Resource provisioning is the method of making sure that the cloud service can be efficiently resourced to the customers as demand increases. Resource provisioning is the procedure of selecting, deploying, and managing...
详细信息
Medical research relies heavily on image processing tools, especially when it comes to early cancer diagnosis. The application of Gaussian rules and Gabor filters emphasizes image quality and improves photographs. The...
详细信息
The challenge of identifying fake news through text classification has been met with extensive experimentation to find the best mix of preprocessing techniques and algorithms. Despite efforts, an effective fake news d...
详细信息
Accurate and efficient multi-object localization and categorization is one of the key needs for applications of robotic vision, intelligent military surveillance systems, security, and ADAS. It is a significant and co...
详细信息
In the densification of Device-to-Device(D2D)-enabled Social Internet of Things(SIoT)networks,improper allocation of resources can lead to high interference,increased signaling overhead,latency,and disruption of Chann...
详细信息
In the densification of Device-to-Device(D2D)-enabled Social Internet of Things(SIoT)networks,improper allocation of resources can lead to high interference,increased signaling overhead,latency,and disruption of Channel State Information(CSI).In this paper,we formulate the problem of sum throughput maximization as a Mixed Integer Non-Linear Programming(MINLP)*** problem is solved in two stages:a tripartite graph-based resource allocation stage and a time-scale optimization *** proposed approach prioritizes maintaining Quality of Service(QoS)and resource allocation to minimize power consumption while maximizing sum *** results demonstrate the superiority of the proposed algorithm over standard benchmark *** of the proposed algorithm using performance parameters such as sum throughput shows improvements ranging from 17%to 93%.Additionally,the average time to deliver resources to CSI users is minimized by 60.83%through optimal power *** approach ensures QoS requirements are met,reduces system signaling overhead,and significantly increases D2D sum throughput compared to the state-of-the-art *** proposed methodology may be well-suited to address the challenges SIoT applications,such as home automation and higher education systems.
The human race has developed various automobiles for faster transportation from one place to another place. But these automobiles are the main cause of human loss in the current trend. Various reasons cause these acci...
详细信息
Robots have emerged as versatile tools with significant potential to enhance teaching and learning environments, including classrooms, laboratories, play homes, crèches, and even at home. Their engaging nature ca...
详细信息
A mobile ad hoc network (MANET) is an independent wireless temporary network established by employing a set of mobile nodes (i.e. laptops, smartphones, iPods, etc.) appropriate for the environment in which the network...
详细信息
A mobile ad hoc network (MANET) is an independent wireless temporary network established by employing a set of mobile nodes (i.e. laptops, smartphones, iPods, etc.) appropriate for the environment in which the network infrastructures are not fixed. The most common problems faced by MANET are energy efficiency, high energy consumption, low network lifetime as well as high traffic overhead which create an impact on overall network topology. Hence, it is necessary to provide an energy-effective CH election to take steps against such issues. Therefore, this paper proposes a novel model to enhance the network lifetime and energy efficiency by performing a routing strategy in MANET. In this paper, an optimal CH is selected by proposing a novel Fuzzy Marine White Shark optimization (FMWSO) algorithm which is obtained by integrating fuzzy operation with two optimization algorithms namely the marine predator algorithm and white shark optimizer. The proposed approach comprises three diverse stages namely Generation of data, Cluster Generation and CH selection. A novel FMWSO algorithm is proposed in such a way to determine the CH selection in MANET thereby enhancing the network topology, network lifetime and minimizing the overhead rate, and energy consumption. Finally, the performance of the proposed FMWSO approach is compared with various other existing techniques to determine the effectiveness of the system. The proposed FMWSO approach consumes minimum energy of 0.62 mJ which is lower than other approaches.
Current Drug Supply Chain (DSC) includes numerous independent participants with assorted interests. Today, DSC is confronted by several serious challenges related to shipping, special storage, traceability, and expira...
详细信息
ISBN:
(纸本)9798350367904
Current Drug Supply Chain (DSC) includes numerous independent participants with assorted interests. Today, DSC is confronted by several serious challenges related to shipping, special storage, traceability, and expiration, as well as ensuring sustainable access and availability of essential medicines. Furthermore, the number of counterfeit drugs has increased radically, causing thousands of individuals to be affected by poisoning and medical negligence. To address these issues, this research develops an effective track and trace model, calledLotTrace which leverages the Internet of Things (IoT), Blockchain technology (BCT) and Non-Interchangeable Tokens (NITs) to trace drug lots from manufacturing process to consumption. NIT is a distinctive digital identifier of physical and virtual assets logged on a BCT to attest to proprietorship and legitimacy. LotTrace uses smart contracts and Hyperledger technology for dependable and effective traceability of pharmaceutical products. The lot details are updated across the chain, and erstwhile information is continuously logged in the ledger blocks. It instigates traceability by allocating inimitable identifiers to drug lots and logs incidents and signposts, providing an end-to-end traceability that allows partakers to authenticatethe genuineness and provenance of the drug products. LotTrace mints virtual tokens to digitize the metadata such as the certifications, present owner, current location, environmental conditions of a drug lot. After gathering these essential data from the drug manufacturer, metadata will be included based on shipping environmental conditions to mint Dynamic NIT (dNIT). This information is recorded in the BitTorrent File System (BTFS) to build a real-world storage infrastructure. Ratified stakeholders can access this information using the smart contracts. This work creates an NIT smart contract on the ERC1155 standard using the Remix Integrated Development Environment (IDE). LotTrace exploits BTFS to s
The inception of the 'Cricket Team Selection and Player Analysis using Data Analytics' project arose from the imperative to introduce precision through data-driven methods in the process of selecting cricket t...
详细信息
暂无评论