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Research on Remote Operation and Maintenance of Heat Treatment Factory Integrated with 5G and digital Twin 23rd

Research on Remote Operation and Maintenance of Heat Treatme...

引用

23rd Asia Simulation conference, AsiaSim 2024

作者： Cui, Ying Qin, Lin Song, Xiao Zhang, Junfan School of Cyber Science and Technology Beihang University Beijing100191 China Beijing Starter Technology Co. Ltd. Beijing100191 China

ISBN: (纸本)9789819772247

In recent years, the mature application of 5G technology and the introduction of policies related to the "Industry 4.0" era in intelligent manufacturing have greatly promoted the exploration of new modes of intelligent manufacturing, thereby facilitating the upgrading and transformation of the manufacturing industry. Through research on 5G technology and digital twin technology, the automation and monitoring of inspection operations information in heat treatment factories have been achieved. Addressing the current issues of low transparency, single-mode, poor real-time performance, and lack of models in the production process monitoring of heat treatment furnaces, this paper proposes a research scheme for remote operation and maintenance of heat treatment factories integrated with 5G and digital twin technology. Based on a web-designed graphical model-oriented digital twin application system, it realizes unified monitoring of multi-dimensional production states with full-domain, 3d visualization, and ultra-low-latency data collection and transmission based on 5G. Application results in a certain enterprise’s heat treatment workshop show that this scheme can effectively meet the enterprise’s production monitoring needs, improve factory operation and maintenance efficiency, and product qualification rate, and achieve paperless, automated, digitalized, and intelligent operation and maintenance of heat treatment factories. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Smart manufacturing

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Smart Assistive 3d Tool to Remedy Children's Learning difficulties for distance Education 23

Smart Assistive 3D Tool to Remedy Children's Learning Diffic...

引用

23rd international Arab conference on Information technology, ACIT 2022

作者： Mustafa, dheya Mustafa, Intisar Ghazi Zriqat, Samah Althebyan, Qutaibah College of Engineering The Hashemite University Dept. of Computer Engineering Zarqa3113131 Jordan College of Education Qatar University Dept. of Educational Sciences Doha Qatar Yarmouk University Dept. of Information Technology and Computer Science Irbid Jordan College of Engineering Al Ain University Al Ain United Arab Emirates

ISBN: (纸本)9798350320244

COVId-19 has accelerated the shift away from the traditional classroom to online learning around the globe. despite its advantages, students could not easily adapt to the challenges of transition overnight. To remedy academic difficulties that arise with online education, this paper introduces an assistive 3d educational tool for slow learners in elementary school, mainly for Arabic, English, and Math subjects. The proposed tool can be fully integrated with remedial programs to help students who could not adapt to distance learning during the pandemic, slow learners, or even students who cannot attain school. This tool automatically adapts to students' weaknesses and classifies students based on academic performance rather than age. Furthermore, it provides an easy-to-use interface for teachers to customize it using their own content and game scenarios. © 2022 IEEE.

关键词： Students

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Visual Localization of Intersections on Autonomous Vehicles Based on Hd Map 23

Visual Localization of Intersections on Autonomous Vehicles ...

引用

23rd international conference on Control, Automation and Systems, ICCAS 2023

作者： Utsula, Bizza S. Ashedananta, Muhammad d. Azis, Nadana A. Nazaruddin, Yul Y. Nadhira, Vebi Institut Teknologi Bandung Faculty of Industrial Technology Department of Engineering Physics Bandung40132 Indonesia Institut Teknologi Bandung Engineering Physics Doctoral Program Faculty of Industrial Technology Bandung40132 Indonesia Instrumentation and Control Research Group Institut Teknologi Bandung Faculty of Industrial Technology Bandung40132 Indonesia

ISBN: (纸本)9788993215274

The increasing number of autonomous vehicles will result in a safety factor that must be maintained. One of the crucial prerequisites for this is proper localization, especially at intersections where most road accidents occur each year. This research is proposed to improve the localization process, which has drawbacks such as the inaccurate Global Positioning System (GPS) when satellite signals are blocked, and Light detection and Ranging (LidAR), which is expensive and needs heavy computing time. This is done by implementing the High definition Map (Hd Map) method, which maps the condition of an area that is stored as memory on an autonomous vehicle computer. The proposed system uses a monocular camera to be processed into a semantic segmentation feature map at the pixel level, then uses point cloud to reconstruct a 3d intersection model, which is then segmented semantically as well so that position data is obtained after merging using the occupancy grid and scoring function. The results of this CNN-based approach localization produce less accuracy and Mean Intersection over Union (MIoU) values with 60% average accuracy and 62.3 MioU when compared to GPS data and other 3d semantic segmentation systems, but the proposed approach can save costs and computational burden. © 2023 ICROS.

