Smart Classrooms are technology enhanced classrooms that foster opportunities for teaching and learning by integrating learning technology, such as computers, specialized software, audience response technology, assistive listening devices, networking, and audio/visual capabilities.
A smart classroom uses interactive technology like touch panels, projectors, and speakers to enhance the learning experience. It allows for digital notes, online resources, and communication to make learning more engaging and improve academic performance, though initial costs and teacher training present disadvantages.
The document discusses smart kitchen technologies including smart refrigerators. A smart refrigerator is an Internet-connected appliance that can track inventory, suggest recipes based on contents, and notify users of needed replenishments. It scans food packages with RFID tags. The proposed system uses a microcontroller and load cells to detect movement and notify owners of refrigerator conditions via a mobile app. Other smart kitchen appliances mentioned include smart chopsticks that analyze food oils and an egg minder that tracks egg freshness. The Internet of Things enables connectivity between appliances to automate kitchen tasks.
Smart education a review and future research directionseMadrid network
«Educación Inteligente: revisión y futuras líneas de investigación». A. Carruana Martín, C. Alario Hoyos, C. Delgado Kloos. Universidad Carlos III de Madrid.
Slides from a presentation for the South Australian Department of Education & Childrens’ Development – Luchtime Bytes Series.
WEB meets WORLD
Broadly defined as building connections between the virtual world and physical objects.
The Internet of Things (ioT) is comprised of many different technologies ranging from wireless communication, sensor networks, and various forms of computing to radio frequency identification (RFID)
A smart class is an advanced classroom technology that provides tools and multimedia content for student learning. It involves a computer connected to a projector and interactive whiteboard. The computer screen is projected onto the whiteboard, allowing students to interact with the content directly on the board using a stylus pen or their hands. Popular smart class software and providers in India include Educomp Smart Class and Next Education. The use of digital technologies in smart classrooms has made learning more interactive and helped shift from rote learning to a more engaging experience.
Presentation Smart Home With Home AutomationArifur Rahman
This document provides an overview of a presentation on smart home automation. It discusses how home automation can automate lighting, HVAC, appliances and other systems for improved convenience, comfort, energy efficiency and security. It describes how smart homes can be remotely controlled and monitored, including security, entertainment and information functions. It outlines the various wired and wireless devices used in home automation and popular software options like Linux, Mister House and Heyu. The presentation also includes diagrams of sample home automation architectures and a remote web interface.
The document presents information on smart classrooms. It discusses how smart classrooms use technology like computers, projectors, and smart boards to create new opportunities for electronic and interactive learning. The key benefits highlighted are that smart classrooms make lessons more engaging, attractive, and participatory for students. They also help students learn in a variety of subjects and make teaching a more pleasurable experience. Overall, the document argues that smart classrooms are important for educating children and that their use in classrooms will continue increasing.
Smart dust is a network of tiny sensor-equipped motes that can monitor environmental conditions. Each mote contains sensors, memory, a processor, and a means of communication. They are self-contained and can communicate with each other or a base station depending on the application. While smart dust provides benefits like environmental monitoring and safety applications, challenges remain in minimizing their size and power needs while ensuring privacy and security of the data.
A smart classroom uses interactive technology like touch panels, projectors, and speakers to enhance the learning experience. It allows for digital notes, online resources, and communication to make learning more engaging and improve academic performance, though initial costs and teacher training present disadvantages.
The document discusses smart kitchen technologies including smart refrigerators. A smart refrigerator is an Internet-connected appliance that can track inventory, suggest recipes based on contents, and notify users of needed replenishments. It scans food packages with RFID tags. The proposed system uses a microcontroller and load cells to detect movement and notify owners of refrigerator conditions via a mobile app. Other smart kitchen appliances mentioned include smart chopsticks that analyze food oils and an egg minder that tracks egg freshness. The Internet of Things enables connectivity between appliances to automate kitchen tasks.
Smart education a review and future research directionseMadrid network
«Educación Inteligente: revisión y futuras líneas de investigación». A. Carruana Martín, C. Alario Hoyos, C. Delgado Kloos. Universidad Carlos III de Madrid.
Slides from a presentation for the South Australian Department of Education & Childrens’ Development – Luchtime Bytes Series.
WEB meets WORLD
Broadly defined as building connections between the virtual world and physical objects.
The Internet of Things (ioT) is comprised of many different technologies ranging from wireless communication, sensor networks, and various forms of computing to radio frequency identification (RFID)
A smart class is an advanced classroom technology that provides tools and multimedia content for student learning. It involves a computer connected to a projector and interactive whiteboard. The computer screen is projected onto the whiteboard, allowing students to interact with the content directly on the board using a stylus pen or their hands. Popular smart class software and providers in India include Educomp Smart Class and Next Education. The use of digital technologies in smart classrooms has made learning more interactive and helped shift from rote learning to a more engaging experience.
Presentation Smart Home With Home AutomationArifur Rahman
This document provides an overview of a presentation on smart home automation. It discusses how home automation can automate lighting, HVAC, appliances and other systems for improved convenience, comfort, energy efficiency and security. It describes how smart homes can be remotely controlled and monitored, including security, entertainment and information functions. It outlines the various wired and wireless devices used in home automation and popular software options like Linux, Mister House and Heyu. The presentation also includes diagrams of sample home automation architectures and a remote web interface.
The document presents information on smart classrooms. It discusses how smart classrooms use technology like computers, projectors, and smart boards to create new opportunities for electronic and interactive learning. The key benefits highlighted are that smart classrooms make lessons more engaging, attractive, and participatory for students. They also help students learn in a variety of subjects and make teaching a more pleasurable experience. Overall, the document argues that smart classrooms are important for educating children and that their use in classrooms will continue increasing.
