This document describes an air and sound pollution monitoring system using IoT. The system uses sensors to measure air quality parameters like carbon dioxide, nitrogen dioxide, and sound pollution levels. The sensor data is sent to a Raspberry Pi module connected to a GPRS module to transmit the data via mobile networks. The data is stored on a cloud server for remote access and monitoring through a mobile app. The system aims to provide real-time pollution monitoring and alert authorities if fire is detected to help control pollution and ensure public safety.
Communication Methods to build Smart Home Monitoring System: A Surveydbpublications
This document summarizes different communication methods for building smart home monitoring systems. It reviews existing systems that use technologies like Bluetooth, GSM, Wi-Fi, DTMF, and voice commands. It also compares these technologies and their advantages and disadvantages. Specifically, it provides summaries of systems that use Bluetooth and GSM, mobile apps with IoT, Wi-Fi based internet monitoring, DTMF control via mobile phones, and compares popular technologies like Java, Bluetooth, phone lines, Zigbee, home gateways, and Wi-Fi. It concludes that internet modules provide the main advantage of remote control from anywhere while calling systems using DTMF allow control via mobile phone buttons.
IOT Based Environmental Pollution Monitoring SystemIRJET Journal
1) The document describes an IOT-based system to monitor environmental pollution using sensors for air quality, noise, temperature, humidity, and light.
2) The system uses an Arduino Uno board connected to sensors and an ESP8266 WiFi module to transmit sensor data to the cloud.
3) The sensors measure levels of carbon monoxide, noise, temperature, humidity, and light. The data is transmitted wirelessly via the ESP8266 module and stored in the cloud for monitoring on smartphones and computers.
This document outlines a project to monitor pollution levels using IoT. The objectives are to monitor air pollution using sensors for CO, NO2, temperature, and other gases, as well as monitor water quality using sensors for pH, temperature, and turbidity. Data from the sensors will be sent to the cloud for analysis and generating reports. Based on the reports, actions can be taken to control pollution levels before they exceed critical thresholds. Block diagrams show the system setup using a Raspberry Pi 3 to connect sensors for air pollution monitoring of gases, sound, and temperature, and for water quality monitoring of pH, temperature, and turbidity.
IOT Based Air Pollution Monitoring System using ArduinoIRJET Journal
This document describes an IOT-based air pollution monitoring system using Arduino. The system uses sensors to monitor the levels of pollutants like CO2, smoke, LPG, and other gases. It displays the air quality levels in parts per million (PPM) on an LCD screen and web page. When pollution levels exceed certain thresholds, it triggers an alarm. The system aims to allow monitoring of air pollution from anywhere using the internet. It uses an Arduino microcontroller, WiFi module, gas sensors, LCD display, and buzzer. The sensors detect pollution and send data to Arduino, which transmits it over WiFi. This allows authorities to monitor levels in different areas and take appropriate action when
IRJET- Environmental Analysis in IoT using Raspberry PiIRJET Journal
This document describes a system that monitors environmental conditions like temperature, humidity, light intensity, and gas levels using sensors and a Raspberry Pi. The sensors collect data that is sent over the internet and displayed on a web page. The system aims to allow remote monitoring of weather conditions anywhere in the world using Internet of Things (IoT) technology. The sensors measure environmental data that is processed by the Raspberry Pi and displayed on an LCD screen. Readings are also sent to a cloud database and displayed as graphs online. If readings exceed thresholds, alert messages are sent by text message. The system provides a low-cost and portable way to remotely monitor weather using common IoT components like sensors and a Raspberry Pi single-board
IRJET - Wireless Monitoring and Controlling of Greenhouse EnvironmentIRJET Journal
This document presents a system for wirelessly monitoring and controlling the greenhouse environment. The system uses sensors to monitor temperature, humidity, soil moisture, and light levels. A local station collects sensor data via a microcontroller and transmits it wirelessly to a central station using Zigbee. The central station is a PC that can analyze the data and send control signals back to actuators at the local station, such as heaters or sprinklers, to maintain optimal environmental conditions for plant growth. The system aims to independently control the greenhouse environment for maximum crop yields.
IRJET - Study on Smart Air Pollution Monitoring System based on IoTIRJET Journal
This document describes a study on developing a smart air pollution monitoring system based on the Internet of Things (IoT). It discusses how IoT can be used to effectively monitor air quality levels using sensors to detect gases like carbon dioxide, carbon monoxide, and more. The system would use sensors connected to a Raspberry Pi microcontroller to collect air quality data and transmit it wirelessly to a server. This would allow air quality levels to be monitored remotely in real-time. The document outlines the different layers of the system, including the perception layer with sensors, system layer for wireless data transmission, and application layer for processing and analyzing the air pollution data. Related works applying IoT and sensors for air pollution monitoring are also summarized.
This document describes a system for monitoring weather conditions in a greenhouse using IoT technology. Sensors measure temperature and humidity and send the data via an Arduino Uno microcontroller to a web server. Users can then access the sensor data through the internet from anywhere in real-time. The system automatically controls devices like sprinklers or coolers if the sensor readings exceed set thresholds, and sends alerts to users. The technology allows for low-cost and flexible monitoring and control of greenhouse conditions without needing a dedicated server.
