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Quantum computing Applications and Impact for Cyber Physical Systems 24

Quantum Computing Applications and Impact for Cyber Physical...

引用

24th international conference on control Systems and Computer science, CSCS 2023

作者： Iftemi, Alin Cernian, Alexandra Moisescu, Mihnea Alexandru University Politehnica of Bucharest Faculty of Automatic Control and Computers Bucuresti Romania

ISBN: (纸本)9798350313390

In the article the authors aim at presenting an overview of the current state of quantum computing, exploring qubits, gates, circuits, error correction, sample algorithms, and potential applications as well as an overview of current and near future applications. The article highlights the rapid growth in quantum computing research and argues that now is the opportune time to pursue practical applications. By delving into the fundamental aspects of quantum computing and examining the challenges and advancements in the field, the article provides a comprehensive understanding of the current landscape and emphasizes the importance of scaling and accelerating the development of quantum technologies to unlock their full potential © 2023 IEEE.

关键词： Cyber Physical System

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An Automation Innovation of Gearbox Vehicle control by Using Machine Learning Based Robotic Operation

An Automation Innovation of Gearbox Vehicle Control by Using...

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2023 international conference on Disruptive Technologies, ICDT 2023

作者： Ramakrishna, M.M. Atyam, Nageswara Rao Chaurasia, Nikhil Sahaya Senthamil, L. Shah, Mohd Asif Raja, V.L. Dr. M.G.R Educational and Research Institute Dept of ECE/ICE Tamil Nadu Chennai India Cmr Institute of Technology Electrical and Electronics Department Karnataka Bengaluru India Sage University Department of Computer Science & Engineering Madhya Pradesh Bhopal India Psna College of Engineering and Technology Electrical and Electronics Engineering Tamil Nadu Dindigul India University School of Business Chandigarh University Punjab Mohali India School of Computing Science Tamil Nadu Pallavaram Chennai India

ISBN: (纸本)9798350323887

There are many vehicle exchanges around the world are using the manual transmission and automatic transmission are the most popular. At this time, many popular manufacturers have started using the robot version in their new products. The gearbox of the robot is, in fact, mechanical;it has an additional automatic clutch and gear shift. Accordingly, the operation of the transmission is not completely dependent on the driver, as in other options, but on the electronic control unit. For the proper functioning of the transmission the driver needs to correctly transmit only the incoming information. In this paper an automation innovation was proposed to control the vehicle gear shifting functions by using the machine learning based on the robotic operation model. An automaton or robot, after some time, must first learn the device of a new invention. The automatic gearbox received a friction type clutch. It is a disk set or a built-in separate mechanism. The most reliable and durable design can be called the double clutch design. © 2023 IEEE.

关键词： Vehicle transmissions

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Enhancing Dynamic Abstract Generation for Code Summarization using CODE-OAN Models and DBWTFF Frames 2

Enhancing Dynamic Abstract Generation for Code Summarization...

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2nd IEEE international conference on Intelligent and Innovative Technologies in computing, electrical and Electronics, ICIITCEE 2024

作者： Bhatt, Chandradeep Sharma, Manish Sharma, Sanjay Gupta, Shefali Singh, Teekam Kumar, Mukesh Computer Science and Engineering Graphic Era Hill University Uttarakhand Dehradun248002 India Computer Science & Engineering Graphic Era Deemed to Be University Uttarakhand Dehradun248002 India Sgrr Univeristy Computer Application Department Dehradun India Chitkara University Institute of Engineering and Tech Chitkara University Punjab India

ISBN: (纸本)9798350306415

This research presents a robustness code abstraction generation method based on an attention mechanism. The method involves extracting high-quality code and its corresponding description language material from the programming community, specifically focusing on the text of query specifications and code responses. Redundant code and its description language material are filtered out, and the query specifications are transformed into declarative sentences for code conversion. Finally, a series model based on the attention mechanism is utilized to generate code summaries. The method effectively eliminates redundancy and noise in the code, leading to improved accuracy rates in automatic judgment, artificial evaluation, and testing. The evaluation results demonstrate superior performance compared to existing baseline methods. © 2024 IEEE.

关键词： accuracy rate attention mechanism code abstraction code summarization declarative sentences description language high-quality code redundancy filtering robustness

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Performance Assessment of SSA-based FOIPDF controller in Microgrid Systems for Load-frequency control 3

Performance Assessment of SSA-based FOIPDF Controller in Mic...

