This document describes a proposed cloud-based system for monitoring sewerage infrastructure and enabling predictive maintenance through machine learning. The system uses an array of sensors attached to manhole covers to monitor factors like gas levels, temperature, pressure and water quality in real-time. This sensor data is transmitted wirelessly to a cloud server. Machine learning algorithms like principal component analysis and decision trees are applied to the sensor data to identify patterns and predict potential issues before they occur, facilitating proactive maintenance of sewer systems. The system aims to provide a low-cost and scalable solution for improving sewer infrastructure management.
IRJET- Software Sensor for Potable Water Quality through Qualitative and ...IRJET Journal
This document describes a software-based water quality monitoring system using sensors and the Internet of Things (IoT). The system aims to remotely monitor water quality parameters like pH levels and gas concentration in real-time to detect pollution. Sensors placed in overhead water tanks measure these parameters and send the data via a microcontroller and GSM module to an online database. Users can access this data through a webpage to monitor water quality without manual checks. The system seeks to efficiently manage water resources and ensure a continuous supply of clean water by enabling automatic real-time pollution detection and alerts.
Real Time Water Quality Monitoring and Alert Systems, Applications using OPEX...RekaNext Capital
In complex engineering business, it is useful to consider a OPEX model rather than a CAPEX model. This is to protect the customer from complex technology risks, changing technologies. Customer pays for successful delivery of services rather than buying equipment.
IRJET- Real-Time Water Quality Monitoring SystemIRJET Journal
This document describes a real-time water quality monitoring system using sensors connected to a Raspberry Pi. The system measures temperature, pH, dissolved oxygen, and electrical conductivity of water in residential areas. It sends the sensor data to a web portal and mobile apps in graphical and tabular formats. The system aims to continuously monitor water quality and provide timely alerts to ensure safe drinking water for residents. An experimental prototype was built using a Raspberry Pi, sensors, and ThingSpeak cloud platform to visualize real-time data. The system effectively monitors key water parameters and has potential for practical use in monitoring water quality.
Waste Management Overflow System using IoT and Classification using Data MiningIRJET Journal
This document proposes a waste management system using IoT and data mining. The system uses ultrasonic sensors connected to a microcontroller and WiFi module to monitor waste levels in garbage bins. It sends this data to a server where data mining algorithms classify the waste levels to determine when bins need emptying. Municipal workers would get alerts on their schedule to efficiently collect waste. The system aims to prevent overflowing bins and optimize collection routes to improve sanitation. Future work includes developing a mobile app and adding other sensors to provide more accurate monitoring of bins.
IRJET- Real Time Water Monitoring SystemIRJET Journal
The document describes the development of a real-time water monitoring system that uses sensors to measure parameters like turbidity, dissolved oxygen, temperature, and conductivity of water samples. The system transmits sensor data wirelessly to a transmitter and cloud server to allow for remote monitoring. Test results showed changes in water parameter levels in response to added impurities, demonstrating the system's ability to detect changes in water quality over time.
IRJET- Condition and Monitoring of Drinking Water in Water Purifier Using IoTIRJET Journal
This document describes a system for real-time monitoring of drinking water quality using IoT. The system uses sensors to measure parameters like temperature, turbidity, and TDS to detect contamination. Sensor data is sent wirelessly via WiFi to an Arduino board. If the sensors detect bad water quality, a notification is sent to authorized individuals. The system aims to automatically monitor water quality without human intervention, saving time and resources compared to traditional methods. It discusses related works on water quality monitoring systems and their limitations in portability, ability to change settings remotely, and lack of easy data visualization.
A Novel Prototype Model for Monitoring the Factories Remnants on Nile RiverIJERA Editor
The environment faces too many issues including the water pollution problem in the Nile River. This problem could be solved by having a system provides the factory with the control and monitoring to be able to monitor and treat their water remnants according to the standards required by ministry of environment. This project will establish and design a new control system that could be used by factories for monitoring and controlling their remnants. The project based on using an interfacing device for facility management technology (eWON), and also Supervisory Control and Data Acquisition System (SCADA), that support General Packet Radio Service (GPRS) for remote data connection.
IRJET- A Survey on Data Acquisition and Remote Monitoring DisplayIRJET Journal
This document summarizes various techniques for data acquisition and remote monitoring systems. It discusses how such systems gather information from sensors, convert it to digital form, and allow remote monitoring and display of sensor status. Different approaches are compared, including ZigBee, GSM, and web-based systems using software like LabVIEW and Web-SCADA. The document also outlines future opportunities like using more industrial sensors with current outputs and expanding application areas for remote monitoring.
IRJET- Software Sensor for Potable Water Quality through Qualitative and ...IRJET Journal
This document describes a software-based water quality monitoring system using sensors and the Internet of Things (IoT). The system aims to remotely monitor water quality parameters like pH levels and gas concentration in real-time to detect pollution. Sensors placed in overhead water tanks measure these parameters and send the data via a microcontroller and GSM module to an online database. Users can access this data through a webpage to monitor water quality without manual checks. The system seeks to efficiently manage water resources and ensure a continuous supply of clean water by enabling automatic real-time pollution detection and alerts.
