International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control EngineeringA monthly Peer-reviewed & Refereed journal
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
Integrating Solar PV, Wind Energy and Wireless Charging for Electric Vehicles on Roads
Ummemisbah Bhisti, Pramod Patil, Kunal Chougale, Nirmal Patil, Rahul Kale
DOI: 10.17148/IJIREEICE.2023.11701
Abstract: Electric vehicles (EVs) are becoming increasingly popular due to their potential to reduce carbon emissions and improve air quality. The use of EVs can significantly reduce carbon emissions from the transportation sector, which is one of the largest sources of greenhouse gas emissions globally. As renewable energy sources such as solar and wind become more prevalent, the carbon footprint of EVs will continue to decrease. Electric vehicles (EVs) are expected to have a significant impact on the load of the conventional electric grid. To mitigate the potential impact of EV charging on the grid, various strategies are being implemented. One such strategy is the described in this paper. The main objective of research is to make use of renewable energy sources like solar and wind energy in combination with wireless technology which can help to reduce the carbon footprint of EVs and reduce the strain on the conventional electric grid. This will help to dramatically shorten EV charging periods and extend their range, making them more suitable for long-distance travel. The paper states the practical model and its calculation and simulations at the end.
Keywords: Electric Vehicle, Solar Energy, Wireless Charging Grid, CO2 Emissions, Power.
Robust Digital Watermarking for Colour Images Using GBT & SVD
Dr. Manjunatha V, Mr. Sai Prabhu K.B
DOI: 10.17148/IJIREEICE.2023.11702
Abstract: Copyright infringement poses a significant challenge in the creative industry, particularly with the exponential growth of digital content. Digital watermarking is a promising technique to mitigate this problem. Its primary objective is to embed an imperceptible digital watermark into digital content, such as images or videos, to protect against unauthorized use or reproduction. This paper presents a novel hybrid approach for digital watermarking that addresses the limitations of existing methods, namely the Discrete-Haar Wavelet Transform (DHWT) and Least Significant Bit (LSB) steganography. The proposed approach integrates Graph Based Transform (GBT) and Singular Value Decomposition (SVD) for data watermarking, while incorporating a scrambling operation to enhance the security of the watermark. Compared to DHWT, the proposed approach has lower computational cost and reduced distortion near image or video edges. In contrast to LSB, it utilizes transform domain techniques resulting in a more robust aftermath. The experimental results demonstrate the effectiveness of the proposed approach, indicating its potential as a viable solution for digital watermarking.
Keywords: DHWT, digital watermarking, LSB, SVD, GBT, scrambling
Crop Yield Prediction using Hybrid ANN-CNN Algorithm
Mr. Sai Prabhu K.B., Mrs. Varsha Cheatansingh Parihar
DOI: 10.17148/IJIREEICE.2023.11703
Abstract: Crop management is very important function to improve the quality of the crop. Nowadays drones are playing a vital role in crop management function of agriculture like crop monitoring, scanning of fields and so on.
Abstract: Solar energy is a crucial and significant renewable energy source, showcasing its utility in various applications such as street lights, basement parking, home lighting, and remote areas. This paper aims to present a solar energy harvesting system that efficiently converts sunlight into electricity to power 20W LED bulb. The primary objective of this project is to design a system capable of absorbing and storing the maximum amount of solar energy available, converting it into alternating current (AC) to illuminate areas with lower lighting requirements. This system offers the advantage of eliminating the need for conventional electricity, resulting in cost-free energy and minimal maintenance once installed.
Keywords: PCB designing, Solar Panels, Charge controller, Booster, Inverter, Transformers.
A Review on Sudden Unintended Acceleration in 2-Wheelers
Leston Pinto, Sayyed Afnan, K Athul Bhat, Shivaramu H T*, Yuvaraj K B
DOI: 10.17148/IJIREEICE.2023.11705
Abstract: This review paper addresses the pressing concern of accidents caused by sudden acceleration resulting from child interactions with scooter accelerators. Limited reported statistics indicate the severity of such incidents, necessitating proactive measures to ensure the safety of riders and passengers. The paper presents a comprehensive analysis of existing literature, discusses proposed solutions, and highlights the need for further research in this area. The review explores the design and implementation of safety measures, emphasizing the importance of a balanced approach that considers both rider comfort and child-rider protection. The findings underscore the significance of addressing this safety concern and provide valuable insights for the automotive industry.
