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VOLUME 12, ISSUE 3, MARCH 2024
Numerical analysis of a highly efficient CdTe/CdS:O solar cell with BSF
M. Arif, Md. Mahadi Hasan Sajib
Demand Response of Industrial Boiler for Power System Frequency Regulation
Md. Mahadi Hasan Sajib, Md. Ahad Hossain, M. Arif
An Attendance Monitoring System Utilizing Wi-Fi
Aastha Gupta, Raghavendra R
Lesion Extraction and Stage Detection of Diabetic Retinopathy using Image Processing
Munagala Venkatesh, Madanu Thrinadh, Mannava Sudheer, Jakkamsetti Kiran Naga Sai, Kopuri Preetham
Security System For Women Using Jacket
Prof. M.U. Phutane, Bhat Shweta Shashikant, Tamboli Karina Raju, Bhosale Shraddha Nanasaheb
MOTION BLUR DETECTION USING DEEP GAN METHOD
Ranjini, Dr M Z Kurian, Dr Chidandamurthy MV
Automatic collage Bell using Microcontroller
Prof. M. U. Phutane, Jagdale Pushpraj Dattatray, Chavan Pradnya Sanjay, Arekar Sayali Arun
Substation Monitoring and Control Using GSM
M. N. H. Nahid, M.S. Ahmed, N. Masud
Debris Management System with IoT Integration for Efficient Waste Disposal
Prof. M. M Kolap, Kedar Nitin Joshi, Rohit Chandrakant Saste, Sarang Namdev Gandhawale
Automatic Moisture Controller
Prof. M. M Kolap, Balkrushna Dattakumar Kesarkar, Yash Santosh Renuke, Akash Suresh Kamat
Solar-powered debris collector designed for water bodies
Dr.M. Mohammadha Hussaini, Dr.A. Gowthaman, Dr.P. Govindasamy
A Literature Survey on AI based Chatbots for Appliance Control
Vaishnavi Kapre, Sanskruti Fasate, Afifa Sheikh, Samiksha Chawade, Prof. U. W. Kaware
AUTOMATIC HEALTHCARE SYSTEM FOR PARALYSIS PATIENT
N. S. Vatkar, Ayush Patil, Tejas Munjal, Vaibhav Sutar, Rushikesh Vibhute, Samruddhi Kirolkar, Yogesh Vatka
IOT BASED LANDSLIDING DETECTION AND MONITORING
Vishakha Sadare, Tanjila Nadaf, Shalani Kumari, Prof. P. P. Belgali
Study of Multiband Antenna Design Techniques for Wireless Applications: A Research Review
Akansha Suthar, Dr. Navneet Agrawal
QR Based Smart Rationing System
Dr. T.B. Mohite-Patil, Sandhyarani Patil, Priyanka Chopade, Samrudhi Patil, Soniya Maniyar, Dhanashree Chavan
Abstract
Numerical analysis of a highly efficient CdTe/CdS:O solar cell with BSF
M. Arif, Md. Mahadi Hasan Sajib
DOI: 10.17148/IJIREEICE.2024.12301
Abstract: The polycrystalline cadmium telluride is known as one of the leading photovoltaic materials due to its superior optoelectronic properties and possibilities of cost effective fabrication. It has a direct bandgap of 1.45 eV and absorption coefficient over 5x105 /cm. It was investigated the possibility of using double buffer layer and BSF to increase the cell performance by numerical analysis with SCAPS-1D simulator. The CdTe absorption layer was reduced to 1 μm only with ZnTe as BSF layer. The Viability of using double buffer layer of ZnO and Zn2SnO4 was examined and it showed maximum conversion efficiency of 26.34% (Voc= 1.07 V, Jsc=28.7771 mA/cm2, FF= 85.04%). The proposed cell structure is (Glass/SnO2/Zn2SnO4/ ZnO/ CdS:O/ CdTe /ZnTe /Ni).The thermal stability was investigated and shown temperature coefficient of -0.268 %/°C which clearly indicate the better stability of the proposed cell.
