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检索条件"任意字段=IEEE International Conference on Cyber Technology in Automation,Control,and Intelligent Systems"

共 35125 条记录，以下是371-380 订阅

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Multi-Fov-Constrained Trajectory Planning for Multirotor Safe Landing

Multi-Fov-Constrained Trajectory Planning for Multirotor Saf...

引用

2024 international conference on intelligent Robots and systems

作者： Wang, Dong Wang, Jingping He, Suqin Huang, Jinxin Zhang, Bangyan Mao, Yinian Huang, Guoquan Xu, Chao Gao, Fei Zhejiang Univ Coll Control Sci & Engn Inst Cyber Syst & Control Huzhou 313000 Hangzhou 310027 Peoples R China Meituan UAV Beijing Peoples R China

ISBN: (纸本)9798350377712;9798350377705

In recent years, multirotors have become more and more widely used, such as in aerial photography and delivery. Ensuring a safe landing in emergencies is the most basic requirement, and it is important to make full use of all the sensors of the multirotor. To improve the safety of UAV landing in unknown unstructured scenes, this paper proposes a multi-FOV-constrained trajectory planning algorithm. Due to the discontinuity of multi-FOV constraints and the nonlinearity of UAV dynamics, the entire trajectory planning problem is a nonlinear optimization problem with non-convex constraints. To address this problem, our algorithm contains two stages, a multi-fov-constrained path search algorithm and a safe landing trajectory optimization algorithm. The multi-fov-constrained path search algorithm is used to generate a safe initial path that satisfies the FOV constraint. Then, the safe landing trajectory optimization algorithm generates a safe trajectory, which considers FOV constraints, dynamics, smoothness, and obstacle avoidance. We conducted simulation experiments and real-world experiments to verify the robustness and effectiveness of our algorithm.

关键词： Trajectories

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Implementing Arduino and NFC technology Integration for Inventory Tracking System

Implementing Arduino and NFC Technology Integration for Inve...

引用

ieee international conference on Automatic control and intelligent systems (I2CACIS)

作者： Bin Zaidi, Syazwan Azri Ismail, Syila Izawana Binti Dzulkefli, Nik Nur Shaadah Binti Nik Kar, Siti Aishah Binti Che Shafie, Rosmawati Binti Univ Teknol MARA Coll Engn Sch Elect Engn Terengganu Malaysia

ISBN: (纸本)9798350372113;9798350372106

The current organizational methods employed in storage facilities and stores are predominantly manual, lacking proper systematic management, particularly in convenience stores where inventory management is often disorganized. The absence of categorization and a systematic approach complicates inventory tracking, leading to unreliability and significant manual labor each time an item needs to be checked or restocked. This challenge is also observed in courier service storage facilities, delivery trucks, and hubs, resulting in a high incidence of missing parcels due to inadequate management. To address these inefficiencies, this research aims to develop an inventory management system that reduces manual labor by implementing Arduino microcontroller technology, NFC stickers/tags, and NFC modules. Additionally, the system leverages PLX-DAQ add-ins to seamlessly export data from the microcontroller into Microsoft Excel, facilitating real-time inventory updates and management. By achieving these objectives, it can save time and labor power, significantly improving the reliability and efficiency of inventory management in both convenience stores and courier service facilities.

关键词： Inventory tracking NFC technology Arduino PLX-DAQ Streamlined operation

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Soft-Sensing System Design Based on LabVIEW 2

Soft-Sensing System Design Based on LabVIEW

引用

2nd international conference on cyber-Energy systems and intelligent Energy, ICCSIE 2024

作者： Cai, Guoliang Mu, Xiaonan Wang, Guicheng Wang, Changyu Guan, Changliang Yu, Wenju Technology Co. Ltd. Xiamen China State grid Liaoning integrated energy service co. Ltd. Shenyang China School of Electrical and Electronics Engineering Shanghai Institute of Technology Shanghai China

ISBN: (纸本)9798350373318

Expounding the implementation process of an online estimation system for glutamic acid bacterial concentration designed using LabVIEW with graphical programming language and BP neural network soft-sensing. By selecting parameters such as ventilation, sugar supplementation, pH, and temperature during the glutamic acid fermentation process as auxiliary variables for soft sensor modeling, the important biological parameter affecting the fermentation process and product quality, bacterial concentration, is determined as the target variable for softsensing modeling. The BP neural network in the machine learning toolkit provided by LabVIEW is called, and it is modeled by the BP neural network is trained and tested using sample data. Through simulation results analysis, it has been proven that soft-sensing system of LabVIEW can achieve online estimation of bacterial concentration in the glutamic acid fermentation process. © 2024 ieee.

关键词： Machine learning

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Investigating the Impact of Update Frequency on PID controller Performance in Autonomous Robotics 3

Investigating the Impact of Update Frequency on PID Controll...

