Learn how to wirelessly transmit sensor data using nRF24L01 and Arduino Uno. A simple project demonstrating real-time communication with DHT11 and OLED display.
Wireless humidity and temperature monitoring systemSagar Srivastav
Source - http://www.engineersgarage.com
Humidity and temperature monitoring systems are quite common in industries. These environment factors need constant supervision to maintain reliability and efficiency of the industrial devices. The monitoring systems used in industries are generally wired where sensor unit and the sensor monitoring system connects through a cable wire. The humidity and temperature monitoring systems can be made wireless using the 434 RF modules. With wireless connectivity, the sensor and the monitoring systems can be installed separately and industrial equipment can be remotely supervised. Plus, the cost for extensive cable installation is also saved.
Sensors DTH11 PIR HC-05 (2) of sudhanshu.pptxSudhanshu278904
Ultrasonic Description
Ultrasonic refers to sound waves that have a frequency higher than the upper audible limit of human hearing, typically above 20,000 Hz (20 kHz). These waves are not detectable by the human ear but are widely used in various applications due to their ability to travel through different mediums and reflect off objects.
Key Features:
Frequency Range: Above 20 kHz
Inaudible to Humans
Used in: Sensing, measurement, cleaning, communication, medical imaging
Common Applications:
Ultrasonic Sensors: Used in robotics, automation, and farming for distance measurement and object detection.
Ultrasound Imaging: In medical diagnostics, especially in prenatal scanning.
Ultrasonic Cleaning: High-frequency vibrations clean delicate items like jewelry or medical instruments.
Pest Repellents: Emit ultrasonic waves to deter insects and rodents.
1. The document describes the development of an "On Panel Signalling System in trains with Auxiliary Warning System" to provide real-time signal status to train operators.
2. The system uses microcontrollers, radiofrequency and infrared transmitters and receivers to transmit signal status from signals to a panel in the train cabin.
3. If the operator fails to respond to a red signal, the train will automatically apply brakes to halt the train, improving safety over the existing system.
AN APPROACH TO SMART HOME SECURITY SYSTEM USING ARDUINOhugoshan513
Recent advancements in the field of Internet of Things (IoT) have turned this area in one of the most
promising research topics to bring innovative and useful technologies in the future. Solutions for a low-cost
and efficient Home Automation model have always been a widely addressed problem; This study focuses on
the architecture and design of wireless, flexible and inexpensive smart home system. Using Mega 2560
Arduino Board Platform, we develop an intelligent system able to send real-time video and GSM-based
information of a break-in, fire and motion detection, along with an advanced temperature and humidity
monitoring system. A prototype is designed, and tested on China Mobile Network, in 20 samples the
prototype shows a 9.4s average time of response.
AN APPROACH TO SMART HOME SECURITY SYSTEM USING ARDUINOijscai
Recent advancements in the field of Internet of Things (IoT) have turned this area in one of the most
promising research topics to bring innovative and useful technologies in the future. Solutions for a low-cost
and efficient Home Automation model have always been a widely addressed problem; This study focuses on
the architecture and design of wireless, flexible and inexpensive smart home system. Using Mega 2560
Arduino Board Platform, we develop an intelligent system able to send real-time video and GSM-based
information of a break-in, fire and motion detection, along with an advanced temperature and humidity
monitoring system. A prototype is designed, and tested on China Mobile Network, in 20 samples the
prototype shows a 9.4s average time of response.
Analog data transmission on rf module using arduinoSagar Srivastav
Source - http://www.engineersgarage.com
The transmission of digital data over an RF module is quite common. The 434 RF modules are capable of transmitting 4-bit data along with the address byte. The circuits using RF modules for digital data transmission are simple and uses HT12E encoder and HT12D decoder ICs for parallel to serial and serial to parallel data conversion respectively. In real-life situations, the source of digital data are only the computers, microcomputers or digital ICs.
Patient Health Monitoring System Using Arduino & ESP8266Rishav Pandey
Sometimes it happens when patients struggles to find hospital beds but due to high number of covid patients they are forced to stay at home and aren't monitored by any doctor. This Health Monitoring System designed with the help of Arduino UNO board and ESP8266 wifi microchip helps the doctor to monitor the patient remotely (connected via an IoT based platform ThingSpeak). ESP8266 wi-fi microchip is used to provide internet connectivity to our project (or we can connect our project to any wifi using same). The system consists of a pulse sensor and and an LM35 temperature sensor which measures the patient's heart beats per minute and body temperature respectively. The Arduino reads the sensor data, converts them into string, passes them to the IoT platform (ThingSpeak) and also displays the BPM and body temperature on LCD display.
