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Deep Learning Approach for Hand Gesture Recognition:Applications in Deaf Communication and Healthcare

Computers, Materials & Continua 2024年第1期78卷 127-144页

作者： Khursheed Aurangzeb khalid javeed Musaed Alhussein Imad Rida Syed Irtaza Haider Anubha Parashar Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France Department of Computer Science and Engineering Manipal University JaipurJaipur303007India

Hand gestures have been used as a significant mode of communication since the advent of human *** facilitating human-computer interaction(HCI),hand gesture recognition(HGRoc)technology is crucial for seamless and error-free *** technology is pivotal in healthcare and communication for the deaf *** significant advancements in computer vision-based gesture recognition for language understanding,two considerable challenges persist in this field:(a)limited and common gestures are considered,(b)processing multiple channels of information across a network takes huge computational time during discriminative feature ***,a novel hand vision-based convolutional neural network(CNN)model named(HVCNNM)offers several benefits,notably enhanced accuracy,robustness to variations,real-time performance,reduced channels,and ***,these models can be optimized for real-time performance,learn from large amounts of data,and are scalable to handle complex recognition tasks for efficient human-computer *** proposed model was evaluated on two challenging datasets,namely the Massey University Dataset(MUD)and the American Sign Language(ASL)Alphabet Dataset(ASLAD).On the MUD and ASLAD datasets,HVCNNM achieved a score of 99.23% and 99.00%,*** results demonstrate the effectiveness of CNN as a promising HGRoc *** findings suggest that the proposed model have potential roles in applications such as sign language recognition,human-computer interaction,and robotics.

关键词： Computer vision deep learning gait recognition sign language recognition machine learning

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A Machine Learning-Based Attack Detection and Prevention System in Vehicular Named Data Networking

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Computers, Materials & Continua 2023年第11期77卷 1445-1465页

作者： Arif Hussain Magsi Ali Ghulam Saifullah Memon khalid javeed Musaed Alhussein Imad Rida State Key Laboratory of Networking and Switching Technology Beijing University of Post and TelecommunicationBeijing100876China Information Technology Center Sindh Agriculture UniversityTandojam70050Pakistan Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirate Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Laboratory Biomechanics and Bioengineering University of Technology of CompiegneCompiegne60200France

Named Data Networking(NDN)is gaining a significant attention in Vehicular Ad-hoc Networks(VANET)due to its in-network content caching,name-based routing,and mobility-supporting ***,existing NDN faces three significant challenges,including security,privacy,and *** particular,security attacks,such as Content Poisoning Attacks(CPA),can jeopardize legitimate vehicles with malicious *** instance,attacker host vehicles can serve consumers with invalid information,which has dire consequences,including road *** such a situation,trust in the content-providing vehicles brings a new *** the other hand,ensuring privacy and preventing unauthorized access in vehicular(VNDN)is another ***,NDN’s pull-based content retrieval mechanism is inefficient for delivering emergency messages in *** this connection,our contribution is *** existing rule-based reputation evaluation,we propose a Machine Learning(ML)-based reputation evaluation mechanism that identifies CPA attackers and legitimate *** on ML evaluation results,vehicles accept or discard served ***,we exploit a decentralized blockchain system to ensure vehicles’privacy by maintaining their information in a secure digital ***,we improve the default routing mechanism of VNDN from pull to a push-based content dissemination using Publish-Subscribe(Pub-Sub)*** implemented and evaluated our ML-based classification model on a publicly accessible BurST-Asutralian dataset for Misbehavior Detection(BurST-ADMA).We used five(05)hybrid ML classifiers,including Logistic Regression,Decision Tree,K-Nearest Neighbors,Random Forest,and Gaussian Naive *** qualitative results indicate that Random Forest has achieved the highest average accuracy rate of 100%.Our proposed research offers the most accurate solution to detect CPA in VNDN for safe,secure,and reliable vehicle communication.

关键词： Named data networking vehicular networks reputation caching machine-learning

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An Enhanced Intelligent Intrusion Detection System to Secure E-Commerce Communication Systems

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Computer Systems Science & Engineering 2023年第11期47卷 2513-2528页

作者： Adil Hussain Kashif Naseer Qureshi khalid javeed Musaed Alhussein Department of Transportation Engineering Chang’an UniversityXi’anChina Department of Electronic&Computer Engineering University of LimerickLimerickV94 T9PXIreland Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjahUnited Arab Emirates Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Kingdom of Saudi Arabia

Information and communication technologies are spreading rapidly due to their fast proliferation in many *** number of Internet users has led to a spike in cyber-attack incidents.E-commerce applications,such as online banking,marketing,trading,and other online businesses,play an integral role in our *** Intrusion Detection System(NIDS)is essential to protect the network from unauthorized access and against other *** existing NIDS systems are based on the Backward Oracle Matching(BOM)algorithm,which minimizes the false alarm rate and causes of high packet drop *** paper discussed the existing NIDS systems and different used pattern-matching techniques regarding their weaknesses and *** address the existing system issues,this paper proposes an enhanced version of the BOM algorithm by using multiple pattern-matching methods for the NIDS system to improve the network *** proposed solution is tested in simulation with existing solutions using the Snort and NSL-KDD *** experimental results indicated that the proposed solution performed better than the existing solutions and achieved a 5.17%detection rate and a 0.22%lower false alarm rate than the existing solution.

