检索结果-南通市图书馆

Novel design of a compact tunable dual band wireless power transfer(TDB-WPT)system for multiple WPT applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Information Technology & Electronic Engineering 2024年第4期25卷 616-628页

作者： Hany A.ATALLAH rasha Hussein AHMED Adel B.ABDEL-RAHMAN Department of Communications and Electronics Faculty of EngineeringSouth Valley UniversityQena 83523Egypt Egypt-Japan University of Science and Technology Alexandria 21934Egypt

In this study we present the design and realization of a tunable dual band wireless power transfer(TDB-WPT)coupled resonator *** frequency response of the tunable band can be controlled using a surface-mounted *** transmitter(Tx)and the receiver(Rx)circuits are *** top layer contains a feed line with an impedance of 50Ω.Two identical half rings defected ground structures(HR-DGSs)are loaded on the bottom using a varactor *** propose a solution for restricted WPT systems working at a single band application according to the operating *** effects of geometry,orientation,relative distance,and misalignments on the coupling coefficients were *** validate the simulation results,the proposed TDB-WPT system was fabricated and *** system occupied a space of 40 mm×40 *** can deliver power to the receiver with an average coupling efficiency of 98%at the tuned band from 817 to 1018 MHz and an efficiency of 95%at a fixed band of 1.6 GHz at a significant transmission distance of 22 *** results of the measurements accorded well with those of an equivalent model and the simulation.

关键词： Defected ground structure(DGS) Surface-mounted Tunable dual band wireless power transfer(TDB-WPT) Varactor

SwinVid:Enhancing Video Object Detection Using Swin Transformer

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 2024年第2期48卷 305-320页

作者： Abdelrahman Maharek Amr Abozeid rasha Orban Kamal ElDahshan Computer Science Department Faculty of Artificial Intelligence and InformaticsBenhaEgypt Mathematics Department Faculty of SciencesAl-Azhar UniversityCairoEgypt Department of Computer Science College of Science and Arts in QurayyatJouf UniversitySakakaSaudi Arabia

What causes object detection in video to be less accurate than it is in still images?Because some video frames have degraded in appearance from fast movement,out-of-focus camera shots,and changes in *** reasons have made video object detection(VID)a growing area of research in recent *** object detection can be used for various healthcare applications,such as detecting and tracking tumors in medical imaging,monitoring the movement of patients in hospitals and long-term care facilities,and analyzing videos of surgeries to improve technique and ***,it can be used in telemedicine to help diagnose and monitor patients *** VID techniques are based on recurrent neural networks or optical flow for feature aggregation to produce reliable features which can be used for *** of those methods aggregate features on the full-sequence level or from nearby *** create feature maps,existing VID techniques frequently use Convolutional Neural Networks(CNNs)as the backbone *** the other hand,Vision Transformers have outperformed CNNs in various vision tasks,including object detection in still images and image *** propose in this research to use Swin-Transformer,a state-of-the-art Vision Transformer,as an alternative to CNN-based backbone networks for object detection in *** proposed architecture enhances the accuracy of existing VID *** ImageNet VID and EPIC KITCHENS datasets are used to evaluate the suggested *** have demonstrated that our proposed method is efficient by achieving 84.3%mean average precision(mAP)on ImageNet VID using less memory in comparison to other leading VID *** source code is available on the website https://***/amaharek/SwinVid.

关键词： Video object detection vision transformers convolutional neural networks deep learning

Arrhythmia Detection by Using Chaos Theory with Machine Learning Algorithms

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2024年第6期79卷 3855-3875页

作者： Maie Aboghazalah Passent El-kafrawy Abdelmoty M.Ahmed rasha Elnemr Belgacem Bouallegue Ayman El-sayed Math and Computer Science Department Faculty of ScienceMenoufia UniversityShebin El-komEgypt College of Engineering Computer Science DepartmentEffat UniversityJeddahKingdom of Saudi Arabia Department of Computer Engineering College of Computer ScienceKing Khalid UniversityAbha61421Saudi Arabia Computer Science and Engineering Department Faculty of Electronic EngineeringMenoufia UniversityShebin El-komEgypt Climate Change Information Center and Expert Systems Agriculture Research CenterGizaEgypt

