This document describes a smart street lighting system using IoT technology. The system uses PIR sensors and light dependent resistors connected to an Arduino board to automatically control street lights. When it gets dark, the lights turn on, and when motion is detected by the PIR sensors, the lights switch to a brighter mode. This saves energy by only using full brightness when needed. The system can be monitored over the internet using IoT to check light status remotely and troubleshoot any issues. Implementing this smart street lighting system could reduce energy costs for cities while still providing adequate lighting levels on roads.
SMART STREET LIGHTING AND MONITORING SYSTEM BASED ON SUNLIGHT INTENSITY DETEC...IRJET Journal
This document summarizes a research paper on developing a smart street lighting system using IoT and cloud technology based on sunlight intensity detection. The system uses LDR sensors to detect sunlight intensity and an Arduino microcontroller to control LED street lights to automatically turn on and off based on the sensor readings. An ESP8266 WiFi module transmits sensor data to a cloud server (ThingSpeak API) for remote monitoring and visualization. The system aims to reduce energy consumption and maintenance costs compared to traditional street lighting by automating control of the lights based on sunlight availability. Experimental results show the smart street lighting system can effectively save energy on a large scale.
IRJET- Brainy Streets with Automatic Lighting SystemIRJET Journal
This document proposes an automatic street lighting system that uses sensors to detect vehicle and pedestrian movement and adjusts streetlight illumination accordingly to conserve energy. The system uses an Arduino microcontroller, light dependent resistors (LDRs) to detect daylight levels, and passive infrared (PIR) sensors to detect motion. When the LDR detects low light levels and a PIR sensor detects movement, the microcontroller turns on the nearest streetlights. It then adjusts the lights as the movement passes each sensor until no movement is detected, at which point the lights are turned off. The system aims to automatically control streetlights based on actual need rather than operating on a fixed schedule, which could reduce unnecessary energy usage from lights remaining on when
IRJET- Design and Implementation of Driverless Car using Machine LearningIRJET Journal
1. The document describes a design for a driverless car that uses machine learning techniques, specifically Support Vector Machines (SVMs), to navigate autonomously while following traffic rules and avoiding accidents.
2. The system uses various sensors like ultrasonic sensors and IR sensors to detect objects and signs, which are classified by the SVM model. It also uses zone-based control and has live video streaming for monitoring.
3. The goal of the system is to help reduce accidents by at least half by enabling driverless capabilities. It also aims to provide independent transportation for disabled or elderly individuals.
IRJET- Design and Analysis of Street Light Control SystemIRJET Journal
This document summarizes a research paper that designed and analyzed a street light control system using various technologies to enable power savings. The system uses light dependent resistors (LDRs) to turn on LED street lights only when external light is low, infrared sensors to detect motion of cars/pedestrians and turn on lights accordingly, and pulse width modulation to gradually fade lights on and off. Wireless communication using ZigBee allows information transfer to a control terminal. The system was tested and able to detect faults in lights and sensors. It provides an affordable and automated solution to efficiently manage street lighting networks.
IRJET - Zigbee based Street Light Control SystemIRJET Journal
This document describes a zigbee-based street light control system that uses sensors and wireless communication to automatically control street lights. The system aims to reduce energy waste and maintenance costs by only turning lights on when motion is detected. It uses an Arduino microcontroller, PIR motion sensors, LDR light sensors, LED street lights, transistors, and zigbee modems for wireless communication between lights. When a passerby triggers a PIR sensor, it communicates with nearby lights to illuminate and ensure a safe light circle. This smart lighting system intends to efficiently control street lights based on presence detection while lowering energy consumption and costs compared to traditional static lighting systems.
This document proposes a smart street light system using IoT to reduce energy waste from street lights and increase safety at blind curves. It uses infrared sensors to detect vehicles and adjust street light brightness. When a vehicle is detected, a signal is sent to an alert system at blind curves using an nRF24L01 module. The alert system, controlled by an Arduino UNO, uses the signal timing to determine which direction has priority and displays red or green LED lights to drivers accordingly. The system aims to automatically control street lights based on presence of vehicles and warn drivers at blind curves to reduce accidents and energy consumption from lights.
