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International Conference on Power, Energy, control and Transmission Systems (ICPECTS)

作者： K. Durgadevi N. Balaji R. Karthik C. Amali Department of Electronics and Communication Engineering SRM Valliammai Engineering College Tamilnadu India Department of Instrumentation and Control Engineering Sri Sairam Engineering College Tambaram Tamilnadu India Department of Electrical and Electronics Engineering SRM Valliammai Engineering College Tamilnadu India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508852

Infusion therapy plays a crucial role in delivering medications and fluids to patients, but it often requires close monitoring and manual intervention by healthcare providers. The InfuCare system addresses these challenges by integrating IoT-enabled devices and advanced analytics to enable remote monitoring, control, and optimization of infusion processes. At its core, the InfuCare system consists of IoT-enabled infusion pumps equipped with sensors to monitor parameters such as flow rate, pressure, and volume infused. These pumps communicate with a central monitoring platform via IoT connectivity modules, transmitting real-time data on infusion progress and patient status. A drip rate monitoring device can be used to measure the rate of intravenous infusion. There is now a wireless drip rate monitoring gadget available. In order to detect the drops, this gadget uses Ultrasonic TX (UTX) and Ultrasonic RX (URX). The sensor was installed to the drip chamber using a mountable clasp mechanism. The device determines the drip rate using a microprocessor, and when the drip rate goes outside of the predetermined range, the Wi-Fi connection module wirelessly alerts the central monitoring station. The technology guarantees real-time tracking of drip infusion parameters in this virtual environment, including accurate fluid level readings and physiological response monitoring. The smooth communication in the simulated environment made possible by the integration with Node MCU illustrates the design’s potential for developing an intelligent and networked healthcare infrastructure. IR sensor, DHT11, and HBR/SPO2 are used for remotely tracking human health care.

关键词： Wireless communication Wireless sensor networks Fluids Process control Medical treatment Sensor systems Real-time systems Intelligent sensors Remote monitoring Optimization

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A Time-Efficient Path Navigating Landmine Detection Robot

A Time-Efficient Path Navigating Landmine Detection Robot

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Intelligent Signal Processing and Effective Communication Technologies (INSPECT), IEEE International Conference on

作者： Rituraj Bhattacharjee Subhradip Mukherjee Hardik Gururaj Manish Rajpurohit Instrumentation & Control Engineering Department Manipal Institute of Technology Manipal Academy of Higher Education Manipal India Electronics and communication Department MVJ College of Engineering Bangalore India

ISBN: (数字)9798350379525

ISBN: (纸本)9798350379532

The goal of a landmine detection robot is to map the remaining area on a visual map with millimeter precision after covering as much ground as it can show landmines. The prototype land mine detection robot model described in this study offers a visual interface for mapping landmines, modifying PIDs, and aligning cameras. It is also reasonably powerful, accurate, and easy to operate with other sensors. The manual, semi-auto, and auto modes of controlling the differential drive robot are emphasized. Image processing determines the exact location of the robot and provides live reckoning feedback to its dead reckoning servo control. A beat metal detector is a kind of quiet sensor used to locate landmines. The overall objective of the system is to provide the user with something robust, affordable, and easily comprehensible for the user.

关键词： Visualization Landmine detection Robot vision systems Prototypes Metals Detectors Manuals Signal processing Servosystems Intelligent sensors

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Classification of Images Based on a System of Hierarchical Features

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Computers, Materials & Continua 2022年第7期72卷 1785-1797页

作者： Yousef Ibrahim Daradkeh Volodymyr Gorokhovatskyi Iryna Tvoroshenko Mujahed Al-Dhaifallah Department of Computer Engineering and Networks College of Engineering at Wadi AddawasirPrince Sattam Bin Abdulaziz UniversityAl-Kharj11991Saudi Arabia Department of Informatics Kharkiv National University of Radio ElectronicsKharkiv61166Ukraine Control and Instrumentation Engineering Department and Interdisciplinary Research Center(IRC)for Renewable Energy and Power SystemsKing Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia

The results of the development of the new fast-speed method of classification images using a structural approach are *** method is based on the system of hierarchical features,based on the bitwise data distribution for the set of descriptors of image *** article also proposes the use of the spatial data processing apparatus,which simplifies and accelerates the classification *** have shown that the time of calculation of the relevance for two descriptions according to their distributions is about 1000 times less than for the traditional voting procedure,for which the sets of descriptors are *** introduction of the system of hierarchical features allows to further reduce the calculation time by 2–3 times while ensuring high efficiency of *** noise immunity of the method to additive noise has been experimentally *** to the results of the research,the marginal degree of the hierarchy of features for reliable classification with the standard deviation of noise less than 30 is the 8-bit *** costs increase proportionally with decreasing bit *** method can be used for application tasks where object identification time is critical.