Heart monitoring improves life ***(ECGs or EKGs)detect heart *** learning algorithms can create a few ECG diagnosis processing *** first method uses raw ECG and time-series *** second method classifies the ECG by patient *** third technique translates ECG impulses into Q waves,R waves and S waves(QRS)features using richer *** ECG signals vary naturally between humans and activities,we will combine the three feature selection methods to improve classification accuracy and *** using all three approaches have not been examined till *** researchers found that Machine Learning(ML)techniques can improve ECG *** study will compare popular machine learning techniques to evaluate ECG *** algorithms—Support Vector Machine(SVM),Decision Tree,Naive Bayes,and Neural Network—compare categorization *** plus prior knowledge has the highest accuracy(99%)of the four ML *** characteristics failed to identify signals without chaos *** 99.8%classification accuracy,the Decision Tree technique outperformed all previous experiments.

关键词： ECG extraction ECG leads time series prior knowledge and arrhythmia chaos theory QRS complex analysis machine learning ECG classification

多用途新颖紧凑可调谐双频无线电能传输系统设计（英文）

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Frontiers of Information Technology & Electronic Engineering 2024年第4期 616-629页

作者： Hany A.ATALLAH rasha Hussein AHMED Adel B.ABDEL-RAHMAN 南谷大学工程学院通信与电子学系埃及-日本科技大学

本文设计并实现了一个可调谐双频无线电能传输耦合谐振器系统。可调谐波段的频率响应可以使用表面贴装变容二极管进行控制。发射器和接收器电路是对称的。顶层包含一个阻抗为50Ω的馈线。通过使用变容二极管，两个相同的半环缺陷接地结... 详细信息

本文设计并实现了一个可调谐双频无线电能传输耦合谐振器系统。可调谐波段的频率响应可以使用表面贴装变容二极管进行控制。发射器和接收器电路是对称的。顶层包含一个阻抗为50Ω的馈线。通过使用变容二极管，两个相同的半环缺陷接地结构被加载在底部。针对工作在单频段（基于工作频率）的受限无线电能传输系统，提出一种解决方案。研究了几何形状、方向、相对距离和偏移对耦合系数的影响。为验证仿真结果，制作并测试了所提可调谐双频无线电能传输系统。系统面积为40 mm×40 mm。在有效传输距离为22 mm时，在817～1018 MHz调谐频段，以98%的平均耦合效率向接收器输送电能，在1.6GHz固定频段，效率为95%。测量结果与等效模型的模拟结果吻合较好。

关键词：缺陷接地结构表面贴装可调谐双频无线电能传输变容二极管

Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Information and Intelligence 2024年第3期2卷 261-285页

作者： Hoang Nguyen Dina Nawara rasha Kashef Departnent of Electrical Computerand Biomedical EngineeringToronto Metropolitan UniveristyToronto M5B 2K3Canada

The pace of society development is faster than ever before,and the smart city paradigm has also emerged,which aims to enable citizens to live in more sustainable cities that guarantee well-being and a comfortable living *** has been done by a network of new technologies hosted in real time to track the activities and provide smart solutions for the incoming requests or problems of the *** of the most often used methodologies for creating a smart city is the Internet of Things(loT).Therefore,the IoT-enabled smart city research topic,which consists of many different domains such as transportation,healthcare,and agriculture,has recently attracted increasing attention in the research ***,advances in artificial intelligence(Al)significantly contribute to the growth of *** this paper,we first present the smart city concept,the background of smart city development and the components of the IoT-based smart *** is followed up by a literature review of the research literature on the most recent IoT-enabled smart cities developments and breakthroughs empowered by AI techniques to highlight the current stage,major trends and unsolved challenges of adopting Al-driven IoT technologies for the establishment of desirable smart ***,we summarize the paper with a discussion of future research to provide recommendations for research direction in the smart city domain.

