This document summarizes a biometric attendance management system that uses Raspberry Pi. The system uses two modules - fingerprint and facial recognition - to uniquely record student attendance. Fingerprint data is stored and matched using an optical fingerprint reader connected to Raspberry Pi. Facial recognition uses the PiCamera module and implements LBPH face recognition to detect and recognize faces from a pre-registered dataset. Recorded attendance data is sent to a Firebase real-time database using Python. This allows attendance data to be retrieved and customized reports to be generated from a web application. The system aims to provide a fully functional backup method for recording attendance compared to other existing biometric systems.
IRJET - Automated Attendance System using Facial RecognitionIRJET Journal
This document describes an automated attendance system using facial recognition. The system uses the Haar-cascade algorithm with three classifiers (skin, mouth, eyes) implemented in Python's OpenCV library. It also uses PCA to maintain accuracy in facial detection. The system marks employee attendance in real-time by capturing images of employees entering and exiting through gates, without requiring employees to sign papers, use RFID cards, or biometrics. This makes the system more efficient than conventional methods. It provides accurate attendance records to help with performance monitoring and payroll processing.
This document describes an e-attendance manager system that was developed to manage student and faculty attendance electronically for educational institutions. It uses a multi-tier architecture with layers for the presentation, service, business, and data access layers. The system allows administrators to manage attendance across multiple institutions from one place. It provides secure login functionality for students, faculty and administrators. The system is expected to reduce human effort in attendance management tasks and make the process more efficient.
This document describes a wireless fingerprint attendance system that was designed to automatically record student attendance using fingerprint identification. The system uses a fingerprint sensor module connected to a computer via a Zigbee wireless network. Students register their fingerprints initially. When attending a lecture, they place their finger on the sensor to be identified and have their attendance marked electronically and automatically. The system aims to eliminate the disadvantages of traditional paper-based attendance tracking systems. It provides a low-cost and efficient automatic solution for recording attendance.
The document describes a proposed UID secure travel identity system that would provide Indian citizens with a unique identification number linked to biometric data. This would allow citizens to apply for a passport or driver's license digitally without agents. It would also let law enforcement view citizen data and notify airports if someone is not allowed to travel. The system would integrate various government departments and applications into a single platform to streamline processes and reduce delays. It analyzes the limitations of existing systems and outlines the features and methodology of the proposed centralized UID system to provide a digital identity for all government transactions.
IRJET- Review Paper of Design and Implementation of an Intelligent Biomet...IRJET Journal
This document summarizes previous research on designing an intelligent biometric attendance system using IoT. It discusses how previous systems used RFID or fingerprint biometrics to automate attendance tracking but had issues like students using other students' cards or slow fingerprint matching. The document then proposes a new hybrid system that uses both fingerprint biometrics and IoT to address these issues. It suggests capturing fingerprints using a sensor and securely storing data in the cloud for real-time attendance tracking from anywhere. This would allow automated attendance without risks of fraud or manual errors while providing flexibility and remote access to attendance records.
This project proposal outlines a facial recognition-based attendance system for educational institutions. It aims to address issues with previous manual attendance systems by developing an automated system using facial recognition technology. The system will accurately record attendance faster than manual systems, securely store attendance data in a database, and allow parents access to their child's attendance records. It will reduce errors, save time, and provide a more convenient and secure attendance management solution.
Employee record for admin application using android smartphoneIRJET Journal
This document describes an employee monitoring system that uses Android smartphones. The system allows managers to monitor employee phone use, including calls, messages, location via GPS. It stores call logs, messages, and location updates on a centralized server. Managers can log into the server to view employee phone activity details. The system is designed to help managers screen employees and avoid misuse of company phones. It uses Android phones for employees and sends alerts to managers via SMS. The literature review discusses previous research on similar employee monitoring systems using Android phones and GPS tracking of employees.
This document describes a facial recognition-based attendance system project created by three students. The project aims to build an automated attendance monitoring system using facial recognition technology to address issues with the previous manual system, such as inaccurate attendance tracking. The new system can recognize faces of up to 2,000 individuals and records attendance data directly into a database and Excel file. It provides convenience to the educational institution by automating attendance tasks.
IRJET - Automated Attendance System using Facial RecognitionIRJET Journal
This document describes an automated attendance system using facial recognition. The system uses the Haar-cascade algorithm with three classifiers (skin, mouth, eyes) implemented in Python's OpenCV library. It also uses PCA to maintain accuracy in facial detection. The system marks employee attendance in real-time by capturing images of employees entering and exiting through gates, without requiring employees to sign papers, use RFID cards, or biometrics. This makes the system more efficient than conventional methods. It provides accurate attendance records to help with performance monitoring and payroll processing.
This document describes an e-attendance manager system that was developed to manage student and faculty attendance electronically for educational institutions. It uses a multi-tier architecture with layers for the presentation, service, business, and data access layers. The system allows administrators to manage attendance across multiple institutions from one place. It provides secure login functionality for students, faculty and administrators. The system is expected to reduce human effort in attendance management tasks and make the process more efficient.
This document describes a wireless fingerprint attendance system that was designed to automatically record student attendance using fingerprint identification. The system uses a fingerprint sensor module connected to a computer via a Zigbee wireless network. Students register their fingerprints initially. When attending a lecture, they place their finger on the sensor to be identified and have their attendance marked electronically and automatically. The system aims to eliminate the disadvantages of traditional paper-based attendance tracking systems. It provides a low-cost and efficient automatic solution for recording attendance.
