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VOLUME 12, ISSUE 2, FEBRUARY 2024
Assessment of 11kV Distribution Network for Power Loss Minimization using Analytical Technique for Capacitor Sizing
Ekeriance Dominic Evanson, Wokoma Biobele Alexander
Review Paper on Digital Parking System
Mr. Rajendra Ghorpade, Ashish Yadhav, Siddhesh Patil, Harshwardhan Tambe, Pratham Jadhav
Image Inpainting Using Deep Learning
Savali Magar, Aishwarya Waykule, Dr. B.H. Patil
IOT Based Railway Track Fault Detection System
Mr. Shahaji Sutar, Monika Dudhal, Ankita Kamble, Sahil Arbune, Sahil Gaikar
Solar Powered Mobile Charging Unit
Mr. Suryasevak Singh, Jay Avhad, Ritvik Thakur, Amritpal Singh Dham, Kirti Parve
Torque to Track: The Evolution of Electric Traction And Its Future
Kavita Sawant, Srilakshmi Inampudi, Rajitha T. B, Lovely Gaur, Abdussami Shaikh
AUTOMOBILE FUNCTIONALITIES CONTROLLED BY MYOGRAPHIC MOVEMENTS
JAYAKUMAR K B, MOHAMMED DHAMEEM S, MOHAMMED ANAS M, Dr. RAMKUMAR M
Verification of AMBA-APB Protocol using UVM
Santoshi A. Pharate, Madhusudan P. Kadam, Akash D. Sawant, Rajveer K. Shastri, Ajit Gangad
PREDICTIVE MAINTENANCE OF INDUSTRIAL MACHINE USING EDGE AI
Akash T.Koli,Deepali V.Nangare,Akanksha I.Shitole, Mahesh R.Mule,Rajveer K.Shastri
VEHICLE LICENSE PLATE RECOGNITION SYSTEM
Rahul Bankar, Pruthviraj Chavan, Sagar kamble, Mr.R.S. Piske
Vehicle Detection & Accident Alert System
Chaitanya P. Gore, Pooja S. Ithape, Prasad B. Farande, Madan M. Jadhav
River Cleaning Machine
Prof. M. U. Phutane, Pooja Ravindra Patil, Harshada Pradeep Magdum, Aishwarya Deepak jagdale
Plant Disease Detection Using Machine Learning
Gauri Bhosale, Atharva Atpadkar, Rutwik Kakade, Mr. V. U. Deshmukh
Testing and Troubleshooting of Transformers
Srilakshmi Inampudi, Rajitha T.B, Kavita Sawant, Lovely Gaur
VOICE-GUIDED WHEEL CHAIR CONTROL FOR INDIVIDUALS WITH IMPAIRMENTS
DEVI D, NESHIKA J, POOJAA S, POORNIMA R
Ultimate Floor Cleaning Robot
Dr.Prof.T.H.Mohite, Shahin Babasab Shikalgar, Nikita Dilip Lipare, Sayali Vijay Kolhapure
“Customized Amenity Management Access Control And Space Optimization”
Prof. T. H. Mohite, Shruti Annasaheb Chivate, Harshvardhan Prakash Patil, Sanika Anil Patil
BUILDING A COMPLETE AI/ML AUTOMATION PIPELINE ON-PREM USING GITOPS AND SELF-HOSTED GITHUB RUNNERS
Kiran Kumar Yakkali
Abstract
Assessment of 11kV Distribution Network for Power Loss Minimization using Analytical Technique for Capacitor Sizing
Ekeriance Dominic Evanson, Wokoma Biobele Alexander
DOI: 10.17148/IJIREEICE.2024.12201
Abstract: The need to carry out a comprehensive assessment of 11KV distribution network for power loss has become inevitable. Unstable power supply from the grid could be as a result of instability and power losses in the transmission and distribution systems, which is unhealthy to the consumer’s power system operators, as well as power system equipment and operations. This work was done by carrying out load flow studies of the standing 11kV distribution network using embedded algorithm of Newton Raphson Method in ETAP Software; the losses were determined and minimized by the integration of capacitor banks (300kVar) in the critically overloaded buses and load flow was performed again. The results obtained indicates that three (3) out of the eighteen (18) distribution transformers were critically overloaded. The net real and reactive power losses are 57.92kW and 86.9kVar respectively. When reactive power was injected through capacitor banks into the system, the result shows that all the transformers and buses are better loaded, and the new net real and reactive power losses reduced to 46.18kW and 69.27kVar respectively. There is a 20% reduction in power loss and all the bus voltages fall within ±5% of nominal voltage as declared by IEEE.