关键词： Smart city Internet of Things Artificial intelligence Machine learning Deep learning

Correlation between DKK-1 Level and Bone Density Status in Children on Maintenance Haemodialysis

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Open Journal of Nephrology 2024年第1期14卷 48-61页

作者： Manal Abd El-Salam Marwa Mohamed Anwar rasha Mahmoud Gouda Naglaa Abou El Fattah Nadia Youssef Riad Department of Pediatrics Faculty of Medicine (For Girls) Al-Azhar University Cairo Egypt Department of Internal Medicine Faculty of Medicine (For Girls) Al-Azhar University Cairo Egypt Department of Clinical Pathology National Heart Institute Cairo Egypt

Background: Renal osteodystrophy (ROD) is a bone disorder resulting from chronic kidney disease (CKD) and related metabolic diseases. Dickkopf-related protein-1 (DKK-1) is critical in regulating bone biology. This study aimed to evaluate the serum DKK-1 level as a bone marker in children with CKD who undergo regular hemodialysis (HD). Subjects and Methods: This case-control study involved 40 children with CKD on HD and 40 healthy children as controls. The study measured serum DKK-1 levels and performed a dual-energy X-ray absorptiometry scan (DEXA) in line with routine laboratory investigations. Results: There was a significant increase in the serum level of DKK-1 in the patient group compared to the control group. The DKK-1 levels were 2540.65 (2215.4 - 2909.2) pg/ml and 1110.45 (885.45 - 1527.65) pg/ml, respectively, with a p-value of less than 0.001. In the hemodialysis group, 25 patients (62.5%) had low bone mineral density (BMD) with a Z-score of under -2.0. Eighteen of these patients had low BMD in both the neck of the femur and lumbar spines. Additionally, there was a significant increase in serum DKK-1 level in patients with low BMD (2567.35 (2303.8 - 3108.1) pg/ml) compared to patients with normal BMD (2454 (1859 - 2820) pg/ml) (p = 0.041). There was also a significant positive correlation between DKK1 level and phosphorus, alkaline phosphatase, and Parathormone serum levels. In conclusion, the study indicates a clear correlation between DKK-1 and BMD in children undergoing maintenance hemodialysis. DKK1 is a promising biomarker for CKD-MBD.

关键词： DKK-1 Children Haemodialysis Bone Density Status

Practical approach to linear endoscopic ultrasound examination of the gallbladder

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 Radiology 2024年第6期16卷 184-195页

作者： Hussein Hassan Okasha Eyad Gadour Hassan Atalla Omar AbdAllah AbdEl-Hameed Reem Ezzat Ahmed Elsayed Alzamzamy Elsayed Ghoneem rasha Ahmad Matar Zeinab Hassan Bogdan Miutescu Ayman Qawasmi Katarzyna M Pawlak Ahmed Elmeligui Department of Internal Medicine Division of Gastroenterology and HepatologyKasr Al-Aini School of MedicineCairo UniversityCairo 11562Egypt Department of Gastroenterology and Hepatology King Abdulaziz Hospital-National GuardAhsa 31982Saudi Arabia Department of Medicine School of MedicineZamzam University CollegeKhartoum 11113Sudan Department of Internal Medicine Hepatology and Gastroenterology UnitFaculty of MedicineMansoura UniversityMansoura 35516Egypt Department of Internal Medicine Faculty of MedicineAssiut UniversityAssiut 71511Egypt Department of Gastroenterology and Heptology Maadi Armed Forces Medical ComplexMilitary Medical AcademyCairo 11728Egypt Department of Gastroenterology and Advance Endoscopy Sultant Qaboos Comprehensive Cancer Care and Research CentreMuscat 0961Oman Department of Internal Medicine Stockport Hospitals NHS Foundation TrustManchester SK27JEUnited Kingdom Department of Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 300041Romania Advanced Regional Research Centre in Gastroenterology and Hepatology Victor Babes University of Medicine and PharmacyTimisoara 30041Romania Department of Gastroenterology Al-Makassed Islamic Charitable Society HospitalCairo 11124Egypt Division of Gastroenterology St.Michael’s HospitalUniversity of TorontoToronto M5B 1W8Canada Department of Gastroenterology Southend University HospitalEssex SS26XTUnited Kingdom