Communication Methods to build Smart Home Monitoring System: A Surveydbpublications
This document summarizes different communication methods for building smart home monitoring systems. It reviews existing systems that use technologies like Bluetooth, GSM, Wi-Fi, DTMF, and voice commands. It also compares these technologies and their advantages and disadvantages. Specifically, it provides summaries of systems that use Bluetooth and GSM, mobile apps with IoT, Wi-Fi based internet monitoring, DTMF control via mobile phones, and compares popular technologies like Java, Bluetooth, phone lines, Zigbee, home gateways, and Wi-Fi. It concludes that internet modules provide the main advantage of remote control from anywhere while calling systems using DTMF allow control via mobile phone buttons.
IOT Based Environmental Pollution Monitoring SystemIRJET Journal
1) The document describes an IOT-based system to monitor environmental pollution using sensors for air quality, noise, temperature, humidity, and light.
2) The system uses an Arduino Uno board connected to sensors and an ESP8266 WiFi module to transmit sensor data to the cloud.
3) The sensors measure levels of carbon monoxide, noise, temperature, humidity, and light. The data is transmitted wirelessly via the ESP8266 module and stored in the cloud for monitoring on smartphones and computers.
This document outlines a project to monitor pollution levels using IoT. The objectives are to monitor air pollution using sensors for CO, NO2, temperature, and other gases, as well as monitor water quality using sensors for pH, temperature, and turbidity. Data from the sensors will be sent to the cloud for analysis and generating reports. Based on the reports, actions can be taken to control pollution levels before they exceed critical thresholds. Block diagrams show the system setup using a Raspberry Pi 3 to connect sensors for air pollution monitoring of gases, sound, and temperature, and for water quality monitoring of pH, temperature, and turbidity.
IOT Based Air Pollution Monitoring System using ArduinoIRJET Journal
This document describes an IOT-based air pollution monitoring system using Arduino. The system uses sensors to monitor the levels of pollutants like CO2, smoke, LPG, and other gases. It displays the air quality levels in parts per million (PPM) on an LCD screen and web page. When pollution levels exceed certain thresholds, it triggers an alarm. The system aims to allow monitoring of air pollution from anywhere using the internet. It uses an Arduino microcontroller, WiFi module, gas sensors, LCD display, and buzzer. The sensors detect pollution and send data to Arduino, which transmits it over WiFi. This allows authorities to monitor levels in different areas and take appropriate action when
IRJET- Environmental Analysis in IoT using Raspberry PiIRJET Journal
This document describes a system that monitors environmental conditions like temperature, humidity, light intensity, and gas levels using sensors and a Raspberry Pi. The sensors collect data that is sent over the internet and displayed on a web page. The system aims to allow remote monitoring of weather conditions anywhere in the world using Internet of Things (IoT) technology. The sensors measure environmental data that is processed by the Raspberry Pi and displayed on an LCD screen. Readings are also sent to a cloud database and displayed as graphs online. If readings exceed thresholds, alert messages are sent by text message. The system provides a low-cost and portable way to remotely monitor weather using common IoT components like sensors and a Raspberry Pi single-board
IRJET - Wireless Monitoring and Controlling of Greenhouse EnvironmentIRJET Journal
This document presents a system for wirelessly monitoring and controlling the greenhouse environment. The system uses sensors to monitor temperature, humidity, soil moisture, and light levels. A local station collects sensor data via a microcontroller and transmits it wirelessly to a central station using Zigbee. The central station is a PC that can analyze the data and send control signals back to actuators at the local station, such as heaters or sprinklers, to maintain optimal environmental conditions for plant growth. The system aims to independently control the greenhouse environment for maximum crop yields.
IRJET - Study on Smart Air Pollution Monitoring System based on IoTIRJET Journal
This document describes a study on developing a smart air pollution monitoring system based on the Internet of Things (IoT). It discusses how IoT can be used to effectively monitor air quality levels using sensors to detect gases like carbon dioxide, carbon monoxide, and more. The system would use sensors connected to a Raspberry Pi microcontroller to collect air quality data and transmit it wirelessly to a server. This would allow air quality levels to be monitored remotely in real-time. The document outlines the different layers of the system, including the perception layer with sensors, system layer for wireless data transmission, and application layer for processing and analyzing the air pollution data. Related works applying IoT and sensors for air pollution monitoring are also summarized.
This document describes a system for monitoring weather conditions in a greenhouse using IoT technology. Sensors measure temperature and humidity and send the data via an Arduino Uno microcontroller to a web server. Users can then access the sensor data through the internet from anywhere in real-time. The system automatically controls devices like sprinklers or coolers if the sensor readings exceed set thresholds, and sends alerts to users. The technology allows for low-cost and flexible monitoring and control of greenhouse conditions without needing a dedicated server.