The document describes a proposed UID secure travel identity system that would provide Indian citizens with a unique identification number linked to biometric data. This would allow citizens to apply for a passport or driver's license digitally without agents. It would also let law enforcement view citizen data and notify airports if someone is not allowed to travel. The system would integrate various government departments and applications into a single platform to streamline processes and reduce delays. It analyzes the limitations of existing systems and outlines the features and methodology of the proposed centralized UID system to provide a digital identity for all government transactions.
IRJET- Review Paper of Design and Implementation of an Intelligent Biomet...IRJET Journal
This document summarizes previous research on designing an intelligent biometric attendance system using IoT. It discusses how previous systems used RFID or fingerprint biometrics to automate attendance tracking but had issues like students using other students' cards or slow fingerprint matching. The document then proposes a new hybrid system that uses both fingerprint biometrics and IoT to address these issues. It suggests capturing fingerprints using a sensor and securely storing data in the cloud for real-time attendance tracking from anywhere. This would allow automated attendance without risks of fraud or manual errors while providing flexibility and remote access to attendance records.
This project proposal outlines a facial recognition-based attendance system for educational institutions. It aims to address issues with previous manual attendance systems by developing an automated system using facial recognition technology. The system will accurately record attendance faster than manual systems, securely store attendance data in a database, and allow parents access to their child's attendance records. It will reduce errors, save time, and provide a more convenient and secure attendance management solution.
Employee record for admin application using android smartphoneIRJET Journal
This document describes an employee monitoring system that uses Android smartphones. The system allows managers to monitor employee phone use, including calls, messages, location via GPS. It stores call logs, messages, and location updates on a centralized server. Managers can log into the server to view employee phone activity details. The system is designed to help managers screen employees and avoid misuse of company phones. It uses Android phones for employees and sends alerts to managers via SMS. The literature review discusses previous research on similar employee monitoring systems using Android phones and GPS tracking of employees.
This document describes a facial recognition-based attendance system project created by three students. The project aims to build an automated attendance monitoring system using facial recognition technology to address issues with the previous manual system, such as inaccurate attendance tracking. The new system can recognize faces of up to 2,000 individuals and records attendance data directly into a database and Excel file. It provides convenience to the educational institution by automating attendance tasks.
IRJET-Securing Electronic Health Records using BlockchainIRJET Journal
This document proposes using blockchain technology to secure electronic health records (EHRs). It discusses how blockchain can give patients ownership and control over their EHRs, allowing them to share records between different healthcare providers. The document outlines a system design where EHRs are stored on a blockchain network with different actors like administrators, data owners, users and auditors. It also describes the file transfer, block creation and file download processes that would allow patients secure access to their distributed EHRs using a ring signature and attribute-based signature scheme.
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
IRJET- Student Attendance Tracking System using BiometricsIRJET Journal
This document describes a student attendance tracking system that uses fingerprint biometrics. It begins with an abstract that outlines how biometric identification systems are widely used for unique human identification. The proposed system would use fingerprint recognition to automate the attendance tracking process. It would record student attendance data based on their registered fingerprints through a graphical user interface. The system is designed to make attendance tracking more efficient and automated for colleges and schools. It then discusses the existing manual attendance tracking system and limitations. The proposed biometric system would address these limitations by marking attendance only for present students, reducing proxy attendance issues. It provides details on the system design, including architectural design using a three-tier architecture, data flow diagrams, and potential future enhancements like mobile
This document summarizes a research paper that proposes a phishing detector plugin called PHISCAN that uses machine learning to detect phishing websites. The plugin is developed for the Chrome browser using JavaScript and HTML. It extracts features from URLs to train classifiers like random forest that can accurately classify URLs as phishing or benign in less than a second while maintaining user privacy. The paper conducts a literature review of existing phishing detection systems and techniques using blacklists, heuristics, or machine learning. It motivates the need for the proposed plugin by discussing the increasing prevalence and sophistication of phishing attacks.
IRJET- Smart Mobile Attendance System using Bluetooth TechnologyIRJET Journal
This document proposes a smart mobile attendance system using Bluetooth technology. It aims to simplify and streamline the attendance monitoring process. The system uses Bluetooth on mobile phones and an app to mark attendance and track employees within a company premises. It identifies Bluetooth and databases as tools to efficiently store and retrieve employee and student records for evaluation purposes. The proposed framework generates a one-time password for added security and prevents proxy attendance. It discusses using this system for university student attendance, making the process quicker, more secure, and fully digital while eliminating forgery risks compared to traditional manual attendance marking.
A comparative analysis of Iris data compressionIJSRED
This document provides an overview of the Aadhar identification system used in India. It discusses how Aadhar collects and stores biometric data like iris scans and fingerprints. It also describes the different processes involved, including enrollment where biometric data is collected, feature extraction and template generation, matching against stored templates for identification or verification, and storing templates in a database. The document also reviews several research papers on topics like iris recognition and compression, and the use of techniques like Huffman coding.
