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DNBP-CCA:A Novel Approach to Enhancing Heterogeneous Data Traffic and Reliable Data Transmission for Body Area Network

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Computers, materials & Continua 2024年第5期79卷 2851-2878页

作者： Abdulwadood Alawadhi mohd.Hasbullah Omar Abdullah Almogahed Noradila Nordin Salman A.Alqahtani atif m.alamri InterNetWorks Research Laboratory School of ComputingUniversiti Utara MalaysiaSintok06010Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaParit RajaJohor86400Malaysia School of Games&Creative Technology University for the Creative ArtsFarnhamGU97DSUK Computer Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

The increased adoption of Internet of medical Things (IomT) technologies has resulted in the widespread use ofBody Area Networks (BANs) in medical and non-medical domains. However, the performance of IEEE 802.15.4-based BANs is impacted by challenges related to heterogeneous data traffic requirements among nodes, includingcontention during finite backoff periods, association delays, and traffic channel access through clear channelassessment (CCA) algorithms. These challenges lead to increased packet collisions, queuing delays, retransmissions,and the neglect of critical traffic, thereby hindering performance indicators such as throughput, packet deliveryratio, packet drop rate, and packet delay. Therefore, we propose Dynamic Next Backoff Period and Clear ChannelAssessment (DNBP-CCA) schemes to address these issues. The DNBP-CCA schemes leverage a combination ofthe Dynamic Next Backoff Period (DNBP) scheme and the Dynamic Next Clear Channel Assessment (DNCCA)scheme. The DNBP scheme employs a fuzzy Takagi, Sugeno, and Kang (TSK) model’s inference system toquantitatively analyze backoff exponent, channel clearance, collision ratio, and data rate as input parameters. Onthe other hand, the DNCCA scheme dynamically adapts the CCA process based on requested data transmission tothe coordinator, considering input parameters such as buffer status ratio and acknowledgement ratio. As a result,simulations demonstrate that our proposed schemes are better than some existing representative approaches andenhance data transmission, reduce node collisions, improve average throughput, and packet delivery ratio, anddecrease average packet drop rate and packet delay.

关键词： Internet of medical Things body area networks backoff period tsk fuzzy model clear channel assessment media access control

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Earthquake risk assessment in NE India using deep learning and geospatial analysis

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Geoscience Frontiers 2021年第3期12卷 541-556页

作者： Ratiranjan Jena Biswajeet Pradhan Sambit Prasanajit Naik Abdullah m.alamri The Center for Advanced modeling and Geospatial Information Systems(CAmGIS) Faculty of Engineering and Information TechnologyUniversity of Technology SydneyNSW 2007Australia Department of Energy and mineral Resources Engineering Sejong UniversityChoongmu-gwan209Neungdong-roGwangin-guSeoul 05006Republic of Korea Earth Observation Center Institute of Climate ChangeUniversiti Kebangsaan Malaysia43600 UKMBangiSelangorMalaysia Active Fault and Earthquake Hazard mitigation Research Institute Pukyong National UniversityBusan 48513South Korea Department of Geology&Geophysics College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia

Earthquake prediction is currently the most crucial task required for the probability,hazard,risk mapping,and mitigation *** prediction attracts the researchers'attention from both academia and ***,the risk assessment approaches have used various traditional and machine learning ***,deep learning techniques have been rarely tested for earthquake probability ***,this study develops a convolutional neural network(CNN)model for earthquake probability assessment in NE *** conducts vulnerability using analytical hierarchy process(AHP),Venn's intersection theory for hazard,and integrated model for risk mapping.A prediction of classification task was performed in which the model predicts magnitudes more than 4 mw that considers nine *** classification results and intensity variation were then used for probability and hazard mapping,***,earthquake risk map was produced by multiplying hazard,vulnerability,and coping *** vulnerability was prepared by using six vulnerable factors,and the coping capacity was estimated by using the number of hospitals and associated variables,including budget available for disaster *** CNN model for a probability distribution is a robust technique that provides good *** show that CNN is superior to the other algorithms,which completed the classification prediction task with an accuracy of 0.94,precision of 0.98,recall of 0.85,and F1 score of *** indicators were used for probability mapping,and the total area of hazard(21,412.94 km^(2)),vulnerability(480.98 km^(2)),and risk(34,586.10 km^(2))was estimated.