关键词： Bitwise distribution computer vision descriptor hierarchical representation image classification keypoint noise immunity processing speed

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A Comparison of Hourly Solar Energy Generation Forecasting Using RNN and LSTM Network 1

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3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication, MARC 2021

作者： Neeraj Gupta, Pankaj Tomar, Anuradha Department of Electronics and Communication Engineering Indira Gandhi Delhi Technical University for Women Delhi New Delhi India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology Delhi New Delhi India

ISBN: (数字)9789811928284

ISBN: (纸本)9789811928277

Nowadays, various advanced techniques, like big data and deep learning, have been used in energy management systems for improving energy efficiency. Various research has been done on solar power generation prediction using multiple machine learning approaches. However, it is not easy to make exact predictions due to the alternative nature of solar energy. Therefore, this work aims to accurately implement and compare the neural network models to predict solar power generation. The models in this study are implemented using Python, TensorFlow, and Keras. The performance of the models is evaluated using 500 KWp grid-connected plant data. This work forecasted a solar power generation for 72 h using a time series dataset. Approximately, three years of the dataset are collected from January 2019 to October 2021 with hourly resolution from Airport Depot, Delhi, India. This paper compared the performance of the recurrent neural network (RNN) and long short-term memory (LSTM) in the form of accuracy. The three-year energy generation dataset is split into train and test data. The train data uses three years of energy generation data from January 2019 to September 2021, while the test data are used for October 2021. As a result, the determinant of coefficient (R 2 ) is a statistical error matrix representing the predicted values’ accuracy. The results show that the LSTM model predicts solar power generation with high accuracy (R 2 = 0.92). © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Solar energy

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Speech Processing and Recognition of Sign Language using Tensor flow Classifier 3

Speech Processing and Recognition of Sign Language using Ten...

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3rd International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2022

作者： Murali, M. Senthil Kumar, V. Nithya, P. Prabhukumar, S. Mohanraj, K. Azhagumurugan, R. Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering Department of Electronics and Communication Engineering Chennai India Instrumentation and Control Engineering Sri Sairam Engineering College Chennai India Sri Sairam Engineering College Electrical & Electronics Engineering Chennai India

ISBN: (纸本)9781665462754

Communication facilitates social interaction and perspective exchange. Therefore, the deaf and mute face significant obstacles when attempting to participate in society. People are only able to communicate through the use of sign language. It is possible to translate sign languages into a form that can be used for public communication. To this end, we will develop a real-time system that can interpret and translate Sign Language into written language. The majority of the operation relies on custom-made components such as gloves and robotic arms. To complete this task, we employ a convolutional neural network and a deep learning strategy. Beginning with the Python library Keras for training convolutional neural networks, a sign-based classifier model is developed. Then, we utilised the real-time skin segmentation system to locate the Region of Interest within the bounding box. The classified region is utilised to predict the symbol. The classifier was found to be more effective against complex backgrounds and camera angles, and to translate sign language into speech and text that the hearing-impaired can comprehend. © 2022 IEEE.

关键词： Real time systems

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Design and Implementation of Trapezoidal Antenna for UWB Applications 3

Design and Implementation of Trapezoidal Antenna for UWB App...

