This document describes a proposed Internet of Things (IoT)-based attendance tracking system that uses fingerprint recognition. The system would use a fingerprint sensor connected to an Arduino board to collect attendance data via fingerprints. The Arduino would send the data via an IoT module to a cloud-based database for secure storage and remote access. A web interface would allow teachers and parents to view attendance records in real-time from any location. The system aims to provide an accurate, convenient and secure way to track attendance digitally while eliminating the need for manual records.
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
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.
Attendance System using Android Integrated Biometric Fingerprint RecognitionIRJET Journal
This document describes the development of an attendance tracking system using fingerprint recognition and an Android application. Key points:
- The system uses a fingerprint scanner to enroll students' fingerprints and store them in a database along with their IDs. When students place their finger on the scanner, it marks them as present by updating the database.
- An Android app was created to allow students and administrators to check attendance records in real-time by accessing the centralized database.
- The system aims to provide a cheaper and more reliable alternative to traditional paper-based attendance tracking while allowing remote attendance monitoring via the app.
- The system was tested on 5 students and 1 teacher, with fingerprint matching being about 100% accurate though some
This document describes an IoT-based attendance monitoring system that uses RFID technology. The system uses RFID cards or tags tied to student identification cards to automatically record attendance when a student swipes their card by an RFID reader. This makes the attendance recording process more efficient, accurate and secure compared to a manual paper-based system. The recorded attendance is also time-stamped using an RTC module. The system is intended to be used in educational institutions, businesses, and government organizations to streamline the attendance monitoring process.
This document is a capstone project report on a biometric attendance system using fingerprint sensing. It discusses the development of such a system using a fingerprint sensor and the NodeMCU ESP8266 microcontroller. The system aims to streamline attendance management, enhance security, and reduce administrative overhead through features like fingerprint authentication, database management, real-time notifications, and scalability. It provides approvals for the project from the relevant authorities and institutions.
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.
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- 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.
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
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.
Attendance System using Android Integrated Biometric Fingerprint RecognitionIRJET Journal
This document describes the development of an attendance tracking system using fingerprint recognition and an Android application. Key points:
- The system uses a fingerprint scanner to enroll students' fingerprints and store them in a database along with their IDs. When students place their finger on the scanner, it marks them as present by updating the database.
- An Android app was created to allow students and administrators to check attendance records in real-time by accessing the centralized database.
- The system aims to provide a cheaper and more reliable alternative to traditional paper-based attendance tracking while allowing remote attendance monitoring via the app.
- The system was tested on 5 students and 1 teacher, with fingerprint matching being about 100% accurate though some
This document describes an IoT-based attendance monitoring system that uses RFID technology. The system uses RFID cards or tags tied to student identification cards to automatically record attendance when a student swipes their card by an RFID reader. This makes the attendance recording process more efficient, accurate and secure compared to a manual paper-based system. The recorded attendance is also time-stamped using an RTC module. The system is intended to be used in educational institutions, businesses, and government organizations to streamline the attendance monitoring process.
This document is a capstone project report on a biometric attendance system using fingerprint sensing. It discusses the development of such a system using a fingerprint sensor and the NodeMCU ESP8266 microcontroller. The system aims to streamline attendance management, enhance security, and reduce administrative overhead through features like fingerprint authentication, database management, real-time notifications, and scalability. It provides approvals for the project from the relevant authorities and institutions.
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.
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- 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.
IRJET-Online Ticket Substantiation using QR Code based Android Application Sy...IRJET Journal
This document presents a proposed mobile application-based attendance system for educational institutes using speech recognition. The current paper-based manual attendance marking system is prone to errors. The proposed system allows teachers to take attendance using a mobile app that converts student speech responses to text using Android speech libraries. Attendance records can then be uploaded to a server for monitoring. The system provides privileges for students, faculty, heads of departments and administrators. It aims to provide an accurate, automated alternative to traditional attendance systems and remove issues like impersonation.