关键词： E-commerce NIDS security algorithm network applications CIA detection

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A Network Traffic Classification Model Based on Metric Learning

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Computers, Materials & Continua 2020年第8期64卷 941-959页

作者： Mo Chen Xiaojuan Wang Mingshu He Lei Jin khalid javeed Xiaojun Wang Beijing University of Posts and Telecommunications Beijing100876China Department of Computer Engineering Bahria UniversityIslamabadPakistan School of Electronic Engineering Dublin City UniversityDublinIreland

Attacks on websites and network servers are among the most critical threats in network *** behavior identification is one of the most effective ways to identify malicious network *** abnormal network traffic patterns and traffic classification based on labeled network traffic data are among the most effective approaches for network behavior *** methods for network traffic classification utilize algorithms such as Naive Bayes,Decision Tree and ***,network traffic classification,which is required for network behavior identification,generally suffers from the problem of low accuracy even with the recently proposed deep learning *** improve network traffic classification accuracy thus improving network intrusion detection rate,this paper proposes a new network traffic classification model,called ArcMargin,which incorporates metric learning into a convolutional neural network(CNN)to make the CNN model more *** maps network traffic samples from the same category more closely while samples from different categories are mapped as far apart as *** metric learning regularization feature is called additive angular margin loss,and it is embedded in the object function of traditional CNN *** proposed ArcMargin model is validated with three datasets and is compared with several other related *** to a set of classification indicators,the ArcMargin model is proofed to have better performances in both network traffic classification tasks and open-set ***,in open-set tasks,the ArcMargin model can cluster unknown data classes that do not exist in the previous training dataset.

关键词： Metric learning ArcMargin network traffic classification CNNs

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Secure Video Streaming with Lightweight Cipher PRESENT in an SDN Testbed

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Computers, Materials & Continua 2018年第12期57卷 353-363页

作者： Pengcheng Liu Xiaojun Wang S.R.Chaudhry khalid javeed Yue Ma Martin Collier School of Electrical and Computer Engineering Dublin City UniversityDublinIreland. Department of Computer Engineering Bahria UniversityIslamabadPakistan School of Computer Science Beijing University of Posts and TelecommunicationsBeijing100876China

The combination of traditional processors and Field Programmable Gate Arrays(FPGA)is shaping the future networking platform for intensive computation in resource-constrained networks and *** networks present two key challenges of security and resource *** ciphers are suitable to provide data security in such constrained *** the lightweight PRESENT encryption algorithm in a reconfigurable platform(FPGAs)can offer secure communication service and *** paper presents hardware acceleration of security primitives in SDN using *** implement an efficient design of the PRESENT algorithm for faster,smaller and lower power consumption hardware circuit using *** evaluate the performance of the hardware and software implementations of *** results prove that the proposed hardware design is a viable option for use in resource constrained devices in future networks and their applications.

关键词： Lightweight cipher netFPGA openFlow RESENT encryption

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Termites Improve the Horizontal Movement of Carbonized Particles:A Step towards Sustainable Utilization of Biochar

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Phyton-International Journal of Experimental Botany 2022年第10期91卷 2235-2248页

作者： Mazhar Ali Nasir Masood Hafiz Muhammad Rashad javeed Ibrahim Al-Ashkar khalid F.Almutairi Liyun Liu Muhammad Aqeel Sarwar Karthika Rajendran Ayman EL Sabagh Department of Environmental Sciences COMSATS University IslamabadVehari CampusVehari61100Pakistan Department of Plant Production College of Food and AgricultureKing Saud UniversityRiyadh11451Saudi Arabia Graduate School of Integrated Sciences for Life Hiroshima UniversityHiroshima739-8528Japan Crop Sciences Institute National Agricultural Research CentreIslamabad44000Pakistan VIT School of Agricultural Innovations and Advanced Learning(VAIAL) Vellore Institute of Technology(VIT)Vellore632014India Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafr El-Shaikh33516Egypt