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3rd International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2022

作者： Balaji, Manjalam Arun Raghesh, J.T. Palanivel, S. Mohanraj, K. Azhagumurugan, R. Balaji, N. Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering Department of Electronics and Communication Engineering Chennai India Sri Sairam Engineering College Instrumentation and Control Engineering Chennai India Sri Sairam Engineering College Electrical & Electronics Engineering Chennai India

ISBN: (纸本)9781665462754

In the majority of situations involving large groups of people at this time, it is not necessary to use a communication system with a high bandwidth. Using a trapezoidal antenna in a communication system with a broad bandwidth is something to consider if you want the best results possible from the system. Due to the phenomenon known as linear polarisation, a single antenna is capable of transmitting and receiving signals across a broad frequency spectrum. As a result, it is a very useful tool for monitoring the overall condition of the planet. By repeatedly running simulations, the voltage standing wave ratio (VSWR) can be optimised for maximum performance across its usable frequency range. This will allow the widest frequency range possible to be utilised. In order to rectify the situation, it is sufficient to implement the simulations. In addition to the gain and return loss of the component, they also consider the voltage standing wave ratio (VSWR). In addition, a near-field measurement system has been implemented in order to compare and contrast the performance of both theoretical and real antennas. The antenna configuration is capable of a wide variety of operations, including telemetry, GPS, RADAR, and Wi-Fi LANs. © 2022 IEEE.

关键词： Microstrip antennas

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FSM Based DNA Assembly Using Systolic Array 3

FSM Based DNA Assembly Using Systolic Array

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3rd International Conference on Power, Energy, control and Transmission Systems, ICPECTS 2022

作者： Bhuvaneswari, S. Ebenezer, Abishek. B Prabhu, V. Mohanraj, K. Azhagumurugan, R. Balaji, N. Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering Department of Electronics and Communication Engineering Chennai India Sri Sairam Engineering College Instrumentation and Control Engineering Chennai India Sri Sairam Engineering College Electrical & Electronics Engineering Chennai India

ISBN: (纸本)9781665462754

In this paper, we investigate the feasibility of computing DNA patterns on FPGAs by utilising high-performance and parallel computing. In particular, the report analyses and contrasts the FSM -based core implementation of the well-known Smith-Waterman pair-wise sequence alignment algorithm with the dynamic and heuristic alternatives that are currently on the market. In this research project, we investigate the use of parallel and high-performance computing to determine how DNA patterns can be computed on FPGAs. In particular, the report details the findings of a study that compared the FSM -based core implementation of the well-known Smith-Waterman pair-wise sequence alignment algorithm with the algorithm's current dynamic and heuristic programming methods. The study was carried out by comparing these three aspects of the algorithm. The traditional methods of sequence alignment that are software-implied are not adequate to meet the actual data rate requirements. A strategy that is based on the use of hardware makes it possible to process multiple new databases in parallel, which enables a high degree of scalability. A finite state machine serves as the primary data processor in our demonstration of how to organize the sequences of amino acids in a protein (FSM). We also investigate the effectiveness of bit-based sequence alignment algorithms and present the inner stage pipelined FPGA architecture for implementing sequence alignment. Both of these are presented in this paper. Synchronized controllers are utilized in the programming techniques of the algorithm for the purpose of parallel sequence alignment. Inference is the foundation of traditional software-based methods for sequence alignment, but these methods are unable to keep up with the required data rates. A strategy that is based on hardware allows for the processing of parallel tasks with a large number of new databases and provides excellent scalability. Our explanation of the classification of protein sequ

关键词： Proteins

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Enhancing transparency in global horizontal irradiance estimation with tree based machine learning algorithms and Shapley additive explanations framework

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International Journal of Ambient Energy 2025年第1期46卷

作者： Gupta, Rahul Ganvir, Chaitanya Jha, S.K. Singh, Rahul Baghel, Raj Kumar Department of Electrical and Electronics Engineering G L Bajaj Institute of Technology and Management Greater Noida India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology Dwarka India Department of Electrical Engineering Indian Institute of Technology Ropar Rupnagar India