In this way a doctor can remotely monitor the patients and take appropriate actions when required.
Small, widely available and dirt-cheap ultrasonic sensors enable us to design both simple and lavish measuring devices for all kinds of ranging. Take one of these modules, add a display, a couple of press-buttons and a micro-controller loaded with software, and you now have all the ingredients for a circuit of this kind.
Using LoRa Technology to Monitor and Control Sensors in GreenhouseIRJET Journal
This document describes a system that uses LoRa technology to remotely monitor and control sensors in a greenhouse. The system has two sections - the first section uses sensors to measure temperature, humidity, soil moisture, and rain inside the greenhouse and sends this data to the second section using LoRa technology. The second section receives the sensor data using LoRa, connects to the internet or an IoT network, and displays the readings on a website to allow for remote monitoring from anywhere. The system provides long-range wireless connectivity of up to 15 km to integrate and control the greenhouse sensors remotely.
Ijeee 33-36-surveillance system for coal mines based on wireless sensor networkKumar Goud
Abstract: The foremost critical task for coal mine is of keeping track of miners spread out across a large mining areas .It becomes even difficult when mine tunnels collapse. Many mines use a radio system to track miners, but when a collapse occurs, the base stations connected by a thin wire often are rendered useless. In this project to overcome the demerits of radio system we used wireless technology for tracking the miners. For this purpose a small RF transmitter module is equipped to each person entering a mine. Each transceiver placed in the mine look after the location of miners. The transceivers communicate with base stations through Zigbee module. In addition of tracking the location of miners we also include sensors such as temperature & humidity to intimate the base station & miners when some atmosphere changes occur. Mine operators are now able to monitor the real-time locations of each miner to better pinpoint their locations in the event of an emergency. Even after a full-day of use, mine operators can locate an individual miner within ten feet.
Key Words: Wireless sensor networks (WSN), ZIGBEE, and LPC2148.
Ultrasonic Distance Measurement NRF905 Wireless Transmission System Based on ...Wanita Long
ICStation Team introduce you this ultrasonic distance measurement NRF905 wireless transmission system with ICStation UNO and Mega 2560 compatible with Arduino. The working voltage is DC5V. It uses ultrasonic to measure distance and realizes wireless transmission with NRF905. The minimum accuracy of this design is one centimeter. The measuring effect is best between 3 and 100 centimeter. It can be used in the area where has no high demand of accuracy, such as the obstacle avoidance of robot and the distance detection alarm when reversing a car.
This document describes a project to control a car's orientation through hand gestures detected by an MPU6050 gyroscope module. An Arduino Nano reads the hand movements from the MPU6050 and sends wireless control signals to a receiver using an RF module. The receiver decodes the signals using an HT12D decoder and drives two DC motors with an L293D motor driver to control the car's orientation based on the hand gestures. Block diagrams and brief descriptions of the main components - Arduino Nano, MPU6050 gyroscope, RF transmission modules, motor driver, and decoders - are provided.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The document summarizes the key components used to design a connected thermometer, including an HC-06 Bluetooth module, DHT11 temperature and humidity sensor, Arduino Uno microcontroller, LCD display, and LED battery. It also discusses the Arduino programming language and environment. The demonstration section shows how to connect the components and display real-time temperature and humidity readings over Bluetooth on a smartphone. The conclusion reflects on learning about IoT systems and their business models.
With the advent of technology, life has become faster in pace and shorter in interactions, with others, as well as with the surroundings. In such a scenario, there is a need to have an endeavor to have everything at the push of a button away, and more importantly, automated. Home Automation is such an endeavor, in which, all the electrical appliances present at home are connected to each other, having interactions with sensors placed at strategic positions in a closed loop manner in order to perform meager tasks automatically, leaving less burden on the humans. With this project we are promoting the fact that Home Automation can greatly contribute to energy conservation too.
WSN Based Temperature Monitoring System for Multiple Locations in Industryijtsrd
This document describes a wireless sensor network system for monitoring temperature at multiple locations in an industry. The system uses Arduino boards, DHT11 temperature and humidity sensors, and nRF24L01 radio transceivers connected to wireless sensor nodes placed around the industry. The sensor nodes send temperature data to a gateway node, which then sends the data to the cloud for monitoring and alerts if the temperature exceeds a threshold. The system allows for easy temperature monitoring of inaccessible or costly to wire areas of an industry in real-time.
