检索结果-南通市图书馆

Digital Twin-Based Automated Fault Diagnosis in Industrial IoT Applications

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第4期75卷 183-196页

作者： samah Alshathri Ezz El-Din Hemdan Walid El-Shafai Amged sayed Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Security Engineering LabPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Department of Electrical Energy Engineering College of Engineering&TechnologyArab Academy for Science Technology&Maritime TransportSmart Village CampusEgypt

In recent years, Digital Twin (DT) has gained significant interestfrom academia and industry due to the advanced in information technology,communication systems, Artificial Intelligence (AI), Cloud Computing (CC),and Industrial Internet of Things (IIoT). The main concept of the DT isto provide a comprehensive tangible, and operational explanation of anyelement, asset, or system. However, it is an extremely dynamic taxonomydeveloping in complexity during the life cycle that produces a massive amountof engendered data and information. Likewise, with the development of AI,digital twins can be redefined and could be a crucial approach to aid theInternet of Things (IoT)-based DT applications for transferring the data andvalue onto the Internet with better decision-making. Therefore, this paperintroduces an efficient DT-based fault diagnosis model based on machinelearning (ML) tools. In this framework, the DT model of the machine isconstructed by creating the simulation model. In the proposed framework,the Genetic algorithm (GA) is used for the optimization task to improvethe classification accuracy. Furthermore, we evaluate the proposed faultdiagnosis framework using performance metrics such as precision, accuracy,F-measure, and recall. The proposed framework is comprehensively examinedusing the triplex pump fault diagnosis. The experimental results demonstratedthat the hybrid GA-ML method gives outstanding results compared to MLmethods like LogisticRegression (LR), Na飗e Bayes (NB), and SupportVectorMachine (SVM). The suggested framework achieves the highest accuracyof 95% for the employed hybrid GA-SVM. The proposed framework willeffectively help industrial operators make an appropriate decision concerningthe fault analysis for IIoT applications in the context of Industry 4.0.

关键词： Automated fault diagnosis control system ML AI CC IIoT digital twins genetic algorithm GA-ML technique

An Efficient Intrusion Detection Framework for Industrial Internet of Things Security

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第7期46卷 819-834页

作者： samah Alshathri Ayman El-sayed Walid El-Shafai Ezz El-Din Hemdan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science and Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

Recently,the Internet of Things(IoT)has been used in various applications such as manufacturing,transportation,agriculture,and healthcare that can enhance efficiency and productivity via an intelligent management console *** the increased use of Industrial IoT(IIoT)applications,the risk of brutal cyber-attacks also *** leads researchers worldwide to work on developing effective Intrusion Detection Systems(IDS)for IoT infrastructure against any malicious ***,this paper provides effective IDS to detect and classify unpredicted and unpredictable severe attacks in contradiction to the IoT infrastructure.A comprehensive evaluation examined on a new available benchmark TON_IoT dataset is *** data-driven IoT/IIoT dataset incorporates a label feature indicating classes of normal and attack-targeting IoT/IIoT ***,this data involves IoT/IIoT services-based telemetry data that involves operating systems logs and IoT-based traffic networks collected from a realistic medium-scale IoT *** is to classify and recognize the intrusion activity and provide the intrusion detection objectives in IoT environments in an efficient ***,several machine learning algorithms such as Logistic Regression(LR),Linear Discriminant Analysis(LDA),K-Nearest Neighbors(KNN),Gaussian Naive Bayes(NB),Classification and Regression Tree(CART),Random Forest(RF),and AdaBoost(AB)are used for the detection intent on thirteen different intrusion *** performance metrics like accuracy,precision,recall,and F1-score are used to estimate the proposed *** experimental results show that the CART surpasses the other algorithms with the highest accuracy values like 0.97,1.00,0.99,0.99,1.00,1.00,and 1.00 for effectively detecting the intrusion activities on the IoT/IIoT infrastructure on most of the employed *** addition,the proposed work accomplishes high performance compared to other recent rela

关键词： Attacks intrusion detection machine learning deep learning industrial IoT TON_IoT dataset

Safety and effi cacy of hepatitis A vaccine in children with chronic liver diseas

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

World Journal of Gastroenterology 2006年第45期12卷 7337-7340页

作者： Hanaa Mostafa El-Karaksy Manal Ismail El-Hawary Nehal Mohammad El-Koofy Rokaya El-sayed Mona Al-Saeed El-Raziky samah Asaad Mansour Gamal Mohammad Taha Fatma El-Mougy Department of Pediatrics Cairo University Egypt Department of Pediatrics Fayoum University Egypt Department of Pediatrics Beni-Swaif University Egypt Department of Chemical Pathology Cairo University Egypt

AIM： To study the safety and efficacy of hepatitis A vaccine （HAV） in children with chronic liver disease of various etiologies. METHODS： Eleven children with chronic liver disease and thirteen age- and sex-matched controls negative for HAV antibodies were vaccinated against hepatitis A after they gave their informed consent. Children with uncontrolled coagulopathy or signs of hepatic decompensation were excluded. The vaccine （Havrix： 720 ELISA units in 0.5 mL, from GlaxoSmithKline Biologicals） was given intramuscularly in the deltoid in 2 doses 6 mo apart. Children were tested for HAV antibodies one and six months after the ist dose and one month after the 2^nd dose. Total serum bilirubin, alanine aminotransferase （ALT）, and aspartate aminotransferase （AST） were determined immediately before and after one month of the 1st dose of the vaccine. RESULTS： Only 7 out of the 11 patients were positive for HAV antibodies after the 1^st dose of the vaccine, as compared to 100% of the controls. One month after the 2nd dose, all patients tested were positive for HAV antibodies. No deterioration in liver functions of patients was noted after vaccination. No adverse events, immediate or late, were reported by the mothers after each dose of the vaccine. CONCLUSION： Hepatitis A vaccine is both safe and effective in this small studied group of children with chronic liver disease. Given the high seroconversion rate, post-vaccination testing for HAV antibodies is not needed.

