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Modeling of Neurodegenerative Diseases Using Discrete Chaotic Systems

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Communications in Theoretical Physics 2019年第10期71卷 1241-1245页

作者： Payam Sadeghi Shabestari Zahra Rostami Viet-Thanh Pham fawaz e. alsaadi Tasawar Hayat Biomedical engineering Department Amirkabir University of Technology Nonlinear Systems and Applications Faculty of Electrical and Electronics EngineeringTon Duc Thang University Department of Information Technology Faculty of Computing and ITKing Abdulaziz University Department of Mathematics Quaid-I-Azam University 45320 NAAM Research Group King Abdulaziz University

Parkinson’s and Huntington’s diseases are two of the most common neurodegenerative disorders. Tremor,muscle stiffness, and slowness of movement are symptoms of Parkinson’s disease. The symptoms of Huntington’s disease are severe reduction in muscle control, emotional disturbance, and pathological disorders in brain cells. These diseases are caused by destruction of the cells that secrete a substance called dopamine. In this paper, a new discrete chaotic system is introduced, which can mimic the brain’s behavior for neurodegenerative diseases such as Parkinson, Huntington, and Hypokinesia. This system is described based on the similarity between the brain’s behavior in normal and abnormal conditions and the chaotic systems. Bifurcation analysis is carried out with respect to different parameters, providing full spectrum of the behavior for different parameter values. Our results can be used to mathematically study the mechanisms behind these diseases.

关键词： neurodegenerative diseases Parkinson Huntington Hypokinesia chaos bifurcation

High Performance Priority Packets Scheduling Mechanism for Big Data in Smart Cities

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Computers, Materials & Continua 2022年第7期72卷 535-559页

作者： fawaz Alassery Department of Computer engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Today,Internet of Things(IoT)is a technology paradigm which convinces many researchers for the purpose of achieving high performance of packets delivery in IoT applications such as smart *** various physical devices such as sensors or actuators with the Internet may causes different constraints on the network resources such as packets delivery ratio,energy efficiency,end-to-end delays ***,traditional scheduling methodologies in large-scale environments such as big data smart cities cannot meet the requirements for high performance network *** big data smart cities applications which need fast packets transmission ratio such as sending priority packets to hospitals for an emergency case,an efficient schedulingmechanism ismandatory which is the main concern of this *** this paper,we overcome the shortcoming issues of the traditional scheduling algorithms that are utilized in big data smart cities emergency *** information about the priority packets between the source nodes(i.e.,people with emergency cases)and the destination nodes(i.e.,hospitals)is performed before sending the packets in order to reserve transmission channels and prepare the sequence of transmission of theses priority packets between the two *** our proposed mechanism,Software Defined Networking(SDN)with centralized communication controller will be responsible for determining the scheduling and processing sequences for priority packets in big data smart cities *** this paper,we compare between our proposed Priority Packets Deadline First scheduling scheme(PPDF)with existing and traditional scheduling algorithms that can be used in urgent smart cities applications in order to illustrate the outstanding network performance parameters of our scheme such as the average waiting time,packets loss rates,priority packets end-to-end delay,and efficient energy consumption.

关键词： Packets transmission scheduling scheme in IoT software defined networking big data smart cities applications for priority packets

Developing a Recognition System for Classifying COVID-19 Using a Convolutional Neural Network Algorithm

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Computers, Materials & Continua 2021年第7期68卷 805-819页

作者： fawaz Waselallah Alsaade Theyazn H.H.Aldhyani Mosleh Hmoud Al-Adhaileh College of Computer Science and Information Technology King Faisal UniversityAl-AhsaSaudi Arabia Community College of Abqaiq King Faisal UniversityAl-AhsaSaudi Deanship of e-Learning and Distance education King Faisal University Saudi Arabia Al-AhsaSaudi Arabia

