Volume 10 | Issue 4

 Abstract

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Drownnig Detection, Object, Alart

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Nowadays, face recognition is a reliable and accurate access control technique which is used along with other biometric methods. Face recognition is a process of recognizing the face sample of particular person from the set of face samples stored in the system. It can be done by converting images into digital binary representation to extract features using various techniques. In this paper, we propose a real time face recognition system which implemented using VGG16 architecture of Convolutional Neural Networks (CNN) and Transfer Learning. Convolutional Neural Networks are special type of deep learning neural networks which mainly used for image classification. OpenCV open-source library is used for image pre-processing. The experimental results indicates that an average accuracy of 97- 99% is achieved and hence this is one of the best methods for face recognition.

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Face Recognition, Convolutional Neural Networks, Deep Learning.

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License Plate Recognition was a computer system that recognizes any digital image automatically on the number plate. This system includes various operations such as taking pictures, localizing the number pad, truncating characters and OCR from alphanumeric characters. The main idea of this system is to design and develop effective image processing techniques and algorithms to localize the license plate in the captured image, to divide the characters from that number plate and to identify each character of the segment by using the Open Computer Vision Library. This has been implemented in K-NN algorithm and python programming language. Many applications can be implemented by using this system, such as security, highway speed detection, violation of light, identification of handwritten text, discovery of stolen cars, automatic fee collection systems.

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License plate, Computer Vision, Pattern Recognition, Python, OCR, Email.

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 Abstract

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Sentiment, feelings, flaws, application programming interfaces.

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In recent years, Coronaviruses, a large family of viruses, have grown extremely prevalent, communicable, and harmful to the whole human race. It transmits from person to person by exhaling infected breath, which deposits virus droplets on various surfaces, which are subsequently breathed by another person, who contracts the illness. As a result, we must safeguard ourselves and others around us from this predicament. We may take safeguards like keeping social distance, washing hands every two hours, using sanitizer, and, most importantly, wearing a mask. Wearing a mask in public has grown quite widespread in recent years all around the world. Due to its high population in a short space, India is the most afflicted and terrible situation. This study presents a technique for detecting whether or not a face mask is used in offices or any other workplace with a large number of individuals. For this, we employed a convolutional neural network. The model was trained on a real-world dataset and successfully tested using live video streaming. The model's accuracy is further tested using several hyperparameters and many persons at various distances and locations inside the picture. Face Mask Detection, Convolutional Neural Network, MobileNetV2, Corona Virus Precaution are some of the terms used in this paper.

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MobileNetv2, Facemask, CNN, Covid19.

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Differential Evolution (DE) is a simple, rapid, and numerically robust evolutionary optimization approach. The DE algorithm is a population-based algorithm, similar to a genetic algorithm that employs comparable operators, such as crossover, mutation, and selection. The DE method is simple to apply to a wide range of real-valued situations. DE utilized in this work to tackle two engineering optimization problems in the literature. The approach presented in this article compared to other well-known conventional optimization method. According to the results obtained, the convergence speed of DE is much faster than that of the other approaches. As a result, the DE algorithm appears to be a potential method for solving engineering optimization issues.

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Evolutionary Algorithms, Differential Evolution, Optimization, Genetic Algorithms

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The Internet of Things is a network of connected physical objects that can communicate and exchange data without human intervention. As a result, the Internet of Things is considered an "information society infrastructure". The IoT infrastructure used accurate sensors and seamless connectivity to assist in the collection and analysis of real-time information, enabling effective decision making. By using this technology, we present the idea of Security Monitoring System for Remotely Isolated Areas is an IOT-based system that uses the Internet for various purposes. The proposed system shows the existence of a person if it is located on the premises and provides more security by capturing and recording activities on the frames after intruder is detected. When leaving the facility, the user enters a password to activate the system. The operation of the system starts with motion detection, presuming it is because of an intruder, then reports the presence of people to the owner. The corresponding notification will also be sent to Users via SMS. The hardware implementation of the proposed system Supported by Raspberry Pi. Meanwhile, the software used is OpenCV (for video surveillance), Raspberry Pi camera Module for surveillance and GSM module (for SMS notifications).

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IoT, Smart Surveillance, Raspberry Pi, OpenCV.

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In Online Blood Donor Management System is the support function of an organization and it means having the right object, at the right place, in the right time.The main motto behind this project is to provide desired way of blood donation with Availability of blood as needed so that the user can place his order for blood Requirement whenever needed, to fulfil this requirement all possible ways of Donation and information of availability are put up at a single platform with Tracking of active camps facility. For entire website development HTML, CSS, Bootstrap, JavaScript are used for designing and PHP for backend database Connectivity. The report contains detailed information about methodology, research and process of developing the website.