IRJET- Improvisation in the Attendance Supervision Method through RFID ba...IRJET Journal
This document describes a proposed RFID-based student attendance system. The system uses RFID tags and readers to automatically track when students enter and exit classrooms. When a student's RFID tag is scanned at the door, the reader verifies their identity against a database and unlocks the door if valid. An IR sensor inside confirms entry or exit. This automated process aims to improve on manual attendance methods by eliminating errors and wasted time, while also providing administrators with real-time attendance data for grading and analysis. The proposed system architecture involves RFID tags, readers, a database, and IR sensors connected to a microcontroller. Several existing RFID attendance systems and their drawbacks are also reviewed.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
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.
A Review Paper on Emerging Areas and Applications of IoTIRJET Journal
This document reviews emerging areas and applications of the Internet of Things (IoT). It discusses what IoT is and how it is used to automate business processes across industries. Key points include:
- IoT involves connecting physical devices with software/sensors to enable data collection and sharing. This has revolutionized businesses by automating tasks and providing insights.
- Common IoT applications discussed are biomedical (remote patient monitoring, real-time monitoring), mechanical (predictive maintenance), agriculture, automobiles (real-time monitoring, emergency alerts), energy, and traffic regulation.
- The IoT architecture described includes devices, an internet gateway for data preprocessing, edge/fog computing for rapid analysis, and
Remote surveillance system for mobile applicationAlexander Decker
This document discusses remote video surveillance systems for mobile applications. It begins with an abstract describing remote video surveillance and its common uses. It then discusses the need for a software-based system to allow users to access surveillance devices from any remote location via a standard platform like a web portal or mobile device. The document outlines several key performance objectives for such a system, including high bandwidth video streaming, accessing surveillance device functions remotely, compressing captured images to reduce delays, and providing advanced user-friendly features. It reviews existing surveillance systems and their limitations. Finally, it covers various types of surveillance technologies in use, such as computer, telephone, camera and biometric surveillance.
IRJET - Effective Authentication of Medical IoT Devices using Authentication ...IRJET Journal
This document proposes a new technique for securing medical IoT devices that collects sensitive patient data. It involves using a Kerberos-like authentication server as a central hub that IoT devices connect to over an intranet, rather than connecting directly to an online database. The IoT devices will encrypt sensor data using Elliptic Curve Digital Signature Algorithm (ECDSA) before sending it to the authentication server. The server will decrypt and validate the digital signature before uploading valid data to the online database. This helps prevent man-in-the-middle and replay attacks while only allowing authorized users access to the medical data and devices based on access privileges.
IRJET- Authorization for Wearable Biomedical Gadgets Monitoring SystemIRJET Journal
This document summarizes a research paper that proposes a user authorization system for wearable biomedical monitoring devices and cloud computing. Key points:
1. The system aims to securely store medical data collected from wearable sensors in the cloud, while allowing authorized access.
2. It uses mutual authentication between the user, wearable sensors, and cloud to establish secure communication and session keys.
3. Security models and tools like Real-Or-Random and AVISPA are used to analyze the security of medical data and prevent attacks.
This document describes a fingerprint-based folder locking system that aims to improve upon traditional password-based authentication. It discusses the drawbacks of password systems, such as the need to remember passwords and the risk of passwords being cracked. The proposed system uses fingerprint authentication to unlock private files. It involves capturing a user's fingerprint using a scanner, generating a unique ID, and allowing the user to lock and unlock files associated with their fingerprint ID. The system chunks large files for more efficient processing and uses multiple fingerprint matches for verification. This multimodal biometric approach provides another layer of security compared to passwords alone. The system aims to make file access more secure and convenient by replacing the risks of password authentication with fingerprint identification.
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.
Student Attendance Management System by Using Fingerprint ReaderIRJET Journal
The document presents a student attendance management system that uses fingerprint recognition to address issues with traditional manual attendance tracking methods. The system aims to streamline the attendance process, minimize errors, and enhance security by leveraging biometric technology. It employs fingerprint scans to uniquely identify each student and record attendance accurately while eliminating proxy attendance. The proposed methodology outlines developing the system by defining requirements, designing the architecture and interface, collecting and recognizing fingerprints, integrating hardware and software, testing functionality and security, and backing up data for recovery.
