← Back to Archives
VOLUME 12, ISSUE 4, APRIL 2024
Design of SVC for Dynamic Compensation to Improve LVRT of Small Wind Turbine
Sangamesh Y. Goudappanavar, Vijayalaxmi R. H.
Mobile app for detecting of potential bud fruitfulness: A tool for predicting
Dipti D. Choudhari, Adiraj A. Patil, Govind S. Kale, Dr. Jyoti S. Rangole
Machine Learning Based Air pollution Predictor
Sridevi N, PrasannaKumar M
Plant Disease Detection Using Machine Learning
Gauri Bhosale, Atharva Atpadkar, Rutwik Kakade, Mr. V. U. Deshmukh
IOT based system for coal miners safety and health Monitoring
Prof. T. H. Mohite, Nikhil Amit Shendage, Mansing Malharrao Shinde, Prathamesh Madhukar Killedar
Design and operation of agriculture Based pesticide spraying and Grass Cutting Robot
Prof. Dr. S. R. Mahadik, Krushnath Koli, Sakshi Kathale, Poonam wagharalikar
Load Flow Analysis of Power System in ETAP
Prof. Vishal V. Mehtre, Mr. Ishwar Katakwar
IoT BASED SMART POULTRY FARM
Dr.S.B.Patil, Aditya Avinash Nagvekar, Sourabh Bhimagonda Kagilkar, Abhishek Basavaraj Naikwadi
Anti-collision Vehicle System
Prof. V. T. Kamble, Sammed Arun Kole, Govinda Jagdish Gaikwad, Aditya P. Kulkarni
Electricity Generation By Thermoelectric Generator Plates
Dhamdhere Makrand Sanjay, Dhame Pranav Ramdas, Gaikwad Pranali Narayan, Kulal Supriya Sandip, Shinde Sumit Manik, Prof. V.A.Patil
Design and Analysis of Landing gear
Sadaf Paikar Riyaz Ahemad Khan, MD Zikwan Ahmed, Omkar Hari Jadhav
Electromagnetic Based Vehicle Conversion Kit
Jishnu T J, Richu Antony, Imthiaz Abdulla, Tom Thaliath, Fr. Mejo Paul CMI
An Intelligent Animal Repelling System For Crop Protection
Abel M Prakash, Harsh R, Milen Roy, Shreya Joseph, Santhi B
IOT Based EV Battery Health Monitoring System
Prof.P.P.Belgali, Varun Vinod Kulkarni, Pavan Balaso harale, Rohan Vitthal Jadhav
Anti Drone System Robot
Prof. Mr.M.M.Kolap, Aaysha Salim Nadaf, Alfaz Najeer Hawaldar, Alisha Fayyaz Sharikmaslat
COMPARATIVE STUDY OF DIFFERENT TYPES OF MOTORS USED IN ELECTRIC VEHICLE
Amal Raj N, Joel Kuriakose Joy, Ancy C. V, Nandana K Jigosh
Automatic Tomato Harvesting System using Image Processing Techniques
Mayuri Bansode, Divyani Bhosale, Pallavi Hanimnale, Rutika Patil, Sejal Patil, Prof. Dr. Vaibhav Baburao Magdum
A Surface Water Trash Collector Based On Object Detection
Abigail Achu Mathew, Aman Moopan M, K R Indulekha, Resmi Saji, Santhi B
Soft Starter For DC Motor with Speed Control by PWM Method
Utkarsh Goundaje, Ganesh Dhulugade, Abhijeet Sontakke, Prof.S.S.Manjare
Electric Vehicle’s Battery Management System With Charge Monitor And Fire Protection
Suyash S. Hujare, Ashutosh S. Shintre, Shridhar S. Dabade, Rohini U. Madane, Sanika S. Ghodake, Prof. Dr. R.M.Malkar
SOLAR POWERED AUTOMATED MULTI-TASKING AGRICULTURAL ROBOT
Sheetal Patted, Kavyashree K, Kirthi Bharadwaj D V, Sowjanya R
INTELLIGENT SITTING POSTURE CLASSIFIER SMART CHAIR
Chandra Sekhar S, Apoorva R, Harshitha B.B, Mythri Gowda J
BRAINWAVE CONTROLLED MINIATURE WHEELCHAIR USING BCI TECHNOLOGY
Theodore Jesudas Dandin, Navyashree S, Suchithra M, Yashu K
Smart APFC Employing Fuzzy Logic Controller
Govind Nandakumar, Maria Theresa Sabu, Samuel Stephen, Athul Krishna A S, Hans John Dcruz
Electric Kick Scooter For Campus Drive
Amith S, Harry Tomy, Sana Saju, Caroline Ann Sam
ADVANCED ELECTRIC BIKE WITH INTEGRATED SAFETY AND MONITORING SYSTEM
Usha H.N, Balaji S, Sumukha R
SMART READER GLASS FOR VISUALLY CHALLENGED
Purva Kamat Mhamai, Abhishek N, Mohammed Faizal, Rohith N
Enhancing Railway Resilience: Real-time Monitoring and Early Warning Systems
Anusha Karve, Atharva Garud, Mrs. A. A. Kokate
3D SCANNER USING RASPBERRY PI
Dr.T.B.Mohite Patil, Rutik Gurav, Swapnil Banchode, Ajinkya Kathar, Aniket Bulbule, Tejas Mohite
A REVIEW ON SMART GRID – A FUTURE ENERGY MANAGEMENT SYSTEM
Prof. Shubhangi Shivaji Manjare, Prof. Prachi Arihant Chougule, Prof. Supriya Arun Wadekar
A Review of IoT Applications, Attacks and Its Recent Defence Methods
Prof. Prachi Arihant Chougule, Prof. Supriya Arun Wadekar, Prof. Shubhangi Shivaji Manjare
A review Wireless charging strategies for Electric Vehicle
Mrs. Supriya Arun Wadekar, Shubhangi Shivaji Majare, Prachi Arihant Chougule
Productivity improvement of white coal industry by implementing TPM
Samreen Parveen Abdul Sattar, Sakshi D. Ahire, Sahil L. Kamble, Aditya V. Kamdi
Literature review of white coal production
Samreen Parveen Abdul Sattar, Sakshi D. Ahire, Sahil L. Kamble, Aditya V. Kamdi
Recent Development in Solar-Powered Grass Trimmer and Lawn Care Technology
Bhargav Shivbhakta, Aryan Humnabadkar, Mrs. A. A. Kokate
Discrimination between inrush current and fault current by using wavelet transform
Gauri murkar, Janvi rajput, Sakshi awchar, Shreya dipke, Jatin ghage, Yash gajbhiye
Advancement in Electric Drives
Lovely Gaur, Rajitha T. B., Kavita Sawant, Srilakshmi Inampudi
DESIGN AND DEVELOPMENT OF THREE – PHASE TRANSFORMER
Dr. Anagha R. Soman, Atharva R. Deshmukh, Aditya D. Kulkarni, Anushka N.Kulkarni, Purva S.Nagdeote
Abstract
Modeling and Analysis of Conductive and Inductive Charging Development for EV Systems with MATLAB Implementation of Battery Controlled Split-Pi Converter
Shetu Roy
DOI: 10.17148/IJIREEICE.2024.12401
Abstract: Zero emission mobility is one of the most important applications in the electric vehicle market being in a continuous growth where new charging technologies are getting popular with new developments. Developing fast charging topologies and strong infrastructure can be the solution to limit the autonomy of vehicles which is growing faster and need to be in consideration. This research article shows and discuss the recent topologies and the methodologies of EV charging module, and finally comes in a new charging system for the better solution covered with Split-Pi power electronic converter based on conductive and inductive (wireless) charging applications. These fundamentals are related to the electric vehicles. The problems resulting from global warming and with direct involvement of the most severe issues such like burning and consumption of fossil fuels needs modification and improvement, and EVs are the ultimate solution there. The detailed design and analyses of the new topologies has been performed with controlled front-end stage AC-DC converter, control of Split-Pi DC-DC Converter, and battery based on simulation using MATLAB/Simulink. The entire simulation analysis and design parameters, associated with the proposed converter and battery controller has been highlighted, and discussed regarding ideas on the advancement of conductive and inductive charging scheme for battery electric vehicles.
Keywords: Split-Pi Converter, Battery Charger, Battery Charge Controller, Conductive Charging, Inductive or Wireless Charging, Front-End Stage AC-DC Converter.
Keywords: Split-Pi Converter, Battery Charger, Battery Charge Controller, Conductive Charging, Inductive or Wireless Charging, Front-End Stage AC-DC Converter.
