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共 35125 条记录，以下是461-470 订阅

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A Multiphysics Nanorobotic Manipulation System 12

A Multiphysics Nanorobotic Manipulation System

引用

12th international conference on cyber technology in automation, control, and intelligent systems, cyber 2022

作者： Zhang, Wenqi Chen, Donglei Hou, Chaojian Wang, Kun Li, Qingwei Dong, Lixin City University of Hong Kong Department of Biomedical Engineering Hong Kong School of Mechatronical Engineering Beijing Institute of Technology Beijing China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

We propose a multiphysics platform to augment the functions of both nanorobotic manipulation and in-situ transmission electron microscopy (TEM). The cross-platform system enables more advanced capabilities on device prototyping and in-situ characterization such as atomic/elementary level structure analysis and sub-nm scale characterization using multiple physical stimuli such as particles, waves, fields, and forces. © 2022 ieee.

关键词： Multiphysics

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General Quality Attribute Scenario for Reconfigurability in Industry 4.0 Middleware Software Architectures 21

General Quality Attribute Scenario for Reconfigurability in ...

引用

21st international conference on Software Architecture (ICSA)

作者： Jepsen, Sune Chung Worm, Torben Univ Southern Denmark SDU Software Engn Odense Denmark

ISBN: (纸本)9798350366266;9798350366259

Industry 4.0 (I4.0) is about creating an intelligent network of machines to handle increasing readjustment in the production system and increase productivity effectiveness. The requirements for the reconfigurability of production systems can be supported by an appropriate quality attribute scenario (QAS). This paper proposes a QAS for reconfigurability for I4.0 middleware software architectures. The expected benefit is a starting point to discuss and specify reconfigurable architectural requirements for production systems, e.g. between software architects and industry technology providers. Early results suggest that the QAS captures several relevant elements and therefore is a promising starting point to systematically specify reconfigurability QAS for I4.0 middleware software architectures.

关键词： Reconfigurability Quality Attribute Scenario Industry 4.0 Middleware Software Architectures cyber-Physical System Architecture for Specific Types of systems

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Models for Digital Twins of Spatially Distributed Objects 5

Models for Digital Twins of Spatially Distributed Objects

引用

5th international conference on control in Technical systems, CTS 2023

作者： Verkhova, Galina V. Akimov, Sergei V. Department of Intelligent Automation and Control Systems Saint-Petersburg Russia

ISBN: (纸本)9798350304664

The results of research in the field of development of multi-aspect geographical information models for digital twins of spatially distributed objects are presented. It is shown that digital twins of spatial objects, created on the basis of multi-aspect models, allow presenting both system-wide and geographical information aspects of natural and anthropogenic objects from a unified methodological standpoint and can be used as the basis for a single cyber environment of a post-industrial society. © 2023 ieee.

关键词： Information theory

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Fuzzy Impulsive control of Multi-line Re-entrant Manufacturing systems 6

Fuzzy Impulsive Control of Multi-line Re-entrant Manufacturi...

引用

6th international conference on intelligent Autonomous systems, ICoIAS 2023

作者： Zhang, Kexin Wang, Zhenqian Deng, Yue Gao, Qing Lu, Jinhu School of Cyber Science and Technology Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Astronautics Beihang University Beijing100191 China

ISBN: (纸本)9798350371253

This study focuses on the production control problem of the re-entrant manufacturing systems (RMSs) in the presence of product yield loss and couplings of multiple production lines. Initially, to describe and handle the complex dynamics of the RMSs, a nonlinear hyperbolic partial differential equation (PDE) is employed and a Takagi-Sugeno (T-S) fuzzy-model-based impulsive control scheme is proposed. Then, the stability criteria for the RMSs are obtained by leveraging a time-dependent Lyapunov function. Subsequently, we propose a novel robust fuzzy impulsive controller which operates at specific impulsive instants and stages of the plant. Not only can the RMSs respond quickly to market demand when adapting the feeding rate to real-time demand, but also the bandwidth occupation and the communication cost are significantly reduced. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed impulsive control method. © 2023 ieee.

关键词： Lyapunov functions

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Design and Optimization of a Reconfigurable intelligent Surface Using PIN and Varactor Diodes for 5G Communication 8

Design and Optimization of a Reconfigurable Intelligent Surf...