Smart dust is a network of tiny sensor-equipped motes that can monitor environmental conditions. Each mote contains sensors, memory, a processor, and a means of communication. They are self-contained and can communicate with each other or a base station depending on the application. While smart dust provides benefits like environmental monitoring and safety applications, challenges remain in minimizing their size and power needs while ensuring privacy and security of the data.
Ambient intelligence (AmI) refers to digital environments that are aware of a person's presence and context and can respond accordingly. Key aspects of AmI include systems and technologies that are embedded, context-aware, personalized, adaptive, and anticipatory. AmI aims to improve people's quality of life while also benefiting the environment through more efficient energy usage and waste reduction. Some applications of AmI include smart homes, health monitoring, transportation, education, emergency services, and production facilities. However, challenges remain regarding issues like limited sensor battery life, modeling multiple users, self-testing software, and privacy/security concerns.
The document discusses various smart home devices that can help automate and monitor a home, including smoke detectors that provide remote alerts in emergencies, home automation controllers that conveniently control smart devices, and motion sensors that can power electronic devices when motion is detected or monitor energy use. It also mentions smart energy meters, home gateways that connect devices to the internet, and door phones that allow viewing visitors and remotely unlocking doors.
This document describes an eye-gaze communication system that allows disabled individuals to communicate using only their eyes. It discusses the motivation for developing such a system and outlines the basic components and functions. The system works by tracking a user's eye movements to determine what they are looking at on screen. It then allows them to control programs and type using only their eyes. Applications mentioned include word processing, making phone calls, and entertainment. Future enhancements could include making the system portable.
Dr. Pooja Walia discusses smart classrooms and their advantages. A smart classroom uses technology like computers, internet access and multimedia devices to enhance the learning process and increase students' retention of course content. It provides quality education through tools like 3D animated modules and videos. Key characteristics of a smart classroom include adaptive learning, collaborative learning, access to computing devices, performance-based assessments and student-centric learning. Students take responsibility for their own learning. Overall, smart classrooms provide an innovative and interactive learning environment that engages students and helps improve their performance.
The document describes a smart note taker product that allows users to take notes by writing in the air. The notes are sensed and stored digitally. Key features include allowing blind users to write freely, and enabling instructors to write notes during presentations that are broadcast to students. It works using sensors to detect 3D writing motions, which are processed, stored, and can be viewed on a display or sent to other devices. An applet program and database are used to recognize words written in the air and print them. The smart note taker offers advantages over digital pens like ease of use and time savings.
Cellular Neural Networks (CNNs) are a revolutionary computing paradigm that allows for analog parallel processing similar to neural networks but where each processing unit only communicates with its nearest neighbors. CNNs consist of arrays of identical nonlinear dynamic units arranged in a grid where each unit receives input from neighboring units. The CNN Universal Machine (CNN-UM) was the first programmable analog processor array computer with its own language and operating system that was as powerful as a supercomputer for image processing applications. CNNs show promise for applications such as high-speed target recognition, visual inspection, and the development of artificial senses through cheap sensor arrays.
IoT Based Garbage Monitoring System pptRanjan Gupta
1) A group of students presented on an IOT Garbage Monitoring System to help keep cities clean.
2) The system uses ultrasonic sensors and a microcontroller to monitor garbage levels in bins and displays the status on an LCD screen and web page.
3) When fully implemented, the system will help support initiatives like Swachh Bharat Mission by enabling real-time garbage monitoring and efficient collection.
The document discusses brain chip technology, which involves implanting computer chips into the brain to create a brain-computer interface (BCI). It would allow users to control prosthetic limbs or other devices with their thoughts alone. While brain chips may one day help paralyzed patients or allow remote control of devices, the technology is still in early stages and faces challenges like crude current methods, scar tissue formation, and ethical concerns that could prevent further development.
Smart classrooms integrate technology like computers, software, and audiovisual equipment to enhance teaching and learning. Key features include interactive whiteboards, digital slates, document cameras, smart audio, and student tracking systems. The objectives are to advance education, improve understanding, encourage informal learning, and track student participation and progress. Smart classrooms allow for more engaging lessons, communication between teachers and students, and active learning over traditional chalkboard-based classrooms. However, maintaining the technology and training teachers can be costly, and not all schools have access to smart classroom resources.
Smart note taker is a pen that can write in air and store the information in an internal memory chip. It uses displacement sensors to sense the pen's movement and compare the handwriting to letters in its database to store what is written. Notes can then be uploaded and edited on a PC by docking the pen. The smart note taker allows paperless note taking anywhere and saves time over traditional notetaking. However, it has a very high cost which limits its accessibility. It finds applications in presentations, document editing and signatures.
Shivam Chaddha gave a presentation on brain chips. The presentation covered the evolution of brain chips from early experiments in the 1950s to implantable devices today. It discussed technologies like BrainGate that allow paralyzed patients to control prosthetics and computers using only their thoughts. While promising benefits, brain chips also face challenges from technical limitations and safety/ethical concerns that scientists continue working to address. The presentation concluded that brain chip technology has helped patients but does not promise miracles and more research is still needed.
Blue brain technology powerpoint presentations for seminarsbhavanadonthi
The document discusses blue brain technology, which aims to create an artificial brain through computer simulation. The IBM is developing a virtual brain called the Blue Brain to function like the human brain by taking decisions, thinking, responding, and storing memories. Scientists believe that within 30 years it will be possible to scan a human brain into a computer using nanobots, allowing one to upload their intelligence, knowledge, and skills into a virtual brain that could continue functioning as that person even after death. The Blue Brain project uses a supercomputer to simulate 10,000 neurons in an effort to replicate aspects of the human brain's circuitry and memory capabilities.