Real Time Water Quality Monitoring and Alert Systems, Applications using OPEX...RekaNext Capital
In complex engineering business, it is useful to consider a OPEX model rather than a CAPEX model. This is to protect the customer from complex technology risks, changing technologies. Customer pays for successful delivery of services rather than buying equipment.
IRJET- Real-Time Water Quality Monitoring SystemIRJET Journal
This document describes a real-time water quality monitoring system using sensors connected to a Raspberry Pi. The system measures temperature, pH, dissolved oxygen, and electrical conductivity of water in residential areas. It sends the sensor data to a web portal and mobile apps in graphical and tabular formats. The system aims to continuously monitor water quality and provide timely alerts to ensure safe drinking water for residents. An experimental prototype was built using a Raspberry Pi, sensors, and ThingSpeak cloud platform to visualize real-time data. The system effectively monitors key water parameters and has potential for practical use in monitoring water quality.
Waste Management Overflow System using IoT and Classification using Data MiningIRJET Journal
This document proposes a waste management system using IoT and data mining. The system uses ultrasonic sensors connected to a microcontroller and WiFi module to monitor waste levels in garbage bins. It sends this data to a server where data mining algorithms classify the waste levels to determine when bins need emptying. Municipal workers would get alerts on their schedule to efficiently collect waste. The system aims to prevent overflowing bins and optimize collection routes to improve sanitation. Future work includes developing a mobile app and adding other sensors to provide more accurate monitoring of bins.
IRJET- Real Time Water Monitoring SystemIRJET Journal
The document describes the development of a real-time water monitoring system that uses sensors to measure parameters like turbidity, dissolved oxygen, temperature, and conductivity of water samples. The system transmits sensor data wirelessly to a transmitter and cloud server to allow for remote monitoring. Test results showed changes in water parameter levels in response to added impurities, demonstrating the system's ability to detect changes in water quality over time.
IRJET- Condition and Monitoring of Drinking Water in Water Purifier Using IoTIRJET Journal
This document describes a system for real-time monitoring of drinking water quality using IoT. The system uses sensors to measure parameters like temperature, turbidity, and TDS to detect contamination. Sensor data is sent wirelessly via WiFi to an Arduino board. If the sensors detect bad water quality, a notification is sent to authorized individuals. The system aims to automatically monitor water quality without human intervention, saving time and resources compared to traditional methods. It discusses related works on water quality monitoring systems and their limitations in portability, ability to change settings remotely, and lack of easy data visualization.
A Novel Prototype Model for Monitoring the Factories Remnants on Nile RiverIJERA Editor
The environment faces too many issues including the water pollution problem in the Nile River. This problem could be solved by having a system provides the factory with the control and monitoring to be able to monitor and treat their water remnants according to the standards required by ministry of environment. This project will establish and design a new control system that could be used by factories for monitoring and controlling their remnants. The project based on using an interfacing device for facility management technology (eWON), and also Supervisory Control and Data Acquisition System (SCADA), that support General Packet Radio Service (GPRS) for remote data connection.
IRJET- A Survey on Data Acquisition and Remote Monitoring DisplayIRJET Journal
This document summarizes various techniques for data acquisition and remote monitoring systems. It discusses how such systems gather information from sensors, convert it to digital form, and allow remote monitoring and display of sensor status. Different approaches are compared, including ZigBee, GSM, and web-based systems using software like LabVIEW and Web-SCADA. The document also outlines future opportunities like using more industrial sensors with current outputs and expanding application areas for remote monitoring.
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.
Monitoring And Analysis Of Aquatic Intake In Instructive BodiesIRJET Journal
This document describes a system for monitoring aquatic intake in educational institutions using wireless sensors and data analysis software. The system uses a turbine flow sensor attached to pipes to measure water flow rate. An RF module transmits the sensor data wirelessly to a monitoring station. There, a data acquisition system interfaces with LabVIEW software to display the water intake in real-time. The system allows continuous monitoring of water consumption and automated recording of usage data for analysis of usage patterns over time. The goal is to help reduce water usage through awareness of consumption levels.
IRJET- Automated Water Conservation and Theft Detection using IOTIRJET Journal
The document proposes developing an IoT-based remote water monitoring and theft prevention system using a microcontroller to record flow rates from a flow sensor and control solenoid valves. It reviews existing automated water distribution systems using various sensors and communication protocols. The proposed system would use an Ethernet shield to send sensor data to the cloud and detect water theft by comparing total water usage to amounts distributed.
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.
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...IRJET Journal
This document describes a system that uses sensors and a Raspberry Pi to monitor water quality, level, and pressure in real-time. pH and turbidity sensors measure water quality parameters. An ultrasonic sensor measures water level in a tank, and LEDs indicate the level. A force sensitive resistor sensor detects water pressure and potential leaks. The Raspberry Pi collects sensor readings, stores data in a database, and sends SMS alerts when thresholds are exceeded. It also hosts a website to view current readings. The system aims to efficiently monitor domestic water use and quality in an automated way using Internet of Things technologies.