Abstract: Lithium, a highly reactive metal, is widely used in rechargeable batteries for electric vehicles and portable electronics due to its high energy density. Extraction of lithium involves various technologies depending on the source. For lithium brine deposits, the most common method is evaporation, where brine is pumped into large evaporation ponds, allowing water to evaporate, and leaving behind lithium-rich salts. Hard rock lithium deposits are extracted through open-pit or underground mining, followed by crushing and flotation processes to obtain lithium concentrate. Additionally, innovative techniques such as direct lithium extraction from geothermal brines and lithium recovery from seawater are being explored to meet the growing demand for this critical resource.
DESIGN AND FABRICATION OF PADDY CLEANING MACHINE REVIEW PAPER
Shreyas Tandel, Adithya B Shetty, Neelakantha V Londe, Shankar Shenoy
DOI: 10.17148/IJIREEICE.2023.11707
Abstract: This project aims to design and develop a motorised paddy cleaning machine that effectively separates paddy dust and other impurities from grains. The traditional methods of grain cleaning are labour-intensive, time-consuming, and inefficient, posing significant challenges for farmers. The proposed paddy cleaning machine incorporates a sturdy wooden frame, a mesh sieve, and wheels for mobility. It utilises a motor to drive the sieve, facilitating the separation of debris such as sticks, leaves, stones, and dust from the harvested and dried grains. Additionally, fans are integrated into the system to blow away lightweight particles like husks and dust, enhancing the overall cleaning process.The key advantage of this machine lies in its versatility, as it is designed to handle grains of different varieties. By adapting to various grain sizes and characteristics, it enables farmers to utilise the machine across multiple crop types, promoting its widespread applicability and usability.By streamlining the grain cleaning process, the motorised paddy cleaning machine not only saves considerable time and effort for farmers but also improves the quality of the harvested grains. By utilising readily available materials such as wood, mesh, and standard components, the project aims to offer a practical and affordable solution that can be easily adopted by agricultural communities. Overall, this project endeavours to empower farmers by providing an efficient, versatile, and cost-effective solution to the challenges associated with grain cleaning. The motorised paddy cleaning machine has the potential to significantly enhance the agricultural sector's productivity, improve grain quality, and contribute to the economic welfare of the country.
Keywords: DC motor , Hooper, Sieves, Reciprocating motion.
A Review on Auto- Mechanized Scarecrow for Agricultural Purpose
Manish C Salian, Prasanna H Poojary, Vicheth V Suvarna
DOI: 10.17148/IJIREEICE.2023.11708
Abstract: Automatic Scarecrow Technology is an easy and reliable way to control major avian crop harmers like birds & animals. This Scarecrow decreases crop damage by dispersing birds in a safe and human way.The main aim of the project was to design and construct a bird repellent prototype that is dynamic and play sounds of distress to disperse off the birds. Two wireless communicating devices being controlled by an Amega328P microcontroller were developed with the help of RF modules consisting of sound producing system, rotating system and a motion sensor which were used as inputs to the microcontrollers when motion is detected, and the servo motors and the buzzer are activated. When the system design was powered the servo motors rotated, and a sound of distress was produced after motion detection. In conclusion, the technology of this modern scarecrow has many applications which include reducing financial loss due to crop damage caused by birds, reliable, human and safe agricultural bird dispersal, and the chosen bird control system for farming industry.
Keyword: Flapping mechanism, Linear Motion, Buzzer. Bird Repellent.
Automatic wheel Alignment Detector with Alarm System
Sharun Mohan P, Abhinav Das
DOI: 10.17148/IJIREEICE.2023.11709
Abstract: This review paper provides a comprehensive analysis of automatic wheel alignment detectors, emphasizing their principles, advancements, and applications. It discusses the limitations of traditional methods and the need for automated systems. The paper categorizes detectors based on technologies used (optical, laser, and sensor-based) and examines their working principles, advantages, and limitations. Additionally, it explores the integration of AI and machine learning in automatic wheel alignment detectors. The paper highlights the benefits ofthese detectors, including reduced manual labor and improved accuracy, while also addressingchallenges like cost and compatibility. Overall, it serves as a valuable resource for researchers and practitioners in the field
Blind Man Stick Using Programmable Interrupt Controller (PIC)
K V Abhishek, Khalid Abdulla
DOI: 10.17148/IJIREEICE.2023.11710
Abstract: It is well known that people suffering from visual impairments face many difficulties in travelling independently. Due to this, they rely on some form of external aids, which include a variety of tools and techniques like a stick. Such tools are called Electronic Travel Aids (ETA). Sometimes even with the use of this stick, the safety of the blind person is not guaranteed. The stick may not always detect all the obstacles in the path.
The objective of this project is to build a blind man stick that can detect obstacles, potholes and thus help the blind person travel independently. The system is constructed using ultrasonic sensors, a vibrator, buzzer and a power supply. The software used in this system includes Embedded ‘C’, Pickit 2 Programmer, MPLAB.