Abstract
Design and Control of Split-Pi DC-DC Converter for Vehicle to Grid and Grid to Vehicle Applications with Development of Energy Management System in MATLAB/Simulink
Shetu Roy
DOI: 10.17148/IJIREEICE.2024.12402
Abstract: Electric vehicles (EVs) are very useful for reducing carbon emission and energy-efficient transportation. Green energy and minimization of emissions are the needs which are regularly thriving automakers to produce electric transportations. Electric vehicles market is highly increasing day by day and its share will be growing even more higher in the upcoming future. To build up EV battery chargers need AC-DC converters and DC-DC converters. EV chargers can optimize vehicle-to-grid (V2G) and grid-to-vehicle (G2V) operations through properly using bidirectional DC-DC converters. The Split-Pi converter is a recently invented DC-DC converter that can support V2G and G2V operation with its bidirectional functionalities. This paper presents a detailed analysis and control of Split-Pi converter for V2G and G2V operation, and development of energy management system. The energy management combination of Lithium-Ion batteries and supercapacitors in EVs can minimize cost, maximizing its range, efficiency and reliability. The EV charging system employing Split-Pi converter analyzed for V2G and G2V applications has been designed in the MATLAB/Simulink platform. Although many topologies and ideas are modified regarding those applications, there are still some processes to identify the new methodologies. Split-Pi converter-based battery and energy management system must be taken into consideration to prevent battery problems such as battery aging, power losses, and slow charging. Both battery lifetime and efficiency can be improved by this way.
Keywords: Split-Pi DC-DC Converter, Battery Charger, Electric Vehicle, Vehicle to Grid (V2G), Grid to Vehicle (G2V), Energy Management.
Keywords: Split-Pi DC-DC Converter, Battery Charger, Electric Vehicle, Vehicle to Grid (V2G), Grid to Vehicle (G2V), Energy Management.
Abstract
Design of SVC for Dynamic Compensation to Improve LVRT of Small Wind Turbine
Sangamesh Y. Goudappanavar, Vijayalaxmi R. H.
DOI: 10.17148/IJIREEICE.2024.12403
Abstract: This paper presents a control scheme for voltage and reactive power support of wind turbine generator connected to 11 kV grid. The proposed system consists of variable speed wind turbine coupled to PMSG through gear box, transmission line, transformer, and grid. The generated power is fed to the resistive load (1158W) of admission block of Basaveshwar Engineering College Bagalkote (BEC) and excess generation is fed to the grid. The proposed system employs design of Static VAR Compensator (SVC) comprises shunt capacitor or reactor banks which is switched by the thyristors by means of phase angle modulation to provide a continuous variable VAR injection to the electrical network and helps to improve the capability of Low Voltage Ride Through (LVRT). It is observed from the simulation results during fault condition the voltage dip occurs and when SVC is added to the system the voltage support is increased by 38% and by this the capability of LVRT improves and it maintain the continuity of WTG with grid. The system is also tested by considering hourly and monthly variable wind speed data measured from BEC SCADA for Distribution & Automation Research Centre from the wind mast which is located at Energy Park of BEC Bagalkot. Furthermore the proposed system shows the advantage of voltage and reactive power support at PCC.
Keywords: Permanent magnet synchronous generator (PMSG), Wind energy conversion systems (WECS), Low Voltage Ride Through (LVRT). Static VAR Compensation (SVC).
Keywords: Permanent magnet synchronous generator (PMSG), Wind energy conversion systems (WECS), Low Voltage Ride Through (LVRT). Static VAR Compensation (SVC).
Abstract
Mobile app for detecting of potential bud fruitfulness: A tool for predicting
Dipti D. Choudhari, Adiraj A. Patil, Govind S. Kale, Dr. Jyoti S. Rangole
DOI: 10.17148/IJIREEICE.2024.12404
Abstract: The budding process in grape cultivation is a crucial stage that significantly influences the quality and yield of grape harvests. This abstract introduces an innovative approach that combines the power of the YOLOv8 algorithm with a mobile application to enhance the detection and monitoring of grape buds during the budding process.
High-resolution images of grapevines in various budding stages are captured using imaging tools and these images are processed through the YOLOv8 algorithm. This state-of-the-art object detection system excels at accurately identifying grape buds and categorizing them based on their developmental stages, including dormant, swelling, green tip, and advanced growth phases.
Here we are doing the integration of a user-friendly mobile app. The application provides Grape growers and vineyard managers with real-time access to the YOLOv8-based detection system. This empowers users to view, analyze, and track grape bud development directly from their mobile devices. It also allows for immediate decision-making, as users can time vital tasks such as pruning, irrigation, and disease management with precision.
In conclusion, the fusion of the YOLOv8 algorithm with a user-friendly mobile application for grape bud detection in the budding process is a groundbreaking advancement in precision viticulture. This innovative solution not only improves the accuracy of bud detection but also offers accessible and data-driven vineyard management. The research presented here opens new horizons for grape cultivation, benefiting both the viticulture industry and the broader agricultural community.
Keywords: Segmentation, Bud’s Detection, Final work on App, YOLOv8 algorithm.
High-resolution images of grapevines in various budding stages are captured using imaging tools and these images are processed through the YOLOv8 algorithm. This state-of-the-art object detection system excels at accurately identifying grape buds and categorizing them based on their developmental stages, including dormant, swelling, green tip, and advanced growth phases.
Here we are doing the integration of a user-friendly mobile app. The application provides Grape growers and vineyard managers with real-time access to the YOLOv8-based detection system. This empowers users to view, analyze, and track grape bud development directly from their mobile devices. It also allows for immediate decision-making, as users can time vital tasks such as pruning, irrigation, and disease management with precision.
In conclusion, the fusion of the YOLOv8 algorithm with a user-friendly mobile application for grape bud detection in the budding process is a groundbreaking advancement in precision viticulture. This innovative solution not only improves the accuracy of bud detection but also offers accessible and data-driven vineyard management. The research presented here opens new horizons for grape cultivation, benefiting both the viticulture industry and the broader agricultural community.
Keywords: Segmentation, Bud’s Detection, Final work on App, YOLOv8 algorithm.
Abstract
Machine Learning Based Air pollution Predictor
Sridevi N, PrasannaKumar M
DOI: 10.17148/IJIREEICE.2024.12405
Abstract: Over last few decades’ pollution in the air have been increasing promptly over the globe, due to growing urbanization and industrialization. The degrading air quality effects the climate condition and hence severe health issues related to lung and respiratory system. Hence, monitoring the quality of air becomes crucial in keeping the atmosphere and global ecosystem clean. However, the existing methods such as Probability and Statistics are more complex method to detect the air quality. In order to overcome from the above issues this paper proposes a system to monitor the air pollution using Machine Learning. A new Dataset is created to by measuring different pollutants in air arund Nagarbhavi area in Bengaluru, Karnataka, India using sensors. To validate the method the actual value is compared with predicted value.
Keywords: Air Quality, Prediction, Machine Learning, classification, dataset
Keywords: Air Quality, Prediction, Machine Learning, classification, dataset
Abstract
Plant Disease Detection Using Machine Learning
Gauri Bhosale, Atharva Atpadkar, Rutwik Kakade, Mr. V. U. Deshmukh
DOI: 10.17148/IJIREEICE.2024.12406
Abstract: Agricultural practises are essential to maintaining food security and sustaining our growing global population. on the other hand, plant disease pose a serious threat to crop harvests, causing financial losses and food shortages.
The study begins by collecting high resolution photos of plant leaves, paying particular attention to leaves that show signs of illness. The images then pre-processed to enhance their quality and standardize them for analysis. Various machine learning algorithms including Convolutional Neural Networks (CNNs), are trained on this dataset enabling accurate classification of healthy and diseased plant leaves.
The best things is that by developing web-platform for field deployment of the trained machine learning models. This makes it possible to detect disease easily, which helps farmers manage their crops more intelligently. Furthermore, the detecting system made to be user friendly, offering a simple web platform for users to interact with the detecting system.
Keywords: Plant disease Detection, Machine learning, Web developement, Image processing, Computer vision, Deep learning, Convolutional neural networks, Training dataset, Python programming, TensorFlow.
The study begins by collecting high resolution photos of plant leaves, paying particular attention to leaves that show signs of illness. The images then pre-processed to enhance their quality and standardize them for analysis. Various machine learning algorithms including Convolutional Neural Networks (CNNs), are trained on this dataset enabling accurate classification of healthy and diseased plant leaves.
The best things is that by developing web-platform for field deployment of the trained machine learning models. This makes it possible to detect disease easily, which helps farmers manage their crops more intelligently. Furthermore, the detecting system made to be user friendly, offering a simple web platform for users to interact with the detecting system.
Keywords: Plant disease Detection, Machine learning, Web developement, Image processing, Computer vision, Deep learning, Convolutional neural networks, Training dataset, Python programming, TensorFlow.