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This document presents an eye tracking system for password authentication using machine learning. It aims to overcome shoulder surfing attacks by allowing users to enter passwords using their eye movements instead of a keyboard. The system detects the user's eye pupil location using a Haar cascade algorithm and measures the distance between the eye center and pupil to determine if the user is looking left, right, or center. Numbers are displayed on screen and the user selects them by focusing on them with their eyes. The entered password is compared to a trained dataset and access is allowed only if it matches. This gaze-based authentication method leaves no trace of the password and makes it difficult for observers to steal authentication information through shoulder surfing.
IRJET- Multifactor Authentication in IoT Devices for Ensuring Secure Cloud St...IRJET Journal
This document proposes using multifactor authentication and encryption to improve security for IoT devices and cloud storage in smart banking. It discusses challenges with IoT and cloud security and proposes a solution that uses multifactor authentication through a mobile app to access IoT devices and encrypted cloud storage. The multifactor authentication would include passwords, one-time passwords by SMS, and fingerprint biometrics. Data transmitted from IoT devices to the cloud would be encrypted using AES encryption. This approach aims to securely authenticate users and protect sensitive banking and transaction data.
IRJET - IoT based Portable Attendance SystemIRJET Journal
This document describes the design and implementation of a portable IoT-based fingerprint attendance system. The system uses a fingerprint sensor module connected to a NodeMCU ESP8266 microcontroller to scan and identify fingerprints. Registered user fingerprints and attendance data are stored in a Firebase database in the cloud. When a fingerprint is scanned, it is matched to the database to mark the user as present. An OLED display shows the user name. This system provides a wireless, portable alternative to traditional paper-based attendance methods that saves time and prevents fake attendance issues. It accurately tracks attendance using biometric fingerprint identification and IoT connectivity.
IRJET- Home Automation using IoT: ReviewIRJET Journal
This document summarizes research on using Internet of Things (IoT) technology for home automation and security. It discusses how IoT allows devices in the home to be controlled remotely through a smartphone app and can automate tasks. The document also reviews different approaches others have taken to implement smart home security systems using sensors and microcontrollers connected to the Internet. It describes the typical architecture of an IoT system including sensor, network, and application layers. Finally, it summarizes several research papers on developing smart home and kitchen monitoring systems using technologies like Arduino, Raspberry Pi, and sensors for functions like detecting fires, gas leaks, and intruders.
IRJET - Android based Secure and Smart Home Application using IoTIRJET Journal
This document proposes an Android-based smart home application that uses Internet of Things (IoT) technology to remotely control home security and appliances. The system uses a central raspberry pi device connected to the internet to communicate with sensors and devices in the home. An Android application allows authorized users to monitor and control the home security system and devices from anywhere. The system aims to provide an affordable and expandable smart home solution that improves security and allows remote control and automation of home functions and appliances.
IRJET - IoT based Vehicle Tracking SystemIRJET Journal
This document describes an IoT-based vehicle tracking system that uses GPS and wireless communication technologies.
The system uses sensors including GPS, temperature, fuel level and speed sensors connected to an Arduino microcontroller. The Arduino collects and sends the sensor data to an IoT platform called Thingsboard using a WiFi module. Thingsboard creates real-time dashboards displaying the live location of the vehicle on a map along with other sensor readings.
Compared to other vehicle tracking systems, this system provides accurate speed and fuel level readings in addition to live location. It is intended to help efficiently monitor vehicle fleets for companies like Uber and Ola. The system could also potentially send alerts in cases of accidents or theft
Our day-to-day lives are filled with situations
where we need to prove who we are; may it be for personal
reasons or as part of your profession. Locks are to be opened,
e-mail accounts are to be accessed and purchases are to be
made – but only by the person correctly authorized to do so.
This document describes a smart attendance system using RFID technology and IoT. The system uses RFID cards and readers to automatically track when students enter a classroom, providing a more accurate and secure alternative to manual attendance tracking. When a student's RFID card is detected, the reader sends the data to a server where it is processed and sent to an online attendance application. This allows teachers to easily monitor attendance from anywhere using an internet connection. The system aims to reduce manual work and improve visibility of student attendance information in real-time.
