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VOLUME 12, ISSUE 5, MAY 2024
Energy Audit Case Study Of Tobacco Factory
Aditya Kalanke, Prajwal Pise, Rupali Ingle, Shripad Gawande, Om Shelke
RESEARCH ON DESIGN AND FABRICATION OF DC OPERATED CARRY BAG COLLECTOR
Mangesh S. Kale, Sumeet P. Shinde, Yash V. Gaikwad, Amay A. Bhavik
“REVIEW ON DESIGN AND FABRICATION OF DC OPERATED CARRY BAG COLLECTOR”
Mangesh S. Kale, Sumeet P. Shinde, Yash V. Gaikwad, Amay A. Bhavik
A Research Paper on Raspberry Pi Face Id:Smart Facial Recognition
Prof. P.G. Kaushik, Afifa Siddiqui, Jagravi Wasekar, Prerna Sharma, Krish Sangani, Vaishnavi Kokode
Underground Cable Fault Distance Detection System
Shreyash V Ghuge, Om G Bayaskar, Harshal G Sawale
AI Based Chatbot for Appliance Control
Vaishnavi Kapre, Sanskruti Fasate, Afifa Sheikh, Samiksha Chawade, Prof. U. W. Kaware
ELDER’S CARE ROBOT
Dr. M. V. Bhanuse, Shivraj Ghorpade, Shreyas Thorat, Tejas Shirke, Ritesh Narule
AIR POLLUTION CONTROL OF FISH MEAL & OIL INDUSTRY USING BIO-FILTERS
Vishnu, Preetham Naik M, Jayaprakash M C, Vineetha Telma D’Souza
IOT Based Digital Water Meter
S. R. Khot, Sejal Patil, Tohid Pakhali, Vedant Yadav, Prajakta Hogade, Harshada Bachate
Study of Power Transmission from Offshore Wind Farms using 18-Pulse Diode Rectifiers
Shaikh Maroof Shaikh Maqsood
Efficient Power Transmission from Offshore Wind Farms using 18-Pulse Diode Rectifiers
Shaikh Maroof Shaikh Maqsood
Study And New Approach Electric Vehicle Charger Design With The Help Of Buck And Boost Converter
NAYAN S. BIJWE
ELECTRIC VEHICLE FOR DIFFERENTLY ABLED PERSON
Sumedh Kotekar, Vinayak Hupare, Satyajeet Katkar, Rohit Powar
RFID Based Passport Verification
Prof.P.S.Pise, Akansha Baber, Najifa Sayyad, Raj Tatugade,Nikita Sawant, Siddhi Patki
Automatic Leaf Disease Detection And Spraying Robot
Prof. Dr S. D. Bhopale, Pratik Yadav, Shivaraj Kumbhar, Shriprasad Kadam, Saipratap Reddy Mule, Prajwal Surushe
EYE GAZE TRACKING TO CONTROL CURSOR MOVEMENT
Prof.Vinutha.N, Anusha.N, Anusha.P, Punyashree.C, Vishwas .RP
DESIGN AND FABRICATION OF MULTIPLE SPINDLE DRILLING ATTACHMENT
SHRIHARI GOVIND PAWAR, BHUSHAN MOHAN RUKE,SAHIL SANJAY DARWATKAR, ABHISHEK VIJAY BAWASKAR, NILAM ANKUSH SURYAWANSHI, PROF. P. V. JATTI
COVID-19 INFECTION SCORE ESTIMATION USING CONVOLUTION NEURAL NETWORK USING CHEST X-RAY IMAGES
Ms.J.C.Patil, Mr.Prof.A.V.Shaha
SOLAR BASED BASED GRASS CUTTING ROBOT
Prof. P. S. Pise, Prajakta Padaval, Dipti Kambale, Shejal Patil, Nakshtra Desai, Sakshi Bhopale
Online Fraudulent Transaction Detection Through Machine Learning and Deep Learning Algorithms
Prof. Nikita P. Shah, Komal Balaji Panchal, Vaishnavi Ashok Jambhale, Gauri Kaluram Kharat, Siddhi Narendra Galinde
VEHICLE DETECTION & ACCIDENT ALERT SYSTEM
Chaitanya P Gore, Mr.Madan M Jadhav, Prasad B Farande, Pooja S Ithape
Vehicle License Plate Recognition System
Rahul D.Bankar, Sagar S. Kamble, Pruthviraj M. Chavan, Mr. Rohit S.Piske
“HYPERSPECTRAL IMAGE CLASSIFICATION USING DEEP LEARNING”
Sourav Yadav, Mangesh Bhadarge, Pooja Vanve, Dr. R. K. Shastri
Phishing Website Classification Using Machine Learning
Kavita Nale, Swati Kulal, Ankita Masal, B.H. Patil
SPAM DETECTION USING VARIOUS MACHINE LEARNING ALGORITHMS
Sowmya T, Suvarna M, Sanjeev J R, Kiran K, Ganjendran
Biometric Identification System using EEG Signals
Prathamesh Chaudhary, Dhanashri Mokashi, Ajnkya Parve, Mr. S. D. Biradar
Image Inpainting Using Deep Learning
Savali Magar, Aishwarya Waykule, Dr. B.H.Patil
“Advancements in Educational Management: The Development of a Comprehensive Student Information System (SIS)”
Mr. Anand Saradar, Mr.Abhishek Bawane, Isha.A.Kulkarni, Mr.T.P.Marode
Design & Analysis Of Waste Heat Recovery System For Open Pan Jaggary Plant
Umesh H. Chandgude, Gaurav A. Patil, Sourabh A. Desai, Prof D. S. Ware
Design And Manufacturing Cow Dung Lifting and Cleaning Machine
Prasad Sanjay Kumbhar, Mayur Mahendra Gujar, Ashutosh Ajay Jadhav, Ramesh Rajaram Mahapur, Prof. D.S Ware
VAPOUR ABSORPTION REFRIGERATION SYSTEM
Umarani Airavati Pradhan, Gaikwad Yash Ashok, Thombre Vaishnavi Sanjay, Prof. V. K. Mehtre
Intelligent Ambient Light-Controlled Street Lighting System for Power Optimization
Priyadarshini Jainapur, Sandeep S, K Poornima Kamath
“Collecting Machine Data Automatically For Digital Transformation”
Onkar Ravane, Junaid Pathan, Ajay Awalgave, Sushil Madewar,Prof. Aditya R. Wankhade
EMERGENCY EVACUATION KIT
Shraddha shinde, Rushikesh kanade, Pratiksha Patil, Pritam patil, Prof. A.R.Wankhade
DESIGN & DEVELOPMENT OF FRICTIONLESS BRAKE
PEDNEKAR SATYAM KIRAN, CHOUGALE GANESH RAGHUNAT, KSHIRSAGAR SUSHANT ANIL, GHODKE TIRUPATI BABURAO, Prof. V.K. Mehtre
DESIGN OF LOC AREA PROTECTED ROBOT
DR. UMADEVI.H, Priyanka S, Radhika U, Ranjitha R S, Vaishnavi L
Abstract
Crop Yield Prediction Using CNN
Prof. Krishna S. Kadam
DOI: 10.17148/IJIREEICE.2024.12501
Abstract: Crop yields are critically dependent on weather. A growing empirical literature models this relationship in order to project climate change impacts on the sector. We describe an approach to yield modeling that uses a semi parametric variant of a deep neural network, which can simultaneously account for complex nonlinear relationships in high-dimensional datasets, as well as known parametric structure and unobserved cross-sectional heterogeneity. Using data on corn yield from the US Midwest, we show that this approach outperforms both classical statistical methods and fully-nonparametric neural networks in predicting yields of years withheld during model training. Using scenarios from a suite of climate models, we show large negative impacts of climate change on corn yield, but less severe than impacts projected using classical statistical methods. In particular, our approach is less pessimistic in the warmest regions and the warmest scenarios using CNN.