A Powerpoint Presentation on e-learningAvinandanPal2
Hello, this Powerpoint Presentation discusses about E-learning, its advantages and disadvantages, comparison with Physical classroom learning, what is the solution and how rural students can access them easily.
If the PPT is useful, then like it, follow me and comment about the Presentation. Thank you.
What Is AI: Foundations, History and State of the Art of AI.
Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents.
Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions.
Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning
Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
The document discusses mind reading computers, which use techniques from computer vision, machine learning, and psychology to interpret a person's mental states from their facial expressions and body language in real time. It describes how existing systems work, potential applications like improving human-computer interfaces, and challenges like privacy concerns. Future research may allow mind reading computers to help paralyzed people communicate or monitor brain activity for medical or military purposes if technical and ethical issues can be addressed.
This document presents a smart classroom and student tracking management system. It includes sections that describe the objectives of making learning better and more engaging for students. It also explains key aspects of the system like smart classroom standards that include interactive whiteboards, document cameras, response systems, and audio equipment. The student tracking management system uses RFID readers and tags along with a GSM module and central computer to track student locations and attendance. Benefits of the smart classroom include better instruction tools for teachers and more engaging learning experiences for students.
IRJET- Smart Campus an Android and Web based Application using IoT and NFC Te...IRJET Journal
This document describes a proposed smart campus system that uses Internet of Things (IoT), Near Field Communication (NFC) technology, and face recognition to manage campus activities more efficiently. The system aims to address common problems in campus administration by automating tasks like student attendance tracking, marks reporting, smart teaching, video surveillance, and notifications. It would allow students and faculty to perform activities like accessing classrooms and equipment or purchasing items using their NFC cards and face detection. All user and activity data would be stored securely in the cloud. The system is intended to improve the quality of education and make campus operations more time-efficient through contactless technologies and integrated mobile and web applications.
Ambient intelligence (AmI) refers to digital environments that are aware of a person's presence and context and can respond accordingly. Key aspects of AmI include systems and technologies that are embedded, context-aware, personalized, adaptive, and anticipatory. AmI aims to improve people's quality of life while also benefiting the environment through more efficient energy usage and waste reduction. Some applications of AmI include smart homes, health monitoring, transportation, education, emergency services, and production facilities. However, challenges remain regarding issues like limited sensor battery life, modeling multiple users, self-testing software, and privacy/security concerns.
The document discusses various smart home devices that can help automate and monitor a home, including smoke detectors that provide remote alerts in emergencies, home automation controllers that conveniently control smart devices, and motion sensors that can power electronic devices when motion is detected or monitor energy use. It also mentions smart energy meters, home gateways that connect devices to the internet, and door phones that allow viewing visitors and remotely unlocking doors.
This document describes an eye-gaze communication system that allows disabled individuals to communicate using only their eyes. It discusses the motivation for developing such a system and outlines the basic components and functions. The system works by tracking a user's eye movements to determine what they are looking at on screen. It then allows them to control programs and type using only their eyes. Applications mentioned include word processing, making phone calls, and entertainment. Future enhancements could include making the system portable.
Dr. Pooja Walia discusses smart classrooms and their advantages. A smart classroom uses technology like computers, internet access and multimedia devices to enhance the learning process and increase students' retention of course content. It provides quality education through tools like 3D animated modules and videos. Key characteristics of a smart classroom include adaptive learning, collaborative learning, access to computing devices, performance-based assessments and student-centric learning. Students take responsibility for their own learning. Overall, smart classrooms provide an innovative and interactive learning environment that engages students and helps improve their performance.
The document describes a smart note taker product that allows users to take notes by writing in the air. The notes are sensed and stored digitally. Key features include allowing blind users to write freely, and enabling instructors to write notes during presentations that are broadcast to students. It works using sensors to detect 3D writing motions, which are processed, stored, and can be viewed on a display or sent to other devices. An applet program and database are used to recognize words written in the air and print them. The smart note taker offers advantages over digital pens like ease of use and time savings.
Cellular Neural Networks (CNNs) are a revolutionary computing paradigm that allows for analog parallel processing similar to neural networks but where each processing unit only communicates with its nearest neighbors. CNNs consist of arrays of identical nonlinear dynamic units arranged in a grid where each unit receives input from neighboring units. The CNN Universal Machine (CNN-UM) was the first programmable analog processor array computer with its own language and operating system that was as powerful as a supercomputer for image processing applications. CNNs show promise for applications such as high-speed target recognition, visual inspection, and the development of artificial senses through cheap sensor arrays.
IoT Based Garbage Monitoring System pptRanjan Gupta
1) A group of students presented on an IOT Garbage Monitoring System to help keep cities clean.
2) The system uses ultrasonic sensors and a microcontroller to monitor garbage levels in bins and displays the status on an LCD screen and web page.
3) When fully implemented, the system will help support initiatives like Swachh Bharat Mission by enabling real-time garbage monitoring and efficient collection.
The document discusses brain chip technology, which involves implanting computer chips into the brain to create a brain-computer interface (BCI). It would allow users to control prosthetic limbs or other devices with their thoughts alone. While brain chips may one day help paralyzed patients or allow remote control of devices, the technology is still in early stages and faces challenges like crude current methods, scar tissue formation, and ethical concerns that could prevent further development.