IRJET- IoT based Air Pollution Monitoring System to Create a Smart EnvironmentIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses sensors and the Arduino microcontroller to collect real-time air quality data from specific locations. The data is analyzed against a threshold and sent to authorities if pollution levels exceed limits. It also activates an alert system to warn surrounding people. The system aims to remotely monitor pollution without human interaction using Internet of Things technology. This creates a smart environment for reducing health issues from industrial activities by finding solutions to harmful gas emissions.
IRJET- AI to Analyze and Extract Data to Gain Insights About the Spread o...IRJET Journal
This document describes a system that uses sensors and machine learning to analyze air quality and predict pollution levels. The system collects data from sensors that measure gases like carbon monoxide and nitrogen dioxide. This data is processed using machine learning algorithms to analyze current pollution levels and predict future levels over the next 24 hours. The system aims to provide reliable air quality information to help governments and organizations address pollution issues. It offers a low-cost and mobile alternative to existing stationary sensor systems.
IRJET - IoT based Air Quality Monitoring SystemIRJET Journal
This document describes an IoT-based air quality monitoring system that uses sensors to detect various air pollutants and transmits the data to the cloud platform Thingspeak. The system uses gas sensors connected to an Arduino board to measure pollutants like carbon monoxide, nitrogen dioxide, ammonia, and nitric oxide. The sensor data is sent over WiFi to Thingspeak using an ESP01 module where it can be visualized in graphs. The system provides low-cost, real-time air quality monitoring and alerts authorities when pollution levels exceed safe limits.
This is our final year project. We are getting the accurate result of our project. So you can refer what do you want from this. We mainly implements the IoT concept here. So handling of data from anywhere in the world. Thank you...
This document provides a review of Internet of Things (IoT) technology and its applications in industry. It discusses how IoT allows for remote monitoring and control of industrial machines using sensors, microcontrollers and the internet. Specifically, it proposes an IoT system to monitor and control an etching machine used in printed circuit board manufacturing. The system would use sensors to monitor temperature and machine parameters, a Raspberry Pi for data collection and control, and a webpage for remote access from any smartphone or internet connection, allowing workers to oversee the machine from anywhere. The document reviews several related works applying IoT in other industries and concludes that the proposed system would provide a useful way to remotely monitor and control industrial equipment.
IRJET- IoT based Industrial Pollution Monitoring SystemIRJET Journal
This document describes an IoT-based system to monitor industrial pollution. The system uses various sensors to measure parameters like temperature, gases, dust and sends the data to the cloud using a WiFi module. A PIC microcontroller collects data from the sensors and sends it to the cloud where it can be accessed through a browser. The system aims to continuously monitor industrial pollution levels and alert when emissions increase to help control pollution and ensure worker safety.
IRJET - Monitoring Indoor Air Quality in IndustriesIRJET Journal
This document describes a system for monitoring indoor air quality in industries using Internet of Things (IoT) technology. Sensors are connected to an Arduino microcontroller to measure parameters like temperature, humidity, carbon monoxide, smoke and LPG levels. The sensor data is sent to the cloud via a NodeMCU module. This allows users to access the indoor air quality information from anywhere using mobile apps or web applications. The system aims to provide real-time monitoring to improve worker safety and health by avoiding exposure to harmful air pollutants.
IRJET- Household IOT based Air Pollution Controlling and Monitoring System us...IRJET Journal
This document describes a household air pollution controlling and monitoring system using Arduino. The system uses sensors to identify greenhouse gases and measure radiation from pollutants. An Arduino board with a SIM800L GPRS GSM module sends sensor readings to a server via MEAN stack. If gas levels exceed thresholds, the system triggers an oxidizing agent and sends an alert. The recorded data is analyzed to check gas levels every 5 minutes and balance atmospheric conditions. The system combines IoT and time series analysis to monitor pollution and control it before it becomes hazardous.
IRJET-E-Waste Management using RoboticsIRJET Journal
This document describes a proposed air quality monitoring system for cities using IoT technology. The system would use sensors to measure pollutants, temperature, humidity and air quality index in various locations. The sensor data would be wirelessly transmitted via Wi-Fi modules to a server hosting a website. The website would display the sensor readings in tabular form and provide alerts, news, and surveys about air pollution levels to raise public awareness. The proposed system was intended to be implemented using Arduino boards connected to sensors and ESP8266 Wi-Fi modules to transmit data to a cloud-based server and website.
Industrial Data Acquisition, Management and Controlling using IoTIRJET Journal
The document discusses a system for monitoring industrial resources using IoT. Sensors like DHT11 and MQ-2 are connected to a Raspberry Pi to measure temperature, humidity, and gas emissions from resources. The sensor data is sent remotely and stored in a Google spreadsheet. This allows users to monitor resource conditions from anywhere. The system aims to improve resource efficiency and enable remote automation and control based on sensor readings.