引用

3rd international conference on Communication, control, and intelligent systems, CCIS 2024

作者： Rajeev, Renju National Institute of Technology Calicut Electrical and Electronics Engineering Calicut India

ISBN: (数字)9798331528201

ISBN: (纸本)9798331528201

This paper examines the relationship between the performance of Proportional-Integral-Derivative (PID) controllers and their update frequency, using the Pololu 3pi+ 32U4 robot as a testbed. Through a series of experiments conducted across a frequency range of 2 to 500 Hz,a non-linear correlation is identified where both high and low update frequencies negatively impact control performance. The findings indicate that an optimal frequency range of 40 to 120 Hz significantly enhances the PID controller's ability to achieve target tracking with minimal overshoot and reduced setting time. This study highlights the importance of update frequency as a critical, yet often overlooked, parameter in the design and implementation of PID control systems [1] [9], providing insights for future research and practical applications in robotics and automation. © 2024 ieee.

关键词： Three term control systems

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Research on Artificial Intelligence-Based Computer Vision and Speech Recognition in intelligent automation systems 2

Research on Artificial Intelligence-Based Computer Vision an...

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2nd ieee international conference on Image Processing and Computer Applications, ICIPCA 2024

作者： Zhang, Jianqin Nanjing Engineering Branch Jiangsu Union Technical Institute Nanjing China

ISBN: (纸本)9798350360240

This paper focuses on the use of SIFT algorithm for visual feature extraction, and innovatively deeply integrates visual information with voice commands to enable accurate control of intelligent automation systems. Firstly, the robustness and efficiency of SIFT algorithm in complex environment is deeply discussed, and it is applied to target object recognition, scene understanding and other visual tasks to effectively extract key visual features. Further, the audio-visual fusion model is researched and constructed, and the visual features extracted by SIFT algorithm are cleverly integrated with the voice commands processed by advanced speech recognition technology. The synchronous analysis and collaborative decision-making of dual-mode information are realized through artificial intelligence means such as deep learning. The purpose of this model is to improve the comprehensive understanding and response ability of the automated system to multiple and heterogeneous input data, so as to ensure that it can accurately identify user intentions and perform accurate operations in complex environments. Experimental results show that this strategy can significantly improve the environment adaptability, interaction naturalness and task completion accuracy of the intelligent automation system. © 2024 ieee.

关键词： intelligent systems

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cyber Bullying Detection Using Deep Learning and Natural Language Processing 5

Cyber Bullying Detection Using Deep Learning and Natural Lan...

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5th international conference on IoT Based control Networks and intelligent systems, ICICNIS 2024

作者： Gowthami, S. Rajesh, Sudha Shagul, A.S. Papinaidu, M. Kumar, K Ashok Venkataramanaiah, B. Vignan's Institute of Information Technology Department of EEE Visakhapatnam India SRM Institute of Science and Technology Department of Computational Intelligence Kattankulathur India Saveetha Engineering College Department of Mechanical Engineering Chennai India Aditya Institute of Technology and Management Department of English Tekkalii India Bhoj Reddy Engineering College for Women Department of ECE Hyderabad India Vel Tech Rangarajan Dr.sagunthala R&D Institute of Science and Technology Department of ECE Chennai India

ISBN: (纸本)9798331518097

Social media platforms have become one of the primary communication channels worldwide. Unfortunately, these platforms are also exploited for harmful activities, with cyber bullying being a significant concern, particularly among younger users. This research presents a novel model aimed at detecting instances of cyber bullying using deep learning techniques and Natural language processing (NLP). The research employs three datasets from Twitter, Instagram, and Facebook to predict cyber bullying behaviors through the Long Short-Term Memory (LSTM) algorithm. The findings demonstrate that the proposed model effectively identifies bullying instances, offering improvements over previous detection approaches. The model achieved accuracies of 96.64%, 94.49%, and 91.26% for the Twitter, Instagram, and Facebook datasets, respectively, highlighting its robustness across different social media platforms. © 2024 ieee.

关键词： Tweets

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Research and Application of Standardization for Ship Energy Efficiency intelligent Management systems 12

Research and Application of Standardization for Ship Energy ...

引用

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

作者： Heng, Li Wei, Liu Shuhuan, Feng China Institute of Marine Technology and Economy Beijing China

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

Combined with the application scenarios of ship energy efficiency intelligent management, this paper decomposes the functions of mainstream ship energy efficiency management systems in the market, and puts forward the functional design and implementation scheme of the overall system architecture, ship energy efficiency monitoring, ship energy efficiency calculation and evaluation, speed optimization, trim optimization and so on. On this basis, the current situation and problems of standards related to ship energy efficiency management are sorted out and analyzed, and the development needs of standards in key areas are put forward from the perspectives of system R&D, testing and verification, etc. It is a strong reference for guiding the research and formulation of supporting standards, guiding the modular and standardized development of smart systems, and regulating the application of related products on board ships. © 2022 ieee.