Abstract
IOT based system for coal miners safety and health Monitoring
Prof. T. H. Mohite, Nikhil Amit Shendage, Mansing Malharrao Shinde, Prathamesh Madhukar Killedar
DOI: 10.17148/IJIREEICE.2024.12407
Abstract: A smart helmet has been developed that is able to detect of hazardous events in the mines industry. In the development of helmet, we have considered the three main types of hazards such as air quality, helmet removal, and collision. The first is the concentration level of the hazardous gases such as CO, SO2, NO2, and particulate matter. The second hazardous event was classified as a miner removing the mining helmet off their head. IR sensor was then used to successfully determine when the helmet is on the miner’s head. The third hazardous event is defined as an event where miners are struck by an object against the head with a force. An accelerometer was used to measure the acceleration of the head and the HIC was calculated in software. Tests were successfully done to calibrate the accelerometer. The experimental prototype consists of three sensors namely gas, infra-red and proximity sensor for their usage and the sensor data are monitored in pc via Node MCU transceiver unit.
Keywords: Arduino Uno, DTH Sensor, Gas Sensor etc.
Keywords: Arduino Uno, DTH Sensor, Gas Sensor etc.
Abstract
Design and operation of agriculture Based pesticide spraying and Grass Cutting Robot
Prof. Dr. S. R. Mahadik, Krushnath Koli, Sakshi Kathale, Poonam wagharalikar
DOI: 10.17148/IJIREEICE.2024.12408
Abstract: In this design the source energy is ambitious from the sun radiation by using PV panels and it is stored in 12V rechargeable DC battery. The proposed proto-vehicle performs two operations that are controlled using a switch. The first operation is grass cutting, the grass cutting blade is connected a DC Motor. The second operation is the spreading of water/pesticide, here we use a water pump connected to the spreading nozzle by the means ofhoses. The battery is connected to the RF Module with controls all the motors.
The RF session encompasses an RF transmission and reception. This Tx/Rx pair (RF module) functions at a frequency of 434 MHz. The data required for the RF transmitter is received from series of serial data and is transmitted in wireless manner using the RF antenna. The data that is transmitted is received by RF receiver in the RF module with same operating frequency of transmitter. The RF module has a pair of encoder/decoder and is used with the module itself. The encoder encodes the parallel data for the transmission system and the at the reception decoder unit is used for decoding the data. Input signals are transmitted throughfour channels and the outputs are observed with a set of four LED’s with respect to corresponding switches
The RF session encompasses an RF transmission and reception. This Tx/Rx pair (RF module) functions at a frequency of 434 MHz. The data required for the RF transmitter is received from series of serial data and is transmitted in wireless manner using the RF antenna. The data that is transmitted is received by RF receiver in the RF module with same operating frequency of transmitter. The RF module has a pair of encoder/decoder and is used with the module itself. The encoder encodes the parallel data for the transmission system and the at the reception decoder unit is used for decoding the data. Input signals are transmitted throughfour channels and the outputs are observed with a set of four LED’s with respect to corresponding switches
Abstract
Load Flow Analysis of Power System in ETAP
Prof. Vishal V. Mehtre, Mr. Ishwar Katakwar
DOI: 10.17148/IJIREEICE.2024.12409
Abstract: This study demonstrates the application of the Electrical Transient Analyzer Program (ETAP) for load flow analysis on a representative distribution network. A detailed ETAP model is developed, and load flow simulations are performed under various operating conditions like normal, transformer overloading, and increased loads. The results provide insights into steady-state voltage profiles, power flows, and line loadings, highlighting ETAP's ability to identify potential issues. The findings underscore the importance of load flow studies for reliable power system operation and the value of advanced simulation tools like ETAP. Furthermore, the load flow data serves as a basis for further analyses, enabling comprehensive system assessments and optimization. The work contributes to power system analysis and emphasizes employing sophisticated software for addressing modern grid challenges.
Keywords: Load Flow, ETAP Simulation, Power Distribution, Line Loadings.
Keywords: Load Flow, ETAP Simulation, Power Distribution, Line Loadings.
Abstract
IoT BASED SMART POULTRY FARM
Dr.S.B.Patil, Aditya Avinash Nagvekar, Sourabh Bhimagonda Kagilkar, Abhishek Basavaraj Naikwadi
DOI: 10.17148/IJIREEICE.2024.12410
Abstract: The demand for high-quality and sustainable food production has led to significant advancements in agricultural practices. In particular, poultry farming has witnessed a paradigm shift with the integration of Internet of Things (IoT) technologies. This abstract presents an overview of an IoT-based smart poultry farm designed specifically for optimized egg production.
The proposed smart poultry farm leverages IoT devices and sensors to monitor and control various parameters crucial to the well-being and productivity of the poultry. The system encompasses a comprehensive network of interconnected devices, including environmental sensors, automated feeding systems, smart egg collection mechanisms, and real-time data analytics.
The IoT-based smart poultry farm offers several benefits, including increased egg production efficiency, improved animal welfare, reduced labor requirements, and enhanced profitability. By providing real-time monitoring and control, farm managers can quickly identify and address any issues or abnormalities, resulting in optimized egg production and overall farm management.
Keywords: Arduino Uno, DTH Sensor, Gas Sensor etc.
The proposed smart poultry farm leverages IoT devices and sensors to monitor and control various parameters crucial to the well-being and productivity of the poultry. The system encompasses a comprehensive network of interconnected devices, including environmental sensors, automated feeding systems, smart egg collection mechanisms, and real-time data analytics.
The IoT-based smart poultry farm offers several benefits, including increased egg production efficiency, improved animal welfare, reduced labor requirements, and enhanced profitability. By providing real-time monitoring and control, farm managers can quickly identify and address any issues or abnormalities, resulting in optimized egg production and overall farm management.
Keywords: Arduino Uno, DTH Sensor, Gas Sensor etc.
Abstract
Anti-collision Vehicle System
Prof. V. T. Kamble, Sammed Arun Kole, Govinda Jagdish Gaikwad, Aditya P. Kulkarni
DOI: 10.17148/IJIREEICE.2024.12411
Abstract: he Anti-Collision Vehicle System (ACVS) is an innovative technology designed to enhance road safety by preventing collisions between vehicles. This system utilizes a combination of sensors, communication protocols, and intelligent algorithms to detect potential collision risks and alert drivers in real-time. By integrating radar, lidar, and camera-based sensors, ACVS provides comprehensive coverage of the vehicle's surroundings, enabling early detection of obstacles, pedestrians, and other vehicles. The system employs advanced machine learning algorithms to analyze sensor data and predict potential collision scenarios, allowing for proactive intervention measures such as automatic braking or steering assistance. Additionally, ACVS facilitates vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication, enabling collaborative collision avoidance strategies and enhancing overall traffic management efficiency. Through its proactive approach to collision prevention, the Anti-Collision Vehicle System aims to significantly reduce the incidence of accidents and improve road safety for all road users.
Keywords: Anti-Collision Vehicle System (ACVS), vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I)
Keywords: Anti-Collision Vehicle System (ACVS), vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I)
Abstract
Electricity Generation By Thermoelectric Generator Plates
Dhamdhere Makrand Sanjay, Dhame Pranav Ramdas, Gaikwad Pranali Narayan, Kulal Supriya Sandip, Shinde Sumit Manik, Prof. V.A.Patil
DOI: 10.17148/IJIREEICE.2024.12412
Abstract: According to International Institute of Refrigeration, air conditioning and refrigeration consumes around 15% of the total worldwide electricity and also contributes to the emission of CFCs, HCFCs, CO2 etc. Due to the use of such refrigerants it leads to much harmful effect to our environment i.e. the global warming. For air conditioning use of fuel also increases and all these are effect on the car efficiency.To overcome the problem of emission and fulfill the mismatch between the demand and supply of energy consumption the thermoelectric Air conditioning can be used. This system is not going to benoisy, a there will be no hazardous emission to the environment so the system is totally ecofriendly. By using this system, we can make revolution in EV’s world by this process we can increaseefficiency of EV Vehicles in Upcoming World or anywhere where the hot surface is there then we can create electricity by using this process.
Abstract
Design and Analysis of Landing gear
Sadaf Paikar Riyaz Ahemad Khan, MD Zikwan Ahmed, Omkar Hari Jadhav
DOI: 10.17148/IJIREEICE.2024.12413
Abstract: The landing gear system is of paramount importance during ground operations and take-off procedures, as it bears the brunt of the aircraft's weight and forces during these critical phases. It is clear that landing gear issues account for a sizable percentage of aircraft structural failures.
