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

共 63729 条记录，以下是141-150 订阅

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A Study on Ring Amplifier for Medical Imaging Applications Using Anti-Series Diode

A Study on Ring Amplifier for Medical Imaging Applications U...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Gracia D Harini R Surendar T Srithar P Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This Paper examines the design and analysis of an anti-series diodes (ASD) ring amplifier to enhance performance parameters such as gain. The research contrasts the conventional amplifier structures with the ASD-improved ones, emphasizing their benefits in system sensitivity preservation and signal-to-noise ratio (SNR) improvement in medical imaging systems. Simulation results illustrate that the addition of ASDs results in better transient response control, less distortion, and greater noise immunity, which are vital for high-performance medical imaging systems. The research emphasizes the importance of novel circuit designs in achieving low power, high-performance amplifiers for future applications.

关键词： Performance evaluation Transient response Sensitivity Simulation Reliability engineering Stability analysis Telecommunication computing Transient analysis Biomedical imaging Signal to noise ratio

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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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Electric Vehicle control Protocol for on Board System 1

Electric Vehicle Control Protocol for on Board System

引用

1st international conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Maidurkar, Hitesh M. Salodkar, Prachi Badar, Altaf.Q.H. Ramdeobaba University Nagpur Nagpur India Ramdeobaba University Nagpur Faculty of Electrical Engineering Nagpur India National Institude of Technology Faculty of Electrical Engineering Warangal India

ISBN: (纸本)9798331520540

The control Area Network (CAN) protocol is a powerful data bus standard designed to facilitate communication between multiple microcontrollers in a vehicle. industrial automation systems without requiring a host computer. Developed by Bosch in 1983, CAN has become a standard in the automotive industry due to its reliability and efficiency in handling real-time data transmission. CAN operates on a multi-master, message-oriented architecture. It utilizes differential signaling to provide high noise immunity and error detection capabilities, ensuring reliable data communication even in harsh environments. The protocol supports various frame formats, including standard (11-bit identifier) and extended (29-bit identifier) frames, allowing for a wide range of applications. One of the key features of CAN is its arbitration process, which prioritizes messages based on their identifiers. This enables high-priority messages to access the bus first, ensuring timely and critical data transmission. Additionally, CAN FD (Flexible Data Rate) and CAN XL (extended data Length) have been introduced to enhance data throughput and accommodate larger payloads, addressing the growing data demands in modern vehicles. CAN is widely used in electric vehicles (EVs) to enable seamless communication between different electronic control units (ECUs), such as battery management systems, motor controllers, and safety systems. Its efficiency, reliability, and flexibility make it an integral part of the electronic communication architecture in EVs and various other applications, in this paper we are also used the varies type of protocol which is used in Electrical vehicle communication. © 2025 IEEE.

关键词： Automotive industry

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A Comprehensive Review of Smart Emergency Vehicle Detection and Response Systems

A Comprehensive Review of Smart Emergency Vehicle Detection ...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Dileep V K Athira P S Parvathy Jayakumar Praveena S Department of Computer Science and Engineering LBS Institute of Technology for Women Thiruvananthapuram India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The increasing urbanization and rapid growth in vehicle numbers have caused significant challenges in traffic management, especially in the mobility of emergency vehicles. Smart Emergency Vehicle Detection and Response Systems have emerged as a promising solution to reduce response times and enhance road safety. This review explores existing methodologies, technologies, and frameworks in intelligent transport systems, focusing on emergency vehicle prioritization and congestion management. By analyzing recent advances, trends, and challenges, we identify the gaps that our proposed system addresses, such as real-time emergency vehicle detection, congestion-aware traffic signal control, and privacy-preserving communication protocols.

关键词： Reviews Vehicle detection Scalability Urban areas Machine learning Market research Real-time systems Road safety Telecommunication computing Time factors

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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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Generating Accessibility: Using AI to Improve Higher Education for the Visually Impaired 17

Generating Accessibility: Using AI to Improve Higher Educati...

