This document describes a proposed automatic free parking slot status intimating system using Internet of Things (IoT) technology. The system uses ultrasonic sensors to detect vehicles parked in indoor lots and magnetic sensors to detect vehicles in outdoor lots. It identifies vehicles using their Bluetooth signal and USIM ID from connected smartphones. The sensor data is sent to a server via a gateway. The system aims to help drivers find available parking slots quickly and reduce fuel consumption from unnecessary driving to full lots. It provides a low-cost alternative to existing RFID-based systems by utilizing smartphones and wireless sensor networks.
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
IRJET- On Board Diagnostics (OBD)3 for Vehicular ManagementIRJET Journal
This document proposes an online vehicle emissions monitoring system using onboard diagnostics (OBD) to help reduce air pollution in cities. The system would use sensors to monitor emissions and vehicle parameters, an onboard computer to analyze the data and identify issues, and RFID tags and wireless communication to transmit the data to authorities. This would allow real-time monitoring of individual vehicles to enforce emissions regulations and policies more effectively than current periodic testing methods. The system is intended to help address the major problem of air pollution caused by the increasing number of vehicles in cities.
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the traffic signaling systems have predetermined fixed operational time which fails to manage the traffic density changing with time and thus, long traffic queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart traffic congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.
Traffic Monitoring and Control System Using IoTijtsrd
This research aims to monitor the traffic condition and to control the traffic light. This system can reduce not only traffic congestion but also waiting time. This system is designed to be implemented in places nearing the junctions. This research is based on the effective use of Internet of Things IoT . This system will display the traffic conditions in the website and the traffic light can be controlled from this website. This system has been implemented by using esp8266, ultrasonic sensor and arduino. Esp8266 nodemcu which is IoT device is used to transmit the traffic information to the website which is connected with this device. Ultrasonic sensors are placed on each road to sense the presence and absence of vehicles. Traffic information is received from these sensors. Traffic light prototype is built by using an arduino UNO. This traffic light can be controlled from the website. The system will display the traffic states in the website that can guide the drivers to select the right way and avoid traffic congestions. Ei Swe Zin | Kyaw Zin Latt ""Traffic Monitoring and Control System Using IoT"" 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/ijtsrd25138.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25138/traffic-monitoring-and-control-system-using-iot/ei-swe-zin
IRJET- Automatic Vehicle Accident Detection and Messaging SystemIRJET Journal
This document describes an automatic vehicle accident detection and messaging system. The system uses an ATmega328P microcontroller connected to sensors like an accelerometer, GPS module, and GSM module. It also includes features like a camera, LCD display, and push button. In the event of an accident, the accelerometer detects abrupt movement and the microcontroller sends an alert message with time and location data using the GSM module. This information helps with crash analysis and investigation. The system provides vehicle diagnostics and navigation on an LCD display. It aims to improve road safety by detecting accidents and sending alerts to emergency services.
This document presents a smart parking system using IoT that aims to reduce the time and effort spent searching for available parking spots. The system uses infrared sensors to detect vehicle arrivals and departures, a Raspberry Pi to process sensor data and control system components, a camera to capture vehicle license plates, and an OpenALPR API to extract license plate numbers from images. A local server hosts a website where users can view available spots and enter their details, which are stored in a database along with the vehicle license plate number for security and access control. When a vehicle arrives, its license plate is detected and the user information is verified before opening the gate. This smart parking system aims to automatically manage parking areas without human intervention.
The document proposes a smart monitoring system for automobiles using IoT. It uses sensors connected to an Arduino board to monitor various vehicle components. The Arduino feeds sensor readings to a Raspberry Pi gateway and then to a server via Ethernet. If readings exceed thresholds, the server sends alerts to users by SMS. It also allows emergency requests if the vehicle breaks down. The service center can track vehicle status and location through a website. The system aims to promote vehicle safety and maintenance through low-cost, real-time monitoring of components.
A PROPOSED MODEL FOR TRAFFIC SIGNAL PREEMPTION USING GLOBAL POSITIONING SYSTE...csandit
This document proposes a model for traffic signal preemption using GPS to assist emergency vehicles. The model uses an Android app on emergency vehicles to transmit GPS coordinates to a central web server. An Arduino microcontroller with Ethernet shield installed at each intersection receives preemption commands from the server to change traffic signals accordingly, helping emergency vehicles pass through intersections more quickly. The proposed system offers advantages over existing acoustic, line-of-sight, and radio-based systems in terms of cost, accuracy, and security against illegal preemption triggering.
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
IRJET- On Board Diagnostics (OBD)3 for Vehicular ManagementIRJET Journal
This document proposes an online vehicle emissions monitoring system using onboard diagnostics (OBD) to help reduce air pollution in cities. The system would use sensors to monitor emissions and vehicle parameters, an onboard computer to analyze the data and identify issues, and RFID tags and wireless communication to transmit the data to authorities. This would allow real-time monitoring of individual vehicles to enforce emissions regulations and policies more effectively than current periodic testing methods. The system is intended to help address the major problem of air pollution caused by the increasing number of vehicles in cities.