Smart classrooms integrate technology like computers, software, and audiovisual equipment to enhance teaching and learning. Key features include interactive whiteboards, digital slates, document cameras, smart audio, and student tracking systems. The objectives are to advance education, improve understanding, encourage informal learning, and track student participation and progress. Smart classrooms allow for more engaging lessons, communication between teachers and students, and active learning over traditional chalkboard-based classrooms. However, maintaining the technology and training teachers can be costly, and not all schools have access to smart classroom resources.
Smart note taker is a pen that can write in air and store the information in an internal memory chip. It uses displacement sensors to sense the pen's movement and compare the handwriting to letters in its database to store what is written. Notes can then be uploaded and edited on a PC by docking the pen. The smart note taker allows paperless note taking anywhere and saves time over traditional notetaking. However, it has a very high cost which limits its accessibility. It finds applications in presentations, document editing and signatures.
Shivam Chaddha gave a presentation on brain chips. The presentation covered the evolution of brain chips from early experiments in the 1950s to implantable devices today. It discussed technologies like BrainGate that allow paralyzed patients to control prosthetics and computers using only their thoughts. While promising benefits, brain chips also face challenges from technical limitations and safety/ethical concerns that scientists continue working to address. The presentation concluded that brain chip technology has helped patients but does not promise miracles and more research is still needed.
Blue brain technology powerpoint presentations for seminarsbhavanadonthi
The document discusses blue brain technology, which aims to create an artificial brain through computer simulation. The IBM is developing a virtual brain called the Blue Brain to function like the human brain by taking decisions, thinking, responding, and storing memories. Scientists believe that within 30 years it will be possible to scan a human brain into a computer using nanobots, allowing one to upload their intelligence, knowledge, and skills into a virtual brain that could continue functioning as that person even after death. The Blue Brain project uses a supercomputer to simulate 10,000 neurons in an effort to replicate aspects of the human brain's circuitry and memory capabilities.
A Powerpoint Presentation on e-learningAvinandanPal2
Hello, this Powerpoint Presentation discusses about E-learning, its advantages and disadvantages, comparison with Physical classroom learning, what is the solution and how rural students can access them easily.
If the PPT is useful, then like it, follow me and comment about the Presentation. Thank you.
What Is AI: Foundations, History and State of the Art of AI.
Intelligent Agents: Agents and Environments, Nature of Environments, Structure of Agents.
Problem Solving by searching: Problem-Solving Agents, Example Problems,Searching for Solutions, Uninformed Search Strategies, Informed (Heuristic) Search Strategies, Heuristic Functions.
Learning from Examples: Forms of Learning, Supervised Learning, Learning Decision Trees, Evaluating and Choosing the Best Hypothesis, Theory of Learning, Regression and Classification with Linear Models, Artificial Neural Networks, Nonparametric Models, Support Vector Machines, Ensemble Learning, Practical Machine Learning
Learning probabilistic models: Statistical Learning, Learning with Complete Data, Learning with Hidden Variables: The EM Algorithm. Reinforcement learning: Passive Reinforcement Learning, Active Reinforcement Learning, Generalization in Reinforcement Learning, Policy Search, Applications of Reinforcement Learning.
Ambient intelligence is an emerging discipline that brings intelligence to our everyday environments and makes those environments sensitive to us. Ambient intelligence (AmI) research builds upon advances in sensors and sensor networks, pervasive computing, and artificial intelligence.
The document discusses mind reading computers, which use techniques from computer vision, machine learning, and psychology to interpret a person's mental states from their facial expressions and body language in real time. It describes how existing systems work, potential applications like improving human-computer interfaces, and challenges like privacy concerns. Future research may allow mind reading computers to help paralyzed people communicate or monitor brain activity for medical or military purposes if technical and ethical issues can be addressed.
This document presents a smart classroom and student tracking management system. It includes sections that describe the objectives of making learning better and more engaging for students. It also explains key aspects of the system like smart classroom standards that include interactive whiteboards, document cameras, response systems, and audio equipment. The student tracking management system uses RFID readers and tags along with a GSM module and central computer to track student locations and attendance. Benefits of the smart classroom include better instruction tools for teachers and more engaging learning experiences for students.
IRJET- Smart Campus an Android and Web based Application using IoT and NFC Te...IRJET Journal
This document describes a proposed smart campus system that uses Internet of Things (IoT), Near Field Communication (NFC) technology, and face recognition to manage campus activities more efficiently. The system aims to address common problems in campus administration by automating tasks like student attendance tracking, marks reporting, smart teaching, video surveillance, and notifications. It would allow students and faculty to perform activities like accessing classrooms and equipment or purchasing items using their NFC cards and face detection. All user and activity data would be stored securely in the cloud. The system is intended to improve the quality of education and make campus operations more time-efficient through contactless technologies and integrated mobile and web applications.
IoT Based Smart Attendance System Using RFID and Google SheetIRJET Journal
This document describes an IoT-based smart attendance system using RFID and Google Sheets. The proposed system uses RFID tags and readers to automatically record student attendance in real-time. It stores attendance data on a Google Sheet using a NodeMCU microcontroller connected to the RFID reader over WiFi. The system aims to make the attendance process more efficient, secure, and time-saving compared to traditional manual methods. It provides a prototype and discusses the hardware components, methodology, and potential applications of the smart attendance system.