Wireless Student Attendance System using Fingerprint Sensorijtsrd
Nowadays accurate personal identification is becoming more and more important. Usual means smart cards, passwords… have shown their limits. Currently fingerprint recognition is the most widely used technique for personal identification. The development of an attendance management system using biometrics is proposed. As the manual method of attendance system produced errors and taking lot of time during lecture period, an efficient and organized biometrics system for students attendance is purposed. The electronic system not only used to take attendance for the students, but a database is also mentioned to store all the information which can be manipulated further in future. Optical fingerprint sensor will make adding fingerprint detection and verification super simple.This type of verification is widely used in various aspects of life for different purposes, like in security, police identification, etc. Node MCU is used which provides the wireless communication. It also send the attendance report to PC. In this system, there are two parts, one is transmitter and another is receiver. In transmitter module, there is a Liquid Crystal Display LCD , Arduino UNO, transmitter. In receiver module, Node MCU is mainly used. The resultant message will show on LCD. Yu Maw Win | Saw Aung Nyein Oo ""Wireless Student Attendance System using Fingerprint Sensor"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd25157.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25157/wireless-student-attendance-system-using-fingerprint-sensor/yu-maw-win
IRJET- Free & Generic Facial Attendance System using AndroidIRJET Journal
This document proposes a free and generic facial attendance system using Android that can automatically detect students' faces and mark attendance. It uses face detection and recognition algorithms to capture images from a camera and identify students by matching faces to a database. If a face is detected, attendance is marked as present. The system then creates a Google Sheet to store and access attendance records. This provides a low-cost alternative to commercial biometric systems for tracking student attendance.
1. The document describes an IoT-based student attendance system that uses fingerprint recognition to identify students and automatically record attendance in real-time.
2. The system uses an ESP8266 microcontroller connected to WiFi to send student fingerprint IDs to a server when scanned. The server then updates attendance records and calculates percentages.
3. Students and teachers can check attendance and assignments in real-time through a mobile app, improving accuracy over traditional paper-based systems while saving time.
IRJET- Automatic Attendance System using Arduino and GSM ModuleIRJET Journal
The document describes an automatic attendance system using Arduino, a fingerprint module, and GSM module. The system aims to address issues with traditional paper-based attendance methods by automating the process. When a student's fingerprint is scanned, it is matched to fingerprints stored in the system. A message is then sent via GSM to notify parents if the student's attendance is recorded. The system uses components like Arduino, an LCD display, fingerprint module, and GSM module to automatically identify students, record attendance, and communicate attendance records to parents. It provides benefits like reducing opportunities for cheating, easing the process of tracking attendance, and saving time compared to traditional methods.
"Attendance Management System bridges the effective communication between students, teachers, and parents by keep them notified about their wards' attendance via Email or SMS.
A.T.S.I. offers best biometric attendance management system, face recognition attendance system, fingerprint based attendance system, and RFID based attendance system and gives flexibility to institutions to choose the suitable system for them."
A Smart Receptionist Implementing Facial Recognition and Voice InteractionCSCJournals
The purpose of this research is to implement a smart receptionist system with facial recognition and voice interaction using deep learning. The facial recognition component is implemented using real time image processing techniques, and it can be used to learn new faces as well as detect and recognize existing faces. The first time a customer uses this system, it will take the person’s facial data to create a unique user facial model, and this model will be triggered if the person comes the second time. The recognition is done in real time and after which voice interaction will be applied. Voice interaction is used to provide a life-like human communication and improve user experience. Our proposed smart receptionist system could be integrated into the self check-in kiosks deployed in hospitals or smart buildings to streamline the user recognition process and provide customized user interactions. This system could also be used in smart home environment where smart cameras have been deployed and voice assistants are in place.
Iaetsd future polling system using cloud computing in support with smart clie...Iaetsd Iaetsd
The document proposes a future e-polling system using cloud computing and biometrics. It aims to avoid fake votes by storing voter data in the cloud. Iris recognition is used for authentication. Voters can cast their vote from any location using mobile phones or computers connected to the cloud. However, the cloud relies on internet which may not always be available. Therefore, the system introduces smart client technology which allows local storage and processing of data to enable offline voting. Biometric data is stored both in the cloud and locally using smart clients. This ensures secure authentication and allows voting even without internet.
IRJET- Design and Implementation of an Intelligent Biometric Attendance S...IRJET Journal
This document proposes the design and implementation of an intelligent biometric attendance system using IoT. The system uses fingerprint authentication with an Arduino Uno microcontroller connected to a fingerprint sensor and other components. When attendance is approved by the fingerprint sensor, it is sent to a website where it can be viewed in various ways, such as by date to see who was present on a particular date, or by student ID to view an individual student's attendance percentage and records. The system aims to provide a more efficient and accurate alternative to traditional paper-based attendance methods.
IRJET- Securing E-Medical Documents using QR CodeIRJET Journal
This document discusses securing e-medical documents using QR codes. It proposes a system where hospitals can upload medical records to the cloud with a patient ID. This ID is then converted to a QR code using the QRDroid function. Patients can then scan the QR code to download their medical document. The system aims to securely transmit medical data between hospitals and patients in a paperless manner using encrypted QR codes. It describes modules for user registration, database creation, QR code generation, scanning and file uploading/downloading. The goal is to provide a more secure, flexible and easy way for patients to access medical records electronically.
IRJET - Digital KYC with Auto Form FillingIRJET Journal
This document describes a system for digital KYC verification and automated form filling. The system extracts key information from identity documents using optical character recognition. It stores this in user profiles. When a user needs to fill out a form, the system automatically populates it with the stored information from their profile, eliminating manual form filling. This streamlines the KYC process and makes it paperless and more efficient. The system was created to reduce human errors and make compliance and record keeping easier for organizations.