A smart traffic management is a wide topic of research. Many modifications can be made to make the urban traffic flow smoothly on the roads. The increasing utilization of private vehicles and public transportation due to advancement of technology causes hectic traffic complexities for the civilians across the globe. The problem of traffic congestion is an everyday problem for human resource and therefore hinders the growth of the country by affecting its productivity as well as economy. Moreover, the traffic signaling systems have predetermined fixed operational time which fails to manage the traffic density changing with time and thus, long traffic queues are formed at the road crossings resulting in increased pollution and waiting time. In this paper, we tried to provide solution to reduce the waiting time at road crossings while keeping in mind the importance of time of the citizens as well as the emergency service providers (such as EMS i.e. Emergency Medical Services, Fire and Rescue Services, etc.). The presented system in this paper is based on smart traffic congestion control system that will automatically set the signal time based on the measured values of vehicle density on road lanes. However, the manual changes can also be made to traffic signals for efficient traffic management in case of emergencies. This paper presents an idea of traffic management using internet of things (IOT). The Internet of Things (IoT) refers to a system of internet-connected objects that are able to collect and transfer data over a wireless network without human intervention. This technology provides an effective communication between different signals and helps in collection of data thereby providing an IoT based smart traffic management system in terms of its automated tracking, monitoring and controlling of vehicles and its data processing.
Traffic Monitoring and Control System Using IoTijtsrd
This research aims to monitor the traffic condition and to control the traffic light. This system can reduce not only traffic congestion but also waiting time. This system is designed to be implemented in places nearing the junctions. This research is based on the effective use of Internet of Things IoT . This system will display the traffic conditions in the website and the traffic light can be controlled from this website. This system has been implemented by using esp8266, ultrasonic sensor and arduino. Esp8266 nodemcu which is IoT device is used to transmit the traffic information to the website which is connected with this device. Ultrasonic sensors are placed on each road to sense the presence and absence of vehicles. Traffic information is received from these sensors. Traffic light prototype is built by using an arduino UNO. This traffic light can be controlled from the website. The system will display the traffic states in the website that can guide the drivers to select the right way and avoid traffic congestions. Ei Swe Zin | Kyaw Zin Latt ""Traffic Monitoring and Control System Using IoT"" 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/ijtsrd25138.pdf
Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/25138/traffic-monitoring-and-control-system-using-iot/ei-swe-zin
IRJET- Automatic Vehicle Accident Detection and Messaging SystemIRJET Journal
This document describes an automatic vehicle accident detection and messaging system. The system uses an ATmega328P microcontroller connected to sensors like an accelerometer, GPS module, and GSM module. It also includes features like a camera, LCD display, and push button. In the event of an accident, the accelerometer detects abrupt movement and the microcontroller sends an alert message with time and location data using the GSM module. This information helps with crash analysis and investigation. The system provides vehicle diagnostics and navigation on an LCD display. It aims to improve road safety by detecting accidents and sending alerts to emergency services.
This document presents a smart parking system using IoT that aims to reduce the time and effort spent searching for available parking spots. The system uses infrared sensors to detect vehicle arrivals and departures, a Raspberry Pi to process sensor data and control system components, a camera to capture vehicle license plates, and an OpenALPR API to extract license plate numbers from images. A local server hosts a website where users can view available spots and enter their details, which are stored in a database along with the vehicle license plate number for security and access control. When a vehicle arrives, its license plate is detected and the user information is verified before opening the gate. This smart parking system aims to automatically manage parking areas without human intervention.
The document proposes a smart monitoring system for automobiles using IoT. It uses sensors connected to an Arduino board to monitor various vehicle components. The Arduino feeds sensor readings to a Raspberry Pi gateway and then to a server via Ethernet. If readings exceed thresholds, the server sends alerts to users by SMS. It also allows emergency requests if the vehicle breaks down. The service center can track vehicle status and location through a website. The system aims to promote vehicle safety and maintenance through low-cost, real-time monitoring of components.
A PROPOSED MODEL FOR TRAFFIC SIGNAL PREEMPTION USING GLOBAL POSITIONING SYSTE...csandit
This document proposes a model for traffic signal preemption using GPS to assist emergency vehicles. The model uses an Android app on emergency vehicles to transmit GPS coordinates to a central web server. An Arduino microcontroller with Ethernet shield installed at each intersection receives preemption commands from the server to change traffic signals accordingly, helping emergency vehicles pass through intersections more quickly. The proposed system offers advantages over existing acoustic, line-of-sight, and radio-based systems in terms of cost, accuracy, and security against illegal preemption triggering.
IRJET- Emergency Vehicle Pre-Emption using Smart City ConceptIRJET Journal
This document proposes an emergency vehicle pre-emption system using smart city concepts. The system would use IoT-enabled traffic signals connected to the cloud to clear traffic for ambulances. When an ambulance driver triggers a switch, the ambulance location and direction are shared to the cloud. The cloud analyzes this data and sends commands to nearby traffic signals based on traffic density to turn signals green and remove congestion along the ambulance's path. Sensors at signals would estimate traffic and the system would consider turning signals green when ambulances are few hundred meters or kilometers away depending on traffic. This would help ambulances reach hospitals more quickly in metropolitan cities with heavy traffic.
A prototype of IOT Car Parking System that allows drivers to effectively find the vacant parking spaces is been designed and implemented in this report . By periodically learning the parking status from the sensor networks deployed in parking lots, the drivers are allowed to access this information with their personal communication devices and exactly know which parking slots are vacant. This particular application uses internet of things for accessing the information with their mobile phones. This system has the potential to simplify the operations of parking systems, as well as alleviate traffic congestion caused by parking searching and would definitely make people follow the traffic rules and ensure safety. The developed system is reliable, low cost and user friendly
This document summarizes a proposed smart parking system that uses infrared sensors and wireless communication to detect available parking spaces and display this information. The system uses IR sensors at each parking space to detect when a space is occupied or vacant. This data is sent via ESP8266 nodes to a Raspberry Pi computer which computes and displays the parking availability on LCD screens in real-time. The system aims to reduce time spent searching for parking. Some challenges discussed include sensor accuracy, data transmission delays, battery life of sensors, and developing an easy-to-use user interface given the complex layouts of many parking structures.