Keywords: Crop, semi parametric. Yield ,CNN.
Keywords: Crop, semi parametric. Yield ,CNN.
Abstract
Machine Learning approach for the Evaluation of loan defaulters
Mr.A.B. Majgave
DOI: 10.17148/IJIREEICE.2024.12502
Abstract: In today’s world, obtaining loans from financial institutions has become a very common phenomenon. Every day many people apply for loans, for a variety of purposes. But not all the applicants are reliable, and not everyone can be approved. Every year, there are cases where people do not repay the bulk of the loan amount to the bank which results in huge financial loss. The risk associated with making a decision on a loan approval is immense. Hence, the idea of this project is to gather loan data from the Lending Club website and use machine learning techniques on this data to extract important information and predict if a customer would be able to repay the loan or not. In other words, the goal is to predict if the customer would be a defaulter or not.
Keywords: Lending Club, peer-to-peer Lending, EDA, Machine Learning.
Keywords: Lending Club, peer-to-peer Lending, EDA, Machine Learning.
Abstract
Energy Audit Case Study Of Tobacco Factory
Aditya Kalanke, Prajwal Pise, Rupali Ingle, Shripad Gawande, Om Shelke
DOI: 10.17148/IJIREEICE.2024.12503
Abstract: Energy audits play a pivotal role in reshaping the fortunes of any organization. In India, the conservation and efficient utilization of energy have long been a priority for the government. Mandated by the Energy Conservation Act of 2001, energy audits are now obligatory for all commercial firms in the country. This has spurred a heightened focus on energy conservation among industrial consumers, driven by the realization that saving energy equates to generating it, all while maintaining cost-effectiveness.
This paper delves into the firsthand experiences of an energy conservation project undertaken within the manufacturing sector of Maharashtra state. Despite budget constraints, the project diligently pursued economically viable and efficient measures for energy conservation. The tangible outcomes of these efforts were evident in the subsequent reduction of energy costs, coupled with the added benefit of promoting environmental safety. By sharing these experiences, the paper aims to offer insights into practical approaches for achieving energy efficiency, thus inspiring similar initiatives in other organizations.
Keywords: Energy audits, Energy conservation , Enviromental safety,Cost-effectiveness.
This paper delves into the firsthand experiences of an energy conservation project undertaken within the manufacturing sector of Maharashtra state. Despite budget constraints, the project diligently pursued economically viable and efficient measures for energy conservation. The tangible outcomes of these efforts were evident in the subsequent reduction of energy costs, coupled with the added benefit of promoting environmental safety. By sharing these experiences, the paper aims to offer insights into practical approaches for achieving energy efficiency, thus inspiring similar initiatives in other organizations.
Keywords: Energy audits, Energy conservation , Enviromental safety,Cost-effectiveness.
Abstract
Do humans inhale microplastics in the air?
Suneeta S. Udagave*
DOI: 10.17148/IJIREEICE.2024.12504
Abstract: Over 6% more plastic is produced annually in the form of plastic textile fibres, reaching 60 million metric tonnes, or roughly 16% of global plastic production. Fibrous microplastics are created when these fibres break down (MPs). These MPs have been observed in indoor and outdoor environments, as well as in atmospheric fallouts. Certain fibrous MPs may be inhaled. However, some may persist in the lung causing localised biological responses, including inflammation, especially in individuals with compromised clearance mechanisms. The majority of the are likely to be susceptible to mucociliary clearance. Polycyclic Aromatic Hydrocarbons (PAHs) and other related contaminants may cause adverse effects on the nervous system, while the plastic and its additives (dyes, plasticizers) may cause reproductive toxicity, carcinogenicity, and mutation.
Keywords: Inhalation; Micropollutants; Fibres; Microplastics; Air pollution; Health risk.
Keywords: Inhalation; Micropollutants; Fibres; Microplastics; Air pollution; Health risk.
Abstract
RESEARCH ON DESIGN AND FABRICATION OF DC OPERATED CARRY BAG COLLECTOR
Mangesh S. Kale, Sumeet P. Shinde, Yash V. Gaikwad, Amay A. Bhavik
DOI: 10.17148/IJIREEICE.2024.12505
Abstract: Growing concerns about plastic pollution and environmental sustainability have spurred the development of innovative solutions for waste management. This research paper presents the design and Fabrication of DC bag collector, which aims to solve the problem of plastic waste. The collector uses a combination of mechanical and electrical components to efficiently collect bags from the environment. The carry bag collector device is an innovative result designed to address the growing problem of carry bag pollution in the terrain. This device is a compact and movable device that uses a suction medium to collect carry bags and other debris. The device is equipped with a DC power source which provides power to the suction medium. The collected waste is stored in a collector from where it can be fluently removed for recycling. The carry bag collector device is an effective and ecofriendly way to keep the terrain clean and reduce the dangerous goods of plastic waste. Its compact design and ease of use make it suitable for use in homes, services. Parks, and strands.. We had examined how this device works, its environmental impact, and how it can contribute to a cleaner and further sustainable future. Overall, this paper aims to give precious perceptivity into the significance of addressing plastic pollution and how the plastic bag collector device can play a significant part in mollifying this problem.
Keywords: Environmental problem, Ecosystems, Biodiversity, Single-use carry bags, Decomposition time, Landfills, Innovative solutions, Carry bag collector device, Suction mechanism, DC power source, Waste collection, Recycling, Eco-friendly, Terrain cleanliness, Plastic waste, Sustainable future, In-depth analysis, Environmental impact
Keywords: Environmental problem, Ecosystems, Biodiversity, Single-use carry bags, Decomposition time, Landfills, Innovative solutions, Carry bag collector device, Suction mechanism, DC power source, Waste collection, Recycling, Eco-friendly, Terrain cleanliness, Plastic waste, Sustainable future, In-depth analysis, Environmental impact
Abstract
“REVIEW ON DESIGN AND FABRICATION OF DC OPERATED CARRY BAG COLLECTOR”
Mangesh S. Kale, Sumeet P. Shinde, Yash V. Gaikwad, Amay A. Bhavik
DOI: 10.17148/IJIREEICE.2024.12506
Abstract: Cleaning is very important to protect the human health. With the help of a Smart Vacuum Cleaner, the cleaning of the surroundings in a daily basis. Plastic pollution is a major environmental problem that harms ecosystems and biodiversity around the world. One of the main causes of this problem is single-use plastic bags, which take hundreds of years to decompose in nature and are often thrown into landfills or oceans. In response to this growing concern, new solutions have beendeveloped to combat air pollution.
