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Smart Object Detection and Home Appliances Control System in Smart Cities

Computers, Materials & Continua 2021年第4期67卷 895-915页

作者： sulaiman khan Shah Nazir Habib Ullah khan Department of Computer Science University of SwabiKPPakistan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar

During the last decade the emergence of Internet of Things(IoT)based applications inspired the world by providing state of the art solutions to many common *** traffic management systems to urban cities planning and development,IoT based home monitoring systems,and many other smart *** of these facilities,most of these IoT based solutions are data driven and results in small accuracy values for smaller *** order to address this problem,this paper presents deep learning based hybrid approach for the development of an IoT-based intelligent home security and appliance control system in the smart *** hybrid model consists of;convolution neural network and binary long short term model for the object detection to ensure safety of the homes while IoT based hardware components like;Raspberry Pi,Amazon Web services cloud,and GSM modems for remotely accessing and controlling of the home *** android application is developed and deployed on Amazon Web Services(AWS)cloud for the remote monitoring of home appliances.A GSM device and Message queuing telemetry transport(MQTT)are integrated for communicating with the connected IoT devices to ensure the online and offline *** object detection purposes a camera is connected to Raspberry Pi using the proposed hybrid neural network *** applicability of the proposed model is tested by calculating results for the object at varying distance from the camera and for different intensity levels of the *** many applications the proposed model promises for providing optimum results for the small amount of data and results in high recognition rates of 95.34%compared to the conventional recognition model(k nearest neighbours)recognition rate of 76%.

关键词： Hybrid deep learning model IoT smart cities home appliances control system and Amazon web services

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Pashto Characters Recognition Using Multi-Class Enabled Support Vector Machine

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Computers, Materials & Continua 2021年第6期67卷 2831-2844页

作者： sulaiman khan Shah Nazir Habib Ullah khan Anwar Hussain Department of Computer Science University of SwabiSwabiPakistan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar

During the last two decades signicant work has been reported in the eld of cursive language’s recognition especially,in the Arabic,the Urdu and the Persian *** unavailability of such work in the Pashto language is because of:the absence of a standard database and of signicant research work that ultimately acts as a big barrier for the research *** slight change in the Pashto characters’shape is an additional challenge for *** paper presents an efcient OCR system for the handwritten Pashto characters based on multi-class enabled support vector machine using manifold feature extraction *** feature extraction techniques include,tools such as zoning feature extractor,discrete cosine transform,discrete wavelet transform,and Gabor lters and histogram of oriented gradients.A hybrid feature map is developed by combining the manifold feature *** research work is performed by developing a medium-sized dataset of handwritten Pashto characters that encapsulate 200 handwritten samples for each 44 characters in the Pashto *** results are generated for the proposed model based on a manifold and hybrid feature *** overall accuracy rates of 63.30%,65.13%,68.55%,68.28%,67.02%and 83%are generated based on a zoning technique,HoGs,Gabor lter,DCT,DWT and hybrid feature maps *** of the proposed model is also tested by comparing its results with a convolution neural network *** convolution neural network-based model generated an accuracy rate of 81.02%smaller than the multi-class support vector *** highest accuracy rate of 83%for the multi-class SVM model based on a hybrid feature map reects the applicability of the proposed model.

关键词： Pashto multi-class support vector machine handwritten characters database zoning and histogram of oriented gradients

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Systematic Analysis of Safety and Security Risks in Smart Homes

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Computers, Materials & Continua 2021年第7期68卷 1409-1428页

作者： Habib Ullah khan Mohammad Kamel Alomari sulaiman khan Shah Nazir Asif Qumer Gill Alanoud Ali Al-Maadid Zaki Khalid Abu-Shawish Mostafa Kamal Hassan Department of Accounting and Information Systems College of Business and EconomicsQatar UniversityDohaQatar Department of Computer Science University of SwabiSwabiPakistan School of Software University of Technology SydneySydneyAustralia Department of Finance&Economics College of Business&EconomicsQatar UniversityDohaQatar

The revolution in Internet of Things(IoT)-based devices and applications has provided smart applications for *** applications range from healthcare to traffic-flow management,to communication devices,to smart security devices,and many *** particular,government and private organizations are showing significant interest in IoT-enabled applications for smart *** the perceived benefits and interest,human safety is also a key *** research is aimed at systematically analyzing the available literature on smart homes and identifying areas of concern or risk with a view to supporting the design of safe and secure smart *** this systematic review process,relevant work in the most highly regarded journals published in the period 2016–2020(a section of 2020 is included)was analyzed.A final set of 99 relevant articles(journal articles,book sections,conference papers,and survey papers)was analyzed in this *** analysis is focused on three research questions and relevant *** systematic analysis results and key insights will help researchers and practitioners to make more informed decisions when dealing with the safety and security risks of smart homes,especially in emergency situations.