IEEE 802.15.4 based Water Quality Monitoring SystemIJARIIE JOURNAL
This document describes an IEEE 802.15.4 based wireless water quality monitoring system. It uses XBee modules to transmit sensor data from nodes distributed in a fish farm to a Raspberry Pi gateway. The nodes measure water temperature and the gateway converts this to dissolved oxygen (DO) levels using an equation. DO levels are compared to standards and displayed on a webpage for remote monitoring. The system allows real-time water quality monitoring without constant human presence and could be adapted to other sensor types.
IRJET- R-Pi based Real-Time Weather Monitoring SystemIRJET Journal
This document describes a Raspberry Pi-based real-time weather monitoring system. The system uses various sensors to measure rainfall intensity and levels in different regions. The sensor data is transmitted to an Arduino, which then sends it to a Raspberry Pi via a GSM module. The Raspberry Pi also receives real-time weather data from a Regional Meteorological Centre via an FTP client-server interface. The Raspberry Pi processes both data streams and sends weather updates to relevant organizations using bulk messaging servers. The system aims to provide less manual and more economic and real-time weather monitoring compared to traditional methods.
The document discusses wireless water monitoring systems. It describes how wireless systems can provide cost-effective remote monitoring of water levels, flows and other parameters without the need for wiring. Wireless systems use radio transmitters and receivers to transmit data from sensors to control rooms or the cloud. The document outlines the architecture of wireless systems and their applications in industries such as oil and gas, manufacturing and utilities to monitor assets like tanks, pumps and pipelines from remote locations.
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.
Measurement of NPK, Temperature, Moisture, Humidity using WSNIJERA Editor
In India, where the economy is mainly base on agriculture and the climatic conditions are isotropic and are not
able to make full use of agricultural resources. The main reason is the lack of rains and scarifies of land
reservoir water and overused of fertilizers so we need to control these parameters. This system made wireless
sensor network for monitoringagricultural environments for various factors such as NPK, temperature and
humidity along with other factors can be of significance.By using pH sensors we get the information about the
soil and analyze the acid level of the soil. By which we can apply fertilizer to the place where it needs, also we
can avoid over fertilization of the crops. We used humidity sensor to sense the weather. By this the farmer can
get idea about the climate. If there is any chance for rainfall; the farmer need not irrigate the crop field. This
Seminar reports the design and development of a smart wireless sensor network (WSN) for an agricultural
environment. Monitoring agricultural environments for various factors such as Nitrates, Zink, Potassium,
Phosphorus, Humidity and Temperature along with other factors can be of significance. The ability to document
and detail changes in parameters of interest has become increasingly valuable. Investigations were performed
for a remote monitoring system using WiFi, where the wireless sensor nodes are based on WSN802G modules.
These nodes send data wirelessly to a central server, which collects the data, stores it and allows it to be
analyzed and displayed as needed.
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- Multi-Sensor based Water Quality Monitoring in IoT EnvironmentIRJET Journal
This document presents a multi-sensor system for real-time monitoring of water quality parameters in an Internet of Things (IoT) environment. The system uses sensors to measure temperature, turbidity, pH, and conductivity of water samples. An Arduino Mega microcontroller collects data from the sensors via Wi-Fi and displays it on a web page. Over 50 water samples were collected from various locations and their properties analyzed. The results help determine suitable uses for the water, such as for drinking, washing, watering plants, or other purposes. This low-cost system provides a means to continuously monitor water quality and transmit sensor data in real-time over the internet.
Predictive maintenance: It is a method to analyze and evaluate the health status of equipment based on machine learning algorithm and failure model through periodic or continuous monitoring of equipment status, so as to predict the time of next failure and the specific time of maintenance.
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...IRJET Journal
This document describes a proposed smart water monitoring system that uses sensors to monitor water quality parameters like flow, temperature, pH, conductivity, and oxidation reduction potential in real-time. The system aims to notify users of water quality and detect contaminants. It will also integrate a communal prepaid water metering system to monitor water usage. The system will help improve water service delivery and increase revenue collection for water providers.
This document describes an IoT-based water monitoring system that measures water levels in main tanks, detects leaks, monitors water consumption by flats, and detects water flow and turbidity. Sensors connected to an Arduino board collect data on these parameters and transmit it over WiFi to a cloud platform for display and analysis. The system aims to enable real-time water monitoring to optimize usage, detect issues, and ensure a clean water supply.
The Internet of Things (IoT) has provided promising opportunities to create powerful industrial and domestic applications. One of its main applications is smart metering. The existing analogue meter in residential area requires consistent human monitoring, which leads to computational errors. Huge labor force, their negligence and money invested are the drawback of such meters. Therefore, a cost effective and low power smart-meter that can monitor the daily consumption of water in residential area need to be developed, in order to conserve water. Here in this research, SOC based smart water meter is developed to provide cost effective solution. Further, the developed system is implemented in real time to investigate the reliability and feasibility.
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.