Keywords: Solar cell, CdTe, CdS:O, ZnO, Zn2SnO4, BSF, SCAPS-1D, Efficiency, Stability.
Keywords: Solar cell, CdTe, CdS:O, ZnO, Zn2SnO4, BSF, SCAPS-1D, Efficiency, Stability.
Abstract
Demand Response of Industrial Boiler for Power System Frequency Regulation
Md. Mahadi Hasan Sajib, Md. Ahad Hossain, M. Arif
DOI: 10.17148/IJIREEICE.2024.12302
Abstract: Frequency fluctuation is one of the major issue of power system stability problem. By increasing the spinning reserve is the conventional way to mitigate this problem. Textile industry consume a large amount of electric energy. The industry can privilege its cost by participating in demand side management in power system grid. This paper proposed a demand side resource like industrial boiler to regulate power system frequency. Due to thermal inertia by adjusting the temperature set point of the heater of an industrial boiler, it would able to provide a fast frequency regulation without sacrificing the industrial compliance. The proposed method not only can enhance the frequency regulation during the time of power unbalance, like rapid increase in load of the industry or rapid loss of generation but also reduce the significant proportion of the total cost in textile industry. The effectiveness of the model is verified in several plausible case studies.
Keywords: Demand side response, frequency regulation, responsive load, industrial boiler, turbine governor.
Keywords: Demand side response, frequency regulation, responsive load, industrial boiler, turbine governor.
Abstract
An Attendance Monitoring System Utilizing Wi-Fi
Aastha Gupta, Raghavendra R
DOI: 10.17148/IJIREEICE.2024.12303
Abstract: The attendance monitoring system significantly improves faculty presence tracking. Previously, department heads or higher-ranking administrators managed attendance using outdated methods, leading to disparities in records. A new system utilizing facial recognition and fingerprint scanning addresses these issues. Additionally, a smartphone app tracks staff attendance on campus using Wi-Fi and GPS, storing data securely in a database for administrators to edit if necessary. This integrated solution simplifies the process, ensures data integrity, and enables real-time monitoring.
Keywords: face recognition, smart attendance monitoring, image enhancement, segmentation
Keywords: face recognition, smart attendance monitoring, image enhancement, segmentation
Abstract
Lesion Extraction and Stage Detection of Diabetic Retinopathy using Image Processing
Munagala Venkatesh, Madanu Thrinadh, Mannava Sudheer, Jakkamsetti Kiran Naga Sai, Kopuri Preetham
DOI: 10.17148/IJIREEICE.2024.12304
Abstract: Diabetic Retinopathy (DR), a diabetic eye disease, manifests as damage to the retina due to blood leakage, leading to the development of Red Lesions (Microaneurysms and Hemorrhages) and Bright Lesions (Hard Exudates and Cotton Wool Spots). Chronic, uncontrolled diabetes is the primary cause, with delayed treatment potentially resulting in complete blindness. DR is clinically categorized into four stages: No DR, Mild DR, Moderate DR, and Severe DR. Manual detection of DR by ophthalmologists is time-consuming, causing prolonged suffering for patients. To address this, our research leverages advanced technological tools like MATLAB to automate lesion extraction and feature analysis. By quantifying parameters such as lesion number, area, perimeter, and solidity, our model aims to accurately categorize DR severity. Specifically, we focus on utilizing the area covered by lesions to determine the disease stage, providing valuable insights into disease progression. Our approach not only accelerates the detection process but also enhances accuracy, potentially improving patient outcomes. By automating lesion extraction and analysis, our system reduces the burden on ophthalmologists, allowing for more efficient allocation of healthcare resources. This research contributes to the field by offering a robust method for DR assessment, facilitating early intervention and treatment.
Keywords: DR (Diabetic Retinopathy), MATLAB, Microaneurysms, Hemorrhages, Hard Exudates, Cotton Wool Spots, Red Lesions, Bright Lesions.