IRJET-Biostatistics in Indian Banks: An Enhanced Security ApproachIRJET Journal
This document discusses using biometrics like fingerprints for banking security in India. It aims to overcome security problems faced by Indian banks and ensure 100% security by developing a system that uses human fingerprints to verify users and grant access to lockers. The system would work as a mini banking assistant for users. The document reviews biometrics research and discusses fingerprint identification and verification methods like ACE-V. It analyzes the advantages of identification vs verification modes and positive vs negative recognition in biometric systems. The goal is to develop an enhanced security approach for Indian banks using fingerprint biometrics.
This document describes a biometric ear recognition system for user authentication. It discusses using ear images captured during registration and authentication. During registration, a 3D ear image is captured and stored in a database. During authentication, the real-time ear image captured is matched to the stored 3D image using morphological operations and template matching algorithms. The system aims to provide secure authentication using a unique biometric. The document reviews related work on ear recognition techniques and evaluates their performance. It concludes that ear biometrics can provide effective identification comparable to face recognition.
IRJET- Android Application for Training and Placement Cell using Machine ...IRJET Journal
This document describes an Android application that was developed to automate the activities of a university's training and placement cell. The application aims to better manage and support the placement process through coordination between students, alumni, recruiters, and the training and placement officer (TPO). It allows users to register profiles, view job postings and workshops, apply for opportunities, and communicate via a chat forum. The application is intended to address issues with the existing manual system by reducing errors, improving data access and updating, and facilitating improved communication across user types. A prototype of the application demonstrates login and registration screens as well as the intended user interfaces and flow between modules.
An electronic Medical record (EHR) is a of a computerized version of a patient's paper record. Our reality
has been drastically changed by advanced innovation like – PDAs, tablets, and web-empowered gadgets
have changed our day to day lives and the manner in which we impart. Medication is a data rich enterprise.
EHR incorporate the clinical and treatment chronicles of patients, an EHR framework is worked to go past
standard clinical information gathered in a supplier's office and can be a more extensive perspective on a
patient's consideration. Electronic Health Record (EHR) frameworks face issues with respect toinformation
security, honesty and the board. We could execute blockchain innovation to change the EHR frameworks
and could be an answer of these issues. The main goal of our proposed structure is to implement and
execute blockchain innovation for EHR and furthermore to give secure capacity of electronic records by
characterizing granular access rules for the clients of the proposed framework. Thus this structure furnishes
the EHR framework with the advantages of having a versatile, secure and necessary integral chain-based
arrangement
IRJET- Face Recognition based Attendance System using Raspberry PiIRJET Journal
This document describes a face recognition based attendance system using Raspberry Pi. It uses a Raspberry Pi connected to a camera to take photos of students' faces and compare them to a database of stored student photos to mark attendance automatically. Principal component analysis is used for face recognition with high accuracy. The system aims to automate the manual attendance marking process, which is time-consuming and error-prone. It stores student details like ID, name, department in a database along with multiple photos of each student. Faces detected in class are matched to the database to mark attendance accurately. The system was tested and showed improved performance over manual attendance systems.
Face Recognition based Smart Attendance System Using IoTIRJET Journal
This document describes a face recognition-based smart attendance system using IoT. The system uses a Raspberry Pi connected to a webcam to take pictures of students' faces as they enter the classroom. It then applies face detection and recognition techniques to identify the students and mark them as present in an Excel attendance sheet along with their details. The system aims to automate attendance taking and eliminate issues like proxy attendance. It stores student data and images to create a dataset, which it then uses for real-time face recognition and attendance marking as students' faces are detected by the webcam. The results show this system can accurately and efficiently automate attendance taking in a contactless manner.
IRJET-Securing Electronic Health Records using BlockchainIRJET Journal
This document proposes using blockchain technology to secure electronic health records (EHRs). It discusses how blockchain can give patients ownership and control over their EHRs, allowing them to share records between different healthcare providers. The document outlines a system design where EHRs are stored on a blockchain network with different actors like administrators, data owners, users and auditors. It also describes the file transfer, block creation and file download processes that would allow patients secure access to their distributed EHRs using a ring signature and attribute-based signature scheme.
Biometric authentication is one of the most popular and accurate technology. Now a days, it is used in many real time applications. However, recognizing finger prints in Linux based embedded computers (raspberry pi) is still a very complex problem. This entire work is done on the Linux based embedded computer called raspberry pi, in which database creation, fingerprint reader access, authentication and recognition using python were entirely done on raspberry pi This paper discusses on the standardized authentication model which is capable of extracting the finger prints of individual and store that in database . Then the use of final finger print to match with others in finger prints present in the database to show the capability of this model and also updating the database obtained to the organisation by creating an application through cloud. Pradeep Kumar M S | Dr. K. Suresh | Indumati T | Kishor kumar R"Smart Attendance System using Raspberry Pi" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2306.pdf http://www.ijtsrd.com/computer-science/bioinformatics/2306/smart-attendance-system-using-raspberry-pi/pradeep-kumar-m-s
IRJET- Student Attendance Tracking System using BiometricsIRJET Journal
This document describes a student attendance tracking system that uses fingerprint biometrics. It begins with an abstract that outlines how biometric identification systems are widely used for unique human identification. The proposed system would use fingerprint recognition to automate the attendance tracking process. It would record student attendance data based on their registered fingerprints through a graphical user interface. The system is designed to make attendance tracking more efficient and automated for colleges and schools. It then discusses the existing manual attendance tracking system and limitations. The proposed biometric system would address these limitations by marking attendance only for present students, reducing proxy attendance issues. It provides details on the system design, including architectural design using a three-tier architecture, data flow diagrams, and potential future enhancements like mobile
This document summarizes a research paper that proposes a phishing detector plugin called PHISCAN that uses machine learning to detect phishing websites. The plugin is developed for the Chrome browser using JavaScript and HTML. It extracts features from URLs to train classifiers like random forest that can accurately classify URLs as phishing or benign in less than a second while maintaining user privacy. The paper conducts a literature review of existing phishing detection systems and techniques using blacklists, heuristics, or machine learning. It motivates the need for the proposed plugin by discussing the increasing prevalence and sophistication of phishing attacks.