IRJET - Door Lock Control using Wireless BiometricIRJET Journal
This document describes a door lock control system that uses wireless biometrics. The system uses fingerprint recognition technology to unlock a door. An Arduino board controls a servo motor that locks and unlocks the door. It communicates wirelessly with an Android application over Bluetooth. When a matching fingerprint is detected by the app, it sends a signal to the Arduino board to unlock the door by turning the servo motor. This provides secure, contactless access to doors without requiring keys. The system aims to provide biometric security access at a lower cost than traditional solutions.
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
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IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
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e-mail accounts are to be accessed and purchases are to be
made – but only by the person correctly authorized to do so.
This document describes a smart attendance system using RFID technology and IoT. The system uses RFID cards and readers to automatically track when students enter a classroom, providing a more accurate and secure alternative to manual attendance tracking. When a student's RFID card is detected, the reader sends the data to a server where it is processed and sent to an online attendance application. This allows teachers to easily monitor attendance from anywhere using an internet connection. The system aims to reduce manual work and improve visibility of student attendance information in real-time.
IRJET - Door Lock Control using Wireless BiometricIRJET Journal
This document describes a door lock control system that uses wireless biometrics. The system uses fingerprint recognition technology to unlock a door. An Arduino board controls a servo motor that locks and unlocks the door. It communicates wirelessly with an Android application over Bluetooth. When a matching fingerprint is detected by the app, it sends a signal to the Arduino board to unlock the door by turning the servo motor. This provides secure, contactless access to doors without requiring keys. The system aims to provide biometric security access at a lower cost than traditional solutions.
Similar to SYSTEM FOR ATTENDANCE TRACKING BASED ON THE INTERNET OF THINGS THAT MAKES USE OF A FINGERPRINT SENSOR ACCESS BY STAFF AND PARENT (20)
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.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELijaia
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
Home security is of paramount importance in today's world, where we rely more on technology, home
security is crucial. Using technology to make homes safer and easier to control from anywhere is
important. Home security is important for the occupant’s safety. In this paper, we came up with a low cost,
AI based model home security system. The system has a user-friendly interface, allowing users to start
model training and face detection with simple keyboard commands. Our goal is to introduce an innovative
home security system using facial recognition technology. Unlike traditional systems, this system trains
and saves images of friends and family members. The system scans this folder to recognize familiar faces
and provides real-time monitoring. If an unfamiliar face is detected, it promptly sends an email alert,
ensuring a proactive response to potential security threats.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Accident detection system project report.pdfKamal Acharya
The Rapid growth of technology and infrastructure has made our lives easier. The
advent of technology has also increased the traffic hazards and the road accidents take place
frequently which causes huge loss of life and property because of the poor emergency facilities.
Many lives could have been saved if emergency service could get accident information and
reach in time. Our project will provide an optimum solution to this draw back. A piezo electric
sensor can be used as a crash or rollover detector of the vehicle during and after a crash. With
signals from a piezo electric sensor, a severe accident can be recognized. According to this
project when a vehicle meets with an accident immediately piezo electric sensor will detect the
signal or if a car rolls over. Then with the help of GSM module and GPS module, the location
will be sent to the emergency contact. Then after conforming the location necessary action will
be taken. If the person meets with a small accident or if there is no serious threat to anyone’s
life, then the alert message can be terminated by the driver by a switch provided in order to
avoid wasting the valuable time of the medical rescue team.
Software Engineering and Project Management - Software Testing + Agile Method...Prakhyath Rai
Software Testing: A Strategic Approach to Software Testing, Strategic Issues, Test Strategies for Conventional Software, Test Strategies for Object -Oriented Software, Validation Testing, System Testing, The Art of Debugging.
Agile Methodology: Before Agile – Waterfall, Agile Development.
Digital Twins Computer Networking Paper Presentation.pptxaryanpankaj78
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...PriyankaKilaniya
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.