The integration of advanced deep learning models, such as YOLOv5 and YOLOv8, into carrot cultivation significantly enhances post-harvest sorting systems, allowing for the effective differentiation between healthy and ...
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The foundry industry, a cornerstone of manufacturing, has undergone significant transformations due to the integration of automation technologies. This survey paper examines the evolution of automation in foundries, e...
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This paper presents the implementation and comparative study of Model Predictive control (MPC) and Sliding Mode control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate pre...
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ISBN:
(数字)9798331525439
ISBN:
(纸本)9798331525446
This paper presents the implementation and comparative study of Model Predictive control (MPC) and Sliding Mode control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.
The Internet of Things (IoT) has disrupted home automation with device integration, real-time control, and better user comfort. Scalability, connection, and usability limitations plague traditional GSM-based home auto...
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ISBN:
(数字)9798331525439
ISBN:
(纸本)9798331525446
The Internet of Things (IoT) has disrupted home automation with device integration, real-time control, and better user comfort. Scalability, connection, and usability limitations plague traditional GSM-based home automation systems. IoT allows smartphones, tablets, and other smart devices to control electrical equipment remotely, ensuring energy efficiency, convenience, and security. IoT-based automation uses communication protocols, cloud computing, and sensors for intelligent functionality and real-time feedback. Modern smart home ecosystems are more flexible, scalable, and interoperable with IoT platforms like Zigbee, Wi-Fi, and MQTT than GSM-based systems. This study creates an IoT-based home automation system using microcontrollers, sensors, and IoT cloud platforms for smart homes that is cost-effective, user-friendly, and sustainable. This study shows how IoT is transforming home automation and can produce more sustainable, intelligent homes than conventional systems. As they evolve, IoT technologies could make home automation more efficient, safe, and user-friendly, enabling a more intelligent and connected future.
Supported by the latest information and communication technology, the industrial Internet can provide various services for enterprises, break the information barriers between enterprises in the industrial chain, and t...
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The integration of quantum communication principles with 5G technology presents a groundbreaking approach to addressing the growing demand for high-speed, secure, and resilient communication systems. This paper propos...
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The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injectio...
The proceedings contain 78 papers. The topics discussed include: dynamic modeling and numerical calculation of a hydraulic actuated flexible knuckle boom crane;control-oriented gray-box modeling for thermoset injection molding;empirical modeling of unsteady bulging in continuous slab casters;computationally efficient optimal control problem formulation illustrated by automotive applications;modelling of an underground electric vehicle cycle for battery sizing analysis using Modelica;physics-informed sparse gaussian processes for model predictive control in building energy systems;application of recurrent neural networks for predictive modeling of electrical submersible pumps in oil extraction;and digital twin for autonomous decision-making in gas lift operations: improving reliability and adaptability.
For a hub motor distributed drive electric vehicle (DDEV) with unmanned driving in complex environments, a multi-agent coordinated differential steering control strategy is proposed. Using a modular approach, an indep...
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The realization of train-to-train (T2T) communication in 5G-R systems can effectively reduce the communication delay of trains and improve the safety and efficiency of train operation, but in this communication proces...
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The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryp...
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