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Online Blood Management, Blood donation, Web Development, camps, donor activities.

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An Android Automatic Question Paper Generator App is project for college officials to automatically generate papers from an existing Questions Database table by applying constraints to automatically select questions from the database. System has a feature to process different paper sets by default. It takes all the tedious work and makes the manual work quick and effective. The software is very useful for auto nomos institutes for Internal Assessment and Semester Paper. The Application will use the database to compile a questionnaire where the database can contain thousands of queries. Every user will its own database where he can add, update and remove questions from Database. At the end teacher can send the question paper to students through mail 5 min before exam starts.

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Android, Descriptive questions, Paper PDF, Question Paper

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Food Detection, UI, Recipies, Chef Booking.

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With the increasing population and industrialization of nations throughout the globe, food waste has become a great concern for all of us. With the help of technology, Machine Learning based Food Waste Management solutions and initiatives that ensures reduced amount of time and energy required can be introduced to provide waste management services and reduce the amount of food waste generated. Different machine learning algorithms will be used to predict the food wastage and the best one will be chosen. Therefore, in this research thought on developing a Machine Learning based food waste management system for restaurants that will predict the daily consumption of food in the restaurant based on the previous data has been made. This will help the restaurant to either reduce or increase the quantity of food based on the prediction. Also a web application has been prepared through which donation the food to the charities or NGOs related to the food concern even if any food is wasted after the prediction can take place.

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Food Waste Management, Prediction, Android, NGO, Donation, Restaurants.

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Real time bird tracker is an application for the farmers. This application will help farmers to get relief from birds who try to eat crops in the field. Flocks of birds cause major damage to fruit crops in the ripening phase. To help eliminate the difficulties, we present a system to defect flocks and to trigger an actuator that will scare objects only when flock passes through the monitored space. This project has the capacity to reduce the farmers' efforts.

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IOT, Bird Tracking, Raspberry pi.

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There are some cases where it is needed to monitor or fill the tanks that are located high from the ground level and labors have to continuously keep monitoring it or filling it by climbing at the tank level high up. It takes lots of time and wastage of syrup to fill the tanks. Especially, for the company in which this model will be fitted which has many problems regarding filling upper tanks situated at high level, labor injury while climbing at high level peak and overflow of water in overhead storage tanks, etc. This is where automatic liquid control system comes into picture. The operation of Syrup control system is based upon the Fact that Arduino will get signals from sound waves emitting from the ultrasonic sensor. As the level of water reaches to the bottom in the tank it will trigger the motor to be turned on and the motor will start filling the tank with water to the maximum level. As soon as the tank is filled with water to its maximum capacity the ultrasonic sensor will emit sound waves and Arduino will receive the pulse required to stop the motor and the motor will stop pumping the water. This automation holds the main motive of reducing labor work.

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Arduino, storage system, ultrasonic sensor, motor, relay module.

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This project talks about design and fabrication of multipurpose quadruped spider robot. A quadruped robot, which is in the classification of multi-legged robots, is defined as a robot with four legs to walk or move. There are so many possibilities for leg placement, leg designs and gait patterns in quadruped robots. The objective of this project is to develop a four legged robot, which looks like a biological spider. It consists of real time web control system that detect the real time status of the environment like forests, big farms etc. This is done by using wireless device.

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Quadrupedal, Spider, Robot, Web.

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The exchange and use of healthcare data are controlled by hospitals and not patients. With features such as immutability, availability, confidentiality, unique identification, provenance and decentralized management, Blockchain can drive significant changes in existing data exchange and ownership models by shifting the system to a patient-centered model. The substantial increase in the adoption of sensors and IoT devices has allowed us to propose systems for monitoring health in real-time; moreover, the system would send an alert message to patients and concerned medical authorities if some anomaly is detected. In this study, we explore the benefits of blockchain in maintaining and sharing electronic health records (EHRs), seeking insurance, and securing the exchange of IoT data between patients and health facilities. Scalability is a fundamental issue of the blockchain. Hence, we also explore off-chain data stores for storing patient information and history, EHRs, and information related to insurance and insurance claims in this article. We also provide a comprehensive analysis of studies used to Analyse IoT data for heart attacks and to reduce the time it takes to diagnose.

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Blockchain, IoT, AI, Healthcare.