Review Report on Canel and Subcanel Water Level SurveillanceIRJET Journal
This document provides a review of various methods for monitoring and controlling water levels in canals, dams, and irrigation systems. It discusses several prior studies that implemented wireless sensor networks or microcontroller-based systems using water level sensors to automatically monitor water levels and control water flow. The proposed system in this document would design and develop a wireless surveillance system to monitor water levels in canals and sub-canals in order to reduce water wastage and ensure efficient irrigation. It analyzes related works and various technologies like ZigBee that could be used to create a low-cost, low-power water level monitoring and control system.
IRJET- An Iot Based Water Monitoring System for Smart CityIRJET Journal
This document describes an Internet of Things (IoT) based water monitoring system to detect water quality in real-time. The system uses sensors like pH, temperature, turbidity connected to an Arduino microcontroller. The sensor data is sent over WiFi to a Blynk application using ESP8266. Blynk is an app to control hardware remotely and view sensor data. The system was tested and able to monitor parameters like temperature, pH levels, turbidity and determine water quality. It provides a low-cost and automated and real-time solution for water quality monitoring without requiring constant human monitoring.
IRJET- IoT based Flow Analyzing and Alerting SystemIRJET Journal
This document describes an IoT-based system for continuously measuring and analyzing water flow from a dam. The system uses flow sensors placed at multiple points along a river to measure flow rate, velocity, time taken, and distance covered. A Raspberry Pi processes the sensor data and stores it on the cloud. If the flow exceeds a threshold, an alert is sent. The system provides real-time water flow data and analysis in a tabular format to help monitor for flooding. It is a low-cost, efficient method for continuous water flow measurement and alerting.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
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.
Monitoring And Analysis Of Aquatic Intake In Instructive BodiesIRJET Journal
This document describes a system for monitoring aquatic intake in educational institutions using wireless sensors and data analysis software. The system uses a turbine flow sensor attached to pipes to measure water flow rate. An RF module transmits the sensor data wirelessly to a monitoring station. There, a data acquisition system interfaces with LabVIEW software to display the water intake in real-time. The system allows continuous monitoring of water consumption and automated recording of usage data for analysis of usage patterns over time. The goal is to help reduce water usage through awareness of consumption levels.
IRJET- Automated Water Conservation and Theft Detection using IOTIRJET Journal
The document proposes developing an IoT-based remote water monitoring and theft prevention system using a microcontroller to record flow rates from a flow sensor and control solenoid valves. It reviews existing automated water distribution systems using various sensors and communication protocols. The proposed system would use an Ethernet shield to send sensor data to the cloud and detect water theft by comparing total water usage to amounts distributed.
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.
Detection of Water Level, Quality and Leakage using Raspberry Pi with Interne...IRJET Journal
This document describes a system that uses sensors and a Raspberry Pi to monitor water quality, level, and pressure in real-time. pH and turbidity sensors measure water quality parameters. An ultrasonic sensor measures water level in a tank, and LEDs indicate the level. A force sensitive resistor sensor detects water pressure and potential leaks. The Raspberry Pi collects sensor readings, stores data in a database, and sends SMS alerts when thresholds are exceeded. It also hosts a website to view current readings. The system aims to efficiently monitor domestic water use and quality in an automated way using Internet of Things technologies.
IEEE 802.15.4 based Water Quality Monitoring SystemIJARIIE JOURNAL
This document describes an IEEE 802.15.4 based wireless water quality monitoring system. It uses XBee modules to transmit sensor data from nodes distributed in a fish farm to a Raspberry Pi gateway. The nodes measure water temperature and the gateway converts this to dissolved oxygen (DO) levels using an equation. DO levels are compared to standards and displayed on a webpage for remote monitoring. The system allows real-time water quality monitoring without constant human presence and could be adapted to other sensor types.
IRJET- R-Pi based Real-Time Weather Monitoring SystemIRJET Journal
This document describes a Raspberry Pi-based real-time weather monitoring system. The system uses various sensors to measure rainfall intensity and levels in different regions. The sensor data is transmitted to an Arduino, which then sends it to a Raspberry Pi via a GSM module. The Raspberry Pi also receives real-time weather data from a Regional Meteorological Centre via an FTP client-server interface. The Raspberry Pi processes both data streams and sends weather updates to relevant organizations using bulk messaging servers. The system aims to provide less manual and more economic and real-time weather monitoring compared to traditional methods.
The document discusses wireless water monitoring systems. It describes how wireless systems can provide cost-effective remote monitoring of water levels, flows and other parameters without the need for wiring. Wireless systems use radio transmitters and receivers to transmit data from sensors to control rooms or the cloud. The document outlines the architecture of wireless systems and their applications in industries such as oil and gas, manufacturing and utilities to monitor assets like tanks, pumps and pipelines from remote locations.
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.