The document discusses developing an automated toll collection system using near-field communication (NFC) technology to allow drivers to pay tolls using their NFC-enabled smartphones. It describes the existing manual toll collection system and proposes a new system where drivers can pay tolls automatically by waving their phone at the toll booth. The system would also log all transactions and track vehicles that do not pay their tolls.
IRJET- Smart Card Based Automated Toll Plaza SystemIRJET Journal
This document describes a proposed smart card-based automated toll plaza system using Internet of Things (IoT) technology. The system would automatically identify approaching vehicles using sensors, read identification information from smart cards using RFID readers, process toll payments by deducting funds from preloaded accounts, and notify users of transactions via SMS. This would help reduce traffic congestion at toll plazas by automating the toll collection process. The system architecture involves IoT sensors, RFID readers, microcontrollers, GSM modules, and a cloud-based centralized database. It is proposed to address limitations of existing manual toll systems and could provide more efficient toll collection.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed...PremChand190
Ch. Premchand proposes a solution for intelligent remote monitoring of parking spaces using licensed and unlicensed wireless technologies. The solution would use sensors and wireless networks to detect available parking spaces and guide drivers to them, helping alleviate issues like traffic from drivers searching for spaces. It aims to optimize parking allocation for businesses while providing a better driver experience. The document discusses various wireless technologies that could enable such a smart parking system, including Bluetooth, Wi-Fi, LTE-U, Zigbee, UWB, and 6LoWPAN, outlining their features and potential uses for remote parking monitoring applications.
This document describes a vehicle accident prevention system that uses various sensors and components to prevent accidents by enforcing traffic rules. It monitors vehicles using a USB camera and automatically issues penalties if rules are violated, such as blocking lanes, running red lights, or speeding. It also prevents drunk driving by not allowing the car to start if the driver is intoxicated. The system is intended to improve traffic safety and discipline on the road. It uses components like a NodeMCU microcontroller, alcohol sensor, motor driver, GSM module and camera to detect violations and send alerts. The researchers conclude that this kind of system can help reduce accidents by enforcing rules and increasing road safety.
IRJET- IoT Based E-Challan Automation for RTO using RFIDIRJET Journal
This document proposes an IOT-based system to automate traffic violation detection and e-challaning using RFID. The system would attach RFID tags to vehicles containing owner details. Sensors at traffic signals would detect if vehicles cross red lights and automatically issue e-challans by SMS, updating the RTO database. This would minimize manual enforcement efforts, encourage following traffic rules, and reduce corruption by tracking penalty collection. The system aims to increase road safety by automatically penalizing traffic violators.
This document describes a passenger indicator system for buses that uses sensors and wireless communication to provide information to drivers. The system has two main modules: an in-bus module and a bus stop module. The in-bus module gives drivers information on whether passengers are waiting at upcoming stops so drivers know whether to stop or proceed directly to the next stop. It can also provide details on passenger destinations using GSM or Bluetooth technology. The system is intended to assist drivers and reduce unnecessary stops. It uses a PIC16F877A microcontroller and sensors to monitor passengers and communicate wirelessly. This type of monitoring system could benefit public transportation systems by facilitating real-time tracking of vehicles and stops.
IRJET- Review Paper on Iot Based Technology in AutomobilesIRJET Journal
This document summarizes a research paper on applying Internet of Things (IoT) technology to automobiles. The paper proposes a prototype driver assistance system with two modules: 1) an intelligent headlight management system that reduces headlight intensity when approaching vehicles are detected to prevent glare, and 2) an alert system that notifies drivers via their phone whether it is safe to pass other vehicles. The system uses sensors like LDR and ultrasonic sensors connected to an Arduino microcontroller to collect data and send alerts to a cloud platform and users' phones. The paper reviews other research on IoT applications for vehicle emissions monitoring, autonomous vehicles, and traffic management. It concludes that such affordable technologies can help mitigate accidents by automatically managing headlights
IRJET- Automatic Metro Train using RFIDIRJET Journal
This document describes an automatic metro train system that uses RFID technology. The system aims to eliminate the need for a driver by allowing the train to run autonomously between stations. An Arduino microcontroller is used as the central processing unit. RFID readers and tags are used to detect when the train arrives at a station, causing it to automatically stop. Door openings and closings are also controlled automatically. The system counts passengers and displays statuses on an LCD screen. It is intended to reduce human errors and improve timetable adherence for metro train systems.