Keywords: Active power, Reactive power, Power loss, Capacitor bank, Distribution network, ETAP Software
Keywords: Active power, Reactive power, Power loss, Capacitor bank, Distribution network, ETAP Software
Abstract
Review Paper on Digital Parking System
Mr. Rajendra Ghorpade, Ashish Yadhav, Siddhesh Patil, Harshwardhan Tambe, Pratham Jadhav
DOI: 10.17148/IJIREEICE.2024.12202
Abstract: The project entitled “THE DIGITAL PARKING SYSTEM” presents an IOT based smart parking system which provides an optimal solution for the parking problem in metropolitan cities. Due to rapid increase in vehicle density especially during the peak hours of the day it is difficult task for the users to find the parking space to park their vehicles. This study proposes a smart parking system based on Arduino components and mobile application. The proposed smart parking system consists of an onsite deployment of an slot module that is used to monitor and signalize the state of availability of each single parking space. A mobile application is also provided that allows an end user to check the availability of parking space and book a parking slot accordingly. Smart parking can increase the economy by reducing fuel consumption and pollution in urban cities.
Keywords: Digital parking system, Ultrasonic sensors, Parking lot Reservation
Keywords: Digital parking system, Ultrasonic sensors, Parking lot Reservation
Abstract
Image Inpainting Using Deep Learning
Savali Magar, Aishwarya Waykule, Dr. B.H. Patil
DOI: 10.17148/IJIREEICE.2024.12203
Abstract: Image inpainting, a critical task in computer vision, involves the art of replenishing missing or damaged regions within images. It’s a process that hinges on the capabilities of deep learning, primarily through the utilization of Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). The fundamental steps in implementing image inpainting encompass data collection and pre-processing, which entails assembling a dataset of images featuring gaps alongside their intact counterparts. The neural network architecture plays a pivotal role, with choices ranging from GANs to Auto-encoders, tailored to the specific task at hand. The models are trained by minimizing various loss functions, each contributing to specific training objectives. Inpainting algorithms must handle variable hole sizes and exhibit contextual understanding, ensuring generated content seamlessly blends with the surrounding context. Post-processing techniques can refine the generated inpaintings and evaluations are performed using quantitative metrics and qualitative assessments. Overall, deep learning-based image inpainting continues to advance, with practical applications in image restoration, object removal, and beyond.
Keywords: I Image inpainting, computer vision, Deep learning, Convolutional Neural Network, Generative Adversarial Network, dataset, Auto-encoders, image restoration, object removal.
Keywords: I Image inpainting, computer vision, Deep learning, Convolutional Neural Network, Generative Adversarial Network, dataset, Auto-encoders, image restoration, object removal.
Abstract
IOT Based Railway Track Fault Detection System
Mr. Shahaji Sutar, Monika Dudhal, Ankita Kamble, Sahil Arbune, Sahil Gaikar
DOI: 10.17148/IJIREEICE.2024.12204
Abstract: This abstract introduces an innovative Internet of Things (IoT)-based Railway Track Fault Detection System (RTFDS) focused on enhancing railway safety and efficiency. Leveraging a network of sensors, including acoustic and ultrasonic devices, the system continuously monitors crucial parameters along railway tracks. Real-time data analysis, powered by advanced algorithms and machine learning, enables early detection of anomalies signaling potential track faults. With seamless connectivity facilitated by IoT technologies, the RTFDS promotes a proactive approach to fault detection, contributing to improved safety, reliability, and operational efficiency in the railway industry. This system addresses the needs of operators, maintenance teams, and regulatory authorities, aligning with the modernization goals of railway infrastructure.
