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检索条件"任意字段=Proceedings of the 3rd International Conference on Mechatronics and Robotics Engineering"

共 6212 条记录，以下是91-100 订阅

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Design and Developement of Data Acquisition System for a Fsae car

Design and Developement of Data Acquisition System for a Fsa...

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： Akila K Subash C Kishore R Saravanan R Murugesan K Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore India Department of Automobile Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

New advances in DAQ and telemetry systems have become a primary basis for enhancing performance in FSAE vehicles. Current systems, although providing all necessary information on vehicle dynamics, are more limiting in terms of higher expenses, scalability, and integration complexity issues. It is by this regard that this work aims to propose a new, low-cost DAQ and telemetry system tailored to FSAE applications and developed by integrating different sensors into Arduino microcontrollers. It captures and transmits real-time data about the vehicles, allowing teams to monitor and analyse performance metrics efficiently. Building on previous work in hardware design, remote telemetry, and data analysis methodologies, this paper puts forth an overall framework for an economic but high-performance system. Experimental results have been generated that yield improvements over conventional alternatives in terms of data reliability, transmission velocity, and cost efficiency. The proposed methodology addresses the gap between high-function telemetry capabilities and fiscal constraints by providing a scalable framework for motorsport organizations while simultaneously allowing for potential developments within this area.

关键词： Temperature sensors Temperature measurement Microcontrollers Data acquisition Reliability engineering Real-time systems Temperature control Telemetry Vehicle dynamics Monitoring

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Automated Crop Harvesting with robotics Using AI

Automated Crop Harvesting with Robotics Using AI

引用

Device Intelligence, Computing and Communication Technologies, (DICCT), international conference on

作者： Kumar P Sangathtamil S Sadiq Peer Mohamed K Department of CSE Rajalakshmi Engineering College Chennai India Department of CSE REC Chennai India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

“Automated Crop Harvesting using robotics and AI” research may truly change the future of modern farming. New Robot Systems Integrated with Smarter Artificial Intelligence So the objective for making self-operating harvesters that can move around fields and find ripe crops using advanced machine vision and executing selective harvesting accurately. Among them, the project on real-time data from Using environmental sensors and AI-driven predictive analytics, the system hopes to improve harvesting. operations, increase crop yield, reduce waste. Innovation addresses pivotal issues such as labour Shortages and high operational costs while promoting sustainable farming practices. Ultimately, this project It works toward making farming better, ensuring that food is produced in a more reliable and efficient way. Also, this project considers how these technologies can work with farm management systems to Provides full monitoring and control. The all-inclusive method not only makes immediate harvesting better. Tasks and also helps with long-term farming plans and managing resources. By encouraging with new developments in robots and AI, the project aims to create better ways in farming technology, opening the This is the way forward to smart farming, the future.

关键词： Temperature sensors Program processors Accuracy Crops Robot sensing systems Manipulators Sensor systems Real-time systems Artificial intelligence Farming

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Design a High-Frequency Dual Active Bridge Converter for Discrete Time Frequency

Design a High-Frequency Dual Active Bridge Converter for Dis...

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： M. Karthik G. Hemalatha M. Mathankumar L. Sreevidya R. Deepalakshmi V. Kandasamy Department of Electrical and Electronics Engineering SRM Madurai College for Engineering and Technology Pottapalayam Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Electrical and Electronics Engineering SRM Institute of Science and Technology Trichy Tamil Nadu India Department of Electrical and Electronics Engineering V.S.B College of Engineering Technical Campus Coimbatore Tamil Nadu India Department of Computer Science Engineering SRM Madurai College for Engineering and Technology Pottapalayam Tamil Nadu India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The dual active bridge (DAB) has become a crucial interface element in today's sophisticated systems. Renewable energy sources produce DC power, which is then stored in batteries, ultra-capacitors, and other energy storage devices. DAB is a crucial part of power exchange between two different buses because of its galvanic separation and bidirectional power transfer capabilities. The operation of the DAB is compatible with a broad range of input voltages and output loads. The creation of DAB is covered in most works. A well-known semiconductor integrated circuit with programmable control parameters is used in this straightforward, inexpensive method.

关键词： Time-frequency analysis Renewable energy sources Costs Bridge circuits Switched reluctance motors Stability analysis Batteries Telecommunication computing Time-domain analysis Stress

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Color and Defect Detection in Industry Automation for Real Time Intelligent Product Sorting

Color and Defect Detection in Industry Automation for Real T...

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Device Intelligence, Computing and Communication Technologies, (DICCT), international conference on

作者： Sujatha Rajkumar Shreyas Nirgude Ashwin Anil Kulkarni Sumathi G Hamid Abdi School of Electronics Engineering Vellore Institute of Technology Vellore India Science Engineering and Built Environment Deakin University Waurn Ponds campus Australia

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

This paper presents a real-time object sorting system that classifies objects based on color and detects surface defects in an intelligent manner for multi-purpose application like autonomous vehicles, supply chain, robotics and so on. The proposed system uses state-of-the-art camera module to capture images of objects and processes them through computer vision to classify items based on color and defect status. The captured images are compared against a custom dataset of labeled samples to ensure accuracy. Based on performance metrics, the intelligent CNN algorithm demonstrates superior classification accuracy compared to RFC, especially in complex scenarios. The edge processor module controls sorting mechanism, where servos actuate to direct objects into designated bins based on classification results. The research work illustrates exploring the potential of machine learning algorithm in automated quality assurance, offering scalable, adaptable, and efficient solutions for industrial applications.

