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Edge Computing Based Applications in Vehicular Environments:Comparative Study and Main Issues

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Journal of Computer Science & Technology 2019年第4期34卷 869-886页

作者： Leo Mendiboure Mohamed-aymen Chalouf Francine Krief LaBRI Laboratory University of BordeauxTalence 33400France IRISA Laboratory University of Rennes 1Lannion 22300France LaBRI Laboratory Bordeaux INPTalence 33400France

Despite the expanded efforts,the vehicular ad-hoc networks(VANETs)are still facing many challenges such as network performances,network scalability and *** solutions have been proposed to overcome these obstacles,and the edge computing,an extension of the cloud computing,is one of *** edge computing,communication,storage and computational capabilities are brought closer to end *** could offer many benefits to the global vehicular network including,for example,lower latency,network off-loading and context-awareness(location,environment factors,etc.).Different approaches of edge computing have been developed:mobile edge computing(MEC),fog computing(FC)and cloudlet are the main *** introducing the vehicular environment background,this paper aims to study and compare these different *** that purpose their main features are compared and the state-of-the-art applications in VANETs are *** addition,MEC,FC,and cloudlet are classified and their suitability level is debated for different types of vehicular ***,some challenges and future research directions in the fields of edge computing and VANETs are discussed.

关键词： cloud computing edge computing fog computing cloudlet vehicular network

STABILITY OF THE S-LEFT AND S-RIGHT ESSENTIal SPECTRA OF A LINEAR OPERATOR

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Acta Mathematica Scientia 2014年第6期34卷 1922-1934页

作者： aymen AMMAR Bilel BOUKETTAYA Aref JERIBI Département de Mathématiques Faculté des Sciences de SfaxUniversité de SfaxRoute de Soukra Km 3.5B.P.11713000SfaxTunisie

In the present paper, we define the S-left and the S-right essential spectra of a linear operator and we study the stability of the S-essential spectra on a Banach space.

关键词： S-left essential spectra S-right essential spectra Fredholm perturbation Riesz operator

Linear endoscopic ultrasound:Current uses and future perspectives in mediastinal examination

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World Journal of Gastroenterology 2024年第33期30卷 3803-3809页

作者： Eyad Gadour Sarah al Ghamdi Bogdan Miutescu Hossam E Shaaban Zeinab Hassan aymen almuhaidb Hussein H Okasha Department of Gastroenterology and Hepatology King Abdulaziz National Guard HospitalAhsa 36428Saudi Arabia Department of Internal Medicine Zamzam University CollegeSchool of MedicineKhartoum 11113Sudan Department of Medicine Division of GastroenterologyKing Abdulaziz UniversityJeddah 3646Saudi Arabia Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Center in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Department of Internal Medicine and Gastroenterology NhtmriCairo 11796Egypt Department of Internal Medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology King Faisal Specialist Hospital and Research CenterRiyadh 11211Saudi Arabia Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt

This editorial elaborates on the current and future applications of linear endoscopic ultrasound(EUS),a substantial diagnostic and therapeutic modality for various anatomical *** scope of endosonographic assessment is broad and,among other factors,allows for the evaluation of the mediastinal anatomy and related pathologies,such as mediastinal lymphadenopathy and the staging of central malignant lung ***,EUS assessment has proven more accurate in detecting small lesions missed by standard imaging examinations,such as computed tomography or magnetic resonance *** focus on its current uses in the mediastinum,including lung and esophageal cancer staging,as well as evaluating mediastinal lymphadenopathy and submucosal *** editorial also explores future perspectives of EUS in mediastinal examination,including ultrasound-guided therapies,artificial intelligence integration,advancements in mediastinal modalities,and improved diagnostic approaches for various mediastinal lesions.