The COVID-19 pandemic poses an additional serious public health threat due to little or no pre-existing human immunity,and developing a system to identify COVID-19 in its early stages will save millions of *** study applied support vector machine(SVM),k-nearest neighbor(K-NN)and deep learning convolutional neural network(CNN)algorithms to classify and detect COVID-19 using chest X-ray *** test the proposed system,chest X-ray radiographs and CT images were collected from different standard databases,which contained 95 normal images,140 COVID-19 images and 10 SARS *** scenarios were considered to develop a system for predicting *** the first scenario,the Gaussian filter was applied to remove noise from the chest X-ray radiograph images,and then the adaptive region growing technique was used to segment the region of interest from the chest X-ray *** segmentation,a hybrid feature extraction composed of 2D-DWT and gray level co-occurrence matrix was utilized to extract the features significant for detecting *** features were processed using SVM and *** the second scenario,a CNN transfer model(ResNet 50)was used to detect *** system was examined and evaluated through multiclass statistical analysis,and the empirical results of the analysis found significant values of 97.14%,99.34%,99.26%,99.26%and 99.40%for accuracy,specificity,sensitivity,recall and AUC,***,the CNN model showed significant success;it achieved optimal accuracy,effectiveness and robustness for detecting COVID-19.

关键词： Machine-learning algorithm recognition system COVID-19 convolutional neural network

Association Rule Analysis-Based Identification of Influential Users in the Social Media

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Computers, Materials & Continua 2022年第12期73卷 6479-6493页

作者： Saqib Iqbal Rehan Khan Hikmat Ullah Khan fawaz Khaled Alarfaj Abdullah Mohammed Alomair Muzamil Ahmed College of engineering Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Al-HoufufSaudi Arabia

The exchange of information is an innate and natural process that assist in content *** networking sites emerge to enrich their users by providing the facility for sharing information and social *** extensive adoption of social networking sites also resulted in user content *** are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social *** is extensively used platform to share information,thoughts and opinions through posts and *** identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,*** research studies either uses linguistic content or graph-based representation of social network for the detection of influential *** this article,we incorporate association rule mining algorithms to identify the top influential users through frequent *** association rules have been computed using the standard evaluation measures such as support,confidence,lift,and *** verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules *** detailed experiments are carried out using the benchmark College-Msg dataset extracted by *** obtained results validate the quality and visibility of the proposed *** outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular *** preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

关键词： Association rule mining ranking social web influential users social media

(eeRSM): energy-efficient Multi-Hop Routing Technique in Wireless Sensor Networks Based on Combination between Stationary and Mobile Nodes

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Journal of Computer and Communications 2019年第4期7卷 31-52页

作者： fawaz Alassery Computer engineering Department Taif University Taif Saudi Arabia

In Wireless Sensor Network (WSNs), sensor nodes collect data and send them to a Base Station (BS) for further processing. One of the most issues in WSNs that researchers have proposed a hundred of technique to solve its impact is the energy constraint since sensor nodes have small battery, small memory and less data processing with low computational capabilities. However, many researches efforts have focused on how to prolong the battery lifetime of sensor nodes by proposing different routing, MAC, localization, data aggregation, topology construction techniques. In this paper, we will focus on routing techniques which aim to prolonging the network lifetime. Hence, we propose an energy-efficient Routing technique in WSNs based on Stationary and Mobile nodes (eeRSM). Sensing filed is divided into intersected circles which contain Mobile Nodes (MN). The proposed data aggregation technique via the circular topology will eliminate the redundant data to be sent to the Base Station (BS). MN in each circle will rout packets for their source nodes, and move to the intersected area where another MN is waiting (sleep mode) to receive the transmitted packet, and then the packet will be delivered to the next intersected area until the packet is arrived to the BS. Our proposed eeRSM technique is simulated using MATLAB and compared with conventional multi-hop techniques under different network models and scenarios. In the simulation, we will show how the proposed eeRSM technique overcomes many routing protocols in terms of the number of hops counted when sending packets from a source node to the destination (i.e. BS), the average residual energy, number of sent packets to the BS, and the number of a live sensor nodes verse the simulation rounds.

