Music recommendation system has high demand in the modern world, and these types of systems recommend music according to music genres. the music combines lyrics and beautiful sounds, and lyrics can be in any language....
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Predictive maintenance (PdM) has gained increasing importance in modern industries due to its ability to anticipate equipment failures and extend asset life. By leveraging machine learning (ML) techniques, PdM systems...
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Vehicular network enabled vehicle health, safety and monitoring system is gaining attention for its potential application while software defined network (SDN) is supporting vehicular communication for designing core o...
Vehicular network enabled vehicle health, safety and monitoring system is gaining attention for its potential application while software defined network (SDN) is supporting vehicular communication for designing core of the network. Vehicular network emits enormous amount of data where most of them are sensor data and that amount of data required to undergo analyzed for productive output. there are two types of sensor data are used in vehicular network, vehicle sensor data (VSD) and infrastructure sensor data (ISD). Flow based SDN controller examines every packet of the network which is responsible of engagement of resources gravely. For vehicular health monitoring and safety applications, SDN doesn't required to check and analyze ISD. In this paper, a framework is proposed that promises to ignore ISD and only consider VSD for vehicle health, safety and monitoring applications. Withthis connections, this paper proposes big data module along with SDN controller and inside the big data module, a partitioner program is designed. the partitioner program categorize VSD and ISD on the basis of certain parameters like data payload, technology used, packet header and restrict RSD to be processed by SDN controller. A combiner program is designed that bind both VSD and ISD to fed to the application plane of system. Additionally, a big data analytics for vehicle health, safety and monitoring application is derived.
this paper presents an innovative technique for designing a compact L-band and S-band microstrip low-pass filter (LPF) utilizing cascaded resonators with doubly inductive compensated coupled lines. the proposed design...
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this research survey presents a comprehensive analysis of IoT architectures that incorporate edge computing, examining their classifications, applications, and the challenges and limitations associated withtheir impl...
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software applications are increasingly built to take advantage of heterogeneous architectures as specialised hardware accelerators take centre stage in today's computing environment. Tensor processing units (TPUs)...
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Withthe wide application of biometrics and the development of multi-mode fusion, how to obtain more accurate recognition technology by combining multiple characteristic information needs to be solved. Based on the fi...
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Tamil Handwritten Text Recognition is the process of identifying and transcribing handwritten Tamil characters into machine-encoded text. Due to variations in the style, stroke, and shape of characters, identifying ha...
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the evolution of information technology and the tendency of more functionality-centralized controllers has made it possible to schedule tasks with different criticality within the same computing platform on automotive...
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this research study introduces an innovative Vehicle-to-Everything (V2X) communication system utilizing Ethereum blockchain and Solidity smart contracts. the proposed approach transcends conventional vehicular communi...
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