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An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures

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Computers, Materials & Continua 2022年第7期72卷 1373-1389页

作者： Chandrashekhar Meshram Agbotiname Lucky Imoize Sajjad Shaukat jamal.Parkash Tambare Adel R.Alharbi Iqtadar Hussain Department of Post Graduate Studies and Research in Mathematics Jayawanti Haksar Government Post-Graduation CollegeCollege of Chhindwara UniversityBetul460001M.P.India Department of Electrical and Electronics Engineering Faculty of EngineeringUniversity of LagosAkokaLagos100213Nigeria Department of Electrical Engineering and Information Technology Institute of Digital CommunicationRuhr University44801BochumGermany Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Water Resources&Applied Mathematics Research Lab Nagpur440027India College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar

The Human-Centered Internet of Things(HC-IoT)is fast becoming a hotbed of security and privacy *** users can establish a common session key through a trusted server over an open communication channel using a three-party authenticated key *** of the early authenticated key agreement systems relied on pairing,hashing,or modular exponentiation processes that are computationally intensive and *** order to address this problem,this paper offers a new three-party authenticated key agreement technique based on fractional chaotic *** new scheme uses fractional chaotic maps and supports the dynamic sensing of HC-IoT devices in the network architecture without a password *** projected security scheme utilized a hash function,which works well for the resource-limited HC-IoT *** results show that our new technique is resistant to password guessing attacks since it does not use a ***,our approach provides users with comprehensive privacy protection,ensuring that a user forgery attack causes no ***,our new technique offers better security features than the techniques currently available in the literature.

关键词： Three-party authenticated key agreement anonymity fractional chaotic maps Chebyshev polynomial password table human-centered internet of things(HC-IoT)

Total versus quantum correlations in a two-mode Gaussian state

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Communications in Theoretical Physics 2021年第5期73卷 38-45页

作者： jamal.EI Qars Department of Physics Faculty of Applied SciencesAit-MelloulIbn Zohr UniversityAgadirMorocco EPTHE Department of PhysicsFaculty of SciencesIbn Zohr UniversityAgadirMorocco LPHE-MS Department of PhysicsFaculty of SciencesMohammed V UniversityRabatMorocco

In Li and Luo(2007 ***.A 76032327),the inequality(1/2)T≥Q was identified as a fundamental postulate for a consistent theory of quantum versus classical correlations for arbitrary measures of total T and quantum Q correlations in bipartite quantum ***,Hayden et al(2006 ***.26595)have conjectured that,in some conditions within systems endowed with infinite-dimensional Hilbert spaces,quantum correlations may dominate not only half of total correlations but total correlations ***,in a two-mode Gaussian state,quantifying T and Q respectively by the quantum mutual information I~G and the entanglement of formation(EoF)ε_(F)^(G),we verify thatε_(F)^(G),is always less than(1/2)I_(R)^(G( when I~G andε_(F)^(G) are defined via the Rényi-2 *** via the von Neumann entropy,ε_(F,V)^(G),may even dominate I_(V)^(G) itself,which partly consolidates the Hayden conjecture,and partly,provides strong evidence hinting that the origin of this counterintuitive behavior should intrinsically be related to the von Neumann entropy by which the EoFε_(F,V)^(G),is defined,rather than related to the conceptual definition of the EoFε_(F).The obtained results show that—in the special case of mixed two-mode Gaussian states—quantum entanglement can be faithfully quantified by the Gaussian Rényi-2 EoFε_(F,R)^(G),.