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3rd Odisha international conference on electrical Power engineering, Communication and computing Technology, ODICON 2024

作者： Mishra, Debashish Nayak, Pratap Chandra Prusty, Ramesh Chandra Kumar Sahu, Binod Konark Institute of Science & Technology Department of Electrical Engineering Bhubaneswar India Aryan Institute of Engineering & Technology Department of Electrical Engineering Bhubaneswar India Veer Surendra Sai University of Technology Department of Electrical Engineering Burla India Soa University Bhubaneswar Department of Electrical Engineering India

ISBN: (纸本)9798350354379

In this article there is an introduction to the salp swarm algorithm (SSA) with FOIPDF controller for the refinement of the frequency response of an off-grid microgrid system. The SSA technique is based on the food-capturing behaviour of a marine creature, Slap. The proposed multi-microgrid system works with different conventional energy sources like Solar, Wind, Fuel-cell, Microturbines, etc. The dynamic response of the SSA-based FOIPDF controller indicates its effectiveness over conventional PID & FOPID controllers. The proposed algorithm is also compared with the GA & WOA algorithm. Under the effect of various energy-storage systems (ESSs), including hydrogen aqua equalizer-based fuel cell systems (HAE-FC), flywheel energy systems (FESs), and battery energy systems (BESs), the performance of the suggested technique is investigated under stochastic fluctuations in load, wind, and photovoltaic power. © 2024 IEEE.

关键词： Hydrogen storage

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Modeling and control of an AeroPendulum System Using a Takagi-Sugeno Fuzzy controller 26

Modeling and Control of an AeroPendulum System Using a Takag...

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2024 IEEE international conference on Automation/26th Congress of the Chilean Association of automatic control, ICA-ACCA 2024

作者： Yevenes, Juan Pablo Pena Aiss, Hicham El Youssfi, Naoufal El Barbosa, Karina A. Department of Electrical Engineering Santiago Chile Faculty of Science Semlalia Cadi Ayyad University Royal School of Aeronautics Department of Electrical Engineering Marrakesh Morocco

ISBN: (纸本)9798350378115

This paper addresses the control problem of Aeropendulum systems. The Aeropendulum, known for its nonlinear dynamics, will be approximated as a Takagi-Sugeno (T-S) fuzzy system by introducing a new state variable. A Parallel Distributed Compensation (PDC) controller will be employed to control the derived T-S fuzzy model, which will then be applied to the nonlinear system. Using the Lyapunov function and incorporating slack matrices, a stabilization condition will be established in a set of Linear Matrix Inequalities (LMIs). The performance of the proposed controller will be compared with both a Linear Quadratic Regulator (LQR) and a state feedback control. Finally, simulation results, utilizing Aeropendulum parameters, will demonstrate the effectiveness and validity of the proposed technique. © 2024 IEEE.

关键词： State feedback

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Design and Implementation of Under Water Level Maintaining and automatic controlling System for Industries Using Machine Learning Algorithms

Design and Implementation of Under Water Level Maintaining a...

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2024 international conference on Innovative computing, Intelligent Communication and Smart electrical Systems, ICSES 2024

作者： Parthasarathy, R. Kiruthiga Devi, M. Manikandan, K. Babu, A.P. Selvi, R. Anandaraj, A. Peter Soosai Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Cse Chennai India Dr. Mgr Educational and Research Institute Department of Information Technology Chennai India Sona College of Technology Department of Biomedical Engineering Salem India Dr.MGR Educational and Research Institute of Technology India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Chennai India

ISBN: (纸本)9798331543617

Industrial water consumption has been the target of conscious and reduction policies in order to avoid the waste of natural resources and financial resources. This is the biggest problem for governments. The notified draft rules said that even district magistrates have the power to grant NOC if the water withdrawal was 20-50 cubic meters per day depending on the type of area. This project describes the development of an android application for monitoring and automatic control using a flow sensor to measure water consumption for industries. The proposed system collects data from a flowmeter equipped with a borehole and sends this information via IOT (internet of things) to the server (municipality) and consumers, access records in the cloud at any time through platforms such as Thing Speak, issuing automatic flow readings water. This method enables live monitoring of water consumption and also provides identification of consumption patterns. Idea of using an ML model to gather and transmit real-time data to a licenced central command center regarding the water levels of various water bodies that supply the dams that evaluates the information gathered and chooses the appropriate course of action. The decision of whether to release the water can subsequently be made in accordance with the ML Model's recommendation. Where it reproduced the failure of the real environment. Wasting water is the biggest problem in households in developing countries like India © 2024 IEEE.

关键词： Decision making

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Design of automatic control system of air pressure valve based on closed-loop control 3

Design of automatic control system of air pressure valve bas...