Solar-operated carry bag collectors have surfaced as inventive solutions for tackling environmental issues linked to plastic pollution. This review paper offers an extensive examination of the different vacuum cleaners. Commencing with a comprehensive overview of the plastic pollution crisis and its adverse impacts on ecosystems, human health, and the economy, the document underscores the urgent requirement for sustainable alternatives.
Renewable energy is very important in today's world because the non-renewable energy sources we use will run out in the near future. The solar operated vacuum cleaner is a step towards saving non-renewable energy. Today, more than ever, we see and hear about the consequences of climate change.
We hear about more and more natural disasters in the media every day, from melting glaciers to rising sea levels, from climate change to rising temperatures.
This paper offers study of different vacuum cleaners which has been already developed and need of eco-friendly vacuum cleaners.
Solar-operated carry bag collectors have surfaced as inventive solutions for tackling environmental issues linked to plastic pollution. This review paper offers an extensive examination of the different vacuum cleaners. Commencing with a comprehensive overview of the plastic pollution crisis and its adverse impacts on ecosystems, human health, and the economy, the document underscores the urgent requirement for sustainable alternatives.
Renewable energy is very important in today's world because the non-renewable energy sources we use will run out in the near future. The solar operated vacuum cleaner is a step towards saving non-renewable energy. Today, more than ever, we see and hear about the consequences of climate change.
We hear about more and more natural disasters in the media every day, from melting glaciers to rising sea levels, from climate change to rising temperatures.
This paper offers study of different vacuum cleaners which has been already developed and need of eco-friendly vacuum cleaners.
Abstract
A Research Paper on Raspberry Pi Face Id:Smart Facial Recognition
Prof. P.G. Kaushik, Afifa Siddiqui, Jagravi Wasekar, Prerna Sharma, Krish Sangani, Vaishnavi Kokode
DOI: 10.17148/IJIREEICE.2024.12507
Abstract: It is impossible to exaggerate the role that facial recognition plays in modern security and surveillance. The demand for a dependable and reasonably priced system is growing as a result. We want to know if it's possible to install a facial recognition system that uses conventional facial detection methods and is based on a Raspberry Pi. offering a novel approach to expedite student attendance records while enhancing security. This Python-developed system uses the Haar Cascade algorithm, a USB camera, and an OLED display as examples of modern technology.
It guarantees accurate and perceptive facial recognition, presenting "Known" or "Unknown" according to unique identifications. When someone approaches the gate, an ultrasonic sensor is used to detect it, which triggers the camera to begin processing images. The idea uses a fast Class 10 SD card and a strong power supply system to enable effective data handling and streaming. In the end, our project serves as a powerful instrument for extremely precise facial recognition, improving the effectiveness and security of facial recognition.
Keyword: Raspberry Pi, Haar Cascade, Facial Recognition.
It guarantees accurate and perceptive facial recognition, presenting "Known" or "Unknown" according to unique identifications. When someone approaches the gate, an ultrasonic sensor is used to detect it, which triggers the camera to begin processing images. The idea uses a fast Class 10 SD card and a strong power supply system to enable effective data handling and streaming. In the end, our project serves as a powerful instrument for extremely precise facial recognition, improving the effectiveness and security of facial recognition.
Keyword: Raspberry Pi, Haar Cascade, Facial Recognition.
Abstract
Underground Cable Fault Distance Detection System
Shreyash V Ghuge, Om G Bayaskar, Harshal G Sawale
DOI: 10.17148/IJIREEICE.2024.12508
Abstract: The primary point of this venture is to identify the deficiencies and variations from the norm happening in underground cables utilizing a microcontroller. The essential thought behind the working of this venture is ohm’s law. At the feeder conclusion, when a DC voltage is connected, based on the area of blame in the cable, the esteem of current too changes. So in case of a brief circuit blame like L-G or L-L blame the alter in voltage esteem measured over the resistor is at that point encouraged to the in-built ADC of the microcontroller. This esteem is handled by the microcontroller and the blame is calculated in terms of separate from the base station. This esteem is sent to the LCD interfaces to the microcontroller and it shows correct area of the blame from the base station in kilometers for all the three stages. This extend is orchestrated with a set of resistors which speak to the length of the cable. At each known kilometer blame switches are put to actuate issues physically. At the blame separate can be determined
Keywords: Categories of faults, Signal Processing Techniques, Fourier Transform Analysis, Fault Detection and Identification.
Keywords: Categories of faults, Signal Processing Techniques, Fourier Transform Analysis, Fault Detection and Identification.
Abstract
AI Based Chatbot for Appliance Control
Vaishnavi Kapre, Sanskruti Fasate, Afifa Sheikh, Samiksha Chawade, Prof. U. W. Kaware
DOI: 10.17148/IJIREEICE.2024.12509
Abstract: Home automation is the automated control of electrical equipment in a house, facilitated by internet connection. These devices can be remotely managed using voice assistants or apps, reducing the need for manual operation. Home automation can control lighting, air conditioning, and temperature settings, thereby reducing energy, heating, and cooling costs. Additionally, it enhances security by using Internet of Things devices like cameras, thereby reducing the risk of accidents. In current scenario ,with the advent of smart home technology, the integration of chatbots for controlling appliances has gained significant attention. This paper presents a chatbot-based appliance control prototype that has features similar to artificial intelligence. The current platform Chatfuel, which enables users to create chatbots from scratch and host them on any social network of their choice such as Facebook Messenger, is used to give the chatbot AI-like features. In addition, a cloud platform Adafruit Io is used to connect the hardware setup including NodeMCU to the internet easily and manage them remotely, allowing users to collect, visualize, and analyse live data streams in the cloud from their devices. IFTTT which is web service is used in the proposed prototype to automate interactions between Chatfuel and the Adafruit IO.
Keywords: Smart homes, Chatbots, Appliance Control, Artificial Intelligence, Facebook Based Chatbots , IFTTT , Adafruit IO
Keywords: Smart homes, Chatbots, Appliance Control, Artificial Intelligence, Facebook Based Chatbots , IFTTT , Adafruit IO
Abstract
ELDER’S CARE ROBOT
Dr. M. V. Bhanuse, Shivraj Ghorpade, Shreyas Thorat, Tejas Shirke, Ritesh Narule
DOI: 10.17148/IJIREEICE.2024.12510
Abstract: This problem will be solved by the proposed effort, which will create a sophisticated robotic system to help elderly people with daily tasks. As the world's population has grown, there is a greater need for efficient and caring aged care. However, the limited healthcare resources frequently result in insufficient attention and support for elders who need help with daily activities. Additionally, seniors' emotional and social needs are frequently disregarded, which contributes to their feelings of loneliness and despair. Our research aims to develop a companion that can deliver essential services, monitor health, and provide companionship by combining cutting-edge robotics, AI, and human-centered design. The goals, approaches, and anticipated outcomes of our Elder Care Robot project are described in this overview
Abstract
AIR POLLUTION CONTROL OF FISH MEAL & OIL INDUSTRY USING BIO-FILTERS
Vishnu, Preetham Naik M, Jayaprakash M C, Vineetha Telma D’Souza
DOI: 10.17148/IJIREEICE.2024.12511
Abstract: The fish oil extraction industry plays a critical role in providing essential omega-3 fatty acids and other valuable compounds to consumers worldwide. However, this process often generates toxic and noxious odors due to dimethylamine (DMA) and trimethylamine (TMA) gases, which pose serious ecological and socio-environmental problems and are considered strong environmental pollutants. This project aims to reduce the noxious odor emissions from the fish meal and oil extraction industry by introducing a novel approach using odor-reducing agents such as acetic acid, lactic acid, and activated charcoal as a bio-filters. The research aims to improve the overall quality of final products while addressing environmental concerns. The findings contribute to the development of sustainable practices in the industry, promoting efficient and eco-friendly fish processing.