Soil amendments containing carbonized materials increase the soil carbon reservoir,influence plant productivity,and,ultimately,help to clean the *** is data on the effect of such additions on soil physicochemical properties or plant growth,but few studies have focused on how these carbonized materials are distributed by termite species in the soil *** is the first comprehensive study of the transportation of biochar(BC)by termite species under tropical environmental conditions in *** present study was carried out to test the hypothesis that if termite species I)were involved in the distribution of biochar particles II)if yes,then how far these particles were transported during the study period(10 days)and III)check their preference between the enriched BC(EBC)and non-enriched *** was enriched with the cattle slurry after its pyrolysis in the *** results showed that EBC particles were significantly more widely distributed than non-enriched BC particles,but both types of BC were transported more than 4 cm(ring 4)within 10 days(at the end of the experiment).The current study also revealed that EBC was easily attached to the setae,cuticle,and legs of termites,implying that it could potentially be transported over a greater ***,transportation of EBC over larger distances indicated a potential preference of termite species between the EBC and BC *** the study,however,the preference among the termite species was also *** the prevailing study conditions,the Coptotermes heimi and Heteroterme indicola species transported the EBC further than Microtermes obesi and Odontotermes *** findings revealed that transportation preferences were observed among the four termite *** conclusion,the current study found that termites were involved in the distribution of BC particles,with a preference for EBC and that these have the potential to transport BC particles more than 4 cm within 10 da

关键词： Enriched biochar termite species distribution micro-particles feeding stations soil productivity

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Diagnosis and Recommendation Integrated System Assessment of the Nutrients Limiting and Nutritional Status of Tomato

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Phyton-International Journal of Experimental Botany 2022年第12期91卷 2759-2774页

作者： Rabia Manzoor Mohammad Saleem Akhtar khalid Saifullah Khan Taqi Raza Muhammad Ishaq Asif Rehmani Carl Rosen Muhammad Khalil ur Rehman Nahla Zidan Fahad MAlzuaibr Nisreen MAbdulsalam Najla AKhateeb Majid Alhomrani Abdulhakeem SAlamri javeed Ahmad Lone Muhammad Ammar Raza Ayman El Sabagh Institute of Soil and Environmental Sciences Pir Mehr Ali Shah Arid Agriculture University RawalpindiRawalpindi46300Pakistan Department of Biosystems Engineering&Soil Science University of TennesseeKnoxville37996USA Department of Agronomy Ghazi UniversityDera Ghazi Khan32200Pakistan Department of Soil Waterand ClimateUniversity of MinnesotaSant Paul55108USA Department of Horticultural Sciences The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Nutrition and Food Science Faculty of Home EconomicsUniversity of TabukTabuk71491Saudi Arabia Department of Biology Faculty of ScienceUniversity of TabukTabuk71491Saudi Arabia Department of Food and Nutrition Faculty of Human Sciences and DesignKing Abdul Aziz UniversityJeddah21551Saudi Arabia Clinical Nutrition Department College of Applied Medical SciencesKing Saud bin Abdulaziz University for Health SciencesJeddah211423Saudi Arabia Department of Clinical Laboratories Sciences The Faculty of Applied Medical SciencesTaif UniversityTaif21944Saudi Arabia Centre of Biomedical Sciences Research(CBSR) Deanship of Scientific ResearchTaif UniversityTaif21944Saudi Arabia Mountain Research Centre for Field Crops Sher-e-Kashmir University of Agricultural Sciences and TechnologySrinagar190025India College of Food Science and Biotechnology Key Laboratory of Fruits and VegetablesZhejiang Gongshang UniversityHangzhou310018China Department of Agronomy Faculty of AgricultureKafrelsheikh UniversityKafrelsheikh33156Egypt

Tomato is an important field crop,and nutritional imbalances frequently reduce its *** and Recommendation Integrated System(DRIS),uses ratios for nutrient deficiency diagnosis instead of absolute concentration in plant *** this study,local DRIS norms for the field tomatoes were established and the nutrient(s)limiting tomatoes yield were *** leaves were analyzed for nutrients,to identify nutritional status using the DRIS *** hundred tomatoes fields were selected from Chatter Plain Khyber Pakhtunkhwa and the Sheikupura Punjab *** first fully matured leaf was sampled,rinsed,dried and ground for analyzing P,K,Ca,Mg,Cu,Fe,Mn and Zn using an Inductively Coupled Plasma Atomic Emission Spectrophotometer(ICP AES).Plant tissue N and S were measured by the combustion *** tomatoes yields were recorded at each *** data were divided into high-yielding(≥3.79 kg/10 plant)and low-yielding(<3.79 kg/10 plant)populations and norms were computed using standard DRIS ***-yielding plant population had a statistically greater mean S and Fe than the low-yielding *** average balance index,the sum of functions,for S and Fe were−11.04 and−5.17 which reflected deficiency of S and *** nutrients norms established may optimize plant nutrition in field tomatoes for high yield.

关键词： DRIS macro and micro nutrients nutrients norms plant population tomato production

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