Keywords: Microcontroller, Sensors, IOT, Circuitry
Keywords: Microcontroller, Sensors, IOT, Circuitry
Abstract
Solar Powered Mobile Charging Unit
Mr. Suryasevak Singh, Jay Avhad, Ritvik Thakur, Amritpal Singh Dham, Kirti Parve
DOI: 10.17148/IJIREEICE.2024.12205
Abstract: Mobile and other smart devices keep on running all the time anywhere and everywhere, draining its battery. Recharging mobiles need certain time and suitable place. Sudden shutdown of mobile phones due to lack of charge, creates huge embargo for people who is in rush to workplace, market, school, college, office, train and bus station and so on. It would be great if we could facilitate these people with instant smart device charging opportunity through renewable energy harvesting, which they can avail whenever they need, on the go. Several researches have been done so far to fulfill this issue of providing itinerant charging facility to smart devices. Among those developments, some are portable while others are stable large charging stations but the common feature among those is that power generation of these systems are fully or partially based on one or more renewable resources of energy for example solar, wind, hand crank generator driven by physical movement etc. Most of these are for public use but some can be intended for commercial purpose too. This article reviews the types/ varieties of renewable sources that have been used for development of portable or stationary mobile charging stations, along with the features the system comprises.
Keywords: Renewable energy; Charging station; Portable power supply; Solar canopy mobile charging station.
Keywords: Renewable energy; Charging station; Portable power supply; Solar canopy mobile charging station.
Abstract
Torque to Track: The Evolution of Electric Traction And Its Future
Kavita Sawant, Srilakshmi Inampudi, Rajitha T. B, Lovely Gaur, Abdussami Shaikh
DOI: 10.17148/IJIREEICE.2024.12206
Abstract: Over the years, India has witnessed a remarkable evolution in electric traction technology, paving the way for significant progress across various sectors. The country has embraced sustainable solutions to fuel its growth and development, evident in the electrified railway systems and advancements in electric vehicles. Electric traction fulfills the requirements of being the cheapest, fastest, most sustainable, and efficient mode of transportation, serving as an alternative to conventional fossil fuel-based propulsion. This article delves into India's transformative journey with electric traction technology, highlighting key milestones, innovations, and its impact on transportation, infrastructure, environmental sustainability, and future trends. Additionally, it explores emerging technologies such as magnetic levitation (maglev), shedding light on how India is driving progress through the evolution of electric traction.
Keywords: Electric Traction technology, Key milestones, Innovations, Magnetic levitation, Direct Current (D.C) traction system, Alternating Current (A.C) traction system, Composite system, Third Rail system, Regenerative braking, Management levitation (Maglev) technology, Electromagnetic Suspension (EMS), Electrodynamics Suspension (EDS), Hyperloop, Traction in electric vehicles (EVs), Battery efficiency, AI-driven traction control systems, In-wheel motors
Keywords: Electric Traction technology, Key milestones, Innovations, Magnetic levitation, Direct Current (D.C) traction system, Alternating Current (A.C) traction system, Composite system, Third Rail system, Regenerative braking, Management levitation (Maglev) technology, Electromagnetic Suspension (EMS), Electrodynamics Suspension (EDS), Hyperloop, Traction in electric vehicles (EVs), Battery efficiency, AI-driven traction control systems, In-wheel motors
Abstract
AUTOMOBILE FUNCTIONALITIES CONTROLLED BY MYOGRAPHIC MOVEMENTS
JAYAKUMAR K B, MOHAMMED DHAMEEM S, MOHAMMED ANAS M, Dr. RAMKUMAR M
DOI: 10.17148/IJIREEICE.2024.12207
Abstract: The arm is frequently injured due to the variety of tasks and uses it is subjected to. Arm pain is something that everyone has encountered at some point in their lives. It could happen gradually or all of a sudden. It has an effect on our day, making it difficult for us to engage in activities like exercise, everyday tasks, and recreation. Every person has a different pain point, a different type of pain, and a different explanation for their suffering. Given the complexity of the causes of pain, everyday exercise is necessary. For older individuals in particular, an automobile is designed and tested to determine the highest threshold value and compare it to the threshold set before the onset of disease, discomfort, or injury. This aids in identifying the issue through the creation of a personalized physiotherapy strategy for arm pain and offers long-term relief that is effective for you.