This document provides details about a project to implement a smart campus network module at a college using Internet of Things (IoT) technology. The objectives are to present a local area network design suitable for colleges with limited budgets that ensures security, backup and other features of networks in developed countries. The project involves collecting data from various IoT devices on campus, analyzing the big data with techniques like data cleaning and visualization, and communicating between devices using protocols. It proposes a smart campus architecture with modules like campus operations, services and surrounding areas. Screenshots show simulations of the network in Packet Tracer. Advantages include enhanced security, time savings, access to real-time information and efficient electricity use.
The document discusses using Internet of Things (IoT) technology to create smart learning environments. It describes how IoT can enable smart teaching by allowing teachers to use online tools and media for instruction. IoT can also facilitate smart learning by letting students access educational materials anywhere using electronic devices. Specific applications mentioned include smart classrooms equipped with sensors and devices to track attendance and monitor classes, as well as smart libraries that use RFID and NFC tags to locate books and manage check-in/check-out processes more efficiently. The goal of IoT in education is to enhance the learning process and make it more engaging, accessible, and effective for both students and teachers.
New technology like (IoT) in recent years rapidly developing in a computing world. The Internet of things will change the real world, activities and objects from simple to most complex. Beside areas as Business, Cities, Transportation, Healthcare, Agriculture and different areas, The IoT will also have a major implication in institute/college. In digital era our College campus need of IoT technology for classy environment to utilize secured & modern technology for e-campuses activities in academic course of action. In general, campuses spread over a fairly large area and it’s very difficult to control for management to track everything happens.This project focuses on need of adopting IoT technology in campus using Secured for (e-Educational)- Campus academics. In near future drastically make changes for students in highly enabled IoT. Starting from needs and advantages ending with a possible architecture based on smart objects.
Hey Students! I came with a Best 3 Node MCU Projects, Are you interested? Then Takeoffedu group is best choice for engineering students who are curious about Node MCU Projects.
Emerging ict applications in higher education in 21 st centuryDurga Prasad
The document discusses the emerging applications of information and communication technologies (ICT) in higher education in the 21st century. It outlines several ICT tools that are being used like websites, learning management systems, social media, videos, and virtual classrooms. It also discusses challenges to implementing ICT like management support, technology issues, faculty acceptance, and student buy-in. Overall ICT is transforming higher education research, teaching, and library management by increasing access to resources and reducing barriers to education.
IRJET- Energy Conservation and Digital Security Notice Board for Smart Class ...IRJET Journal
This document proposes a smart classroom system that uses various sensors and technologies to automate student attendance monitoring, information display, security monitoring, and energy conservation. The system uses RFID and fingerprint sensors to automatically record student attendance. An IR sensor counts the number of people in the classroom and a temperature sensor monitors the room climate. Based on occupancy and temperature, lights and fans are automatically controlled. A Raspberry Pi, camera, and GSM module provide security monitoring, information display on a smart board, and communication. The goal is to develop an integrated smart classroom system that saves time, effort and energy compared to separate existing devices.
A survey on various technologies available for Smart lab based on Internet of...IJSRD
This paper explores some approaches to harnessing the IoT in teaching field. The Internet of Things (IoT) is a fast emerging system of physical sensors and connected devices, enabling an advanced information gathering, interpretation and monitoring. Smart Lab is still in need of an efficient attendance system which takes attendance in real time. Various Research papers are summarized in this paper. This paper describes the concept of development of Smart Lab which takes attendance by using RFID technology. Then it improves the efficiency of attendance taking system by analyzing the reading range of RFID system. The Smart Lab concept also monitors and controls the temperature and humidity of the computer system.
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.
Smart Classroom Monitoring using Machine Learning and IoTIRJET Journal
This document describes a smart classroom monitoring system using machine learning and IoT. The system uses sensors like an LDR light sensor and temperature sensor connected to an Arduino microcontroller board to automatically control lights and fans based on light levels and temperature. A Raspberry Pi is used to run software that takes student attendance using facial recognition of images captured by a classroom camera. The software is divided into modules for building a student database from photos, training a face recognition model, and testing unknown faces during class. Real-time student attendance and any questions can be displayed on an LCD screen or sent to a teacher's mobile device using a Telegram server. The system aims to reduce tasks for teachers and enhance the classroom learning environment.
The document is a thesis proposal for an automated classroom door lock and attendance monitoring system using RFID from Notre Dame of Tacurong College. It outlines the background and need for increased security and attendance tracking. The proposed system would use RFID cards to unlock doors and track student attendance digitally. It presents the objectives, significance, scope, definitions, related works, technical background, methodology, and budget for the project. The system would aim to help enforce rules and save energy while upgrading the school's technology.
This document describes a proposed smart classroom project that uses various technologies to automate classroom functions for improved efficiency, energy savings, and communication. The key features proposed are using solar panels to power the classroom and reduce grid dependency, an RFID-based student attendance tracking system, automatic lights and fan controls, locked doors during class time, notifications sent to parents if students miss class, and an information display. The purpose is to modernize classrooms, make them more energy efficient, and improve communication between schools and parents regarding student attendance and participation.
Secured e-payment system based on automated authentication data and iterated ...TELKOMNIKA JOURNAL
Electronic payment has been considered as one of the most significant and convenient applications of modern electronic services e-University compared to traditional methods that impose time-consuming, human resources, and inefficiency. Different automatic identification technologies have been widely used, such as radio frequency identification (RFID). Extensive research and several applications are focusing on taking the maximum advantage of RFID technology. Data and information security had considered a crucial role when information concerning e-commerce, e-banking, or e-payments, especially due to it required real data to establish accessed illegally. Hence, data originality and security fall a very significant and critical issue in data communication services in recent years. Applications such as e-banking or e-commerce regularly contain sensitive and personal information that should be managed and controlled by authorized persons. Thus, keeping a secure password is important to prevent unauthorized users from illegal access. The password hashing is one of the safety methods and means of preventing attacks. In this article, focuses on proposing an RFID based electronic payment and also provide multi-level security privileges for an academic domain by using RFID technology besides the programmable logic circuit as well the system used C# language in visual studio environment also desktop and web-based application for system working purposes. The proposed system aims to manage student payments in a secure manner and provides the capabilities of getting a bus ticket, copying books, buying food, paying registration fees, and other services. The results have shown the system is secured by using the confirmation code in addition to password encryption.
