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A 5G-TSN Joint Scheduling Mechanism Considering Finite Buffer in DS-TT 9

A 5G-TSN Joint Scheduling Mechanism Considering Finite Buffe...

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9th international conference on Computer and communications, ICCC 2023

作者： Hu, Xinyu Sun, Lei Li, Wei Wang, Jianquan University of Science and Technology Beijing Insititute of Industrial Internet Beijing100083 China University of Science and Technology Beijing School of Computing and Communication Engineering Beijing100083 China University of Science and Technology Beijing School of Automation and Electrical Engineering Beijing100083 China

ISBN: (纸本)9798350317251

With the advent of Industry 4.0, 5G and Time Sensitive Networking (TSN) are emerging as wireless deterministic communication network to provide solid QoS guarantee for industrial automation services. For 5G-TSN collaboration system, two important gateways are introduced in both network and end device side to support TSN protocols, named as Network-side TSN Translator (NW-TT) and Device-side TSN Translator (DS-TT) respectively. However, 5G and TSN are totally different in terms of resource type, scheduling methodology and management protocols, in order to provide latency guarantee for time-triggered flows across 5G and TSN, as well as to make two different scheduling of 5G and TSN coordinately, a 5G-TSN joint scheduling mechanism based on enhanced Maximum Latency Weighted Delay First (eMLWDF) is proposed and analyzed in this paper. The proposed mechanism designs an adaptive factor in scheduling procedure to make well balance between achieving low latency in 5G and avoiding buffer overflow in DS-TT. Furthermore, some packet will arrival at the priority queue in DS-TT later than the period of "ON"for that queue due to fluctuations of radio channel, to avoid this situation, a frame preemption scheme is adopted to provide latency guarantee. Simulation results demonstrate that the proposed mechanism can satisfy the latency requirements of time-triggered flows as well as reduce data buffer volumes in DS-TT, aiming to provide deterministic communication guarantee for data transmission across 5G and TSN. © 2023 IEEE.

关键词： Machine design

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Multilayer network representation learning model with structure entropy information 3

Multilayer network representation learning model with struct...

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3rd international conference on Artificial Intelligence, automation, and High-Performance computing, AIAHPC 2023

作者： Wu, Yong Yan, Guanghui Luo, Hao School of Electronics and Information Engineering Lanzhou Jiaotong University Lanzhou730070 China Key Laboratory of Media Convergence Technology and Communication Lanzhou730030 China School of Information Science and Engineering Gansu University of Traditional Chinese Medicine Lanzhou730030 China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

Network representation learning maps network nodes to a unified vector space, which has found widespread use in various complex network analysis tasks. The resulting embedding vectors can reflect the original network's features and improve the accuracy of downstream tasks. However, current multi-layer network representation learning models have limited node sequence semantics and cannot fully capture the node's local and global structural information. To address this issue, we propose a multi-layer network representation learning model that integrates structural entropy information. Our model comprehensively considers the local and global structure of a multi-layer network, using local structure entropy and network standard structure entropy to guide the intra-layer and inter-layer migration processes, and then trains the node sequence using the skip-gram model to obtain the node vector. Experimental results on five public datasets demonstrate that our proposed model's embedding vector quality is significantly improved, with AUC scores on different datasets improving by 5% to 10% in the link prediction task. © 2023 SPIE.

关键词： Complex networks

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Cognitive controller for 6G-Enabled Edge Autonomic 14

Cognitive Controller for 6G-Enabled Edge Autonomic

引用

14th international conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th international conference on Emerging Data and Industry 4.0, EDI40 2023

作者： Rahmani, Rahim Firouzi, Ramin Sadique, Kazi Masum Department of Computer and Systems Sciences Stockholm University Sweden

This article proposes a new Artificial Intelligent (AI) and Machine Learning (ML) based framework for 6G-enabled Intelligent edge computing. The framework will be equipped with multiple cognitive controllers to harmoniously control various aspects in distributed intelligence toward edge nodes collaboration. Autonomic cognitive controller for edge computing is a popular computing paradigm where the distributed metadata processing and edge intelligence are performed at edge node in 5G/6G network for management, connectivity and interoperability. Some of studies focused on edge management improvement such as reduce the response time and bandwidth costs. However, the previous approaches are inadequate to support autonomously management for large-scale deployment for connectivity for dynamic and reliable communication. We propose a cognitive controller for edge autonomy and collaboration application development. Finally, we discuss challenges and open issues toward cognitive controller and distributed edge intelligence. © 2023 Elsevier B.V.. All rights reserved.