RFID Based School Children Security SystemIRJET Journal
This document describes an RFID-based school children security system that aims to safely transport children to and from school. The system uses RFID tags on the children to monitor their entry and exit from the bus and sends notifications to parents. It also includes sensors to monitor the bus speed, detect if the driver has been drinking alcohol, and ensure children are not left on the bus. The system is intended to address issues where children are sometimes forgotten and not dropped off at the correct bus stop. It uses a microcontroller, GSM module, RFID reader, LCD display, proximity sensor, and alcoholic sensor. The document provides details on the hardware and software components used and concludes the system endeavors to provide safe transportation for school children
IRJET- IoT based Accident Tracking and ReportingIRJET Journal
This document presents a system for IoT-based accident tracking and reporting. When a vehicle accident occurs, a vibration sensor detects the impact and sends a signal to a Node MCU microcontroller. The microcontroller then uses a GSM modem to send an alert message and the vehicle's location from the GPS receiver to emergency services. This allows accidents to be detected quickly and responders to be directed to the scene. The system aims to save lives by speeding up emergency response times. Key components discussed include the vibration sensor, microcontroller, GPS receiver, GSM modem and an overview of how they work together to detect accidents and report the vehicle's location automatically.
1) The document describes an automatic car parking system that uses ultrasonic sensors, infrared sensors, an Arduino Uno, and an LCD display to help drivers find available parking spaces more efficiently.
2) The system obtains information about available parking spaces using sensors, processes the data with the Arduino Uno, and displays the results on the LCD screen to guide drivers to open spots, reducing time spent searching and cutting down on traffic and pollution.
3) The authors developed the system to address the common problem of drivers spending a significant amount of time navigating crowded parking lots in search of a space, which wastes fuel and increases congestion.
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET Journal
The document describes a proposed system to automatically detect cracks in railway tracks using sensors to improve safety. The system uses IR sensors mounted on a robot to detect cracks, a GPS module to determine the location of any cracks found, and Bluetooth to send the crack location data to a mobile phone or control room. When a crack is detected, the IR sensors send a signal to a NodeMCU microcontroller which triggers an alarm and sends the crack coordinates via Bluetooth. The proposed low-cost system aims to detect cracks faster and more reliably than manual inspection methods to help prevent railway accidents.
This document discusses the development of artificial intelligence and its applications. It describes how computers have transformed many fields over the last 30 years. It then outlines the creator's work developing an affordable lidar system and algorithms for traffic sign recognition to enable low-cost self-driving cars. It shares details of the lidar's electronic design and a simulation of it being used on a car. The creator hopes to use an award to further develop the prototype into a mass producible electronic board.
Re-SPark: Reservation based Smart Parking system using FRDM KL-25ZIRJET Journal
The document describes a prototype of a smart parking system called Re-SPark that uses a sensor network and mobile application to allow users to reserve parking spots in advance. The system detects the occupancy status of individual parking spots using infrared sensors and transmits the data to a database via a wireless module. Users can then access the real-time parking availability data through a mobile app or website to reserve vacant spots. The prototype implementation consists of hardware with IR sensors connected to a microcontroller board and Wi-Fi module, as well as an Android app to allow users to reserve spots and receive confirmation through QR codes.
This document describes a proposed smart traffic management system that uses RFID technology to automatically generate e-challans for vehicles that jump red lights. The system involves fitting vehicles with RFID tags and placing RFID readers at traffic signals linked to a NodeMCU. When a vehicle crosses the signal during a red light, the reader will detect the RFID tag and send the vehicle information to the NodeMCU to automatically generate an e-challan for the offender without human intervention. The proposed system aims to reduce traffic violations and accidents by automating the challan process compared to existing methods that rely on traffic police or CCTV cameras.
IRJET- Low Cost IoT based Remote Health Monitoring SystemIRJET Journal
This document presents a low-cost IoT-based remote health monitoring system that can monitor pulse oximetry, heart rate, and body temperature. The system uses a Wemos Mega development board with an Arduino microcontroller and ESP8266 WiFi chip, along with MAX30105 and MLX90614 sensors. Sensor data is transmitted wirelessly via WiFi to a remote server and can be accessed through a mobile app. The system was tested on 20 volunteers, comparing the data to commercial devices. Future work may focus on miniaturizing components, adding sensors, improving software/security, and using lower power sources.
This document describes a smart car parking system that uses Internet of Things (IoT) technology. Infrared sensors are used to detect when a parking space is occupied or empty. This information is sent over WiFi and displayed on an Android mobile app. The app allows users to check available spaces and book one in advance. When the user parks in the slot, an LED above it will light up green if empty or red if occupied. All parking space status information is stored on a central computer. The system aims to make parking more efficient by reducing drivers' search times and traffic congestion.
IRJET- Intelligent Transport System using IoTIRJET Journal
This system uses IoT to provide real-time information about public buses to passengers. Sensors including touch sensors, a camera, and GPS module are installed on buses to monitor seat availability, passenger count, and location. This information is sent to an IoT board and displayed on a mobile app. The system aims to help passengers know seating availability and estimated arrival times to reduce waiting times at bus stops. It integrates IoT and sensors with a software solution to create an intelligent transportation system with benefits for public transport users.
IRJET- Emergency Vehicle Pre-Emption using Smart City ConceptIRJET Journal
This document proposes an emergency vehicle pre-emption system using smart city concepts. The system would use IoT-enabled traffic signals connected to the cloud to clear traffic for ambulances. When an ambulance driver triggers a switch, the ambulance location and direction are shared to the cloud. The cloud analyzes this data and sends commands to nearby traffic signals based on traffic density to turn signals green and remove congestion along the ambulance's path. Sensors at signals would estimate traffic and the system would consider turning signals green when ambulances are few hundred meters or kilometers away depending on traffic. This would help ambulances reach hospitals more quickly in metropolitan cities with heavy traffic.