Keywords: omega-3 fatty acids, toxic and noxious odors, noxious odor emissions, activated charcoal as a bio-filters.
Keywords: omega-3 fatty acids, toxic and noxious odors, noxious odor emissions, activated charcoal as a bio-filters.
Abstract
IOT Based Digital Water Meter
S. R. Khot, Sejal Patil, Tohid Pakhali, Vedant Yadav, Prajakta Hogade, Harshada Bachate
DOI: 10.17148/IJIREEICE.2024.12512
Abstract: The paper examine through the present panorama of smart water purposes, spotlighting on utilizing IoT technologies to upgrade water systems management. It highlights the importance of various parts like microcontrollers, sensors, and modules in evolving IoT-based answers. A principal conflict underscored is the disjointed essence of current systems, which obstructs the smooth incorporation of IoT technologies. Nevertheless, the entry of 5G networks emerge as a bright solution, providing swift data transmission and backing numerous simultaneous associations. In contrast to 4G/LTE, the enhanced bandwidth of 5G allows quicker data processing, overriding delays that have troubled IoT resolutions. This converting connection empowers the instant data transmission across broad distances, aiding remote surveillance and handling of water systems. In general, the papers emphasize the vital role of 5G technology in unleashing the filled latent of IoT applications for smart water management.
Keywords: IOT, Digital Water Meter, Water Management and Billing System, IOT Based Digital Water Meter
Keywords: IOT, Digital Water Meter, Water Management and Billing System, IOT Based Digital Water Meter
Abstract
Study of Power Transmission from Offshore Wind Farms using 18-Pulse Diode Rectifiers
Shaikh Maroof Shaikh Maqsood
DOI: 10.17148/IJIREEICE.2024.12513
Abstract: This study paper presents an offshore wind farm connected to an 18-pulse diode rectifier for efficient power transmission and harmonic mitigation. The proposed configuration utilizes a combination of wind turbines, transformers, and an 18-pulse diode rectifier to minimize harmonic distortion and ensure compliance with grid codes. This study paper presents a bipolar high voltage direct current (HVdc) link for offshore wind farms (OWFs) connection.
Keywords: Diode rectifier unit (DRU), High voltage direct current (HVDC), Converter Offshore wind farm (OWF), Offshore wind power (OWP), High voltage alternate current (HVAC).
Keywords: Diode rectifier unit (DRU), High voltage direct current (HVDC), Converter Offshore wind farm (OWF), Offshore wind power (OWP), High voltage alternate current (HVAC).
Abstract
Efficient Power Transmission from Offshore Wind Farms using 18-Pulse Diode Rectifiers
Shaikh Maroof Shaikh Maqsood
DOI: 10.17148/IJIREEICE.2024.12514
Abstract: This study investigates the application of 18-pulse diode rectifiers for efficient power transmission from offshore wind farms to the grid. The increasing demand for renewable energy sources has led to the rapid growth of offshore wind farms, which pose significant challenges in terms of power transmission and grid integration. The 18- pulse diode rectifier offers a promising solution to these challenges, enabling the efficient and reliable transmission of power from offshore wind farms to the grid.
Keywords: Diode rectifier unit (DRU), High voltage direct current (HVDC), Converter Offshore wind farm (OWF), Offshore wind power (OWP), High voltage alternate current (HVAC).
Keywords: Diode rectifier unit (DRU), High voltage direct current (HVDC), Converter Offshore wind farm (OWF), Offshore wind power (OWP), High voltage alternate current (HVAC).
Abstract
Study And New Approach Electric Vehicle Charger Design With The Help Of Buck And Boost Converter
NAYAN S. BIJWE
DOI: 10.17148/IJIREEICE.2024.12515
Abstract: An Electric vehicle can be future trends Because of their rapid growth, electric vehicles (EVs) are expected to play a significant role in the global transportation sector's energy transition. The integration of high-level EVs into the electrical grid will present several difficulties for standards, safety, planning, operation, and stability of the power system. To meet the expected charging solutions for EV batteries and to enhance ancillary services, the widespread adoption of EVs necessitates research and development of charging systems and EV supply equipment (EVSE). In order to improve desired charging efficiency and grid support, find a remedy for any negative effects, and hasten EV adoption with sophisticated control strategies, it is critical to analyze the current state of EV charging technology. An extensive review of EV charging technologies is presented in this publication. worldwide standards, EV charging station layout, and EV charging system power converter combinations. To achieve optimal operation and improve grid support, the charging systems need a specific converter architecture, a control strategy, compatibility with standards, and grid codes for charging and discharging. An overview of several charging methods is assessed, including AC and DCbased charging station layouts, onboard and off-board chargers, and AC-DC and DC-DC converter configurations. A presentation of contemporary charging systems that incorporate renewable energy sources is also included to show the power architecture of contemporary charging stations. The research's future path is finally summed up by EV charging trends and problems, as well as grid integration issues.
Keywords: AC-DC , DC-DC, V2G – G2V .
Keywords: AC-DC , DC-DC, V2G – G2V .
Abstract
ELECTRIC VEHICLE FOR DIFFERENTLY ABLED PERSON
Sumedh Kotekar, Vinayak Hupare, Satyajeet Katkar, Rohit Powar
DOI: 10.17148/IJIREEICE.2024.12516
Abstract: For the growing number of people using personal mobility devices, development of devices that address their unique needs are fundamental to their quality of life. Traditionally those with mobility impairments have used wheelchairs to participate in activities. Two problems with traditional wheelchairs are the stress they put on the user’s upper limbs and their inability to actively engage the upper limbs. The goal of this Project is to create easy means of transportation and commutation for differently abled people. Presently, hand-driven vehicles for people with disability in their lower limbs are easily available in the market, but very few vehicles are developed for the people with disability in their lower limbs. The aim of this project is to develop a vehicle for people with disability in their lower limbs and provide vehicle users with improved levels of mobility, facilitating freedom in travel and contribution to the community. The most important part of the design is the incorporation of the steering mechanism which will be fully operated by hands without any discomfort and to make life more comfortable for the physically challenged persons. A battery powered engine was chosen for this design and consideration was also given to the weight.