关键词： Edge computing

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Microstrip Patch Antenna Simulation for Cranial Implant 1

Microstrip Patch Antenna Simulation for Cranial Implant

引用

1st IEEE international conference on automation, computing and Renewable Systems, ICACRS 2022

作者： Keerthiga, K. Najira Banu, M. Jayabharathy, K. Department of Electronics and Communication Engineering IFET College of Engineering TamilNadu Villupuram India

ISBN: (纸本)9781665460842

The ultimate objective of this work is to simulate an antenna for medical applications. The Antenna is made to Resonate at a particular frequency or specific application. Microstrip patch antenna Brings true awareness to the powerful devices they connect and simplify the lives. Its modest size and simple construction make it highly appealing. Microstrip Patch Antenna is made to resonate at 5.8 GHz for a cranial implant. CST Microwave Studio, a commercially available simulation program, was used to create the simulation of the Microstrip Patch Antenna. Slots are created at the patch such that it resonates at a particular frequency. Various return loss value is obtained at several frequencies. The return loss and gain obtained from the antenna is up to -34.4dB and 3.60214 respectively. © 2022 IEEE

关键词： Medical applications

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Development of a 5G-Enabled and AI-Powered Agricultural Picking Robot control Module

Development of a 5G-Enabled and AI-Powered Agricultural Pick...

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2023 international conference on Applied Physics and computing, ICAPC 2023

作者： Yu, Jianxiang Maalla, Maher Maalla, Allam School of Engineering Guangzhou College of Technology and Business Guangdong Guangzhou510850 China School of Computer Technologies and Control Itmo University Saint Petersburg197101 Russia

ISBN: (纸本)9798350359244

The escalating challenges faced by the agricultural industry, characterized by labor shortages, and rising costs, underscore the imperative for innovative solutions. This study explores the transformative potential of Intelligent Harvesting Systems in revolutionizing fruit harvesting, with a focus on assessing feasibility and understanding implications within the fruit industry. The integration of cutting-edge technologies, specifically 5G communication and artificial intelligence (AI), plays a pivotal role in the design and evaluation of a control module for an agricultural picking robot. The feasibility assessment encompasses an in-depth exploration of the technological, economic, operational, and environmental. Experimental evaluations conducted in controlled environments and real-world settings showcase the system's high picking speed, accuracy, and adaptability to diverse produce sizes. The outcomes of this research not only align with the initial objectives of enhancing harvesting efficiency and reducing labor costs but also hold promise for a sustainable and resource-efficient agricultural future. The positive synergy between 5G communication and AI technology emerges as a driving force behind the system's exceptional performance. This study not only contributes to the immediate advancements in intelligent harvesting but also lays a robust foundation for continued innovation, setting the stage for further exploration and refinement in this dynamic field. © 2023 IEEE.

关键词： 5G mobile communication systems

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Design, control and Experiments of An Agile Omnidirectional Mobile Robot with Active Suspension 18

Design, Control and Experiments of An Agile Omnidirectional ...

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IEEE 18th international conference on automation Science and Engineering (IEEE CASE)

作者： Jiang, Shixing Li, Zhuolun Lin, Shiyuan Shi, Wujie Zhu, Zheng Che, Haichuan Yin, Siyuan Zhang, Chi Jia, Zhenzhong Southern Univ Sci & Technol SUSTech Shenzhen Key Lab Biomimet Robot & Intelligent Sys Dept Mech & Energy Engn Shenzhen 518055 Peoples R China Southern Univ Sci & Technol SUSTech Dept Mech & Energy Engn Guangdong Prov Key Lab Human Augmentat & Rehabil Shenzhen 518055 Peoples R China

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

Omnidirectional vehicles (ODVs) have wide applications, but most of them (e.g., mobile robots with omni-, Mecanum, or spherical wheels) are mainly designed for indoor use on flat and smooth terrains. Literature review indicates that mobile robots based on the "self-sustained" active split offset caster (ASOC) module design that uses conventional wheels (e.g., rubber tires) is more suitable to execute agile maneuvers in unstructured rough terrains. However, these robots often have time delay and synchronization issues caused by the wireless transmission of control signals and the wheel-terrain contact-breaking issues (some wheels are lifted off from the ground), which often lead to poor motion control and trajectory tracking performance when executing high speed turns. To solve these problems, through improved ASOC module design, active suspension design, and control algorithm design, we develop an ASOC-based mobile robot capable of active body posture control and agile omnidirectional mobility. We give detailed explanations of its design philosophy and working principle. Experiment results indicate that our proposed robot can achieve much better performance in challenging tests such as negotiating uneven ground and executing very sharp turns at high speed.

关键词： Wireless communication Philosophical considerations Trajectory tracking Delay effects Wheels Tires Mobile robots

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Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning 22

Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Lea...

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22nd IEEE international conference on Industrial Informatics, INDIN 2024

作者： Cao, Weipeng Yao, Xuyang Xu, Zhiwu Pan, Yinghui Sun, Yixuan Li, Dachuan Qiu, Bohua Wei, Muheng Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Stony Brook University New York United States Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China ZhenDui Industry Artificial Intelligence Co. Ltd Shenzhen China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9798331527471

Realizing Generalized Zero-Shot Learning (GZSL) based on large models is emerging as a prevailing trend. However, most existing methods merely regard large models as black boxes, solely leveraging the features output by the final layer while disregarding potential performance enhancements from other layers. Indeed, numerous researchers have visually depicted variations in the features learned across different layers of neural networks. Motivated by this observation, we propose a Vision Transformer (ViT)-based GZSL method named Depth-Aware Multi-Modal ViT (DAM2ViT), which exploits multi-level features of ViT. DAM2ViT incorporates a multi-modal interaction block to align semantic information of categories across multiple layers, thereby augmenting the model’s capacity to learn associations between visual and semantic spaces. Extensive experiments conducted on three benchmark datasets (i.e., CUB, SUN, AWA2) have showcased that DAM2ViT achieves competitive results compared to state-of-the-art methods. © 2024 IEEE.