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In view of current situation the COVID-19 has become ubiquitous in every corner of the world. Every individual need to be cautious to overcome the spread of the COVID-19. It has become necessary to predict the COVID symptoms in order to allow the people at the public places and the entrances. One of the early symptoms of covid-19 is high body temperature. It would be difficult to check temperature of everyone, there might be a chance of being in contact with the person which is harmful. An automatic temperature scanning gate is presented to verify the body temperature of any intruder. The main objective of the system is to monitor the human body temperature when the presence of human is detected through the PIR sensor. In normal situation the gate is closed. If the module senses any high temperature (more than 37 degree Celsius), buzzer is activated indicating the detection of covid symptom. Otherwise, the gate is opened, thus allowing the person into the room. The opening and closing operation of the gate is performed by a servo motor. And the LCD displays the persons temperature, being detected by Infrared sensor. In this project an attempt will be made to develop a prototype for Automatic temperature detection system for entry for covid safety.

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Arduino, Temperature Sensor, MLX90614, Servo Motor (L293D), Bluetooth.

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The problems of voltage stability of power system are increasing day by day because of increase in power demand. So it is very important to analysis the power system with respect to voltage stability. This paper deals with the voltage stability analysis of IEEE 9 Bus System using STATCOM, SVC and TCSC FACTS controller in PSAT toolbox. These FACTS devices are used for increasing the Maximum Loading Point to enhance the voltage stability. Simulations have been carried out using PSAT (Power System Analysis Toolbox) in Mat lab. The Continuation Power Flow (CPF) method is used to find the weakest bus of the network. Power flow and CPF analysis is done in the PSAT software. The simulations are done for various loading condition of system. This work proposed the most suitable FACTS devices for Voltage Stability Enhancement for given loading condition

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FACTS Devices; loadability; MLP; Voltage Stability; PSAT

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Gender equality and women's empowerment are critical imperatives for achieving sustainable development and inclusive growth in India. Education plays a central role in advancing gender equality by empowering women with knowledge, skills, and opportunities for socio-economic advancement. This research article aims to explore the multifaceted relationship between education and the empowerment of women in India. This paper examines the role of education in women's empowerment in India, drawing on empirical evidence and scholarly research to explore key findings, challenges, and future directions. Despite progress made in promoting girls' education, significant gender disparities persist, particularly in access to quality education, retention rates, and learning outcomes. Socio-cultural norms, economic constraints, infrastructure deficits, and safety concerns continue to pose barriers to girls' education and women's empowerment. However, successful initiatives such as Project Nanhi Kali, Kasturba Gandhi Balika Vidyalaya (KGBV) Scheme, and Educate Girls demonstrate the transformative impact of targeted interventions and community engagement in promoting girls' education and empowering women. Future research should adopt an intersectional approach, conduct longitudinal studies, and rigorously evaluate the impact of interventions to inform evidence-based policy action. Recommendations include addressing structural barriers, adopting empowerment approaches, fostering multi-stakeholder partnerships, and enhancing data collection and monitoring systems. By prioritizing these recommendations, India can build on existing progress and accelerate efforts towards achieving greater gender equality and women's empowerment, thereby unlocking the full potential of its human capital and fostering inclusive development.

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Women's Empowerment, Education, Gender Disparities, Government Policies, India

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The paper will focus on journey. And this journey is the journey of love of the protagonists of Kalidasa's classical drama, 'Abhijnana Shakuntalam' and William Wordsworth's Famous poem, 'Tintern Abbey'. It is a journey from union to re-union of the lovers, and it gets over three stages of love- Infatuation,Commitment and Spiritualism. These three stages always remind me the three states of mind as stated in the poem 'Tintern Abbey' by William Wordsworth, where the poet discusses the journey of mind- from ignorance to maturity, from physical to spiritual, from subjective to objective, from local to the universal. My target in this paper is to make a comparative study between the poem 'Tintern Abbey' and the drama'Abhijnana Shakuntalam' on the basis of the journey of love of the protagonists.

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Nature, Pantheism, Oneness, Transformation

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'?????' ?????? ????? ??????? '??????' ???? ????? ???????? ????? ???? ???? '??-????' ??? ???? ????? ???????? ????? ?????? old manuscript ????? ?????? ??? ?????? ???????? ??????? ???? ????? ?????? ???? ????? ???? ??? ????? ???????????? ?????????? ?????? ?? ????? ?? ?? ???? ???? ???? ?? ????? ?????? ??? ????????? ??????? ??????????? ????? ?????? ??????? ??? ?????? ?? ?????? ????? ??????????, ??????? ?? ??????????? ??????? ????? ??? ??? ????? ????? ????? ???? ???? ???? ?? ??????????????? ????? ?????? '??????' ??? ??? ????? ??? ??? ?????? ??????? ?????? '???????' ???? ??????? ??????? ????? ?????? ?????? ??? ????? ???????? ??? ?????? ????? ????? ?? ??? ??????? ???? ??????? ????? ?? ???? ??? ?????? ?????????

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Puthi, Monosamongal

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