关键词： Computer vision Machine learning algorithms Automation Accuracy Image color analysis Supply chains Real-time systems Surface treatment Sorting Defect detection

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Evaluating the Efficiency of Dual-Zone Registration System with Timer Mechanism in Wireless Networks

Evaluating the Efficiency of Dual-Zone Registration System w...

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Integrated Circuits and Communication Systems (ICICACS), IEEE international conference on

作者： Ramakrishnan Raman Vinoth T Amit Barve Vinita Tiwari Symbiosis International (Deemed University) Pune India Department of Mechatronics Engineering Chennai Institute of Technology Kundrathur Chennai India Department of Computer Science and Engineering Faculty of Engineering and Technology Paruluniversity Vadodara India Balaji Institute of International Business (BIIB) Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

The increasing demand for efficient communication in wireless networks necessitates optimized registration systems that ensure smooth connectivity and scalability. This paper introduces a novel Dual-Zone Registration System with a Dynamic Timer Mechanism designed to enhance registration efficiency in wireless networks. The system classifies devices into two zones: a primary zone for immediate registration and a secondary zone for devices requiring delayed registration. Leveraging a dynamic timer mechanism, the system regulates registration attempts to reduce congestion and optimize resource allocation. Simulations reveal that the proposed system significantly improves key performance metrics, including registration success rate, average registration time, packet loss, and network load. The dual-zone system achieved a 95% registration success rate, reducing packet loss to 3% compared to 12% in centralized systems and 8% in simple timer-based systems. Average registration time decreased to 6.3 seconds, outperforming centralized (12.5 seconds) and simple timer-based systems (9.8 seconds). Additionally, the system maintained a lower network load of 45 requests per second, showcasing its scalability and efficiency. By dynamically adjusting registration delays based on real-time network conditions, the proposed system ensures efficient resource utilization and balanced load distribution, making it a promising solution for large-scale wireless networks. These findings validate the effectiveness of the dual-zone approach in improving the scalability, reliability, and overall performance of modern wireless networks.

关键词： Adaptive systems Wireless networks Scalability System performance Packet loss Real-time systems User experience Delays Resource management Load modeling

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Power System Equipment Detection in Thermal Images by Deep Learning Approach

Power System Equipment Detection in Thermal Images by Deep L...

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Industrial Electronics: Developments & Applications (ICIDeA), IEEE international conference on-

作者： Biswojyoti Khandual Rupali Balabantaraya Ashwin Kumar Sahoo Prabodh Kumar Sahoo Sibashis Panda Anushka Parashar Department of Electrical Engineering C.V.Raman Global University Bhubaneswar India Department of Mechatronics Parul Institute of Technology Parul University Gujarat India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

The non-contact accuracy of infrared thermography has made it indispensable for electrical equipment inspection. In order to recognize electrical equipment in thermal pictures, this study presents a revolutionary neural network-based learning model. Based on the neural network algorithm, the proposed work suggests a real-time object detection model YOLO-V8, that can predict the coordinate points, orientation angle, and type of class of certain equipment. To improve accuracy, particularly for small items, the model incorporates an orientation consistency prior. In the proposed work, an extensive thermal imaging dataset of a distribution transformer; covered a range of settings and equipment kinds. According to experimental results, the suggested model achieves a mean average precision of 93.7%, demonstrating its robustness to noise and ability to function at 20 frames per second resulting in accurate detection of different segments of a distribution transformer in a thermal image.

关键词： Deep learning Image segmentation Accuracy Neural networks Object detection Inspection Transformers Real-time systems Thermal noise Robustness

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Revolutionizing Agriculture: A Comprehensive Review of Machine Learning for Sustainable Farming

Revolutionizing Agriculture: A Comprehensive Review of Machi...

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： Akila K Snehaa Muthu Subash C Murugesan K Saravanan R Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore India Department of Biotechnology Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Agriculture is the practice of cultivating land and producing nourishment for living things. Agriculture is a sensible effort to reshape a portion of the Earth's crust. India's economy is heavily reliant on agriculture. Agriculture and related activities employ roughly 54.6% of the total labor force and provide 17.8% of the nation's GDP. The globe is worried about potential food shortages because of a rising population. Agricultural challenges include crop management, soil erosion, and climatic changes. This study emphasizes a solution to overcome such issues. Artificial Intelligence (AI) and Machine Learning (ML)-based predictive analysis are the primary solutions to be used in agricultural settings. Predictive analytics is the practice of analyzing data to forecast future events. The approach employs data analysis, machine learning, artificial intelligence, and statistical models to find patterns that may predict future behavior. The article employs predictive analysis to examine the four key areas of crop management, soil management, water management, and harvesting.