关键词： Earthquake Convolutional neural network Geospatial information systems Hazard Vulnerability Risk North-East India

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Fog-Based Secure Framework for Personal Health Records Systems

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Computers, materials & Continua 2021年第2期66卷 1937-1948页

作者： Lewis Nkenyereye S.m.Riazul Islam mahmud Hossain mAbdullah-Al-Wadud atif alamri Department of Computer&Information Security Sejong UniversitySeoul05006Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Computer Science University of Alabama at BirminghamBirminghamAL35294USA Department of Software Engineering King Saud UniversityRiyadh11543Saudi Arabia

The rapid development of personal health records(PHR)systems enables an individual to collect,create,store and share his PHR to authorized *** care systems within the smart city environment require a patient to share his PRH data with a multitude of institutions’repositories located in the *** cloud computing paradigm cannot meet such a massive transformative healthcare systems due to drawbacks including network latency,scalability and *** computing relieves the load of conventional cloud computing by availing intermediate fog nodes between the end users and the remote *** a massive demand of PHR data within a ubiquitous smart city,we propose a secure and fog assisted framework for PHR systems to address security,access control and privacy *** under a fog-based architecture,the proposed framework makes use of efficient key exchange protocol coupled with ciphertext attribute based encryption(CP-ABE)to guarantee confidentiality and fine-grained access control within the system *** also make use of digital signature combined with CP-ABE to ensure the system authentication and users *** provide the analysis of the proposed framework in terms of security and performance.

关键词： Fog computing personal health records ciphertext attribute based encryption secure communications

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Towards Prevention of Sportsmen Burnout:Formal Analysis of Sub-Optimal Tournament Scheduling

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Computers, materials & Continua 2022年第1期70卷 1509-1526页

作者： Syed Rameez Naqvi Adnan Ahmad S.m.Riazul Islam Tallha Akram m.Abdullah-Al-Wadud atif alamri Department of Electrical and Computer Engineering COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Research Chair of Pervasive and mobile Computing King Saud UniversityRiyadh11543Saudi Arabia

Scheduling a sports tournament is a complex optimization problem,which requires a large number of hard constraints to *** the availability of several such constraints in the literature,there remains a gap sincemost of the new sports events pose their own unique set of requirements,and demand novel *** talking of the strictly time bound events,ensuring fairness between the different teams in terms of their rest days,traveling,and the number of successive games they play,becomes a difficult task to resolve,and demands *** this work,we present a similar situation with a recently played sports event,where a suboptimal schedule favored some of the sides more than the *** introduce various competitive parameters to draw a fairness comparison between the sides and propose a weighting criterion to point out the sides that enjoyed this schedule more than the ***,we use root mean squared error between an ideal schedule and the actual ones for each side to determine unfairness in the distribution of rest days across their entire *** latter is crucial,since successively playing a large number of games may lead to sportsmen burnout,which must be prevented.

关键词： Sports scheduling optimization constraint programming fatigue analysis

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Clinical practice guidelines in multisystem inflammatory syndrome(mIS-C)related to COVID-19:a critical review and recommendations

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World Journal of Pediatrics 2022年第2期18卷 83-90页

作者： Alanood S.Algarni Njoud m.alamri Noor Z.Khayat Raghad A.Alabdali Rawabi S.Alsubhi Shahad H.Alghamdi Department of Pharmacology and Toxicology Faculty of PharmacyPharmacy CollageUmm Al-Qura UniversityMakkah 21955Saudi Arabia Pharmacy Collage.Umm Al-Qura University Makkah.Saudi Arabia

Background multisystem inflammatory syndrome in children(mIS-C)is a serious health condition that develops from and is linked to coronavirus disease ***-C is considered a multi-organ dysfunction involving cardiac,renal,respiratory,hematologic,gastrointestinal and neurological symptoms and groups of signs and symptoms such as rash or bilateral non-purulent conjunctivitis,hypotension or shock and acute gastrointestinal problems,which require immediate therapeutic intervention to prevent the aggravation of the patient’s health ***-C is relatively new in the field of evidence-based medicine;however,there are several clinical guidelines for good clinical *** every disorder,the guidelines have different ***,based on the current status of the evidence,recommendations have been combined to form a unified guideline for therapeutic *** This paper compares and evaluates the current mIS-C-specific clinical practice guidelines(namely,American Academy of Pediatrics,American College of Rheumatology,Helen DeVos Children’s Hospital Foundation,Children’s Hospital of The King’s Daughters,and the Infectious Diseases Society of America).The compiled literature was then assessed by the authors separately,and an algorithm was proposed for each disorder,taking into consideration the various guidelines proposed for the management of the *** The features of mIS-C patients are unified;this is very helpful in managing its symptoms and decreasing mortality *** addition,recommendations for pharmacological treatment for mIS-C symptoms are formulated after cross-comparison across five different *** This study provides a general interpretation of the results in the context of other evidence and implications for future *** proposes a unified guideline based on the current evidence,with the best potential to maintain suitable clinical standards in the Saudi Arabian ministry of Health.

