechnologyXiangtan 411201China Hebei Key Laboratory of Mine Intelligent Unmanned Mining Technology North China Institute of Science and TechnologyBeijing 101601China Department of Building Engineering Hunan Institute of EngineeringXiangtan 411104China

为了探究矿山高湿环境下围岩体的力学特性,基于自制的湿度环境控制模拟装置,研究单轴压缩条件下不同相对湿度条件(70%,80%,90%和100%)下的砂岩试样的力学特征及劣化机理。研究结果表明:1)随着环境相对湿度的增加,砂岩的孔隙度逐渐增加,... 详细信息

为了探究矿山高湿环境下围岩体的力学特性,基于自制的湿度环境控制模拟装置,研究单轴压缩条件下不同相对湿度条件(70%,80%,90%和100%)下的砂岩试样的力学特征及劣化机理。研究结果表明:1)随着环境相对湿度的增加,砂岩的孔隙度逐渐增加,而质量和强度均明显降低,但湿度对试件的腐蚀能力在达到一定时间后变弱;2)在单轴压缩条件下砂岩的声发射变化规律与应力演化特征较为一致,高湿环境下试样声发射事件数量比干燥条件下明显减少;3)随着环境相对湿度的增大,砂岩破碎的分形维数逐渐增大,分形位置参数和碎块尺度参数值逐渐变小,砂岩破坏后碎块尺寸和分布集中程度逐渐变小。4)砂岩钠长石和方解石峰值衍射强度及矿物含量均随相对湿度的增大而降低,而微裂纹大小及数量则随相对湿度的增大而增大,高湿环境下砂岩的损伤劣化机理包含了物理和化学侵蚀等联合作用结果。研究结果将为矿山高湿环境下围岩稳定性控制提供一定的参考。

关键词：高湿环境砂岩分形维数劣化机理单轴压缩

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Class-attention video transformer for engagement prediction

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Multimedia Tools and Applications 2024年 1-20页

作者： Ai, Xusheng Sheng, Victor Li, Chunhua Yang, Han Cui, Zhiming Software and Service Outsourcing College Suzhou Vocational Institute of Industrial Technology 1 Zhineng Avenue Jiangsu Suzhou215104 China Department of Computer Science Texas Tech University 2500 Broadway LubbockTX79409 United States School of Electronics and Information Engineering Suzhou University of Science and Technology No.1 Kerui Road Jiangsu Suzhou215009 China

In this paper, we propose the Class Attention in Video Transformer (CavT), an end-to-end method designed to process both long and short variant-length videos for student engagement prediction. CavT introduces a single vector for class embedding and incorporates the Binary-Order Representatives Sampling (BorS) technique to augment the dataset by adding multiple video sequences. Our method outperforms the state-of-the-art with MSE values of 0.0495 on the EmotiW-EP and 0.0377 on the DAiSEE datasets, providing a robust and scalable solution for engagement prediction. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Students

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Thermo-hydro-poro-mechanical responses of a reservoir-induced landslide tracked by high-resolution fiber optic sensing nerves

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 1018-1032页

作者： Xiao Ye Hong-Hu Zhu Gang Cheng Hua-Fu Pei Bin Shi Luca Schenato Alessandro Pasuto School of Earth Sciences and Engineering Nanjing UniversityNanjing210023China School of Computer Science North China Institute of Science and Technology(National Safety Training Center of Coal Mines)Beijing101601China State Key Lab of Coastal and Offshore Engineering Department of Geotechnical EngineeringDalian University of TechnologyDalian116024China National Research Council-Research Institute for Geo-Hydrological Protection(CNR-IRPI) Padova35127Italy Department of Information Engineering University of PadovaPadova35131Italy