Review on “Design and Development of an Agricultural Spray Nozzle with Adjustable Flow and Rotating Mechanism”
Bhaskar A Harikant, Gnanesh B S, Swaroop G*, Mohan Kumar
DOI: 10.17148/IJIREEICE.2023.11711
Abstract: This comprehensive review paper presents an in-depth analysis of adjustable flow and rotating agricultural spray nozzles, focusing on their potential to enhance spray efficiency in agricultural applications. By reviewing ten selected journal papers, this study provides valuable insights into the design considerations, performance evaluation, and benefits of these innovative spray nozzle designs. The findings underscore the significance of adjustable flow control and rotating spray motions in achieving precise liquid application, optimizing resource utilization, and maximizing crop coverage.
Review on Design and Development of an Automated System for climbing and spraying pesticides on areca nut trees
Chirag Devadiga, Sarthak Salian, Shashikumar C S, Mr. Swaroop
DOI: 10.17148/IJIREEICE.2023.11712
Abstract: Areca nut is one of the major commercial crops grown in southern parts of India. During the rainy season the areca nut crop gets attacked by disease due to fungi. This makes half the growth in areca nut crop to decompose and fall. The major reason in this sector is the lack of skilled labour and safety issues for spraying pesticides and harvesting.
To avoid direct contact of humans with pesticide while spraying the pesticides on a tree to tackle the problem of unavailability areca nut tree climbers are developed. The machine consists of a base frame. At the bottom of the machine there are two conical rollers that are connected to the motor drivers. These motor drivers are worked by a remote control to make the machine move up and down the tree and enough clearance is been maintained between the two wheels. The device has been tested for its performance and to make it safe, reliable, efficient and also reduces the problem in climbing and spraying areca nut tree to a good extent.
Keywords: Areca nut harvesting, tree climbing and spraying.
JANANI SURAKSHA: PAVING THE WAY OF SAFER PREGNANCY
Rakshith S, N Rajeshwari
DOI: 10.17148/IJIREEICE.2023.11713
Abstract: Pregnancy is a critical phase in a woman's life that demands increased medical attention and care due to its vulnerability. Throughout this period, various irregularities might occur, and if not detected or treated promptly, they can result in severe consequences. These irregularities, known as "pregnancy complications," encompass a range of health issues arising from physiological changes during gestation, posing risks to the mother's well-being during pregnancy, delivery, and the postpartum period. This study aims to predict current health issues experienced by pregnant women using two distinct classification algorithms: the C4.5 decision tree and the Naive Bayes Classification Algorithm. Widely used in data mining for classification and prediction tasks, these algorithms analyze data from pregnant women at different stages of pregnancy to anticipate their present health status and related complications. The research strives to determine the superior algorithm for forecasting pregnant women's health conditions and associated complications. Applying these classification techniques to pregnancy data enables the assessment of health risks, potentially reducing maternal and fetal mortality rates
THE SCALABILITY REVOLUTION: BLOCKCHAINS’S IMPACT ON THE FINANCIAL INDUSTRY
Shashank C, Sandarsh Gowda M
DOI: 10.17148/IJIREEICE.2023.11714
Abstract: Blockchain is a virtual ledger of all transactions and contracts that must be independently documented. It is a database with encryption that maintains information statistics. One of the main advantages of Blockchain lies in the fact that this virtual record is dispersed across a number of vast computer networks and isn't necessarily guaranteed to be kept in a single location. The blockchain network has already started to disrupt the financial services industry, and it is this technology that powers bitcoin transactions. The study's objective is to determine how blockchain technology will affect the financial industry. Without a doubt, people throughout the world are interested in seeing how this innovative technology will affect or alter banking in the future. Blockchain offers a decentralized, transparent network infrastructure, improves data storage and transmission security, and drastically lowers operational expenses. Even in a regulated area like the banking sector, blockchain is a highly potential and much-demand solution due to these exceptional qualities.
Keywords: "blockchain applications," "blockchain benefits," "blockchain features," and "blockchain security".
