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Smart Quarantine Environment Privacy through IoT Gadgets Using Blockchain

Intelligent Automation & Soft Computing 2023年第3期35卷 3021-3036页

作者： Nitish Pathak sham. tabrez siddiqui Anjani Kumar Singha Heba G Mohamed Shabana Urooj Abhinandan R Patil Department of Information Technology Bhagwan Parshuram Institute of Technology(BPIT)GGSIPUNew Delhi110078India Department of Computer Science Jazan UniversityJazan45142Saudi Arabia Department of Computer Science Aligarh Muslim UniversityAligarh202002India Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP O Box 84428Riyadh11671Saudi Arabia Sanjay Ghodawat University KolhapurMaharashtra416118India

The coronavirus,formerly known as COVID-19,has caused massive global *** a precaution,most governments imposed quarantine periods ranging from months to years and postponed signiﬁcantﬁnancial ***,governments around the world have used cutting-edge technologies to track citizens’*** of sensors were connected to IoT(Internet of Things)devices to monitor the catastrophic eruption with billions of connected devices that use these novel tools and apps,privacy and security issues regarding data transmission and memory space *** this study,we suggest a block-chain-based methodology for safeguarding data in the billions of devices and sen-sors connected over the *** trial secrecy and safety qualities are based on cutting-edge *** evaluate the proposed model,we recom-mend using an application of the system,a Raspberry Pi single-board computer in an IoT system,a laptop,a computer,cell phones and the Ethereum smart contract *** models ability to ensure safety,effectiveness and a suitable budget is proved by the Gowalla dataset results.

关键词： Ring signature blockchain IoT encryption smart contract decryption authentication privacy-preserving

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Computer Vision-Control-Based CNN-PID for Mobile Robot

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Computers, Materials & Continua 2021年第7期68卷 1065-1079页

作者： Rihem Farkh Mohammad tabrez Quasim Khaled Al jaloud Saad Alhuwaimel sham. tabrez siddiqui College of Engineering Muzahimiyah BranchKing Saud UniversityP.O.Box 2454Riyadh11451Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia King Abdulaziz City for Science and Technology Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyJazan UniversityJazanSaudi Arabia Department of Electrical Engineering Laboratory for AnalysisConception and Control of SystemsLR-11-ES20National Engineering School of TunisTunis El Manar UniversityTunisTunisia

With the development of artificial intelligence technology,various sectors of industry have *** them,the autonomous vehicle industry has developed considerably,and research on self-driving control systems using artificial intelligence has been extensively *** on the use of image-based deep learning to monitor autonomous driving systems have recently been *** this paper,we propose an advanced control for a serving robot.A serving robot acts as an autonomous line-follower vehicle that can detect and follow the line drawn on the floor and move in specified *** robot should be able to follow the trajectory with speed *** controllers were used simultaneously to achieve *** neural networks(CNNs)are used for target tracking and trajectory prediction,and a proportional-integral-derivative controller is designed for automatic steering and speed *** study makes use of a Raspberry PI,which is responsible for controlling the robot car and performing inference using CNN,based on its current image input.

关键词： Autonomous car pid control deep learning convolutional neural network differential drive system raspberry pi

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Angiogenic peptide hydrogels for treatment of traumatic brain injury

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Bioactive Materials 2020年第1期5卷 124-132页

作者： Xiaotang Ma Agnieszka Agas Zain siddiqui KaKyung Kim Patricia Iglesias-Montoro Jagathi Kalluru Vivek Kumar James Haorah Department of Biomedical Engineering Center for Injury Bio-MechanicsMaterials and MedicineNew Jersey Institute of TechnologyNewarkNJ07102USA Department of Chemical and Materials Engineering New Jersey Institute of TechnologyNewarkNJ07102USA Department of Restorative Dentistry Rutgers School of Dental MedicineNewarkNJUSA

Traumatic brain injury(TBI)impacts over 3.17 million *** of hemorrhage and coagulation caused by vascular disruption after TBI is critical for the recovery of *** pathologies play an important role in the underlying mechanisms of *** objective of this study is to evaluate a novel regenerative medicine for the injured tissue after brain *** utilized a recently described synthetic growth factor with angiogenic potential to facilitate vascular growth in situ at the injury *** work has shown how this injectable self-assembling peptide-based hydrogel(SAPH)creates a regenerative microenvironment for neovascularization at the injury *** assembly allows for thixotropy;the injectable drug delivery system provides sustained in vivo *** this study,a moderate blunt injury model was used to cause physical vascular damage and *** angiogenic SAPH was then applied directly on the injured rat *** day 7 post-TBI,significantly more blood vessels were observed than the sham.and injury control group,as well as activation of VEGF-receptor 2,demonstrating the robust angiogenic response elicited by the angiogenic *** markers von-Willebrand factor(vWF)andα-smooth muscle actin(α-SMA)showed a concomitant increase with blood vessel density in response to the angiogenic ***,blood brain barrier integrity and blood coagulation were also examined as the parameters to indicate wound recovery post *** rescue examination by NeuN and myelin basic protein staining showed that the angiogenic SAPH may provide and neuroprotective benefit in the long-term recovery.

关键词： Traumatic brain injury Cerebrovascular injury Regenerative medicine Angiogenesis Self-assembling peptide hydrogels

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