The landing gear must be able to endure side loads, compression loads, and drag loads during landing and takeoff. The magnitudes of drag and side loads are relatively smaller, even if compressive loads predominate. Because of this, landing gear is usually considered a one-dimensional construction. Its main purpose is to absorb the energy produced during landing and lessen the force applied to the aircraft's frame.
The oleo pneumatic landing gear strut is frequently the recommended landing gear arrangement for larger aircraft. Its capacity to efficiently absorb and release kinetic energy throughout the landing process is a crucial design requirement in addition to static strength considerations. Next, we use CATIA to build an aircraft's conventional landing gear and Auto Desk Innovator to assess its structural protection.
AUTO DESK INVENTOR tools are used to study landing gear assembly for different metal alloys and composite materials.
Estimation of aircraft landing gear linear stresses and deformation and analysis on main landing gear as well as the nose landing gear of an aircraft by linear static structural analysis are accomplished by importing the model landing gear into the AUTO DESK INVENTOR programme.
AUTO DESK INVENTOR tools are used to study landing gear assembly for different metal alloys and composite materials. Estimation of aircraft landing gear linear stresses and deformation and analysis on main landing gear as well as the nose landing gear of an aircraft by linear static structural analysis are accomplished by importing the model landing gear into the AUTO DESK INVENTOR programme
The landing gear must be able to endure side loads, compression loads, and drag loads during landing and takeoff. The magnitudes of drag and side loads are relatively smaller, even if compressive loads predominate. Because of this, landing gear is usually considered a one-dimensional construction. Its main purpose is to absorb the energy produced during landing and lessen the force applied to the aircraft's frame.
The oleo pneumatic landing gear strut is frequently the recommended landing gear arrangement for larger aircraft. Its capacity to efficiently absorb and release kinetic energy throughout the landing process is a crucial design requirement in addition to static strength considerations. Next, we use CATIA to build an aircraft's conventional landing gear and Auto Desk Innovator to assess its structural protection.
AUTO DESK INVENTOR tools are used to study landing gear assembly for different metal alloys and composite materials.
Estimation of aircraft landing gear linear stresses and deformation and analysis on main landing gear as well as the nose landing gear of an aircraft by linear static structural analysis are accomplished by importing the model landing gear into the AUTO DESK INVENTOR programme.
AUTO DESK INVENTOR tools are used to study landing gear assembly for different metal alloys and composite materials. Estimation of aircraft landing gear linear stresses and deformation and analysis on main landing gear as well as the nose landing gear of an aircraft by linear static structural analysis are accomplished by importing the model landing gear into the AUTO DESK INVENTOR programme
Abstract
Electromagnetic Based Vehicle Conversion Kit
Jishnu T J, Richu Antony, Imthiaz Abdulla, Tom Thaliath, Fr. Mejo Paul CMI
DOI: 10.17148/IJIREEICE.2024.12414
Abstract: IC engines are widely used in vehicles and power generation, but they have several drawbacks. IC engines convert only about 25-30% of the chemical energy in fuel into mechanical energy. The rest of the energy is lost as heat, which can reduce fuel efficiency and increase emissions. IC engines produce a variety of harmful emissions, including carbon monoxide, nitrogen oxides, and particulate matter. These emissions can contribute to air pollution and climate change. IC engines can be noisy and produce vibrations, which can be uncomfortable for passengers and can also damage other components in the vehicle. These drawbacks of IC engines have led to a growing demand for alternative propulsion technologies, such as electric vehicles and hydrogen fuel cell vehicles.
This project aims to develop and build an electromagnetic engine conversion kit that can be used to convert a conventional internal combustion (IC) engine to an electromagnetic engine with minimal replacement parts. Electromagnetic engines use the principles of magnetic repulsion and attraction to generate rotational motion. They offer several advantages over traditional IC engines. Electromagnetic engines are more efficient than IC engines, meaning that they can convert more of the input energy into mechanical energy. This results in better fuel economy and reduced emissions. Electromagnetic engines do not produce any harmful emissions, making them a more environmentally friendly option than IC engines.
The proposed electromagnetic engine conversion kit will be designed to be compatible with a wide range of IC engines. It will consist of a set of copper coils, magnets and a controller. The coils will be mounted on the custom-made engine block and will be used to create a magnetic field. The controller will be used to regulate the current to the coils and to synchronize the magnetic field with the movement of the engine pistons.
The conversion kit is expected to be relatively easy to install and will not require any major modifications to the existing engine. Once installed, the conversion kit will allow the engine to operate in the same way as a traditional IC engine, but with the improved efficiency, cleanliness, and reliability of an electromagnetic engine. This project has the potential to make a significant contribution to the development of more sustainable and environmentally friendly transportation technologies.
Keywords: Electromagnetic, Top dead centre, Bottom dead centre, Magnetism.
This project aims to develop and build an electromagnetic engine conversion kit that can be used to convert a conventional internal combustion (IC) engine to an electromagnetic engine with minimal replacement parts. Electromagnetic engines use the principles of magnetic repulsion and attraction to generate rotational motion. They offer several advantages over traditional IC engines. Electromagnetic engines are more efficient than IC engines, meaning that they can convert more of the input energy into mechanical energy. This results in better fuel economy and reduced emissions. Electromagnetic engines do not produce any harmful emissions, making them a more environmentally friendly option than IC engines.
The proposed electromagnetic engine conversion kit will be designed to be compatible with a wide range of IC engines. It will consist of a set of copper coils, magnets and a controller. The coils will be mounted on the custom-made engine block and will be used to create a magnetic field. The controller will be used to regulate the current to the coils and to synchronize the magnetic field with the movement of the engine pistons.
The conversion kit is expected to be relatively easy to install and will not require any major modifications to the existing engine. Once installed, the conversion kit will allow the engine to operate in the same way as a traditional IC engine, but with the improved efficiency, cleanliness, and reliability of an electromagnetic engine. This project has the potential to make a significant contribution to the development of more sustainable and environmentally friendly transportation technologies.
Keywords: Electromagnetic, Top dead centre, Bottom dead centre, Magnetism.
Abstract
An Intelligent Animal Repelling System For Crop Protection
Abel M Prakash, Harsh R, Milen Roy, Shreya Joseph, Santhi B
DOI: 10.17148/IJIREEICE.2024.12415
Abstract: The fusion of rotating cameras and ultrasonic sound technology in agriculture constitutes a noteworthy leap forward, carrying significant socio-environmental implications. Positioned as a beacon of eco-friendly practices, this innovative system addresses vital challenges in agriculture by not only safeguarding farmers against crop losses but also fostering a symbiotic relationship with wildlife. It stands out from prevalent protection methods, such as wire and electric fences, through its utilization of image processing to identify specific threats. Specialized ultrasonic sound emitting devices are then strategically deployed, offering a targeted and efficient solution. Despite its potential, the implementation faces challenges. High initial costs, potential false alarms, and ethical concerns regarding the impact of ultrasonic sound on animals are considerations that necessitate attention. However, these challenges open avenues for further development and improvement. Looking ahead, the project holds immense promise for the future of agriculture. Integrating more sophisticated sensors, including cameras and infrared sensors, along with advancements in AI and machine learning, could enhance the system’s efficacy over time. Customizing the system to specific crop types, geographical regions, weather conditions, and animal threats could amplify its impact. Achieving energy efficiency and economic viability across different farming scales could have profound global implications. In summary, this innovative system not only tackles pressing agricultural issues but also lays the groundwork for a more sustainable, technology-driven future in farming. It represents a paradigm shift towards responsible and efficient agricultural practices, contributing to both food security and wildlife conservation on a global scale.
Keywords: Object detection, Raspberry Pi 4B, SSD MobileNetV3, Ultrasonic frequency.
Keywords: Object detection, Raspberry Pi 4B, SSD MobileNetV3, Ultrasonic frequency.
Abstract
IOT Based EV Battery Health Monitoring System
Prof.P.P.Belgali, Varun Vinod Kulkarni, Pavan Balaso harale, Rohan Vitthal Jadhav
DOI: 10.17148/IJIREEICE.2024.12416
Abstract: This thesis presents an overview of issues and technologies related to the proper design of charging infrastructures for road electric vehicles. The analysis is carried out taking into account that the recharging stations of electric vehicles might be integrated in smart grids, which interconnect the main grid with distributed power plants, different kinds of renewable energy sources, stationary electrical storage systems and electric loads. The study is introduced by an analysis of the main characteristics concerning different kinds of storage systems to be used for stationary and on-board applications. Then, different charging devices, discharging modes and architectures are presented and described showing their characteristics and potentialities. It is necessary to monitor battery behaviour and accordingly utilise it. Range anxiety is the predominant desolation among the electric vehicles (EV’s) possessors that caused by driver’s ambiguity in relation to vehicle’s energy needed to arrive at targeted place and state of charge (SoC). This project proposes an intelligent control algorithm for real time range estimation, indication of various parameters and generates alerts in the smart phone using Internet of Things (IoT). This algorithm determines the amount of charge present in battery and how much distance can an electric vehicle move with the remaining power available. Intelligent controller also improves the battery performance and lifetime. Thereby the integrated system of range estimator and crash detector will make the electric vehicles smarter. The objective of the project is to promote green power and to improve the smartness of electric vehicles by integrating the range estimator and crash detection units alongside to make use of IoT. This makes the generation of alerts when any abnormalities occur and display the parameters in the virtual dash board.