关键词： Zero-shot learning

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Design and Implement a Mesh Network communication for Smart Home automation

Design and Implement a Mesh Network Communication for Smart ...

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Advance computing and Innovative Technologies in Engineering (ICACITE), international conference on

作者： Pushkar Chaudhary Jesika Sharma Rakesh Kumar Gupta Geetika Aswani Department of Electrical and Electronics Engineering ABES Engineering College Ghaziabad U.P. India Department of Orbit ABES Engineering College Ghaziabad U.P. India

This research paper presents a novel approach to smart home automation utilizing the ESP32, the Blynk app, and a manual switch. The system enables the control of 16 channel relays both online and offline while providing real-time tracking of their status. The Internet of Things (IoT) is a prominent research area in communication engineering, whereas wireless mesh networks, a long-standing network topology, remain underutilized. Mesh networks are widely employed in machine-to-machine communication and IoT devices as they facilitate local device-to-device communication without the need for a router. Many existing smart home automation systems face the challenge of decentralized connections, requiring repeated device connections for each room. This issue is particularly prominent in large houses or companies, making mesh networks an ideal solution. To address this gap, this paper introduces the application of mesh network technology in conjunction with the current IoT network. The system is designed, simulated, and implemented using cost-effective double-sided copper-clad flexible PCB substrates to achieve centralized control of automated devices. Experimental tests conducted with the fabricated PCB demonstrate real-time monitoring of connected appliances, as well as the collection of temperature and humidity data.

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automation in Fog Cloud assisted Internet of Things Ecosystem: Challenges, Components and Protocols

Automation in Fog Cloud assisted Internet of Things Ecosyste...

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2023 IEEE international conference on Innovative Data communication Technologies and Application, ICIDCA 2023

作者： Soni, Tanishq Gupta, Deepali Uppal, Mudita Dutta, Monica Sharma, Avinash Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Computer Science and Engineering Ambala Haryana Mullana133207 India

ISBN: (纸本)9798350397208

The amount of physical objects and sensors used in internet of things technology is increasing constantly but due to the high latency of loT data, it is unable to host this data by Cloud computing. There has not been sufficient research on automating components to cope with real-time tasks and big data in Fog - Cloud assisted Internet of Things ecosystem, despite all challenges in processing big data of loT sensors present on the cloud. For example, devising automated data transfer to the cloud layer from the fog layer that includes massively distributed appliances is difficult. Dealing with decentralized appliances in fog and loT layer, and considering fog as a supporting processing layer led to assume other automated means to handle the current heterogeneity. The heterogeneity and big data challenges helped in making other automated components for fog resilience that have addressed the third challenge of the ecosystem. The processing of tasks in loT layer becomes autonomous of the cloud layer due to fog resiliency. The main innovation of this study is to explore and investigate automatic functions to form a taxonomy that assists researchers to develop algorithms for various applications of loT. Through this scientific research, the authors showed automatic functions with respect to each challenge. © 2023 IEEE.

关键词： Internet of things

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Development of Robot for Intelligent Surrounding Recognition and Direction control 1

Development of Robot for Intelligent Surrounding Recognition...

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1st IEEE international conference on Advances in Electronics, communication, computing and Intelligent Information Systems, ICAECIS 2023

作者： Sohan, K. Angadi, Vinayak Kuberappa Vaishak, M. Bairwa, Bansilal REVA University SoEEE Bengaluru560064 India

ISBN: (纸本)9798350348057

The proposed work involves the development of a robot that can intelligently recognize its surroundings and navigate in a specified direction. The robot's design incorporates several components, including a motor, IR sensor, motor driver, Arduino UNO, power supply, and push-button. The robot's specifications include a weight of 25 kg, 500 RPM 12 volt DC motor, 120mm diameter wheels, a maximum weight limit of 35 kg, a maximum operation time of 12 hours, and a height of 1.5 meters. The robot's objective is to operate autonomously while accurately detecting obstacles in its surroundings and navigating towards its intended direction. The proposed work aims to develop a prototype that can potentially be used for various applications, such as environmental monitoring, surveillance, and automated delivery systems. The implementation of the proposed robot could lead to increased efficiency and productivity in various industries while minimizing the risks associated with human intervention. The proposed work aims to contribute to the development of advanced robotics technology that can significantly improve the quality of life and enhance the capabilities of human society. © 2023 IEEE.

关键词： DC motors

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