IRJET- Plant Growth Analysis and Prediction using VAEA – (Virtual Agri Enviro...IRJET Journal
This document describes a Virtual Agri Environmental Analyzer (VAEA) system that uses IoT technologies and machine learning to analyze plant growth and predict conditions for maximum crop yields. The system monitors environmental conditions like temperature, humidity and soil moisture with sensors connected to a Raspberry Pi. It controls actuators like grow lights, fans and fog systems to maintain optimal growing conditions. Sensor data is sent to a cloud platform for visualization and analysis using machine learning algorithms to predict maximum yielding conditions for crops. The system aims to help farmers test crop suitability for different environments and maximize agricultural production.
IRJET- IoT based Noise and Pollution Monitoring SystemIRJET Journal
This document describes an IoT-based system for monitoring noise and air pollution using sensors. The system uses sensors to measure noise levels, air quality, temperature, humidity and other parameters. It connects the sensors to a NodeMCU microcontroller which sends the sensor data to the cloud. Users can access the real-time pollution data through a Blynk mobile app. When parameter levels exceed thresholds, alerts are sent to authorities. The system aims to provide low-cost, real-time pollution monitoring to make environments smarter and more eco-friendly.
IRJET- Air Pollution Monitoring System using IoTIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses sensors to detect pollutants like CO2, temperature, and humidity in the air. The system collects air quality data using sensors connected to an Arduino board, and transmits the data via WiFi to a cloud database. When pollutant levels exceed a threshold, a buzzer is activated. The system provides real-time air quality information and alerts to improve pollution monitoring and public health.
IRJET- Smart Garbage Monitoring System using Internet Of ThingsIRJET Journal
This document proposes an IoT-based smart garbage monitoring system that uses sensors to detect waste levels in bins and notify authorities. Ultrasonic and IR sensors attached to bins can monitor fill levels and detect nearby people. An Arduino microcontroller interfaces with the sensors and an IoT system. When bins are full, an LED alerts and the system notifies officials via the IoT network. The system aims to optimize waste collection routes and schedules to improve efficiency while promoting cleanliness under India's Swachh Bharat initiative.
The document describes a proposed garbage monitoring system using IoT. It aims to develop an efficient system to monitor garbage levels using ultrasonic sensors placed over bins. This would allow for immediate emptying of bins before they reach capacity. The system is intended to address current inefficient garbage collection and prevent unhygienic conditions. It will use sensors connected to a Node MCU microcontroller to detect and transmit bin levels via a GSM modem. An LCD display and cloud data will allow monitoring of bin statuses. The development will follow an iterative process to allow for changes and risk analysis.
IRJET- Garbage Waste Monitoring and Management in Smart CitiesIRJET Journal
The document describes a proposed smart garbage monitoring system for cities using IoT technologies. Sensors like ultrasonic, PIR, DHT, and gas would be installed in garbage bins to monitor fill level, human presence, temperature/humidity, and gases. An Arduino, WiFi module, and smart card reader would collect and transmit the bin data via an Android app. When a bin gets full, a notification would be sent to cleaning staff. The system aims to automatically monitor bin levels and statuses in real-time to improve waste management and cleanliness in cities compared to existing manual monitoring methods.
IRJET- IoT based Greenhouse Monitoring using PIC16F877AIRJET Journal
This document describes an IoT-based system for monitoring environmental conditions like temperature, humidity, light, and soil moisture in a greenhouse using sensors and a PIC16F877A microcontroller. The sensor data is sent via a GPRS modem to a webpage where it is displayed graphically. This allows farmers to remotely monitor conditions in the greenhouse from anywhere. The system aims to automate greenhouse monitoring to improve agriculture through precision farming using sensors, microcontrollers, and cloud connectivity through IoT.
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- Design and Development of IoT based Geiger Muller CounterIRJET Journal
The document describes the design and development of an Internet of Things (IoT) based portable Geiger-Muller counter. The system consists of a Sparkfun Geiger counter board, NodeMCU microcontroller, and Blynk app for cloud services. Radiation levels are measured by the Geiger counter and sent via WiFi to the Blynk cloud server. The Blynk app stores and visualizes the radiation data in real-time on an Android mobile device. The system was tested in the laboratory and found to accurately measure radiation levels in agreement with standards.
IRJET- IoT based Smart Greenhouse Automation SystemIRJET Journal
This document describes an IoT-based smart greenhouse automation system that monitors and controls the greenhouse environment. Sensors measure temperature, humidity, light, pH, and soil moisture. A microcontroller collects the sensor data and sends it to an Android application via cloud computing. The application allows farmers to remotely monitor parameters and control actuators like heaters, fans, and pumps to maintain optimal conditions. The system aims to automate greenhouse monitoring and control to maximize crop yields, reduce costs, and allow remote operation.
IRJET- Automated Smart Greenhouse Environment using IoTIRJET Journal
This document describes an automated smart greenhouse system using Internet of Things (IoT) technology. Sensors are used to monitor environmental parameters like temperature, humidity, soil moisture, light intensity, and pH levels. An Arduino microcontroller collects data from the sensors and sends it over WiFi or Ethernet to a cloud server. Users can access the sensor data through a mobile app to remotely monitor greenhouse conditions. If any parameters exceed a threshold, the system can automatically control actuators like fans, pumps, and lights to regulate the greenhouse environment. The system aims to help farmers efficiently manage greenhouse agriculture without constant on-site presence.