Keywords: DR (Diabetic Retinopathy), MATLAB, Microaneurysms, Hemorrhages, Hard Exudates, Cotton Wool Spots, Red Lesions, Bright Lesions.
Abstract
Security System For Women Using Jacket
Prof. M.U. Phutane, Bhat Shweta Shashikant, Tamboli Karina Raju, Bhosale Shraddha Nanasaheb
DOI: 10.17148/IJIREEICE.2024.12305
Abstract: The Raspberry Pi-based Women's Safety Jacket is a smart solution designed to provide a comfortable and easy-to-use safety system for women in emergencies. Existing safety solutions such as separate garments, bulky belts and mobile apps are considered obsolete and abstract. This paper introduces an innovative electronic jacket specifically designed for women's safety. It is a response to the unfortunate reality that women frequently experience misbehavior, abduction, and harassment at the hands of men. Women have made significant contributions in various fields, including sports, dance, education, business, and politics, but their safety remains a pressing concern. Despite their accomplishments, women still face risks and vulnerabilities.
To address these challenges, we have developed an electronic system integrated into a jacket. This system utilizes cutting- edge technologies such as touch sensor, bluetooth, shock sensor, and a buzzer, all controlled by a Raspberry Pi board. By implementing this system, we aim to provide women with provide women with a tangible solution that enhances their personal safety and empowers them to navigate the world without feeling helpless. The electronic jacket acts as a protective shield, allowing women to assert their presence in society with greater confidence and peace of mind.
Keywords: Android GPS, Shock sensor, Touch sensor, Buzzer, ON OFF switch, Raspberry PI Pico module, HC05 Bluetooth Module ,2 9V Battery, Relay switch.
To address these challenges, we have developed an electronic system integrated into a jacket. This system utilizes cutting- edge technologies such as touch sensor, bluetooth, shock sensor, and a buzzer, all controlled by a Raspberry Pi board. By implementing this system, we aim to provide women with provide women with a tangible solution that enhances their personal safety and empowers them to navigate the world without feeling helpless. The electronic jacket acts as a protective shield, allowing women to assert their presence in society with greater confidence and peace of mind.
Keywords: Android GPS, Shock sensor, Touch sensor, Buzzer, ON OFF switch, Raspberry PI Pico module, HC05 Bluetooth Module ,2 9V Battery, Relay switch.
Abstract
MOTION BLUR DETECTION USING DEEP GAN METHOD
Ranjini, Dr M Z Kurian, Dr Chidandamurthy MV
DOI: 10.17148/IJIREEICE.2024.12306
Abstract: This paper presents a novel approach for blur detection and removal using Generative Adversarial Networks (GANs). The proposed method leverages the power of deep learning to automatically identify and eliminate blur in digital images.
The first phase of the process involves training a GAN model on a dataset of paired images, where one image is sharp and the other is intentionally blurred. The GAN consists of a generator network that aims to generate sharp images from their blurred counterparts, and a discriminator network that distinguishes between real and generated sharp images. During the training phase, the generator network learns the mapping from blurred images to sharp images, while the discriminator network improves its ability to differentiate between real and generated sharp images. This adversarial training process helps the GAN model improve its performance in detecting and removing blur from images.
In the testing phase, the trained GAN model can be used to enhance images by detecting and effectively removing blur. Experimental results demonstrate the effectiveness of the proposed approach in achieving high-quality image restoration and enhancement.
Overall, the proposed blur detection and removal technique and removal technique using GANs showcases the potential of deep learning in addressing challenging image processing tasks and contributes to the ongoing advancements in the field of computer vision.
The first phase of the process involves training a GAN model on a dataset of paired images, where one image is sharp and the other is intentionally blurred. The GAN consists of a generator network that aims to generate sharp images from their blurred counterparts, and a discriminator network that distinguishes between real and generated sharp images. During the training phase, the generator network learns the mapping from blurred images to sharp images, while the discriminator network improves its ability to differentiate between real and generated sharp images. This adversarial training process helps the GAN model improve its performance in detecting and removing blur from images.
