In this work a frequency selective resonator (FSS) immersed dual band, rectangular slot array has been presented. Two squared shaped ring frequency selective surfaces are interested on sides of travelling slots to obt...
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作者:
Nirmala, P.
Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India
In the absence of a permanent infrastructure, the networks are utilized for temporary events, military operations, and disaster recovery. A Blockchain-Enabled Intelligent Vehicle communication Systems: Trust Bit Rewar...
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ISBN:
(纸本)9798331509675
In the absence of a permanent infrastructure, the networks are utilized for temporary events, military operations, and disaster recovery. A Blockchain-Enabled Intelligent Vehicle communication Systems: Trust Bit Rewards and Clustering for Autonomous Vehicles (BIVC-CA), an algorithm designed to ensure secure communication between devices and optimize efficient routing in intelligent vehicle systems, is also used to provide quick emergency response. Using blockchain, each vehicle is given its own Bit Trust ID to track its past data and calculate its trust levels. This system ensures transparency and trust between vehicles through cryptographic processes such as key generation, secure message encryption, and message verification, which improve overall communication security. It also includes an Emergency Vehicle communication System (EUC) that uses OBU devices and sensors to detect collisions and send GSM-based rescue messages, greatly improving road safety and the efficiency of emergency operations. The road-based clustering model optimizes route selection considering traffic conditions and distances and organizes vehicles into clusters to ensure effective communication and coordination. Using the path distance algorithm, clustering is achieved by computing the similarity of routes and grouping accordingly for efficient route management with minimal network congestion. In addition, the model introduces a comprehensive network architecture that integrates vehicle cloud technology and blockchain technology, enabling intelligent vehicles to make quick decisions based on real-time data. With these integrated components, the BIVC-CA model provides a reliable framework for secure data transmission, intelligent routing, and rapid emergency response. This framework will ultimately improve the efficiency of intelligent vehicle systems and contribute to the development of advanced vehicle networks and smarter transportation solutions. We calculated the results with routing expe
Medical Internet of Things (M-IoT) synchronizes medical devices in a network to provide smart healthcare monitoring to doctors and to provide an interactive model for patients. This embedded networked system gained lo...
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Agricultural seeds constitute the basic inputs and raw materials that lead to increased crop yields and sustained growth in agricultural production. They are a major source of protein and vitamins for human consumptio...
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This paper presents a coplanar waveguide-fed wheel-shaped monopole antenna and its four-port multiple output multiple input (MIMO) antenna for super wideband (SWB) applications. The monopole antenna consists of a whee...
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The grape cultivation industry in India faces significant challenges from fungal pests and diseases, leading to substantial economic losses. Detecting leaf diseases in grape plants at an early stage is crucial to prev...
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Abstract: In this work, a single active element (Extra-X Current Controlled Conveyor) with grounded capacitor is used to design a reconfigurable first-order universal filter (CFUF). By simply swapping the digital cont...
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The early detection of brain tumors presents significant challenges due to the complexity of the brain as well as the need for noninvasive diagnostic tools. This study introduces a novel antenna design optimized for n...
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Camera-based object tracking systems in a given closed environment lack privacy and *** this study,light detection and ranging(LiDAR)was applied to track objects similar to the camera tracking in a closed environment,...
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Camera-based object tracking systems in a given closed environment lack privacy and *** this study,light detection and ranging(LiDAR)was applied to track objects similar to the camera tracking in a closed environment,guaranteeing privacy and *** primary objective was to demonstrate the efficacy of the proposed technique through carefully designed experiments conducted using two *** Scenario I,the study illustrates the capability of the proposed technique to detect the locations of multiple objects positioned on a flat surface,achieved by analyzing LiDAR data collected from several locations within the closed *** II demonstrates the effectiveness of the proposed technique in detecting multiple objects using LiDAR data obtained from a single,fixed ***-time experiments are conducted with human subjects navigating predefined *** individuals move within an environment,while LiDAR,fixed at the center,dynamically tracks and identifies their locations at multiple *** demonstrate that a single,strategically positioned LiDAR can adeptly detect objects in motion around ***,this study provides a comparison of various regression techniques for predicting bounding box *** process regression(GPR),combined with particle swarm optimization(PSO)for prediction,achieves the lowest prediction mean square error of all the regression techniques examined at *** tuning of GPR using PSO significantly minimizes the regression *** of the experiment pave the way for its extension to various real-time applications such as crowd management in malls,surveillance systems,and various Internet of Things scenarios.
The identification and classification of brain tumors from medical images is a challenging task, which plays a crucial role in treatment planning. In recent times, the transformer models earned greater attention in im...
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