IRJET - Automatic Street Light Control by Detecting Vehicle MovementIRJET Journal
This document summarizes a research paper that proposes an automatic street light control system using vehicle movement detection. The system uses an IR sensor and LDR sensor to detect vehicles and light intensity. When a vehicle is detected, the street lights in front of it are turned on using an Arduino microcontroller. When the vehicle passes, the lights are turned off to conserve energy. The system is intended to reduce energy consumption by only illuminating streets when vehicles are present. It provides real-time control of street lights through wireless communication between lights and a control unit.
Energy-efficient Intelligent Street Lighting SystemIRJET Journal
This document summarizes a research paper on an energy-efficient intelligent street lighting system. The proposed system combines motion sensing, light sensing, and automatic dimming control features. It uses sensors like a light dependent resistor and motion sensor along with a microcontroller and WiFi module to automatically adjust the brightness of LED street lights based on ambient light levels and detected movement. This is intended to reduce energy consumption by preventing lights from remaining on during daylight hours or when no traffic is present. The system architecture and algorithm are described and it is suggested this approach could lower costs by using less energy and extending the lifetime of the lights.
SMART STREET LIGHTING AND MONITORING SYSTEM BASED ON SUNLIGHT INTENSITY DETEC...IRJET Journal
This document summarizes a research paper on developing a smart street lighting system using IoT and cloud technology based on sunlight intensity detection. The system uses LDR sensors to detect sunlight intensity and an Arduino microcontroller to control LED street lights to automatically turn on and off based on the sensor readings. An ESP8266 WiFi module transmits sensor data to a cloud server (ThingSpeak API) for remote monitoring and visualization. The system aims to reduce energy consumption and maintenance costs compared to traditional street lighting by automating control of the lights based on sunlight availability. Experimental results show the smart street lighting system can effectively save energy on a large scale.
IRJET- Brainy Streets with Automatic Lighting SystemIRJET Journal
This document proposes an automatic street lighting system that uses sensors to detect vehicle and pedestrian movement and adjusts streetlight illumination accordingly to conserve energy. The system uses an Arduino microcontroller, light dependent resistors (LDRs) to detect daylight levels, and passive infrared (PIR) sensors to detect motion. When the LDR detects low light levels and a PIR sensor detects movement, the microcontroller turns on the nearest streetlights. It then adjusts the lights as the movement passes each sensor until no movement is detected, at which point the lights are turned off. The system aims to automatically control streetlights based on actual need rather than operating on a fixed schedule, which could reduce unnecessary energy usage from lights remaining on when
IRJET- Design and Implementation of Driverless Car using Machine LearningIRJET Journal
1. The document describes a design for a driverless car that uses machine learning techniques, specifically Support Vector Machines (SVMs), to navigate autonomously while following traffic rules and avoiding accidents.
2. The system uses various sensors like ultrasonic sensors and IR sensors to detect objects and signs, which are classified by the SVM model. It also uses zone-based control and has live video streaming for monitoring.
3. The goal of the system is to help reduce accidents by at least half by enabling driverless capabilities. It also aims to provide independent transportation for disabled or elderly individuals.
IRJET- Design and Analysis of Street Light Control SystemIRJET Journal
This document summarizes a research paper that designed and analyzed a street light control system using various technologies to enable power savings. The system uses light dependent resistors (LDRs) to turn on LED street lights only when external light is low, infrared sensors to detect motion of cars/pedestrians and turn on lights accordingly, and pulse width modulation to gradually fade lights on and off. Wireless communication using ZigBee allows information transfer to a control terminal. The system was tested and able to detect faults in lights and sensors. It provides an affordable and automated solution to efficiently manage street lighting networks.
IRJET - Zigbee based Street Light Control SystemIRJET Journal
This document describes a zigbee-based street light control system that uses sensors and wireless communication to automatically control street lights. The system aims to reduce energy waste and maintenance costs by only turning lights on when motion is detected. It uses an Arduino microcontroller, PIR motion sensors, LDR light sensors, LED street lights, transistors, and zigbee modems for wireless communication between lights. When a passerby triggers a PIR sensor, it communicates with nearby lights to illuminate and ensure a safe light circle. This smart lighting system intends to efficiently control street lights based on presence detection while lowering energy consumption and costs compared to traditional static lighting systems.