引用

17th international conference on Computer Supported Education, CSEDU 2025

作者： Schauer, Sophie Simbeck, Katharina Schüßler, Leon School of Computing Communication and Business HTW University of Applied Sciences Berlin Wilhelminenhofstraße Berlin Germany

ISBN: (纸本)9789897587467

Visually impaired students face many obstacles in higher education, including access to adapted course material. While accessibility is a legal requirement in many countries, its implementation is linked to practical challenges for educators. In this paper, we discuss the adaptation of existing course materials for blind students in a case study and propose using generative Artificial Intelligence to facilitate the creation of accessible educational materials, contributing to a more inclusive learning environment. We introduce and evaluate the tool TRAIL to generate accessible textual descriptions of lecture slides. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Students

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IoT-Driven Smart Home automation: A Comprehensive Approach with ESP32 and Cloud Service

IoT-Driven Smart Home Automation: A Comprehensive Approach w...

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Mobile computing and Sustainable Informatics (ICMCSI), international conference on

作者： Shravya Shetty Krishnaraj Rao N S Priya Darshini T Neha TM Sonia Maria D souza Prajna M Dept. of AIML New Horizon College of Engineering Bengaluru India Dept. of ISE NMAM Nitte Karkala India Dept. of CSE St Joseph Engineering College Mangaluru India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522674

The Internet of Things' quick development and widespread availability have made home automation a topic of interest. The study introduces an innovative smart home automation system utilizing IoT technology, featuring an ESP32 module as the central server and Wi-Fi for communication. By integrating sensors, switches, and a smartphone-based control interface through the Android IoT Cloud platform, the system allows both manual and remote management of home appliances. Key benefits include real-time environmental monitoring, twoway control, and enhanced safety. automation elements, such as a stepper motor for precise control of blinds, are also incorporated. The research demonstrates IoT's potential for enhancing home automation and sets the stage for future advancements in the field.

关键词： Temperature sensors Cloud computing Home appliances automation Smart homes User interfaces Sensor systems Real-time systems Intelligent sensors Wireless fidelity

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Smart irrigation for soil moisture prediction using hybrid AI and fog computing 14

Smart irrigation for soil moisture prediction using hybrid A...

引用

14th IEEE international conference on communication Systems and Network Technologies, CSNT 2025

作者： Bindal, Ruchika Kaur, Mandeep Tandon, Righa Department of Computer Science and Engineering Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798331531935

Irrigation control is essential for optimizing water usage in smart agricultural systems, especially where there is water scarcity. The fast development of IoT and fog computing brings up new opportunities for developing new and advanced systems that are both efficient and flexible. Further integration of fog computing with machine learning will bring more developments to smart agriculture systems. This paper has framed an irrigation supervision algorithm to predict irrigation needs in the smart agriculture system. The methodology uses a hybrid algorithm that incorporates Gradient Boosting (GB), Logistic Regression (LR) and Random Forest (RF). The system accurately forecasts the irrigation requirement by processing ecological information such as humidity, temperature, and time-based factors. 97.78% of accuracy illustrates the reliability of the resultant model, and initial processing of the data illustrates that information is concise and accurate. Recall, precision and F1- score are computed as metrics for the performance. The system is integrated into fog computing and machine learning to manage real-time data processing to achieve faster and more accurate predictions. © 2025 IEEE.

关键词： Random forests

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Data-Driven automation in Welding: Leveraging Advanced Machine Learning for Quality and Efficiency 27

Data-Driven Automation in Welding: Leveraging Advanced Machi...

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27th international conference on Advanced communications Technology, ICACT 2025

作者： Khan, Muhammad Omair Mozumder, Md Ariful Islam Azam, Ibad Ullah Akter, Shifat Shima Joo, Mon-Il Kim, Hee Cheol Institute of Digital Anti-Aging Healthcare Inje University Gimhae-si Korea Republic of Department of Industrial & Management Engineering Inje University Gimhae-si Korea Republic of

ISBN: (纸本)9791188428137

automation in manufacturing has played an important role in optimizing the welding process by attaining the utmost level of quality control with high operational efficiency. This paper analyzes 15,000 welding observations that belonged to the Hanthec organization. Through comparative analysis of SVM, MLP, and Decision Tree algorithms, our research establishes an effective machine learning framework for welding parameter optimization. The Decision Tree model obtained an excellent performance with the best accuracy of 80% and perfect recall. High correlations between power and thermal aspects as high as 0.96 have been obtained. The developed framework enables systematic parameter selection and demonstrates the potential for automated decision-making in industrial welding applications, contributing to improved manufacturing quality and reliability. ©20XX IEEE.

关键词： Smart manufacturing

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