Keywords: ESP8266, Battery, Voltage sensor, LCD Display, ADC, Diode, Resistor, Capacitor.
Keywords: ESP8266, Battery, Voltage sensor, LCD Display, ADC, Diode, Resistor, Capacitor.
Abstract
Anti Drone System Robot
Prof. Mr.M.M.Kolap, Aaysha Salim Nadaf, Alfaz Najeer Hawaldar, Alisha Fayyaz Sharikmaslat
DOI: 10.17148/IJIREEICE.2024.12417
Abstract: Anti drone system is a system in which we can detect and destroy drones. Anti Drone System is a Technology that helps the military to deal with aerial threats. In today's time, there is a lot of danger from drones. It can be proved that drones cause great harm. This system has been created to protect airports, large public areas, stadiums and military purposes. This device works with Arduino uno, ESP8266 wi-fi module for controlling the drone, in this system there is a radar to detect the drone and there is motion sensor to detect living things such as animal, birds, humans. As an outcome this anti-drone system is developed to protect public spaces from aerial threats.
Keywords: Arduino UNO, ESP8266 wi-fi module, Motor driver, 2000mW Laser, Motion sensor, L293DMotor shield.
Keywords: Arduino UNO, ESP8266 wi-fi module, Motor driver, 2000mW Laser, Motion sensor, L293DMotor shield.
Abstract
COMPARATIVE STUDY OF DIFFERENT TYPES OF MOTORS USED IN ELECTRIC VEHICLE
Amal Raj N, Joel Kuriakose Joy, Ancy C. V, Nandana K Jigosh
DOI: 10.17148/IJIREEICE.2024.12418
Abstract: Electric vehicles (EVs) powered by induction motors represent a significant shift in sustainability in the automotive industry. Induction motors, known for their efficiency and reliability, play an important role in this transformation. This topic explores the key features and benefits of electric vehicles with induction motors. Equipped with an induction engine, the electric car offers environmental solutions by reducing carbon emissions and reducing dependence on fossil fuels. The simplicity of asynchronous motors helps reduce maintenance costs and increase durability, improving the overall economics of electric vehicles. Eliminating the drive in the asynchronous motor in an electric car simplifies the design of the car, making it easier to use, more powerful and more efficient. Additionally, these engines facilitate regeneration, converting kinetic energy back in to electrical energy and increasing overall energy efficiency.
Keywords: Electric vehicle, Induction Motor, Permanent Magnet Synchronous Motor, Rotor Speed, Efficiency.
Keywords: Electric vehicle, Induction Motor, Permanent Magnet Synchronous Motor, Rotor Speed, Efficiency.
Abstract
Automatic Tomato Harvesting System using Image Processing Techniques
Mayuri Bansode, Divyani Bhosale, Pallavi Hanimnale, Rutika Patil, Sejal Patil, Prof. Dr. Vaibhav Baburao Magdum
DOI: 10.17148/IJIREEICE.2024.12419
Abstract: The efficiency of farming is increasingly dependent on precision farming. This is due to significant competition, the emergence of new pests and bacteria that spoil the crop, environmental problems, and many other factors from which products lose their value. One of such factors is the timeliness of harvesting. This is especially true in greenhouse complexes, where harvesting occurs regardless of the season, regularly after the ripening of products. The ripening of tomatoes is quite unpredictable, so it is necessary to identify the ripening process to harvest in time. Machine vision can solve this problem by highlighting a separate spectrum of color, which is characteristic of already-ripe tomatoes. Therefore, the article proposes a method for identifying the processes of tomato ripening using image processing methods based on color detectors. The OpenCV library was used for software implementation. A Rasbberry Pi unicameral computer was used to solve this problem.
Keywords: Harvesting, Image processing, Tomato
Keywords: Harvesting, Image processing, Tomato
Abstract
A Surface Water Trash Collector Based On Object Detection
Abigail Achu Mathew, Aman Moopan M, K R Indulekha, Resmi Saji, Santhi B
DOI: 10.17148/IJIREEICE.2024.12420
Abstract: Water pollution caused by plastics has come into being as a prevalent and alarming environmental problem with detrimental consequences on aqua systems and human well-being. The presence of ubiquitous plastics such as bottles, bags, and other packaging materials in the environment has resulted in plastics pollution of rivers, lakes, and oceans, which is a critical issue that requires immediate action and comprehensive solutions. Discarded plastic bags, bottles, and packaging materials enter water bodies through various routes such as poor disposal, storm water, and poor waste management, among others. Once in water, plastics begin to physically degrade and breakdown into smaller pieces which are commonly known as microplastics. They are microscopic substances mostly not visible to the naked eye, yet they have affected water sources worldwide. Garbage classification has become an increasingly popular topic in recent years. The rivers are used for disposing untreated plastic wastes which are responsible for degrading the amount of dissolved oxygen in water.
The main aim of the project is to introduce a surface water trash collector based on object detection. This system will help in collecting plastic waste from waterbodies. This innovative system will employ cameras and sensors strategically positioned to monitor and detect plastic in real-time. The collected data will be processed and analysed using OpenCV image detection to identify and categorize the plastic accurately. The system also includes conveyor belt that picks up plastic and dumps it in the designated trash bin.
Considering the growing concern for environmental preservation, our project seeks to address this critical issue and provide a cost-effective, and efficient solution for the management of surface water pollution. Our project primarily aims at reducing the manual labour and time consumption involved in cleaning the water bodies. Automating the process of waste collection using deep learning techniques and segregating the wastes will make it easy for the industries to recycle plastic wastes.
Keywords: Raspberry Pi 3, H Bridge circuit, Opencv, Catamaran, COCO
The main aim of the project is to introduce a surface water trash collector based on object detection. This system will help in collecting plastic waste from waterbodies. This innovative system will employ cameras and sensors strategically positioned to monitor and detect plastic in real-time. The collected data will be processed and analysed using OpenCV image detection to identify and categorize the plastic accurately. The system also includes conveyor belt that picks up plastic and dumps it in the designated trash bin.
Considering the growing concern for environmental preservation, our project seeks to address this critical issue and provide a cost-effective, and efficient solution for the management of surface water pollution. Our project primarily aims at reducing the manual labour and time consumption involved in cleaning the water bodies. Automating the process of waste collection using deep learning techniques and segregating the wastes will make it easy for the industries to recycle plastic wastes.
Keywords: Raspberry Pi 3, H Bridge circuit, Opencv, Catamaran, COCO
Abstract
Soft Starter For DC Motor with Speed Control by PWM Method
Utkarsh Goundaje, Ganesh Dhulugade, Abhijeet Sontakke, Prof.S.S.Manjare
DOI: 10.17148/IJIREEICE.2024.12421
Abstract: This report presents the design and development of a soft start system for DC motors, with speed control using pulse width modulation (PWM) technology... Soft starters are crucial in industrial applications where the abrupt start-up of motors can cause mechanical stress, increased maintenance, and decreased equipment lifespan. The proposed system uses advanced PWM technology to ensure smooth and controlled avigation, ensuring a gentle start for the DC motor. The integration of PWM allows for precise speed regulation, enhancing the overall efficiency of the motor operation.
Keywords: Soft Starter, Arduino, Simulation.
Keywords: Soft Starter, Arduino, Simulation.
Abstract
Electric Vehicle’s Battery Management System With Charge Monitor And Fire Protection
Suyash S. Hujare, Ashutosh S. Shintre, Shridhar S. Dabade, Rohini U. Madane, Sanika S. Ghodake, Prof. Dr. R.M.Malkar
DOI: 10.17148/IJIREEICE.2024.12422
Abstract: This paper explores the design and implementation of an Electric Vehicle Battery Management System (EV- BMS) with Charge Monitoring and Fire Protection. Developed for Li-ion battery packs in electric vehicles, the system ensures continuous monitoring and protection. Utilizing hardware components such as Li-ion batteries, monitoring systems, microcontrollers, LCD displays and sensors, the EV-BMS facilitates safe charging and proactively prevents accidents. Integrated fire protection utilizes advanced sensors and algorithms to detect and mitigate fire hazards. Through microcontrollers and user-friendly interfaces, the project offers a comprehensive solution, contributing to the safety and efficiency of electric vehicles.