IRJET- Automated Face Detection and Recognition for Detecting Impersonati...IRJET Journal
This document proposes an automated system using RFID and face recognition to help students easily find their exam halls and seats and prevent impersonation. The system works by having students swipe their RFID cards at a reader, which will display their exam hall and seat number on an LCD screen. It also uses a camera and face recognition on an Arduino board to match students' faces to images in a database, marking them present if matched and triggering an alarm if not matched to prevent impersonation. The system aims to make the exam seating process more efficient than traditional manual methods and help students locate their exams without delay.
IRJET- Automated Face Detection and Recognition for Detecting Impersonation o...IRJET Journal
This document proposes an automated system using RFID and face recognition to help students easily find their exam halls and seats and prevent impersonation. The system works by having students swipe their RFID cards at a reader, which will display their exam hall and seat number on an LCD screen. It also uses a camera and face recognition on an Arduino board to match students' faces to images in a database, marking them present if matched and triggering an alarm if not matched to prevent impersonation. The system aims to make the exam seating process more efficient than traditional manual methods and help students locate their exams without issues. It discusses the components, methodology, and concludes the concept could be expanded to integrate additional student data and services.
IRJET - Design of Student Security System using RFID MechanismIRJET Journal
This document describes a proposed student security system using RFID technology. The system aims to track student attendance using RFID tags attached to student IDs and RFID readers placed at school entrances and exits. When a student enters or leaves through the gates, their RFID tag will be scanned and their attendance details sent to a server. Parents will receive real-time SMS notifications when their child arrives at or leaves school. The system aims to automate attendance tracking and notify parents, improving on existing manual attendance methods.
This document discusses the key building blocks needed to enable the Internet of Things (IoT). It outlines four main categories of IoT applications: 1) remote tracking/monitoring and control, 2) process control and optimization, 3) resource allocation and optimization, and 4) context-aware automation and decision making. The main building blocks are then described in more detail: 1) sensing nodes to collect data, 2) local embedded processing nodes to analyze the data, 3) connectivity nodes to communicate wired or wirelessly, 4) software to automate tasks, and 5) remote processing nodes in the cloud. Microcontroller units are discussed as ideal local processing nodes due to requirements for energy efficiency, software ecosystems, cost effectiveness, quality,
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELgerogepatton
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%.
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
1. PRESIDENCY UNIVERSITY
SCHOOL OF ENGINEERING
SEMINAR (ECE 511)
PRESENTED BY
MOHAMED FURQHAN
20192ESV0002
GUIDED BY
DR. RAJIV RANJAN
2. TABLE OF CONTENTS:-
Introduction
Background
Current State of the Art
Specific Applications of the chosen Topic
Key Issues
Challenges of the Domain
Existing / Possible Solutions
Future Scope
Summary
Conclusion
References
3.
4. Introduction
The quality of education is a vital demand in today's competitive
setting. Technology has affected us in each facet.
Smart Education situation in India that offer quality teaching and
learning opportunities to lecturers and students by serving them
to longer devotion towards the teaching, better construct
formation and educational action.
Smart room provides energy efficient room automation by
controlling, monitoring and utilization of renewable energy
sources while reducing operating cost of appliances.
5. SMART CLASS ROOM automation mainly focuses on Controlling and
monitoring of lights, fan, AC and other room appliances by considering
workable and human friendly room environment.
IoT (Internet of Things) is inter-networking of physical devices,
embedded systems, buildings, sensors, actuators and other similar
devices to stay connected and exchange data.
Simplify the task of attendance recording by the use of the Q-touch
sensors and also using RFID technology to ensure strictness among the
students.
Wire-less electronic notice board to convey information from the faculty
and the student.
6. Background
IOT enabled and embedded Smart classrooms have been a
product of development and adoption of technology in the
education sector.
With advancement of technology such as streaming of video on
the web, the need to have a classroom as a meeting point is no
more
Smart classroom technologies have enabled listening of lectures
from any place. Recording of what transpires in a lecture room
has also avoided the problem of having to obtain the information
together with the rest of the students as one can always listen at a
convenient time and as many times as possible.
7. Smart classrooms have been successful due to the availability of aspects of
interactive communication and collaboration instruments such as chat
rooms, electronic forums like teleconferencing, and e-mail applications
among others.
8. OBJECTIVES
To create advancement in education systems.
To build a prototype for smart classroom controlled by using Raspberry
Pi, RFID sensors, WAGO PLC controllers along with relays.
To make a better learning and understanding.
Students learn their lessons in a smart approach.
Solar supply for the projector, lights, fans, helps in the time of power
cuts.
Helps to keep track of students.
9. A smart classroom is where the concept of
blended learning is blooming. The smart
classroom is technologically enhanced that
enables teaching and learning opportunities like
never before!
10. Smart classrooms are the classrooms enhanced with
technological equipment for the purpose of better learning
and teaching.
11.
12. Smart class technology allows students to make presentations online
and get feedback from their teachers in less time. This saves a lot of time
of teachers and students that can be used for another interactive activity.
