检索结果-南通市图书馆

Chinese Journal of Polymer Science 2016年第12期34卷 1500-1509页

作者： Tanveer ul Haq Zia Ahmad Nawaz Khan majid hussain Ibrar Hassan Iftikhar hussain Gul Department of Materials Engineering School of Chemical and Materials EngineeringNational University of Sciences and Technology

The dielectric and mechanical properties of hybrid polymer nanocomposites of polystyrene/polyaniline/carbon nanotubes coated with polyaniline （pCNTs） have been investigated using impedance analyzer and extensometer. The blends of PS/PANI formed the heterogeneous phase separated morphology in which pCNTs are dispersed uniformly. The incorporation of a small amount of pCNTs into the blend of PS/PANI has remarkably increased the dielectric properties. Similarly, the AC conductivity of PS/PANI is also increased five orders of magnitude from 1.6 × 10^-10 to 2.0×10^-5 ***-1 in the hybrid nanocomposites. Such behavior of hybrid nanocomposites is owing to the interfacial polarization occurring due to the presence of multicomponent domains with varying conductivity character of the phases from insulative PS to poor conductor PANI to highly conductive CNTs. Meanwhile, the tensile modulus and tensile strength are also enhanced significantly up to 55% and 160%, respectively, without much loss of ductility for three phase hybrid nanocomposites as compared to the neat PS. Thereby, the hybrid nanocomposites of PS/PANI/pCNTs become stiffer, stronger and tougher as compared to the neat systems.

关键词： Nanocomposites Carbon nanotubes Dielectric behavior Mechanical properties Polystyrene.

Fault Detection and Identification Using Deep Learning Algorithms in Induction Motors

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2022年第11期133卷 435-470页

作者： majid hussain Tayab Din Memon Imtiaz hussain Zubair Ahmed Memon Dileep Kumar Department of Electronic Engineering Quaid-e-Awam University of Engineering Science and TechnologyNawabshah67480Pakistan NCRA Condition Monitoring Systems Lab Mehran University of Engineering and TechnologyJamshoro76062Pakistan Department of Electronic Engineering Mehran University of Engineering and TechnologyJamshoro76062Pakistan Design and Creative Technology Torrens University AustraliaMelbourneAustralia Department of Electronics and Power Engineering Pakistan Navy Engineering College NUSTKarachi75350Pakistan

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted as a useful approach to avoiding plant disturbances and ***,Motor Current Signature Analysis(MCSA)is widely reported as a condition monitoring technique in the detection and identification of individual andmultiple Induction Motor(IM)***,checking the fault detection and classification with deep learning models and its comparison among them selves or conventional approaches is rarely reported in the ***,in this work,wepresent the detection and identification of induction motor faults with MCSA and three Deep Learning(DL)models namely MLP,LSTM,and ***,we have developed the model of Squirrel Cage induction motor in MATLAB and simulated it for single phasing and stator winding faults(SWF)using Fast Fourier Transform(FFT),Short Time Fourier Transform(STFT),and Continuous Wavelet Transform(CWT)to detect and identify the healthy and unhealthy conditions with phase to ground,single phasing and in multiple fault conditions using Motor Current Signature *** faults impact on stator current is presented in the time and frequency domain(i.e.,power spectrum).The simulation results show that the scalogram has shown good results in time-frequency analysis for fault and showing its impact on the energy of current during individual fault and multiple fault *** is further investigated with three deep learning models(i.e.,MLP,LSTM,and 1D-CNN)for checking the fault detection and identification(i.e.,classification)improvement in a three-phase induction *** simulating the three-phase induction motor in various healthy and unhealthy conditions in MATLAB,we have collected current signature data in the time domain,labeled them accordingly and created the 50 thousand samples dataset for DL *** the DL models are trained and validated with a suitable number of architecture *** simulation,the multiclass confusion

关键词： Condition monitoring motor fault diagnosis stator winding faults deep learning signal processing

Resource Management in UAV Enabled MEC Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第3期74卷 4847-4860页

作者： Muhammad Abrar Ziyad M.Almohaimeed Ushna Ajmal Rizwan Akram Rooha Masroor Muhammad majid hussain Bahauddin Zakariya University Department of Electrical EngineeringMultan60000Pakistan Department of Electrical Engineering College of EngineeringQassim UniversityBuraidah51452Saudi Arabia COMSATS University WAH Campus Islamabad47040Pakistan Department of Electrical and Electronics Engineering University of South WalesPontypirddCF371DLUK