The document describes a proposed design for an autonomous self-driving wheelchair called the i-STROLLER. It uses line following and obstacle avoidance capabilities to reduce the need for human intervention. An ultrasonic sensor and infrared sensors allow it to follow a line and detect obstacles. A Node MCU controller processes sensor inputs to control motors via an L298N driver. Wireless transmission using RF modules allows remote operation. The goal is to increase mobility for disabled users by providing a self-driving chair that can navigate independently.
Arduino based digital smart thermometer.pptxProttoy5
This document describes the design and implementation of a smart health monitoring system using an Arduino board and NTC temperature sensor. The system measures body temperature and displays it on an LCD screen. It also has LED indicators and a buzzer to alert if temperature exceeds normal or higher limits. The system takes temperature readings as voltage from the sensor and the Arduino board converts it to degrees Celsius for display. It can help monitor temperature in medical settings and homes while also informing people who are blind or illiterate.
The document discusses various sensors and actuators that can be used with an Arduino board. It describes analog input pins and the analog-to-digital converter on the Arduino, which allows sensors to be read. It also discusses using a potentiometer to read analog sensor values and control an LED brightness. Pulse width modulation (PWM) is introduced for generating analog outputs with digital pins. Common sensors like a photoresistor, temperature sensor, and DHT11 humidity sensor are described. For outputs, the document discusses servo motors and controlling servo position either with code or a potentiometer. It also mentions libraries that add functionality to Arduino sketches.
Monitoring of the temperature and humidity over Bluetooth smartMehmet Kanal
The project aimed to process the temperature & humidity signals coming from the sensor DHT11 and send this information to smart phone by Bluetooth Low Energy using 32-bit ARM M0 architectured Nordic NRF51822.
This document describes 5 experiments conducted in an IoT and ADBMS laboratory. The experiments cover topics like serial communication using UART, wireless communication between RF modules, reading sensor data from a DHT11 temperature and humidity sensor, and I2C communication between Arduino boards. Hardware components used include Arduino boards, RF transmitters/receivers, a DHT11 sensor, LCD display, LEDs, breadboard and connecting wires. The document provides aims, objectives, components, connections, procedures and code for each experiment.
This document provides an overview and introduction to a digital home automation project using Arduino and Bluetooth. The project aims to develop a home automation system that allows appliances to be remotely controlled via an Android smartphone application. Key components include an Arduino Uno microcontroller, HC-05 Bluetooth module, relays, and an Android app. The system allows electrical appliances like lights and fans to be switched on or off from a smartphone. The Arduino code controls the relays based on commands received over Bluetooth from the Android app.
Application of Zigbee in Smart Home with Dynamic Routing AlgorithmNooria Sukmaningtyas
In order to avoid damaging the walls and bore a hole through the walls, also to save the cost of
rewiring, low voltage power line can be used to implement the smart home. However, several difficult
problem must be solved at the same time , the most important are finding a technology method to
suppress the noise interference and resist the weaker signal. The smart home system is introduced in the
paper. During the design of Smart Home System adopting power line signal carrier, a dynamic routine
algorithm based on the idea of Genetic Algorithm is proposed to cope with the time-varying and random
feature of power line channel. Thus the system can find the transmission path in real time and dispatch the
signal carrier to transmit among the nodes. With this algorithm, the communication between a certain
group-controller and its terminal nodes or between the main-controller and the group-controllers is realized
successfully. In the proposed algorithm all nodes but the controller adopt same driver, therefore the plug
and play is realized for all nodes.
Porte à puce - Smart Safety Door based on Arduino UNO R3Meifani Sumadijaya
Porte à Puce is a smart door security system with passcode, temperature, and humidity sensors built using an Arduino microcontroller. It has a keypad to enter a passcode, displays humidity and temperature readings, and will open automatically if the temperature reaches 35°C. It was created as a student project and cost approximately 443,000 Indonesian Rupiah to build using components like an Arduino, LCD screen, sensors, motors and other electronics. The system provides basic home security and safety functions while keeping costs low.
Interfacing PMW3901 Optical Flow Sensor with ESP32CircuitDigest
Learn how to connect a PMW3901 Optical Flow Sensor with an ESP32 to measure surface motion and movement without GPS! This project explains how to set up the sensor using SPI communication, helping create advanced robotics like autonomous drones and smart robots.