This document proposes a smart street light system using IoT to reduce energy waste from street lights and increase safety at blind curves. It uses infrared sensors to detect vehicles and adjust street light brightness. When a vehicle is detected, a signal is sent to an alert system at blind curves using an nRF24L01 module. The alert system, controlled by an Arduino UNO, uses the signal timing to determine which direction has priority and displays red or green LED lights to drivers accordingly. The system aims to automatically control street lights based on presence of vehicles and warn drivers at blind curves to reduce accidents and energy consumption from lights.
IRJET - Automatic Street Light Control by Detecting Vehicle MovementIRJET Journal
This document summarizes a research paper that proposes an automatic street light control system using vehicle movement detection. The system uses an IR sensor and LDR sensor to detect vehicles and light intensity. When a vehicle is detected, the street lights in front of it are turned on using an Arduino microcontroller. When the vehicle passes, the lights are turned off to conserve energy. The system is intended to reduce energy consumption by only illuminating streets when vehicles are present. It provides real-time control of street lights through wireless communication between lights and a control unit.
Energy-efficient Intelligent Street Lighting SystemIRJET Journal
This document summarizes a research paper on an energy-efficient intelligent street lighting system. The proposed system combines motion sensing, light sensing, and automatic dimming control features. It uses sensors like a light dependent resistor and motion sensor along with a microcontroller and WiFi module to automatically adjust the brightness of LED street lights based on ambient light levels and detected movement. This is intended to reduce energy consumption by preventing lights from remaining on during daylight hours or when no traffic is present. The system architecture and algorithm are described and it is suggested this approach could lower costs by using less energy and extending the lifetime of the lights.
IRJET-Secure IoT Data using Cryptography AlgorithmIRJET Journal
This document summarizes a research paper that proposes a system to securely transmit Internet of Things (IoT) data from an automated street lighting system using cryptography. The system uses infrared sensors and light dependent resistors to detect vehicles and control street lights. When movement is detected, lights turn on and off as needed. Energy usage data is stored in a database and encrypted using an AES algorithm before being sent to a cloud server for authorized remote access and monitoring of the street lighting system. The system aims to save energy by automating lighting based on presence detection while also securing the IoT data transmission through encryption.
Automatic Intelligent Traffic Controller and Operation ModeIRJET Journal
This document summarizes an automatic intelligent traffic controller system that uses IR sensors and an Arduino board to control traffic lights and road spikes based on vehicle density and emergencies. IR sensors placed on the roadside measure vehicle input and output counts to determine traffic density. Higher density lanes will get longer green lights. In emergencies, IR sensors on an ambulance can trigger green lights and deactivate road spikes 50 yards before intersections. The system aims to reduce traffic and wasted time compared to traditional time-based controls. It uses an Arduino as the main controller, an LCD to display traffic data, LEDs for traffic lights, motors to control road spikes, and IR sensors to detect vehicles and emergencies.
IRJET- IoT based Solar Street Light Intensity Control SystemIRJET Journal
This document proposes an Internet of Things (IoT) based solar street light intensity control system that automatically adjusts light intensity based on time of day and traffic levels to save energy. The system uses a solar panel to power LED street lights connected to an Arduino microcontroller. Light intensity is varied from 30% during low traffic night hours up to 100% when motion is detected. The Arduino code and a Blynk app allow remote monitoring and control of street light intensity over the internet. This provides an energy efficient smart street lighting solution.
IRJET- Smart Blind Stick for Visually Impaired PeopleIRJET Journal
This document describes a smart blind stick that uses various sensors to help visually impaired people navigate safely. The stick contains an ATmega8 microcontroller, ultrasonic sensors to detect obstacles, a moisture sensor to detect water, and a PIR sensor to detect humans. When obstacles are near, the microcontroller sends a signal to a Bluetooth module connected to a smartphone via an Android app. This allows the system to provide navigation assistance and help avoid dangers using sensors. The goal is to enable the visually impaired to move with greater ease, confidence and independence than with a traditional white cane.
IRJET - Smart Street Light System using IoTIRJET Journal
This document describes a proposed smart street light system using IoT. It begins with an abstract that outlines the goals of the system, which are to provide an efficient and energy-saving lighting system through automatic determination of lighting conditions. It then provides details on the methodology, including a description of the current manual system and expected energy savings of a smart system using various techniques like dimming and scheduling. Key components of the proposed system are described, including an LDR sensor, relay, ESP8266 module, and ThingSpeak platform. Results are presented showing estimated energy consumption and savings. The conclusion states that the automated IoT-based system can significantly save energy compared to a manual system while reducing costs and carbon emissions.