关键词： entanglement von Neumann and Rényi-2 entropies quantum mutual information Gaussian states spontaneous emission laser

MEMS and MOEMS Gyroscopes: A Review

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Photonic Sensors 2023年第4期13卷 73-98页

作者： Wenyi HUANG Xing YAN Sengyu ZHANG Zhe LI jamal.NAHASSAN Dingwei CHEN Guangjun WEN Kai CHEN Guangwei DENG Yongjun HUANG School of Information and Communication Engineering Sichuan Provincial Engineering Research Center of Communication Technology for Intelligent IoTUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China

Micro-gyroscopes using micro-electro-mechanical system(MEMS)and micro-optoelectro-mechanical system(MOEMS)are the new-generation and recently well-developed gyroscopes produced by the combinations of the traditional gyroscope technology and MEMS/MOEMS *** to the working principle and used materials,the newly-reported micro-gyroscopes in recent years include the silicon-based micromechanical vibratory gyroscope,hemispherical resonant gyroscope,piezoelectric vibratory gyroscope,suspended rotor gyroscope,microfluidic gyroscope,optical gyroscope,and atomic *** to different sensitive structures,the silicon-based micromechanical vibratory gyroscope can also be divided into double frame type,tuning fork type,vibrating ring type,and nested ring *** those micro-gyroscopes,in recent years,many emerging techniques are proposed and developed to enhance different aspects of performances,such as the sensitivity,angle random walk(ARW),bias instability(BI),and ***,this paper will firstly review the main performances and applications of those newly-developed MEMS/MOEMS gyroscopes,then comprehensively summarize and analyze the latest research progress of the micro-gyroscopes mentioned above,and finally discuss the future development trends of MEMS/MOEMS gyroscopes.

关键词： Micro-gyroscope MEMS MOEMS angular random walk bias instability

Technical and technological constraints facing Tanzania leather value chain:a snapshot of intervention measures

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Journal of Leather Science and Engineering 2022年第1期4卷 287-298页

作者： Cecilia Rolence China Rahel Elibariki jamal.Msami Stephen Mwombela Lugano Wilson Tanzania Industrial Research and Development Organization P.O.Box 23235Dar es SalaamTanzania REPOA 157 Mgombani Street Regent EstateP.O.Box 33223Dar es SalaamTanzania

The leather value chain starts with livestock, the key source of hides and skins, and the main raw materials for the industry. Despite having the second-largest livestock population in Africa, Tanzania is only the 11th largest exporter of leather on the continent, underlining the disproportionate contribution of the sector to the economy. This study presents the results of a recent assessment aimed at identifying performance bottlenecks in Tanzania’s leather sector. The assessment took place in October-December 2020 and involved 10 tanneries, 30 leather goods factories and 11 service providers/institutions. Findings reveal that 90% of tanneries are dissatisfied with the quality of hides and skins due to brand marks, flay cuts, skin diseases, and inadequate curing. These supply chain bottlenecks are further compounded by skill deficiencies among processors, poor waste management, and limited awareness about laws, policies and regulations governing trade in the sector. At the downstream end of the value chain, the trade in leather and related articles is facing competition from high importation of low-grade products like plastic shoes and second- hand products. This paper recommends that efforts to increase leather’s economic and trade value need to focus on upgrading Tanzania’s production, processing, branding and marketing capacities.

关键词： Leather value chain Hides and skins Constraints Interventions

Characterizing and monitoring global landscapes using GlobeLand30 datasets:the first decade of the twenty-first century

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International Journal of Digital Earth 2019年第6期12卷 642-660页

作者： jamal.Jokar Arsanjani Geoinformatics Research Group Department of Planning and DevelopmentAalborg University CopenhagenCopenhagenDenmark

Global land cover maps are important sources of information for a wide range of studies including land change analysis and climate change *** the global land cover maps attempt to present a consistent and homogenous data in terms of the production process,the existing datasets offer coarse resolution data,e.g.1000 m for IGBP DISCover and 300 m for GlobeCover 2009 that is oftentimes ***,GlobeLand30 data based on Landsat archive for two timestamps of 2000 and 2010 has been *** presents a finer spatial resolution of 30 m,which provides numerous opportunities for a wide range of *** main objective of this study is to use this dataset for characterizing global land cover patterns,monitoring,and identifying extreme land change cases with their types and *** findings reveal massive land change patterns including deforestation,desertification,shrinkage of water bodies,and urbanization across the *** results and discussions of this research can help policy-makers,environmental planners,ecosystem services providers and climate change researchers to gain finer insights about the forms of global land *** research calls for further investigation of the underlying causes of the massive changes and their consequences on our ecosystems and human populations.