Thermo-poro-mechanical responses along sliding zone/surface have been extensively ***,it has not been recognized that the potential contribution of other crucial engineering geological interfaces beyond the slip surface to progressive ***,we aim to investigate the subsurface multiphysics of reservoir landslides under two extreme hydrologic conditions(*** and dry),particularly within sliding *** on ultra-weak fiber Bragg grating(UWFBG)technology,we employ specialpurpose fiber optic sensing cables that can be implanted into boreholes as“nerves of the Earth”to collect data on soil temperature,water content,pore water pressure,and *** Xinpu landslide in the middle reach of the Three Gorges Reservoir Area in China was selected as a case study to establish a paradigm for in situ thermo-hydro-poro-mechanical *** UWFBG-based sensing cables were vertically buried in a 31 m-deep borehole at the foot of the landslide,with a resolution of 1 m except for the pressure *** reported field measurements covering the period 2021 and 2022 and produced the spatiotemporal profiles throughout the *** show that wet years are more likely to motivate landslide motions than dry *** annual thermally active layer of the landslide has a critical depth of roughly 9 m and might move downward in warmer *** dynamic groundwater table is located at depths of 9e15 m,where the peaked strain undergoes a periodical response of leap and withdrawal to annual hydrometeorological *** interface behaviors may support the interpretation of the contribution of reservoir regulation to slope stability,allowing us to correlate them to local damage events and potential global *** paper also offers a natural framework for interpreting thermo-hydro-poro-mechanical signatures from creeping reservoir bank slopes,which may form the basis for a landslide monitoring and early warning system.

关键词： Reservoir landslide Thermo-hydro-poro-mechanical response Ultra-weak fiber bragg grating(UWFBG) subsurface evolution Engineering geological interface Geotechnical monitoring

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Cloud Computing: Innovations and Impacts on Global Data Infrastructure

Cloud Computing: Innovations and Impacts on Global Data Infr...

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2025 IEEE International Conference on Computational, Communication and Information technology, ICCCIT 2025

作者： Banumathi, S. Sivajothi, E. Indumathi, G.S. Kefyalew, Enku Yosef Sivakumar, J. Priya, V. Banu Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Computer Science India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Avadi Chennai India St Joseph's College of Engineering OMR Department of MBA Chennai India Technical and Vocational Training Institute Department of Electrical and Electronics Technology Addis Ababa Ethiopia St.Joseph's College of Engineering Department of Electronics and Communication Engineering Chennai India R.M.K. College of Engineering and Technology Department of Mathematics Thiruvallur District India

ISBN: (纸本)9798331512965

Cloud computing has transformed global data infrastructure with unparalleled scale, flexibility, and accessibility. This study examines how cloud computing innovations have changed data storage, processing, and management worldwide. By examining the progression of cloud services from simple storage and computing to sophisticated platforms and SaaS, we examine how they have transformed corporate operations, economic growth, and societal development. Virtualization, containerization, serverless architectures, and edge computing are the main cloud computing advancements, which we investigate through a literature study and case studies. Data security, privacy, and regulatory frameworks are also considered while adopting the cloud. Cloud computing promotes digital transformation in banking, healthcare, education, and government, according to study. The industry's sustainability and green computing efforts and data centers' environmental impacts are also covered. We found that cloud computing continues to spur innovation by enabling new business models, global connectivity, and data-driven application growth. Cloud technologies' integration with AI, IoT, and 5G networks is likely to change the global data infrastructure, opening new research and development options. This report covers the cloud computing landscape, its advancements, and its potential to shape global data management and digital ecosystems. © 2025 IEEE.

关键词： Cloud platforms

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Evolution and modeling of mine water inflow and hazard characteristics in southern coalfields of China:A case of Meitanba mine

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International Journal of Mining science and technology 2022年第3期32卷 513-524页

作者： Jinhai Liu Yanlin Zhao Tao Tan Lianyang Zhang Sitao Zhu Fangyan Xu School of Emergency Technology and Management North China Institute of Science and TechnologyBeijing 101601China Hunan Provincial Key Laboratory of Safe Mining Techniques of Coal Mines Work Safety Key Lab on Prevention and Control of Gas and Roof Disasters for Southern Coal MinesHunan University of Science and TechnologyXiangtan 411201China Department of Civil and Architectural Engineering and Mechanics University of ArizonaTucsonAZ 85721USA School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China Shandong Succeed Mining Safety Engineering CO. LTDTai’an 271000China