Keywords: Sarcopenia, muscle movement, arm pain, microcontroller
Keywords: Sarcopenia, muscle movement, arm pain, microcontroller
Abstract
A Review Paper on Face Recognition Based Attendance Management System
Afifa Siddiqui
DOI: 10.17148/IJIREEICE.2024.12208
Abstract: Face recognition systems are essential in practically every industry in our digital age. One biometric that is frequently utilized is face recognition. It has numerous more benefits in addition to being useful for security, identity, and authentication. Due to its non- invasive and contactless nature, fingerprint and iris recognition systems are still commonly employed despite their lower accuracy. Additionally, facial recognition systems can be utilized in companies, institutions, and schools to indicate attendance. With the help of this system, a class attendance system that makes use of the idea of facial recognition in place of the labor-intensive and time- consuming manual attendance system currently in use. Also, there might be opportunities for proxy attendance. As a result, this mechanism becomes more necessary. The development of the database, face detection, face recognition, and attendance updating are the four stages of this system. Images of students in class are used to develop databases. The Haar-Cascade classifier and the Local Binary Pattern Histogram technique are used, respectively, for face detection and recognition. Faces are identified and detected from the classroom's live streaming footage. At the conclusion of the session, attendance will be mailed to the appropriate faculty member.
This abstract introduces a Face Recognition-based Attendance Management System tailored for educational institutions. The system employs facial recognition technology to automate attendance tracking in schools or colleges. By analyzing facial features, it accurately identifies students, reducing the need for manual attendance marking. This technology adapts to various environmental conditions, ensuring reliable performance. The system enhances overall efficiency, minimizes errors, and provides a secure and convenient solution for managing attendance in educational settings. Its user-friendly interface facilitates easy integration into the existing educational infrastructure, offering a modern and reliable alternative to traditional attendance methods.
This abstract introduces a Face Recognition-based Attendance Management System tailored for educational institutions. The system employs facial recognition technology to automate attendance tracking in schools or colleges. By analyzing facial features, it accurately identifies students, reducing the need for manual attendance marking. This technology adapts to various environmental conditions, ensuring reliable performance. The system enhances overall efficiency, minimizes errors, and provides a secure and convenient solution for managing attendance in educational settings. Its user-friendly interface facilitates easy integration into the existing educational infrastructure, offering a modern and reliable alternative to traditional attendance methods.
Abstract
Verification of AMBA-APB Protocol using UVM
Santoshi A. Pharate, Madhusudan P. Kadam, Akash D. Sawant, Rajveer K. Shastri, Ajit Gangad
DOI: 10.17148/IJIREEICE.2024.12209
Abstract: Through the use of the Universal Verification Methodology (UVM), the project ”Verification of AMBA-APB Protocol using UVM” seeks to guarantee the stability and dependability of the Advanced Microcontroller Bus Architecture - Advanced Peripheral Bus (AMBA-APB) protocol. The goal of this project is to create a thorough verification environment that makes use of UVM to thoroughly verify that complex digital systems that adhere to the AMBA-APB protocol are compliant. The project aims to improve verification efficiency, encourage reusability, and enable comprehensive protocol compliance testing through the utilization of UVM. As a result of this research, more dependable and interoperable digital systems will be developed, which is important for the development and application of contemporary electronic gadgets.
Keywords: AMBA, VLSI, VIP, SoC, APB, UVM, Design Verification.
Keywords: AMBA, VLSI, VIP, SoC, APB, UVM, Design Verification.