In the testing phase, the trained GAN model can be used to enhance images by detecting and effectively removing blur. Experimental results demonstrate the effectiveness of the proposed approach in achieving high-quality image restoration and enhancement.
Overall, the proposed blur detection and removal technique and removal technique using GANs showcases the potential of deep learning in addressing challenging image processing tasks and contributes to the ongoing advancements in the field of computer vision.
Abstract
Automatic collage Bell using Microcontroller
Prof. M. U. Phutane, Jagdale Pushpraj Dattatray, Chavan Pradnya Sanjay, Arekar Sayali Arun
DOI: 10.17148/IJIREEICE.2024.12307
Abstract: The main objective of this paper is to implement an automatic collage bell using microcontroller. An automatic bell system for school or collage reduce the effort necessary to control an electric bell manually that gives alarm for certain intervals of time based on school r collage timing.
This paper helps to manage the schedule and works automatically according to it. You have to set the instructions at once and then it will work accordingly. You can see the entered data on the LCD screen. You can set many periods as you want. The timer represents in LCD is in seconds. Then confirm the time and a timer will start on the LCD. When the time is over the buzzer starts running. We used three major components which are Real Time Clock (RYCDS1307), 16*2 LCD module, and Arduino.
Keywords: Atmega32Microcontroller, Bluetooth module, RTCDS1307, LCD display , Relay, Buzzer.
This paper helps to manage the schedule and works automatically according to it. You have to set the instructions at once and then it will work accordingly. You can see the entered data on the LCD screen. You can set many periods as you want. The timer represents in LCD is in seconds. Then confirm the time and a timer will start on the LCD. When the time is over the buzzer starts running. We used three major components which are Real Time Clock (RYCDS1307), 16*2 LCD module, and Arduino.
Keywords: Atmega32Microcontroller, Bluetooth module, RTCDS1307, LCD display , Relay, Buzzer.
Abstract
Substation Monitoring and Control Using GSM
M. N. H. Nahid, M.S. Ahmed, N. Masud
DOI: 10.17148/IJIREEICE.2024.12308
Abstract: A mobile embedded system is implemented in this project to observe the quality of load current, frequency, voltage and temperature of a power substation. Integration of a microcontroller, different sensors and global service mobile (GSM) modem is installed at the transformer site and above key parameters are observed. With the help of analog to digital converter parameters are processed and stored in system memory. Any disastrous failure occurs the system sends a SMS to the mobile phone according to predefined values given by microcontroller. Hence helps in smooth functioning of power substation Through this project, it can be determined whether the load shedding is happening, how the output power will be turned off when the voltage is high, and if the frequency is low, then the output load will stop.
We have designed a project through this project we will be able to determine the voltage current and frequency very easily and by measuring through these units we will learn how load shedding or high voltage is determined considering these aspects depending on these units we have a project Designed if ever the voltage becomes high the output will power off if beyond a certain amperage if more ampere load is taken then the output will power off if the frequency is decreasing still the output power will be off. It has been made so that anyone can make it and use it. Special attention has also been paid to ensure that no project is bought from abroad and brought to this country or any machine brought from abroad is not used in this country. Another thing to note is that the authorities will get an instant SMS througha GSM model with variation of the output and will know when a system has been turned off or on.
Keywords: Arduino, Real time monitor,voltage controller, GSM.
We have designed a project through this project we will be able to determine the voltage current and frequency very easily and by measuring through these units we will learn how load shedding or high voltage is determined considering these aspects depending on these units we have a project Designed if ever the voltage becomes high the output will power off if beyond a certain amperage if more ampere load is taken then the output will power off if the frequency is decreasing still the output power will be off. It has been made so that anyone can make it and use it. Special attention has also been paid to ensure that no project is bought from abroad and brought to this country or any machine brought from abroad is not used in this country. Another thing to note is that the authorities will get an instant SMS througha GSM model with variation of the output and will know when a system has been turned off or on.
Keywords: Arduino, Real time monitor,voltage controller, GSM.