The gallbladder(GB)is a susceptible organ,prone to various pathologies that can be identified using different imaging *** ultrasound(TUS)is typically the initial diagnostic method due to its numerous well-established ***,in cases of uncertainty or when a definitive diagnosis cannot be established,computed tomography(CT)or magnetic resonance imaging may be employed to provide more detailed ***,CT scans may sometimes offer inadequate spatial resolution,which can limit the differentiation of GB lesions,particularly when smaller yet clinically relevant abnormalities are ***,endoscopic ultrasound(EUS)provides higher frequency compared to TUS,superior spatial resolution,and the option for contrast-enhanced harmonic imaging,enabling a more comprehensive ***,EUS can serve as a supplementary tool when conventional imaging methods are *** review will describe the standard EUS examination of the GB,focusing on its endosonographic characteristics in various GB path-ologies.

关键词： Endoscopic ultrasound Linear endoscopic ultrasound Gallbladder anatomy Gallbladder pathologies Therapeutic endoscopic ultrasound

Insight into appropriate medication prescribing for elderly in the COVID-19 era

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 Clinical Cases 2022年第32期10卷 12056-12058页

作者： Amr S Omar rasha Kaddoura Department of Cardiothoracic Surgery Hamad Medical CoporationDoha 3050Qatar Department of Critical Care Medicine Beni Suef Faculty of MedicineBeni Suef 62511Egypt Department of Medicine Weill Cornell Medical Center in QatarDoha 3050Qatar Department of Pharmacy Heart HospitalHamad Medical CorporationDoha 3050Qatar

Coronavirus disease 2019(COVID-19)complicates clinical management in elderly *** is an additional need to properly treat and monitor elderly COVID-19 *** paper discusses the inappropriate medication prescribing in the... 详细信息

关键词： Atrial fibrillation Beta blockers COVID-19 Elderly

Hybrid Deep Learning Based Attack Detection for Imbalanced Data Classification

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第1期35卷 297-320页

作者： rasha Almarshdi Laila Nassef Etimad Fadel Nahed Alowidi Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computer Science and EngineeringUniversity of HailHailSaudi Arabia

Internet of Things(IoT)is the most widespread and fastest growing technology *** to the increasing of IoT devices connected to the Internet,the IoT is the most technology under security *** IoT devices are not designed with security because they are resource constrained ***,having an accurate IoT security system to detect security attacks is *** Detection Systems(IDSs)using machine learning and deep learning techniques can detect security attacks *** paper develops an IDS architecture based on Convolutional Neural Network(CNN)and Long Short-Term Memory(LSTM)deep learning *** implement our model on the UNSW-NB15 dataset which is a new network intrusion dataset that cate-gorizes the network traffic into normal and attacks *** this work,interpolation data preprocessing is used to compute the missing ***,the imbalanced data problem is solved using a synthetic data generation *** experiments have been implemented to compare the performance results of the proposed model(CNN+LSTM)with a basic model(CNN only)using both balanced and imbalanced ***,with some state-of-the-art machine learning classifiers(Decision Tree(DT)and Random Forest(RF))using both balanced and imbalanced *** results proved the impact of the balancing *** proposed hybrid model with the balance technique can classify the traffic into normal class and attack class with reasonable accuracy(92.10%)compared with the basic CNN model(89.90%)and the machine learning(DT 88.57%and RF 90.85%)***,comparing the proposed model results with the most related works shows that the proposed model gives good results compared with the related works that used the balance techniques.

关键词： IoT IDS deep learning machine learning CNN LSTM