Measurement of NPK, Temperature, Moisture, Humidity using WSNIJERA Editor
In India, where the economy is mainly base on agriculture and the climatic conditions are isotropic and are not
able to make full use of agricultural resources. The main reason is the lack of rains and scarifies of land
reservoir water and overused of fertilizers so we need to control these parameters. This system made wireless
sensor network for monitoringagricultural environments for various factors such as NPK, temperature and
humidity along with other factors can be of significance.By using pH sensors we get the information about the
soil and analyze the acid level of the soil. By which we can apply fertilizer to the place where it needs, also we
can avoid over fertilization of the crops. We used humidity sensor to sense the weather. By this the farmer can
get idea about the climate. If there is any chance for rainfall; the farmer need not irrigate the crop field. This
Seminar reports the design and development of a smart wireless sensor network (WSN) for an agricultural
environment. Monitoring agricultural environments for various factors such as Nitrates, Zink, Potassium,
Phosphorus, Humidity and Temperature along with other factors can be of significance. The ability to document
and detail changes in parameters of interest has become increasingly valuable. Investigations were performed
for a remote monitoring system using WiFi, where the wireless sensor nodes are based on WSN802G modules.
These nodes send data wirelessly to a central server, which collects the data, stores it and allows it to be
analyzed and displayed as needed.
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- Multi-Sensor based Water Quality Monitoring in IoT EnvironmentIRJET Journal
This document presents a multi-sensor system for real-time monitoring of water quality parameters in an Internet of Things (IoT) environment. The system uses sensors to measure temperature, turbidity, pH, and conductivity of water samples. An Arduino Mega microcontroller collects data from the sensors via Wi-Fi and displays it on a web page. Over 50 water samples were collected from various locations and their properties analyzed. The results help determine suitable uses for the water, such as for drinking, washing, watering plants, or other purposes. This low-cost system provides a means to continuously monitor water quality and transmit sensor data in real-time over the internet.
Predictive maintenance: It is a method to analyze and evaluate the health status of equipment based on machine learning algorithm and failure model through periodic or continuous monitoring of equipment status, so as to predict the time of next failure and the specific time of maintenance.
IRJET- Smart Water Monitoring System for Real-Time Water Quality and Usage Mo...IRJET Journal
This document describes a proposed smart water monitoring system that uses sensors to monitor water quality parameters like flow, temperature, pH, conductivity, and oxidation reduction potential in real-time. The system aims to notify users of water quality and detect contaminants. It will also integrate a communal prepaid water metering system to monitor water usage. The system will help improve water service delivery and increase revenue collection for water providers.
This document describes an IoT-based water monitoring system that measures water levels in main tanks, detects leaks, monitors water consumption by flats, and detects water flow and turbidity. Sensors connected to an Arduino board collect data on these parameters and transmit it over WiFi to a cloud platform for display and analysis. The system aims to enable real-time water monitoring to optimize usage, detect issues, and ensure a clean water supply.
The Internet of Things (IoT) has provided promising opportunities to create powerful industrial and domestic applications. One of its main applications is smart metering. The existing analogue meter in residential area requires consistent human monitoring, which leads to computational errors. Huge labor force, their negligence and money invested are the drawback of such meters. Therefore, a cost effective and low power smart-meter that can monitor the daily consumption of water in residential area need to be developed, in order to conserve water. Here in this research, SOC based smart water meter is developed to provide cost effective solution. Further, the developed system is implemented in real time to investigate the reliability and feasibility.
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.
Review Report on Canel and Subcanel Water Level SurveillanceIRJET Journal
This document provides a review of various methods for monitoring and controlling water levels in canals, dams, and irrigation systems. It discusses several prior studies that implemented wireless sensor networks or microcontroller-based systems using water level sensors to automatically monitor water levels and control water flow. The proposed system in this document would design and develop a wireless surveillance system to monitor water levels in canals and sub-canals in order to reduce water wastage and ensure efficient irrigation. It analyzes related works and various technologies like ZigBee that could be used to create a low-cost, low-power water level monitoring and control system.
IRJET- An Iot Based Water Monitoring System for Smart CityIRJET Journal
This document describes an Internet of Things (IoT) based water monitoring system to detect water quality in real-time. The system uses sensors like pH, temperature, turbidity connected to an Arduino microcontroller. The sensor data is sent over WiFi to a Blynk application using ESP8266. Blynk is an app to control hardware remotely and view sensor data. The system was tested and able to monitor parameters like temperature, pH levels, turbidity and determine water quality. It provides a low-cost and automated and real-time solution for water quality monitoring without requiring constant human monitoring.
IRJET- IoT based Flow Analyzing and Alerting SystemIRJET Journal
This document describes an IoT-based system for continuously measuring and analyzing water flow from a dam. The system uses flow sensors placed at multiple points along a river to measure flow rate, velocity, time taken, and distance covered. A Raspberry Pi processes the sensor data and stores it on the cloud. If the flow exceeds a threshold, an alert is sent. The system provides real-time water flow data and analysis in a tabular format to help monitor for flooding. It is a low-cost, efficient method for continuous water flow measurement and alerting.
IRJET- Smart Agriculture System based on IoTIRJET Journal
This document proposes a smart agriculture system based on IoT. The key features include:
1. A smart GPS-based remote controlled robot that can perform tasks like weeding, spraying, moisture detection, and pest/animal deterrence.