IRJET- Monitoring and Measurement of Solar Parameters using IoTIRJET Journal
This document describes a system for monitoring and measuring parameters of a solar panel in real-time using Internet of Things (IoT). Sensors measure the voltage, current, power, and light intensity of the solar panel. An Arduino microcontroller collects the sensor data and sends it to a WiFi module. The WiFi module then transmits the data to a cloud-based platform called ThingSpeak, which displays the parameters as live-updating graphs accessible from any device with an internet connection. This real-time monitoring system allows users to analyze solar energy usage and predict future parameter values.
In today’s world energy saving has become a major factor and need. This project is developed keeping this problem in mind. The huge amount of electrical power of many countries is consumed in lighting the streets. However, there are stages of time when there is less vehicle density during night time or even no vehicles during late night time. The main principle of this system is object detection and then triggering the respective circuit and to provide light only at that part of road where it is needed. Logically, this system may save a large amount of the electrical power. This paper focuses on the proposal of different possible architectures of this system.
One of the most well-known challenges in machine learning and computer vision applications is handwritten digit recognition. To overcome the challenge of handwritten digit and/or letter recognition, a variety of machine learning algorithms have been used. The current research focuses on using Neural Networks to overcome the problem. Deep neural networks, deep belief networks, and convolutional neural networks are the three most well-known methodologies.
Today, air pollution is one of the significant environmental issues that causes adverse health effects in human bodies such as cancer, cardiologic disease and, high mortality rate resulting in damaging effects on the welfare of humans, animals and other living organisms of the environment. According to the recent research survey from WHO, India was the third most polluted country globally in 2020. Every year, about 2.5 million Indians, almost 30%, die from air pollution caused by burning fossil fuels.
Recently, in the whole world, enormous electric energy is consumed by the street lights. These lights are automatically turn on when it becomes dark and automatically turn off when it becomes bright. This is the huge waste of energy in the whole world and should be controlled. Street lights in India consume approximately 20-40% of the electrical energy produced in the entirenation and the demand for electricity in recent years has increased day by day. In this paper, smart street light is introduced which is IoT based, it aims to automate the light system, also, LEDs are used to assures the low power consumption.
IRJET- Smart Street Light Control SystemIRJET Journal
This document describes a smart street light control system that uses an Arduino UNO board, LDR sensor, and IR sensor to reduce electricity consumption. The LDR sensor detects light levels and turns the street lights on and off accordingly. The IR sensor detects moving objects and signals the microcontroller to turn on street lights in that area. When fully implemented, this system will automatically switch street lights on only when needed based on light levels or detected movement, thereby reducing unnecessary lighting and electricity usage compared to traditional street light systems.
IRJET- Clash Avoidance at Hairpin Bends using IR SensorIRJET Journal
This document proposes a system to avoid accidents at hairpin bends using IR sensors. It describes placing IR sensors on one side of the bend that detect vehicles approaching from the opposite side. When a vehicle is detected, an Arduino microcontroller triggers LED lights on the other side to warn drivers. The system is intended to improve safety on dangerous mountain roads and hairpin turns where visibility is limited. It detects vehicles using IR sensors and transmits that data to alert drivers with LED lights, helping prevent collisions when visibility is restricted. Future work could involve adding GSM modules to automatically alert emergency services if an accident occurs.
IRJET - Real Time Street Light using Raspberry PiIRJET Journal
This document describes a real-time street light system using a Raspberry Pi that aims to reduce power consumption. An infrared sensor detects vehicles, animals or people within 100 meters of a street light and a light dependent resistor sensor detects darkness. The street light will only turn on when both sensors provide a positive response. This prevents wastage by not illuminating when no movement is detected. The system uses solar power from photovoltaic cells charged by a battery and controller to automatically turn the solar LED street lights on at dusk and off at dawn daily.
Ball following Robot using ESP32-cam & Arduino UNOIRJET Journal
1) The document describes a ball following robot that uses an ESP32-cam and Arduino UNO microcontroller. 2) Key components of the robot include IR sensors to detect the ball, an L293D motor driver to control the DC motors that power the wheels, and an ESP32-cam that processes camera images to track the ball's movement. 3) The robot is designed to autonomously follow and track a ball similar to a human player in a game like soccer, for purposes of entertainment, research, and studying human-robot interaction.
