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检索条件"任意字段=International Conference on Computing Communication Control and Automation"

共 63738 条记录，以下是121-130 订阅

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Computationally Efficient Optimal control Problem Formulation Illustrated by Automotive Applications 11

Computationally Efficient Optimal Control Problem Formulatio...

引用

11th Vienna international conference on Mathematical Modelling, MATHMOD 2025

作者： Wegscheider, F. Galkina, A. Maier, J. Schlacher, K. Reichhartinger, M. Institute of Automation and Control Graz University of Technology Institute of Automation and Control Graz8010 Austria Magna Powertrain GmbH & Co KG Industriestraße 35 Lannach8502 Austria Engineering Center Steyr GmbH & Co KG Steyrer Straße 32 St. Valentin4300 Austria Lehrstuhl für Systemtheorie und Regelungstechnik Universität des Saarlandes Professur für Modellierung und Simulation Technischer Systeme Campus A5 1 Saarbrücken66123 Germany Institute of Automatic Control and Control Systems Technology Johannes Kepler Universität Linz Altenberger Straße 69 Linz4040 Austria

The paper focuses on reducing computational time when solving optimal control problems by expressing them within a flat coordinate system. To demonstrate and discuss this approach, two case studies are presented: Time-optimal velocity trajectory planning and torque control of permanent magnet synchronous motors. The reformulated optimal control problems show significant reductions in computational time without affecting the resulting trajectories. Additionally, analyses were performed to investigate the impact of prediction horizons and solver starting values on the observed computational advantages. The results clearly show the potential of the presented method for developing computationally efficient optimization-based control strategies. Copyright © 2025 The Authors.

关键词： Optimal control systems

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Optimized Hybrid Cryptographic Technique Using Symmetric and Asymmetric Encryption for Cloud computing 5

Optimized Hybrid Cryptographic Technique Using Symmetric and...

引用

5th IEEE international conference on Advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Suresh, R. Dayana, T.R. Nisha Vel's Institute of Science Technology and Advanced Studies Department of Computer Science Tamil Nadu Chennai India

ISBN: (纸本)9798350356236

Cloud computing (CC) is an expanding computing concept in which computing resources are given as Internetbased services. Security and confidentiality of cloud storage services are critical and pose a difficulty in cloud computing owing to loss of control over data and reliance on the cloud computing provider. While there is a big number of transmitting data in the cloud system, the risk of data access by attackers raises. CC requires encryption to maintain the privacy and security of data stored, processed, and transported on the cloud. Encryption ensures that confidential information saved in the cloud stays private and accessible only to authorized parties. The field of cryptography is continuously evolving to deal with current challenges in cybersecurity, confidentiality, and computing power. Optimizing encryption algorithms entails enhancing security, performance, and efficiency while reducing resource usage. This study suggests a optimized framework for encryption using RSA, an asymmetric key cryptography for key exchange and Advanced / Encryption Standard (AES), a symmetric key cryptography for bulk message encryption to improve the efficiency of encryption. The suggested models's performance evaluated with RSA with Data Encrytpion Standard(DES) and RSA with BlowFish algorithms and the efficiency of RSA with AES is found to more in terms of Execution time, Throughput, memory usage and latency. © 2025 IEEE.

关键词： Sensitive data

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Enhancing Distribution System Efficiency Through Vector Space control of Power Inverters for Improved Power Factor 5

Enhancing Distribution System Efficiency Through Vector Spac...

引用

5th IEEE international conference on Advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Mullo, Adrián Jaramillo, Manuel Carrion, Diego Universidad Politécnica Salesiana Electrical Engineering Department Quito Ecuador

ISBN: (纸本)9798350356236

Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power *** factor (PF) is a vital indicator of efficiency and is essential for optimizing electrical loads. This paper proposes utilizing space vector pulse width modulation (SVPWM) control strategies in power inverters to enhance the PF. The research implements distributed generation (DG) and dynamic reactive power compensation control to improve system conditions further. The study presents theoretical foundations, experimental results, and comparative analyses focused on PF enhancement. Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power factor. © 2025 IEEE.

关键词： Vector spaces

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819616930

The proceedings contain 27 papers. The special focus in this conference is on Machine Learning, Cloud computing and Intelligent Mining. The topics include: Decentralized Optimal Tracking control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative Learning control for Nonlinear Switched Continuous-Time Systems with Time-Varying Delay;Model Migration and Joint communication and computing Resource Allocation in Native AI Wireless Networks;FTB-RRP control for 2-D Continuous-Discrete Systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf Optimization Algorithm;A Bat-BP Optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection control;state Estimation and control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation control in Multi-agent Systems with Disturbance Rejection Using RISE controller;model Predictive control for Contour control in Biaxial System.

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Research on maximizing throughput of high-speed railway system by allocating train-to-train communication resources 24

Research on maximizing throughput of high-speed railway syst...