Abstract
Debris Management System with IoT Integration for Efficient Waste Disposal
Prof. M. M Kolap, Kedar Nitin Joshi, Rohit Chandrakant Saste, Sarang Namdev Gandhawale
DOI: 10.17148/IJIREEICE.2024.12309
Abstract: The "Debris Management System with IoT Integration for Efficient Waste Disposal" project aims to revolutionize waste management practices by leveraging the power of Internet of Things (IoT) technology. Traditional waste disposal methods often lack efficiency and are prone to environmental hazards. This project proposes an innovative solution that combines IoT devices, data analytics, and a centralized management system to streamline debris management processes.
The smart dustbin system comprises a network of IoT-enabled bins strategically deployed in urban and public spaces. Each dustbin is equipped with sensors to detect fill levels, weight, and Hazardous Gas. These sensors transmit real-time data to a central server or cloud-based platform via wireless communication protocols such as Wi-Fi.
Keywords: ESP32, Ultrasonic Sensor, Weight Sensor, Gas Sensor, LCD display.
The smart dustbin system comprises a network of IoT-enabled bins strategically deployed in urban and public spaces. Each dustbin is equipped with sensors to detect fill levels, weight, and Hazardous Gas. These sensors transmit real-time data to a central server or cloud-based platform via wireless communication protocols such as Wi-Fi.
Keywords: ESP32, Ultrasonic Sensor, Weight Sensor, Gas Sensor, LCD display.
Abstract
Automatic Moisture Controller
Prof. M. M Kolap, Balkrushna Dattakumar Kesarkar, Yash Santosh Renuke, Akash Suresh Kamat
DOI: 10.17148/IJIREEICE.2024.12310
Abstract: The automatic moisture controller helps farmers water their crops just right. It uses special sensors, tiny computers, and devices that control water flow. By constantly checking the soil's moisture and making quick decisions, it only waters when needed, saving water and helping plants grow better. This system is good for farmers because it's affordable and eco-friendly. Tests show it works well, keeping the soil just moist enough for crops to thrive, which means better harvests and less wasted water.
The system integrates moisture sensors, microcontrollers, and actuators to achieve precise and efficient control over soil moisture levels. Through real-time monitoring and analysis of soil moisture data, the controller autonomously adjusts irrigation schedules to ensure optimal moisture conditions for plant growth while minimizing water usage. The proposed controller offers a cost-effective and sustainable solution to address the challenges of water scarcity and agricultural productivity
Keywords: HC05 Bluetooth, Moisture Sensor, Arduino’s Nano board, I2C Module, LCD display.
The system integrates moisture sensors, microcontrollers, and actuators to achieve precise and efficient control over soil moisture levels. Through real-time monitoring and analysis of soil moisture data, the controller autonomously adjusts irrigation schedules to ensure optimal moisture conditions for plant growth while minimizing water usage. The proposed controller offers a cost-effective and sustainable solution to address the challenges of water scarcity and agricultural productivity
Keywords: HC05 Bluetooth, Moisture Sensor, Arduino’s Nano board, I2C Module, LCD display.
Abstract
Solar-powered debris collector designed for water bodies
Dr.M. Mohammadha Hussaini, Dr.A. Gowthaman, Dr.P. Govindasamy
DOI: 10.17148/IJIREEICE.2024.12311
Abstract: The paper focuses on the creation of a prototype for an Internet of Things (IoT) based Water Surface rubbish Collector. The aim behind this project is to educate individuals about the importance of monitoring the health of our rivers. The prototype allows people to collect rubbish from the water surface using a mobile robot. The trash collector is specifically engineered for the purpose of cleaning small-scale lakes, narrow rivers, land, and sewers. The robot's navigation is governed by IOT communication facilitated through a Smartphone application. A comprehensive assessment was conducted to evaluate the control efficiency and garbage collecting load capacity of the water garbage collector. According to the empirical findings obtained from a swimming pool, the device has the capability to function across a considerable distance and gather recyclable waste of small to medium dimensions, including food packaging, water bottles, and plastics. The device successfully maintained buoyancy and maneuvered on the River while remaining within the range of the Bluetooth network. It is advisable to utilize a robust and lightweight material for the construction of this water waste collector. An ultrasonic sensor is used to determine the level of waste in a collection of trash particles. This sensor is being integrated in future plans to enable a fully autonomous control system.