Send SMS with Arduino UNO R4 via InternetCircuitDigest
Discover how to send SMS using Arduino UNO R4 Wi-Fi without a GSM module. This project utilizes the Circuit Digest Cloud API and a basic web interface to deliver real-time text messages over the internet, ideal for IoT and alert systems.
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Small, widely available and dirt-cheap ultrasonic sensors enable us to design both simple and lavish measuring devices for all kinds of ranging. Take one of these modules, add a display, a couple of press-buttons and a micro-controller loaded with software, and you now have all the ingredients for a circuit of this kind.
Using LoRa Technology to Monitor and Control Sensors in GreenhouseIRJET Journal
This document describes a system that uses LoRa technology to remotely monitor and control sensors in a greenhouse. The system has two sections - the first section uses sensors to measure temperature, humidity, soil moisture, and rain inside the greenhouse and sends this data to the second section using LoRa technology. The second section receives the sensor data using LoRa, connects to the internet or an IoT network, and displays the readings on a website to allow for remote monitoring from anywhere. The system provides long-range wireless connectivity of up to 15 km to integrate and control the greenhouse sensors remotely.
Ijeee 33-36-surveillance system for coal mines based on wireless sensor networkKumar Goud
Abstract: The foremost critical task for coal mine is of keeping track of miners spread out across a large mining areas .It becomes even difficult when mine tunnels collapse. Many mines use a radio system to track miners, but when a collapse occurs, the base stations connected by a thin wire often are rendered useless. In this project to overcome the demerits of radio system we used wireless technology for tracking the miners. For this purpose a small RF transmitter module is equipped to each person entering a mine. Each transceiver placed in the mine look after the location of miners. The transceivers communicate with base stations through Zigbee module. In addition of tracking the location of miners we also include sensors such as temperature & humidity to intimate the base station & miners when some atmosphere changes occur. Mine operators are now able to monitor the real-time locations of each miner to better pinpoint their locations in the event of an emergency. Even after a full-day of use, mine operators can locate an individual miner within ten feet.
Key Words: Wireless sensor networks (WSN), ZIGBEE, and LPC2148.
Ultrasonic Distance Measurement NRF905 Wireless Transmission System Based on ...Wanita Long
ICStation Team introduce you this ultrasonic distance measurement NRF905 wireless transmission system with ICStation UNO and Mega 2560 compatible with Arduino. The working voltage is DC5V. It uses ultrasonic to measure distance and realizes wireless transmission with NRF905. The minimum accuracy of this design is one centimeter. The measuring effect is best between 3 and 100 centimeter. It can be used in the area where has no high demand of accuracy, such as the obstacle avoidance of robot and the distance detection alarm when reversing a car.
This document describes a project to control a car's orientation through hand gestures detected by an MPU6050 gyroscope module. An Arduino Nano reads the hand movements from the MPU6050 and sends wireless control signals to a receiver using an RF module. The receiver decodes the signals using an HT12D decoder and drives two DC motors with an L293D motor driver to control the car's orientation based on the hand gestures. Block diagrams and brief descriptions of the main components - Arduino Nano, MPU6050 gyroscope, RF transmission modules, motor driver, and decoders - are provided.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
The document summarizes the key components used to design a connected thermometer, including an HC-06 Bluetooth module, DHT11 temperature and humidity sensor, Arduino Uno microcontroller, LCD display, and LED battery. It also discusses the Arduino programming language and environment. The demonstration section shows how to connect the components and display real-time temperature and humidity readings over Bluetooth on a smartphone. The conclusion reflects on learning about IoT systems and their business models.
With the advent of technology, life has become faster in pace and shorter in interactions, with others, as well as with the surroundings. In such a scenario, there is a need to have an endeavor to have everything at the push of a button away, and more importantly, automated. Home Automation is such an endeavor, in which, all the electrical appliances present at home are connected to each other, having interactions with sensors placed at strategic positions in a closed loop manner in order to perform meager tasks automatically, leaving less burden on the humans. With this project we are promoting the fact that Home Automation can greatly contribute to energy conservation too.