引用

8th international conference on Electronic Information Technology and Computer Engineering, EITCE 2024

作者： Lv, Qianhui Gao, Yunbo Xie, Jianli Cheng, Xuan Ban, Yuhao School of Automation and Electrical Engineering Lanzhou Jiaotong University Gansu Lanzhou China School of Electronics and information engineering Lanzhou Jiaotong University Gansu Lanzhou China Lanzhou Railway Design Institute Co. LTD Gansu Lanzhou China

ISBN: (纸本)9798400710094

The realization of train-to-train (T2T) communication in 5G-R systems can effectively reduce the communication delay of trains and improve the safety and efficiency of train operation, but in this communication process, due to the coexistence of T2T communication and train-to-ground (T2G) communication, the problem of co-frequency interference will inevitably exist. To address this problem, this paper firstly proposes the Weighted Bifurcation Graph-based Resource Allocation (WBGRA) algorithm to reasonably allocate channel resources, which divides the channel resource allocation process into two parts, i.e., allocating channel resources for T2G users and reusing T2G users’ resources by T2T users, and the reuse process takes into account whether the reuse conditions are satisfied;and then the game theory is used to control the power. Simulation of the proposed algorithm shows that it gives the optimal solution of the optimization objective. © 2024 Copyright held by the owner/author(s).

关键词： Railroads

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819624676

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

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3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819616978

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Enhancing IoT-Driven Smart Home Security and automation with a GCN Model 3

Enhancing IoT-Driven Smart Home Security and Automation with...

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3rd international conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Ganti, Sreelakshmi Vankayalapati, Ravi Kumar Krishnamoorthy, P. Thakare, Pallavi S. Nayak, Ullal Akshatha Vignesh, P. Geethanjali College of Engineering and Technology Department of Electronics and Communication Engineering Medchal India Equinix TX United States Sasi Institute of Technology & Engineering Department of Computer Science and Engineering West Godavari India Dr D. Y. Patil Institute of Technology Department of Information Technology Pimpri India Nitte Meenakshi Institute of Technology Department of Information Science and Engineering Bangalore India Kcg College of Technology Department of Mathematics Chennai India

ISBN: (纸本)9798331508456

A network of computing devices and sensors, the Internet of Things (IoT) rapidly exchanges data to assess circumstances and propose new services. Intelligent home technologies rely on IoT. Contemporary smart home systems offer automatic lighting control, smoke detectors, temperature sensors, and smart lock installations. But these technologies raise serious privacy and security concerns. Security flaws let hackers access sensitive data, sendoff false alarms, and take control monitoring systems. Smart home technology is vulnerable to many threats because consumers are wary of it. Recommended steps are preprocessing, sensing, and model training. Preparing raw, unstructured data for analysis. DHT11 humidity and temperature sensors and HC-SR501 PIR motion detectors collect data. It trained the model using Multiscale DGCN data. Better than GCN and BiLSTM, Multiscale DGCN performs. It uses Internet of Things-based smart home security data well, with an average accuracy rate of 93.87%. Identifying outliers in sensor data solves major smart home security challenges. Increasing smart home system accuracy reduces security concerns and boosts user trust, which may drive adoption. © 2025 IEEE.

关键词： Smart homes

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Developing a Blockchain-Based AI-IoT Platform for Industrial automation and control Systems 1

Developing a Blockchain-Based AI-IoT Platform for Industrial...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Dalal, Aryendra Sareddy, Mohan Reddy Santharam, Vinoth Thoguluva Bhattacharjee, Partha Pratim Barboza-Sanchez, Luis Jesus Sahoo, Deepali Rani Middle Georgia State University GA United States Orasys LLC TX United States Software Development Engineer 5 Comcast Chennai India National Institute of Technology Mizoram India Jr. Centenario 156 Lima La Molina15026 Peru Symbiosis Law School Noida India Pune India

ISBN: (纸本)9798331518578

Blockchain, artificial intelligence (AI), and the internet of things (IoT) come together to offer a transformative opportunity to increase automation, effectiveness, and security across a variety of industries. Blockchain ensures decentralised trust, data integrity, and safe transactions, while AI enables analytics in real time, predictive insights, and intelligent decision-making. IoT enables smooth communication among the digital and physical worlds by connecting and gathering enormous volumes of data from smart devices. By combining these innovations, a synergistic ecosystem is produced in which AI safely analyses data provided by the Internet of Things and stores it on blockchain networks, guaranteeing transparency and immutability. Smart cities, healthcare, supply chain management, and autonomous systems are just a few of the many fields where this incorporation can be used to promote innovation and operational resilience. To fully utilise this trinity, however, issues like flexibility, compatibility, and privacy concerns need to be resolved. This study examines the advantages, drawbacks, and potential avenues for further research of the synergy amongst blockchain, AI, and the IoT. © 2025 IEEE.

关键词： Blockchain

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Enhancing Smart Grid Security with Quantum Cryptography: A BB84-based Framework 3

Enhancing Smart Grid Security with Quantum Cryptography: A B...

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3rd international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2025

作者： Garg, Shail Gayatri, Yerukola Surya Kausthub, A. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryptographic keys that cannot be broken with the help of quantum and traditional hacking techniques. It depends on symmetric encryption mechanisms like AES to provide high data confidentiality during transmission. Regarding the key management, the system provides a key management server that distributes keys to the grid nodes and performs key updating to ensure control with the managing authority. It also presents reliability under practical conditions through performance analogs such as Quantum Bit Error Rates (QBER), and system latency. This approach shows that quantum cryptography can provide a highly secure and efficient communication network for the next-generation smart grid. © 2025 IEEE.

关键词： Smart power grids

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