Keywords: Electric vehicle, BLDC Motor, Chasis, Ball bearing, controller, RFID
Keywords: Electric vehicle, BLDC Motor, Chasis, Ball bearing, controller, RFID
Abstract
RFID Based Passport Verification
Prof.P.S.Pise, Akansha Baber, Najifa Sayyad, Raj Tatugade,Nikita Sawant, Siddhi Patki
DOI: 10.17148/IJIREEICE.2024.12517
Abstract: Radio Frequency Identification (RFID) technology has appear as a important device for automatic identification, enabling the storage and retrieval of data through RFID tags. These tags store unique codes, facilitating efficient data access without the need for scanning. In the context of advancing research, the integration of RFID with Internet of Things (IoT) devices holds significant promise, particularly in the enhancement of electronic passports (E- Passports). However, ensuring secure data storage on E-Passports remains a critical challenge. In this paper, we propose an improved remote E-Visa framework with streamlined security measures. The primary objective of this system is to develop a high-quality remote identity and smart card solution that effectively communicates identity details and visa limitations. By leveraging RFID technology and IoT devices, this advanced system aims to mitigate paperwork and document-related issues while enhancing security features. Furthermore, the proposed framework emphasizes the importance of safeguarding customer data through robust security protocols, thus offering a high level of security in data storage and transmission.
Keywords: RFID, Passport, Verification, Esp8266
Keywords: RFID, Passport, Verification, Esp8266
Abstract
Automatic Leaf Disease Detection And Spraying Robot
Prof. Dr S. D. Bhopale, Pratik Yadav, Shivaraj Kumbhar, Shriprasad Kadam, Saipratap Reddy Mule, Prajwal Surushe
DOI: 10.17148/IJIREEICE.2024.12518
Abstract: Precision farming has become a popular method for increasing agricultural productivity while using less resources in recent years. The health and yield of crops are greatly impacted by leaf diseases, which calls for effective techniques of diagnosis and intervention. The proposed model integrates advanced technologies including computer vision, machine learning, and robotics to achieve autonomous operation in agricultural fields. Equipped with high- resolution cameras and deep learning algorithms, the robot efficiently identifies symptoms of leaf diseases such as spots, lesions, and discolorations. Real-time processing enables rapid diagnosis, ensuring timely intervention.
Keywords: Image processing ,Robot, Deep learning and Pesticide.
Keywords: Image processing ,Robot, Deep learning and Pesticide.
Abstract
EYE GAZE TRACKING TO CONTROL CURSOR MOVEMENT
Prof.Vinutha.N, Anusha.N, Anusha.P, Punyashree.C, Vishwas .RP
DOI: 10.17148/IJIREEICE.2024.12520
Abstract: Controlling a mouse can be particularly challenging for individuals with physical disabilities. To address this issue, we propose a system that enables mouse cursor control using eye movements. Eye gaze offers an alternative method for computer access, allowing users to control the mouse by simply moving their eyes. This approach is especially valuable for those who find touchscreens and traditional mice inaccessible. Eye movement serves as a crucial real-time input medium for human-computer interaction, particularly for individuals with physical disabilities. To enhance the reliability, mobility, and usability of eye tracking technology in user-computer interactions, we have developed a novel eye control system that utilizes a standard webcam, eliminating the need for additional hardware.
Our proposed system focuses on providing a simple and convenient interactive mode that relies solely on the user's eye movements. The system's usage flow is designed to align seamlessly with natural human behaviours. The implementation includes tracking both the iris and cursor movement based on the iris position, allowing for precise control of the cursor on the screen. This eye control system is implemented using Python and leverages webcam technology to detect and interpret eye movements. The simplicity and accessibility of this system make it a promising solution for enhancing computer usability for physically challenged individuals.
Our proposed system focuses on providing a simple and convenient interactive mode that relies solely on the user's eye movements. The system's usage flow is designed to align seamlessly with natural human behaviours. The implementation includes tracking both the iris and cursor movement based on the iris position, allowing for precise control of the cursor on the screen. This eye control system is implemented using Python and leverages webcam technology to detect and interpret eye movements. The simplicity and accessibility of this system make it a promising solution for enhancing computer usability for physically challenged individuals.
Abstract
DESIGN AND FABRICATION OF MULTIPLE SPINDLE DRILLING ATTACHMENT
SHRIHARI GOVIND PAWAR, BHUSHAN MOHAN RUKE,SAHIL SANJAY DARWATKAR, ABHISHEK VIJAY BAWASKAR, NILAM ANKUSH SURYAWANSHI, PROF. P. V. JATTI
DOI: 10.17148/IJIREEICE.2024.12521
Abstract: Manufacturing productivity is critical to the success of the Indian manufacturing industry. Drilling machines are usually used for drilling holes, but they may also do additional activities like as tapping, spot facing, reaming, countersinking, and counter boring, to mention a few. While the multiple spindle drilling attachment conducts fundamental drilling operations, there are some particular duties that are more correctly and readily accomplished. This connection is primarily based on a planetary gear system configuration. Drilling Attachment with Multiple Spindles The primary role is to do many drilling operations at the same time. It offers several advantages, including increased output, decreased operating time, lower labor costs, increased productivity, and many more. Reduce the number of operations cycles as well. If general-purpose machines are used for production, this is not feasible. The design and manufacturing process of the multiple spindle drilling attachment will improve the drilling machine's performance and productivity. In order to optimize the component's cycle time, this article focuses on improving the design and manufacturing process of the multiple spindle drilling attachment.
Keywords: Planetary gear system, Manufacturing, Multi-spindle Drilling Attachment, Gear.
Keywords: Planetary gear system, Manufacturing, Multi-spindle Drilling Attachment, Gear.
Abstract
COVID-19 INFECTION SCORE ESTIMATION USING CONVOLUTION NEURAL NETWORK USING CHEST X-RAY IMAGES
Ms.J.C.Patil, Mr.Prof.A.V.Shaha
DOI: 10.17148/IJIREEICE.2024.12522
Abstract: The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has led to a global health crisis with significant morbidity and mortality. Effective screening methods are crucial for controlling its spread, but existing pathological tests have limited accuracy. Chest radiography imaging, including X-rays and CT scans, offers an adjunctive screening approach, yet interpretation challenges persist due to subtle markers and similarities with other pulmonary diseases. Deep learning architectures, particularly convolutional neural networks (CNNs), present a promising avenue for enhancing diagnostic accuracy. This study explores the modification of the VGG16 model with an attention layer to improve COVID- 19 detection from chest X-ray images. The attention layer highlights relevant features, aiding in the identification of infection markers. Additionally, the model is extended to estimate infection severity, enhancing its diagnostic capabilities. Performance evaluation demonstrates promising results, suggesting the potential impact of attention-based modifications in refining existing architectures for improved COVID-19 screening. This research contributes to the evolving landscape of using deep learning models for COVID-19 detection and severity estimation, offering insights for future research and applications.
Keywords: Mean squared error (MSE), mean absolute error (MAE), Acute Respiratory Distress Syndrome (ARDS),convolutional neural networks (CNNs).
Keywords: Mean squared error (MSE), mean absolute error (MAE), Acute Respiratory Distress Syndrome (ARDS),convolutional neural networks (CNNs).