引用

8th ieee international conference on Information and Communication technology, CICT 2024

作者： Chandachoriya, Ankit Panwar, Ravi Kumar, Anil Indian Institute of Information Technology Design and Manufacturing Dept. of Electronics and Communication Engineering Jabalpur India School of Material Science and Technology Indian Institute of Technology Bhu Varanasi India

ISBN: (纸本)9798331531539

This article presents the design and analysis of a reconfigurable intelligent surface (RIS) for efficient electromagnetic (EM) wave manipulation. RIS performance is analyzed based on two distinct biasing configurations based on PIN and varactor diodes. A hybrid split-ring resonator (SRR) geometry forms the foundation of the proposed RIS, enabling dynamic control through integrated diodes. The study investigates the impact of these diodes on the reflection coefficient and phase shift, achieving a reflection coefficient of -2.2 dB and a phase shift of 180° at an operating frequency of 5.2 GHz. Key design parameters are analyzed to optimize performance, providing insights into the structure's frequency-dependent EM behavior and surface current distributions. The proposed RIS architecture is particularly suited for 5G wireless communication systems. © 2024 ieee.

关键词： 5G mobile communication systems

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A Robotic-centric Paradigm for 3D Human Tracking Under Complex Environments Using Multi-modal Adaptation

A Robotic-centric Paradigm for 3D Human Tracking Under Compl...

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2024 international conference on intelligent Robots and systems

作者： Xin, Shuo Zhang, Zhen Liu, Liang Hou, Xiaojun Zhu, Deye Wang, Mengmeng Liu, Yong Zhejiang Univ Inst Cyber Syst & Control Hangzhou Peoples R China

ISBN: (纸本)9798350377712;9798350377705

The goal of this paper is to strike a feasible tracking paradigm that can make 3D human trackers applicable on robot platforms and enable more high-level tasks. Till now, two fundamental problems haven't been adequately addressed. One is the computational cost lightweight enough for robotic deployment, and the other is the easily-influenced accuracy varied greatly in complex real environments. In this paper, a robotic-centric tracking paradigm called MATNet is proposed that directly matches the LiDAR point clouds and RGB videos through end-to-end learning. To improve the low accuracy of human tracking against disturbance, a coarse-to-fine Transformer along with target-ware augmentation is proposed by fusing RGB videos and point clouds through a pyramid encoding and decoding strategy. To better meet the real-time requirement of actual robot deployment, we introduce the parameter-efficient adaptation tuning that greatly shortens the model's training time. Furthermore, we also propose a five-step Anti-shake Refinement strategy and have added human prior values to overcome the strong shaking on the robot platform. Extensive experiments confirm that MATNet significantly outperforms the previous state-of-the-art on both open-source datasets and large-scale robotic datasets.

关键词： Large datasets

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Efficient and Low-Cost Monitoring of Sea Ice Thickness Using Shipborne Vibration Sensors and Machine Learning: A Novel Approach 13

Efficient and Low-Cost Monitoring of Sea Ice Thickness Using...

引用

13th ieee international conference on cyber technology in automation, control, and intelligent systems, cyber 2023

作者： Zhang, Han Quan, Xiyu Yang, Le Li, Yuefang Han, Leng Deng, Dongli Li, Weishi Lv, Xiaoyong Zhao, Yuliang Detachment 60 PLA Unit 92493 Huludao125000 China School of Control Engineering Northeastern University at Qinhuangdao Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China Experimentalist with Northeastern University at Qinhuangdao Qinhuangdao066000 China

ISBN: (纸本)9798350315196

Sea ice is a significant factor in ship navigation, and accurately identifying its thickness is crucial for timely decision-making to ensure ship structural integrity and personnel safety. However, current methods for sea ice thickness measurement, such as shipborne imaging devices and synthetic aperture radar altimeters, have limitations such as high costs, difficulties in data acquisition, and poor timeliness. In this article, we present an approach to detect sea ice thickness using a combination of sensors and machine learning techniques. Vibration signals from ship-ice collisions are collected using acceleration vibration sensors, undergo data preprocessing and time-domain alignment, and the true value of sea ice thickness is obtained through field measurements and a sea ice image information identification system. Time-frequency domain features are extracted, and feature quantity optimization is performed, followed by machine learning regression algorithms to predict sea ice thickness. Experimental results show that excellent regression results can be obtained using a single node for thickness prediction, with an R2 value of 0.908 and an RMSE of 1.374 cm. Our findings demonstrate that analyzing vibration signals generated by ship-ice collisions during vessel navigation can effectively identify sea ice thickness. This approach provides a practical and cost-effective alternative for sea ice thickness measurement and identification in the field. © 2023 ieee.