关键词： Ships

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Graph-Theoretic Distributed Approach for cyber Contingency Impact Assessment in Smart Grids

Graph-Theoretic Distributed Approach for Cyber Contingency I...

引用

2024 ieee international conference on Modeling, Simulation and intelligent Computing, MoSICom 2024

作者： Hareesh Kumar Reddy, M. Vignesh, V. Indian Institute of Technology Tirupati Electrical Engineering Tirupati India

ISBN: (纸本)9798331533311

The rapid integration of digital technologies into power grids has transformed traditional grids into smart grids, increasing interdependence between cyber and physical components. This interconnection introduces vulnerabilities, where cyber disturbances can significantly impact the operation and stability of the power system. Consequently, evaluating, ranking, and prioritizing cyber contingencies is crucial for maintaining grid reliability and resilience. A novel approach for quantifying cyber contingencies is presented, utilizing the distributed cyber-Dependent Optimal Power Flow (CDOPF) problem. A graph-theoretic framework models the cyberphysical smart grid, eliminating the need for complex and computationally expensive cyber-physical co-simulations. Nonconvex constraints are convexified using a DC power flow relaxation, enabling more efficient solutions. The distributed algorithms are incorporated using RIAPS (Resilient Information Architecture Platform for Smart Grid), an opensource platform designed to enhance the dependability, resilience, and performance of distributed systems within the smart grid. RIAPS provides a robust framework for decentralized control, fault tolerance, and real-time monitoring, which is crucial for ensuring the resilience of cyber-physical systems in dynamic, distributed environments. The platform supports scalable and efficient integration of distributed algorithms across the grid's infrastructure, enabling fast decision-making and enhanced grid security. The method is tested on the ieee 39-bus system with varying partition sizes, demonstrating that the distributed approach outperforms centralized methods in scalability and accuracy. It effectively ranks cyber contingencies and measures their impact on overall grid stability, improving grid security and decision-making capabilities. © 2024 ieee.

关键词： Quadratic programming

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Smart Grid Solutions: IoT-Integrated Hedge systems for Reliable Solar Power Generation 2

Smart Grid Solutions: IoT-Integrated Hedge Systems for Relia...

引用

2nd international conference on intelligent cyber Physical systems and Internet of Things (ICoICI)

作者： Shankar, S. Ravi Ilango, V Dineshkumar, G. Saravanan, S. Muthayammal Engn Coll Dept Elect & Elect Engn Namakkal Tamil Nadu India CMR Inst Technol Dept Comp Applicat Bengaluru Karnataka India

ISBN: (纸本)9798331540661;9798331540678

Solar power is prominent among the renewable energy sources that the world is moving towards. On the other hand, grid stability and reliability are threatened by solar energy's intermittent nature. To solve this problem, we present a new method in this research that uses smart grids that combine IoT with hedge systems. The suggested system uses Internet of Things (IoT) sensors and actuators to dynamically modify hedge systems in response to changes in solar power generation. The technology maximizes the efficiency of hedge systems by utilizing machine learning algorithms and predictive analytics to reduce the impact of unpredictability on solar power output. As a result, grid stability is improved, and solar power generation reliability is increased.

关键词： Renewable energy Smart grid Internet of things Solar power generation Hedging systems Grid stability Predictive Analytics Machine learning

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Enabling Smart Manufacturing Using cyber-Physical System with the Outlook of Manufactronic 14

Enabling Smart Manufacturing Using Cyber-Physical System wit...

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14th international conference on Mechanical and intelligent Manufacturing Technologies, ICMIMT 2023

作者： Oyesola, Moses Oluwafemi Mpofu, Khumbulani Kanakana-Katumba, Grace Daniyan, Ilesanmi Tshwane University of Technology Department of Industrial Engineering Pretoria South Africa

ISBN: (纸本)9798350313093

The rising production complexity requires manufacturing industries to reach significance heights of intelligence and efficiency. In order to attain these expectations, cyber-physical system (CPS) in the context of Industry 4.0 is perceived as a transformation roadmap to reaching the intelligent manufacturing goal. The rise in automation systems stirs interesting digital revolutions of network of manufacturing and automation systems namely manufactronic. However, the current manufacturing execution systems (MES) heavily lacks in the adoption of this manufactronic being an emerging smart innovation. The aim of this paper is to project an oulook into the wave of smart manufacturing via cyber-physical system through the window of manufactronic in the web of manufacturing execution system. The study based on outlook proffer a frame architectural model that embodies the integration of the aforementioned manufactory proposition into structure. The essence is to spark manufacturability in the direction of bespoke solution of integrated network of internet into mechanical, electronic devices to realize smart automated manufacturing efficient enterprise's functions and services © 2023 ieee.

关键词： cyber Physical System

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