The opportunity to provide students with quality education by helping
them understand concepts better, improve their reading and
comprehension skills, and achieve academic excellence.
It is a universal truth, when we learn through visuals, we grab the
subject easily rather than just looking into the blackboard & listening.
13.
14. The education sector has seen a noticeable increase in educational standards,
advancement and innovations in recent years.
Schools and other educational institutions have begun to adopt modern
teaching methods through interactive intelligent boards, projectors and smart
notebooks, etc.
we can not deny, these technological updates make the education system more
interactive and easier.
Students prefer to use tablets, phones and other devices to share and transfer
study material that saves their time and efforts.
On the other hand, this smart technology helps teachers to turn boring lectures
into an engaging session. It is not just about sharing information but also
creating a better online presentation by avoiding the need to write manually.
16. Survey findings revealed that teachers reported integrating technology
into the classroom (74%)
66% of respondents described their technology use as frequently and
83% as everyday.
92% of responses: proficiency for the modern world and research.
The themes recording and visuals, illustration of a concept each occurred
in 97% of responses
20. The global smart class-room market is currently in a nascent stage
and is poised to rise impressively in the next couple of years.
Depending upon components, the global smart classroom market has
been classified into projectors, interactive whiteboards and displays,
student repose software, learning management software, support
services, and classroom management and assessment software.
The TMR report projects the projectors segment in the global e-
learning market to attain a value of US$20.7 bn by the end of 2022.
The report finds that North America is the leading region in the global
smart classroom market.
21. IOT ENABLED AND EMBEDDED SMART CLASSROOMS
Deep Ranjan Deb1, Mr. Bhupendra Pratap Singh2, Dr. S. Karthikeyan3 (2019)
(IOT) Internet of Things
Internet of Things (IOT) is the organize of "things" or objects
coordinates in electronics, software, sensors and organize network,
which permits these things to gather and replace a huge sum of
information.
22. IOT APPLICATIONS FOR SMART CLASSES
Environmental monitoring or infrastructure management or labor
process.
For data transfers.
Interactive whiteboards.
Temperature and environmental sensors.
Wireless door locks and lockdown protocols.
Automated attendance tracking systems (see id cards).
23.
24. The prime objective is to develop a smart classroom by the use of Q-touch
sensors and RFID technology.
This method of taking manual attendance can be enabled on a digital platform
by the use of Q-touch sensors.
We are using RFID card to get access inside the smart classroom, so that better
discipline.
Enhanced reliability can be ensured and late comers will not be allowed to enter
inside the classroom.
OBJECTIVE
25. Block Diagram Of Iot Enable Smart Class Room
International Research Journal of
Engineering and Technology (IRJET) e-ISSN:
2395-0056
27. The Q-touch sensors are placed on the chairs. These devices are
charging a sense electrode of unknown capacitance to a known
potential.
When we place a finger on the touch surface it introduces external
capacitance which affects the charge flowing at that point this is
registered as a touch.
Q-touch microcontrollers can also be used to detect the proximity
of a finger, rather than an absolute touch.
Q-Touch Sensor
28. Q-Touch technology is basically deployed in two ways, normal mode or
touch mode and high-sensitivity or proximity mode.
The high sensitive charge transfer proximity sensing. It is used for
detecting an end-user's approaching finger, and the user interface interrupt
the electronic equipment.
29. Microcontroller (SAMD21)
Atmel SMART SAM D21 is a series of low-power microcontrollers that
uses the 32-bit ARM Cortex -M0+ processor. Pin ranges from 32 to 64
pins with 256KB Flash and 32KB of SRAM. SAM D21 .
devices operate at a maximum frequency of 48MHz and can reach up to
2.46 Core Mark/MHz.
30. RFID Technology
RFID stands for Radio frequency identification which makes use of
electromagnetic fields to automatically identify and track tags which are
attached to objects.
In case of passive tags it collects energy from a nearby RFID reader's
interrogating radio waves.
Unlike a barcode, it’s not necessary tag need not be within the line of
sight of the reader, so it can be embedded in the tracked object.
RFID is one of the bestmethod for Automatic Identification and Data
Capture (AIDC).
31. The student cards being used for identification of each individual student are
the RFID cards consist of passive RFID tag, which does not require internal
battery.
Now these cards are passed through the field generated by a compatible
reader and it transmit information back to the reader.
RFID tag and reader
32. RECOGNISED PROBLEM STATEMENT AND SOLUTION
Having said the limitations imposed by the conventional attendance
system,
A solution in the form of Q-touch sensors which will be placed in the
respective chair of a particular student.
The main idea behind the system is to capture student attendance in a
automated way where the students are required to flash their student
card at the RFID reader to get access inside the classroom and take
their respective seats.
The time period will be calculated for the amount of time they are
seated in their seats and graph will be plotted accordingly. This data
will be saved and sent to the attendance department through the main
server.
International Research Journal of
Engineering and Technology (IRJET) e-ISSN:
2395-0056
33. IMPLEMENTATION OF SMART CLASS USING WAGO
PLC (CONTROLLER)
IEEE Xplore Compliant - Part
Number:CFP18J06-ART, ISBN:978-1-5386-
0807-4; DVD Part Number:CFP18J06DVD,
With the increase in room energy demand both energy management and
sustainable energy systems are used in smart rooms, which provides automatic
control and monitoring of various room appliances.
Use of solar power as a renewable source of power. WAGO programmable
logic controller (PLC) is used to provide solution for automatic control and
monitoring of class room appliances such as lights, fan, air conditioning (AC)
and projector.