IRJET- IoT based Fisherman Border Alert System using GPS and WSNIRJET Journal
This document describes a proposed system to alert fishermen if they cross maritime borders using GPS and wireless sensor networks. The system uses a GPS module to track the location of fishing boats and compare it to predefined border coordinates. If a boat crosses the border, an alarm is activated which triggers a relay circuit to reverse the boat. A wireless sensor network transmits location data between the boats and a monitoring station. The goal is to prevent fishermen from accidentally crossing borders and endangering their lives.
IRJET- IoT based Fisherman Border Alert System using GPS and WSNIRJET Journal
This document describes an IoT-based system to alert fishermen if they cross maritime borders and enter restricted areas. The system uses GPS to track the location of fishing boats and wireless sensor networks to transmit location data. If a boat crosses the border, an alarm will sound and the boat's engine will reverse to prevent entry into restricted waters. The system aims to safeguard fishermen's lives by alerting them and coastal authorities if boats enter areas where they could be detained by neighboring countries.
IRJET - Compactness based Traffic Signal Monitoring SystemIRJET Journal
This document describes a compactness-based traffic signal monitoring system that uses IoT devices like IR sensors and Arduino boards. The system aims to reduce traffic congestion by monitoring vehicle density using IR sensors on roads and dynamically adjusting traffic light timing slots accordingly. It allows emergency vehicles to get priority access through the use of RFID tags. The system is designed to operate in both automatic and manual modes. It was tested and found to control traffic signals as intended based on real-time vehicle density readings from IR sensors. The proposed approach aims to provide more efficient traffic flow management compared to traditional fixed-timing traffic light systems.
This document describes an Internet of Things (IoT) based asset tracking system. It discusses the need for asset tracking in hospitals to improve safety and security. The proposed system uses Radio Frequency Identification (RFID) tags attached to assets to track their location in real-time using a GPS module. An Arduino microcontroller, ESP8266 WiFi module, encoder, decoder and rectifier are used to build the tracking device. A simulation of the system showed it could accurately display the coordinates of tagged assets. The system aims to develop a web and mobile application for easy monitoring of hospital equipment to improve operational efficiency.
A Voice Controlled Vehicle For The Aid Of Disabled PersonIRJET Journal
This document describes a voice-controlled vehicle prototype designed to aid disabled individuals. The prototype uses voice recognition technology to allow users to control a wheelchair or small robot vehicle through voice commands via a mobile phone. The system is intended to give disabled people independent mobility. It works by converting voice commands to electrical signals, recognizing the commands, translating them into actions, and wirelessly controlling motors and movement. The goal is to empower disabled individuals by allowing them to navigate autonomously using just their voice. Potential applications include use in wheelchairs, industrial settings, delivery services, and emergencies.
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
IRJET-Secure IoT Data using Cryptography AlgorithmIRJET Journal
This document summarizes a research paper that proposes a system to securely transmit Internet of Things (IoT) data from an automated street lighting system using cryptography. The system uses infrared sensors and light dependent resistors to detect vehicles and control street lights. When movement is detected, lights turn on and off as needed. Energy usage data is stored in a database and encrypted using an AES algorithm before being sent to a cloud server for authorized remote access and monitoring of the street lighting system. The system aims to save energy by automating lighting based on presence detection while also securing the IoT data transmission through encryption.
Automatic Intelligent Traffic Controller and Operation ModeIRJET Journal
This document summarizes an automatic intelligent traffic controller system that uses IR sensors and an Arduino board to control traffic lights and road spikes based on vehicle density and emergencies. IR sensors placed on the roadside measure vehicle input and output counts to determine traffic density. Higher density lanes will get longer green lights. In emergencies, IR sensors on an ambulance can trigger green lights and deactivate road spikes 50 yards before intersections. The system aims to reduce traffic and wasted time compared to traditional time-based controls. It uses an Arduino as the main controller, an LCD to display traffic data, LEDs for traffic lights, motors to control road spikes, and IR sensors to detect vehicles and emergencies.