IRJET- Smart Mobile Attendance System using Bluetooth TechnologyIRJET Journal
This document proposes a smart mobile attendance system using Bluetooth technology. It aims to simplify and streamline the attendance monitoring process. The system uses Bluetooth on mobile phones and an app to mark attendance and track employees within a company premises. It identifies Bluetooth and databases as tools to efficiently store and retrieve employee and student records for evaluation purposes. The proposed framework generates a one-time password for added security and prevents proxy attendance. It discusses using this system for university student attendance, making the process quicker, more secure, and fully digital while eliminating forgery risks compared to traditional manual attendance marking.
A comparative analysis of Iris data compressionIJSRED
This document provides an overview of the Aadhar identification system used in India. It discusses how Aadhar collects and stores biometric data like iris scans and fingerprints. It also describes the different processes involved, including enrollment where biometric data is collected, feature extraction and template generation, matching against stored templates for identification or verification, and storing templates in a database. The document also reviews several research papers on topics like iris recognition and compression, and the use of techniques like Huffman coding.
Wireless Student Attendance System using Fingerprint Sensorijtsrd
Nowadays accurate personal identification is becoming more and more important. Usual means smart cards, passwords… have shown their limits. Currently fingerprint recognition is the most widely used technique for personal identification. The development of an attendance management system using biometrics is proposed. As the manual method of attendance system produced errors and taking lot of time during lecture period, an efficient and organized biometrics system for students attendance is purposed. The electronic system not only used to take attendance for the students, but a database is also mentioned to store all the information which can be manipulated further in future. Optical fingerprint sensor will make adding fingerprint detection and verification super simple.This type of verification is widely used in various aspects of life for different purposes, like in security, police identification, etc. Node MCU is used which provides the wireless communication. It also send the attendance report to PC. In this system, there are two parts, one is transmitter and another is receiver. In transmitter module, there is a Liquid Crystal Display LCD , Arduino UNO, transmitter. In receiver module, Node MCU is mainly used. The resultant message will show on LCD. Yu Maw Win | Saw Aung Nyein Oo ""Wireless Student Attendance System using Fingerprint Sensor"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019,
URL: https://www.ijtsrd.com/papers/ijtsrd25157.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25157/wireless-student-attendance-system-using-fingerprint-sensor/yu-maw-win
IRJET- Free & Generic Facial Attendance System using AndroidIRJET Journal
This document proposes a free and generic facial attendance system using Android that can automatically detect students' faces and mark attendance. It uses face detection and recognition algorithms to capture images from a camera and identify students by matching faces to a database. If a face is detected, attendance is marked as present. The system then creates a Google Sheet to store and access attendance records. This provides a low-cost alternative to commercial biometric systems for tracking student attendance.
1. The document describes an IoT-based student attendance system that uses fingerprint recognition to identify students and automatically record attendance in real-time.
2. The system uses an ESP8266 microcontroller connected to WiFi to send student fingerprint IDs to a server when scanned. The server then updates attendance records and calculates percentages.
3. Students and teachers can check attendance and assignments in real-time through a mobile app, improving accuracy over traditional paper-based systems while saving time.
IRJET- Automatic Attendance System using Arduino and GSM ModuleIRJET Journal
The document describes an automatic attendance system using Arduino, a fingerprint module, and GSM module. The system aims to address issues with traditional paper-based attendance methods by automating the process. When a student's fingerprint is scanned, it is matched to fingerprints stored in the system. A message is then sent via GSM to notify parents if the student's attendance is recorded. The system uses components like Arduino, an LCD display, fingerprint module, and GSM module to automatically identify students, record attendance, and communicate attendance records to parents. It provides benefits like reducing opportunities for cheating, easing the process of tracking attendance, and saving time compared to traditional methods.
"Attendance Management System bridges the effective communication between students, teachers, and parents by keep them notified about their wards' attendance via Email or SMS.
A.T.S.I. offers best biometric attendance management system, face recognition attendance system, fingerprint based attendance system, and RFID based attendance system and gives flexibility to institutions to choose the suitable system for them."