Keywords: EV, BMS, Arduino, Safety.
Keywords: EV, BMS, Arduino, Safety.
Abstract
SOLAR POWERED AUTOMATED MULTI-TASKING AGRICULTURAL ROBOT
Sheetal Patted, Kavyashree K, Kirthi Bharadwaj D V, Sowjanya R
DOI: 10.17148/IJIREEICE.2024.12423
Abstract: Solar-powered automated multitasking agriculture robots are an innovative solution to improve agricultural efficiency while reducing the need for human labor. In India nearly about 70 percentages of people are depending on agriculture. Numerous operations are performed in the agricultural field like seed sowing, water spraying and pesticide spraying etc. The present methods of seed sowing, water spraying and pesticide spraying are difficult. The equipment's used for above actions are expensive and inconvenient to handle. So the agricultural system in India should be encouraged by developing a system which will reduce the man power and time. In conclusion, solar-powered automated multitasking agriculture robots are a cost-effective and sustainable solution for farmers, providing them with a way to improve their productivity and reduce their environmental footprint.
Keywords: Agriculture, Robot, Seed Sowing, Water Sprinkling, Pesticide Spraying.
Keywords: Agriculture, Robot, Seed Sowing, Water Sprinkling, Pesticide Spraying.
Abstract
INTELLIGENT SITTING POSTURE CLASSIFIER SMART CHAIR
Chandra Sekhar S, Apoorva R, Harshitha B.B, Mythri Gowda J
DOI: 10.17148/IJIREEICE.2024.12424
Abstract: In recent years, there has been growing interest in postural monitoring while seated. Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting especially in wrong postures, may result in health complications. Our aim is to provide rapid entire body assessment for computer operators, this review is convenience for assessment of jobs in various professions like construction health care jobs, workshop etc. Negative effects of bad posture on the body are depression, stress poor breathing, nerve damages etc. Experts estimates that up to 80% of the population will experience back pain at some time in their lives. Computer is operated by user for a longer time so sitting posture should be taken care by the operator if not it may lead to harmful effect for the body such as neck pain, pain in the spinal cord, various disorders relating to change in eye pressure and also may occur vision related problem caused by continuous use of computer for longer duration and also work stress will cause incardiovascular diseases. The computer operator can protect themselves from the health issues by implementing good body posture by the use of sensors and communication devices we can continuously monitor the computer operator for the betterment of sitting posture of human body.
Keywords: Posture, Smart Chair, Health monitoring.
Keywords: Posture, Smart Chair, Health monitoring.
Abstract
BRAINWAVE CONTROLLED MINIATURE WHEELCHAIR USING BCI TECHNOLOGY
Theodore Jesudas Dandin, Navyashree S, Suchithra M, Yashu K
DOI: 10.17148/IJIREEICE.2024.12425
Abstract: Brain-Computer Interface (BCI) serves as the pathway of communication between the brain and any other external entity. It’s an emerging field and has its applications in various industries including bio-medicines. EEG-based Brain-Computer Interfaces (BCIs) can lead individuals with significant health challenges to improve their independence, facilitate participation in activities, thus enhancing overall well-being and preventing impairments. The Electroencephalographs (EEG) or brainwaves are captured and analyzed using Mind-wave mobile headset to yield Attention, Meditation and Eye Blink Strength.
Keywords: Brain-Computer Interface (BCI), EEG, Bio-medicine, Health challenges, prevent impairments, Electroencephalographs, Mind wave Headset, Eye blink strength.
Keywords: Brain-Computer Interface (BCI), EEG, Bio-medicine, Health challenges, prevent impairments, Electroencephalographs, Mind wave Headset, Eye blink strength.
Abstract
Smart APFC Employing Fuzzy Logic Controller
Govind Nandakumar, Maria Theresa Sabu, Samuel Stephen, Athul Krishna A S, Hans John Dcruz
DOI: 10.17148/IJIREEICE.2024.12426
Abstract: The power consumption in industrial settings should be minimized not to incur heavy penalties for excessive use. One of the ways to do this is using an Automatic Power Factor Correction (APFC) unit containing a fuzzy control system. Low power factor and increased power consumption are problems for industrial companies, as utility providers often levy penalties on them. Such penalties are generally assessed to reward consumers into developing a stable and economical pattern of electricity consumption. An APFC unit can be implanted to effectively raise the power factor and thereby reduce total power consumption. It is an electronic device which automatically can adjust the reactive power within an electrical system to a predetermined level of power factor. It also monitors the real-time power factor and make necessary modifications to maintain a system at its optimum operating level. Fuzzy control is a design method for systems based on principles of fuzzy logic. Working with imprecise or uncertain input data and shaking off numbness in a dynamic environment are possible.
The APFC unit can meter out reactive power through fuzzy control techniques in response to changing loads, voltage variations and all the other general operating conditions. The addition of fuzzy control to the APFC unit allows that device to adaptively compensate for real-time conditions. This leads to more effective management of power factor and helps avoid penalties for poor power usage profiles. A combination of an APFC unit and fuzzy control has great advantages for reducing penalties on industrial power consumption. The APFC unit keeps the power factor within acceptable limits, thus reducing penalties paid on account of poor power factor. With the use of fuzzy control, the APFC can compensate for reactive power in response to real-time conditions and energy is used more efficiently this way. With the usage of SD card module, the data can be effectively stored and can further use the data for future technological advancements.
Keywords: APFC, Fuzzy Logic Controller, Power Factor Correction, Industrial Penalties, PZEM 004-T
The APFC unit can meter out reactive power through fuzzy control techniques in response to changing loads, voltage variations and all the other general operating conditions. The addition of fuzzy control to the APFC unit allows that device to adaptively compensate for real-time conditions. This leads to more effective management of power factor and helps avoid penalties for poor power usage profiles. A combination of an APFC unit and fuzzy control has great advantages for reducing penalties on industrial power consumption. The APFC unit keeps the power factor within acceptable limits, thus reducing penalties paid on account of poor power factor. With the use of fuzzy control, the APFC can compensate for reactive power in response to real-time conditions and energy is used more efficiently this way. With the usage of SD card module, the data can be effectively stored and can further use the data for future technological advancements.
Keywords: APFC, Fuzzy Logic Controller, Power Factor Correction, Industrial Penalties, PZEM 004-T
Abstract
Electric Kick Scooter For Campus Drive
Amith S, Harry Tomy, Sana Saju, Caroline Ann Sam
DOI: 10.17148/IJIREEICE.2024.12427
Abstract: Today, an important part of the continuously developing electric vehicle technology is light electric vehicles. Electric kick scooters are one of the most basic types of light electric vehicles and their usage areas are increasing day by day. Especially for personal use and shared transportation systems. Electric kick scooters have an important place. The existing kick scooter has two wheels, a platform called a deck, and handlebars for steering. They differ from the non motorized kick scooters of the 90s due to the addition of a battery, electronics, larger (often air-filled) tires, and an electric motor.This system's benefits include inexpensive cost, superior battery backup, source compatibility, and high motor power. Its inability to move steep terrain and impossibility of long-distance travel are its limits. Government attention is now focused on electric vehicles due to growing concerns about climate change and rising pollution. E-scooters are less expensive in terms of operational expenses.The cost of one kilometer is over 0.20 rupees. Kick scooters can also be folded up and stored in a bag, which solves the issue of bike theft.
Poorer battery backup, poorer tire traction for riding on wet surfaces, an inflexible handle, a relatively high price, and weight are the drawbacks of the current method. The kick scooter's folding design, ease of carrying, and carbon neutrality make it a socially feasible product. Bidirectional charging, and an adjustable handle are the features of kick scooter's proposed system.
Poorer battery backup, poorer tire traction for riding on wet surfaces, an inflexible handle, a relatively high price, and weight are the drawbacks of the current method. The kick scooter's folding design, ease of carrying, and carbon neutrality make it a socially feasible product. Bidirectional charging, and an adjustable handle are the features of kick scooter's proposed system.
Abstract
ADVANCED ELECTRIC BIKE WITH INTEGRATED SAFETY AND MONITORING SYSTEM
Usha H.N, Balaji S, Sumukha R
DOI: 10.17148/IJIREEICE.2024.12428
Abstract: In the realm of electric vehicle (EV) technology, safety and user experience are paramount considerations. This paper presents a comprehensive overview of an electric vehicle system that emphasizes safety and battery protection through advanced sensor integration and proactive control mechanisms. The system features a groundbreaking helmet detection sensor, a 16-cell battery pack monitored by voltage and current sensors, and an over-temperature sensor to regulate battery thermal conditions. An Arduino Mega serves as the central control unit, orchestrating safety protocols and user interface interactions. Proactive measures, including a cooling system and motor speed control, prioritize safety and battery health. Real-time information display and user notifications enhance rider engagement and accident prevention. This electric vehicle system exemplifies the integration of technology and safety, paving the way for a safer and more sustainable future in personal mobility.