关键词： Autonomous vehicles

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Experimental Report on digital Twin System to Assist in deep Snow Removal Works 23

Experimental Report on Digital Twin System to Assist in Deep...

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23rd international conference on Control, Automation and Systems, ICCAS 2023

作者： Izutsu, Shunsuke Tanifuji, Naoto Hasegawa, Tadahiro Yuta, Shin'ichi Kato, Tomoyuki Shiraishi, Motoyuki Kanoh, Naoki Sunaga, Shinsuke Graduate School of Engineering and Science Shibaura Institute of Technology Toyosu 3-7-5 Koto-ku Tokyo Japan Seibu Construction Co. Ltd Kusunokidai 1-11-1 Saitama Tokorozawa Japan

ISBN: (纸本)9788993215274

A digital twin system to assist deep snow removal works was developed and experimentally verified at a snow removal site. This assist system, which real-time displays multiple vehicle models on a 3d environmental map in snow-free conditions, enables vehicle's operators to accurately identify the relationship between the position and posture of the vehicle and the terrain/ground objects that require attention during snow removal. In addition, it estimates and displays not only the actual behavior of the vehicle but also the height of the snow cover to the road and the distance to the mountain slope as necessary information for snow removal work. The experimental results showed the potential application as an assist system for deep snow removal works. © 2023 ICROS.

关键词： Snow

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Automatic Multi-Sensor dataset Generation in Autonomous Vehicle Environments 23

Automatic Multi-Sensor Dataset Generation in Autonomous Vehi...

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23rd international conference on Machine Learning and Cybernetics, ICMLC 2024

作者： deng, Zong-Yue Kang, Li-Wei Chiang, Hsin-Han National Taiwan Normal University Department of Electrical Engineering Taipei Taiwan National Taipei University of Technology Department of Vehicle Engineering Taipei Taiwan

ISBN: (纸本)9798331528041

This paper presents a comprehensive method for dataset construction, utilizing 3d object detection to automatically label objects detected by LidAR sensors and synchronizing multi-sensor labeling through coordinate calibration, thereby automatically generating image and radar datasets that support various learning algorithms. Initially, the cocalibration from the camera, radar, and LidAR sensors is conducted to standardize the coordinate system based on the LidAR. The camera output includes image information, encompassing object depth and related data. The radar sensor, particularly in automotive applications, returns data on the position of objects in front of the vehicle. Further, the Hungarian Algorithm is employed to analyze the association between radar and camera-detected objects. The proposed collaboration process with software workflow for automatic dataset generation with multi-sensors is detailed in this study. Finally, the preliminary results from sensor fusion over single-sensor modalities to object detection applications are presented to facilitate the efficient and rapid development of our approach to multi-sensor dataset generation, which is still extremely limited to the optical counterparts in autonomous vehicle environments. © 2024 IEEE.

关键词： Radar imaging

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Optimization of O2 Plasma Treatment on Cu Surface for Hybrid Cu Bonding 23

Optimization of O2 Plasma Treatment on Cu Surface for Hybrid...

引用

23rd international conference on Electronics Packaging, ICEP 2024

作者： Park, Sangwoo Lee, Sangmin Choi, Junyoung Kim, Sarah Eunkyung Seoul National University Of Science And Technology Department Of Semiconductor Engineering Korea Republic of

ISBN: (纸本)9784991191176

Pre-surface treatment in hybrid Cu bonding is plays a crucial role in improving bonding quality. Among the various pre-surface treatment methods, O2 plasma treatment is known to significantly enhance a mechanical bonding property of dielectric-to-dielectric bonding. In this study, we focused on optimizing the condition of O2 plasma treatment for enhancing the quality of Cu bonding and studing the bonding mechanism. The condition for O2 plasma treatment were optimized using the Response Surface Methodology (RSM) based on design of Experiments (dOE), utilizing the results obtained from X-ray Photoelectron Spectroscopy (XPS). Subsequently, bonding was conducted at 260°C and 1.4 MPa for 1 hour. Following this, annealing was performed at 200°C for an additional hour. The bonding mechanism was analyzed through Transmission Electron Microscopy (TEM) analysis. Through this study, it is possible to understand the effect of O2 plasma on the Cu surface and its role in hybrid Cu bonding. © 2024 Japan Institute of Electronics Packaging.

