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Smart Security Framework for Educational Institutions Using Internet of Things(IoT)

Computers, Materials & Continua 2019年第7期61卷 81-101页

作者： Afzal Badshah Anwar Ghani Muhammad Ahsan qureshi Shahaboddin Shamshirband Department of Computer Science and Software Engineering International Islamic UniversityIslamabad44000Pakistan Faculty of Computing and Information Technology University of JeddahKhulais21959Kingdom of Saudi Arabia Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi Minh CityVietnam

Educational institutions are soft targets for the terrorist with massive and defenseless *** the recent past,numbers of such attacks have been executed around the *** research,in order to provide a secure environment to the educational institutions is a challenging *** effort is motivated by recent assaults,made at Army Public School Peshawar,following another attack at Charsada University,Khyber Pukhtun Khwa,Pakistan and also the Santa Fe High School Texas,USA *** study uses the basic technologies of edge computing,cloud computing and IoT to design a smart emergency alarm system *** is engaged in developing this world smarter,can contribute significantly to design the Smart Security Framework(SSF)for educational *** the emergency situation,all the command and control centres must be informed within seconds to halt or minimize the *** this article,the SSF is *** framework works on three *** first layer is the sensors and smart devices *** these sensors and smart devices are connected to the Emergency Control Room(ECR),which is the second layer of the proposed *** second layer uses edge computing technologies to process massive data and information *** third layer uses cloud computing techniques to transmit and process data and information to different command and control *** proposed system was tested on Cisco Packet Tracer *** result shows that this approach can play an efficient role in security alert,not only in the educational institutions but also in other organizations too.

关键词： Internet of things smart security framework massacres terrorism smart emergency alert

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Stochastic Computational Approach for Complex Nonlinear Ordinary Differential Equations

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Chinese Physics Letters 2011年第2期28卷 20-23页

作者： Junaid Ali Khan Muhammad Asif Zahoor Raja Ijaz Mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan Department of Electrical Engineering Air UniversityIslamabadPakistan

We present an evolutionary computational approach for the solution of nonlinear ordinary differential equations(NLODEs).The mathematical modeling is performed by a feed-forward artificial neural network that defines an unsupervised *** training of these networks is achieved by a hybrid intelligent algorithm,a combination of global search with genetic algorithm and local search by pattern search *** applicability of this approach ranges from single order NLODEs,to systems of coupled differential *** illustrate the method by solving a variety of model problems and present comparisons with solutions obtained by exact methods and classical numerical *** solution is provided on a continuous finite time interval unlike the other numerical techniques with comparable *** the advent of neuroprocessors and digital signal processors the method becomes particularly interesting due to the expected essential gains in the execution speed.

关键词： technique methods ordinary

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De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization

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Chinese Journal of Electronics 2023年第1期32卷 166-176页

作者： Rizwan Sadiq Muhammad Bilal qureshi Muhammad Mohsin Khan Dept.of Electrical and Electronic Engineering Koc University Dept.of Electrical and Computer Engineering COMSATS University Dept.of Radiology and Biomedical Imaging Yale University Sino-Pak Center for Artificial Intelligence (SPCAI) Pak-Austria Fachhochschule:Institute of Applied Sciences and Technology (PAF-IAST)

Synthetic aperture radar(SAR) imaging is an efficient strategy which exploits the properties of microwaves to capture images. A major concern in SAR imaging is the reconstruction of image from back scattered signals in the presence of noise. The reflected signal consist of more noise than the target signal and it is a challenging problem to reduce the noise in the collected signal for better reconstruction of an image. Current studies mostly focus on filtering techniques for noise removal. This can result in an undesirable point spread function causing extreme smearing effect in the desired image. In order to handle this problem, a computational technique, particle swarm optimization(PSO) is used for de-noising purpose and later the target performance is further improved by an amalgamation of Wiener ***, to improve the de-noising performance we have exploited the singular value decomposition based morphological filtering. To justify the proposed improvements we have simulated the proposed techniques and results are compared with the conventional existing models. The proposed method revealed considerable decrease in mean square error compared to Wiener filter and PSO techniques. Quantitative analysis of image restoration quality are also presented in comparison with Wiener filter and PSO based on the improvement in signal to noise ratio and peak signal to noise ratio.