The estimation of global horizontal irradiance (GHI) is crucial for assessing solar energy potential, especially for investment purposes in specific regions. This study employs two feature selection techniques such as recursive feature elimination (RFE) and least absolute shrinkage and selection operator (LASSO) to identify key variables from two datasets, which are then used to train four machine learning (ML) models such as Decision Tree (DT), Random Forest (RF), Extreme Gradient Boost (XGB), and Extra Trees (ET) regressors. The performance of these models is evaluated using three statistical metrics such as mean absolute error (MAE), root mean squared error (RMSE), and R-squared (R2). The results show that the ET regressor, when combined with LASSO, achieves the best predictive performance, with an MAE of 1.36 W/m² and an RMSE of 2.46 W/m2. The study further employs Shapley Additive Explanations (SHAP) to interpret the model, revealing that parameters like Diffuse Horizontal Irradiance, Solar Zenith Angle, and Direct Normal Irradiance significantly impact GHI prediction accuracy. The combination of feature selection, advanced ML models, and SHAP analysis offers a comprehensive and transparent framework for solar energy resource assessment, addressing the need for accuracy and interpretability in GHI estimation. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Solar irradiance

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IoT Based Smart Water Meter for Domestic Utility

IoT Based Smart Water Meter for Domestic Utility

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International Conference on Inventive Computation Technologies (ICICT)

作者： Lijo Jacob Varghese Devanath V. Kishore V. Poornima R Suma Sira Jacob Department of Electrical and Electronics Engineering Anna University Coimbatore India Department of Instrumentation and Control Engineering Anna University Coimbatore India Department of Artificial Intelligence and Machine Learning Anna University Coimbatore India

ISBN: (数字)9798331512248

ISBN: (纸本)9798331512255

In the absence of water, our kind would face extinction. Rapid population growth and increasing urbanization have become water usage monitoring a critical issue in our society. The water use of residences may be monitored, regulated, and perhaps reduced. The Internet of Things has recently introduced the potential for electronic devices, systems, and applications that might diminish water use in urban environments and structures. Although extensive study has been conducted on smart meter systems utilizing the IoT, there is significantly less investigation into the IoT sensor node, especially concerning battery longevity. This research aims to create and assess an efficient and effective data collection approach for IoT-based smart metering applications, emphasizing the significance of energy consumption. The system comprises a Wi-Fi-ESP8266, an Arduino Uno, and water flow sensors. This research introduces an IoT smart water meter system employing two ESP32 microcontrollers arranged in a master-slave configuration. It utilizes Wi-Fi connectivity for instantaneous monitoring and control. Utilizing a water flow sensor and the subordinate ESP32, connected to a local Wi-Fi network, data on water use may be transmitted wirelessly to the primary ESP32. Users may remotely track their water consumption using web platforms or mobile applications, while the master unit aggregates all data to provide real-time alerts for any irregular usage. The Wi-Fi-enabled communication among the ESP32 units renders the design optimal for both residential and commercial applications, as it eliminates the necessity for wired connections. To enhance water management, install a smart meter and utilize its features, such as leak detection and water conservation insights. The ESP32's Wi-Fi capabilities facilitate integration into larger IoT ecosystems, enhancing the system's scalability. This system provides comprehensive, real-time data to facilitate decision-making, promoting sustainable water

关键词： Meters Microcontrollers Scalability Water conservation Real-time systems Main-secondary Resource management Sustainable development Water resources Wireless fidelity

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Multi-Agent Swarm Robotics for Accurate Position Detection in Disaster Scenarios

Multi-Agent Swarm Robotics for Accurate Position Detection i...

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International Conference on Inventive Computation Technologies (ICICT)

作者： Kiran Ingale Amogh Deshmukh Amogh Deshpande Shravani Deshmukh Mahesh Deshmukh Suhas Bhise Department of Electronics and Telecommunication Engineering Vishwakarma Institute of Technology Pune India Department of Instrumentation and Control Engineering Vishwakarma Institute of Technology Pune India

Swarm Robotics is a specialized area in robotics that focuses on developing and implementing systems of multiple robots that collaborate and coordinate with each other to achieve a specific task. This approach is inspired by the behavior of social insects such as ants and bees, which work collectively to achieve a common goal. One of the most promising applications of swarm robotics is in the human evacuation during natural disasters. During such events, large numbers of people may become lost or trapped, making it challenging for rescue teams to locate and extract them. By deploying position-detecting swarm robots equipped with sensors and communication capabilities, rescue teams can quickly locate individuals and guide them to safety. These robots can also communicate with each other to coordinate their efforts and avoid duplication of work. This research study is prominently focused on this application and analyzing its potential use in the fieldof Swarm robotics.

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