Abstract
SOLAR BASED BASED GRASS CUTTING ROBOT
Prof. P. S. Pise, Prajakta Padaval, Dipti Kambale, Shejal Patil, Nakshtra Desai, Sakshi Bhopale
DOI: 10.17148/IJIREEICE.2024.12523
Abstract: The solar grass cutter is a device that assists humans in cutting grass automatically by using sliding blades to mow a lawn. Every field has access to even more advanced technology. Numerous robots have evolved into autonomous ones as a result of their quick development. Power usage becomes crucial going forward. A path planning technique determines how the solar grass cutter moves or travels. The solar grass cutter is a very practical tool with an extremely straightforward design. It is used to keep lawns in gardens, colleges, and schools, among other places. We are using an Arduino Uno, a Bluetooth module, a DC motor, and a solar panel in our project. The Arduino Uno microcontroller is used as the microprocessor for this lawn cutter. To simplify and lower the cost of its application, we have made several modifications to the current equipment. This helps us achieve our primary goal of reducing pollution. An inexperienced operator can work with ease and keep the lawn's surface looking uniformly good. With the aid of the bluetooth module, the Arduino Uno keeps an eye on every move made by the lawn cutter. In our project, various grasses are chopped for various applications using a solar grass cutter.
Abstract
Online Fraudulent Transaction Detection Through Machine Learning and Deep Learning Algorithms
Prof. Nikita P. Shah, Komal Balaji Panchal, Vaishnavi Ashok Jambhale, Gauri Kaluram Kharat, Siddhi Narendra Galinde
DOI: 10.17148/IJIREEICE.2024.12524
Abstract: The virtual world has led to a rise in credit card use in the modern era, but misuse and fraud of credit cards have also increased dramatically. It is necessary to identify the many kinds of credit card fraud. Such frauds cause significant financial losses for both the business and the cardholder. Determining whether or not a specific transaction is fraudulent is the primary goal. A high false alarm rate, a shift in the nature of fraud, access to public data, and a large class imbalance are all necessary for detecting fraud. It acknowledges the challenges posed by imbalanced data and explores a range of machine learning and deep learning algorithms. The study focuses on convolutional neural networks (CNNs) and their architectural variations to enhance fraud detection. Through empirical analysis, it achieves impressive results, outperforming existing methods with high accuracy, F1-score, precision, and AUC values. The research also emphasizes the importance of minimizing false negatives. Ultimately, the proposed deep learning model offers a promising solution for real-world credit card fraud detection.
Keywords: credit card fraud, machine learning, deep learning, CNN
Keywords: credit card fraud, machine learning, deep learning, CNN
Abstract
VEHICLE DETECTION & ACCIDENT ALERT SYSTEM
Chaitanya P Gore, Mr.Madan M Jadhav, Prasad B Farande, Pooja S Ithape
DOI: 10.17148/IJIREEICE.2024.12525
Abstract: Our proposed system is designed with the paramount objective of swiftly detecting accidents and promptly notifying the appropriate emergency services. It operates by accurately recording the latitude and longitude of the vehicle involved in the accident and transmitting this critical data to the nearest emergency service provider. In today's vehicular technology landscape, GPS has become an indispensable component. Additionally, an accelerometer is employed to detect sudden shifts in the vehicle's axles, a function tested using Arduino. When an accident is detected, Arduino activates the GSM module to send an alert message to either the police control room or a designated rescue team, providing precise details of the accident location. Subsequently, authorities can leverage the GPS module to automatically pinpoint the accident location and take swift and effective action upon verification of the incident.
Keywords: GSM Module, GPS Modem, Ardunio Uno, Google Map Link.
Keywords: GSM Module, GPS Modem, Ardunio Uno, Google Map Link.
Abstract
Vehicle License Plate Recognition System
Rahul D.Bankar, Sagar S. Kamble, Pruthviraj M. Chavan, Mr. Rohit S.Piske
DOI: 10.17148/IJIREEICE.2024.12526
Abstract: A number plate identification system is a security measure that uses optical character recognition (OCR) and image processing to recognize license plates on automobiles. There are several uses for this technology, including letting parking authorities approve a car for parking and toll road authorities identify and bill a vehicle automatically. The procedure entails taking a picture of the license plate, processing it, and correctly reading and decoding the characters using optical character recognition (OCR). Because it transforms the text in the image into legible characters, the OCR process is essential. This study uses OpenCV and Python to investigate two approaches for detecting license plates: morphological gradient detection and Sobel edge detection. A thorough analysis of these techniques shows their effectiveness and precision, serving as a model for upcoming systems that recognize license plates. For Indian number plates, the accuracy rate ranges from 75 to 85 percent.
Abstract
“HYPERSPECTRAL IMAGE CLASSIFICATION USING DEEP LEARNING”
Sourav Yadav, Mangesh Bhadarge, Pooja Vanve, Dr. R. K. Shastri
DOI: 10.17148/IJIREEICE.2024.12527
Abstract: Hyperspectral Images have hundreds of spectral bands, which makes them rich in information but challenging to classify. Deep learning has been proved to be useful for hyperspectral image classification, but it is important to choose the right architecture and to train the model on a big and diverse dataset. This project offers a deep learning method for classifying hyperspectral images. The proposed method applies preprocessing techniques including noise reduction and feature extraction to extract spectral-spatial characteristics from hyperspectral images using a convolutional neural network (CNN) architecture. Using supervised learning, a sizable dataset of hyperspectral images is used to train the CNN. Then, new hyperspectral images are classified into various land cover classes using the learned model. Additionally, a Support Vector Machine (SVM) is employed alongside the CNN to enhance the classification accuracy. The SVM acts as a complementary classifier, taking the features extracted by the CNN to improve the decision boundaries between different classes. The integration of SVM with CNN helps in achieving better generalization and robustness in classification results. The results of the proposed system show that the suggested technique performs more accurately for hyperspectral image classification using the combined approach of convolutional neural network and support vector machine.
Keywords: Convolutional Neural Network, Hyperspectral, Neural Network, Deep Learning, Spectral, Support Vector Machine.
Keywords: Convolutional Neural Network, Hyperspectral, Neural Network, Deep Learning, Spectral, Support Vector Machine.
Abstract
Phishing Website Classification Using Machine Learning
Kavita Nale, Swati Kulal, Ankita Masal, B.H. Patil
DOI: 10.17148/IJIREEICE.2024.12528
Abstract: A standard method of deceiving unwary individuals to disclose certain information is phishing. Personal information such as your username, password, and details of online financial transactions shall be collected through Phishing websites. The fishermen use their utilize websites with the identical appearance and language design as official websites. We must employ ant phishing techniques in order to identify phishing attempts as technology for their protection develops. This article discusses about detection strategies and approaches for detecting through machine learning. Attackers often use phishing because it's less difficult to trick victims into clicking harmful links which seem legitimate rather than trying to circumvent computer security.
Keywords: Phishing technique, Machine Learning, anti-phishing, phishing attacks, security and privacy, website features, categories, phishing approaches.
Keywords: Phishing technique, Machine Learning, anti-phishing, phishing attacks, security and privacy, website features, categories, phishing approaches.