Abstract
PREDICTIVE MAINTENANCE OF INDUSTRIAL MACHINE USING EDGE AI
Akash T.Koli,Deepali V.Nangare,Akanksha I.Shitole, Mahesh R.Mule,Rajveer K.Shastri
DOI: 10.17148/IJIREEICE.2024.12210
Abstract: Through the use of edge AI, this abstract explores the world of predictive maintenance for industrial devices. In order to predict future equipment faults, the method combines the seamless integration of sensor-generated data, preprocessing methods, and localised AI models. This methodology enables enterprises to proactively manage maintenance needs, minimising unplanned downtime and optimising resource allocation. It does this by leveraging real- time data analytics at the edge.Sensor raw data is systematically collected, and to get actionable insights, the data is put through noise reduction and feature extraction pre processing phases. These understandings serve as the cornerstone for AI models that have been painstakingly trained on past data to identify patterns suggestive of upcoming failures. This predictive capacity makes it easier to create real-time alerts that inform maintenance teams of potential problems before they happen.
Abstract
VEHICLE LICENSE PLATE RECOGNITION SYSTEM
Rahul Bankar, Pruthviraj Chavan, Sagar kamble, Mr.R.S. Piske
DOI: 10.17148/IJIREEICE.2024.12211
Abstract: A number plate recognition system is a security mechanism. The number plate identification system makes use of the concept of image processing. The vehicle number plate image is also read using an OCR (Optical Character Recognition) approach. Numerous applications exist for number plate recognition systems. Toll road authorities, for instance, use these systems to allow cars to enter toll roads by automatically identifying the license plates of the vehicles, providing them with a pay slip, and then opening the road for that particular vehicle.
The parking authority also uses this technology to give cars authorization to park in their area. Using this method, we first capture an image of the license plate, process it, and then check that every character is read accurately. acknowledgement. The most crucial step is OCR, which transforms the text on the license plate image into letters that can be decoded later. This research article presents the entire network flow and methodology for VLPR along with a few of its useful applications. The exactness (outcome) of the VLPR system, which is based on template matching, was determined to be between 75 and 85 percent for Indian number plates.
Keywords: Vehicle license plate recognition, Recognition System, Image processing, Pattern recognition, Machine learning
The parking authority also uses this technology to give cars authorization to park in their area. Using this method, we first capture an image of the license plate, process it, and then check that every character is read accurately. acknowledgement. The most crucial step is OCR, which transforms the text on the license plate image into letters that can be decoded later. This research article presents the entire network flow and methodology for VLPR along with a few of its useful applications. The exactness (outcome) of the VLPR system, which is based on template matching, was determined to be between 75 and 85 percent for Indian number plates.
Keywords: Vehicle license plate recognition, Recognition System, Image processing, Pattern recognition, Machine learning
Abstract
Vehicle Detection & Accident Alert System
Chaitanya P. Gore, Pooja S. Ithape, Prasad B. Farande, Madan M. Jadhav
DOI: 10.17148/IJIREEICE.2024.12212
Abstract: In the present day, the rate of accidents can be increased rapidly. Due to employment the usage of vehicles like cars, bikes can be increased, because of this reason the accidents can be happened due to over speed. because of this reason, Not only the demand for performance and quality of automobiles increases rapidly but there is also demand for an anti-accident system for vehicles.
The main cause of accidents is a highspeed, drink and drive, diverting minds, over stress, and due to electronic gadgets. This project deals with accident detection that occurs due to the carelessness of the person who is driving the vehicle. This introduces accident detection and notification system which helps the person who is driving the vehicleGPS and GSM based accident identification and information system are focusing on accident happened during traveling especially to save the life of many people by reporting to hospitals and owners of the system.
Keywords: Accident, Accident Detection, communication, GPS, GSM
The main cause of accidents is a highspeed, drink and drive, diverting minds, over stress, and due to electronic gadgets. This project deals with accident detection that occurs due to the carelessness of the person who is driving the vehicle. This introduces accident detection and notification system which helps the person who is driving the vehicleGPS and GSM based accident identification and information system are focusing on accident happened during traveling especially to save the life of many people by reporting to hospitals and owners of the system.
