This abstract describes a control system for a 3 horsepower (3hp) alternating current (AC) motor that operates in both forward and reverse directions with a delay of 2 seconds using two limit switches. The system is designed to ensure the safety of the motor and surrounding equipment by introducing a delay before the motor changes direction, and by using two limit switches to control the direction of the motor. When the motor runs in the forward direction and the first limit (...) switch is triggered, the motor is stopped for a period of 2 seconds before it changes direction to reverse. When the motor runs in the reverse direction and the second limit switch is triggered, the motor is stopped for a period of 2 seconds before it changes direction to forward. The control system uses a motor controller to regulate the motor's speed and direction, and two limit switches to control the motor's direction and ensure its safe operation. This system is suitable for use in industry. When the motor runs in the forward direction and the limit switch is triggered, the motor is stopped for a period of 5 seconds before it changes direction to reverse. The control system uses a motor controller to regulate the motor's speed and direction, and a limit switch to trigger the reversal of the motor. The system is designed to ensure the safety of the motor and surrounding equipment by stopping the motor before reversing its direction, and by introducing a delay to allow the motor to come to a complete stop. (shrink)

Air pollution is a significant environmental concern that affects human health, ecosystems, and climate change. Effective monitoring and management of outdoor air quality are crucial for mitigating its adverse effects. This paper presents an advanced approach to outdoor pollution measurement utilizing Internet of Things (IoT) technology, combined with optimization techniques to enhance system efficiency and data accuracy. The proposed framework integrates a network of IoT sensors that continuously monitor various air pollutants, such as particulate matter (PM), carbon monoxide (CO), sulfur (...) dioxide (SO₂), nitrogen dioxide (NO₂), and ozone (O₃), across different geographic locations. The data collected by these sensors are transmitted to a centralized system where optimization algorithms, such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Simulated Annealing (SA), are applied to optimize sensor placement, data transmission, and processing efficiency. This ensures accurate, real-time pollution monitoring and data analysis, providing actionable insights for policymakers, environmental agencies, and the general public. (shrink)

Nowadays, intrusions have become a major problem faced by users. To stop these cyber attacks from happening, the development of a reliable and effective Intrusion Detection System (IDS) for cyber security has become an urgent issue to be solved. The proposed IDS model is aimed at detecting network intrusions by classifying all the packet traffic in the network as benign or malicious classes. The Canadian Institute for Cyber security Intrusion Detection System (CICIDS2017) dataset has been used to train and validate (...) the proposed model. The model has been evaluated in terms of the overall accuracy, attack detection rate, false alarm rate, and training overhead. DDOS attacks based on Canadian Institute for Cyber security Intrusion Detection System (KDD Cup 99) dataset has been used to train and validate. For validation, comparison for 2 dataset (CICIDS2017 and KDD Cup 99) is done. (shrink)