关键词： Radar remote sensing Wiener filters Filtering Statistical analysis Radar polarimetry Particle swarm optimization Synthetic aperture radar

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Exploring compression and parallelization techniques for distribution of deep neural networks over Edge-Fog continuum-a review

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International Journal of Intelligent Computing and Cybernetics 2020年第3期13卷 331-364页

作者： Azra Nazir Roohie Naaz Mir Shaima qureshi Department of Computer Science and Engineering National Institute of Technology SrinagarSrinagarIndia

Purpose-The trend of“Deep Learning for Internet of Things(IoT)”has gained fresh momentum with enormous upcoming applications employing these models as their processing engine and Cloud as their resource *** this picture leads to underutilization of ever-increasing device pool of IoT that has already passed 15 billion mark in ***,it is high time to explore a different approach to tackle this issue,keeping in view the characteristics and needs of the two *** at the Edge can boost applications with realtime deadlines while complementing ***/methodology/approach-This review paper contributes towards three cardinal directions of research in the field of DL for *** first section covers the categories of IoT devices and how Fog can aid in overcoming the underutilization of millions of devices,forming the realm of the things for *** second direction handles the issue of immense computational requirements of DL models by uncovering specific compression *** appropriate combination of these techniques,including regularization,quantization,and pruning,can aid in building an effective compression pipeline for establishing DL models for IoT *** third direction incorporates both these views and introduces a novel approach of parallelization for setting up a distributed systems view of DL for ***-DL models are growing deeper with every passing ***-coordinated distributed execution of such models using Fog displays a promising future for the IoT application *** is realized that a vertically partitioned compressed deep model can handle the trade-off between size,accuracy,communication overhead,bandwidth utilization,and latency but at the expense of an additionally considerable memory *** reduce the memory budget,we propose to exploit Hashed Nets as potentially favorable candidates for distributed ***,the critical point between accuracy and size for such models needs further i

关键词： Distributed deep neural networks Fog Internet of things Compression Parallelization Paper type Research paper

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Analysis of series RL and RC circuits with time-invariant source using truncated M,Atangana beta and conformable derivatives

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Journal of Ocean Engineering and Science 2021年第3期6卷 217-227页

作者： Sania qureshi Mokhi Maan Chang Asif Ali Shaikh Department of Basic Sciences and Related Studies Mehran University of Engineering and Technology Jamshoro76062SindhPakistan Department of Electrical Engineering Mehran University of Engineering and Technology Jamshoro76062SindhPakistan

Complex processes of the physical world require novel and sophisticated mathematical notions to get deep *** this research analysis,two standard mathematical models for the series RL and RC circuits having time-invariant sources taken from the discipline of electrical engineering have been investigated with the help of differential operators known with the name of truncated M-derivative,Atangana beta-derivative,and the conformable derivative *** exact solutions for these two models have been found in terms of the transcendental exponential function of time under the truncated M-derivative,Atangana beta-derivative,and the conformable derivative *** numerical simulations carried out via MATLAB”9.***.0.813654(R2018a)”have been interpreted to explore new behavior for solutions of the models not possible to obtain through standard classical calculus wherein one is restricted to have integer-order derivatives unlike the differential operators used in the present research *** models under consideration for the three differential operators have been investigated with varying parameters’values including the differential ordersαandβwhereupon the classical case is resumed forα=β=1 andτ=0.

关键词： Mittag-Leffler function M-integral Constant voltage Kirchoff’s laws Numerical simulations.

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NewBee: Context-Free Grammar (CFG) of a New Programming Language for Novice Programmers

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Intelligent Automation & Soft Computing 2023年第7期37卷 439-453页

作者： Muhammad Aasim qureshi Muhammad Asif Saira Anwar Department of Computer Science Bahria University Lahore54000Pakistan Department of Law Science and TechnologyUniversity of Bologna40126Italy Department of Multidisciplinary Engineering Texas A&M UniversityCollege Station77843USA

Learning programming and using programming languages are the essential aspects of computer science *** use programming languages to write their *** computer programs(students or practitioners written)make computers artificially intelligent and perform the tasks needed by the *** these programs,the computer may be visioned as a pointless *** the premise of writing programs is situated with specific programming languages,enormous efforts have been made to develop and create programming ***,each program-ming language is domain-specific and has its nuances,syntax and seman-tics,with specific pros and *** language-specific details,including syntax and semantics,are significant hurdles for novice ***,the instructors of introductory programming courses find these language specificities as the biggest hurdle in students learning,where more focus is on syntax than logic development and actual implementation of the *** the conceptual difficulty of programming languages and novice students’struggles with the language syntax,this paper describes the design and development of a Context-Free Grammar(CFG)of a programming language for the novice,newcomers and students who do not have computer science as their *** to its syntax proximity to daily conversations,this paper hypothesizes that this language will be easy to use and understand by novice *** paper systematically designed the language by identifying themes from various existing programming languages(e.g.,C,Python).Additionally,this paper surveyed computer science experts from industry and academia,where experts self-reported their satisfaction with the newly designed *** results indicate that 93%of the experts reported satisfaction with the NewBee for novice,newcomer and non-Computer Sci-ence(CS)major students.