Keywords: Electric vehicle (EV), helmet detection sensor, battery pack, Arduino Mega, over-temperature sensor, safety protocols, proactive measures, real-time information display, user notifications, personal mobility, sustainability.
Keywords: Electric vehicle (EV), helmet detection sensor, battery pack, Arduino Mega, over-temperature sensor, safety protocols, proactive measures, real-time information display, user notifications, personal mobility, sustainability.
Abstract
SMART READER GLASS FOR VISUALLY CHALLENGED
Purva Kamat Mhamai, Abhishek N, Mohammed Faizal, Rohith N
DOI: 10.17148/IJIREEICE.2024.12429
Abstract: This paper introduces a novel assistive device tailored for individuals with visual impairments. The device features real-time text-to-voice conversion, enabling access to printed materials through OCR and TTS technology. Additionally, it incorporates advanced functionalities such as face recognition, object detection, typed text-to-voice conversion, and fall detection. Through innovative hardware and embedded system frameworks, including Raspberry Pi and Raspberry Pi camera, our device offers a comprehensive solution to enhance independence and accessibility for individuals with visual impairments.
Keywords: OCR-Optical Character Recognition , gTTS-Google Text-to-Speech, YOLO-You Only Look Once, EAST- Efficient and Accurate Scene Text Detection, Open CV-Open Source Computer Vision Library, WHO-World Health Organization.
Keywords: OCR-Optical Character Recognition , gTTS-Google Text-to-Speech, YOLO-You Only Look Once, EAST- Efficient and Accurate Scene Text Detection, Open CV-Open Source Computer Vision Library, WHO-World Health Organization.
Abstract
Enhancing Railway Resilience: Real-time Monitoring and Early Warning Systems
Anusha Karve, Atharva Garud, Mrs. A. A. Kokate
DOI: 10.17148/IJIREEICE.2024.12430
Abstract: This research paper presents a comprehensive approach to enhancing railway safety by deploying integrated sensor systems. By leveraging advanced technologies such as heavy rainfall sensors, fog detection sensors, landslide detection sensors, and crack detection mechanisms, our project demonstrates a proactive strategy for mitigating potential hazards and fortifying the resilience of railway networks. Real-time monitoring of precipitation levels and visibility during adverse weather conditions enables timely responses and informed decision-making by railway operators. Additionally, early warning capabilities provided by landslide detection sensors contribute to the prevention of catastrophic incidents, ensuring uninterrupted railway operations. Furthermore, crack detection mechanisms enhance track maintenance practices, minimizing the risk of track failures and derailments. Relay modules serve as the backbone of our integrated sensor network, facilitating seamless communication and efficient coordination of safety protocols. Overall, our project underscores the importance of integrated sensor systems in safeguarding railway operations and advancing railway safety standards, promising a safer and more reliable transportation network for all stakeholders involved.
Keywords: Railway Tracking, PIC Microcontroller, Sensors.
Keywords: Railway Tracking, PIC Microcontroller, Sensors.
Abstract
3D SCANNER USING RASPBERRY PI
Dr.T.B.Mohite Patil, Rutik Gurav, Swapnil Banchode, Ajinkya Kathar, Aniket Bulbule, Tejas Mohite
DOI: 10.17148/IJIREEICE.2024.12431
Abstract: The 3D Scanner product harnesses the capabilities of Raspberry Pi and state-of-the-art technology to fulfill the increasing demand for precise 3D scanning of tangible items. Through the integration of components such as Raspberry Pi, Pi Camera V2, stepper motors, LCD display, and LED lights, the system orchestrates a seamless scanning process. Its primary objective is to accurately capture physical objects, transforming them into versatile 3D digital models. Users are provided with real-time visual feedback via an LCD display and LED lights, ensuring an engaging and interactive experience. This product aims to bridge the physical and digital realms, offering a tool for transforming, replicating, and exploring real-world objects in the digital domain. By doing so, it unlocks a myriad of possibilities for applications in 3D printing, design, and immersive experiences, positioning itself as a promising endeavor at the nexus of technology and creativity.Top of Form
Keywords: Raspberry Pi, 3D scanning, point cloud, computer vision, image processing, 3D reconstruction, Low-cost 3D scanning.
Keywords: Raspberry Pi, 3D scanning, point cloud, computer vision, image processing, 3D reconstruction, Low-cost 3D scanning.
Abstract
A REVIEW ON SMART GRID – A FUTURE ENERGY MANAGEMENT SYSTEM
Prof. Shubhangi Shivaji Manjare, Prof. Prachi Arihant Chougule, Prof. Supriya Arun Wadekar
DOI: 10.17148/IJIREEICE.2024.12432
Abstract: The primary focus of this paper revolves around the examination of the smart grid, heralded as a pivotal future tool for managing all energy resources. These intelligent grids intertwine with cutting-edge technology to furnish sustainable electrical supply over the long haul while enhancing energy productivity. Notably, smart energy meters assume a crucial role within the smart grid framework, juxtaposed with their conventional counterparts. In addition to delving into energy management systems within the smart grid, this paper sheds light on both the constraints and advantages associated with this innovative infrastructure, ultimately proposing viable solutions.
Abstract
A Review of IoT Applications, Attacks and Its Recent Defence Methods
Prof. Prachi Arihant Chougule, Prof. Supriya Arun Wadekar, Prof. Shubhangi Shivaji Manjare
DOI: 10.17148/IJIREEICE.2024.12433
Abstract: In today's world, technology has seamlessly integrated into our daily lives. Particularly, the Internet of Things (IoT) has emerged as a convergence of diverse technologies across various application domains. The versatility of IoT applications spans across different environments. Consequently, safeguarding the security of IoT has emerged as a paramount concern. Recent observations highlight the susceptibility of IoT to sophisticated attacks, rendering services inaccessible to legitimate users. This study delves into IoT applications, focusing on IoT security, encompassing prevalent attack vectors and proposed solutions. Despite numerous solutions being offered, many come with inherent limitations and constraints. Identifying the most effective and dependable protective measures against sophisticated IoT threats remains a challenge. This review paper zeroes in on common and efficient strategies for fortifying the IoT ecosystem against cyber threats, encompassing both conventional and contemporary approaches. Furthermore, it outlines a framework and potential avenues for developing enhanced Distributed Denial of Service (DDoS) defence solutions.
Abstract
A review Wireless charging strategies for Electric Vehicle
Mrs. Supriya Arun Wadekar, Shubhangi Shivaji Majare, Prachi Arihant Chougule
DOI: 10.17148/IJIREEICE.2024.12434
Abstract: This paper introduces an updated method for battery charging via renewable energy grids, utilizing solar panels and wind turbines. A voltage regulator maintains a constant output voltage, while a Buck-Boost converter transforms LVDC to HVDC. A rectifier circuit rectifies harmonics produced at the wind turbine output. Stored power is available for various electrical components through a continuous output mechanism at the battery side. The project also presents wireless EV charging, focusing on resonant technology for efficient, cost-effective power transmission through resonance coupling. Solar and wind energy serve as the primary energy sources. Buck-Boost converters, voltage regulators, and C smoothing are employed for efficient operation. Transmitter coils coupled with batteries facilitate wireless power transfer. The abstract addresses challenges in EV charging within office environments, including manual cable connections, limited options, safety concerns, and the absence of dynamic charging capabilities. It proposes an innovative WPT system for office parking areas, integrating renewable energy resources and IoT technology. The system automatically initiates charging upon EV parking, with real-time monitoring through the Blynk application. IoT and RFID technologies provide dynamic updates on charging slot availability and implement strict security protocols. A case study demonstrates the system's efficacy in office settings, achieving a 95.9% IRR, lower NPC of USD 1.52 million, 56.7% power contribution by RERs, and significant reduction in annual carbon emissions to 173,956 kg CO2. (1) (2)
Abstract
Design of EV for Goods Carrying Application
Pravin Magdum
DOI: 10.17148/IJIREEICE.2024.12435
Abstract: The rising demand for sustainable transportation solutions has spurred a notable upsurge in Electric Vehicle (EV) development. This paper delves into the design considerations and challenges specific to crafting an EV tailored for goods-carrying applications.The design process encompasses several facets, ranging from selecting suitable battery technology and motor specifications to refining chassis design and energy management systems. Achieving optimal space utilization and weight distribution is paramount for designing an electric vehicle for goods transportation, all while ensuring sufficient payload capacity and range. Moreover, factors like charging infrastructure, operational necessities, and regulatory compliance are integral considerations in the design phase. Incorporating advanced technologies such as regenerative braking and telematics can significantly enhance the vehicle's performance, efficiency, and safety. The paper emphasizes the significance of a comprehensive design approach that not only prioritizes performance but also considers the vehicle's environmental footprint and economic feasibility. By addressing these aspects, the design of Electric Vehicles for goods-carrying applications can play a pivotal role in advancing sustainable and efficient transportation systems.