Mobile edge cloud networks can be used to offload computationally intensive tasks from Internet of Things(IoT)devices to nearby mobile edge servers,thereby lowering energy consumption and response time for ground mobile users or IoT *** of Unmanned Aerial Vehicles(UAVs)and the mobile edge computing(MEC)server will significantly benefit small,battery-powered,and energy-constrained devices in 5G and future wireless *** address the problem of maximising computation efficiency in U-MEC networks by optimising the user association and offloading indicator(OI),the computational capacity(CC),the power consumption,the time duration,and the optimal location planning *** is possible to assign some heavy tasks to the UAV for faster processing and small ones to the mobile users(MUs)*** paper utilizes the k-means clustering algorithm,the interior point method,and the conjugate gradient method to iteratively solve the non-convex multi-objective resource allocation *** to simulation results,both local and offloading schemes give optimal solution.

关键词： Mobile edge computing internet of things UAVs ground mobile users

Examining the Quality Metrics of a Communication Network with Distributed Software-Defined Networking Architecture

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第11期141卷 1673-1708页

作者： Khawaja Tahir Mehmood Shahid Atiq Intisar Ali Sajjad Muhammad majid hussain Malik M.Abdul Basit Department of Electrical Engineering Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan Department of Telecommunication Systems Bahauddin Zakariya UniversityMultan60000Pakistan Department of Electrical Engineering University of Engineering and TechnologyTaxila47050Pakistan School of Engineering and Physical Sciences Heriot-Watt UniversityEdinburghEH144ASUK

Software-Defined Networking(SDN),with segregated data and control planes,provides faster data routing,stability,and enhanced quality metrics,such as throughput(Th),maximum available bandwidth(Bd(max)),data transfer(DTransfer),and reduction in end-to-end delay(D(E-E)).This paper explores the critical work of deploying SDN in large-scale Data Center Networks(DCNs)to enhance its Quality of Service(QoS)parameters,using logically distributed control *** is a noticeable increase in Delay(E-E)when adopting SDN with a unified(single)control structure in big DCNs to handle Hypertext Transfer Protocol(HTTP)requests causing a reduction in network quality parameters(Bd(max),Th,DTransfer,D(E-E),etc.).This article examines the network performance in terms of quality matrices(bandwidth,throughput,data transfer,etc.),by establishing a large-scale SDN-based virtual network in the Mininet *** SDN network is simulated in three stages:(1)An SDN network with unitary controller-POX to manage the data traffic flow of the network without the server load management algorithm.(2)An SDN network with only one controller to manage the data traffic flow of the network with a server load management algorithm.(3)Deployment of SDN in proposed control arrangement(logically distributed controlled framework)with multiple controllers managing data traffic flow under the proposed Intelligent Sensing Server Load Management(ISSLM)*** a result of this approach,the network quality parameters in large-scale networks are enhanced.

关键词： Software defined networking quality of service hypertext transfer protocol data transfer rate latency maximum available bandwidth server load management

Statistical Analysis of Network Based Issues and Their Impact on Social Computing Practices in Pakistan

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer and Communications 2016年第13期4卷 23-39页

作者： Zahoor hussain Zulﬁqar Ali Bhutto Gulab Rai majid hussain Kashif Zaheer Institute of Information and Communication Technology University of Sindh Jamshoro Pakistan Education & Literacy Department Government of Sindh Karachi Pakistan Bahria University Karachi Campus Pakistan Department of Computer Science Karachi University Karachi Pakistan

Social computing and online groups have accompanied in a new age of the network, where information, networking and communication technologies are enabling systematized human efforts in primarily innovative ways. The social network communities working on various social network domains face different hurdles, including various new research studies and challenges in social computing. The researcher should try to expand the scope and establish new ideas and methods even from other disciplines to address the various challenges. This idea has diverse academic association, social links and technical characteristics. Thus it offers an ultimate opportunity for researchers to find out the issues in social computing and provide innovative solutions for conveying the information between social online groups on network computing. In this research paper we investigate the different issues in social media like users’ privacy and security, network reliabilities, and desire data availability on these social media, users’ awareness about the social networks and problems faced by academic domains. A huge number of users operated the social networks for retrieving and disseminating their real time and offline information to various places. The information may be transmitted on local networks or may be on global networks. The main concerns of users on social media are secure and fast communication channels. Facebook and YouTube both claimed for efficient security mechanism and fast communication channels for multimedia data. In this research a survey has been conducted in the most populated cities where a large number of Facebook and YouTube users have been found. During the survey several regular users indicate the certain potential issues continuously occurred on these social web sites interfaces, for example unwanted advertisement, fake IDS, uncensored videos and unknown friend request which cause the poor speed of channel communication, poor uploading and downloading data speed, cha