2. An intelligent irrigation system with smart control based on real-time soil moisture data.
3. A smart warehouse management system that monitors temperature, humidity, and detects theft.
Sensors, WiFi/ZigBee modules, cameras, and actuators connected to microcontrollers and Raspberry Pi will automate and control these systems remotely through a mobile or web application. The goal is to modernize agriculture using automation and IoT technologies.
A Survey on Smart DRIP Irrigation SystemIRJET Journal
This document summarizes a survey on a proposed smart drip irrigation system. The key points are:
1) The proposed system uses sensors to monitor soil conditions and weather. It sends this data to an Android app via a base station to allow remote control and monitoring of the irrigation system.
2) The smart system aims to automate irrigation based on environmental conditions rather than schedules, reducing water use and increasing crop yields.
3) Researchers believe this Internet of Things approach could make irrigation more efficient and beneficial for farmers by allowing remote control from any location.
IRJET- IoT based Smart Irrigation System for Precision AgricultureIRJET Journal
This document describes an Internet of Things (IoT) based smart irrigation system for precision agriculture. The system uses sensors to monitor soil moisture, temperature, and other conditions in crop fields. Sensor data is collected by edge computing devices and sent to the cloud for analysis. The cloud analyzes current and historical sensor data to determine irrigation and other responses. This precision agriculture approach aims to increase food production while reducing water usage through automated, data-driven management of irrigation and other field activities. The system is meant to provide farmers with real-time field conditions and 10-day forecasts to help optimize decisions around cultivation, harvesting, irrigation, and fertilization.
Operation of Sensor Nodes for Smart Farming and Data Networking using Wireles...IRJET Journal
This document describes a proposed system for smart farming using wireless sensor networks. Key points:
- Sensor nodes would be deployed to monitor environmental parameters like temperature, humidity, and soil moisture.
- The sensor data would be transmitted wirelessly via technologies like Zigbee to a coordinator node.
- The coordinator node would convert the data to WiFi and send it to a web server where users could access it remotely via an online portal or mobile app.
- The system aims to automate irrigation and other farm operations based on sensor readings to optimize crop growth. This would reduce labor needs and allow remote monitoring of field conditions.
Review on crop monitoring system using GSM technologyIRJET Journal
This document summarizes a research journal article about a crop monitoring system using GSM technology. The system uses wireless sensor nodes equipped with sensors to monitor soil moisture, pH, and leaf wetness. The sensor nodes send SMS alerts to farmers via GSM modems if the soil moisture drops below a threshold, triggering sprinklers. It also sends soil pH sensor readings. The system aims to help farmers remotely monitor crop conditions and conserve water.
IRJET- Water Level Monitoring System in Water Dispensers using IotIRJET Journal
This document presents a proposed system for monitoring water levels in multiple water dispensers using IoT technologies. The system uses ultrasonic sensors connected to an Arduino board to measure water levels in each dispenser. When the water level drops below a threshold, the Arduino sends a notification to an authorized mobile application via cloud messaging. This allows a single person to remotely monitor water levels across many dispensers and be notified when refills are needed. The proposed system aims to provide a more efficient solution than manual monitoring by automating notifications and enabling remote management of large numbers of dispensers from a mobile app.
IRJET - A Study on Smart Irrigation System using IoT & Machine LearningIRJET Journal
The document proposes a smart irrigation system using IoT and machine learning. The solar-powered system collects data from sensors on soil moisture, temperature, humidity and other factors. It uses machine learning algorithms to analyze the data and predict future conditions to automate irrigation. This aims to minimize water waste, human errors and increase farm revenue by precisely controlling irrigation based on real-time sensor data and predictions. The system is designed to be affordable and accessible to farmers through a smartphone app.
AI Based Smart Agriculture – Leaf Disease Prediction Using Optimized CNN ModelIRJET Journal
This document discusses using optimized convolutional neural network (CNN) models for leaf disease prediction in smart agriculture. Sensors are used to collect environmental data from fields, and images of plant leaves are analyzed for disease identification. Three CNN methods - fast R-CNN, faster R-CNN, and Mask R-CNN - are evaluated and the best method is selected based on prediction accuracy. The optimized CNN model identifies diseases and recommends suitable pesticides, while sensor data is also used for irrigation control and crop recommendations based on soil conditions. The system aims to help farmers detect diseases early and improve crop productivity using artificial intelligence and internet of things technologies.
This document describes a proposed balloon-borne system using Zigbee technology for disaster relief operations. The system would use high-altitude balloons equipped with Zigbee, GPS, humidity and water level sensors, a camera, and an APR voice module. The balloons would form an aerial wireless network to monitor conditions like water levels, humidity, and the number of people in an area affected by a disaster. The data collected by the sensors would be transmitted via Zigbee between balloons and to rescuers on the ground to provide situational awareness and help coordinate relief efforts. This system aims to improve response times and resolve issues that emerge during disasters.
