This document describes an IOT-based smart LPG gas detector robot control system using an Android app. The system uses an Arduino microcontroller connected to an LPG gas sensor, buzzer, LCD display, and GSM module. When the sensor detects a gas leak, it sends a signal to the Arduino which activates the buzzer and displays a warning on the LCD. The GSM module then sends an SMS alert to authorized individuals. The system is designed to detect leaks in industrial and residential gas pipelines in order to prevent explosions and save lives and property. It aims to reduce accidents from flammable gas leaks using real-time monitoring and alerts.
IoT Based Automatic Gas, Smoke and Fire Alert Systemijtsrd
The goal of this system is to build an IoT based automatic gas, smoke and fire alert system via Node MCU. We use a Node MCU, sensors, a microcontroller system, and a few more electronic devices in the current endeavor. This endeavor has easy to use gas, smoke and fire detection. When people are outside of industries, residences, or marketplaces, they are not automatically informed about sudden events caused by fire, gas, or smoke. Not even fire departments receive the information instantly. People suffer greatly as a result, and most of the time, fire nearly destroys residences, companies, and marketplaces. However, our system may be able to help by automatically alerting concerned people to the presence of smoke, gas and fire. As a result, people will be able to arrive at the location swiftly and act promptly. For the system to obtain the data from the fire, gas and smoke sensors, a microcontroller needs to be installed to control every device involved in this work. Wi Fi shield functions a way to connect devices with the network. This system uses an Android app to retrieve the sensors data. This experiment analyses the rooms performance in various fire, gas, and smoke conditions as well as burning objects. The researchers found that when smoke concentrations rise above 100 parts per million, people may get fatal heart attacks, coughing fits, and stinging eyes. However, when the smoke content hits 40 parts per million, our system will automatically send out an alert message. With the help of our technology, we hope that individuals will be able to save their lives and property. Md. Abdur Rahim | Md. Sanjidur Rahman | Rafat Ara "IoT Based Automatic Gas, Smoke and Fire Alert System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63446.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/63446/iot-based-automatic-gas-smoke-and-fire-alert-system/md-abdur-rahim
Gas leakage has been a major concern in recent times. Though its usage has been extended in various industries, a small
unattended leakage can lead to catastrophic damage. The objective of this project is to present the design of a automatic
alarming system, which can detect and prevent liquefied petroleum gas leakage in various premises. This system alerts the user
by sending him an phone call and alerting the neighbors by buzzer alarm after the gas leaks above setpoint1.The servo motor
is used to close the gas pipe valves. This device ensures safety and prevents suffocation and explosion due to gas leakage. This project is implemented using arduino uno and simulated using Arduino ide and proteus software.
IoT Based Automatic Gas, Smoke and Fire Alert Systemijtsrd
The goal of this system is to build an IoT based automatic gas, smoke and fire alert system via Node MCU. We use a Node MCU, sensors, a microcontroller system, and a few more electronic devices in the current endeavor. This endeavor has easy to use gas, smoke and fire detection. When people are outside of industries, residences, or marketplaces, they are not automatically informed about sudden events caused by fire, gas, or smoke. Not even fire departments receive the information instantly. People suffer greatly as a result, and most of the time, fire nearly destroys residences, companies, and marketplaces. However, our system may be able to help by automatically alerting concerned people to the presence of smoke, gas and fire. As a result, people will be able to arrive at the location swiftly and act promptly. For the system to obtain the data from the fire, gas and smoke sensors, a microcontroller needs to be installed to control every device involved in this work. Wi Fi shield functions a way to connect devices with the network. This system uses an Android app to retrieve the sensors data. This experiment analyses the rooms performance in various fire, gas, and smoke conditions as well as burning objects. The researchers found that when smoke concentrations rise above 100 parts per million, people may get fatal heart attacks, coughing fits, and stinging eyes. However, when the smoke content hits 40 parts per million, our system will automatically send out an alert message. With the help of our technology, we hope that individuals will be able to save their lives and property. Md. Abdur Rahim | Md. Sanjidur Rahman | Rafat Ara "IoT Based Automatic Gas, Smoke and Fire Alert System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63446.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/63446/iot-based-automatic-gas-smoke-and-fire-alert-system/md-abdur-rahim
Gas leakage has been a major concern in recent times. Though its usage has been extended in various industries, a small
unattended leakage can lead to catastrophic damage. The objective of this project is to present the design of a automatic
alarming system, which can detect and prevent liquefied petroleum gas leakage in various premises. This system alerts the user
by sending him an phone call and alerting the neighbors by buzzer alarm after the gas leaks above setpoint1.The servo motor
is used to close the gas pipe valves. This device ensures safety and prevents suffocation and explosion due to gas leakage. This project is implemented using arduino uno and simulated using Arduino ide and proteus software.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
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Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.