A prototype of IOT Car Parking System that allows drivers to effectively find the vacant parking spaces is been designed and implemented in this report . By periodically learning the parking status from the sensor networks deployed in parking lots, the drivers are allowed to access this information with their personal communication devices and exactly know which parking slots are vacant. This particular application uses internet of things for accessing the information with their mobile phones. This system has the potential to simplify the operations of parking systems, as well as alleviate traffic congestion caused by parking searching and would definitely make people follow the traffic rules and ensure safety. The developed system is reliable, low cost and user friendly
This document summarizes a proposed smart parking system that uses infrared sensors and wireless communication to detect available parking spaces and display this information. The system uses IR sensors at each parking space to detect when a space is occupied or vacant. This data is sent via ESP8266 nodes to a Raspberry Pi computer which computes and displays the parking availability on LCD screens in real-time. The system aims to reduce time spent searching for parking. Some challenges discussed include sensor accuracy, data transmission delays, battery life of sensors, and developing an easy-to-use user interface given the complex layouts of many parking structures.
The document discusses developing an automated toll collection system using near-field communication (NFC) technology to allow drivers to pay tolls using their NFC-enabled smartphones. It describes the existing manual toll collection system and proposes a new system where drivers can pay tolls automatically by waving their phone at the toll booth. The system would also log all transactions and track vehicles that do not pay their tolls.
IRJET- Smart Card Based Automated Toll Plaza SystemIRJET Journal
This document describes a proposed smart card-based automated toll plaza system using Internet of Things (IoT) technology. The system would automatically identify approaching vehicles using sensors, read identification information from smart cards using RFID readers, process toll payments by deducting funds from preloaded accounts, and notify users of transactions via SMS. This would help reduce traffic congestion at toll plazas by automating the toll collection process. The system architecture involves IoT sensors, RFID readers, microcontrollers, GSM modules, and a cloud-based centralized database. It is proposed to address limitations of existing manual toll systems and could provide more efficient toll collection.
The document describes a smart car parking system using IoT. The system uses sensors like IR sensors and a wifi module connected to an Arduino board to detect available parking spots. This information is sent to a mobile app to guide drivers to empty spots, reducing congestion and emissions. The system's advantages include shorter wait times, fuel savings, and directing users to open spaces. It has applications in malls, restaurants, and theaters to more efficiently manage parking.
Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed...PremChand190
Ch. Premchand proposes a solution for intelligent remote monitoring of parking spaces using licensed and unlicensed wireless technologies. The solution would use sensors and wireless networks to detect available parking spaces and guide drivers to them, helping alleviate issues like traffic from drivers searching for spaces. It aims to optimize parking allocation for businesses while providing a better driver experience. The document discusses various wireless technologies that could enable such a smart parking system, including Bluetooth, Wi-Fi, LTE-U, Zigbee, UWB, and 6LoWPAN, outlining their features and potential uses for remote parking monitoring applications.
This document describes a vehicle accident prevention system that uses various sensors and components to prevent accidents by enforcing traffic rules. It monitors vehicles using a USB camera and automatically issues penalties if rules are violated, such as blocking lanes, running red lights, or speeding. It also prevents drunk driving by not allowing the car to start if the driver is intoxicated. The system is intended to improve traffic safety and discipline on the road. It uses components like a NodeMCU microcontroller, alcohol sensor, motor driver, GSM module and camera to detect violations and send alerts. The researchers conclude that this kind of system can help reduce accidents by enforcing rules and increasing road safety.
IRJET- IoT Based E-Challan Automation for RTO using RFIDIRJET Journal
This document proposes an IOT-based system to automate traffic violation detection and e-challaning using RFID. The system would attach RFID tags to vehicles containing owner details. Sensors at traffic signals would detect if vehicles cross red lights and automatically issue e-challans by SMS, updating the RTO database. This would minimize manual enforcement efforts, encourage following traffic rules, and reduce corruption by tracking penalty collection. The system aims to increase road safety by automatically penalizing traffic violators.
This document describes a passenger indicator system for buses that uses sensors and wireless communication to provide information to drivers. The system has two main modules: an in-bus module and a bus stop module. The in-bus module gives drivers information on whether passengers are waiting at upcoming stops so drivers know whether to stop or proceed directly to the next stop. It can also provide details on passenger destinations using GSM or Bluetooth technology. The system is intended to assist drivers and reduce unnecessary stops. It uses a PIC16F877A microcontroller and sensors to monitor passengers and communicate wirelessly. This type of monitoring system could benefit public transportation systems by facilitating real-time tracking of vehicles and stops.
IRJET- Review Paper on Iot Based Technology in AutomobilesIRJET Journal
This document summarizes a research paper on applying Internet of Things (IoT) technology to automobiles. The paper proposes a prototype driver assistance system with two modules: 1) an intelligent headlight management system that reduces headlight intensity when approaching vehicles are detected to prevent glare, and 2) an alert system that notifies drivers via their phone whether it is safe to pass other vehicles. The system uses sensors like LDR and ultrasonic sensors connected to an Arduino microcontroller to collect data and send alerts to a cloud platform and users' phones. The paper reviews other research on IoT applications for vehicle emissions monitoring, autonomous vehicles, and traffic management. It concludes that such affordable technologies can help mitigate accidents by automatically managing headlights
IRJET- Automatic Metro Train using RFIDIRJET Journal
This document describes an automatic metro train system that uses RFID technology. The system aims to eliminate the need for a driver by allowing the train to run autonomously between stations. An Arduino microcontroller is used as the central processing unit. RFID readers and tags are used to detect when the train arrives at a station, causing it to automatically stop. Door openings and closings are also controlled automatically. The system counts passengers and displays statuses on an LCD screen. It is intended to reduce human errors and improve timetable adherence for metro train systems.