IRJET- Advanced Guiding Tool for the Selection of CropsIRJET Journal
This document describes an advanced guiding tool to help farmers select appropriate crops. It uses sensors to monitor soil characteristics and environmental conditions. The sensor data is sent to a Node MCU microcontroller and stored in the cloud. Farmers can access this historical data using wireless devices to determine which crops are best suited for their land based on the soil and climate conditions. This system improves upon previous agriculture monitoring systems by not only monitoring crop growth but also collecting and storing sensor data in the cloud. This stored data can then be used to advise farmers on optimal crop selection.
IRJET- IoT – Based Wireless Sensors for Environmental Monitoring and Smar...IRJET Journal
This document describes a proposed smart garbage monitoring system that uses Internet of Things (IoT) technology. The system uses sensors to monitor environmental factors like temperature, humidity, and gas levels. An ultrasonic sensor detects the affected area distance. A Raspberry Pi processes the sensor data and checks if thresholds are exceeded, in which case a GPS module tracks the location. The location and sensor readings are sent to the nearest control center via IoT to monitor the area through a webpage. The system aims to efficiently manage garbage with minimal manual effort by automating waste monitoring and response.
IRJET- Smart Weather Monitoring and Real Time Alert System using IoTIRJET Journal
This document proposes a smart weather monitoring system using IoT that measures various weather parameters like temperature, humidity, wind speed, etc. using sensors. The sensors send real-time data to a web page for access from anywhere. An app also sends alerts about sudden weather changes. While existing systems have limitations like high costs, maintenance needs and delayed warnings, the proposed system is compact, portable, and cheaper due to its solar power and sensor costs. It analyzes sensor data using an API and Raspberry Pi to predict weather accurately. This smart monitoring system could benefit various industries.
SENSOR NETWORK FOR REAL‐TIME MONITORING AND DETECTION CONTAMINATION IN DRINKI...ijiert bestjournal
This project presents the design and development of a low cost system for real time monitoring of drinking water quality at consumer sites. The system consists of several in-pipes Electrochemical and optical sensors and em phasis is given on low cost,lightweight implementation and reliable long time operation. Su ch implementation is suitable for large deployments enabling a sensor network approach for providing spatiotemporally rich data to water consumers,water companies and authorities. Extensive literature and market research is performed to identify low cost,on-line sensors that can reliably monitor several parameters which can be used to infer the water quality. In this project we overcome the drawback present in existing system by monitoring water quality prob lem for drinking water distribution systems as well as for consumer sites. Our approach is based on the development of low cost sensor nodes for real time and in-pipe monitoring and assessment of wa ter quality on the fly. The ma in sensor node consists of electrochemical and optical sens ors which can be used to mon itor the water quality. From the sensor node we are sending monitored values to control room (A RM board) through RS232 serial cable.
This document describes an automated waste management system that uses a convolutional neural network (CNN) algorithm to classify and segregate household waste with minimal human intervention. The system identifies waste as either biodegradable or non-biodegradable and sorts it into separate bins in real time. This helps reduce the human effort and costs required for waste sorting. The system is trained on a dataset of waste images and uses CNNs to learn the features of different waste types and accurately classify new images. Literature on previous waste sorting systems is reviewed, finding CNN approaches can achieve over 90% accuracy on various waste datasets.
IRJET- A Survey on Advanced Ration Distribution SystemIRJET Journal
This document describes a proposed advanced ration distribution system that aims to automate and digitize the government ration distribution process in India. The proposed system would use hardware components like an ARM7 controller, fingerprint scanner, liquid crystal display, motor driver, keypad and sensors to accurately measure and record ration quantities. It would also integrate a database on a web page to allow consumers and government authorities to access stock and transaction information online. The system is envisioned to replace manual processes, reduce corruption and irregularities, and provide a more convenient and transparent ration distribution experience for consumers.
IRJET- LORA based Solid Waste ManagementIRJET Journal
This document describes a proposed smart waste management system using LORA technology for communication. Key features include smart bins fitted with sensors to detect waste levels and conditions. The bin data is transmitted via LORA modules to a gateway and then to the cloud for storage and analysis. This allows waste collection trucks to be routed efficiently based on real-time bin levels. An Android app and web server interface provide access to the bin data for users, collectors and administrators. The goal is to improve waste collection efficiency while gaining insights into waste production patterns.
IRJET- Survey on Flood Management SystemIRJET Journal
1. The document discusses flood management systems that use data mining algorithms and IoT technologies for flood prediction and detection. It analyzes algorithms like kNN and SVM that can be used for flood prediction by training models on historical data.
2. For flood detection, the document proposes using IoT nodes with sensors to collect water level data, microcontrollers to process the data, and cloud services/GSM modules to send alerts if water levels exceed thresholds.
3. Several existing works that implement flood monitoring systems using techniques like IoT, sensors, microcontrollers and cloud services are reviewed and compared. The goal is to develop a system that can predict flood severity and detect floods early to minimize damage.
IRJET - Automatic Plant Watering System using NodeMCUIRJET Journal
1) The document describes an automatic plant watering system that uses sensors and NodeMCU to monitor environmental conditions and water plants automatically.