Abstract
SPAM DETECTION USING VARIOUS MACHINE LEARNING ALGORITHMS
Sowmya T, Suvarna M, Sanjeev J R, Kiran K, Ganjendran
DOI: 10.17148/IJIREEICE.2024.12529
Abstract: The popularity of mobile devices is increasing day by day as they provide a large variety of services by reducing the cost of services. Short Message Service (SMS) is considered one of the widely used communication service. But this has also resulted in a rise in attacks on mobile devices, such as SMS spam. In this study, we suggest an innovative machine learning spam message detection and filtering technique based on classification algorithms. After a careful examination of the characteristics of spam messages, ten parameters were found to be useful in distinguishing SMS spam messages from ham messages. When our recommended method was applied, the Random Forest classification algorithm produced a 1.02% false positive rate and a 96.5% true positive rate.
Keywords: SMS spam, Mobile devices, Machine learning, Feature Selection
Keywords: SMS spam, Mobile devices, Machine learning, Feature Selection
Abstract
Biometric Identification System using EEG Signals
Prathamesh Chaudhary, Dhanashri Mokashi, Ajnkya Parve, Mr. S. D. Biradar
DOI: 10.17148/IJIREEICE.2024.12530
Abstract: The activities of human brain- EEG signals are no doubt to furnish a most secure approach in biometric for user authentication/identification owing to the fact that they are highly sensitive, secretive and inimitable. As we can see, now-a-days the attacks against traditional biometric authentication systems are increased, hence there is the need of a robust biometric authentication which cannot be easily compromised. At present there are two biometric authentication systems: Fingerprint and Facial Recognition, which are most popular and widely used. There is one more case in which the user might be forced by an attacker or hacker to comply authentication. Hence here comes the authentication mechanism which we propose in which the attacker cannot hack, mimic, or forcefully gain access from the user. A Biometric Identification technique which is totally based on subject’s neurological responses and are measured by exercising electroencephalogram (EEG).
Keywords: EEG biometrics, User identification, High accuracy, Brainwave authentication, Biometric security, Electroencephalography, User authentication, Biometric recognition, Neurotechnology, Biometric identification.
Keywords: EEG biometrics, User identification, High accuracy, Brainwave authentication, Biometric security, Electroencephalography, User authentication, Biometric recognition, Neurotechnology, Biometric identification.
Abstract
Image Inpainting Using Deep Learning
Savali Magar, Aishwarya Waykule, Dr. B.H.Patil
DOI: 10.17148/IJIREEICE.2024.12531
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
“Advancements in Educational Management: The Development of a Comprehensive Student Information System (SIS)”
Mr. Anand Saradar, Mr.Abhishek Bawane, Isha.A.Kulkarni, Mr.T.P.Marode
DOI: 10.17148/IJIREEICE.2024.12532
Abstract: The development of a comprehensive Student Information System (SIS) entails the creation of a robust software solution for the storage and maintenance of student information. This system is indispensable for educational institutions seeking to efficiently manage student records, academic reports, institutional details, curriculum data, and other resources. By digitizing student data management, this software significantly reduces institutional expenditures on paper, files, and stationary materials, thereby promoting cost-effectiveness and environmental sustainability. Moreover, the SIS streamlines the sorting and searching of student records, eliminating the time-consuming and error-prone manual processes associated with traditional file systems. Through rigorous testing methodologies, including functional testing and user acceptance testing, the software has been meticulously validated to ensure optimal performance and user- friendliness.
Abstract
Design & Analysis Of Waste Heat Recovery System For Open Pan Jaggary Plant
Umesh H. Chandgude, Gaurav A. Patil, Sourabh A. Desai, Prof D. S. Ware
DOI: 10.17148/IJIREEICE.2024.12533
Abstract: Jaggery making from the sugarcane is a traditional process which creates local employments and entrepreneurship opportunities. Jaggery making plants are generally small units fabricated by local artisans on the basis of age-old expertise without any technical support. Bagasse is used as fuel to boil the sugarcane juice.In traditional single pan jaggery furnace due to incomplete combustion of bagasse energy losses are high resulting into higher fuel consumption and low thermal efficiency of the plat. In order to reduce the losses and cut down the consumption of bagasse, exhaust heat is utilized for preheating of sugarcane juice in pre-heater. The improved plant and the conventional plant are compared on the basis of thermal efficiency and bagasse consumption per Kg jaggery production. Resulted that thermal efficiency is improved and bagasse consumption is reduced.
Keywords: Bagasse, Boiling Pan, Pre-heating, Single pan jaggery
Keywords: Bagasse, Boiling Pan, Pre-heating, Single pan jaggery
Abstract
Design And Manufacturing Cow Dung Lifting and Cleaning Machine
Prasad Sanjay Kumbhar, Mayur Mahendra Gujar, Ashutosh Ajay Jadhav, Ramesh Rajaram Mahapur, Prof. D.S Ware
DOI: 10.17148/IJIREEICE.2024.12534
Abstract: Health is very important when concerned with work, so it’s very important to keep the health in a good condition. While cleaning the animal waste many of people pick it up by hands and some of them by pads. People may undergo with diseases and some may feel allergic to do it. So the worker must be in good condition to make his/her work done. Animal waste cleaner suitable for scrapping animal waste in a passageway the waste which is in semisolid state and it will be collected in efficient way without harming the animals and maintain the hygienic conditions. This is a problem faced by many of the farmers who are undergoing the dairy practices they need to pick up with bear hands. Since there is no existing or affordable devices and because of this waste people get allergic and in order to avoid problems implementation of device is necessary - With the advancement of technology, automated floor cleaning machines are getting more attention of researchers to make life of man kind comfortable. The concept is developing in economic countries but the reasons for non-popularity is the design complexity, cost of machines, and operational charges in terms of power tariff. In this paper, a manual floor cleaning machine is proposed. In early day a floor is clean by using a broom which is operated by human hand, in this a continuous movement of human hand is required which create fatigue and time consuming . The aim of this work is to develop and modernized process for cleaning the floor with wet and dry. This machine is capable of performing cleaning of floor in dry as well as wet condition, and it also have storage box to store a dust. This floor cleaning machine is designed by keeping the basic considerations for machine and efforts reduction, environment friendly and easy handling. The machine will work on electricity and there is no need of training to operate it. This work can be very useful to improve the life style of man.
Abstract
VAPOUR ABSORPTION REFRIGERATION SYSTEM
Umarani Airavati Pradhan, Gaikwad Yash Ashok, Thombre Vaishnavi Sanjay, Prof. V. K. Mehtre
DOI: 10.17148/IJIREEICE.2024.12535
Abstract: Our primary focus of this project would be utilizing design and study environmentally friendly vapor absorption refrigeration systems. The vapor absorption system is a fluid system comprising ammonia and water and it has three phases: Evaporation, Absorption, and Regeneration. Here in this Refrigeration system when low boiling point refrigerant evaporates, it takes some heat away with it providing the cooling effect and changing gas back into liquid. In this system, the compressor is replaced by a generator and Absorber.
Abstract
Intelligent Ambient Light-Controlled Street Lighting System for Power Optimization
Priyadarshini Jainapur, Sandeep S, K Poornima Kamath
DOI: 10.17148/IJIREEICE.2024.12536
Abstract: Street lighting is a significant expense for many cities, primarily due to the high power consumption of sodium vapour lamps. The financial resources allocated to street lighting could be better utilized for other developmental projects. Traditional manual systems, which turn lights on in the evening and off in the morning, often result in substantial energy wastage. This paper proposes an automated system to address these issues, leveraging ambient light sensors to dynamically adjust street light intensity based on surrounding brightness. This eliminates the need for rigid time-based operation schedules, reducing energy consumption and associated costs.