关键词： Children Chronic liver disease Hepatitis A Hepatitis A vaccine

不同膳食油源对淡水鱼类生长性能，脂肪酸组成和HUFA生物合成的影响

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

不同膳食油源对淡水鱼类生长性能，脂肪酸组成和HUFA生物合成的影...

作者： samah Ahmed Mohamed sayed Nassar（萨玛）华中农业大学

学位级别：硕士

鱼油(FO)被认为是水产饲料行业中最优质的脂肪酸源。鱼油高度富含n-3长链多不饱和脂肪酸(n-3 LC-PUFA),尤其是二十碳五烯酸和二十二碳六烯酸(22:6n-3,DHA)。但是随着鱼油资源的日益匮乏与价格的上涨,植物油被考虑用于替代鱼类饲料中的FO... 详细信息

鱼油(FO)被认为是水产饲料行业中最优质的脂肪酸源。鱼油高度富含n-3长链多不饱和脂肪酸(n-3 LC-PUFA),尤其是二十碳五烯酸和二十二碳六烯酸(22:6n-3,DHA)。但是随着鱼油资源的日益匮乏与价格的上涨,植物油被考虑用于替代鱼类饲料中的FO.我们的目标是通过饲喂富含α-亚麻酸或亚油酸的植物油作为FO的替代品来提高淡水鱼的营养价值。第一项研究致力于检测不同的脂肪源对尼罗罗非鱼(Oreochromis niloticus)生长性能,组织脂肪酸组成,血清参数以及与脂质代谢相关基因表达的影响。罗非鱼(13.15±1.11g)被喂养四种具有不同脂肪酸的等氮(39.5±0.4%)和等脂浓度(10%)的饲料,其中包括鱼油组(对照组),大豆油(SO),亚麻芥油(CO)以及三种脂肪酸等比混合组(MO),每组三个重复,20尾鱼/缸。我们的结果显示,膳食中的脂肪源有效的反映在了肝脏和肌肉的脂肪酸组成中。CO组肌肉组织表现出n-3系列脂肪酸的增加,尤其是18:3n-3和DHA,同时伴随着n-6系列脂肪酸的减少。另外我们也发现SO组肝脏的脂质含量最高,而饲喂FO和CO组的肌肉脂质含量最高。CO和MO组的血清低密度脂蛋白(LDL)浓度随多不饱和脂肪酸的增加而降低。这些结果表明,饲料中的亚麻芥油可以满足罗非鱼对n-3LC-PUFA的需要,有效替代饲料中的鱼油并提高罗非鱼的营养价值。此外,第二项研究旨在研究饲料中植物油替代鱼油对鱼类PUFA的体内合成及调控机制的影响。斑马鱼可以通过脂肪酸延长酶(Elovls)和脂肪酸去饱和酶(Fads)合成PUFA。鱼类elovl2基因已经被报道,并通过酵母异源表达对其功能进行了探究。哺乳动物中Elovl2可以有效的延长C20和C22 PUFA,对C18 PUFA的活性较低或无活性,这与我们在斑马鱼中观察相似。我们用CO和SO饲料对elovl2敲除(KO)和野生型(WT)斑马鱼进行了为期4周的投喂实验。正如预期的那样,与WT相比,elovl2 KO斑马鱼显示出C20:5n-3、C22:5n-3和C20:4n-6的含量的升高,伴随着DHA水平的下降.我们发现肝脏受损的PUFA合成影响了关键的脂质生成转录调节剂固醇调节元件结合蛋白1c(srebf1)的表达水平。因此,这项研究表明,elovo2对斑马鱼肝脏,肌肉和性腺中DHA的合成起到至关重要的作用。

关键词：植物油饲料配方基因表达肌肉脂肪酸组成营养需求基因敲除尼罗罗非鱼

Antifungal and Cytotoxic Activities of Biosynthesized Silver, Zinc and Gold Nanoparticles by Flower Extract of <i>Rhanterium epapposum</i>

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

Open Journal of Applied Sciences 2020年第11期10卷 663-674页

作者： Mohammed S. J. Al Qhtani samah A. El-Debaiky Mahmoud sayed Department of Biology Faculty of Science King Khalid University Abha Saudi Arabia Department of Botany and Microbiology Faculty of Science Tanta University Tanta Egypt Department of Physics Faculty of Science King Khalid University Abha Saudi Arabia Department of Physics Faculty of Science Al Azhar University Assiut Egypt

This study was designed to prepare silver, zinc and gold nanoparticles (NPs), AgNPs, ZnNPs and AuNPs, by biosynthesis technique using methanolic extract of Rhanterium epapposum flowers using AgNO3, Zn (CH3CO2)2 and HAuCl4·3H2O as starting materials. The physical properties of the formed NPs were characterized by ultraviolet spectroscopy (UV), X-ray diffraction (XRD), transmission electron microscopy and Fourier transformed infrared spectroscopy (FTIR). The results revealed that, AgNPs were homogeneous and spherical in shape, with average diameter 16.3 nm. While, ZnNPs were approximately triangle and hexagonal shaped, with average diameter 23.5 nm. Most of the synthesized AuNPs were spherical in shape with average diameter 17.9 nm. The antifungal activity of different concentrations of the formed AgNPs, ZnNPs and AuNPs was tested against two human pathogens: Candida albicans and Aspergillus melleus