2) The system collects data on temperature, humidity, and soil moisture and sends it to an Android application and the cloud to allow monitoring from anywhere.
3) It aims to make gardening easier by automating watering based on sensor readings so plants get the right amount of water when needed.
IOT Based Water Level Monitoring System For LakeIRJET Journal
The document describes an Internet of Things (IoT) based water level monitoring system for lakes. The system uses a Raspberry Pi controller connected to an ultrasonic water level sensor to monitor water levels. It sends water level data via GSM to users' phones and displays it on a web portal. This allows remote monitoring of available water levels in lakes, helping with efficient water management and allocation. The system aims to reduce water wastage through automated monitoring and control of water resources.
Similar to IRJET- Cloud based Sewerage Monitoring and Predictive Maintenance using Machine Learning (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
This document summarizes a research project that aims to compare the structural performance of conventional slab and grid slab systems in multi-story buildings using ETABS software. The study will analyze both symmetric and asymmetric building models under various loading conditions. Parameters like deflections, moments, shears, and stresses will be examined to evaluate the structural effectiveness of each slab type. The results will provide insights into the comparative behavior of conventional and grid slabs to help engineers and architects select appropriate slab systems based on building layouts and design requirements.
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
The document analyzes temperature and precipitation trends in Asosa District, Benishangul Gumuz Region, Ethiopia from 1993 to 2022 based on data from the local meteorological station. The results show:
1) The average maximum and minimum annual temperatures have generally decreased over time, with maximum temperatures decreasing by a factor of -0.0341 and minimum by -0.0152.
2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
This document discusses the design and analysis of pre-engineered building (PEB) framed structures using STAAD Pro software. It provides an overview of PEBs, including that they are designed off-site with building trusses and beams produced in a factory. STAAD Pro is identified as a key tool for modeling, analyzing, and designing PEBs to ensure their performance and safety under various load scenarios. The document outlines modeling structural parts in STAAD Pro, evaluating structural reactions, assigning loads, and following international design codes and standards. In summary, STAAD Pro is used to design and analyze PEB framed structures to ensure safety and code compliance.
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
This document provides a review of research on innovative fiber integration methods for reinforcing concrete structures. It discusses studies that have explored using carbon fiber reinforced polymer (CFRP) composites with recycled plastic aggregates to develop more sustainable strengthening techniques. It also examines using ultra-high performance fiber reinforced concrete to improve shear strength in beams. Additional topics covered include the dynamic responses of FRP-strengthened beams under static and impact loads, and the performance of preloaded CFRP-strengthened fiber reinforced concrete beams. The review highlights the potential of fiber composites to enable more sustainable and resilient construction practices.
Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
This document summarizes a survey on securing patient healthcare data in cloud-based systems. It discusses using technologies like facial recognition, smart cards, and cloud computing combined with strong encryption to securely store patient data. The survey found that healthcare professionals believe digitizing patient records and storing them in a centralized cloud system would improve access during emergencies and enable more efficient care compared to paper-based systems. However, ensuring privacy and security of patient data is paramount as healthcare incorporates these digital technologies.
Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
The document describes the architecture of an educational technology web application built using the MERN stack. It discusses the frontend developed with ReactJS, backend with NodeJS and ExpressJS, and MongoDB database. The frontend provides dynamic user interfaces, while the backend offers APIs for authentication, course management, and other functions. MongoDB enables flexible data storage. The architecture aims to provide a scalable, responsive platform for online learning.
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
This paper proposes integrating Internet of Things (IoT) and blockchain technologies to help implement objectives of India's National Education Policy (NEP) in the education sector. The paper discusses how blockchain could be used for secure student data management, credential verification, and decentralized learning platforms. IoT devices could create smart classrooms, automate attendance tracking, and enable real-time monitoring. Blockchain would ensure integrity of exam processes and resource allocation, while smart contracts automate agreements. The paper argues this integration has potential to revolutionize education by making it more secure, transparent and efficient, in alignment with NEP goals. However, challenges like infrastructure needs, data privacy, and collaborative efforts are also discussed.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Generative AI Use cases applications solutions and implementation.pdfmahaffeycheryld
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
VARIABLE FREQUENCY DRIVE. VFDs are widely used in industrial applications for...PIMR BHOPAL
Variable frequency drive .A Variable Frequency Drive (VFD) is an electronic device used to control the speed and torque of an electric motor by varying the frequency and voltage of its power supply. VFDs are widely used in industrial applications for motor control, providing significant energy savings and precise motor operation.
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
AI for Legal Research with applications, toolsmahaffeycheryld
AI applications in legal research include rapid document analysis, case law review, and statute interpretation. AI-powered tools can sift through vast legal databases to find relevant precedents and citations, enhancing research accuracy and speed. They assist in legal writing by drafting and proofreading documents. Predictive analytics help foresee case outcomes based on historical data, aiding in strategic decision-making. AI also automates routine tasks like contract review and due diligence, freeing up lawyers to focus on complex legal issues. These applications make legal research more efficient, cost-effective, and accessible.
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.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.