Keywords: Internet of Things, ESP32, Arduino IDE, Photo Voltaic Cell.
Keywords: Internet of Things, ESP32, Arduino IDE, Photo Voltaic Cell.
Abstract
A Literature Survey on AI based Chatbots for Appliance Control
Vaishnavi Kapre, Sanskruti Fasate, Afifa Sheikh, Samiksha Chawade, Prof. U. W. Kaware
DOI: 10.17148/IJIREEICE.2024.12312
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 provides a comprehensive overview of appliance control techniques leveraging chatbot interfaces. It examines the evolution of smart homes, the role of chatbots in human- computer interaction, and various methods employed for appliance control via chatbots. Additionally, challenges and future directions in this domain are discussed, highlighting the potential for further research and innovation.
Keywords: Smart homes, Chatbots, Appliance Control, Human-Computer Interaction, Artificial Intelligence.
Keywords: Smart homes, Chatbots, Appliance Control, Human-Computer Interaction, Artificial Intelligence.
Abstract
AUTOMATIC HEALTHCARE SYSTEM FOR PARALYSIS PATIENT
N. S. Vatkar, Ayush Patil, Tejas Munjal, Vaibhav Sutar, Rushikesh Vibhute, Samruddhi Kirolkar, Yogesh Vatka
DOI: 10.17148/IJIREEICE.2024.12313
Abstract: Paralysis occurs when you’re unable to make voluntary muscle movements. A nervous system problem causes paralysis. Uninjured nerves send signals to muscles. Those signals make muscles move. When you’re paralyzed, or have paralysis, you can’t move certain parts of your body. According to a report from the Indian Institute of Paralysis, out of every one crore people, 12,000 to 15,000 have Paralysis. In many cases, individuals with paralysis face challenges in expressing their needs, as they often struggle with speech impediments and cannot communicate through sign language due to partially compromised motor control. In response to this critical necessity, our proposed system offers a solution by facilitating message display on an OLED screen through simple hand gestures. The system operates by detecting various tilt directions of the fingers, facilitated by a transmitter embedded within a glove worn by the patient. Users can convey different messages by tilting the device in different directions. An accelerometer captures motion statistics, which are transmitted to a microcontroller for processing. Subsequently, the microcontroller interprets the data and displays the corresponding message on the OLED screen. Additionally, a buzzer is activated simultaneously with a message display upon receiving motion signals from the accelerometer. This innovative approach holds promise in empowering individuals with paralysis to communicate effectively, enhancing their quality of life and independence.
Keywords: Smart Gloves, Paralysis, ECG, ATmega2560, Flex Sensor, OLED, LM35, Accelerometer.
Keywords: Smart Gloves, Paralysis, ECG, ATmega2560, Flex Sensor, OLED, LM35, Accelerometer.
Abstract
IOT BASED LANDSLIDING DETECTION AND MONITORING
Vishakha Sadare, Tanjila Nadaf, Shalani Kumari, Prof. P. P. Belgali
DOI: 10.17148/IJIREEICE.2024.12314
Abstract: Landslides pose significant threats to lives, infrastructure, and the environment. Detecting and monitoring landslides in real-time is crucial for early warning and mitigation efforts. In recent years, advancements in Internet of Things (IoT) technology have paved the way for innovative solutions in disaster management. This project proposes an IoT-based Landslide Detection and Monitoring System designed to provide timely alerts and comprehensive data for effective response and risk reduction. The system integrates various sensors such as accelerometers, inclinometers, and moisture sensors deployed in landslide-prone areas to continuously monitor ground movement, slope stability, and soil conditions. These sensors are connected to a central IoT gateway, which collects, processes, and analyzes the data in real- time. Machine learning algorithms are employed to detect patterns indicative of potential landslide events, enhancing the system's predictive capabilities.