In this paper,the hydrogeological characteristics in the southern coalfields of China are first briefly ***,taking the Meitanba mine as an example,the evolution and modeling of mine water inflow are ***,the hazard characteristics related to mine water and mud inrush are *** results show that the main mine water sources in the Meitanba mine area are groundwater,surface water and *** evolution of mine water inflow with time indicates that the water inflow is closely related to the development of karst structures,the amount of water from rainfall infiltration,and the scope of groundwater depression *** mine water inflow increases with time due to the increase in mining depth and the expansion of groundwater depression *** the big well method and following the potential superposition principle,a hydrogeological model considering multi-well interactions has been developed to predict the mine water *** on the monitored data in the Meitanba mine area over a period of nearly 60 years,it is found that with increasing mining depth,the number of water and mud inrush points tended to ***,the average water and mud flow rate per point tended to increase.

关键词： Mine water Hydrogeological model Groundwater Karst mining area

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Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations 41

Stability and Generalization for Stochastic Recursive Moment...

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41st International Conference on Machine Learning, ICML 2024

作者： Pan, Xiaokang Li, Xingyu Liu, Jin Sun, Tao Sun, Kai Chen, Lixing Qu, Zhe Hunan Provincial Key Lab on Bioinformatics School of Computer Science and Engineering Central South University Changsha China Department of Computer Science Tulane University New Orleans United States College of Computer National University of Defense Technology Changsha China School of Computer Science and Technology Xi'an Jiaotong University Xi'an China Institute of Cyber Science and Engineering Shanghai Jiao Tong University Shanghai China

STOchastic Recursive Momentum (STORM)based algorithms have been widely developed to solve one to K-level (K ≥ 3) stochastic optimization problems. Specifically, they use estimators to mitigate the biased gradient issue and achieve near-optimal convergence results. However, there is relatively little work on understanding their generalization performance, particularly evident during the transition from one to K-level optimization contexts. This paper provides a comprehensive generalization analysis of three representative STORM-based algorithms: STORM, COVER, and SVMR, for one, two, and K-level stochastic optimizations under both convex and strongly convex settings based on algorithmic stability. Firstly, we define stability for K-level optimizations and link it to generalization. Then, we detail the stability results for three prominent STORM-based algorithms. Finally, we derive their excess risk bounds by balancing stability results with optimization errors. Our theoretical results provide strong evidence to complete STORM-based algorithms: (1) Each estimator may decrease their stability due to variance with its estimation target. (2) Every additional level might escalate the generalization error, influenced by the stability and the variance between its cumulative stochastic gradient and the true gradient. (3) Increasing the batch size for the initial computation of estimators presents a favorable trade-off, enhancing the generalization performance. Copyright 2024 by the author(s)

关键词： Optimization algorithms

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An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration

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IEEE/CAA Journal of Automatica Sinica 2023年第8期10卷 1772-1774页

作者： Zhihao Hao Guancheng Wang Bob Zhang Leyuan Fang Haisheng Li the Department of Computer and Information Science University of MacaoMacao 999078China the School of Data Science the Chinese University of Hong KongShenzhen 518172 Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen 518000 China Industrial Control Systems Cyber Emergency Response Team Beijing 100040China IEEE the College of Electrical and Information Engineering Hunan UniversityChangsha 410082 the Peng Cheng Laboratory Shenzhen 518000China the Beijing Key Laboratory of Big Data Technology for Food Safety Beijing Technology and Business UniversityBeijing 100048 the School of Computer Science and Engineering Beijing Technology and Business UniversityBeijing 100048China

Dear Editor,This letter deals with a solution for time-varying problems using an intelligent computational(IC)algorithm driven by a novel decentralized machine learning approach called isomerism *** order to meet the challenges of the model’s privacy and security brought by traditional centralized learning models,a private permissioned blockchain is utilized to decentralize the model in order to achieve an effective coordination,thereby ensuring the credibility of the overall model without exposing the specific parameters and solution process.

关键词： ism thereby letter

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