关键词： Programming language formal language computer language language grammar simple syntax programming language novice programmer

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Hemorrhagic ascites from spontaneous ectopic mesenteric varices rupture in NASH induced cirrhosis and successful outcome:A case report

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World Journal of Gastroenterology 2014年第25期20卷 8292-8297页

作者： Raja GR Edula Kamran qureshi Hicham Khallafi Department of Medicine Division of Gastroenterology and HepatologyRutgers New Jersey Medical SchoolNewarkNJ 07103United States Department of Hepatology Florida Hospital Transplant CenterOrlando FL 32804United States

Bleeding from gastro-esophageal varices can often present as the first decompensating event in patients with cirrhosis. This can be a potentially life threatening event associated with a 15%-20% early mortality. We present a rare case of new onset ascites due to intra-abdominal hemorrhage from ruptured mesenteric varices; in a 37 years old male with newly diagnosed nonalcoholic steatohepatitis induced cirrhosis as the first decompensating event. The patient was successfully resuscitated with emergent evacuation of ascites for diagnosis, identification and control of bleeding mesenteric varices and eventually orthotopic liver transplantation with successful outcome. Various clinical presentations, available treatment options and outcomes of ectopic variceal bleeding are discussed in this report.

关键词： Cirrhosis Nonalcoholic steatohepatitis Ectopic varices Hemorrhagic ascites Portal hypertension Orthotopic liver transplantation

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Pseudo NLP Joint Spam Classification Technique for Big Data Cluster

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Computers, Materials & Continua 2022年第4期71卷 517-535页

作者： WooHyun Park Nawab Muhammad Faseeh qureshi Dong Ryeol Shin Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwon16419Korea Department of Computer Education Sungkyunkwan UniversitySeoul03063Korea

Spam mail classification considered complex and error-prone task in the distributed computing *** are various available spam mail classification approaches such as the naive Bayesian classifier,logistic regression and support vector machine and decision tree,recursive neural network,and long short-term memory ***,they do not consider the document when analyzing spam mail *** approaches use the bagof-words method,which analyzes a large amount of text data and classifies features with the help of term frequency-inverse document *** there are many words in a document,these approaches consume a massive amount of resources and become infeasible when performing classification on multiple associated mail documents ***,spam mail is not classified fully,and these approaches remain with ***,we propose a term frequency topic inverse document frequency model that considers the meaning of text data in a larger semantic unit by applying weights based on the document’s ***,the proposed approach reduces the scarcity problem through a frequency topic-inverse document frequency in singular value decomposition *** proposed approach also reduces the dimensionality,which ultimately increases the strength of document *** evaluations show that the proposed approach classifies spam mail documents with higher accuracy using individual document-independent processing *** evaluations show that the proposed approach performs better than the logistic regression model in the distributed computing environment,with higher document word frequencies of 97.05%,99.17%and 96.59%.

关键词： NLP big data machine learning TFT-IDF spam mail

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Temporal Correlation-Based Spatial Filtering of Rician Noise for Functional MRIs

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Chinese Physics Letters 2012年第1期29卷 287-290页

作者： Amir.A.Khaliq I.M.qureshi Jawad.A.Shah Department of Electronic Engineering International Islamic UniversityIslamabadPakistan Air University ISSSIslamabadPakistan

A novel correlation-based filter is presented for de-noising functional magnetic resonance imaging (fMRI) *** correlation-based exponential weights are defined for spatial smoothing of the data,with bias reduction using estimated noise *** proposed scheme is tested on simulated and real fMRI ***,the results are compared with conventional *** method is found to be effectively suppressing the Rician noise in fMRI data,while improving the SNR.

关键词： weights smoothing Spatial

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Novel Approach for a van der Pol Oscillator in the Continuous Time Domain

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Chinese Physics Letters 2011年第11期28卷 16-19页

作者： Junaid Ali Khan Muhammad Asif Zahoor Raja Ijaz Mansoor qureshi Department of Electronic Engineering International Islamic UniversityIslamabadPakistan

We investigate the continuous time domain numerical treatment of a van der Pol oscillator,applying the trial solution as an artificial feed-forward neural network model containing unknown adjustable *** optimization of the network is performed by simulated annealing in an unsupervised *** proposed scheme is tested successfully by its application in both non-stiff and stiff *** reliability and effectiveness is validated through comprehensive statistical *** obtained results are in good agreement with the classical RK45 method.

关键词： artificial neural stiff

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