关键词： Data analysis Reviews Crops Machine learning Soil Predictive models Agriculture Telecommunication computing Predictive analytics Meteorology

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IOT based Automation System for Household Appliances

IOT based Automation System for Household Appliances

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： Premalatha Gurumurthy R. Raffik P. Dinesh Kumar R. B. Saroo Raj Dharmalingam Murugesan Manjunathan Alagarsamy Department of Electronics and Communication Engineering Prathyusha Engineering College Chennai Tamil Nadu India Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India Department of Computer Science and Engineering Vivekanandha College of Technology for Women Tiruchengode Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Electronics and Communication Engineering Kongunadu College of Engineering and Technology Trichy Tamil Nadu India Department of Electronics and Communication Engineering K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The Internet of Things (IoT) has disrupted home automation with device integration, real-time control, and better user comfort. Scalability, connection, and usability limitations plague traditional GSM-based home automation systems. IoT allows smartphones, tablets, and other smart devices to control electrical equipment remotely, ensuring energy efficiency, convenience, and security. IoT-based automation uses communication protocols, cloud computing, and sensors for intelligent functionality and real-time feedback. Modern smart home ecosystems are more flexible, scalable, and interoperable with IoT platforms like Zigbee, Wi-Fi, and MQTT than GSM-based systems. This study creates an IoT-based home automation system using microcontrollers, sensors, and IoT cloud platforms for smart homes that is cost-effective, user-friendly, and sustainable. This study shows how IoT is transforming home automation and can produce more sustainable, intelligent homes than conventional systems. As they evolve, IoT technologies could make home automation more efficient, safe, and user-friendly, enabling a more intelligent and connected future.

关键词： Home appliances Cloud computing Home automation Automation Virtual assistants Zigbee Real-time systems Internet of Things Artificial intelligence Wireless fidelity

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Solar-Powered Smart Wheelchair with Voice Controller for Physically Challenged People

Solar-Powered Smart Wheelchair with Voice Controller for Phy...

引用

Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： M. Karthik G. Hemalatha L. Sreevidya R. Deepalakshmi K Premalatha Department of Electrical and Electronics Engineering SRM Madurai College for Engineering and Technology Tamil Nadu India Department of Robotics and Automation Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Electrical and Electronics Engineering V.S.B College of Engineering Technical Campus Coimbatore Tamil Nadu India Department of Computer Science Engineering SRM Madurai College for Engineering and Technology Tamil Nadu India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

It is challenging for those with strong mental faculties but physical disabilities to get around in a conventional hand-powered wheelchair. This project will enable any existing wheelchair to have an inexpensive assembly that enables a smart motion automation system that can be controlled by speech recognition on a smartphone. Continuous operation is guaranteed by the dual-charging system, which also offers longer mobility without the need for frequent recharging and independence from external power outlets. This enables users to adjust to varying conditions by depending on solar power during the day and switching to battery charging when solar energy is scarce. The main concept is a smartphone with built-in Bluetooth connectivity and the Android operating *** the distribution of the application we have developed, the goal of our project may be extended to other mobile devices that run Android software. The second main component of our system design is the microprocessor, which drives the wheelchair's dc motor in different directions. The wheelchair may now travel in a variety of directions thanks to this. The suggested model operates autonomously and on its own.

关键词： Automation Gears Navigation Wheelchairs Operating systems Wheels Solar energy DC motors Mobile handsets Telecommunication computing

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Android Health Monitoring and Dietary Guidance for Smartwatch

Android Health Monitoring and Dietary Guidance for Smartwatc...

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Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), international conference on

作者： M. Rajesh Khanna R. Raffik Vairaprakash Selvaraj Sandanakaruppan Ammavasai S.Subbulekshmi Manjunathan Alagarsamy Department of Information Technology Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Chennai Tamil Nadu India Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering Ramco Institute of Technology Tamil Nadu India Department of Computer Science and Business Systems Sri Eshwar College of Engineering Coimbatore Tamil Nadu India Department of Electronics and Communication Engineering Prathyusha Engineering College Chennai Tamil Nadu India Department of Electronics and Communication Engineering K. Ramakrishnan College of Technology Trichy Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The objective of this paper is to develop a health monitoring app that uses Bluetooth smartwatches to collect real-time health data like blood pressure, heart rate, BMI, and blood sugar levels. Comparing this data to healthy adult wellness markers is the major purpose to verify its accuracy. The computer then generates personalized diets based on confirmed health data including daily calorie intake and macronutrient distribution. Bluetooth technology is needed to transport data from the smartwatch to the smartphone, where algorithms determine the user's diet and health. The app's simple UI displays historical patterns, dietary suggestions, and real-time health data. The papers key outcomes were personalized dietary regimens, Bluetooth connectivity for real-time data collection, and health metrics validation against established criteria. The app's real-time health data-based preventative treatment suggestions have significant potential to improve personal health management. By helping users make informed eating and lifestyle choices, the program improves health and may reduce healthcare system burden. Such technologies can reduce chronic diseases, encourage better lifestyles, and improve public health management.

关键词： Heart rate Cloud computing Bluetooth Accuracy Target tracking Real-time systems Blood pressure Biomedical monitoring Public healthcare Monitoring

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