WSN Based Temperature Monitoring System for Multiple Locations in Industryijtsrd
This document describes a wireless sensor network system for monitoring temperature at multiple locations in an industry. The system uses Arduino boards, DHT11 temperature and humidity sensors, and nRF24L01 radio transceivers connected to wireless sensor nodes placed around the industry. The sensor nodes send temperature data to a gateway node, which then sends the data to the cloud for monitoring and alerts if the temperature exceeds a threshold. The system allows for easy temperature monitoring of inaccessible or costly to wire areas of an industry in real-time.
The document describes a proposed design for an autonomous self-driving wheelchair called the i-STROLLER. It uses line following and obstacle avoidance capabilities to reduce the need for human intervention. An ultrasonic sensor and infrared sensors allow it to follow a line and detect obstacles. A Node MCU controller processes sensor inputs to control motors via an L298N driver. Wireless transmission using RF modules allows remote operation. The goal is to increase mobility for disabled users by providing a self-driving chair that can navigate independently.
Arduino based digital smart thermometer.pptxProttoy5
This document describes the design and implementation of a smart health monitoring system using an Arduino board and NTC temperature sensor. The system measures body temperature and displays it on an LCD screen. It also has LED indicators and a buzzer to alert if temperature exceeds normal or higher limits. The system takes temperature readings as voltage from the sensor and the Arduino board converts it to degrees Celsius for display. It can help monitor temperature in medical settings and homes while also informing people who are blind or illiterate.
The document discusses various sensors and actuators that can be used with an Arduino board. It describes analog input pins and the analog-to-digital converter on the Arduino, which allows sensors to be read. It also discusses using a potentiometer to read analog sensor values and control an LED brightness. Pulse width modulation (PWM) is introduced for generating analog outputs with digital pins. Common sensors like a photoresistor, temperature sensor, and DHT11 humidity sensor are described. For outputs, the document discusses servo motors and controlling servo position either with code or a potentiometer. It also mentions libraries that add functionality to Arduino sketches.
Monitoring of the temperature and humidity over Bluetooth smartMehmet Kanal
The project aimed to process the temperature & humidity signals coming from the sensor DHT11 and send this information to smart phone by Bluetooth Low Energy using 32-bit ARM M0 architectured Nordic NRF51822.
This document describes 5 experiments conducted in an IoT and ADBMS laboratory. The experiments cover topics like serial communication using UART, wireless communication between RF modules, reading sensor data from a DHT11 temperature and humidity sensor, and I2C communication between Arduino boards. Hardware components used include Arduino boards, RF transmitters/receivers, a DHT11 sensor, LCD display, LEDs, breadboard and connecting wires. The document provides aims, objectives, components, connections, procedures and code for each experiment.
This document provides an overview and introduction to a digital home automation project using Arduino and Bluetooth. The project aims to develop a home automation system that allows appliances to be remotely controlled via an Android smartphone application. Key components include an Arduino Uno microcontroller, HC-05 Bluetooth module, relays, and an Android app. The system allows electrical appliances like lights and fans to be switched on or off from a smartphone. The Arduino code controls the relays based on commands received over Bluetooth from the Android app.
Application of Zigbee in Smart Home with Dynamic Routing AlgorithmNooria Sukmaningtyas
In order to avoid damaging the walls and bore a hole through the walls, also to save the cost of
rewiring, low voltage power line can be used to implement the smart home. However, several difficult
problem must be solved at the same time , the most important are finding a technology method to
suppress the noise interference and resist the weaker signal. The smart home system is introduced in the
paper. During the design of Smart Home System adopting power line signal carrier, a dynamic routine
algorithm based on the idea of Genetic Algorithm is proposed to cope with the time-varying and random
feature of power line channel. Thus the system can find the transmission path in real time and dispatch the
signal carrier to transmit among the nodes. With this algorithm, the communication between a certain
group-controller and its terminal nodes or between the main-controller and the group-controllers is realized
successfully. In the proposed algorithm all nodes but the controller adopt same driver, therefore the plug
and play is realized for all nodes.
Porte à puce - Smart Safety Door based on Arduino UNO R3Meifani Sumadijaya
Porte à Puce is a smart door security system with passcode, temperature, and humidity sensors built using an Arduino microcontroller. It has a keypad to enter a passcode, displays humidity and temperature readings, and will open automatically if the temperature reaches 35°C. It was created as a student project and cost approximately 443,000 Indonesian Rupiah to build using components like an Arduino, LCD screen, sensors, motors and other electronics. The system provides basic home security and safety functions while keeping costs low.