关键词： Smart buildings IoT smart homes systematic literature review prototype model

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Coupled Electromagnetic-thermal Analysis of Segmented PM Consequent Pole Flux Switching Machine

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Chinese Journal of Electrical Engineering 2021年第2期7卷 50-60页

作者： Wasiq Ullah Faisal khan Muhammad Umair Erwan sulaiman Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusAbbottabad 22060Pakistan Department of Electrical Power Engineering Universiti Tun Hussein Onn MalaysiaParit Raja 86400Malaysia

Compact stator structure of flux switching machines(FSMs)encompassing both permanent magnets(PMs)and armature winding slots(AWS)attract research interest whenever high power and density are the basic ***,it also results in temperature rises owing to heat generation by electromagnetic power losses degrading the electromagnetic performance and affecting machine *** this study,a segmented permanent magnet(SPM)consequent pole FSM(SPM-CPFSM)is developed,which provides a stator cooling channel(duct)for improved heat dissipation to avoid demagnetization of PM as well as ***,this study investigates detailed electromagnetic performance analysis and prediction of temperature variation in various machine parts owing to the heat generated by iron,copper,and magnet eddy current losses utilizing coupled electromagnetic-thermal analysis accounting for magnetic flux density *** comparison with the 2D analysis,the developed 3D coupled-field analysis more accurately predicts electromagnetic performance and temperature *** reveals that a cooling duct at the stator significantly assists in stator heat dissipation in the axial direction ensuring a safe operating condition of the PMs as well as machine parts to avoid overheating.

关键词： AC machines coupled field consequent pole permanent magnet loss analysis thermal analysis

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Deep Learning-Driven Anomaly Detection for IoMT-Based Smart Healthcare Systems

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Computer Modeling in Engineering & Sciences 2024年第12期141卷 2121-2141页

作者： Attiya khan Muhammad Rizwan Ovidiu Bagdasar Abdulatif Alabdulatif sulaiman Alamro Abdullah Alnajim Department of Computer Science Kinnaird College for WomenLahore54000Pakistan School of Computing University of DerbyDerbyDE221GBUK Department of Mathematics Faculty of Exact Sciences“1 Decembrie 1918”University of Alba IuliaAlba Iulia510009Romania Department of Computer Science College of ComputerQassim UniversityBuraydah52571Saudi Arabia Department of Information Technology College of ComputerQassim UniversityBuraydah52571Saudi Arabia

The Internet of Medical Things(IoMT)is an emerging technology that combines the Internet of Things(IoT)into the healthcare sector,which brings remarkable benefits to facilitate remote patient monitoring and reduce treatment *** IoMT devices become more scalable,Smart Healthcare Systems(SHS)have become increasingly vulnerable to *** Detection Systems(IDS)play a crucial role in maintaining network *** IDS monitors systems or networks for suspicious activities or potential threats,safeguarding internal *** paper presents the development of an IDS based on deep learning techniques utilizing benchmark *** propose a multilayer perceptron-based framework for intrusion detection within the smart healthcare *** primary objective of our work is to protect smart healthcare devices and networks from malicious attacks and security *** employ the NSL-KDD and UNSW-NB15 intrusion detection datasets to evaluate our proposed security *** proposed framework achieved an accuracy of 95.0674%,surpassing that of comparable deep learning models in smart healthcare while also reducing the false positive *** results indicate the feasibility of using a multilayer perceptron,achieving superior performance against cybersecurity threats in the smart healthcare domain.