关键词： energy efficiency in WSNs Data Aggregation of WSNs Mobile Nodes in WSNs Multi-Hop Routing in WSNs Power efficient Techniques

Industrial Automation Information Analogy for Smart Grid Security

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Computers, Materials & Continua 2022年第5期71卷 3985-3999页

作者： Muhammad Asif Ishfaq Ali Shahbaz Ahmad Azeem Irshad Akber Abid Gardezi fawaz Alassery Habib Hamam Muhammad Shafiq Department of Computer Science National Textile UniversityFaisalabad37610PunjabPakistan Department of Computer Science and Software engineering International Islamic UniversityIslamabadPakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication engineering Yeungnam UniversityGyeongsan38541Korea

Industrial automation or assembly automation is a strictly monitored environment,in which changes occur at a good *** are many types of entities in the focusing environment,and the data generated by these devices is *** addition,because the robustness is achieved by sensing redundant data,the data becomes *** data generating device,whether it is a sensing device or a physical device,streams the data to a higher-level deception device for calculation,so that it can be driven and configured according to the updated *** the emergence of the Industry 4.0 concept that includes a variety of automation technologies,various data is generated through numerous ***,the data generated for industrial automation requires unique Information Architecture(IA).IA should be able to satisfy hard real-time constraints to spontaneously change the environment and the instantaneous configuration of all *** understand its applicability,we used an example smart grid *** smart grid system needs an IA to fulfill the communication requirements to report the hard real-time changes in the power immediately following the *** addition,in a smart grid system,it needs to report changes on either side of the system,i.e.,consumers and suppliers configure and reconfigure the system according to the *** this article,we propose an analogy of a physical phenomenon.A point charge is used as a data generating device,the streamline of electric flux is used as a data flow,and the charge distribution on a closed surface is used as a ***,the intensity changes are used in the physical process,e.g.,the smart *** analogy is explained by metaphors,and the structural mapping framework is used for its theoretical *** proposed analogy provides a theoretical basis for the development of such information architectures that can represent data flows,definition changes(deterministic and non-deterministic),events,and i

关键词： Industry 4.0 information architecture industrial automation

efficient Joint Key Authentication Model in e-Healthcare

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Computers, Materials & Continua 2022年第5期71卷 2739-2753页

作者： Muhammad Sajjad Tauqeer Safdar Malik Shahzada Khurram Akber Abid Gardezi fawaz Alassery Habib Hamam Omar Cheikhrouhou Muhammad Shafiq Department of Computer Science Air University Multan CampusMultan60000Pakistan Faculty of Computing The Islamia University of BahawalpurBahawalpur 63100Pakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of engineering Moncton UniversityNBE1A3E9Canada CeS Laboratory National School of Engineers of SfaxUniversity of SfaxSfax3038Tunisia Department of Information and Communication engineering Yeungnam UniversityGyeongsan38541Korea

Many patients have begun to use mobile applications to handle different health needs because they can better access high-speed Internet and *** devices and mobile applications are now increasingly used and integrated through the medical Internet of Things(mIoT).mIoT is an important part of the digital transformation of healthcare,because it can introduce new business models and allow efficiency improvements,cost control and improve patient *** the mIoT system,when migrating from traditional medical services to electronic medical services,patient protection and privacy are the priorities of each ***,it is recommended to use different user authentication and authorization methods to improve security and *** this paper,our prosed model involves a shared identity verification process with different situations in the e-health *** aim to reduce the strict and formal specification of the joint key authentication *** use the AVISPA tool to verify through the wellknown HLPSL specification language to develop user authentication and smart card use cases in a user-friendly *** model has economic and strategic advantages for healthcare organizations and healthcare *** medical staff can increase their knowledge and ability to analyze medical data more *** model can continuously track health indicators to automatically manage treatments and monitor health data in real ***,it can help customers prevent chronic diseases with the enhanced cognitive functions *** necessity for efficient identity verification in e-health care is even more crucial for cognitive mitigation because we increasingly rely on mIoT systems.