IRJET- Air Quality Monitoring System for CityIRJET Journal
This document describes the design and implementation of an air quality monitoring system for a city using Internet of Things (IoT) technology. Sensors are used to measure parameters like PM2.5, temperature, humidity and air quality index. The monitored data is transmitted wirelessly via Wi-Fi module to a cloud server. A website displays the sensor data and provides information on air quality. The system was deployed in various locations at Government College of Engineering, Amravati to monitor air quality. The data collected showed variation in readings between locations and the system was able to successfully monitor air quality parameters over a 2 week period.
IRJET- IoT based Air Pollution Monitoring System to Create a Smart EnvironmentIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses sensors and the Arduino microcontroller to collect real-time air quality data from specific locations. The data is analyzed against a threshold and sent to authorities if pollution levels exceed limits. It also activates an alert system to warn surrounding people. The system aims to remotely monitor pollution without human interaction using Internet of Things technology. This creates a smart environment for reducing health issues from industrial activities by finding solutions to harmful gas emissions.
IRJET- AI to Analyze and Extract Data to Gain Insights About the Spread o...IRJET Journal
This document describes a system that uses sensors and machine learning to analyze air quality and predict pollution levels. The system collects data from sensors that measure gases like carbon monoxide and nitrogen dioxide. This data is processed using machine learning algorithms to analyze current pollution levels and predict future levels over the next 24 hours. The system aims to provide reliable air quality information to help governments and organizations address pollution issues. It offers a low-cost and mobile alternative to existing stationary sensor systems.
IRJET - IoT based Air Quality Monitoring SystemIRJET Journal
This document describes an IoT-based air quality monitoring system that uses sensors to detect various air pollutants and transmits the data to the cloud platform Thingspeak. The system uses gas sensors connected to an Arduino board to measure pollutants like carbon monoxide, nitrogen dioxide, ammonia, and nitric oxide. The sensor data is sent over WiFi to Thingspeak using an ESP01 module where it can be visualized in graphs. The system provides low-cost, real-time air quality monitoring and alerts authorities when pollution levels exceed safe limits.
This is our final year project. We are getting the accurate result of our project. So you can refer what do you want from this. We mainly implements the IoT concept here. So handling of data from anywhere in the world. Thank you...
This document provides a review of Internet of Things (IoT) technology and its applications in industry. It discusses how IoT allows for remote monitoring and control of industrial machines using sensors, microcontrollers and the internet. Specifically, it proposes an IoT system to monitor and control an etching machine used in printed circuit board manufacturing. The system would use sensors to monitor temperature and machine parameters, a Raspberry Pi for data collection and control, and a webpage for remote access from any smartphone or internet connection, allowing workers to oversee the machine from anywhere. The document reviews several related works applying IoT in other industries and concludes that the proposed system would provide a useful way to remotely monitor and control industrial equipment.
IRJET- IoT based Industrial Pollution Monitoring SystemIRJET Journal
This document describes an IoT-based system to monitor industrial pollution. The system uses various sensors to measure parameters like temperature, gases, dust and sends the data to the cloud using a WiFi module. A PIC microcontroller collects data from the sensors and sends it to the cloud where it can be accessed through a browser. The system aims to continuously monitor industrial pollution levels and alert when emissions increase to help control pollution and ensure worker safety.
IRJET - Monitoring Indoor Air Quality in IndustriesIRJET Journal
This document describes a system for monitoring indoor air quality in industries using Internet of Things (IoT) technology. Sensors are connected to an Arduino microcontroller to measure parameters like temperature, humidity, carbon monoxide, smoke and LPG levels. The sensor data is sent to the cloud via a NodeMCU module. This allows users to access the indoor air quality information from anywhere using mobile apps or web applications. The system aims to provide real-time monitoring to improve worker safety and health by avoiding exposure to harmful air pollutants.
IRJET- Household IOT based Air Pollution Controlling and Monitoring System us...IRJET Journal
This document describes a household air pollution controlling and monitoring system using Arduino. The system uses sensors to identify greenhouse gases and measure radiation from pollutants. An Arduino board with a SIM800L GPRS GSM module sends sensor readings to a server via MEAN stack. If gas levels exceed thresholds, the system triggers an oxidizing agent and sends an alert. The recorded data is analyzed to check gas levels every 5 minutes and balance atmospheric conditions. The system combines IoT and time series analysis to monitor pollution and control it before it becomes hazardous.
IRJET-E-Waste Management using RoboticsIRJET Journal
This document describes a proposed air quality monitoring system for cities using IoT technology. The system would use sensors to measure pollutants, temperature, humidity and air quality index in various locations. The sensor data would be wirelessly transmitted via Wi-Fi modules to a server hosting a website. The website would display the sensor readings in tabular form and provide alerts, news, and surveys about air pollution levels to raise public awareness. The proposed system was intended to be implemented using Arduino boards connected to sensors and ESP8266 Wi-Fi modules to transmit data to a cloud-based server and website.