IRJET- IoT based Solar Street Light Intensity Control SystemIRJET Journal
This document proposes an Internet of Things (IoT) based solar street light intensity control system that automatically adjusts light intensity based on time of day and traffic levels to save energy. The system uses a solar panel to power LED street lights connected to an Arduino microcontroller. Light intensity is varied from 30% during low traffic night hours up to 100% when motion is detected. The Arduino code and a Blynk app allow remote monitoring and control of street light intensity over the internet. This provides an energy efficient smart street lighting solution.
IRJET- Smart Blind Stick for Visually Impaired PeopleIRJET Journal
This document describes a smart blind stick that uses various sensors to help visually impaired people navigate safely. The stick contains an ATmega8 microcontroller, ultrasonic sensors to detect obstacles, a moisture sensor to detect water, and a PIR sensor to detect humans. When obstacles are near, the microcontroller sends a signal to a Bluetooth module connected to a smartphone via an Android app. This allows the system to provide navigation assistance and help avoid dangers using sensors. The goal is to enable the visually impaired to move with greater ease, confidence and independence than with a traditional white cane.
IRJET - Smart Street Light System using IoTIRJET Journal
This document describes a proposed smart street light system using IoT. It begins with an abstract that outlines the goals of the system, which are to provide an efficient and energy-saving lighting system through automatic determination of lighting conditions. It then provides details on the methodology, including a description of the current manual system and expected energy savings of a smart system using various techniques like dimming and scheduling. Key components of the proposed system are described, including an LDR sensor, relay, ESP8266 module, and ThingSpeak platform. Results are presented showing estimated energy consumption and savings. The conclusion states that the automated IoT-based system can significantly save energy compared to a manual system while reducing costs and carbon emissions.
IRJET- Monitoring and Measurement of Solar Parameters using IoTIRJET Journal
This document describes a system for monitoring and measuring parameters of a solar panel in real-time using Internet of Things (IoT). Sensors measure the voltage, current, power, and light intensity of the solar panel. An Arduino microcontroller collects the sensor data and sends it to a WiFi module. The WiFi module then transmits the data to a cloud-based platform called ThingSpeak, which displays the parameters as live-updating graphs accessible from any device with an internet connection. This real-time monitoring system allows users to analyze solar energy usage and predict future parameter values.
In today’s world energy saving has become a major factor and need. This project is developed keeping this problem in mind. The huge amount of electrical power of many countries is consumed in lighting the streets. However, there are stages of time when there is less vehicle density during night time or even no vehicles during late night time. The main principle of this system is object detection and then triggering the respective circuit and to provide light only at that part of road where it is needed. Logically, this system may save a large amount of the electrical power. This paper focuses on the proposal of different possible architectures of this system.
One of the most well-known challenges in machine learning and computer vision applications is handwritten digit recognition. To overcome the challenge of handwritten digit and/or letter recognition, a variety of machine learning algorithms have been used. The current research focuses on using Neural Networks to overcome the problem. Deep neural networks, deep belief networks, and convolutional neural networks are the three most well-known methodologies.
Today, air pollution is one of the significant environmental issues that causes adverse health effects in human bodies such as cancer, cardiologic disease and, high mortality rate resulting in damaging effects on the welfare of humans, animals and other living organisms of the environment. According to the recent research survey from WHO, India was the third most polluted country globally in 2020. Every year, about 2.5 million Indians, almost 30%, die from air pollution caused by burning fossil fuels.
Recently, in the whole world, enormous electric energy is consumed by the street lights. These lights are automatically turn on when it becomes dark and automatically turn off when it becomes bright. This is the huge waste of energy in the whole world and should be controlled. Street lights in India consume approximately 20-40% of the electrical energy produced in the entirenation and the demand for electricity in recent years has increased day by day. In this paper, smart street light is introduced which is IoT based, it aims to automate the light system, also, LEDs are used to assures the low power consumption.
IRJET- Smart Street Light Control SystemIRJET Journal
This document describes a smart street light control system that uses an Arduino UNO board, LDR sensor, and IR sensor to reduce electricity consumption. The LDR sensor detects light levels and turns the street lights on and off accordingly. The IR sensor detects moving objects and signals the microcontroller to turn on street lights in that area. When fully implemented, this system will automatically switch street lights on only when needed based on light levels or detected movement, thereby reducing unnecessary lighting and electricity usage compared to traditional street light systems.