关键词： Linear endoscopic ultrasound Mediastinal examination Lung cancer Computed tomography Magnetic resonance imaging

Breeding biology of a relictual Maghreb Magpie(Pica mauritanica)population in Tunisia

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Avian Research 2021年第1期12卷 28-36页

作者： aymen Nefla Ridha Ouni Slaheddine Selmi Said Nouira Department of Biology Faculty of Sciences of TunisUniversity of Tunis El ManarEl Manar II2092 TunisTunisia Tunisia Wildlife Conservation Society BejaouaSidi Thabit TunisTunisia Research Unit“Ecology of Terrestrial Fauna”(UR17ES44) Faculty of SciencesUniversity of GabesZrig6072 GabesTunisia

Background:The Maghreb Magpie(Pica mauritanica)is an endemic North African *** knowledge on this species is limited to historic descriptive data with no ecological information *** continue to dramatically decline in Tunisia,where only one relic population *** the breeding biology of this species is essential for conservation *** purpose of this study was to increase our understanding of the Tunisian relic population and provide detailed data on breeding biology over two breeding seasons(2017 and 2018).Methods:This study occurred on a private farm of 650 ha,located 10 km from Dhorbania village at Kairouan Governorate,in central *** nests were monitored weekly during egg laying period and twice a week during hatching *** Ivlev's electivity index was used to assess whether the frequency of use of nesting trees and bushes matched their availability in the study *** recorded nest measurements and positions,and compared them using Wilcoxon signed-rank *** of breeding parameters as number of eggs laid,hatchlings,and fledglings over years were performed using Mann–Whitney U-test andχ^(2) *** used a Generalized Linear Mixed Model(GLMM)to investigate how egg volume varied with clutch size and laying ***:We investigated clutch size,egg size,hatching and fledging success,and evaluated how these parameters varied according to laying date and nest *** size averaged 5.00±0.19 but was significantly greater *** of nest failure included the depredation of nestlings by shrikes,cobras and rats(*** meridionalis,Naja haje and Rattus rattus),death of parents by the Black-shouldered Kite(Elanus caeruleus)and nest parasitism by the Great Spotted Cuckoo(Clamator glandarius).Clutch size,brood size and fledgling success were unaffected by laying date,nest volume and nest *** volume decreased with laying date but was unaffected by ***

关键词： Clutch size Laying date Maghreb Magpie Nesting habitat Nest success Relic population Tunisia

Classification COVID-19 Based on Enhancement X-Ray Images and Low Complexity Model

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Computers, Materials & Continua 2022年第7期72卷 561-576页

作者： aymen Saad Israa SKamil Ahmed alsayat Ahmed Elaraby Department of Information Technology Technical College of ManagementKufaAl Furat Alawsat UniversityIraq Department of Medical Laboratory Techniques Al-Mustaqbal University CollegeHillaIraq Department of Computer Science College of Computer and Information SciencesJouf UniversitySaudi Arabia Department of Computer Science Faculty of Computers and InformationSouth Valley UniversityQenaEgypt

COVID-19 has been considered one of the recent epidemics that occurred at the last of 2019 and the beginning of 2020 that world *** spread of COVID-19 requires a fast technique for diagnosis to make the appropriate decision for the treatment.X-ray images are one of the most classifiable images that are used widely in diagnosing patients’data depending on radiographs due to their structures and tissues that could be *** Neural Networks(CNN)is the most accurate classification technique used to diagnose COVID-19 because of the ability to use a different number of convolutional layers and its high classification *** using CNNs techniques requires a large number of images to learn and obtain satisfactory *** this paper,we used SqueezNet with a modified output layer to classify X-ray images into three groups:COVID-19,normal,and *** this study,we propose a deep learning method with enhance the features of X-ray images collected from Kaggle,Figshare to distinguish between COVID-19,Normal,and Pneumonia *** this regard,several techniques were used on the selected image samples which are Unsharp filter,Histogram equal,and Complement image to produce another view of the *** Squeeze Net CNN model has been tested in two scenarios using the 13,437 X-ray images that include 4479 for each type(COVID-19,Normal and Pneumonia).In the first scenario,the model has been tested without any enhancement on the *** achieved an accuracy of 91%.But,in the second scenario,the model was tested using the same previous images after being improved by several techniques and the performance was high at approximately 95%.The conclusion of this study is the used model gives higher accuracy results for enhanced images compared with the accuracy results for the original images.A comparison of the outcomes demonstrated the effectiveness of ourDLmethod for classifying COVID-19 based on enhanced X-ray images.

关键词： COVID-19 X-ray image enhancement classification CNN SqueezNet model

A Robust MPP Tracker Based on Sliding Mode Control for a Photovoltaic Based Pumping System

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International Journal of Automation and computing 2017年第4期14卷 489-500页

作者： Farhat Maissa Oscar Barambones Sbita Lassad aymen Fleh Department of Electrical Electronics and Communications Engineering American University of Ras A1 Khaimah Ras AI Khaimah 10021 UAE Advanced Control Group Faculty of Engineering of Vitoria-Gasteiz University of the Basque Country Bilbao Spain Electrical and Automatic Engineering Department Engineering School of Gabes University of Gabes Zrig Gabes 6029 Tunisia

In this paper, a mathematical model of the photovoltaic （PV） pumping system＇s main components is firstly established. Then, the design of maximum power point tracking （MPPT） stage that ensures battery charging is described. This work is motivated by the need of photovoltaic generator （PVG） that efficiently extracts maximum power. The PVG is a special source of energy which has nonlinear current-voltage characteristics depending on variations in temperature and solar irradiance. In order to achieve the MPPT operating goals, a special interest is focused on the variable structure sliding mode （SM） control strategy and the classic perturb and observe （P＆O） algorithm. The permanent magnet synchronous motor （PMSM） is selected as a pump driver. The field oriented control is performed as the motor drive strategy. Simulation results show a high level of efficiency, obtained with the proposed PV based pumping system. The performance comparison between SM controller and P＆O controller has been carried out to demonstrate the effectiveness of the former in drawing more energy and a fast response against irradiation disturbances.

关键词： Photovoltaic (PV) pump storage battery boost sliding mode control (SMC) maximum power point tracking (MPPT).

Fuzz-TIME: an intelligent system for managing fuzzy temporal information

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International Journal of Intelligent Computing and Cybernetics 2017年第2期10卷 200-222页

作者： aymen Gammoudi allel Hadjali Boutheina Ben Yaghlane Institut Superieur De Gestion De Tunis LARODECTunisTunisia Laboratoire d’Informatique et d’Automatique pour les Systèmes École nationale supérieure de mécanique et d’aérotechniqueChasseneuil-du-PoitouFrance IHECT University of CarthageTunisTunisia

Purpose-Time modeling is a crucial feature in many application ***,temporal information often is not crisp,but is subjective and *** purpose of this paper is to address the issue related to the modeling and handling of imperfection inherent to both temporal relations and ***/methodology/approach-On the one hand,fuzzy extensions of allen temporal relations are investigated and,on the other hand,extended temporal relations to define the positions of two fuzzy time intervals are ***,a database system,called Fuzzy Temporal Information Management and Exploitation(Fuzz-TIME),is developed for the purpose of processing fuzzy temporal ***-To evaluate the proposal,the authors have implemented a Fuzz-TIME system and created a fuzzy historical database for the querying *** demonstrative scenarios from history domain are proposed and *** limitations/implications-The authors have conducted some experiments on archaeological data to show the effectiveness of the Fuzz-TIME ***,thorough experiments on large-scale databases are highly desirable to show the behavior of the tool with respect to the performance and time execution *** implications-The tool developed(Fuzz-TIME)can have many practical applications where time information has to be dealt *** particular,in several real-world applications like history,medicine,criminal and financial domains,where time is often perceived or expressed in an imprecise/fuzzy *** implications-The social implications of this work can be expected,more particularly,in two domains:in the museum to manage,exploit and analysis the piece of information related to archives and historic data;and in the hospitals/medical organizations to deal with time information inherent to data about patients and ***/value-This paper presents the design and characterization of a novel and intelligent database system to process and manage

关键词： Information retrieval Fuzzy set theory Fuzzy temporal relations Fuzzy time intervals Temporal databases

High resolution sequence stratigraphy of the Mishrif Formation(Cenomanian-Early Turonian)at zubair oilfield(al-rafdhiah dome),southern Iraq

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Petroleum Research 2024年第1期9卷 61-71页

作者： aymen A.Lazim Maher J.Ismail Maher M.Mahdi Geoscience Department Zubair Field Operation DivisionBasra Oil CompanyIraq Basrah Oil Company WQ1 FODBasrahIraq University of Basrah College of ScienceGeology Dept.BasrahIraq

The Mishrif Formation(Cenomanian-E Turonian)is one of the most important geological formations in the Middle East and Iraq because it contains enormous petroleum *** is considered to be the first reservoir in the region,and is still being studied because of its economic *** carbonate of the Mishrif Formation derives from a variety of depositional settings,including mid-ramp,shoal,lagoon,and *** five main microfacies discussed in this paper are wackestone,packstone,grainstone,floatstone,and *** most frequent fossilised components found in the Mishrif Formation are rudists,benthic foraminifera,echinoderms,burrows molluscs,and *** to the microfacies and analysed wireline log data,the sequence stratigraphy of the studied formation is composed of two regression *** parasequences of transgressive-regressive cycles make up the depositional sequence of the Mishrif *** standard depositional environments seem to demonstrate a gradual regression,beginning with a short period of the outer ramp,then a steady period of the mid-ramp,and ending in the intertidal ***,the study recorded two regional maximum flooding surfaces:K-135 and *** former is present in the lowermost part of the formation,while the other lies in the *** study shows a close relationship between facies(environments)and hydrocarbon *** increased accumulation focuses on the lower part of the studied formation,and seems to be lower in the upper part of the formation as a result of changes in the environment of deposition.

关键词： Mishrif formation Cenomanian Sequence stratigraphy Zubair oilfield Iraq

Brain Tumor Detection and Segmentation Using RCNN

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Computers, Materials & Continua 2022年第6期71卷 5005-5020页

作者： Maham Khan Syed Adnan Shah Tenvir ali Quratulain aymen Khan Gyu Sang Choi Department of Computer Science University of Engineering&TechnologyTaxila47080Pakistan Faculty of Computing The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongbuk38541Korea

Brain tumors are considered as most fatal *** reduce the risk of death,early identification of the disease is *** of the best available methods to evaluate brain tumors is Magnetic resonance Images(MRI).Brain tumor detection and segmentation are tough as brain tumors may vary in size,shape,and *** makes manual detection of brain tumors by exploring MRI a tedious job for radiologists and doctors’.So an automated brain tumor detection and segmentation is *** work suggests a Region-based Convolution Neural Network(RCNN)approach for automated brain tumor identification and segmentation using MR images,which helps solve the difficulties of brain tumor identification efficiently and *** methodology is based on the accurate and efficient selection of tumorous *** reduces computational complexity and *** have validated the designed experimental setup on a standard dataset,BraTS *** used binary evaluation matrices based on Dice Similarity Coefficient(DSC)and Mean Average Precision(mAP).The segmentation results are compared with state-of-the-art methodologies to demonstrate the effectiveness of the proposed *** suggested approach attained an averageDSC of 0.92 andmAP 0.92 for 10 patients,while on the whole dataset,the scores are DSC 0.89 and mAP *** following results clearly show the performance efficiency of the proposed methodology.

关键词： Brain tumor MRI preprocessing image segmentation brain tumor localization medical ML RCNN BraTS 2020 LGG HGG