关键词： Globeland30 historical land change global land cover maps urbanization deforestation water bodies’shrinkage desertification

Classification of Citrus Plant Diseases Using Deep Transfer Learning

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Computers, Materials & Continua 2022年第1期70卷 1401-1417页

作者： Muhammad Zia Ur Rehman Fawad Ahmed Muhammad Attique Khan Usman Tariq Sajjad Shaukat jamal.Jawad Ahmad Iqtadar Hussain Department of Electrical Engineering HITEC UniversityTaxilaPakistan Department of Computer Science HITEC UniversityTaxilaPakistan College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz UniversityAl-KhrajSaudi Arabia Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia School of Computing Edinburgh Napier UniversityUK Department of Mathematics Statisticsand PhysicsQatar UniversityDoha2713Qatar

In recent years,the field of deep learning has played an important role towards automatic detection and classification of diseases in vegetables and *** in turn has helped in improving the quality and production of vegetables and *** fruits arewell known for their taste and nutritional *** are one of the natural and well known sources of vitamin C and planted *** are several diseases which severely affect the quality and yield of citrus *** this paper,a new deep learning based technique is proposed for citrus disease *** different pre-trained deep learning models have been used in this *** increase the size of the citrus dataset used in this paper,image augmentation techniques are ***,to improve the visual quality of images,hybrid contrast stretching has been *** addition,transfer learning is used to retrain the pre-trainedmodels and the feature set is enriched by using feature *** fused feature set is optimized using a meta-heuristic algorithm,the Whale Optimization Algorithm(WOA).The selected features are used for the classification of six different diseases of citrus *** proposed technique attains a classification accuracy of 95.7%with superior results when compared with recent techniques.

关键词： Citrus plant disease classification deep learning feature fusion deep transfer learning

Novel in-capsule synthesis of metal-organic framework for innovative carbon dioxide capture system

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Green Energy & Environment 2023年第3期8卷 767-774页

作者： Wei Yu Ming Gao Guanhe Rim Tony G.Feric Mark L.Rivers Ammar Alahmed Aqil jamal.Ah-Hyung Alissa Park State Key Laboratory of Clean Energy Utilization Zhejiang UniversityHangzhou310027China Lenfest Center for Sustainable Energy The Earth InstituteColumbia University918 S.W.Mudd HallMail Code 4711500 W 120th St.New YorkNY10027USA Department of Earth and Environmental Engineering 918 S.W.Mudd HallMail Code 4711500 W 120th St.New YorkNY10027USA Department of Chemical Engineering Columbia UniversityNew YorkNY10027USA University of Chicago ChicagoIL60637USA Research and Development Center Saudi AramcoDhahran31311Saudi Arabia

Metal-Organic Frameworks(MOFs)have been developed as solid sorbents for CO_(2) capture applications and their properties can be controlled by tuning the chemical blocks of their crystalline units.A number of MOFs(e.g.,HKUST-1)have been developed but the question remains how to deploy them for gas-solid ***,the direct use of MOFs as nanocrystals would lead to serious problems and ***,for the first time,we report a novel MOF-based hybrid sorbent that is produced via an innovative in-situ microencapsulated *** a custom-made double capillary microfluidic assembly,double emulsions of the MOF precursor solutions and UV-curable silicone shell fluid are ***,HKUST-1 MOF is successfully synthesized within the droplets enclosed in the gas permeable *** developed MOF-bearing microcapsules uniquely allow the deployment of functional nanocrystals without the challenge of handling ultrafine particles,and further,can selectively reject undesired compounds to protect encapsulated MOFs.