A Smart Receptionist Implementing Facial Recognition and Voice InteractionCSCJournals
The purpose of this research is to implement a smart receptionist system with facial recognition and voice interaction using deep learning. The facial recognition component is implemented using real time image processing techniques, and it can be used to learn new faces as well as detect and recognize existing faces. The first time a customer uses this system, it will take the person’s facial data to create a unique user facial model, and this model will be triggered if the person comes the second time. The recognition is done in real time and after which voice interaction will be applied. Voice interaction is used to provide a life-like human communication and improve user experience. Our proposed smart receptionist system could be integrated into the self check-in kiosks deployed in hospitals or smart buildings to streamline the user recognition process and provide customized user interactions. This system could also be used in smart home environment where smart cameras have been deployed and voice assistants are in place.
Iaetsd future polling system using cloud computing in support with smart clie...Iaetsd Iaetsd
The document proposes a future e-polling system using cloud computing and biometrics. It aims to avoid fake votes by storing voter data in the cloud. Iris recognition is used for authentication. Voters can cast their vote from any location using mobile phones or computers connected to the cloud. However, the cloud relies on internet which may not always be available. Therefore, the system introduces smart client technology which allows local storage and processing of data to enable offline voting. Biometric data is stored both in the cloud and locally using smart clients. This ensures secure authentication and allows voting even without internet.
IRJET- Design and Implementation of an Intelligent Biometric Attendance S...IRJET Journal
This document proposes the design and implementation of an intelligent biometric attendance system using IoT. The system uses fingerprint authentication with an Arduino Uno microcontroller connected to a fingerprint sensor and other components. When attendance is approved by the fingerprint sensor, it is sent to a website where it can be viewed in various ways, such as by date to see who was present on a particular date, or by student ID to view an individual student's attendance percentage and records. The system aims to provide a more efficient and accurate alternative to traditional paper-based attendance methods.
IRJET- Securing E-Medical Documents using QR CodeIRJET Journal
This document discusses securing e-medical documents using QR codes. It proposes a system where hospitals can upload medical records to the cloud with a patient ID. This ID is then converted to a QR code using the QRDroid function. Patients can then scan the QR code to download their medical document. The system aims to securely transmit medical data between hospitals and patients in a paperless manner using encrypted QR codes. It describes modules for user registration, database creation, QR code generation, scanning and file uploading/downloading. The goal is to provide a more secure, flexible and easy way for patients to access medical records electronically.
IRJET - Digital KYC with Auto Form FillingIRJET Journal
This document describes a system for digital KYC verification and automated form filling. The system extracts key information from identity documents using optical character recognition. It stores this in user profiles. When a user needs to fill out a form, the system automatically populates it with the stored information from their profile, eliminating manual form filling. This streamlines the KYC process and makes it paperless and more efficient. The system was created to reduce human errors and make compliance and record keeping easier for organizations.
IRJET-Biostatistics in Indian Banks: An Enhanced Security ApproachIRJET Journal
This document discusses using biometrics like fingerprints for banking security in India. It aims to overcome security problems faced by Indian banks and ensure 100% security by developing a system that uses human fingerprints to verify users and grant access to lockers. The system would work as a mini banking assistant for users. The document reviews biometrics research and discusses fingerprint identification and verification methods like ACE-V. It analyzes the advantages of identification vs verification modes and positive vs negative recognition in biometric systems. The goal is to develop an enhanced security approach for Indian banks using fingerprint biometrics.
This document describes a biometric ear recognition system for user authentication. It discusses using ear images captured during registration and authentication. During registration, a 3D ear image is captured and stored in a database. During authentication, the real-time ear image captured is matched to the stored 3D image using morphological operations and template matching algorithms. The system aims to provide secure authentication using a unique biometric. The document reviews related work on ear recognition techniques and evaluates their performance. It concludes that ear biometrics can provide effective identification comparable to face recognition.
IRJET- Android Application for Training and Placement Cell using Machine ...IRJET Journal
This document describes an Android application that was developed to automate the activities of a university's training and placement cell. The application aims to better manage and support the placement process through coordination between students, alumni, recruiters, and the training and placement officer (TPO). It allows users to register profiles, view job postings and workshops, apply for opportunities, and communicate via a chat forum. The application is intended to address issues with the existing manual system by reducing errors, improving data access and updating, and facilitating improved communication across user types. A prototype of the application demonstrates login and registration screens as well as the intended user interfaces and flow between modules.
An electronic Medical record (EHR) is a of a computerized version of a patient's paper record. Our reality
has been drastically changed by advanced innovation like – PDAs, tablets, and web-empowered gadgets
have changed our day to day lives and the manner in which we impart. Medication is a data rich enterprise.
EHR incorporate the clinical and treatment chronicles of patients, an EHR framework is worked to go past
standard clinical information gathered in a supplier's office and can be a more extensive perspective on a
patient's consideration. Electronic Health Record (EHR) frameworks face issues with respect toinformation
security, honesty and the board. We could execute blockchain innovation to change the EHR frameworks
and could be an answer of these issues. The main goal of our proposed structure is to implement and
execute blockchain innovation for EHR and furthermore to give secure capacity of electronic records by
characterizing granular access rules for the clients of the proposed framework. Thus this structure furnishes
the EHR framework with the advantages of having a versatile, secure and necessary integral chain-based
arrangement
IRJET- Face Recognition based Attendance System using Raspberry PiIRJET Journal
This document describes a face recognition based attendance system using Raspberry Pi. It uses a Raspberry Pi connected to a camera to take photos of students' faces and compare them to a database of stored student photos to mark attendance automatically. Principal component analysis is used for face recognition with high accuracy. The system aims to automate the manual attendance marking process, which is time-consuming and error-prone. It stores student details like ID, name, department in a database along with multiple photos of each student. Faces detected in class are matched to the database to mark attendance accurately. The system was tested and showed improved performance over manual attendance systems.