关键词： Coronavirus disease 2019 multisystem inflammatory syndrome Pediatric multisystem inflammatory syndrome

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DL-HAR: Deep Learning-Based Human Activity Recognition Framework for Edge Computing

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Computers, materials & Continua 2020年第11期65卷 1033-1057页

作者： Abdu Gumaei mabrook Al-Rakhami Hussain AlSalman Sk.md.mizanur Rahman atif alamri Research Chair of Pervasive and mobile Computing King Saud UniversityRiyadh11543Saudi Arabia College of Computer and Information Sciences King Saud UniversityRiyadh11543Saudi Arabia Information and Communication Engineering Technology School of Engineering Technology and Applied ScienceCentennial CollegeTorontoCanada

Human activity recognition is commonly used in several Internet of Things applications to recognize different contexts and respond to *** learning has gained momentum for identifying activities through sensors,smartphones or even surveillance ***,it is often difficult to train deep learning models on constrained IoT *** focus of this paper is to propose an alternative model by constructing a Deep Learning-based Human Activity Recognition framework for edge computing,which we call *** goal of this framework is to exploit the capabilities of cloud computing to train a deep learning model and deploy it on less-powerful edge devices for *** idea is to conduct the training of the model in the Cloud and distribute it to the edge *** demonstrate how the DL-HAR can perform human activity recognition at the edge while improving efficiency and *** order to evaluate the proposed framework,we conducted a comprehensive set of experiments to validate the applicability of *** results on the benchmark dataset show a significant increase in performance compared with the state-of-the-art models.

关键词： Human activity recognition edge computing deep neural network recurrent neural network Docker

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Blockchain-Enabled EHR Framework for Internet of medical Things

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Computers, materials & Continua 2021年第4期67卷 211-221页

作者： Lewis Nkenyereye S.m.Riazul Islam mahmud Hossain m.Abdullah-Al-Wadud atif alamri Department of Computer and Information Security Sejong UniversitySeoul05006Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Computer Science University of Alabama at BirminghamAlabama35294USA Department of Software Engineering King Saud UniversityRiyadh11543Saudi Arabia

The Internet of medical Things(IomT)offers an infrastructure made of smart medical equipment and software applications for healthcare *** the internet,the IomT is capable of providing remote medical diagnosis and timely health *** patients can use their smart devices to create,store and share their electronic health records(EHR)with a variety of medical personnel including medical doctors and ***,unless the underlying commination within IomT is secured,malicious users can intercept,modify and even delete the sensitive EHR data of *** also lose full control of their EHR since most healthcare services within IomT are constructed under a centralized platform outsourced in the ***,it is appealing to design a decentralized,auditable and secure EHR system that guarantees absolute access control for the patients while ensuring privacy and *** the features of blockchain including decentralization,auditability and immutability,we propose a secure EHR framework which is mainly maintained by the medical *** this framework,the patients’EHR data are encrypted and stored in the servers of medical institutions while the corresponding hash values are kept on the *** make use of security primitives to offer authentication,integrity and confidentiality of EHR data while access control and immutability is guaranteed by the blockchain *** security analysis and performance evaluation of the proposed framework confirms its efficiency.

关键词： Internet of medical Things security privacy preservation blockchain access control

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Biochemical and radiological predictors of malignant biliary strictures

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World Journal of Gastroenterology 2004年第10期10卷 1504-1507页

作者： Ibrahim A.AI-mofleh Abdulrahman m.Aljebreen Saleh m.alamri Rashed S.AJ-Rashed Faleh Z.Al-Faleh Hussein m.AJ-Freihi Ayman A.Abdo Arthur C.Isnani Gastroenterology Division department of Medicine (38)King Khalid University HospitalRiyadhKingdom of Saudi Arabia King Khalid University Hospital College of Medicine and Research Center (74)PO Box 2925Riyadh 11461Kingdom of Saudi Arabia

