In order to enhance the durability of the battery and optimize the efficiency of energy utilization, this study delves into the problem of energy loss in new energy vehicles during driving. The focus is on the develop...
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作者:
Petkar, Taniya
Faculty of Engineering and Technology Department of Computer Science And Medical Engineering Maharashtra Wardha442001 India
This paper presents a novel line-of-control (LoC) monitoring system that leverages the Internet of Things (IoT) to improve border security. The system creates a strong infrastructure for real-time monitoring throughou...
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The Density-Based Traffic Signal control System (DB-TSCS) is an innovative approach to manage traffic flow at intersections. Incorporating advanced sensor technologies and intelligent algorithms, the system adjusts th...
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This overview aims to provide a comprehensive insight into the manufacturing, design, and selection of LED drivers, highlighting the significance of LEDs in lighting technology. Compared to traditional light sources l...
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In modern avionics system Testing and Verification are very important criteria. With the advantage of Field Programmable Gate Array (FPGA), power sub systems are more intelligent with advance features. Advance power s...
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The autonomous anti-sway control of the ship-mounted crane systems is a tough issue due to the under-actuated characteristic, strong coupling and base excitation. Furthermore, the ship-mounted crane systems are also s...
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ISBN:
(纸本)9789819770007;9789819770014
The autonomous anti-sway control of the ship-mounted crane systems is a tough issue due to the under-actuated characteristic, strong coupling and base excitation. Furthermore, the ship-mounted crane systems are also suffering from unknown dynamics and frictions etc. In some conditions, the ship-mounted cranes may exhibit spherical pendulum effects. These factors make the control problem even more challenging. To solve the above problems, this paper designed a Radical Basis Function Neural Network (RBFNN) based feedback control method for a 5-DOF ship-mounted rotary crane. Specially, the adaptive RBFNN is established to approximate the unknown dynamics online. After that, eschewing any simplification of the dynamic model, a feedback anti-sway control is designed to ensure the cargo could reach to desired position and dampening the payload spherical swing simultaneously. The closed-loop stability is analyzed and the effectiveness of the control method is validated via simulation experiment results.
As healthcare technology develops, fog computing has been viewed as a paradigm-shifting technology that extends cloud-based services to network edges. The Paper presents a software-based framework intended to maximize...
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In industrial IoT, the design of control algorithms is pivotal to industrial servo systems. Unlike existing work, we study the industrial servo system control through edge computing with semi-closed-loop feedbacks, hi...
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The proceedings contain 260 papers. The topics discussed include: a critical study on hybrid computing and its current influences and future challenges;daily updates on construction sites progress using artificial int...
ISBN:
(纸本)9798331515911
The proceedings contain 260 papers. The topics discussed include: a critical study on hybrid computing and its current influences and future challenges;daily updates on construction sites progress using artificial intelligence;green energy for smart cities: a review of research trends;smart ventilator for affordable health monitoring system;quantum dot-enhanced sodium-air batteries for unprecedented energy storage performance;intelligent question generator system using natural language processing;hybrid product recommendation system using popularity based and content-based filtering;high performance closed-loop control of a phase shifted full bridge converter for electric vehicle application;smart impact mitigation: intelligent speed and safety;face recognition attendance framework using quantum edge processing;and empowering communication: emergency hand recognition for the differently abled.
In the cloud computing environment, existing research has mostly focused on improving traditional scheduling algorithms, lacking effective strategies for dealing with dynamic loads and complex workflows, resulting in ...
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