关键词： X ray photoelectron spectroscopy

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deep Neural Network Modeling for Traveling Wave Tube 23

Deep Neural Network Modeling for Traveling Wave Tube

引用

23rd international Vacuum Electronics conference, IVEC 2022

作者： Tan, Zheng Huang, WeiBo Hu, YuLu Gao, LuanFeng Hu, Quan Zhu, XiaoFang Huang, Tao Li, Bin Yang, ZhongHai School of Electronic Science and Engineering University of Electronic Science and Technology of China National Key Laboratory of Science and Technology on Vacuum Electronics No.2006 XiYuan avenue Chengdu611700 China No.504 East Chang'an Street Xi'an710100 China

ISBN: (纸本)9781665443258

In order to accelerate the speed of modeling and optimization of traveling wave tubes, this paper applies deep neural network to the design of traveling wave tube. This paper uses the script written by Python to drive 3d simulation software to model and simulate the pill-box window model. Experimental results show that this method can shorten the design time and improve design accuracy. The feasibility of this method in traveling wave tube is verified. © 2022 IEEE.

关键词： deep neural networks

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AUV Path Planning Based on Improved Sparrow Search Algorithm 23

AUV Path Planning Based on Improved Sparrow Search Algorithm

引用

23rd IEEE international conference on Communication technology, ICCT 2023

作者： Wang, Siyuan Sun, Qian Ning, Beixi Zhou, Xingyu College of Information and Communication Harbin Engineering University Key Laboratory of Advanced Marine Communication and Information Technology Harbin China

ISBN: (纸本)9798350325959

An improved sparrow search algorithm (ISSA) is used to study the three-dimensional path-planning problem of automatic underwater vehicle (AUV). Use mathematical models to build the environment and construct an energy consumption model based on the AUV and environmental conditions. Firstly, based on the upper confidence bound algorithm (UCB), the iterative population size is improved to utilize search resources at different times fully;Secondly, considering the undirected search of the discoverer, an adaptive greedy algorithm is adopted to enhance convergence accuracy;Finally, improve the evolutionary strategy of discoverers and threatened sparrows to reduce the algorithm falling into local optima. The simulation results show that ISSA has better global optimization capability, making it more suitable for AUV 3d path planning. © 2023 IEEE.

关键词： Adaptive greedy algorithm Automatic underwater vehicle Sparrow search algorithm Upper confidence bound

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Routing in 3d NoCs Using Genetic Algorithm and Particle Swarm Optimization 23rd

Routing in 3D NoCs Using Genetic Algorithm and Particle Swar...

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23rd international conference on Computational Science and its Applications (ICCSA)

作者： Bougherara, Maamar Nedjah, Nadia Bennouar, djamel Mourelle, Luiza de Macedo Bouira Univ LIMPAF Lab Bouira Algeria Ecole Normale Super Kouba Dept Informat Algiers Algeria Univ Estado Rio De Janeiro Dept Elect Engn & Telecommun Rio De Janeiro Brazil Univ Estado Rio De Janeiro Dept Syst Engn & Computat Rio De Janeiro Brazil

ISBN: (纸本)9783031371042;9783031371059

Networks-on-chip are a new concept in System-on-chip interconnections, facilitating and optimizing complex components integration. However, as it is a new technology, it still requires some research, especially concerning the acceleration and simplification of design phases. Networks-on-chip can be arranged in different topologies, such as hypercube, mesh and torus. Since several data packets can be transmitted simultaneously through the network, an efficient routing strategy must be used in order to avoid congestion delays. In this paper, we propose and evaluate the performance of two routing methods, based on genetic algorithm and particle swarm optimization, for Networks-on-chip with 3d mesh topology. The routing is driven by the minimization of total latency in packets transmission between tasks. The simulation results show that the routing based on genetic algorithm and particle swarm optimization outperforms other routing algorithms in terms of latency.

关键词： 3d Networks-on-chip Routing Genetic algorithm Particle swarm optimization Congestion

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development of a web Application to Support Validation of Indoor Robots Using AR

Development of a Web Application to Support Validation of In...

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international conference on Control, Automation and Systems ( ICCAS)

作者： Kento Hirose Masanobu Koga Creative Informatics Kyushu Institute of Technology Iizuka Fukuoka Japan

In this paper we report on the web application which was developed to help users considering the purchase of an indoor robot to verify the effectiveness of the robot in their environment of use. The application uses a robot model in rdTF format that works in a web browser. For the simulation calculations, it use a physical calculation engine compiled with webAssembly or other tools to run at high speed, so that the robot can run at high speed even in a web browser. Similarly, for animation, it use a library compatible with webGL, which enables high-speed display on a web browser. In order to enable users to check the results of the indicated task and confirm the validity of the robot's purchase by checking the 3d animation in the operating environment, the trajectory of the task is generated in conjunction with ROS.

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