AIm: Differentiation of benign biliary strictures (BBS) from malignant biliary strictures (mBS) remains difficult despite improvement in imaging and endoscopic techniques. The aim of this study was to identify the clinical, biochemical and or radiological predictors of malignant biliary ***: We retrospectively reviewed all charts of patients who had biliary strictures (BS) on endoscopic retrograde cholangiopancreatography (ERCP) or percutaneous cholangiography (PTC) in case of unsuccessful ERCP from march 1998 to August 2002. Patient characteristics, clinical features, biochemical, radiological and biopsy results were all recorded. Stricture etiology was determined based on cytology,biopsy or clinical follow-up. A receiver operator characteristic (ROC) curve was constructed to determine the optimal laboratory diagnostic criterion threshold in predicting ***: One hundred twenty six patients with biliary strictures were enrolled, of which 72 were malignant. The mean age for BBS was 53 years compared to 62.4 years for mBS (P=0.0006). Distal bile duct stricture was mainly due to a malignant process 48.6% vs 9% (P=0.001). Alkaline phosphates and AST levels were more significantly elevated in mBS (P=0.0002). ROC curve showed that a bilirubin level of 84 μmol/L or more was the most predictive of mBS with a sensitivity of 98.6%, specificity of 59.3% and a positive likelihood ratio of 2.42 (95% CI=0.649-0.810). Proximal biliary dilatation was more frequently encountered in mBS compared to BBS, 73.8% vs39.5% (P=0.0001). majority of BBS (87%) and mBS (78%) were managed ***: A serum bilirubin level of 84 μmol/L or greater is the best predictor of mBS. Older age, proximal biliary dilatation, higher levels of bilirubin, alkaline phosphatase, ALT and AST are all associated with mBS. ERCP is necessary to diagnose and treat benign and malignant biliary strictures.

关键词： Biliary Tract Diseases Biliary Tract Neoplasms Constriction, Pathologic Predictive Value of Tests Age Factors Bilirubin Cholangiography Cholangiopancreatography, Endoscopic Retrograde Humans middle Aged ROC Curve Retrospective Studies Sensitivity and Specificity

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Solving Fractional Differential Equations via Fixed Points of Chatterjea maps

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Computer modeling in Engineering & Sciences 2023年第6期135卷 2617-2648页

作者： Nawab Hussain Saud m.Alsulami Hind alamri Department of mathematics King Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia Department of mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

In this paper,we present the existence and uniqueness of fixed points and common fixed points for Reich and Chatterjea pairs of self-maps in complete metric ***,we study fixed point theorems for Reich and Chatterjea nonexpansive mappings in a Banach space using the Krasnoselskii-Ishikawa iteration method associated withSλand consider some applications of our results to prove the existence of solutions for nonlinear integral and nonlinear fractional differential *** also establish certain interesting examples to illustrate the usability of our results.

关键词： Common fixed points Reich and Chatterjea mappings Krasnoselskii-Ishikawa iteration complete metric space Banach space integral equation nonlinear fractional differential equation

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Application of functional near-infrared spectroscopy in the healthcare industry:A review

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Journal of Innovative Optical Health Sciences 2019年第6期12卷 108-198页

作者： Keum-Shik Hong m.atif Yaqub School of mechanical Engineering Pusan National University Busan 46241 Republic of Korea Department of Cogno-mechatronics Engineering Pusan National University Busan 46241 Republic of Korea

Functional near-infrared spectrosoopy(NIRS),a growing neuroimaging modality,has been utilized over the past few decades to understand the neuronal behavior in the *** technique has been used to assess the brain hemodynamics of impaired cohorts as well as *** is a critical technique for patients with inpaired cognitive or motor *** portable nature of the fNIRS system is suitable for frequent monitoring of the patients who exhibit impaired brain *** study comprehensively reviews brain impaired patients:The studies involving patient populations and the diseases discussed in more than 10 works are *** diseases examined in this paper include autism spectrum disorder,attentiondeficit hyperactivity disorder,epilepsy,depressive disorders,anxiety and panic disorder,schizophrenia,mild cognitive impairment,Alzheimer's disease,Parkinson's disease,stroke,and traumatic brain *** each disease,the tasks used for exarmination,NIRS variables,and significant findings on the impairment are *** channel configurations and the regions of interest are also *** the occurrence of symptoms at an earlier stage is vital for better rehabilitation and faster *** paper ilustrates the usability of fNIRS for early detection of inpairment and the usefulness in monitoring the rehabilitation ***,the limitations of the current fNIRS systems(ie,nonexistence of a standard method and the lack of well-established features for classification)and future research directions are *** authors hope that the findings in this paper would lead to advanced breakthrough discoveries in the fNIRS field in the future.

关键词： NIRS brain impairment psychiatric disorder degenerative brain disease brain injury patient

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