关键词： e-health systems joint key authentication mutual authentication

Automated Grading of Breast Cancer Histopathology Images Using Multilayered Autoencoder

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Computers, Materials & Continua 2022年第5期71卷 3407-3423页

作者： Shakra Mehak M.Usman Ashraf Rabia Zafar Ahmed M.Alghamdi Ahmed S.Alfakeeh fawaz Alassery Habib Hamam Muhammad Shafiq Knowledge Unit of System and Technology University of Management&TechnologySialkot Campus51310Pakistan Department of Computer Science University of Management and TechnologySialkot Campus51310Pakistan Faculty of Computing and Technology University of Engineering&TechnologyNarowal51610Pakistan College of Computer Science and engineering University of Jeddah21493Saudi Arabia Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer engineering College of Computers and Information TechnologyTaif UniversityTaifSaudi Arabia Faculty of engineering Moncton UniversityNBE1A3E9Canada Department of Information and Communication engineering Yeungnam UniversityGyeongsan38541Korea

Breast cancer(BC)is the most widely recognized cancer in women *** 2018,627,000 women had died of breast cancer(World Health Organization Report 2018).To diagnose BC,the evaluation of tumours is achieved by analysis of histological *** present,the Nottingham Bloom Richardson framework is the least expensive approach used to grade BC *** contemplate three elements,*** count,*** formation,and *** atypia,which is a laborious process that witness’s variations in expert’s ***,some algorithms have been proposed for the detection of mitotic cells,but nuclear atypia in breast cancer histopathology has not received much *** atypia analysis is performed not only to grade BC but also to provide critical information in the discrimination of normal breast,non-invasive breast(usual ductal hyperplasia,atypical ductal hyperplasia)and pre-invasive breast(ductal carcinoma in situ)and invasive breast *** proposed a deep-stacked multi-layer autoencoder ensemble with a softmax layer for the feature extraction and classification *** classification results show the value of the multilayer autoencoder model in the evaluation of nuclear *** proposed method has indicated promising results,making them more fit in breast cancer grading.

关键词： Breast cancer nuclear atypia autoencoder

Securing Fog Computing For e-Learning System Using Integration of Two encryption Algorithms

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Journal of Cyber Security 2021年第3期3卷 149-166页

作者： Hind A.Alshambri fawaz Alassery Department of Information Technology Taif UniversityAl-HawiyaTaif 21974Saudi Arabia Department of Computer engineering Taif UniversityAl-HawiyaTaif 21974Saudi Arabia

Currently,the majority of institutions have made use of information technologies to improve and develop their diverse educational methods to attract more *** information technologies,e-learning and learning-on-the go have been adopted by the institutions to provide affordability and flexibility of educational *** of the educational institutes are offering online teaching classes using the technologies like cloud computing,networking,*** institutes have developed their e-learning platforms for the online learning process,through this way they have paved the way for distance *** e-learning platform has to face a lot of security challenges in terms of cyberattacks and data hacking through unauthorized *** computing is one of the new technologies that facilitate control over access to big data,as it acts as a mediator between the cloud and the user to bring services closer and reduce their *** report presents the use of fog computing for the development of an e-learning *** introduced different algorithms to secure the data and information sharing through e-learning ***,this report provides a comparison among RSA,AeS,and eCC algorithms for fog-enabled cybersecurity *** Algorithms are compared by developing them using python-based language program,in terms of encryption/decryption time,key generations techniques,and other features *** addition,we proposed to use a hybrid cryptography system of two types of encryption algorithms such as RSA with AeS to fulfill the security,file size,and latency required for the communication between the fog and the e-learning *** tested our proposed system and highlight the pros and cons of the Integrated encryption Schemes by performing a testbed for e-learning website scenario using *** and C#.

关键词： Fog computing information security integrated encryption RSA AeS eCC e-learning system