RFID Based School Children Security SystemIRJET Journal
This document describes an RFID-based school children security system that aims to safely transport children to and from school. The system uses RFID tags on the children to monitor their entry and exit from the bus and sends notifications to parents. It also includes sensors to monitor the bus speed, detect if the driver has been drinking alcohol, and ensure children are not left on the bus. The system is intended to address issues where children are sometimes forgotten and not dropped off at the correct bus stop. It uses a microcontroller, GSM module, RFID reader, LCD display, proximity sensor, and alcoholic sensor. The document provides details on the hardware and software components used and concludes the system endeavors to provide safe transportation for school children
IRJET- IoT based Accident Tracking and ReportingIRJET Journal
This document presents a system for IoT-based accident tracking and reporting. When a vehicle accident occurs, a vibration sensor detects the impact and sends a signal to a Node MCU microcontroller. The microcontroller then uses a GSM modem to send an alert message and the vehicle's location from the GPS receiver to emergency services. This allows accidents to be detected quickly and responders to be directed to the scene. The system aims to save lives by speeding up emergency response times. Key components discussed include the vibration sensor, microcontroller, GPS receiver, GSM modem and an overview of how they work together to detect accidents and report the vehicle's location automatically.
1) The document describes an automatic car parking system that uses ultrasonic sensors, infrared sensors, an Arduino Uno, and an LCD display to help drivers find available parking spaces more efficiently.
2) The system obtains information about available parking spaces using sensors, processes the data with the Arduino Uno, and displays the results on the LCD screen to guide drivers to open spots, reducing time spent searching and cutting down on traffic and pollution.
3) The authors developed the system to address the common problem of drivers spending a significant amount of time navigating crowded parking lots in search of a space, which wastes fuel and increases congestion.
IRJET- Automatic Detection of Crack Fault in Railway TrackIRJET Journal
The document describes a proposed system to automatically detect cracks in railway tracks using sensors to improve safety. The system uses IR sensors mounted on a robot to detect cracks, a GPS module to determine the location of any cracks found, and Bluetooth to send the crack location data to a mobile phone or control room. When a crack is detected, the IR sensors send a signal to a NodeMCU microcontroller which triggers an alarm and sends the crack coordinates via Bluetooth. The proposed low-cost system aims to detect cracks faster and more reliably than manual inspection methods to help prevent railway accidents.
This document discusses the development of artificial intelligence and its applications. It describes how computers have transformed many fields over the last 30 years. It then outlines the creator's work developing an affordable lidar system and algorithms for traffic sign recognition to enable low-cost self-driving cars. It shares details of the lidar's electronic design and a simulation of it being used on a car. The creator hopes to use an award to further develop the prototype into a mass producible electronic board.
Re-SPark: Reservation based Smart Parking system using FRDM KL-25ZIRJET Journal
The document describes a prototype of a smart parking system called Re-SPark that uses a sensor network and mobile application to allow users to reserve parking spots in advance. The system detects the occupancy status of individual parking spots using infrared sensors and transmits the data to a database via a wireless module. Users can then access the real-time parking availability data through a mobile app or website to reserve vacant spots. The prototype implementation consists of hardware with IR sensors connected to a microcontroller board and Wi-Fi module, as well as an Android app to allow users to reserve spots and receive confirmation through QR codes.
This document describes a proposed smart traffic management system that uses RFID technology to automatically generate e-challans for vehicles that jump red lights. The system involves fitting vehicles with RFID tags and placing RFID readers at traffic signals linked to a NodeMCU. When a vehicle crosses the signal during a red light, the reader will detect the RFID tag and send the vehicle information to the NodeMCU to automatically generate an e-challan for the offender without human intervention. The proposed system aims to reduce traffic violations and accidents by automating the challan process compared to existing methods that rely on traffic police or CCTV cameras.
IRJET- Low Cost IoT based Remote Health Monitoring SystemIRJET Journal
This document presents a low-cost IoT-based remote health monitoring system that can monitor pulse oximetry, heart rate, and body temperature. The system uses a Wemos Mega development board with an Arduino microcontroller and ESP8266 WiFi chip, along with MAX30105 and MLX90614 sensors. Sensor data is transmitted wirelessly via WiFi to a remote server and can be accessed through a mobile app. The system was tested on 20 volunteers, comparing the data to commercial devices. Future work may focus on miniaturizing components, adding sensors, improving software/security, and using lower power sources.
This document describes a smart car parking system that uses Internet of Things (IoT) technology. Infrared sensors are used to detect when a parking space is occupied or empty. This information is sent over WiFi and displayed on an Android mobile app. The app allows users to check available spaces and book one in advance. When the user parks in the slot, an LED above it will light up green if empty or red if occupied. All parking space status information is stored on a central computer. The system aims to make parking more efficient by reducing drivers' search times and traffic congestion.
IRJET- Intelligent Transport System using IoTIRJET Journal
This system uses IoT to provide real-time information about public buses to passengers. Sensors including touch sensors, a camera, and GPS module are installed on buses to monitor seat availability, passenger count, and location. This information is sent to an IoT board and displayed on a mobile app. The system aims to help passengers know seating availability and estimated arrival times to reduce waiting times at bus stops. It integrates IoT and sensors with a software solution to create an intelligent transportation system with benefits for public transport users.