Interfacing PMW3901 Optical Flow Sensor with ESP32CircuitDigest
Learn how to connect a PMW3901 Optical Flow Sensor with an ESP32 to measure surface motion and movement without GPS! This project explains how to set up the sensor using SPI communication, helping create advanced robotics like autonomous drones and smart robots.
Send SMS with Arduino UNO R4 via InternetCircuitDigest
Discover how to send SMS using Arduino UNO R4 Wi-Fi without a GSM module. This project utilizes the Circuit Digest Cloud API and a basic web interface to deliver real-time text messages over the internet, ideal for IoT and alert systems.
Complete Overview of Current Transformer TypesCircuitDigest
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How to build Blind Stick using Arduino Nano and Ultrasonic sensorCircuitDigest
Learn how to build a smart blind stick using Arduino Nano and ultrasonic sensors to help visually impaired individuals detect obstacles and navigate safely.
Read more:
https://circuitdigest.com/microcontroller-projects/how-to-build-a-smart-blind-stick-using-arduino-nano-and-ultrasonic-sensor
How to Control Servo Motor using ArduinoCircuitDigest
Learn how to interface a servo motor with Arduino for precise motion control. This guide covers wiring, coding, and real-world applications like robotics and automation. A great starting point for electronics enthusiasts.
How to use L298N Motor Driver with Arduino?CircuitDigest
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How to Build a Maze Solving Robot Using ArduinoCircuitDigest
Learn how to make an Arduino-powered robot that can navigate mazes on its own using IR sensors and "Hand on the wall" algorithm.
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How to Build a Speed Sensor using Arduino?CircuitDigest
Learn how to measure speed using IR sensors in this simple DIY project. This tutorial cover circuit diagram, Sensor calibration and speed calculations and optimized Arduino code for real time speed measurements.
Check out this interesting tutorial on building an ESP32-CAM surveillance car!CircuitDigest
Explore how to build a surveillance car using the ESP32-CAM module. This video tutorial demonstrates step-by-step instructions for creating a wireless camera-equipped vehicle.
How to build an Arduino fire-fighting robot?CircuitDigest
Discover how to create a robot that can handle fire emergencies using Arduino and sensors.
Full Tutorial - https://circuitdigest.com/microcontroller-projects/arduino-fire-fighting-robot-code
How to select the right battery charging IC for your projects?CircuitDigest
Whether you're designing a new gadget or upgrading an existing device, this guide covers all the essentials for selecting the ideal battery charging IC.
https://components101.com/articles/how-to-select-the-right-battery-charging-ic
Here's how to troubleshoot SIM800L and the basics.CircuitDigest
Troubleshooting issues when integrating the SIM800L module with an Arduino Uno. Check out this complete tutorial - https://circuitdigest.com/microcontroller-projects/interfacing-sim800l-with-arduino-troubleshooting-common-problems
Learn How to Make your own Affordable Drone with this Easy Guide.CircuitDigest
In this project, we are going to make a drone that can be easily controlled using our phones. This DIY drone is small in size and can be built using easily available components such as ESP32 modules, MPU6050 IMU, coreless motors, and plastic propellers.
Tutorial: https://circuitdigest.com/microcontroller-projects/DIY-wifi-controlled-drone
Build a POV display that goes beyond simple texts and shapes.CircuitDigest
We're creating a POV display capable of showing images and animations at a resolution of 128 pixels.
Check out this Complete Tutorial - https://circuitdigest.com/microcontroller-projects/diy-pov-display-using-ESP32-Arduino
Types of Soldering Iron Tips and How to Select the Right One?CircuitDigest
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The Most Common Battery Types We use in our everyday lifeCircuitDigest
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Sorting Order and Stability in Sorting.
Concept of Internal and External Sorting.
Bubble Sort,
Insertion Sort,
Selection Sort,
Quick Sort and
Merge Sort,
Radix Sort, and
Shell Sort,
External Sorting, Time complexity analysis of Sorting Algorithms.
Raish Khanji GTU 8th sem Internship Report.pdfRaishKhanji
This report details the practical experiences gained during an internship at Indo German Tool
Room, Ahmedabad. The internship provided hands-on training in various manufacturing technologies, encompassing both conventional and advanced techniques. Significant emphasis was placed on machining processes, including operation and fundamental
understanding of lathe and milling machines. Furthermore, the internship incorporated
modern welding technology, notably through the application of an Augmented Reality (AR)
simulator, offering a safe and effective environment for skill development. Exposure to
industrial automation was achieved through practical exercises in Programmable Logic Controllers (PLCs) using Siemens TIA software and direct operation of industrial robots
utilizing teach pendants. The principles and practical aspects of Computer Numerical Control
(CNC) technology were also explored. Complementing these manufacturing processes, the
internship included extensive application of SolidWorks software for design and modeling tasks. This comprehensive practical training has provided a foundational understanding of
key aspects of modern manufacturing and design, enhancing the technical proficiency and readiness for future engineering endeavors.