Keywords: IoT (Internet of Things), Landslide Detection, Landslide Monitoring, Real-time Data, Cloud-based Platform, Early Warning System,Risk Assessment, Emergency Response, Alert.
Keywords: IoT (Internet of Things), Landslide Detection, Landslide Monitoring, Real-time Data, Cloud-based Platform, Early Warning System,Risk Assessment, Emergency Response, Alert.
Abstract
Study of Multiband Antenna Design Techniques for Wireless Applications: A Research Review
Akansha Suthar, Dr. Navneet Agrawal
DOI: 10.17148/IJIREEICE.2024.12315
Abstract: Now a days, multiband antennas are in greater demand because they allow for the flexibility to combine many wireless communication standards in a single antenna system. Therefore, for the compact communication devices and systems multiband antenna is essential. This paper gives a comprehensive review of various techniques to implement multiband antenna with enhanced parameters, such as compact size, high gain, and superior radiation characteristics for various wireless communication standards.
Keywords: Microstrip Patch Antenna (MPA), Multiband, Defected Ground Structures (DGS), Fractals, Metamaterial, Slots.
Keywords: Microstrip Patch Antenna (MPA), Multiband, Defected Ground Structures (DGS), Fractals, Metamaterial, Slots.
Abstract
QR Based Smart Rationing System
Dr. T.B. Mohite-Patil, Sandhyarani Patil, Priyanka Chopade, Samrudhi Patil, Soniya Maniyar, Dhanashree Chavan
DOI: 10.17148/IJIREEICE.2024.12316
Abstract: Ration distribution is essential thing of the Persons which are from economically backward class. But the fraudulence in the distribution of ration is becomes the serious Problem Nowadays. The fraud in the ration distribution is takes place by distributing ration to the unauthorized person. even the authorized customer doesn’t have an idea about it. So, to minimize the human intervention and fraudulence in the ration we proposed QR based ration system. In which when the customer scans the QR based ration system. In which when the custome4r scan the QR which is unique for each customer they get ration and passage also the distributor also gets the information about it in the form of message.
Keywords: QR codes, ration distribution, fraud, Human intervention, Stock availability.
Keywords: QR codes, ration distribution, fraud, Human intervention, Stock availability.
Abstract
THE EVOLUTION AND FUTURE POTENTIAL OF LARGE LANGUAGE MODELS (LLMS) IN NATURAL LANGUAGE PROCESSING (NLP)
Hao Wu
DOI: 10.17148/IJIREEICE.2024.12317
Abstract: The rapid evolution of Large Language Models (LLMs) has transformed the field of Natural Language Processing (NLP), enabling machines to understand, generate, and interact with human language at unprecedented levels of sophistication. This article explores the chronological development, underlying architectures, and transformative capabilities of LLMs such as GPT, BERT, and PaLM, while highlighting their influence across key domains including healthcare, education, finance, and customer service. The study synthesizes insights from recent literature to examine how scaling model parameters, integrating multimodal data, and enhancing contextual reasoning have expanded the functional boundaries of NLP. Moreover, it discusses current challenges related to computational efficiency, ethical concerns, and model interpretability, proposing pathways for future research that focus on sustainability, transparency, and alignment with human values. Ultimately, this review underscores the immense potential of LLMs to redefine human–machine communication and drive innovation across industries in the era of intelligent automation.
Keywords: Large Language Models (LLMs); Natural Language Processing (NLP); Deep Learning; Transformer Architecture; Model Scaling; Multimodal Learning; AI Ethics; Computational Efficiency; Human–AI Interaction; Future of Artificial Intelligence.
Keywords: Large Language Models (LLMs); Natural Language Processing (NLP); Deep Learning; Transformer Architecture; Model Scaling; Multimodal Learning; AI Ethics; Computational Efficiency; Human–AI Interaction; Future of Artificial Intelligence.