Arduino Uno is also used as data acquisition device which is programmed to
acquire sensor data and generate output signal in accordance to input of
WAGO PLC.
35. PLC is a controller that have separate number of inputs, gets
the sensor and input devices data, process this data according
to the program and generate control signal at its output
Terminals.
Central processing unit having microprocessor to
analyze and process the data according to the stored
program.
Memory unit to store main program as well as input data
which is to be processed by the CPU.
Communicating unit to access communication with
programming device as well as other controller and
devices.
36. Shows the Architecture of a smart classroom
_____ Main power supply
_____Solar power supply
……..Communication network
37. The Arduino Uno controller is used for detecting the temperature
(DHT11) and lux (GY30) sensor inputs. Arduino is Atmega328
based controller board.
The PIR sensor is used to identify the existence of the person in a
room, in order to automatically turn ON the lights.
Lux sensor (GY30) is based on BH1750FVI intensity Digital Light
Sensor Integrated circuit This sensor is used for sensing and
measuring the amount of light incident on it. It works on I2C
communication protocol.
To measure electrical parameters such as consumed energy,
connected load etc. [8] Em6400ng digital multifunction energy
meter is used to measure these electrical parameters.
38. PV panel having Polycrystalline Silicon cells generate rated 12V dc
output.
This system includes solar inverter module having two 36 amp-hours
(AH) batteries to drive light panel load a projector, a plugin socket,
fan’s for almost 4 hours .
39. This represents the implementation of a smart class room, based on WAGO
PLC and solar power system.
The whole system operates automatically using WAGO PLC with control
relays. Switching the tube lights, fan and AC, ON/OFF are occurring
automatically.
PIR sensor and room environmental parameters.
The real-time implementation is based on two processes: automatic control
using sensor data and manual control using android application has been
effectively implemented.
This system is designed with basic, practical and adaptable approach that
makes smart class room operation more efficient and effective.
40. CONCLUSIONS
Q-touch sensors which will be placed in the respective chair of a particular
student.
The main idea behind the system is to capture student attendance in a
automated way where the students are required to flash their student card
at the RFID reader to get access inside the classroom and take their
respective seats.
The time period will be calculated for the amount of time they are seated
in their seats and graph will be plotted accordingly. This data will be saved
and sent to the attendance department through the main server.
41. The proposed work represents the implementation of a smart class room, based
on WAGO PLC and solar power system. The whole system operates
automatically using WAGO PLC with control relays.
Switching the tube lights, fan and AC, ON/OFF are occurring automatically
with the help of PIR sensor and room environmental parameters.
Moreover this technology is not only to be used in the smart classrooms but it
can also be used in the examination halls Smart and intelligent teaching
environment, will make students and teachers to access quality of information
more quickly, effortless and perfectly
42. SUMMARY
Firstly the presentation talks about what is a smart class room?,
why do we need a smart class?
Iot enabled and embedded smart class and some applications of iot
in smart classes.
A survey has been shown that how teachers are satisfied by the applications
and benefits of smart class room.
Current state of art , how the components and iot applications demand increase
from the year 2007-2022.
Wago PLC controller and RFID related applications.
Problem statement of how smart class room is better from
conventional class room system .
43. REFRENCES
Preethi, B.C. and Vijayakumar, M. “ A novel Cloud Integration
Algorithm(CIA) for Energy Efficient High Performance Computing
Applications in Big Data Multimedia Applications”, Romanian Journal
of Information Science and Technology, vol. 2, March 2018.
M. K. Yeopsabri, M. Z. A. Abdul Aziz, M. S. R. Mohd Shah, M. F.
Abdkadir.,”Smart Attendance System By Using RFID”,2007
Asia-pacific Conference On Appplied Electromagnetics Proceedings.
4-6 December 2008.
Mahyidin, M.F. Student Attendance Using RFID System. 2008 December
2012]; Available from: http://umpir.ump.edu.my.
44. Pao-Ann Hsiung, Shu-Hui Yang.,”Innovative Application of RFID Systems to
Special Education Schools”,2010 Fifth IEEE
International Conference on Networking, Architecture, and Storage. Page 299-
304.
Kassim, M. and S. Yahya. A case study: Reliability of smartcard applications
and implementation in university environment,
Malaysia.in 2009 International Semiconductor Device Research Symposium,
ISDRS '09. 2009. USA..
“The Facial Recognition Technology (FERET) Database”, webpage
on NJST. [online]. http://www.itl.nist.gov/iad/humanid/feret/.
B. M. Stephen, E. S. Sanjay and R. W. John, “RFID Technology and
Applications”, Cambridge University Press, 2008.
45. K. D. Mahajan, P. Pandey and B. K. Pandher, “Application of RFID
Technology in Libraries and Role of Librarian,” In 12th
MANLIBNET Convention 2010, Jaipur (India), pp. 109-118, 2010
SaikrishnaChatrati, Sumanth Naidu, CH.Raghava Prasad.“RFID based
Student Monitoring and Attendance Tracking System.”
4th ICCCNT 2013. July 4-6 2013.
https://www.google.com/search?q=IOT+FOR+CLASSROOMS&rlz=1C1CH
BD_enIN874IN874&sxsrf=ACYBGNS_bIiLJxDBF2oo0FCZSa0NVMREjg:
1576439207722&source=lnms&tbm=isch&sa=X&ved=2ahUKEwiByPHXtb
jmAhWFX3wKHXN4CVsQ_AUoAXoECBEQAw&biw=1366&bih=625#i
mgrc=dDy2txT9IcX2sM: