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Combination of.Paracetamol and the Glutathione Depleting Agent Buthionine Sulf.ximine Show Dif.erential Ef.ect on Liver Cancer Cells and Normal Hepatocytes

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Pharmacology & Pharmacy 2016年第11期7卷 443-458页

作者： Marwa E. Sayour Rania M. Abd El Salam Mohamed f. Elyamany Abeer M. El sayed Raaf.t A. El-Awady National Cancer Institute Cairo University Cairo Egypt Department of.Pharmacology & Toxicology Faculty of Pharmacy Cairo University Cairo Egypt Department of.Pathology National Cancer Institute Cairo University Cairo Egypt Sharjah Institute f.r Medical Research and College of.Pharmacy University of Sharjah Sharjah UAE

Background: Paracetamol exerts toxic ef.ects on liver cells through its metabolism into N-acetyl-p-benzoquinone imine (NAPQI), which is detoxif.ed by conjugation with cellular glutathione (GSH). Once GSH is depleted, NAPQI stimulates a range of.oxidative reactions that result in cell necrosis. The aim of.the present investigation is to f.nd a new strategy that would selectively protect normal hepatic tissues and sensitize liver cancer cells to the toxic ef.ects of.paracetamol or its metabolite. This may lead to the development of.a targeted therapy f.r liver cancer. Methods: The anti-prolif.rative ef.ects of.paracetamol and buthionine sulf.ximine BSO (a glutathione depleting agent) alone and in combination on the liver cancer cells HepG2 and normal rat hepatocytes were investigated by sulphorhodamine-B assay. Ef.ects on cell cycle regulation and induction of.apoptosis were tested by f.ow cytometry. The level of.prostaglandin expression was measured by ELISA. Results: The present study showed that both agents alone or in combination have anti-prolif.rative ef.ects on both cell types. Surprisingly, BSO showed a cytoprotective ef.ects on normal hepatocytes treated with high concentrations (1.75 and 2 mM) of.paracetamol. This was conf.rmed by cell cycle analysis that recorded decreased f.action of.sub-G1 cells indicating reduction of.apoptosis in normal hepatocytes. Analysis of.prostaglandin E2 revealed dif.erential ef.ects of.paracetamol on normal and liver cancer cells. A signif.cant increase in PGE2 level over the control was observed in normal hepatocytes whereas a signif.cant decrease was seen in HepG2 cells af.er treatment with paracetamol. Conclusion: These results indicate that combination of.paracetamol/BSO has dif.erential ef.ects on liver cancer cells and normal hepatocytes, which opens the avenue f.r a new ef.ective and selective combination f.r management of.liver cancer.

关键词： Paracetamol Buthionine Suf.ximine (BSO) Selective GSH Depletion HepG2 Prostaglandin E2 (PGE2)

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Ef.icient Deep CNN Model f.r COVID-19 Classif.cation

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Computers, Materials & Continua 2022年第3期70卷 4373-4391页

作者： Walid El-Shaf.i Amira A.Mahmoud El-sayed M.El-Rabaie Taha E.Taha Osama f.Zahran Adel S.El-f.shawy Mohammed Abd-Elnaby f.thi E.Abd El-Samie Department Electronics and Electrical Communications Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of.Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of.Inf.rmation Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh84428Saudi Arabia

Coronavirus(COVID-19)inf.ction was initially acknowledged as a global pandemic in Wuhan in *** Health Organization(WHO)stated that the COVID-19 is an epidemic that causes a 3.4%death *** X-Ray(CXR)and Computerized Tomography(CT)screening of.inf.cted persons are essential in diagnosis *** are numerous ways to identif. positive COVID-19 *** of.the f.ndamental ways is radiology imaging through CXR,or CT *** comparison of.CT and CXR scans revealed that CT scans are more ef.ective in the diagnosis process due to their high ***,automated classif.cation techniques are required to f.cilitate the diagnosis *** Learning(DL)is an ef.ective tool that can be utilized f.r detection and classif.cation this type of.medical *** deep Convolutional Neural Networks(CNNs)can learn and extract essential f.atures f.om dif.erent medical image *** this paper,a CNN architecture f.r automated COVID-19 detection f.om CXR and CT images is *** activation f.nctions as well as three optimizers are tested and compared f.r this *** proposed architecture is built f.om scratch and the COVID-19 image datasets are directly f.d to train *** perf.rmance is tested and investigated on the CT and CXR *** activation f.nctions:Tanh,Sigmoid,and ReLU are compared using a constant learning rate and dif.erent batch *** optimizers are studied with dif.erent batch sizes and a constant learning ***,a comparison between dif.erent combinations of.activation f.nctions and optimizers is presented,and the optimal conf.guration is ***,the main objective is to improve the detection accuracy of.COVID-19 f.om CXR and CT images using DL by employing CNNs to classif. medical COVID-19 images in an early *** proposed model achieves a classif.cation accuracy of.91.67%on CXR image dataset,and a classif.cation accuracy of.100%on CT dataset with training times of.58 min and 46 min on CXR an

关键词： COVID-19 image classif.cation CNN DL activation f.nctions optimizers

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Consensus statement on the epidemiology,diagnosis,prevention,and management of.cow's milk protein allergy in the Middle East:a modif.ed Delphi-based study

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World Journal of.Pediatrics 2021年第6期17卷 576-589页

作者： moustafa A.El-Hodhod Mortada H.f.El-Shabrawi Ahmed AIBadi Ahmed Hussein AM Almehaidib Basil Nasrallah Ebtsam Mohammed AIBassam Hala El f.ghali Hasan M.Isa Khaled Al Saraf.Maroun Sokhn Mehdi Adeli Najwa Mohammed Mousa Al-Sawi Pierre Hage Suleiman Al-Hammadi Department of.Pediatrics Faculty of MedicineAin Shams UniversityCairoEgypt f.culty of.Medicine October 6 UniversityGizaEgypt f.culty of.Medicine Cairo UniversityCairoEgypt International Pediatric Association(IPA) MarengoUSA International Society of.Tropical Pediatrics(ISTP) ManilaPhilippines DRC Hospital MuscatOman Al Amiri and Al Adan Hospitals KuwaitKuwait Pediatric Gastroenterology Department of PediatricsKing Faisal Specialist Hospital and Research Center RiyadhRiyadhSaudi Arabia American Hospital Dubai DubaiUnited Arab Emirates Nutrition Service Department King Faisal Specialist and Research Center RiyadhRiyadhSaudi Arabia CHU Notre Dame de Secours ByblosLebanon Pediatric Department Salmaniya Medical ComplexManamaBahrain Pediatric department Arabian Gulf UniversityManamaBahrain Pediatrics Department Dar Al Shifa HospitalKuwaitKuwait Pediatric Gastroenterology Hepatologyand Nutrition DepartmentSaint George University Medical CenterUniversity of BalamandBeirutLebanon Sidra Medicine DohaQatar Department of.Pediatrics Doctor Sulaiman Alhabib Medical GroupAlrryan BranchRiyadhSaudi Arabia Pediatric Pulmonology and Allergology University of BalamandBeirutLebanon College of.Medicine Mohanuned Bin Rashid University of Medicine and Health SciencesBuilding 14505055 DubaiUnited Arab Emirates

Background This study aimed to develop an expert consensus regarding the epidemiology,diagnosis,and management of.cow’s milk protein allergy(CMPA)in the Middle *** A three-step modif.ed Delphi method was utilized to develop the *** specialized pediatricians participated in the development of.this *** statement was considered a consensus if.it achieved an agreement level of.80%.Results The experts agreed that the double-blind placebo-controlled oral challenge test(OCT)should be perf.rmed f.r 2-A weeks using an amino acid f.rmula(AAf.in f.rmula-f.d inf.nts or children with suspected ***-f.d inf.nts with conf.rmed CMPA should be of.ered a therapeutic *** panel stated that an extensively hydrolyzed f.rmula(eHf.is indicated in the absence of.red f.ag *** the same time,the AAf.is of.ered f.r inf.nts with red f.ag signs,such as severe anaphylactic *** panel agreed that inf.nts on an eHf.with resolved symptoms within 2-4 weeks should continue the eHf.with particular attention to the growth and nutritional *** the other hand,an AAf.should be considered f.r inf.nts with persistent symptoms;the AAf.should be continued if.the symptoms resolve within 2-4 weeks,with particular attention to the growth and nutritional *** cases with no symptomatic improvements af.er the introduction of.an *** measures should be *** panel developed a management algorithm,which achieved an agreement level of.90.9%.Conclusion This consensus document combined the best available evidence and clinical experience to optimize the management of.CMPA in the Middle East.

关键词： Consensus Cow's milk protein allergy Inf.nt f.rmula Middle East Milk hypersensitivity

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An Improved Convolutional Neural Network Model f.r DNA Classif.cation

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Computers, Materials & Continua 2022年第3期70卷 5907-5927页

作者： Naglaa.f.Soliman Samia M.Abd-Alhalem Walid El-Shaf.i Salah Eldin S.E.Abdulrahman N.Ismaiel El-sayed M.El-Rabaie Abeer D.Algarni f.thi E.Abd El-Samie Department of.Inf.rmation Technology College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia Department of.Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt Department of.Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenoufia32952Egypt

Recently,deep learning(DL)became one of.the essential tools in bioinf.rmatics.A modif.ed convolutional neural network(CNN)is employed in this paper f.r building an integratedmodel f.r deoxyribonucleic acid(DNA)*** any CNN model,convolutional layers are used to extract f.atures f.llowed by max-pooling layers to reduce the dimensionality of.f.atures.A novel method based on downsampling and CNNs is introduced f.r f.ature *** downsampling is an improved f.rm of.the existing pooling layer to obtain better classif.cation *** two-dimensional discrete transf.rm(2D DT)and two-dimensional random projection(2D RP)methods are applied f.r *** convert the high-dimensional data to low-dimensional data and transf.rm the data to the most signif.cant f.ature ***,there are parameters which directly af.ect how a CNN model is *** this paper,some issues concerned with the training of.CNNs have been *** CNNs are examined by changing some hyperparameters such as the learning rate,size of.minibatch,and the number of.*** and assessment of.the perf.rmance of.CNNs are carried out on 16S rRNA bacterial *** results indicate that the utilization of.a CNN based on wavelet subsampling yields the best trade-of. between processing time and accuracy with a learning rate equal to 0.0001,a size of.minibatch equal to 64,and a number of.epochs equal to 20.

关键词： DNA classif.cation CNN downsampling hyperparameters DL 2D DT 2D RP

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Al-Biruni Based Optimization of.Rainf.ll f.recasting in Ethiopia

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Computer Systems Science & Engineering 2023年第6期45卷 2885-2899页

作者： El-sayed M.El-kenawy Abdelaziz A.Abdelhamid f.dwa Alrowais Mostaf. Abotaleb Abdelhameed Ibrahim Doaa Sami Khaf.ga Department of.Communications and Elecronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of.Computer Science F aculty of Computer and Infomation SciencesAin Shams UniversityCairo11566Egypt Department of.Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of.Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of.System Progamming South Ual State UniversityChelyabinsk454080Russia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Rainf.ll plays a signif.cant role in managing the water level in the *** unpredictable amount of.rainf.ll due to the climate change can cause either overf.ow or dry in the *** individuals,especially those in the agricultural sector,rely on rain *** rainf.ll is challenging because of.the changing nature of.the *** area of.Jimma in southwest Oromia,Ethiopia is the subject of.this research,which aims to develop a rainf.ll f.recasting *** estimate Jimma's daily rainf.ll,we propose a novel approach based on optimizing the parameters of.long short-term memory(LSTM)using Al-Biruni earth radius(BER)optimization algorithm f.r boosting the f.re-casting accuracy.N ash-Sutclif.e model ef.ciency(NSE),mean square error(MSE),root MSE(RMSE),mean absolute error(MAE),and R2 were all used in the conducted experiments to assess the proposed approach,with f.nal scores of.0.61),(430.81),(19.12),and(11.09),***,we compared the proposed model to current machine-learning regression models;such as non-optimized LSTM,bidirectional LSTM(BiLSTM),gated recurrent unit(GRU),and convolutional LSTM(ConvLSTM).It was f.und that the proposed approach achieved the lowest RMSE of.19.12).In addition,the experimental results show that the proposed model has R-with a value outperf.rming the other models,which conf.rms the superiority of.the proposed *** the other hand,a statistical analysis is perf.rmed to measure the signif.cance and stability of.the proposed approach and the recorded results proved the expected perf.mance.

关键词： Rainf.ll prediction long short-term memory Al-Biruni earth radius algorithm meta-heuristic optimization

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从能量和（?）的视角数值分析不同光伏/光热复合系统

从能量和（?）的视角数值分析不同光伏/光热复合系统

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作者：施琳穆斯塔法哈桑阿里（Sherin moustafa Hassan Ali sayed）华北电力大学(北京)

学位级别：硕士

太阳能不仅可以用来发电,还可为家庭生活提供热水,为住宅和工业建筑供热或供冷。因此,光伏/光热（PV/T）系统应运而生,通过光伏和光热的结合可以利用光伏模块产生的热能进行供热或提供生活热水,同时进一步提高光伏组件的发电效率。PV/T... 详细信息

太阳能不仅可以用来发电,还可为家庭生活提供热水,为住宅和工业建筑供热或供冷。因此,光伏/光热（PV/T）系统应运而生,通过光伏和光热的结合可以利用光伏模块产生的热能进行供热或提供生活热水,同时进一步提高光伏组件的发电效率。PV/T系统每单位面积产出的太阳能要比光伏面板和集热器单独产出的能量更多,效率更高,更适合应用于城市地区。本文的主要工作是通过数值模拟手段评估不同的空气冷却和玻璃覆盖方式对PV/T系统性能的影响。通过设计不同的PV/T结构,从能量和（?）的视角数值模拟分析了不同光伏/光热复合系统的性能。论文首先构建了 5种PV/T复合结构物理模型,在此基础上构建了数值模拟分析模型,采用ANALYS数值模拟软件进行了三维数值模拟。采用文献中的实验和模拟结果对数值模型进行了验证,进而从能量和（?）的视角对5种不同的配置进行了比较分析。所研究的5种物理结构分别为:带空气夹层的双玻璃盖板单通道冷却系统（PV/T-a）,带空气夹层的单玻璃盖板单通道冷却系统（PV/T-b）,双玻璃盖板双通道冷却系统（PV/T-c）,单玻璃盖板双通道冷却系统（PV/T-d）和单玻璃盖板单通道冷却系统（PV/T-e）。论文以中国北京8月某一天的气候条件为基础,并在空气质量流量为0.025 kg/s下分析比较了 5种PV/T复合系统的性能。研究结果表明,太阳辐射强度最大时,太阳能电池板的温度最高,风速和环境温度对太阳能电池板各层的影响最为显著。同等条件下双通道冷却结构的太阳能电池板最高温度大于单通道冷却结构,因为双通道冷却通过上下风道与PV电池层接触面积更大。在所有方案中,热效率对整体太阳能利用效率的影响最大,热效率越高,总能量利用率越高。在所有方案中,单玻璃盖板双通道冷却系统（PV/T-d）日平均总能量效率最高,可达85.07%。单玻璃盖板单通道冷却系统（PV/T-e）日平均发电效率最高,但热效率和总能量效率最低。无论是单通道结构还是双通道结构,去掉底部玻璃盖板均可提高整体的能量效率和（?）效率。通过在光伏组件上增加一个玻璃盖板,或者采用双通道冷却,整体能量效率会有所提高。

关键词：光伏/光热系统热效率 (?)效率数值模拟

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On the Product of.Integro Dif.erential Equations and Their Solutions in Direct Sum Spaces

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Journal of.Mathematics and System Science 2013年第5期3卷 231-245页

作者： Sobhy El-sayed Ibrahim College of.Basic Education Department of Mathematics Al-Ardiya area Kuwait

In this paper, we consider a general quasi-dif.erential expressions t1,t2 Tn, each of.order n with complex coef.icients and their f.rmal adjoints are t1＋,t2＋- x＋ on [0, b） respectively. We show in the direct sum spaces LZ（Ip）, p = 1,2 N of.f.nctions def.ned on each of.the separate intervals with the case of.one singular end-points and under suitable conditions on the f.nction f.that all solutions of.the product quasi-integro dif.erential equations are bounded and LZw -bounded on [0,b）.

关键词： Quasi-integro dif.erential equation product dif.erential expressions direct sum spaces bounded and square integrablesolutions.

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Screening f.r hepatocellular carcinoma by Egyptian physicians

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World Journal of.Gastrointestinal Oncology 2015年第9期7卷 161-171页

作者： Sahar M Hassany Ehab f.Abdou moustafa Mohamed El Taher Af.f.Adel Abdeltwab Hubert E Blum Department of.Tropical Medicine and Gastroenterology Assiut University Assiut Hospital f.r f.brile Illnesses Department of.Internal Medicine Ⅱ Freiburg University

AIM: To assess the practice of.Egyptian physicians in screening patients f.r hepatocellular carcinoma(HCC). METHODS: The study included 154 physicians f.om all over Egypt caring f.r patients at risk f.r HCC. The study was based on a questionnaire with 20 items. Each questionnaire consisted of.two parts:(1) personal inf.rmation regarding the physician(name, age, specialty and type of.health care setting); and(2) prof.ssional experience in the care of.patients at risk f.r HCC development(screening, knowledge about the cause and natural course of.liver diseases and HCC risk). RESULTS: Sixty-eight percent of.doctors with an MD degree, 48% of.doctors with a master degree or a diploma and 40% of.doctors with a Bachelor of.Medicine, Bachelor of.Surgery certif.cate considered the hepatitis C virus(HCV) genotype as risk f.ctor f.r HCC development(P f.physicians specialized in tropical medicine, internal medicine or gastroenterology and 67% of.physicians in other specialties advise patients to undergo screening f.r HCV and hepatitis B virus inf.ction as well as liver cirrhosis(P f.doctors in University Hospitals and 69% of.Ministry of.Health(MOH) doctors consider HCV inf.ction as the leading cause of.HCC in Egypt(P f.doctors with an MD degree, 55% of.doctors with a master degree or a diploma, 56% of.doctors with an MBBCH certif.cate, 74% of.doctors in University Hospitals and 46% of.MOH hospital doctors consider abdominal ultrasonography as the most important investigation in HCC screening(P f.ve percent of.physicians in tropical medicine, internal medicine or gastroenterology and 37% of.physicians in other specialties recommend as HCC screening interval of.3 mo(P f.doctors with an MD degree, 50% of.doctors with a master degree or diploma and 60% of.doctors with an MBBCH certif.cate f.llow the same ***: In Egypt, physicians spe

关键词： Hepatocellular carcinoma Egyptian physicians Scree

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f.cial Expression Recognition Model Depending on Optimized Support Vector Machine

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Computers, Materials & Continua 2023年第7期76卷 499-515页

作者： Amel Ali Alhussan f.tma M.Talaat El-sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Doaa Sami Khaf.ga Mona Alnaggar Department of.Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Machine Learning&Inf.rmation Retrieval Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt Department of.Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of.Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Department of.Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Robotics and Intelligent Machines Department Faculty of Artificial IntelligenceKafrelsheikh UniversityKafrelsheikh33516Egypt

In computer vision,emotion recognition using f.cial expression images is considered an important research *** learning advances in recent years have aided in attaining improved results in this *** to recent studies,multiple f.cial expressions may be included in f.cial photographs representing a particular type of.*** is f.asible and usef.l to convert f.ce photos into collections of.visual words and carry out global expression *** main contribution of.this paper is to propose a f.cial expression recognitionmodel(f.RM)depending on an optimized Support Vector Machine(SVM).To test the perf.rmance of.the proposed model(f.RM),Af.ectNet is *** uses 1250 emotion-related keywords in six dif.erent languages to search three major search engines and get over 1,000,000 f.cial photos *** f.RM is composed of.three main phases:(i)the Data preparation phase,(ii)Applying grid search f.r optimization,and(iii)the categorization *** discriminant analysis(LDA)is used to categorize the data into eight labels(neutral,happy,sad,surprised,f.ar,disgust,angry,and contempt).Due to using LDA,the perf.rmance of.categorization via SVM has been obviously *** search is used to f.nd the optimal values f.r hyperparameters of.SVM(C and gamma).The proposed optimized SVM algorithm has achieved an accuracy of.99%and a 98%f. score.

关键词： f.cial expression recognition machine learning linear dis-criminant analysis(LDA) support vector machine(SVM) grid search

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Hash Table Assisted Ef.icient f.le Level De-Duplication Scheme in SD-IoV Assisted Sensing Devices

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Intelligent Automation & Sof. Computing 2023年第10期38卷 83-99页

作者： Ghawar Said Ata Ullah Anwar Ghani Muhammad Azeem Khalid Yahya Muhammad Bilal sayed Chhattan Shah Department of.Computer Science International Islamic UniversityIslamabad44000Pakistan Department of.Computer Science National University of Modern LanguagesIslamabad44000Pakistan Department of.Electrical and Electronics Engineering Nisantasi UniversityIstanbul34467Turkey Department of.Computer Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea Department of.Inf.rmation and Communication Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea

The Internet of.Things(IoT)and cloud technologies have encouraged massive data storage at central ***-def.ned networks(SDN)support the processing of.data and restrict the transmission of.duplicate *** is necessary to use a data de-duplication mechanism to reduce communication costs and storage *** State of.the art schemes suf.er f.om computational overhead due to deterministic or random tree-based tags generation which f.rther increases as the f.le size *** paper presents an ef.icient f.le-level de-duplication scheme(Ef.S)where the cost of.creating tags is reduced by employing a hash table with key-value pair f.r each block of.the ***,an algorithm f.r hash table-based duplicate block identif.cation and storage(HDBIS)is presented based on f.ngerprints that maintain a linked list of.similar duplicate blocks on the same *** tables normally have a consistent time complexity f.r lookup,generating,and deleting stored data regardless of.the input *** experiential results show that the proposed Ef.S scheme perf.rms better compared to its counterparts.

关键词： Hash table de-duplication linked list IoT sensing devices

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