关键词： Anomaly detection deep learning Internet of Things(IoT) health care

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Torque Characteristics of High Torque Density Partitioned PM Consequent Pole Flux Switching Machines With Flux Barriers

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CES Transactions on Electrical Machines and Systems 2020年第2期4卷 130-141页

作者： Wasiq Ullah Faisal khan Erwan sulaiman Muhammad Umair Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad Campus22060Pakistan.Erwan Suliman is with Department of Electrical Power EngineeringUniversiti Tun Hussein Onn Malaysia86400 Parit RajaJohorMalaysia

Unique double salient structure of Permanent Magnet Flux Switching Machines(PMFSM)with both Concentrated Armature inding(CAW)and Permanent Magnet(PM)on stator attract researcher's interest for high speed brushless application when high torque density(T den)and power density(P den)are the primal ***,despite of stator leakage flux,high rare-earth PM usage,PMFSM is subjected to slot effects due to presence of both PM and CAW in stator and partial saturation due to double salient structure which generates cogging torque(T cog),torque ripples(Trip)and lower average torque(T avg).To overcomne aforesaid demerits,this paper presents Partitioned PM(PPM)Consequent Pole Flux Switching Machine(PPM-CPFSM)with flux barriers to enhance flux mnodulation,curtail PM usage and diminish stator leakage flux which reduces slotting effects and partial saturation to ultimately reduces T cog and Trip In comparison with the existing state of the art,proposed PPM-CPFSM reduces 46.5390 of the total PM volumne and offer Tavg higher up to 88.8%,suppress Trip naximun up to 24.8%,diminish Tcog up to 22.74%and offer 2.45 times Tden and ***,torque characteristics of proposed PPM-CPFSM is investigated utilizing space harmonics injection *** cosine,inverse cosine with 3rd harmonics and rotor pole shaping techniques i.e.,ecce ntric circle,chanfering and *** electromagnetic perfornance analysis reveals that harmonics injection suppressed Tcog maximun up to 83.5%,Trip up to 40.72%at the cost of 4.71%***,rotor mnechanical stress analysis is utilized for rotor withstand capability and 3D-FEA based Coupled Elctromagnetic Thermal Analysis(CETA)for thermal behavior of the developed PPM *** reveals that open space along PPM act as cooling duct that inprove heat dissipation.

关键词： AC Machines Consequent Pole Cogging Torque Finite element analysis Permanent Magnet Machine Torque ripples Magnetic flux leakages Harmonics Injection

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Offshore Software Maintenance Outsourcing Process Model Validation:A Case Study Approach

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Computers, Materials & Continua 2023年第3期74卷 5035-5048页

作者： Atif Ikram Masita Abdul Jalil Amir Bin Ngah Adel sulaiman Muhammad Akram Ahmad Salman khan Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala TerengganuMalaysia Department of Computer Science&Information Technology Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajranSaudi Arabia Department of Software Engineering Faculty of Information TechnologyThe University of LahoreLahore54000Pakistan

The successful execution and management of Offshore Software Maintenance Outsourcing(OSMO)can be very beneficial for OSMO vendors and the OSMO *** a lot of research on software outsourcing is going on,most of the existing literature on offshore outsourcing deals with the outsourcing of software development *** frameworks have been developed focusing on guiding software systemmanagers concerning offshore software ***,none of these studies delivered comprehensive guidelines for managing the whole process of *** is a considerable lack of research working on managing OSMO from a vendor’s ***,to find the best practices for managing an OSMO process,it is necessary to further investigate such complex and multifaceted phenomena from the vendor’s *** study validated the preliminary OSMO process model via a case study research *** results showed that the OSMO process model is applicable in an industrial setting with few *** industrial data collected during the case study enabled this paper to extend the preliminary OSMO process *** refined version of the OSMO processmodel has four major phases including(i)Project Assessment,(ii)SLA(iii)Execution,and(iv)Risk.

关键词： Offshore outsourcing process model model validation vendor challenges case study

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Photokilling of waterborne-resistant pathogenic bacteria using cobalt-doped zinc oxide doped on reduced graphene oxide nanoparticles

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Journal of Innovative Optical Health Sciences 2022年第4期15卷 1-10页

作者： Ameer Muhammad khan Laiba Pervez Jonathan Celli Mutiullah Khattak Maqdad Ullah ZiaUllah Shah Muhammad Mustafa khan Muhammad Nadeem sulaiman Faisal Akhtar Nadhman Department of Biotechnology Institute of Integrative Biosciences CECOS University Hayatabad Phase VI PeshawarPakistan Department of Physics University of Massachusetts BostonMA 02125USA Department of Microbiology Institute of Pathology and Diagnostic Medicine Khyber Medical University Hayatabad PeshawarKPPakistan Department of Pharmacy Institute of Integrative Biosciences CECOS University Hayatabad Phase VIPeshawarPakistan