IRJET- Intelligent Car Parking System commanded by Android ApplicationIRJET Journal
This document proposes an intelligent car parking system using a Raspberry Pi, QR codes, and an Android application. The system aims to automate the parking and unparking of cars to reduce human intervention and the time required for finding empty slots. Users can check parking availability in real-time using the mobile app and reserve slots. Infrared sensors connected to the Raspberry Pi detect occupied/empty slots, and the information is periodically updated to the server database and mobile app. The system is designed to provide more efficient parking operations and enhance the user experience.
This document describes a LoRa-based data acquisition system for monitoring vehicle parameters. The system uses sensors to measure fuel level, temperature, smoke detection, GPS location, humidity, and vibration. An ESP32 microcontroller collects sensor data and transmits it over a LoRa communication link. A NodeMCU microcontroller on the receiving end collects the data and sends it to a Python GUI for display and storage. The system was implemented with hardware components like ESP32, NodeMCU, sensors, and LoRa modules. It allows monitoring vehicle parameters in real-time and alerting users if any issues like low fuel, smoke, or accidents are detected.
IRJET - Real Time Fuel Monitoring and Theft Detection System using IoTIRJET Journal
This document describes a real-time fuel monitoring and theft detection system using IoT. The system uses a flow sensor to measure the amount of fuel dispensed from fuel stations to detect any discrepancies. An ultrasonic sensor is also used to detect any fuel thefts from vehicles. The measured fuel data is sent to a mobile app and cloud database in real-time. If a theft or fraudulent dispensing is detected, an alert is sent to the owner. The system allows for automated monitoring of fuel levels and detection of theft or fraud incidents with low cost electronic components.
IRJET- Efficient IoT based Smart Dustbin for Clean EnvironmentIRJET Journal
This document describes a proposed smart garbage bin system using IoT technology. The system uses ultrasonic sensors to measure garbage levels in bins, an AVR microcontroller to process sensor data and trigger alerts, and a GSM modem to notify authorities when bins reach a threshold level. The system aims to efficiently manage waste collection and avoid overflowing bins. Data from sensor nodes attached to each bin is sent to the cloud for analysis and monitoring of bin fill levels across the city. The smart bin system is expected to improve waste management by automating the collection process.
This document describes a proposed smart card system for integrated fare collection on public transportation networks. Some key points:
- The existing system uses paper tickets/passes which are inefficient. A smart card system using RFID technology is proposed instead.
- In the proposed system, users register online and get a unique code. At the bus depot, staff validate the code and issue an RFID smart card loaded with the user's travel details.
- Cards can be recharged at depots when they expire. RFID readers on buses read the cards to deduct fares or validate passes during trips. This integrated system aims to improve public transport services.
IRJET- High Responsive Smart Parking System using IoTIRJET Journal
This document presents a proposed smart parking system using IoT. The system uses RFID sensors and a PIC microcontroller to detect vehicle occupancy of parking spaces in real-time. This information is sent to a cloud database. A mobile app allows drivers to check parking availability and book spaces. The system aims to address issues like inefficient parking, traffic congestion, and reduced fuel consumption by helping drivers find vacant spaces quickly. It provides real-time parking information and allows contactless payment of fees.
IRJET- Automatic Gate Control and Parking System using AVR ControllerIRJET Journal
This document describes an automatic gate control and parking system that uses an AVR controller. The system uses RFID technology and IR sensors to detect available parking slots and control access. RFID reads tags on vehicles to verify user information and identify vehicles. IR sensors monitor slot occupancy. The AVR controller processes this input and controls a gate motor via signals. It aims to reduce time spent finding parking and increase security by automating entry and slot detection while displaying availability. The system was designed and implemented with an AVR, RFID module, IR sensors, motor driver, and display.
IRJET- Smart Dustbin Container using IoT NotificationIRJET Journal
This document describes a smart dustbin system that uses sensors and IoT technology to monitor garbage levels in public dustbins. An ultrasonic sensor measures the garbage level in the dustbin and an ESP8266 WiFi module sends this data via the internet. When the dustbin reaches 70% capacity, an SMS alert is sent to the local authorities. This notifies them to empty the overflowing dustbin and maintain cleanliness. The system aims to optimize waste collection, reduce costs and pollution from frequent emptying of partially filled dustbins.
IRJET- Automated Targeting System for Open Space Military AreaIRJET Journal
This document describes an automated targeting system for open space military areas using an ultrasonic sensor mounted on a servo motor. The system uses an Arduino microcontroller connected to the ultrasonic sensor and servo motor. When the ultrasonic sensor detects an object within its range, it will trigger the buzzer and display the detection on an LCD screen. The system aims to allow military surveillance of open areas using low-cost components like ultrasonic sensors and servos controlled by an Arduino.
IRJET- Earthquake Early Warning System for AndroidIRJET Journal
This document describes the development of an earthquake early warning system for Android devices. The system uses sensors in smartphones to detect earthquake vibrations and differentiate them from human motion. When an earthquake is detected, a warning is sent to other smartphones via a network. The system aims to enhance current warning systems by leveraging rising mobile and sensor technologies. It discusses developing smartphone software to capture sensor data and perform analytics to identify earthquakes. Evaluation shows smartphones can accurately detect earthquakes and create a new type of seismic network. This would improve safety for communities vulnerable to earthquakes worldwide.
