In recent years, Electric Vehicles (EVs) have revolutionized the automobile industry. Nowadays, EVs are the preferred means of transportation for people because they are easy to drive, convenient, and make less noise....
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. Howeve...
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Integrated sensing and communication (ISAC) is a promising technique to increase spectral efficiency and support various emerging applications by sharing the spectrum and hardware between these functionalities. However, the traditional ISAC schemes are highly dependent on the accurate mathematical model and suffer from the challenges of high complexity and poor performance in practical scenarios. Recently, artificial intelligence (AI) has emerged as a viable technique to address these issues due to its powerful learning capabilities, satisfactory generalization capability, fast inference speed, and high adaptability for dynamic environments, facilitating a system design shift from model-driven to data-driven. Intelligent ISAC, which integrates AI into ISAC, has been a hot topic that has attracted many researchers to investigate. In this paper, we provide a comprehensive overview of intelligent ISAC, including its motivation, typical applications, recent trends, and challenges. In particular, we first introduce the basic principle of ISAC, followed by its key techniques. Then, an overview of AI and a comparison between model-based and AI-based methods for ISAC are provided. Furthermore, the typical applications of AI in ISAC and the recent trends for AI-enabled ISAC are reviewed. Finally, the future research issues and challenges of intelligent ISAC are discussed.
The globally devastating consequence of COVID-19 or Severe Acute Respiratory Syndrome-Coronavirus (SARS-CoV-2) has posed immense threat to the life of living beings. Doctors and scientists throughout the world are wor...
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In this manuscript, the reactive power control ancillary services are procured in a thermal-wind-solar deregulated system with renewable energy generation uncertainties. This procurement is devised as a dynamic bi-obj...
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The emerging and existing light field displays are highly capable of realistic presentation of 3D scenes on auto-stereoscopic glasses-free platforms. However, the large size of light field data presents a significant ...
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In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise loo...
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In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise looked for in the field of fault *** has now turned out to be essential to diagnose faults at their very inception;as unscheduled machine downtime can upset deadlines and cause heavy financial *** this paper,fault diagnosis and speed control of permanent magnet synchronous motor(PMSM)is *** Neural Network(ENN)is used to diagnose the fault of permanent magnet synchronous *** the fault location and fault severity are *** this,eccentricity fault may occur in the *** control the speed of the permanent magnet synchronous motor,Dolphin Swarm Optimization(DSO)algorithm is *** proposed work is simulated by using MATLAB in terms of amplitude,speed and *** comparison graph of speed *** obtained by the proposed method gives better result compared to the other existing *** proposed work is also compared with Particle Swarm Optimization(PSO)and Elephant Herding Optimization(EHO)*** proposed usage of Elman Neural Network to detect the fault and the usage of Dolphin Swarm Optimization algorithm to control the speed of the permanent magnet synchronous motor gives better outcome.
In recent years, Internet of Things (IoT) has played a significant impact in transforming agricultural domain by virtue of which the concept of Smart Agriculture (SA) has emerged. This concept has helped in revolution...
In recent years, Internet of Things (IoT) has played a significant impact in transforming agricultural domain by virtue of which the concept of Smart Agriculture (SA) has emerged. This concept has helped in revolutionizing agricultural practices by automating, analyzing, and computing of various agricultural parameters. There is no denying in the fact that food demand has increased at an unprecedented pace due to accelerated population growth all over the world. Therefore, it is imperative to harness emerging technology like IoT in agriculture sector to ensure sustainable food production. In order to understand the significant role of IoT in agriculture, a comprehensive literature review has been performed based on the framed research questions. Various research articles have been identified using the inclusion exclusion criteria from renowned electronic databases. Research articles were categorized on the basis of six different phases of agriculture's life cycle, i. e., soil properties and sowing, irrigation and fertilization, growth and monitoring of plants, crop protection from various diseases and weeds, harvesting, and stubble management. In addition, some of the most prominent research articles published over the past few years in IoT domain have been discussed to understand the pragmatic approach of this term. Also various web portals and mobile applications catering the agricultural domain have been presented within the study. On the basis of extensive literature review, research gaps have been identified and objectives have been framed. To achieve the framed objectives a framework namely, Minimal Distribution of Water \& Fertilization based Decision Support System MDW&FbDSS has been proposed. The framework consists of two different hardware devices, i. e., Libelium's Waspmote Plug and Sense device and NPK sensor mounted over Arduino Uno. Using first hardware device, dataset was collected on three different crops namely, Rice (paddy), Wheat, and Capsicum on
The Internet of Everything(IoE)based cloud computing is one of the most prominent areas in the digital big data *** approach allows efficient infrastructure to store and access big real-time data and smart IoE service...
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The Internet of Everything(IoE)based cloud computing is one of the most prominent areas in the digital big data *** approach allows efficient infrastructure to store and access big real-time data and smart IoE services from the *** IoE-based cloud computing services are located at remote locations without the control of the data *** data owners mostly depend on the untrusted Cloud Service Provider(CSP)and do not know the implemented security *** lack of knowledge about security capabilities and control over data raises several security *** Acid(DNA)computing is a biological concept that can improve the security of IoE big *** IoE big data security scheme consists of the Station-to-Station Key Agreement Protocol(StS KAP)and Feistel cipher *** paper proposed a DNA-based cryptographic scheme and access control model(DNACDS)to solve IoE big data security and access *** experimental results illustrated that DNACDS performs better than other DNA-based security *** theoretical security analysis of the DNACDS shows better resistance capabilities.
The procedure of registering a property involves paying stamp duty, and registering the sales deed for the property you have purchased. Property registration is done at the office of the sub-registrar who has jurisdic...
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Over the last few decades, emerging technologies (such as Big Data Analytics, Cloud Computing, Software Defined Networks, etc.) necessitated a paradigm shift from a traditional centralized communication infrastructure...
Over the last few decades, emerging technologies (such as Big Data Analytics, Cloud Computing, Software Defined Networks, etc.) necessitated a paradigm shift from a traditional centralized communication infrastructure to decentralized one. In such a setup, billions of Internetenabled devices are interconnected in an environment popularly known as Internet-of-Things (IoT). the number of such interconnections reduces the computational overhead and complexity by distributing the workload among geo-located nodes. However, it may generate various types of security threats and challenges due to the usage of an open channel i. e., the Internet. The security threats such as denial-of-service, eavesdropping, man-in-the-middle, etc. are dependent on authorization, authentication, and accountability (AAA) methods used in the IoT environment. Extensible authentication protocol (EAP) is one of the popular authentication protocols used to mitigate these attacks in an IoT environment. Also, the transport layer security (TLS) and secure socket layer (SSL) are necessary protocols used along EAP for establishing a secure communication channel between various smart devices in this environment. However, the aforementioned schemes are built using a centralized architecture or heavily rely on central decision-making authority, raising issues of a single point of failure and long delay. From the above discussion, it is clear that security and privacy are the major concerns for the successful implementation of any solution in such an environment. Moreover, the evolution of technologies as mentioned above make it difficult to capitalize the existing centralized security mechanism to handle the diverse requirements of geo-dispersed ecosystems (edge computing, smart grid, intelligent transportation systems, etc.) To overcome these issues, blockchain technology is being used that provides identity privacy and transaction security using a decentralized and dependable architecture. It is a peer-
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