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Static Analysis Techniques for Fixing Software Defects in MPI-Based Parallel Programs

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Computers, Materials & Continua 2024年第5期79卷 3139-3173页

作者： norah abdullah al-Johany Sanaa abdullah Sharaf Fathy Elbouraey Eassa Reem Abdulaziz alnanih Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Software Engineering and Distributed System Research Group King Abdulaziz UniversityJeddah21589Saudi Arabia

The Message Passing Interface (MPI) is a widely accepted standard for parallel computing on distributed ***, MPI implementations can contain defects that impact the reliability and performance of parallelapplications. Detecting and correcting these defects is crucial, yet there is a lack of published models specificallydesigned for correctingMPI defects. To address this, we propose a model for detecting and correcting MPI defects(DC_MPI), which aims to detect and correct defects in various types of MPI communication, including blockingpoint-to-point (BPTP), nonblocking point-to-point (NBPTP), and collective communication (CC). The defectsaddressed by the DC_MPI model include illegal MPI calls, deadlocks (DL), race conditions (RC), and messagemismatches (MM). To assess the effectiveness of the DC_MPI model, we performed experiments on a datasetconsisting of 40 MPI codes. The results indicate that the model achieved a detection rate of 37 out of 40 codes,resulting in an overall detection accuracy of 92.5%. Additionally, the execution duration of the DC_MPI modelranged from 0.81 to 1.36 s. These findings show that the DC_MPI model is useful in detecting and correctingdefects in MPI implementations, thereby enhancing the reliability and performance of parallel applications. TheDC_MPImodel fills an important research gap and provides a valuable tool for improving the quality ofMPI-basedparallel computing systems.

关键词： High-performance computing parallel computing software engineering software defect message passing interface deadlock

A new fractional order 6D chaotic model:Study of model dynamics,system structure graph,electronic circuit realization and fractional control

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Journal of Ocean Engineering and Science 2024年第2期9卷 112-125页

作者： M.Higazy norah almalki Shabbir Muhammad A.al-Ghamdi Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Physics and Engineering Mathematics Faculty of Electronic EngineeringMenoufia UniversityMenouf 32952Egypt Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Chemistry College of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Department of Physics Faculty of ScienceKing Abdulaziz UniversityP.O.Box 80203Jeddah 21589Saudi Arabia

A new fractional 6D chaotic model is constructed in this *** new fractional 6D chaotic model has six positive parameters plus the fractional order with eight nonlinear *** complicated chaotic dy-namics of the new fractional 6D model is presented and *** basic properties of this model are studied and its chaotic attractors,dissipative feature,symmetry,equilibrium points,Lyapunov Exponents are *** new dynamics of the 6D fractional model is numerically simulated using Matlab *** addition,utilizing the graph theory tools certain structural characteristics are *** electrical circuit is built to implement the new 5.4 fractional order 6D ***,an active fractional order controller is proposed to control the new model at different fractional *** chaos of the new model is very useful and can be used to produce random keys for data encryption.

关键词： Chaotic systems Fractional calculus Lyapunov exponents Chaotic attractors Adjacency matrix Hermitian matrix Electronic circuit realization

Authenblue: A New Authentication Protocol for the Industrial Internet of Things

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Computers, Materials & Continua 2021年第4期67卷 1103-1119页

作者： Rachid Zagrouba Asayel alAbdullatif Kholood alAjaji norah al-Serhani Fahd alhaidari abdullah almuhaideb Atta-ur-Rahman Department of Computer Information System College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The Internet of Things(IoT)is where almost anything can be controlled and managed remotely by means of *** the IoT evolution led to quality of life enhancement,many of its devices are *** lack of robust key management systems,efficient identity authentication,low fault tolerance,and many other issues lead to IoT devices being easily targeted by *** this paper we propose a new authentication protocol called Authenblue that improve the authentication process of IoT devices and Coordinators of Personal Area Network(CPANs)in an Industrial IoT(IIoT)*** study proposed Authenblue protocol as a new Blockchainbased authentication *** enhance the authentication process and make it more secure,Authenblue modified the way of generating IIoT identifiers and the shared secret keys used by the IIoT devices to raise the efficiency of the authentication *** enhance the authentication protocol that other models rely on by enhancing the approach used to generate the User Identifier(UI).The UI values changed from being static values,sensors MAC addresses,to be generated values in the inception *** approach makes the process of renewing the sensor keys more secure by renewing their UI values instead of changing the secret *** this study,Authenblue has been simulated in the Network Simulator 3(NS3).Simulation results show an improved performance compared to the related work.