关键词： Computer Networks Categories of Social Computing Application Facebook and YouTube Potential Issues Statistical Analysis

Novel Scheme for Robust Confusion Component Selection Based on Pythagorean Fuzzy Set

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第3期74卷 6523-6534页

作者： Nabilah Abughazalah Mohsin Iqbal majid Khan Iqtadar hussain Department of Mathematical Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mathematics&Statistics Riphah International UniversityIslamabadPakistan Department of Applied Mathematics&Statistics Institute of Space TechnologyIslamabadPakistan Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar Statistical Consulting Unit College of Arts and ScienceQatar UniversityDohaQatar

The substitution box,often known as an S-box,is a nonlinear component that is a part of several block *** purpose is to protect cryptographic algorithms from a variety of cryptanalytic assaults.A Multi-Criteria Decision Making(MCDM)problem has a complex selection procedure because of having many options and criteria to choose *** of this,statistical methods are necessary to assess the performance score of each S-box and decide which option is the best one available based on this *** the Pythagorean Fuzzy-based Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS)method,the major objective of this investigation is to select the optimal S-box to be implemented from a pool of twelve key *** the help of the Pythagorean fuzzy set(PFS),the purpose of this article is to evaluate whether this nonlinear component is suitable for use in a variety of encryption *** this article,we have considered various characteristics of S-boxes,including nonlinearity,algebraic degree,strict avalanche criterion(SAC),absolute indicator,bit independent criterion(BIC),sum of square indicator,algebraic immunity,transparency order,robustness to differential cryptanalysis,composite algebraic immunity,signal to noise ratio-differential power attack(SNR-DPA),and confusion coefficient variance on some standard S-boxes that are Advanced Encryption Following this,the findings of the investigation are changed into Pythagorean fuzzy numbers in the shape of a *** matrix is then subjected to an analysis using the TOPSIS method,which is dependent on the Pythagorean fuzzy set,to rank the most suitable S-box for use in encryption applications.

关键词： Decision making substitution box TOPSIS multi-criterion decision making fuzzy set Pythagorean fuzzy set

Generalization of Advanced Encryption Standard Based on Field of Any Characteristic

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第12期73卷 6121-6138页

作者： Nabilah Abughazalah majid Khan Noor Munir Ammar SAlanazi Iqtadar hussain Department of Mathematical Sciences College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Applied Mathematics&Statistics Institute of Space TechnologyIslamabadPakistan King Abdulaziz City for Science and Technology RiyadhSaudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar Statistical Consulting Unit College of Arts and ScienceQatar UniversityDohaQatar

Nowadays most communications are done by utilizing digital transmission *** security of this digital information transmitted through different communication systems is quite *** secrecy of digital data is one of the burning topics of the digitally developed *** exist many traditional algorithms in the literature to provide methods for robust *** most important and recent modern block cipher named the advanced encryption standard(AES)is one of the extensively utilized encryption schemes with binary *** is a succession of four fundamental steps:round key,sub-byte,shift row,and mix *** this work,we will provide an innovative methodology for extending the AES in a Galois fieldwith any characteristic *** four steps in the fundamental process with binary characteristics will be adjusted because of the new *** applying double affine transformations,we have enhanced the number of options in our suggested substitution *** reconstruction of the nonlinear confusion component and encryption structure provides robustness in the generalized *** increase in the keyspace due to the Galois field generalization implies that we have improved additional confusion abilities and broadened the current *** implementation of the proposed structure of AES for image,audio,and video encryption will provide high security for secure communication.

关键词： AES generalized AES binary field ternary function

HEV感染对沙鼠中枢神经系统的病理学损伤作用

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

HEV感染对沙鼠中枢神经系统的病理学损伤作用

Atmospheric Convection Model Based Digital Confidentiality Scheme

中国畜牧兽医学会兽医病理学分会、中国病理生理学会动物病理生理专业委员会、中国实验动物学会实验病理学专业委员会2016年学术研讨会

作者：石蕊寒 majid hussain Soomro 佘锐萍杨依霏吴桥兴胡凤姣李恒毛晶晶赵月杜芳王铜铜郝文卓苑雪瑞安俊卿中国农业大学动物医学院

目前关于戊型肝炎患者伴随发生神经功能障碍的报道日渐增多,为观察戊型肝炎病毒(Heptaitis E virus,HEV)对中枢神经系统的侵害作用,本研究用四型猪源HEV感染沙鼠,结合RT-n PCR,ELISA,组织病理学、超微结构病理学方法以及免疫组织化学技... 详细信息