Keywords: Accident, Accident Detection, communication, GPS, GSM
Abstract
River Cleaning Machine
Prof. M. U. Phutane, Pooja Ravindra Patil, Harshada Pradeep Magdum, Aishwarya Deepak jagdale
DOI: 10.17148/IJIREEICE.2024.12213
Abstract: In this paper the aim of this machine is to lift waste debris from the water surface and dispose of it within the tray. The cleanliness and hygiene of water is important since it is a basic need for all living beings. Various traditional methods are used to clean the water which is polluted due to waste from industry, sewage waste, garbage waste etc. This problem should be considered as serious and technology should be implemented to reduce this severe problem. IOT technology which has the ability to track and control the entire process is utilized as part of the integrated system. The watercraft was developed in response to the need for cleaning contaminants in the rivers territory and to meet the requirement of working in locations other than the seaward zone, providing more options for the use of cleaning trash and waste from the aquatic environment.
Keywords: Arduino Uno, motor, Driver IC, Wheels, Remote control etc.
Keywords: Arduino Uno, motor, Driver IC, Wheels, Remote control etc.
Abstract
Plant Disease Detection Using Machine Learning
Gauri Bhosale, Atharva Atpadkar, Rutwik Kakade, Mr. V. U. Deshmukh
DOI: 10.17148/IJIREEICE.2024.12214
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
Testing and Troubleshooting of Transformers
Srilakshmi Inampudi, Rajitha T.B, Kavita Sawant, Lovely Gaur
DOI: 10.17148/IJIREEICE.2024.12215
Abstract: Transformer is an important component in electric power system. The function of the transformer is to adjust the current and voltage values so that it can be used according to usage needs. In the operation of electric power distribution, the transformer is the heart of transmission and distribution. The transformer is expected to operate optimally, so that the continuity and quality of electrical energy can be maintained. The main objective of testing the transformer is to know the quality of the machine, quality of materials used for manufacturing the machine and also to check its behavior and performance as per the design data. In this paper, various techniques are used to test transformer such as Voltage Ratio test, Winding Resistance test, Polarity and Phasing out test, etc. are presented and the troubleshooting of transformers is also covered briefly.
Keywords: Voltage Ratio test, Winding Resistance test, Polarity and Phasing out test, Insulation Resistance test, Short-Circuit Test, Magnetizing Current test.
Keywords: Voltage Ratio test, Winding Resistance test, Polarity and Phasing out test, Insulation Resistance test, Short-Circuit Test, Magnetizing Current test.
Abstract
VOICE-GUIDED WHEEL CHAIR CONTROL FOR INDIVIDUALS WITH IMPAIRMENTS
DEVI D, NESHIKA J, POOJAA S, POORNIMA R
DOI: 10.17148/IJIREEICE.2024.12216
Abstract: One cutting-edge assistive technology designed specifically for people with physical limitations is the voice guided wheelchair. It works by processing voice commands sent by a mobile device with Bluetooth capability, which is handled by an Arduino BT Voice Operate module. This module converts the spoken commands into strings that can be used to move the wheelchair. It then relays this information to a Bluetooth Module SR-04 that is connected to an Arduino board. User-friendly commands like "Proceed," "Reverse," "Turn Left," "Turn Right," and "Halt" enable wheelchair users to move in a variety of directions with ease. With the use of this voice interface, wheelchair users with physical limitations can now be more independent and accessible than ever before. In addition, the wheelchair has an ultrasonic sensor to identify possible obstructions in front of it, allowing for safe travel and collision avoidance. The system enhances users' mobility independence and spatial awareness by incorporating this feature. The "Voice-guided Wheelchair" is essentially a revolutionary solution that empowers people with physical limitations by offering a low-cost, efficient, and user-focused mobility device that promotes autonomy and improves their quality of life.
Keywords: Voice Activation, Bluetooth, Direction, Movements.
Keywords: Voice Activation, Bluetooth, Direction, Movements.