Abstract
Productivity improvement of white coal industry by implementing TPM
Samreen Parveen Abdul Sattar, Sakshi D. Ahire, Sahil L. Kamble, Aditya V. Kamdi
DOI: 10.17148/IJIREEICE.2024.12436
Abstract: Total Productive Maintenance (TPM) is a broad approach which employ across various industries to maximize productivity and efficiency by minimizing equipment downtime, reducing defects and optimizing maintenance process. Its fundamental aim is to increase the overall equipment effectiveness (OEE) by involving all employees in maintenance process. Ultimately TPM look for maximizing production rates on the other hand simultaneously decreasing waste and production costs.
The result of implementing the total productive maintenance program is remarkable, it leads to substantial improvement in operational performance and overall output. TPM is becoming a top-grade strategy globally because it helps industries to keep their equipment, machineries running smoothly and boost productivity, making them more competitive in their industries.
Keywords: TPM, implementation, productivity improvement, OEE
The result of implementing the total productive maintenance program is remarkable, it leads to substantial improvement in operational performance and overall output. TPM is becoming a top-grade strategy globally because it helps industries to keep their equipment, machineries running smoothly and boost productivity, making them more competitive in their industries.
Keywords: TPM, implementation, productivity improvement, OEE
Abstract
Literature review of white coal production
Samreen Parveen Abdul Sattar, Sakshi D. Ahire, Sahil L. Kamble, Aditya V. Kamdi
DOI: 10.17148/IJIREEICE.2024.12437
Abstract: NOW a day, most of thermal power plant uses the natural coal as power sources the but it is limited in nature. Due to mining of this coal pollution is increases and pollution is the biggest issues in the current situation. to overcome this problem, it is required to replace conventional coal with the white coal or bio-coal.
The white coal briquettes are the process of converting agricultural waste such as sugar cane bagasse, cotton hulks and stalks, wheat straws and so on into white coal briquettes which can be used as the fuel in many industries. This review explores how it's made, its qualities, and where it's used. Different methods like pyrolysis and briquetting are used to produce it. White coal burns efficiently, emits less pollution, and has diverse applications in power plants, factories, and households for cooking the result of using white coal is more satisfactory, economical and environmentally friendly.
Keywords: white coal briquettes, Biomass, agricultural waste, production process.
The white coal briquettes are the process of converting agricultural waste such as sugar cane bagasse, cotton hulks and stalks, wheat straws and so on into white coal briquettes which can be used as the fuel in many industries. This review explores how it's made, its qualities, and where it's used. Different methods like pyrolysis and briquetting are used to produce it. White coal burns efficiently, emits less pollution, and has diverse applications in power plants, factories, and households for cooking the result of using white coal is more satisfactory, economical and environmentally friendly.
Keywords: white coal briquettes, Biomass, agricultural waste, production process.
Abstract
Recent Development in Solar-Powered Grass Trimmer and Lawn Care Technology
Bhargav Shivbhakta, Aryan Humnabadkar, Mrs. A. A. Kokate
DOI: 10.17148/IJIREEICE.2024.12438
Abstract: The growing demand for sustainable solutions in lawn care maintenance has spurred significant interest in solar-powered technology. This review paper offers a comprehensive analysis of recent developments in solar-powered electric lawn grass cutters, drawing insights from a diverse range of research studies. Through an exploration of methodologies, outcomes, and challenges, it provides valuable insights into the current landscape of solar-powered lawn care technology. Examining nineteen research papers, the review encompasses various approaches, from Bluetooth-controlled systems to Arduino and Raspberry Pi-based solutions. These studies showcase innovative design strategies and successful field tests, demonstrating the potential of solar-powered technology to enhance efficiency and reduce manual labor in lawn care operations. Despite promising outcomes, challenges such as power management, navigation, and cost-effectiveness remain significant hurdles. Addressing these challenges through collaborative efforts and innovative solutions will be crucial in unlocking the full potential of solar-powered lawn care technology, paving the way for a more sustainable and eco-friendly approach to lawn maintenance. The review encompasses a detailed examination of nineteen research papers, each offering unique perspectives and approaches to address the complexities of lawn care maintenance. From Bluetooth-controlled systems to Arduino and Raspberry Pi-based solutions, the papers explore a wide array of technologies and methodologies aimed at enhancing efficiency, reducing manual labor, and promoting sustainability in lawn care operations. Key outcomes from the reviewed papers highlight successful field tests, innovative design approaches, and promising results in terms of operational efficiency and user satisfaction. However, the review also identifies significant challenges, including power management, navigation, cost- effectiveness, and regulatory compliance, that need to be addressed to unlock the full potential of solar-powered lawn care systems.
Keywords: Solar-powered, Electric lawn grass cutter, Sustainable technology, Lawn care maintenance, Bluetooth control, Cost-effectiveness
Keywords: Solar-powered, Electric lawn grass cutter, Sustainable technology, Lawn care maintenance, Bluetooth control, Cost-effectiveness
Abstract
Discrimination between inrush current and fault current by using wavelet transform
Gauri murkar, Janvi rajput, Sakshi awchar, Shreya dipke, Jatin ghage, Yash gajbhiye
DOI: 10.17148/IJIREEICE.2024.12439
Abstract: Reliable discrimination between inrush currents and internal fault currents is crucial for effective protection of transformers in power systems. Traditional methods based on harmonic content analysis often struggle due to limitations in capturing both time and frequency domain characteristics of the current signals. This paper proposes a novel approach for inrush current and fault current discrimination in transformers using wavelet transform (WT).
Wavelet transform offers a significant advantage over conventional techniques due to its ability to analyse signals simultaneously in the time and frequency domains. This allows for the extraction of features that effectively differentiate between the transient nature of inrush currents and the sustained nature of fault currents.
The proposed method involves decomposing the transformer current signal using DWT (Discrete Wavelet Transform) and extracting relevant features from the decomposed coefficients. These features can then be used to design a decision rule or train a classifier to accurately discriminate between inrush and fault events.
Keywords: Internal Fault Current, Magnetizing Inrush current, Standard Deviation, Variance, Teager Energy Operator,Signal decomposition,Power transformer.
Wavelet transform offers a significant advantage over conventional techniques due to its ability to analyse signals simultaneously in the time and frequency domains. This allows for the extraction of features that effectively differentiate between the transient nature of inrush currents and the sustained nature of fault currents.
The proposed method involves decomposing the transformer current signal using DWT (Discrete Wavelet Transform) and extracting relevant features from the decomposed coefficients. These features can then be used to design a decision rule or train a classifier to accurately discriminate between inrush and fault events.
Keywords: Internal Fault Current, Magnetizing Inrush current, Standard Deviation, Variance, Teager Energy Operator,Signal decomposition,Power transformer.
Abstract
Advancement in Electric Drives
Lovely Gaur, Rajitha T. B., Kavita Sawant, Srilakshmi Inampudi
DOI: 10.17148/IJIREEICE.2024.12440
Abstract: In today's dynamic auto industry, original equipment manufacturers (OEMs) are driving innovation and progress. Traditionally, they have designed, developed, and produced various components of internal combustion engine (ICE) vehicles. As the world shifts towards software-defined vehicles, however, their role is evolving to include building and deploying elements within the automotive operating system (OS) for a seamless user experience.
Keywords: OEM, drives, motors, electric vehicles.
Keywords: OEM, drives, motors, electric vehicles.
Abstract
DESIGN AND DEVELOPMENT OF THREE – PHASE TRANSFORMER
Dr. Anagha R. Soman, Atharva R. Deshmukh, Aditya D. Kulkarni, Anushka N.Kulkarni, Purva S.Nagdeote
DOI: 10.17148/IJIREEICE.2024.12441
Abstract: Three-phase Transformers are the backbone of electrical power distribution this research paper presents a comprehensive analysis of key insights gleaned in centered on the construction and design of 3-phase transformers within industrial electrical systems and equipment. It delves into various facets including the intricacies of 3-phase transformer design, component identification and testing, and the significance of material analysis in transformer manufacturing. By amalgamating theoretical understanding with practical applications, the report paper aims to furnish readers with a thorough comprehension of vital concepts and methodologies crucial for proficient management and enhancement of industrial electrical infrastructures.