ADVXAI IN MALWARE ANALYSIS FRAMEWORK: BALANCING EXPLAINABILITY WITH SECURITYijscai
With the increased use of Artificial Intelligence (AI) in malware analysis there is also an increased need to
understand the decisions models make when identifying malicious artifacts. Explainable AI (XAI) becomes
the answer to interpreting the decision-making process that AI malware analysis models use to determine
malicious benign samples to gain trust that in a production environment, the system is able to catch
malware. With any cyber innovation brings a new set of challenges and literature soon came out about XAI
as a new attack vector. Adversarial XAI (AdvXAI) is a relatively new concept but with AI applications in
many sectors, it is crucial to quickly respond to the attack surface that it creates. This paper seeks to
conceptualize a theoretical framework focused on addressing AdvXAI in malware analysis in an effort to
balance explainability with security. Following this framework, designing a machine with an AI malware
detection and analysis model will ensure that it can effectively analyze malware, explain how it came to its
decision, and be built securely to avoid adversarial attacks and manipulations. The framework focuses on
choosing malware datasets to train the model, choosing the AI model, choosing an XAI technique,
implementing AdvXAI defensive measures, and continually evaluating the model. This framework will
significantly contribute to automated malware detection and XAI efforts allowing for secure systems that
are resilient to adversarial attacks.
Concept of Problem Solving, Introduction to Algorithms, Characteristics of Algorithms, Introduction to Data Structure, Data Structure Classification (Linear and Non-linear, Static and Dynamic, Persistent and Ephemeral data structures), Time complexity and Space complexity, Asymptotic Notation - The Big-O, Omega and Theta notation, Algorithmic upper bounds, lower bounds, Best, Worst and Average case analysis of an Algorithm, Abstract Data Types (ADT)
Analysis of reinforced concrete deep beam is based on simplified approximate method due to the complexity of the exact analysis. The complexity is due to a number of parameters affecting its response. To evaluate some of this parameters, finite element study of the structural behavior of the reinforced self-compacting concrete deep beam was carried out using Abaqus finite element modeling tool. The model was validated against experimental data from the literature. The parametric effects of varied concrete compressive strength, vertical web reinforcement ratio and horizontal web reinforcement ratio on the beam were tested on eight (8) different specimens under four points loads. The results of the validation work showed good agreement with the experimental studies. The parametric study revealed that the concrete compressive strength most significantly influenced the specimens’ response with the average of 41.1% and 49 % increment in the diagonal cracking and ultimate load respectively due to doubling of concrete compressive strength. Although the increase in horizontal web reinforcement ratio from 0.31 % to 0.63 % lead to average of 6.24 % increment on the diagonal cracking load, it does not influence the ultimate strength and the load-deflection response of the beams. Similar variation in vertical web reinforcement ratio leads to an average of 2.4 % and 15 % increment in cracking and ultimate load respectively with no appreciable effect on the load-deflection response.
We introduce the Gaussian process (GP) modeling module developed within the UQLab software framework. The novel design of the GP-module aims at providing seamless integration of GP modeling into any uncertainty quantification workflow, as well as a standalone surrogate modeling tool. We first briefly present the key mathematical tools on the basis of GP modeling (a.k.a. Kriging), as well as the associated theoretical and computational framework. We then provide an extensive overview of the available features of the software and demonstrate its flexibility and user-friendliness. Finally, we showcase the usage and the performance of the software on several applications borrowed from different fields of engineering. These include a basic surrogate of a well-known analytical benchmark function; a hierarchical Kriging example applied to wind turbine aero-servo-elastic simulations and a more complex geotechnical example that requires a non-stationary, user-defined correlation function. The GP-module, like the rest of the scientific code that is shipped with UQLab, is open source (BSD license).
"Boiler Feed Pump (BFP): Working, Applications, Advantages, and Limitations E...Infopitaara
A Boiler Feed Pump (BFP) is a critical component in thermal power plants. It supplies high-pressure water (feedwater) to the boiler, ensuring continuous steam generation.