Industrial Data Acquisition, Management and Controlling using IoTIRJET Journal
The document discusses a system for monitoring industrial resources using IoT. Sensors like DHT11 and MQ-2 are connected to a Raspberry Pi to measure temperature, humidity, and gas emissions from resources. The sensor data is sent remotely and stored in a Google spreadsheet. This allows users to monitor resource conditions from anywhere. The system aims to improve resource efficiency and enable remote automation and control based on sensor readings.
IRJET- Plant Growth Analysis and Prediction using VAEA – (Virtual Agri Enviro...IRJET Journal
This document describes a Virtual Agri Environmental Analyzer (VAEA) system that uses IoT technologies and machine learning to analyze plant growth and predict conditions for maximum crop yields. The system monitors environmental conditions like temperature, humidity and soil moisture with sensors connected to a Raspberry Pi. It controls actuators like grow lights, fans and fog systems to maintain optimal growing conditions. Sensor data is sent to a cloud platform for visualization and analysis using machine learning algorithms to predict maximum yielding conditions for crops. The system aims to help farmers test crop suitability for different environments and maximize agricultural production.
IRJET- IoT based Noise and Pollution Monitoring SystemIRJET Journal
This document describes an IoT-based system for monitoring noise and air pollution using sensors. The system uses sensors to measure noise levels, air quality, temperature, humidity and other parameters. It connects the sensors to a NodeMCU microcontroller which sends the sensor data to the cloud. Users can access the real-time pollution data through a Blynk mobile app. When parameter levels exceed thresholds, alerts are sent to authorities. The system aims to provide low-cost, real-time pollution monitoring to make environments smarter and more eco-friendly.
IRJET- Air Pollution Monitoring System using IoTIRJET Journal
This document describes an IoT-based air pollution monitoring system that uses sensors to detect pollutants like CO2, temperature, and humidity in the air. The system collects air quality data using sensors connected to an Arduino board, and transmits the data via WiFi to a cloud database. When pollutant levels exceed a threshold, a buzzer is activated. The system provides real-time air quality information and alerts to improve pollution monitoring and public health.
IRJET- Smart Garbage Monitoring System using Internet Of ThingsIRJET Journal
This document proposes an IoT-based smart garbage monitoring system that uses sensors to detect waste levels in bins and notify authorities. Ultrasonic and IR sensors attached to bins can monitor fill levels and detect nearby people. An Arduino microcontroller interfaces with the sensors and an IoT system. When bins are full, an LED alerts and the system notifies officials via the IoT network. The system aims to optimize waste collection routes and schedules to improve efficiency while promoting cleanliness under India's Swachh Bharat initiative.
The document describes a proposed garbage monitoring system using IoT. It aims to develop an efficient system to monitor garbage levels using ultrasonic sensors placed over bins. This would allow for immediate emptying of bins before they reach capacity. The system is intended to address current inefficient garbage collection and prevent unhygienic conditions. It will use sensors connected to a Node MCU microcontroller to detect and transmit bin levels via a GSM modem. An LCD display and cloud data will allow monitoring of bin statuses. The development will follow an iterative process to allow for changes and risk analysis.
IRJET- Garbage Waste Monitoring and Management in Smart CitiesIRJET Journal
The document describes a proposed smart garbage monitoring system for cities using IoT technologies. Sensors like ultrasonic, PIR, DHT, and gas would be installed in garbage bins to monitor fill level, human presence, temperature/humidity, and gases. An Arduino, WiFi module, and smart card reader would collect and transmit the bin data via an Android app. When a bin gets full, a notification would be sent to cleaning staff. The system aims to automatically monitor bin levels and statuses in real-time to improve waste management and cleanliness in cities compared to existing manual monitoring methods.
IRJET- IoT based Greenhouse Monitoring using PIC16F877AIRJET Journal
This document describes an IoT-based system for monitoring environmental conditions like temperature, humidity, light, and soil moisture in a greenhouse using sensors and a PIC16F877A microcontroller. The sensor data is sent via a GPRS modem to a webpage where it is displayed graphically. This allows farmers to remotely monitor conditions in the greenhouse from anywhere. The system aims to automate greenhouse monitoring to improve agriculture through precision farming using sensors, microcontrollers, and cloud connectivity through IoT.
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- Design and Development of IoT based Geiger Muller CounterIRJET Journal
The document describes the design and development of an Internet of Things (IoT) based portable Geiger-Muller counter. The system consists of a Sparkfun Geiger counter board, NodeMCU microcontroller, and Blynk app for cloud services. Radiation levels are measured by the Geiger counter and sent via WiFi to the Blynk cloud server. The Blynk app stores and visualizes the radiation data in real-time on an Android mobile device. The system was tested in the laboratory and found to accurately measure radiation levels in agreement with standards.