IRJET- RFID based Smart Dustbin for Smart CitiesIRJET Journal
This document describes an RFID-based smart dustbin system for waste management in smart cities. The system uses ultrasonic sensors to monitor waste levels in dustbins and RFID sensors to authenticate users and ensure dustbin security. Data from the sensors is sent to a web server via an IoT modem. When a dustbin becomes full based on ultrasonic readings, the web server notifies cleaning staff via a mobile app. This allows for automated monitoring of waste levels and scheduling of collection to improve waste management efficiency. Security is provided through RFID authentication of dustbin users. The system aims to address current issues with waste management like lack of monitoring and unsanitary practices.
IRJET- Smart Dustbin Container using IoT NotificationIRJET Journal
This document describes a smart dustbin system that uses IoT technology to notify the proper authorities when garbage bins are nearly full. An ultrasonic sensor detects the fill level of the dustbin and an ESP8266 WiFi module sends this data via the internet. When a bin reaches 70% capacity, an SMS alert is sent using a GSM module. This helps waste collection trucks only service bins that need emptying, saving time, fuel and reducing pollution. The system aims to improve waste management and support initiatives for smart cities.
IRJET- IoT based Smart BLACK BOX SystemIRJET Journal
The document describes an IoT-based smart black box system for vehicles. The system uses various sensors like speed sensors, alcohol sensors, and seat belt sensors to continuously monitor vehicle parameters. If an accident occurs, sensor data is sent via IoT to a mobile app to help determine insurance claims. The system aims to improve vehicle and driver safety by predicting risks, monitoring driver behavior, and enabling remote health monitoring of vehicles. It allows for preventative maintenance and reduces costs from accidents, fines, and unnecessary repairs. The system provides real-time monitoring and alerts to improve response time to issues and enhance the customer experience.
Combined IOT and Cloud Computing Solution for Railway Accident AvoidanceIRJET Journal
1. The document proposes an IoT and cloud computing solution to help avoid railway accidents in real-time by detecting damage to railway tracks.
2. Sensors would be installed on railway tracks divided into segments to monitor the voltage passing through. A drop in voltage would indicate damage in that track segment.
3. A Raspberry Pi would receive sensor data and update the status of each track segment on an IoT-based cloud platform. The cloud system would then automatically send SMS alerts to railway authorities about any detected damage.
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.
Design of intelligent transport related issue system based on arm7eSAT Journals
Abstract Now-a-days mode of transportation playing a major role in transport related problems. Every day millions of vehicles are passing through roads, mainly in this transport related issues Time, safety and efficiency are the major factors why because mode of transportation plays an important role in urbanization. Through this paper integrated solution has been offered to the transport related issues based on ARM7. Hence ARM7 is the core which has hardware modules such as RFID,GSM and SPEED SENSOR(split counter) to handle the new transport related problems viz., special zone(school zones, hospital zones, army zones) ,toll gate control, parking slot management and traffic rule violation control are explained in this paper. A professional exploitation of communication link between RF Modems over a wireless channel to facilitate vehicle monitoring, vehicle verification and automated toll collection on highways is proposed Keywords: GSM, IR SENSOR, RFIDTAG, RFID READER, SPEED SENSOR (SPLIT COUNTER)
IRJET - Automatic Toll E-Tickting System for Transportation and Finding o...IRJET Journal
This document describes an automatic toll collection and stolen vehicle detection system using RFID and wireless communication technologies. The system uses RFID modules to automatically collect tolls from moving vehicles by deducting payment from the owner's bank account. It can also detect and locate stolen vehicles by sending SMS alerts and notifications to the vehicle owner and police with the vehicle's location coordinates. The system aims to make toll collection more efficient by eliminating waiting times and reducing manpower needs. It also allows for quicker recovery of stolen vehicles.
Office Automation & Attendance System using IoTIRJET Journal
This document describes an office automation and attendance system using Internet of Things (IoT) technology. The system allows users to remotely control and monitor office appliances like lights and fans using a mobile app. It also implements an RFID-based employee attendance tracking system where employees scan RFID cards to record entry and exit times. The data is sent to a cloud database using an ESP8266 WiFi module. The system aims to automate office tasks and provide remote monitoring capabilities using low-cost IoT components like NodeMCU microcontrollers.
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TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
UNLOCKING HEALTHCARE 4.0: NAVIGATING CRITICAL SUCCESS FACTORS FOR EFFECTIVE I...amsjournal
The Fourth Industrial Revolution is transforming industries, including healthcare, by integrating digital,
physical, and biological technologies. This study examines the integration of 4.0 technologies into
healthcare, identifying success factors and challenges through interviews with 70 stakeholders from 33
countries. Healthcare is evolving significantly, with varied objectives across nations aiming to improve
population health. The study explores stakeholders' perceptions on critical success factors, identifying
challenges such as insufficiently trained personnel, organizational silos, and structural barriers to data
exchange. Facilitators for integration include cost reduction initiatives and interoperability policies.
Technologies like IoT, Big Data, AI, Machine Learning, and robotics enhance diagnostics, treatment
precision, and real-time monitoring, reducing errors and optimizing resource utilization. Automation
improves employee satisfaction and patient care, while Blockchain and telemedicine drive cost reductions.
Successful integration requires skilled professionals and supportive policies, promising efficient resource
use, lower error rates, and accelerated processes, leading to optimized global healthcare outcomes.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
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.