Abstract
Ultimate Floor Cleaning Robot
Dr.Prof.T.H.Mohite, Shahin Babasab Shikalgar, Nikita Dilip Lipare, Sayali Vijay Kolhapure
DOI: 10.17148/IJIREEICE.2024.12217
Abstract: Smart dust is collector as its name represent it works smartly or we can say that it is an automatic dust collector. The complete ground cleansing robotics is split into numerous parts, particularly together with an arduino Uno microcontroller, servo, and Dc motor with ultrasonic sensor, motor. This device works with the arduino Uno microcontroller strategies the ultrasonic sensor as a distance detector and a DC motor as a robotic driver, then the dc motor is pushed through the motor shield. As a result, a most efficient and cleaning system is developed to attain perfect cleaning rather than statisfactory cleaning achieved by a preexisting.
Keywords: Arduinouno controller, Ultrasonic sensor, Bluetooth module , Wheels, Battery, LCD display ,Motor Driver
Keywords: Arduinouno controller, Ultrasonic sensor, Bluetooth module , Wheels, Battery, LCD display ,Motor Driver
Abstract
“Customized Amenity Management Access Control And Space Optimization”
Prof. T. H. Mohite, Shruti Annasaheb Chivate, Harshvardhan Prakash Patil, Sanika Anil Patil
DOI: 10.17148/IJIREEICE.2024.12218
Abstract: In this paper the aim of this project is to save electricity. As we know the electricity electricity plays very important role in our daily life. Electricity is as important as food and water to people in the 21st century. However, with the growing human population and the need of electricity in our lives. As we see in the various places like school and colleges there is huge amount of electricity is wastage. Sometimes in the classroom there is light, fans, projector etc equipment’s are turned on continuously and students are also forget or ignored to switch off these equipment’s. This problem should be considered as serious and technology should be implemented to reduce the electricity. IOT technology which has the ability to track and control the entire process. In this project the light is automatically turned off when no one is in the classroom. So from this technique more electricity is saved.
Keywords: Arduino Uno, LCD Display , IR Sensor , RFID Card etc.
Keywords: Arduino Uno, LCD Display , IR Sensor , RFID Card etc.
Abstract
BUILDING A COMPLETE AI/ML AUTOMATION PIPELINE ON-PREM USING GITOPS AND SELF-HOSTED GITHUB RUNNERS
Kiran Kumar Yakkali
DOI: 10.17148/IJIREEICE.2024.12219
Abstract: With the mounting pressure on organizations to modernize their infrastructure, particularly in regulated and mission-critical settings, there exists a rising demand of on-premises AI/ML automation pipelines that can provide enterprise-level security, compliance and control. This paper presents an overall engineering solution to create a fully automated AI/ML pipeline on-prem and using GitOps principles and self-hosted runners of GitHub Actions. The suggested pipeline combines infrastructure-as-code, container orchestration, and continuous integration/continuous delivery (CI/CD) pipelines to allow fast and repeatable models and supporting system deployment, and auditing it. The architecture enables data sovereignty, low latency and regulatory constraints by using self-hosted runners that operate on private infrastructure, which is important to sectors in which the national interest in infrastructure modernization may exist. The article describes the choice of tools chains, security enhancement, deployment methods, monitoring and governance habits. Use-case scenarios reveal the ways in which the pipeline contributes to the controlled environments and show how my work as the automation lead accelerated the creation of the secure AI ecosystems. The results show that on-prem pipelines constructed using GitOps and self-hosted runners have the potential to satisfy enterprise demands of repeatability, traceability, and resilience and decrease reliance on public cloud services.
Keywords: AI/ML pipeline, on-premises infrastructure, GitOps, GitHub Actions, self-hosted runners, CI/CD automation, infrastructure modernization, regulated environment, data sovereignty, secure AI ecosystems.
Keywords: AI/ML pipeline, on-premises infrastructure, GitOps, GitHub Actions, self-hosted runners, CI/CD automation, infrastructure modernization, regulated environment, data sovereignty, secure AI ecosystems.