目前关于戊型肝炎患者伴随发生神经功能障碍的报道日渐增多,为观察戊型肝炎病毒(Heptaitis E virus,HEV)对中枢神经系统的侵害作用,本研究用四型猪源HEV感染沙鼠,结合RT-n PCR,ELISA,组织病理学、超微结构病理学方法以及免疫组织化学技术,对于中枢神经系统中戊型肝炎病毒进行检测,并对其引发的病理变化进行观察分析。结果显示在感染后7到28天内沙鼠的脑和脊髓组织中都能检测到HEV的正链及负链RNA;光镜及电镜观察显示在HEV阳性的沙鼠脑和脊髓组织中出现了神经元变性坏死,小胶质细胞结节,淋巴细胞浸润和血管袖套等病理变化,并且血脑屏障相关的结构出现了损伤。以上结果表明HEV能够在脑和脊髓组织中进行复制并引发病理损伤。

关键词：戊型肝炎病毒脑脊髓血脑屏障病理变化

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第6期71卷 4503-4522页

作者： Noor Munir majid Khan Mohammad Mazyad Hazzazi Amer Aljaedi Sajjad Shaukat Jamal Iqtadar hussain Department of Applied Mathematics and Statistics Institute of Space TechnologyIslamabadPakistan Department of Mathematics College of ScienceKing Khalid UniversityAbha61413Saudi Arabia College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Department of Mathematics Statistics and PhysicsQatar UniversityDoha2713Qatar

Nonlinear dynamics is a fascinating area that is intensely affecting a wide range of different disciplines of science and technology *** combination of different innovative topics of information security and high-speed computing has added new visions into the behavior of complex nonlinear dynamical systems which uncovered amazing results even in the least difficult *** generation of complex actions froma very simple dynamical method has a strong relation with information *** protection of digital content is one of the inescapable concerns of the digitally advanced ***,information plays an important role in everyday life and affects the surroundings *** digital contents consist of text,images,audio,and videos,*** to the vast usage of digital images in the number of social and web applications,its security is one of the biggest *** this work,we have offered an innovative image encryption technique based on present criteria of confusion and *** designed scheme comprises two major nonlinear dynamical *** have employed discrete fractional chaotic iterative maps to add confusion capability in our suggested algorithm and continuous chaotic Lorenz *** have verified our offered scheme by using statistical *** investigations under the statistical tests suggested that our proposed technique is quite reasonable for the security of digital data.

关键词： Lorenz atmospheric convection model fractional logistic map image encryption S-box

Multiclass Stomach Diseases Classication Using Deep Learning Features Optimization

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第6期67卷 3381-3399页

作者： Muhammad Attique Khan Abdul majid Nazar hussain Majed Alhaisoni Yu-Dong Zhang Seifedine Kadry Yunyoung Nam Department of Computer Science HITEC UniversityTaxila47040Pakistan College of Computer Science and Engineering University of Ha’ilHa’ilSaudi Arabia Department of Informatics University of LeicesterLeicesterUK Department of Mathematics and Computer Science Faculty of ScienceBeirut Arab UniversityLebanon Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

In the area of medical image processing,stomach cancer is one of the most important cancers which need to be diagnose at the early *** this paper,an optimized deep learning method is presented for multiple stomach disease *** proposed method work in few important steps—preprocessing using the fusion of ltering images along with Ant Colony Optimization(ACO),deep transfer learning-based features extraction,optimization of deep extracted features using nature-inspired algorithms,and nally fusion of optimal vectors and classication using Multi-Layered Perceptron Neural Network(MLNN).In the feature extraction step,pretrained Inception V3 is utilized and retrained on selected stomach infection classes using the deep transfer learning *** on,the activation function is applied to Global Average Pool(GAP)for feature ***,the extracted features are optimized through two different nature-inspired algorithms—Particle Swarm Optimization(PSO)with dynamic tness function and Crow Search Algorithm(CSA).Hence,both methods’output is fused by a maximal value approach and classied the fused feature vector by *** datasets are used to evaluate the proposed method—CUI WahStomach Diseases and Combined dataset and achieved an average accuracy of 99.5%.The comparison with existing techniques,it is shown that the proposed method shows signicant performance.

关键词： Stomach infections deep features features optimization fusion classication