Face Recognition based Smart Attendance System Using IoTIRJET Journal
This document describes a face recognition-based smart attendance system using IoT. The system uses a Raspberry Pi connected to a webcam to take pictures of students' faces as they enter the classroom. It then applies face detection and recognition techniques to identify the students and mark them as present in an Excel attendance sheet along with their details. The system aims to automate attendance taking and eliminate issues like proxy attendance. It stores student data and images to create a dataset, which it then uses for real-time face recognition and attendance marking as students' faces are detected by the webcam. The results show this system can accurately and efficiently automate attendance taking in a contactless manner.
IRJET- IoT based Facial Recognition Biometric AttendanceIRJET Journal
1. The document proposes an IoT-based facial recognition system for automated student attendance marking using a Raspberry Pi.
2. The system uses a web camera to capture student faces, detects faces in images using Haar cascades, encodes faces using Local Binary Patterns (LBP), and recognizes faces to mark attendance in a database.
3. By automating attendance marking through facial recognition, the proposed system aims to save time compared to manual methods, eliminate proxy attendance issues, and mark attendance periodically in classes without disruption.
This document presents a proposed automated attendance management system using face recognition. The system would use machine learning algorithms and deep learning approaches to recognize students' faces from images and track attendance. It discusses how face recognition works, including face detection, alignment, feature extraction, and recognition. It reviews similar existing systems and their limitations. The document tests several machine learning algorithms on their dataset and finds that an SVM classifier achieves the highest accuracy of 99.3%. Results are presented showing the system labeling and recognizing faces to mark attendance. The system aims to automate the attendance process to ease the burden on teachers, especially in online learning settings.
IRJET- A Study on Automated Attendance System using Facial RecognitionIRJET Journal
The document discusses an automated attendance system using facial recognition. It begins with an introduction to facial recognition and the motivation for developing an automated attendance system. It then reviews previous work on facial recognition algorithms such as PCA, Viola-Jones, and neural networks. The proposed system is described as using SVM on LBP features for facial recognition due to its high accuracy. Key advantages of the proposed system include being cost-efficient, easy to deploy, and preventing time fraud. The document concludes facial recognition can effectively automate attendance tracking in educational or commercial organizations.
ANDROID BASED ADVANCED ATTENDANCE VIGILANCE SYSTEM USING WIRELESS NETWORK WIT...IRJET Journal
This document proposes an advanced attendance system using Android smartphones, biometric fingerprint authentication, and wireless networks.
It summarizes the limitations of existing manual and biometric-only systems, then describes a new system where the entire workplace functions as a WiFi hotspot. Employees must connect their Android smartphones to register attendance, and the system tracks how long they remain connected to determine time spent at the workplace. Fingerprint authentication is also used to ensure individual identity.
The system aims to more accurately track employee presence compared to existing solutions, by requiring both biometric login and wireless connection to the workplace network. It could benefit organizations by reducing attendance fraud while streamlining the process.
Fingerprint Based Attendance System by IOTIRJET Journal
This document summarizes a research paper that proposes a fingerprint-based attendance system using Internet of Things (IoT) technology. The system uses a NodeMCU microcontroller, fingerprint sensor module, and Google Sheets to record student attendance via fingerprint scans. Fingerprint data is uploaded securely to the cloud server in Google Sheets. This automated system aims to reduce the inefficiencies of manual attendance recording systems by eliminating fake attendances, saving time, and securely storing attendance data in the cloud. The system implementation involves a fingerprint scanner connected to a microcontroller and WiFi module to upload fingerprint IDs to Google Sheets in real-time.
Hostel Mess Attendance Management System using WifiIRJET Journal
This document describes a hostel mess attendance management system that was developed using WiFi. The system aims to automate the traditional paper-based process for tracking student attendance at the hostel mess. It discusses the various modules of the system including modules for students, administrators, mess management, and mess secretaries. The key features allow students to check menus, make attendance entries, view notices, and request guests. Administrators can manage student data, select menus, post notices, and view attendance and other reports. The system was designed to reduce the workload of managing hostel mess attendance manually while making the process more efficient and user-friendly through computerization and a web-based interface.
IRJET- Face Recognition based Mobile Automatic Classroom Attendance Manag...IRJET Journal
This document proposes a face recognition-based mobile automatic classroom attendance management system that does not require any extra equipment. It uses a filtering system based on Euclidean distances calculated using three face recognition techniques (Eigenfaces, Fisherfaces, and Local Binary Pattern) for face recognition. The proposed system includes mobile applications for teachers, students, and parents to manage attendance in real-time. It was tested among students and produced satisfactory results. The system aims to make attendance taking more efficient and less prone to errors compared to traditional paper-based methods.
A VISUAL ATTENDANCE SYSTEM USING FACE RECOGNITIONIRJET Journal
This document describes a visual attendance system using face recognition. The system was created to make the traditional paper-based attendance process more efficient and less prone to errors. It uses computer vision and face recognition techniques, including the RetinaFace and Arcnet algorithms, to detect and identify students' faces from video feeds or images taken in the classroom. When taking attendance, the system captures photos of students present and searches its database of student faces to automatically record attendance without disrupting the class. The document discusses the methodology and system structure, including face detection, face recognition modeling, and an overall workflow flowchart. It aims to provide an improved digital solution for tracking attendance at universities and colleges.