IRJET- Clash Avoidance at Hairpin Bends using IR SensorIRJET Journal
This document proposes a system to avoid accidents at hairpin bends using IR sensors. It describes placing IR sensors on one side of the bend that detect vehicles approaching from the opposite side. When a vehicle is detected, an Arduino microcontroller triggers LED lights on the other side to warn drivers. The system is intended to improve safety on dangerous mountain roads and hairpin turns where visibility is limited. It detects vehicles using IR sensors and transmits that data to alert drivers with LED lights, helping prevent collisions when visibility is restricted. Future work could involve adding GSM modules to automatically alert emergency services if an accident occurs.
IRJET - Real Time Street Light using Raspberry PiIRJET Journal
This document describes a real-time street light system using a Raspberry Pi that aims to reduce power consumption. An infrared sensor detects vehicles, animals or people within 100 meters of a street light and a light dependent resistor sensor detects darkness. The street light will only turn on when both sensors provide a positive response. This prevents wastage by not illuminating when no movement is detected. The system uses solar power from photovoltaic cells charged by a battery and controller to automatically turn the solar LED street lights on at dusk and off at dawn daily.
Ball following Robot using ESP32-cam & Arduino UNOIRJET Journal
1) The document describes a ball following robot that uses an ESP32-cam and Arduino UNO microcontroller. 2) Key components of the robot include IR sensors to detect the ball, an L293D motor driver to control the DC motors that power the wheels, and an ESP32-cam that processes camera images to track the ball's movement. 3) The robot is designed to autonomously follow and track a ball similar to a human player in a game like soccer, for purposes of entertainment, research, and studying human-robot interaction.
IRJET- IoT based Fisherman Border Alert System using GPS and WSNIRJET Journal
This document describes a proposed system to alert fishermen if they cross maritime borders using GPS and wireless sensor networks. The system uses a GPS module to track the location of fishing boats and compare it to predefined border coordinates. If a boat crosses the border, an alarm is activated which triggers a relay circuit to reverse the boat. A wireless sensor network transmits location data between the boats and a monitoring station. The goal is to prevent fishermen from accidentally crossing borders and endangering their lives.
IRJET- IoT based Fisherman Border Alert System using GPS and WSNIRJET Journal
This document describes an IoT-based system to alert fishermen if they cross maritime borders and enter restricted areas. The system uses GPS to track the location of fishing boats and wireless sensor networks to transmit location data. If a boat crosses the border, an alarm will sound and the boat's engine will reverse to prevent entry into restricted waters. The system aims to safeguard fishermen's lives by alerting them and coastal authorities if boats enter areas where they could be detained by neighboring countries.
IRJET - Compactness based Traffic Signal Monitoring SystemIRJET Journal
This document describes a compactness-based traffic signal monitoring system that uses IoT devices like IR sensors and Arduino boards. The system aims to reduce traffic congestion by monitoring vehicle density using IR sensors on roads and dynamically adjusting traffic light timing slots accordingly. It allows emergency vehicles to get priority access through the use of RFID tags. The system is designed to operate in both automatic and manual modes. It was tested and found to control traffic signals as intended based on real-time vehicle density readings from IR sensors. The proposed approach aims to provide more efficient traffic flow management compared to traditional fixed-timing traffic light systems.
This document describes an Internet of Things (IoT) based asset tracking system. It discusses the need for asset tracking in hospitals to improve safety and security. The proposed system uses Radio Frequency Identification (RFID) tags attached to assets to track their location in real-time using a GPS module. An Arduino microcontroller, ESP8266 WiFi module, encoder, decoder and rectifier are used to build the tracking device. A simulation of the system showed it could accurately display the coordinates of tagged assets. The system aims to develop a web and mobile application for easy monitoring of hospital equipment to improve operational efficiency.
A Voice Controlled Vehicle For The Aid Of Disabled PersonIRJET Journal
This document describes a voice-controlled vehicle prototype designed to aid disabled individuals. The prototype uses voice recognition technology to allow users to control a wheelchair or small robot vehicle through voice commands via a mobile phone. The system is intended to give disabled people independent mobility. It works by converting voice commands to electrical signals, recognizing the commands, translating them into actions, and wirelessly controlling motors and movement. The goal is to empower disabled individuals by allowing them to navigate autonomously using just their voice. Potential applications include use in wheelchairs, industrial settings, delivery services, and emergencies.
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.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
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%.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.