引用

3rd international conference on Electronics, electrical and Information engineering, ICEEIE 2023

作者： Xie, Tangjia Li, Binbin Chen, Zhigao Yang, Fu Xu, Junjie School of Electrical Shanghai Dianji University Shanghai China Kaiserslautern Kolleg fur Intelligente Produktion Shanghai Dianji University Shanghai China

ISBN: (纸本)9781510671423

In order to realize the automatic control of electronic air pressure valve, this paper establishes an automatic control system based on STM32f103c8t6 core *** at the problems of low precision, easy "step loss" and "stall" of open-loop motor control, this paper designs a closed-loop control algorithm based on magnetic encoder, which greatly improves the control accuracy and system stability, and effectively avoids the problem of motor stall. The system also automatically adjusts the opening and closing of the air pressure valve according to the pressure value measured by the barometric pressure sensor. The experimental results show that the control system can realize the functions of automatic adjustment of multipipeline pressure and closed-loop self-test. © 2023 SPIE.

关键词： Atmospheric pressure

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Exploring the Potential of Machine Learning in Automated Real-Time Data Analysis Systems 15

Exploring the Potential of Machine Learning in Automated Rea...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Chandrakala, P. Meshram, Vishal A. Meena, Mansingh Nithya, M.S. Alam, Intekhab Kumar, V. Mathan Prince Shri Venkateshwara Padmavathy Engineering College Department of Electrical and Electronics Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Vivekananda Global University Department of Electrical Engineering Jaipur India Department of Computer Science and Information Technology Karnataka Bangalore India Maharishi University of Information Technology Maharishi School of Engineering and Technology Uttar Pradesh India Karpagam Academy of Higher Education Department of Computer Science Coimbatore641021 India

ISBN: (纸本)9798350370249

This paper explores the current country of gadget learning and its capability to allow real-time records analysis. Automated actual-time statistics analysis structures enable business specialists to reply to situations by extracting complicated patterns faithfully. Gadget learning techniques can assist these units by allowing algorithms to analyze previously amassed information and generalize these consequences to novel scenarios. This paper examines the latest developments in device learning algorithms that will likely be leveraged in automatic actual-time facts evaluation structures. The report also considers challenges associated with data education and the mission's generation selection. ultimately, the paper discusses numerous processes for integrating gadget getting to know into real-time records analytics systems that could permit agencies to take complete advantage of the significant ability of machine mastering. © 2024 IEEE.

关键词： Adversarial machine learning

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MPC-based Optimization Design for 3D Collision Avoidance of a Mobile Manipulator Based-on Obstacle Velocity Estimation

MPC-based Optimization Design for 3D Collision Avoidance of ...

引用

2024 international automatic control conference, CACS 2024

作者： Song, Kai-Tai Lin, Chih-Hsuan Institute of Electrical and Control Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University 1001 Ta Hsueh Road Hsinchu Taiwan

ISBN: (纸本)9798350354904

This paper presents an optimization design of 3D dynamic obstacle avoidance for a mobile manipulator based on model predictive control (MPC). The design enables a mobile manipulator to achieve optimized 3D collision avoidance motion with shorter avoidance path and faster avoidance time. A 3D LiDAR is installed onboard the robot to acquire environmental point cloud and estimate obstacle velocity. The MPC is designed to track an initial 3D path of the mobile manipulator and avoid any static and dynamic obstacles in real time. Experimental results show that the proposed method can simultaneously avoid static and dynamic obstacles in 3D space. Compared with baseline algorithms without velocity estimation, the proposed method reduces the avoidance path length by 8.27% and path execution time by 13.79%. © 2024 IEEE.

关键词： Predictive control systems

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Developing a Smart Drip Infusion System to Elevate Precision in Healthcare 4

Developing a Smart Drip Infusion System to Elevate Precision...

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4th international conference on Ubiquitous computing and Intelligent Information Systems, ICUIS 2024

作者： Molefinyane, Sefemo Yahya, Abid Hamsadhwani, V. Rohini, R. Samikannu, Ravi Begam, K.Maruliya Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India Saveetha School of Engineering Saveetha Institute of Medical and Technology Science Department of Computer Science and Communications Engineering Tiruchengode India

ISBN: (纸本)9798331529635

Intravenous (IV) therapy is a critical component of modern healthcare, yet traditional IV systems are prone to human errors, manual adjustments, and limited monitoring capabilities, which can jeopardize patient safety and hinder healthcare efficiency. This paper presents the development of the Smartdrip IV Infusion System, a sophisticated and automated solution that integrates advanced sensors, control algorithms, and intuitive user interfaces to address these limitations. The Smartdrip system minimizes human intervention, provides real-time monitoring, and automates fluid administration with enhanced precision and safety features. The system demonstrates high reliability through simulation and prototype testing in detecting anomalies, issuing alerts, and ensuring accurate infusion rates, thereby improving patient outcomes and reducing healthcare provider workload. The results validate the Smartdrip system as a transformative approach to optimizing IV therapy in diverse clinical settings. © 2024 IEEE.

关键词： Automated Infusion System Drip Rate Monitoring Healthcare Automation Intravenous Therapy Patient

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