关键词： Authentication industrial internet of things security Authenblue blockchain NS3

Arabic Named Entity Recognition:A BERT-BGRU Approach

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Computers, Materials & Continua 2021年第7期68卷 471-485页

作者： norah alsaaran Maha alrabiah Department of Computer Science Imam Muhammad Ibn Saud Islamic UniversityRiyadhSaudi Arabia

Named Entity Recognition(NER)is one of the fundamental tasks in Natural Language Processing(NLP),which aims to locate,extract,and classify named entities into a predefined category such as person,organization and *** of the earlier research for identifying named entities relied on using handcrafted features and very large knowledge resources,which is time consuming and not adequate for resource-scarce languages such as ***,deep learning achieved state-of-the-art performance on many NLP tasks including NER without requiring hand-crafted *** addition,transfer learning has also proven its efficiency in several NLP tasks by exploiting pretrained language models that are used to transfer knowledge learned from large-scale datasets to domain-specific *** Encoder Representation from Transformer(BERT)is a contextual language model that generates the semantic vectors dynamically according to the context of the *** architecture relay on multi-head attention that allows it to capture global dependencies between *** this paper,we propose a deep learning-based model by fine-tuning BERT model to recognize and classify Arabic named *** pre-trained BERT context embeddings were used as input features to a Bidirectional Gated Recurrent Unit(BGRU)and were fine-tuned using two annotated Arabic Named Entity Recognition(ANER)*** results demonstrate that the proposed model outperformed state-of-the-art ANER models achieving 92.28%and 90.68%F-measure values on the ANERCorp dataset and the merged ANERCorp and AQMAR dataset,respectively.

关键词： Named entity recognition Arabic deep learning BGRU BERT

Image Based Smoke Detection Using Source Separation

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光谱学与光谱分析 2019年第3期39卷 982-989页

作者： Ouiem Bchir Mohamed Maher Ben Ismail norah Asiri Computer Science Department College of Computer and Information SciencesKing Saud University

In this paper, we propose an automatic image based smoke detection using source separation. In particular, we assume that the region of interest(smoke region) is a linear combination of smoke and background pixels, and we estimate the smoke component. More specifically, we extend the linear hyperspectral unmixing techniques to the context of image based smoke detection in order to separate the smoke component from the background. The proposed approach yields promising results especially with smoke images captured outdoor.

关键词： Pattern recognition Computer science Hyperspectral

Rehabilitation and returning to activity after prolonged moderate traumatic brain injury

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Chinese Medical Journal 2021年第18期134卷 2261-2262页

作者： norah M.alsalamah Physical Therapy Department College of Applied Medical SciencesQassim UniversityBuraidahQassimSaudi Arabia

To the Editor:Traumatic brain injury(TBI)indicates the disruption of normal function after a head or body blow or a *** accordance with the criteria of the Glasgow Coma Scale,the severity of a TBI is classified into mild,moderate,and severe,based on patients’motor and verbal responses and eye opening.[1]Recently,studies have shown that 10%to 30%of individuals who tolerate head injuries may experience delayed symptoms and impairments from months to years later.