IRJET- IoT based Smart Greenhouse Automation SystemIRJET Journal
This document describes an IoT-based smart greenhouse automation system that monitors and controls the greenhouse environment. Sensors measure temperature, humidity, light, pH, and soil moisture. A microcontroller collects the sensor data and sends it to an Android application via cloud computing. The application allows farmers to remotely monitor parameters and control actuators like heaters, fans, and pumps to maintain optimal conditions. The system aims to automate greenhouse monitoring and control to maximize crop yields, reduce costs, and allow remote operation.
IRJET- Automated Smart Greenhouse Environment using IoTIRJET Journal
This document describes an automated smart greenhouse system using Internet of Things (IoT) technology. Sensors are used to monitor environmental parameters like temperature, humidity, soil moisture, light intensity, and pH levels. An Arduino microcontroller collects data from the sensors and sends it over WiFi or Ethernet to a cloud server. Users can access the sensor data through a mobile app to remotely monitor greenhouse conditions. If any parameters exceed a threshold, the system can automatically control actuators like fans, pumps, and lights to regulate the greenhouse environment. The system aims to help farmers efficiently manage greenhouse agriculture without constant on-site presence.
IRJET- Air Quality Monitoring System for CityIRJET Journal
This document describes the design and implementation of an air quality monitoring system for a city using Internet of Things (IoT) technology. Sensors are used to measure parameters like PM2.5, temperature, humidity and air quality index. The monitored data is transmitted wirelessly via Wi-Fi module to a cloud server. A website displays the sensor data and provides information on air quality. The system was deployed in various locations at Government College of Engineering, Amravati to monitor air quality. The data collected showed variation in readings between locations and the system was able to successfully monitor air quality parameters over a 2 week period.
IRJET- IOT Based Air and Sound Pollution Monitoring SystemIRJET Journal
This document describes an IOT-based air and sound pollution monitoring system. The system uses sensors to detect levels of air pollutants like CO2, SO2, and CO as well as sound pollution. An Arduino board collects data from the sensors and sends it via WiFi to a mobile application. When pollution levels exceed thresholds, alerts like buzzers and LEDs are activated. The system is designed to allow authorities and local residents to monitor pollution levels remotely using a mobile app in order to take appropriate actions to control pollution.
IRJET- Home Automation using IoT: ReviewIRJET Journal
This document summarizes research on using Internet of Things (IoT) technology for home automation and security. It discusses how IoT allows devices in the home to be controlled remotely through a smartphone app and can automate tasks. The document also reviews different approaches others have taken to implement smart home security systems using sensors and microcontrollers connected to the Internet. It describes the typical architecture of an IoT system including sensor, network, and application layers. Finally, it summarizes several research papers on developing smart home and kitchen monitoring systems using technologies like Arduino, Raspberry Pi, and sensors for functions like detecting fires, gas leaks, and intruders.
This system monitors the work of laborers in an industry by recording the operation time of machines and details of the workers operating them. The system uses an Arduino microcontroller connected to WiFi, RFID, IR sensors and other hardware. RFID tags identify each worker and the sensors track machine usage time and production quantity. This data is sent over WiFi to a web server where it can be viewed on a webpage by management. The system aims to give management better visibility into production monitoring and labor efficiency to improve productivity.
IRJET - Garbage Management System for Smart City using LORA TechnologyIRJET Journal
This document describes a proposed garbage management system for smart cities using LoRa technology. The system would involve setting up smart waste bins equipped with sensors to detect fill level and harmful gases. The bins would transmit sensor data via LoRa technology to provide real-time bin status updates and alerts. When bins reach a certain fill level, the system would notify waste collection vehicles to optimize collection routes. The proposed system was designed with an Arduino microcontroller interfaced with ultrasonic, IR, and gas sensors to monitor bins remotely. LoRa technology allows long-range communication without much power and could provide a more efficient waste collection process.
SMART INDUSTRY MONITORING AND CONROLLING SYSTEM USING IOTIRJET Journal
The document describes a smart industry monitoring and controlling system using IoT. It proposes a system that uses various sensors to monitor environmental conditions and safety hazards. The system sends SMS alerts and updates a web server in real time. Two tests were conducted to evaluate the functionality of the sensors and the reliability of the transmitting section by measuring SMS delivery times and updates to the web server. While the system was successful, further improvements are needed to account for network issues and service quality.
IRJET- Fuel Theft Detection Location Tracing using Internet of ThingsIRJET Journal
This document summarizes a research paper on a fuel theft detection and location tracing system using Internet of Things. It discusses how the current framework has low accuracy in detecting fuel theft from vehicle tanks. The proposed system uses a flow sensor to calculate the amount of fuel filled and an ultrasonic sensor to continuously monitor the fuel level. If a sudden drop in fuel level is detected, the system will ring an alarm and notify the vehicle owner. It also allows fraudulent activities to be directly reported to authorities. The system stores historical data for future use.
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- A Study on IOT Approach for Monitoring Water Quality using MQTT Al...IRJET Journal
This document describes a study on using an Internet of Things (IOT) approach to monitor water quality using the MQTT (Message Queuing Telemetry Transport) algorithm. The study developed a low-cost system to measure water quality parameters such as pH, temperature, and dissolved oxygen in real-time using sensors. The MQTT algorithm allows data from the sensors to be published and subscribed between the sensor system and end devices simultaneously. This provides faster, more reliable, and secure data transmission compared to previous methods. The data is analyzed using the Naive Bayes' theorem to determine water quality.