Assistant Professor, Master of Computer Applications, Bangalore Institute of Technology, Bangalore, Karnataka, India
C M Asritha, Suma N R
DOI: 10.17148/IJIREEICE.2023.11715
Abstract: To reduce hazards associated with severe storms, that include landslides and drowning, it's challenging to provide an exact precipitation forecast at each specific place. Initial estimates of the intensity of rainfall at these locations are often obtained using huge arrays of sensors called rain gauges (RGs). These observations are typically extrapolated by calculating a rain field throughout the full implementing spatial interpolation, a zone of significance. These approaches are physically costly, though, and more data must be integrated in order to enhance the forecast of the relevant variable at unfamiliar sites. To reduce hazards associated with severe storms, such as landslides and drowning, it is difficult to provide an exact rainfall estimate at each specific place. Initial estimates of the intensity of rainfall at these locations are often obtained using huge arrays of sensors called rain gauges (RGs). These observations are typically extrapolated by calculating a rain field throughout the full implementing spatial interpolation, a zone of significance. These approaches are physically costly, though, and more data must be merged to improve the forecast of the important variable at unknown locations.
Keywords: Rain Gauges, Spatial Interpolation, Random Forest, Support Vector Machine, Random Graph
MACHINE LEARNING FOR FAST ANALYSIS AND VALID SOURCE POINT ESTIMATION IN EARLY WARNING OF EARTH QUAKES
Lakshmi N, Suma N R
DOI: 10.17148/IJIREEICE.2023.11716
Abstract: EARTHQUAKE hypocenter localization is essential in the field of seismology and plays a critical role in a variety of seismological applications such as tomography, source characterization, and hazard assessment. This underscores the importance of developing robust earth quake monitoring systems for accurately determining the event origin times and hypocenter locations. In addition, the rapid and reliable characterization of ongoing earthquakes is a crucial, yet challenging, task for developing seismic hazard mitigation tools like earthquake early warning (EEW) systems. While classical methods have been widely adopted to design EEW systems, challenges remain to pinpoint hypo center locations in real-time largely due to limited information in the early stage of earthquakes. Among various key aspects of EEW, timeliness is a crucial consideration and additional efforts are required to further improve thehypo center location estimates with minimum data from the first few seconds after the P-wave arrival and the first few seismograph stations that are triggered by the ground shaking.
Keywords: Earth quake early(EEW), Random Forest(RF), seismic hazard mitigation.
PREDICTING PARKING BEHAVIOR OVER TIME WITH PERIODIC WEATHER-AWARE LSTM AND EVENT MECHANISM
Meghana N, Prof B M Bhavya
DOI: 10.17148/IJIREEICE.2023.11717
Abstract: Since there are so many variables to take into account, like the weather, the time of day, the day of the week, and nearby events, it can be challenging to predict parking behaviour. Conventional approaches to predicting parking behaviour have limitations since they don't take into consideration the periodic nature of the data or the impact of events and the weather. In this paper, we suggest an LSTM (Long Short-Term Memory) for forecasting parking behaviour that includes an event mechanism and periodic weather awareness. To accurately capture the periodicity and event dependencies in parking data, the recommended solution combines LSTM and event approaches. To increase the prediction's accuracy, weather data is also added.
Keywords: In this paper, we suggest an LSTM for forecasting parking behaviour that includes an event mechanism and periodic weather awareness.
Implementation of novel P&O method for MPPT using Arduino
Sunil Kumar S, Arrshith R G
DOI: 10.17148/IJIREEICE.2023.11719
Abstract: This research paper focuses on the implementation of the Perturb and Observe algorithm on a Maximum Power Point Tracking (MPPT) controller for solar energy generation. The energy output of solar cells is highly variable and heavily influenced by weather conditions. The proposed MPPT system utilises a micro-controller to regulate a DC-DC power stage and facilitate battery charging. By employing a voltage or current perturbation technique and comparing the power generated by the solar panel output, the system dynamically adjusts to achieve optimal power extraction. The Perturb and Observe algorithm is chosen due to its effectiveness and relatively low complexity. The objective of this study is to design and construct a 100W MPPT system using an open-source Arduino micro-controller board. Through the utilisation of MPPT techniques, it is anticipated that the system will achieve enhanced power conversion efficiency. This research aims to contribute to the advancement of MPPT technology and its application in solar energy systems.
Abstract: This paper addresses triangular current modulation technique (TCM) to reduce circulating current and losses in the dual active bridge converter (DAB). The converter is designed through small signal analysis. Stability is the challenging issue in DAB, due to the nonlinear behavior of the converter. The stability is convinced by the PI controller with a variation of switching inductance. Triangular current modulation is a type of alternate phase shift scheme in which the reduction of circulating current takes place with the help of maintaining the triangular waveform in the primary winding of the transformer. In buck mode, the system response is always stable, but in the case of the boost mode of the converter, the system will be unstable due to nonlinearity. The system can make sure to be stable with the help of the PI controller under the variation of switching inductors.
Keywords: Small signal analysis (SSA), TRM (Triangular current modulation) Dual active bridge converter (DAB)