Attendance System using Face RecognitionIRJET Journal
This document describes a proposed attendance system that uses face recognition technology. It begins with an introduction to traditional attendance methods and their limitations. It then discusses the proposed system, which would use face detection and recognition algorithms to automatically mark student attendance from webcam images. Specifically, it would use the Haar cascade algorithm for face detection and KNN (k-nearest neighbors) for face recognition. The document outlines the system design, including an enrollment process to store student face data and an attendance marking process to recognize students in real-time. It suggests this system could automate attendance in a more secure, reliable and time-efficient way compared to traditional methods.
Smart Student Monitoring System using RFIDIRJET Journal
The document proposes a smart student monitoring system using RFID technology to automate attendance tracking, manage student marks, provide notifications, and allow faculty to view timetables. The system uses RFID tags, a reader, Arduino, and Bluetooth to identify students and display their information on an app. Periodic snapshots would also be taken to monitor classes and ensure students are accounted for.
IRJET- Real Time Attendance System using Face RecognitionIRJET Journal
This document describes a real-time attendance system using face recognition. The system aims to automate the attendance marking process by using image processing techniques like face detection and face recognition. It consists of five modules: image capturing, database creation, face detection, preprocessing, and face recognition and classification. Faces detected in images are compared to stored images in the database to identify students and mark their attendance automatically. This reduces time spent on manual attendance marking and helps ensure accurate attendance records.
Automated attendance system using Face recognitionIRJET Journal
This document describes an automated attendance system using face recognition. The system uses image capture to take photos of students entering the classroom. It then uses the Viola-Jones algorithm for face detection and PCA for feature selection and SVM for classification to recognize students' faces and mark their attendance automatically. When compared to traditional attendance methods, this system saves time and helps monitor students. It discusses related work using RFID, fingerprints, and iris recognition for attendance systems. It outlines the proposed system's modules for image capture, face detection, preprocessing, database development, and postprocessing. Finally, it discusses results, conclusions, and opportunities for future work to improve recognition rates under various conditions.
IRJET- Embedded System for Automatic Door Access using Face Recognition Te...IRJET Journal
This document describes a proposed system for an automatic door access system using face recognition, embedded systems, and cloud-based services. The system uses a Raspberry Pi connected to a camera to perform face detection and recognition on captured images using algorithms like HOG and SVM classification. Recognized faces are matched to stored images to identify users. If an authorized user is identified, a servo motor connected to the Raspberry Pi will open the door and a notification will be sent via cloud services to mobile devices. The system aims to provide automated and remote security and access control for homes using interdisciplinary techniques from computer vision, embedded systems, and cloud computing.
IRJET- Attendance Management System using Real Time Face RecognitionIRJET Journal
This document proposes an attendance management system using real-time face recognition. The system uses computer vision algorithms like face detection and recognition to automatically detect students attending a lecture without interfering with the teaching process. It aims to provide a more efficient and detailed attendance reporting system. The system architecture involves capturing images of the classroom, detecting faces, recognizing the faces by comparing them to a database of student photos, and updating the attendance register. The system could help increase education quality by ensuring more accurate tracking of student attendance.
IRJET- Human Activity Recognition using Smartphone SensorsIRJET Journal
1. The document describes a human activity recognition system developed by researchers that uses smartphone sensors to recognize activities like walking, running, cycling and still.
2. The system was developed as an Android application using machine learning and connects to a database through XAMP server to display the accuracy of recognized user activities.
3. The application collects sensor data from the phone's accelerometer, gyroscope and other sensors to recognize activities without needing additional wearable devices. It aims to improve the accuracy of activity recognition compared to other systems.
IRJET- Survey on Development of Fingerprint Biometric Attendance Management S...IRJET Journal
The document discusses a proposed smart attendance management system that integrates fingerprint biometric authentication with wireless connectivity. The system uses an Android mobile application to register users and record their attendance through fingerprint scans. It ensures employees are physically present at work by only allowing attendance checks when the mobile device is connected to the organization's wireless router. This prevents employees from falsely checking in without remaining on-site. The system aims to reduce costs compared to traditional fingerprint scanners while providing increased portability and convenience through the use of mobile phones and wireless technology.
Attendance System Using Fingerprint Identification With Website Designing And...IRJET Journal
This document describes the design and implementation of an attendance tracking system using fingerprint identification for students at an academic institution. The system uses a fingerprint sensor to record student attendance by matching fingerprints to stored templates. Attendance data is stored on a server and can be accessed online by parents through a designed website. The system aims to automate and streamline attendance tracking compared to a manual paper-based system. It allows real-time monitoring of student attendance and notifying parents through SMS or the online portal.
Employment Performance Management Using Machine LearningIRJET Journal
This document discusses using machine learning techniques to analyze employee performance. Specifically, it proposes using a support vector machine (SVM) algorithm to identify employee performance based on factors like quality, timeliness, and cost. The document reviews related literature on using both traditional and data-driven approaches to performance assessment. It then outlines the proposed system for building a software tool to manage employee performance data using SVM. Key steps in the SVM algorithm are described. The document concludes that improving individual performance can boost business results and SVM is effective for differentiating between two groups of data.
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Design and optimization of ion propulsion dronebjmsejournal
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.