关键词： injuries Glasgow injury

Synthetic and lignin-based surfactants:Challenges and opportunities

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Carbon Resources Conversion 2018年第2期1卷 126-138页

作者： norah alwadani Pedram Fatehi Chemical Engineering Department Lakehead University955 Oliver RoadThunder BayOntario P7B5E1Canada

Surface active agents(surfactants)are chemicals that can accumulate at the surface of a liquid,or interface between two phases with the role of changing the surface tension of the *** on their structures,they have many applications in industries,such as the petroleum,mining,pulping and textiles,wherein they are utilized as detergents,wetting agents,emulsifiers,foaming agents and *** of commonly used surfactants are oil-based ***,using environmentally friendly feedstocks to produce surfactant is desirable to lessen the environmental impact of surfactant production and use in *** is an attractive candidate for this purpose as it is inexpensive and readily *** and lignin derivatives,such as lignosulfonates,can be chemically modified to produce surfactants with different chemical and physical properties,which makes them suitable for a wide variety of *** lignin types and the processes performed for lignin production affect the properties of generated lignin significantly,which in turn influence the reactivity and the efficiency of the reaction for surfactant *** this review,the characteristics and applications of oil-based surfactants,and the efforts to produce lignin-based surfactants are *** oil-based surfactants with altered properties are available in the market,several different pathways can be followed for producing lignin-based *** advantages and disadvantages of using lignin-based surfactants are also discussed.

关键词： Lignin Surfactant Lignosulfonate Biorefining Organic materials

Energy-Efficient and Blockchain-Enabled Model for Internet of Things (IoT) in Smart Cities

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Computers, Materials & Continua 2021年第3期66卷 2509-2524页

作者： norah Saleh alghamdi Mohammad Ayoub Khan College of Computer and Information Sciences Princess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computing and Information Technologies University of BishaBisha67714Saudi Arabia

Wireless sensor networks(WSNs)and Internet of Things(IoT)have gained more popularity in recent years as an underlying infrastructure for connected devices and sensors in smart *** data generated from these sensors are used by smart cities to strengthen their infrastructure,utilities,and public *** are suitable for long periods of data acquisition in smart *** make the networks of smart cities more reliable for sensitive information,the blockchain mechanism has been *** key issues and challenges of WSNs in smart cities is efficiently scheduling the resources;leading to extending the network lifetime of *** this paper,a linear network coding(LNC)for WSNs with blockchain-enabled IoT devices has been *** consumption of energy is reduced for each node by applying *** efficiency and the reliability of the proposed model are evaluated and compared to those of the existing *** from the simulation demonstrate that the proposed model increases the efficiency in terms of the number of live nodes,packet delivery ratio,throughput,and the optimized residual energy compared to other current techniques.

关键词： IoT blockchain WSN smart cities LNC

Effective Frameworks Based on Infinite Mixture Model for Real-World Applications

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Computers, Materials & Continua 2022年第7期72卷 1139-1156页

作者： norah Saleh alghamdi Sami Bourouis Nizar Bouguila Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia College of Computers and Information Technology Taif UniversityTaif21944Saudi Arabia The Concordia Institute for Information Systems Engineering(CIISE) Concordia UniversityMontrealQC H3G 1T7Canada

Interest in automated data classification and identification systems has increased over the past years in conjunction with the high demand for artificial intelligence and security *** particular,recognizing human activities with accurate results have become a topic of high *** the current tools have reached remarkable successes,it is still a challenging problem due to various uncontrolled environments and *** this paper two statistical frameworks based on nonparametric hierarchical Bayesian models and Gamma distribution are proposed to solve some realworld *** particular,two nonparametric hierarchical Bayesian models based on Dirichlet process and Pitman-Yor process are *** models are then applied to address the problem of modelling grouped data where observations are organized into groups and these groups are statistically linked by sharing mixture *** choice of the Gamma mixtures is motivated by its flexibility for modelling heavy-tailed *** addition,deploying the Dirichlet process prior is justified by its advantage of automatically finding the right number of components and providing nice ***,a learning step via variational Bayesian setting is presented in a flexible *** priors over the parameters are selected appropriately and the posteriors are approximated effectively in a closed *** results based on a real-life applications that concerns texture classification and human actions recognition show the capabilities and effectiveness of the proposed framework.

关键词： Infinite Gamma mixture model variational Bayes hierarchical Dirichlet process Pitman-Yor process texture classification human action recognition