关键词： Encapsulation Metal-Organic Frameworks(MOFs) Carbon capture In-situ microencapsulated synthesis

Global research production pertaining to gastrointestinal involvement in COVID-19:A bibliometric and visualised study

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World Journal of Gastrointestinal Surgery 2022年第5期14卷 494-505页

作者： Sa'ed H Zyoud Samah W Al-Jabi Moyad jamal.Shahwan Ammar Abdulrahman Jairoun Department of Clinical and Community Pharmacy College of Medicine and Health SciencesAn-Najah National UniversityNablus 44839Palestine Poison Control and Drug Information Center College of Medicine and Health SciencesAn-Najah National UniversityNablus 44839Palestine Clinical Research Centre An-Najah National University HospitalNablus 44839Palestine Department of Clinical Sciences College of Pharmacy and Health SciencesAjman UniversityAjman 346United Arab Emirates Centre of Medical and Bio-allied Health Sciences Research Ajman UniversityAjman 346United Arab Emirates Department of Health and Safety Dubai MunicipalityDubai 67United Arab Emirates

BACKGROUND Coronavirus disease 2019(COVID-19)is a global pandemic that can cause diarrhoea,nausea/vomiting,and abdominal pain,among other gastrointestinal(GI)*** To perform a bibliometric analysis of the global research production pertaining to GI involvement in *** The Scopus database was used to search the global literature on GI involvement in COVID-19 during 2020.A bibliometric review of these publications was also performed using *** Scopus had published 95615 documents on COVID-19 in all areas of research at the time of data *** total,1267 publications on the topic of GI and COVID-19 were *** articles(n=606;47.83%),letters(293;23.13%),and reviews(186;14.68%)were the most popular types of *** most productive countries and institutions in this field were the United States and Huazhong University of Science and *** most cited paper was Xiao et al,which was published in Gastroenterology as a brief communication,with 798 *** paper provides evidence for GI infection of COVID-19 and its possible faecal–oral transmission *** the term cluster analysis,there were two frontiers in this field:GI manifestations among COVID-19 patients and the implications of COVID-19 for the *** GI manifestations among COVID-19 patients and implications of COVID-19 for gastroenterologists were of interest,especially in the early stages of the pandemic.

关键词： COVID-19 Gastrointestinal Symptoms Bibliometric Scopus

Learning a Deep Predictive Coding Network for a Semi-Supervised 3D-Hand Pose Estimation

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IEEE/CAA Journal of Automatica Sinica 2020年第5期7卷 1371-1379页

作者： jamal.Banzi Isack Bulugu Zhongfu Ye Sokoine University Morogoro 3000Tanzania University of Dar-es-Salaam Dar-es-Salaam 35091Tanzania Department of Electronic Engineering and Information Science University of Science and Technology of ChinaHefei 230026China IEEE

In this paper we present a CNN based approach for a real time 3 D-hand pose estimation from the depth *** discriminative approaches have achieved remarkable success but are facing two main challenges:Firstly,the methods are fully supervised hence require large numbers of annotated training data to extract the dynamic information from a hand ***,unreliable hand detectors based on strong assumptions or a weak detector which often fail in several situations like complex environment and multiple *** contrast to these methods,this paper presents an approach that can be considered as semi-supervised by performing predictive coding of image sequences of hand poses in order to capture latent features underlying a given image without *** hand is modelled using a novel latent tree dependency model(LDTM)which transforms internal joint location to an explicit *** the modeled hand topology is integrated with the pose estimator using data dependent method to jointly learn latent variables of the posterior pose appearance and the pose configuration ***,an unsupervised error term which is a part of the recurrent architecture ensures smooth estimations of the final *** on three challenging public datasets,ICVL,MSRA,and NYU demonstrate the significant performance of the proposed method which is comparable or better than state-of-the-art approaches.

关键词： Convolutional neural networks deep learning hand pose estimation human-machine interaction predictive coding recurrent neural networks unsupervised learning