This study is aimed at the chemical synthesis of light-activated cobalt-doped zinc oxide and its further doping on reduced graphene oxide(RGO)and assessment of its antibacterial activity on antibiotic-resistant waterborne pathogens including Enterococcus faecalis,Staphylococcus aureus,Klebsiella pneumonia,and Pseudomonas *** synthesized nanoparticles were characterized via UV–vis spectroscopy,scanning electron microscopy(SEM),and energy-dispersive X-ray spectroscopy(EDS).The minimal inhibitory concentration(MIC)of nanoparticles portrayed a significant killing of both Gram-positive and Gram-negative *** synthesized nanoparticles were further found as active killers of bacteria in drinking ***,these nanoparticles were found photothermally active alongside ROS *** photokilling activity makes them ideal replacement candidates for traditional water filters.

关键词： MDR Bacteria graphene oxide doping photokilling ZnO.

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Current scenario and potential of biodiesel production from waste cooking oil in Pakistan: An overview

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Chinese Journal of Chemical Engineering 2019年第10期27卷 2238-2250页

作者： Haris Mahmood khan Chaudhry Haider Ali Tanveer Iqbal Saima Yasin Muhammad sulaiman Hamayoun Mahmood Muhammad Raashid Mohsin Pasha BozhongMu Department of Chemical Polymer and Composite Materials EngineeringUniversity of Engineering&TechnologyKSK CampusLahore 54890Pakistan East China University of Science and Technology Shanghai 200237China

Biodiesel utilization has been rapidly growing worldwide as the prime alternative to petrodiesel due to a global rise in diesel fuel demand along with hazardous emissions during its thermochemical ***,several debatable issues including feedstock availability and price,fuel and food competition,changes in land use and greenhouse gas emission have been raised by using edible as well as inedible feedstocks for the production of ***,non-crop feedstocks could be a promising *** this article,waste cooking oils have been recommended as a suitable option for biodiesel production bearing in mind the current national *** important factors such as the quantity of waste cooking oil produced,crude oil and vegetable oil import expenses,high-speed diesel imports,waste management issues and environmental hazards are ***,process simulation and operating cost evaluation of an acid catalyzed biodiesel production unit are also *** simulation results show that the production cost of waste cooking oil-based biodiesel is about 0.66 USD·*** believe that the present overview would open new pathways and ideas for the development of biofuels from waste to energy approach in Pakistan.

关键词： Biodiesel Waste cooking oil Feedstock sustainability Energy demand Pakistan

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ILSM:Incorporated Lightweight Security Model for Improving QOS in WSN

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Computer Systems Science & Engineering 2023年第8期46卷 2471-2488页

作者： Ansar Munir Shah Mohammed Aljubayri Muhammad Faheem khan Jarallah Alqahtani Mahmood ul Hassan Adel sulaiman Asadullah Shaikh Insitute of Southern Punjab MultanPakistan College of Computer Science and Information Systems Najran UniversityNajranSaudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

In the network field,Wireless Sensor Networks(WSN)contain prolonged attention due to afresh *** like health care,traffic,defense,and many more systems espoused the *** networks contain tiny sensor nodes containing embedded processors,TinyOS,memory,and power *** nodes are responsible for forwarding the data *** manage all these components,there is a need to select appropriate parameters which control the quality of service of *** sensor nodes are involved in transmitting vital information,and there is a need for secure and efficient routing to reach the quality of *** due to the high cost of the network,WSN components have limited resources to manage the *** is a need to design a lightweight solution that ensures the quality of service in *** this given manner,this study provides the quality of services in a wireless sensor network with a security *** incorporated hybrid lightweight security model is designed in which random waypoint mobility(RWM)model and grey wolf optimization(GWO)is used to enhance service quality and maintain security with efficient *** version 16 andNetwork Stimulator 2.35(NS2.35)are used in this research to evaluate the *** overall cost factor is reduced at 60%without the optimization technique and 90.90%reduced by using the optimization technique,which is assessed by calculating the signal-to-noise ratio,overall energy nodes,and communication overhead.

关键词： Wireless sensor networks quality of service random waypoint mobility model grey wolf optimization security

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