⚙️ How a Boiler Feed Pump Works
Water Collection:
Feedwater is collected from the deaerator or feedwater tank.
Pressurization:
The pump increases water pressure using multiple impellers/stages in centrifugal types.
Discharge to Boiler:
Pressurized water is then supplied to the boiler drum or economizer section, depending on design.
🌀 Types of Boiler Feed Pumps
Centrifugal Pumps (most common):
Multistage for higher pressure.
Used in large thermal power stations.
Positive Displacement Pumps (less common):
For smaller or specific applications.
Precise flow control but less efficient for large volumes.
🛠️ Key Operations and Controls
Recirculation Line: Protects the pump from overheating at low flow.
Throttle Valve: Regulates flow based on boiler demand.
Control System: Often automated via DCS/PLC for variable load conditions.
Sealing & Cooling Systems: Prevent leakage and maintain pump health.
⚠️ Common BFP Issues
Cavitation due to low NPSH (Net Positive Suction Head).
Seal or bearing failure.
Overheating from improper flow or recirculation.
Lidar for Autonomous Driving, LiDAR Mapping for Driverless Cars.pptxRishavKumar530754
LiDAR-Based System for Autonomous Cars
Autonomous Driving with LiDAR Tech
LiDAR Integration in Self-Driving Cars
Self-Driving Vehicles Using LiDAR
LiDAR Mapping for Driverless Cars
☁️ GDG Cloud Munich: Build With AI Workshop - Introduction to Vertex AI! ☁️
Join us for an exciting #BuildWithAi workshop on the 28th of April, 2025 at the Google Office in Munich!
Dive into the world of AI with our "Introduction to Vertex AI" session, presented by Google Cloud expert Randy Gupta.
Passenger car unit (PCU) of a vehicle type depends on vehicular characteristics, stream characteristics, roadway characteristics, environmental factors, climate conditions and control conditions. Keeping in view various factors affecting PCU, a model was developed taking a volume to capacity ratio and percentage share of particular vehicle type as independent parameters. A microscopic traffic simulation model VISSIM has been used in present study for generating traffic flow data which some time very difficult to obtain from field survey. A comparison study was carried out with the purpose of verifying when the adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and multiple linear regression (MLR) models are appropriate for prediction of PCUs of different vehicle types. From the results observed that ANFIS model estimates were closer to the corresponding simulated PCU values compared to MLR and ANN models. It is concluded that the ANFIS model showed greater potential in predicting PCUs from v/c ratio and proportional share for all type of vehicles whereas MLR and ANN models did not perform well.
2. The nRF24L01 is a low-cost, 2.4GHz
transceiver module used for wireless
data communication.
It communicates over the SPI protocol
and is suitable for short-range
communication.
This project demonstrates wireless data
transfer between two Arduino Uno
boards using nRF24L01 modules.
Real-time temperature and humidity
data from a DHT11 sensor is sent and
displayed on an OLED screen.
Introduction to nRF24L01
and Arduino Uno
4. Understanding the
nRF24L01 Module
Operates at 2.4GHz with selectable
channels and data rates up to 2 Mbps.
Requires 3.3V power; adapter board
recommended.
Communicates via SPI: CE, CSN, SCK, MOSI,
MISO.
Ideal for low-power, high-speed
communication in IoT projects.
Transmission range up to 100 meters (line
of sight).
5. Wiring and Circuit
Connections
Transmitter (Sensor Side):
DHT11 connected to Arduino digital
pin.
nRF24L01 module connected via
adapter:
CE → D9, CSN → D10, MOSI → D11,
MISO → D12, SCK → D13.
Power: 3.3V to adapter (not directly to
nRF24L01).
Receiver (Display Side):
OLED (I2C) to A4 (SDA) and A5 (SCL).
nRF24L01 connected same as above.
6. Code
Implementation
and Working
Transmitter Code:
Uses DHT library to read sensor data.
RF24 library sends data to a defined address.
Sends temperature and humidity every second.
Receiver Code:
Constantly listens for incoming RF24 packets.
Displays received data on OLED in real time.
How It Works:
Transmitter reads from DHT11 and sends via
nRF24L01.
Receiver gets the data wirelessly and shows it on
the OLED screen.
8. For a more in-depth tutorial:
https://circuitdigest.com/microcontroll
er-projects/interfacing-nRF24L01-with-
arduino-uno
www.circuitdigest.com
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