The proposed system is cost-effective and easy to maintain, employing Arduino and Light Dependent Resistors (LDRs) to monitor environmental light levels and control the brightness of LED streetlights accordingly. By replacing High- Intensity Discharge (HID) lamps with LED clusters, the system offers a more energy-efficient solution, consuming approximately one-third to one-half of the power required by HID lighting. Additionally, LEDs have a lifespan over three times longer than HID lamps, minimizing maintenance and replacement efforts. This intelligent street lighting system not only enhances energy efficiency but also contributes to significant long-term savings and sustainability.
Keywords: Sodium Vapour Lamps, Arduino, Light Dependent Resistor, High Intensity discharge.
The proposed system is cost-effective and easy to maintain, employing Arduino and Light Dependent Resistors (LDRs) to monitor environmental light levels and control the brightness of LED streetlights accordingly. By replacing High- Intensity Discharge (HID) lamps with LED clusters, the system offers a more energy-efficient solution, consuming approximately one-third to one-half of the power required by HID lighting. Additionally, LEDs have a lifespan over three times longer than HID lamps, minimizing maintenance and replacement efforts. This intelligent street lighting system not only enhances energy efficiency but also contributes to significant long-term savings and sustainability.
Keywords: Sodium Vapour Lamps, Arduino, Light Dependent Resistor, High Intensity discharge.
Abstract
“Collecting Machine Data Automatically For Digital Transformation”
Onkar Ravane, Junaid Pathan, Ajay Awalgave, Sushil Madewar,Prof. Aditya R. Wankhade
DOI: 10.17148/IJIREEICE.2024.12537
Abstract: Digitalization in manufacturing means using computers and advanced technology to make factories smarter and more efficient. Instead of doing things the old-fashioned way, like using paper and manual labor, digitalization changes information into digital codes that machines can understand and work with. This helps things run faster and better.
When we digitize manufacturing, we stop relying on old methods and start working more closely with machines. This can make operations smoother and more efficient. Digitalization is like a big change in how factories work, bringing in new technologies like artificial intelligence, the Internet of Things (IoT), and robots.
This change will help factories adapt quickly to changes in the market and what customers want. By using things like sensors, parts that move, and a main control system, we can make machines work more precisely and automatically. This project aims to monitor machines in real time, control them from far away, and predict when they might need maintenance.
By connecting old-fashioned machines with new digital tools, this project hopes to make manufacturing better. It wants to make processes smoother, reduce the time machines are not working, and help factories become smarter places to work.
Keywords: Proximity Switch Sensor, Solenoid Electric Lock, Fingerprint Reader Sensor Module, Digital Temperature Controller.
When we digitize manufacturing, we stop relying on old methods and start working more closely with machines. This can make operations smoother and more efficient. Digitalization is like a big change in how factories work, bringing in new technologies like artificial intelligence, the Internet of Things (IoT), and robots.
This change will help factories adapt quickly to changes in the market and what customers want. By using things like sensors, parts that move, and a main control system, we can make machines work more precisely and automatically. This project aims to monitor machines in real time, control them from far away, and predict when they might need maintenance.
By connecting old-fashioned machines with new digital tools, this project hopes to make manufacturing better. It wants to make processes smoother, reduce the time machines are not working, and help factories become smarter places to work.
Keywords: Proximity Switch Sensor, Solenoid Electric Lock, Fingerprint Reader Sensor Module, Digital Temperature Controller.
Abstract
EMERGENCY EVACUATION KIT
Shraddha shinde, Rushikesh kanade, Pratiksha Patil, Pritam patil, Prof. A.R.Wankhade
DOI: 10.17148/IJIREEICE.2024.12538
Abstract: Emergency evacuation kit is a unique personal rescue device which uses an individual harness to help a user safely escape from an emergency situation in a multi-story building. As such, there are certain personal considerations that must be taken into account before a Sky Saver device is issued. Factors can include the user’s height, weight, and physical infirmity among other issues. Prior to the fulfilment of any Sky Saver order, purchasers are required to complete a brief customer information form so that the suitability of the Sky Saver device can be determined. For this reason, any Sky Saver order will take up to twenty one (21) business days, from Sky Saver’s receipt of the completed customer information form, to fulfil. In the event that Sky Saver, in its sole discretion, determines that a device cannot be used safely by a particular individual and cannot be issued, the order will promptly be cancelled. In the event that a device is developed that is potentially suitable for a previously declined individual, they will be contacted and informed of the new device.
Keywords: governor, rope, dead weight, chain sprocket and pedestal bearing.
Keywords: governor, rope, dead weight, chain sprocket and pedestal bearing.
Abstract
DESIGN & DEVELOPMENT OF FRICTIONLESS BRAKE
PEDNEKAR SATYAM KIRAN, CHOUGALE GANESH RAGHUNAT, KSHIRSAGAR SUSHANT ANIL, GHODKE TIRUPATI BABURAO, Prof. V.K. Mehtre
DOI: 10.17148/IJIREEICE.2024.12539
Abstract: Electromagnetic brake slows down a moving object by means of electromagnetic induction, in which it will create a resistance. A pressure is created by the Friction brakes on two separate objects to gradually reduce the speed of the vehicle in a controlled way. The current of the magnet turns in the form of heat of the plate which will reduce the kinetic energy. In this magnetic type of braking system whenever force is applied by the driver on the brake pedal the intensity of braking is sensed by a pressure transducer and delivers the output actuating signals to the microprocessor. This controller sends a signal to the capacitor and from the respective unit a pulsating D.C. current is sent to the power pack. As per the driver’s requirement a proportionate torque is developed to decelerate the vehicle.
Keywords: Electromagnetic brake, electromagnetic induction, Friction brakes, microprocessor.
Keywords: Electromagnetic brake, electromagnetic induction, Friction brakes, microprocessor.
Abstract
DESIGN OF LOC AREA PROTECTED ROBOT
DR. UMADEVI.H, Priyanka S, Radhika U, Ranjitha R S, Vaishnavi L
DOI: 10.17148/IJIREEICE.2024.12540
Abstract: This paper presents the design and implementation of a robot specifically engineered to operate within a Line of Control (LOC) area, enhancing security and operational efficiency in high-risk zones. The robot is equipped with advanced sensory systems, autonomous navigation capabilities, and robust protective features to withstand harsh environmental conditions and potential threats. Key design considerations include real- time obstacle detection and avoidance, secure communication protocols for remote control and data transmission, and an adaptive system. The integration of cutting- edge technologies such as machine learning, computer vision, and resilient materials ensures the robot's reliability and effectiveness in maintaining security and performing surveillance tasks along the LOC. The research addresses the challenges of mobility in rugged terrains, the necessity of sustained operational autonomy, and the importance of safeguarding sensitive data against cyber threats. Through rigorous testing and simulations, the proposed design demonstrates significant potential in augmenting traditional security measures, providing a robust solution for military and border control applications.
Keywords: EmbeddedC,ESP32 Compiler, IFTTT, Blynk.
Keywords: EmbeddedC,ESP32 Compiler, IFTTT, Blynk.