关键词： Thickness measurement

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RoLM: Radar on LiDAR Map Localization

RoLM: Radar on LiDAR Map Localization

引用

ieee international conference on Robotics and automation (ICRA)

作者： Mai, Yukai Zhao, Xiangrui Li, Han Gu, Yaqing Lang, Xiaolei Liu, Yong Zhejiang Univ Inst Cyber Syst & Control Hangzhou Peoples R China

ISBN: (纸本)9798350323658

Multi-sensor fusion-based localization technology has achieved high accuracy in autonomous systems. How to improve the robustness is the main challenge at present. The most commonly used LiDAR and camera are weather-sensitive, while the FMCW radar has strong adaptability but suffers from noise and ghost effects. In this paper, we propose a heterogeneous localization method of Radar on LiDAR Map (RoLM), which can eliminate the accumulated error of radar odometry in real-time to achieve higher localization accuracy without dependence on loop closures. We embed the two sensor modalities into a density map and calculate the spatial vector similarity with offset to seek the corresponding place index in the candidates and calculate the rotation and translation. We use the ICP to pursue perfect matching on the LiDAR submap based on the coarse alignment. Extensive experiments on Mulran Radar Dataset, Oxford Radar RobotCar Dataset, and our data verify the feasibility and effectiveness of our approach.

关键词： Optical radar

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Enhancing cyber-Physical systems Resilience: Adaptive Self-Healing Security Using Long Short-Term Memory Networks 3

Enhancing Cyber-Physical Systems Resilience: Adaptive Self-H...

引用

international conference on Advances in Computing, Communication and Applied Informatics (ACCAI)

作者： Alijoyo, Franciskus Antonius Kaur, Chamandeep Anjum, Afsana Vuyyuru, Veera Ankalu Bala, B. Kiran STMIK LIKMI Bandung Sch Business & Informat Technol Bandung Indonesia Jazan Univ Dept Comp Sci & Informat Technol Jizan Saudi Arabia Jazan Univ Dept Informat Technol & Secur Jazan Saudi Arabia Koneru Lakshmaiah Educ Fdn Dept CSE Vaddeswaram Andhra Pradesh India K Ramakrishnan Coll Engn Dept AI & DS Trichy India

ISBN: (纸本)9798350389432;9798350389449;9798350389456

cyber-Physical systems (CPS) form the backbone of critical infrastructures, integrating computational and physical processes to enhance efficiency and automation. However, the increasing interconnectivity exposes these systems to diverse cyber threats, necessitating proactive security measures. This research seeks to advance the security of cyber-Physical systems (CPS) through the implementation of a self-healing mechanism driven by neural networks. CPS, pivotal in critical infrastructures, have become increasingly susceptible to a myriad of cyber threats owing to their intricate interconnectivity. The paramount significance of this research is rooted in the creation of a dynamic and intelligent defense system capable of autonomously identifying, responding to, and recuperating from cyber-physical attacks. The traditional CPS security landscape has grappled with static and rule-based approaches, struggling to keep pace with the dynamic nature of contemporary cyber threats. Moreover, the recovery processes in place have been predominantly manual and time-consuming. This research addresses these longstanding issues by introducing LSTM into the CPS security framework. This incorporation represents a paradigm shift, ushering in an era of adaptive resilience. The novelty of the research lies in the seamless integration of neural networks, enabling the system to learn from past incidents and adapt to emerging threats. The proposed self-healing mechanism emphasizes real-time threat detection, allowing for swift responses and the automation of the recovery phase, ultimately reducing downtime associated with security incidents. the integration of self-healing mechanisms using Long Short-Term Memory (LSTM) networks proves to be a promising approach for advancing cybersecurity in cyber-Physical systems (CPS), with the proposed model achieving an impressive accuracy of 99%. The research not only tackles existing vulnerabilities but also pioneers a transformative approach to CPS

关键词： cyber threat Security System Self-Healing Mechanism Neural Network LSTM

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Research on Dynamic intelligent Dispatching Model of Distributed Photovoltaic Energy Storage System Considering Volatility 2

Research on Dynamic Intelligent Dispatching Model of Distrib...

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2nd ieee international conference on Electrical, automation and Computer Engineering, ICEACE 2024

作者： Xu, Hanchen Miao, Qiu Hua, Zhangyi Zhao, Ziheng Yao, Shaoyong Chen, Xin State Grid Wuxi Power Supply Company Wuxi China

ISBN: (纸本)9798350368208

This project aims at the coordinated optimization of photovoltaic and storage, and establishes a dynamic intelligent scheduling model for distributed photovoltaic energy storage systems that considers the impact of fluctuations, with the goal of improving energy utilization and grid stability. This project intends to combine machine learning and optimization algorithms to establish a data-driven dynamic scheduling model for photovoltaic power generation, to achieve real-time prediction of photovoltaic power and charge and discharge control of the energy storage system. The experimental results verify the robustness and efficiency of the model in complex environments, significantly reducing energy loss and improving the overall economic benefits of the system. This dynamic scheduling method not only enhances the stability of distributed photovoltaic energy storage systems, but also reduces dependence on traditional power grids and promotes the large-scale application of renewable energy. The research results of the project will provide new theoretical basis and technical support for the intelligent scheduling of distributed photovoltaic storage systems, and have great practical significance for promoting the efficient development of new energy and the sustainable development of power grids. © 2024 ieee.

关键词： Charge storage

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