IOT Based Air & Sound Pollution Monitoring system using Raspberry piIRJET Journal
This document describes an IOT-based air and sound pollution monitoring system using a Raspberry Pi. The system collects data from gas sensors, a sound sensor, and a temperature sensor about air quality and noise levels. The Raspberry Pi processes this sensor data and sends it over WiFi to the cloud for storage and remote access via mobile devices. The data is also displayed locally on an LCD screen and alarms sound if pollution/noise thresholds are exceeded. The system provides real-time environmental monitoring and aims to increase awareness about air and noise pollution levels.
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.
OPC Protocol Application for Real-Time Carbon Monitoring System for Industria...IJECEIAES
Global warming is referred to the rise in average surface temperatures on earth primarily due to the Greenhouse Gases (GHG) emissions such as Carbon Dioxide (CO ). Monitoring the emissions, either direct or indirect from the industrial processes, is important to control or to minimize their impact on the environment. Most of the existing environmental monitoring system is being designed and developed for normal environment monitoring. Hence, the aim of this project is to develop industrial CO 2 emission monitoring system which implements industrial Open Platform Communications (OPC) protocol in an embedded microcontroller. The software algorithm based on OPC data format has been designed and programmed into the Arduino microcontroller to interface the sensor data to any existing industrial OPC compliant Supervisory Control and Data Acquisition (SCADA) system. The system has been successfully tested in a lab with the suitable environment for real-time CO emissions measurement. The real-time measurement data has been shown in an industrial SCADA application which indicates successful implementation of the OPC communications protocol.
IRJET - Solid Waste Monitoring using IoTIRJET Journal
This document describes a smart waste management system using IoT and cloud computing. An ultrasonic sensor and gas sensor are placed in smart waste bins to detect waste levels and harmful gases. This data is sent to a cloud platform called Thingspeak via an Arduino board and Ethernet shield. The data is analyzed and visualized on Thingspeak. A mobile app allows citizens to view waste bin statuses in real-time. When bins are full, the system notifies municipal authorities to improve waste collection efficiency and reduce environmental impacts from overflowing waste. The system aims to remotely monitor waste levels, detect gases, and alert authorities to prioritize emptying full bins.
COAL MINE SAFETY INTELLIGENT MONITORING BASED ON WIRELESS SENSOR NETWORKIRJET Journal
The document describes a proposed wireless sensor network system for monitoring coal mine safety. The system would use sensors to monitor temperature, gas levels, and other factors. An ESP32 controller would collect data from the sensors. A LoRa module would transmit the sensor data wirelessly to a receiving station. The receiving station would analyze the data and alert workers if dangerous conditions were detected. The system aims to improve safety monitoring and response times in coal mines.
SMART WASTE MANAGEMENT SYSTEM USING IOTIRJET Journal
This document proposes a smart waste management system using IoT to address issues with the proper collection of garbage in cities. It describes a system that uses sensors like moisture sensors and IR sensors connected to a microcontroller to automatically detect waste levels and categories in bins. When waste reaches a threshold, it alerts authorities via GSM/GPRS. The system aims to streamline waste collection, reduce manual work, and properly separate dry and wet waste to maximize benefits and minimize actual waste. It provides block diagrams and descriptions of the hardware components like the ESP8266 microcontroller, sensors, motor driver and methodology behind how the system would function.
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.
Automatic Irrigation System using IoT. IRJET Journal
This document summarizes an academic paper that proposes an automatic irrigation system using IoT (Internet of Things) technology. The system uses sensors to monitor soil moisture levels and sends the data via an Android application to a database. If the soil moisture is low, the system automatically turns on the water pump. The system aims to reduce water loss and the time farmers spend monitoring fields. It was tested successfully in irrigating a plant. Future work could expand it for larger areas of land and integrate additional sensors to monitor soil quality and crop growth.
An Efficient Tracking System for Air and Sound.pdfAakash Sheelvant
This document describes a proposed system for efficiently tracking air and sound pollution using IoT technology. The system uses sensors to monitor air quality and sound levels, sending the data to a microcontroller and then to the cloud over the internet. This allows authorities to remotely monitor pollution levels in various areas and take appropriate action if levels exceed thresholds. The system is intended to help control pollution and its health impacts on people.
This document describes a smart system for agriculture monitoring that uses sensors to track crop health data and soil conditions in real-time. The system uses an Arduino Yun microcontroller connected to sensors for soil temperature, rainfall, sound, and an IP camera. The sensors monitor and collect data on soil temperature, rainfall, sounds that could indicate pests, and visual crop status. This data is analyzed to detect any issues and provide alerts to farmers so they can take timely preventative actions to improve crop yields. The system aims to make farming more efficient through automated real-time monitoring and analysis of field conditions.
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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.
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%.
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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.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network