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A New Coprime-Array-Based Configuration with Augmented Degrees of Freedom and Reduced mutual Coupling

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A New Coprime-Array-Based Configuration with Augmented Degre...

作者： nabil Yousef Saleh mohsen 华南理工大学

学位级别：硕士

论文提出了一种基于互质原理的阵列结构NOCA,NOCA可以获得更高的可达自由度和更弱的耦合。在原始互质阵列的基础上,NOCA采用一般化的平移策略,其阵元位置和可达自由度均可以用闭式表达式描述。特别的,NOCA采用简单的LN个单位的平移,其... 详细信息

论文提出了一种基于互质原理的阵列结构NOCA,NOCA可以获得更高的可达自由度和更弱的耦合。在原始互质阵列的基础上,NOCA采用一般化的平移策略,其阵元位置和可达自由度均可以用闭式表达式描述。特别的,NOCA采用简单的LN个单位的平移,其可达自由度为2（++-1）+1,当=?+12?时,可达自由度取最大值。此外,当阵列再额外移动m个单位时,自由度可以再增加2m,即达到2（++2-1）+1。另一方面,自由度的增加意味着虚拟阵元的分布区间更加宽广,因此,共用一个差分下标值得虚拟阵元数将变少,从而虚拟阵元的权值将变小,应对耦合效应时阵列性能将更稳健。最后,论文通过大量仿真对提出的NOCA和现有的阵列结构进行了比较。仿真结果表明,在采用同样数目的物理阵元的条件下,NOCA比现有的同类结构具有更高的可达自由度,从而NOCA具备更高的分辨率以及更高的精确性。在存在耦合的情况下,仿真结果表明,NOCA具有比现有同类阵列更稳健的性能。

关键词：稀疏阵列互质阵列嵌套阵列差分阵列 DoA估计耦合

Hepatopulmonary Syndrome and Liver Transplantation:A Recent Review of the Literature

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Journal of Clinical and Translational Hepatology 2016年第1期4卷 47-53页

作者： Caglar Cosarderelioglu Arif m.Cosar merve Gurakar nabil N.Dagher Ahmet Gurakar Johns Hopkins University School of medicine Department of Gastroenterology/Hepatology Baltimore MD USA Virginia Commonwealth University School of medicine Richmond VA USA Johns Hopkins University School of medicine Department of Surgery/Liver Transplant Baltimore MD USA

A severe and common pulmonary vascular complication of liver disease is hepatopulmonary syndrome (HPS).It is a triad of liver dysfunction and/or portal hypertension,intrapulmonary vascular dilatations,and increased alveolar-arterial oxygen *** varies according to various study groups from 4%-47%.While the most common presenting symptom of HPS is dyspnea,it is usually asymptomatic,and thus all liver transplant candidates should be screened for its *** oximetry is a useful screening method,but arterial blood gas examination is the gold *** there is an abnormal P (A-a)O2 gradient,microbubble transthoracic echocardiography should be done for *** is unpredictable,and there is currently no effective medical *** only effective therapy is considered to be liver *** resolution of HPS after liver transplantation is seen within a year in most HPS patients.

关键词： Hepatopulmonary syndrome Pulmonary complications of cirrhosis Liver transplantation

Unmanned Aerial Vehicle Assisted Forest Fire Detection Using Deep Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第3期35卷 3259-3277页

作者： A.K.Z Rasel Rahman S.m.nabil Sakif Niloy Sikder mehedi masud Hanan Aljuaid Anupam Kumar Bairagi Computer Science and Engineering Discipline Khulna UniversityKhulna 9208Bangladesh Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif 21944Saudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman University(PNU)Riyadh 11671Saudi Arabia

Disasters may occur at any time and place without little to no presage in *** the development of surveillance and forecasting systems,it is now possible to forebode the most life-threatening and formidable ***,forestﬁres are among the ones that are still hard to anticipate beforehand,and the technologies to detect and plot their possible courses are still in *** Aerial Vehicle(UAV)image-basedﬁre detection systems can be a viable solution to this ***,these automatic systems use advanced deep learning and image processing algorithms at their core and can be tuned to provide accurate ***,this article proposed a forestﬁre detection method based on a Convolutional Neural Network(CNN)architecture using a newﬁre detection ***,our method also uses separable convolution layers(requiring less computational resources)for immediateﬁre detection and typical convolution ***,making it suitable for real-time ***,after being trained on the dataset,experimental results show that the method can identify forestﬁres within images with a 97.63%accuracy,98.00%F1 Score,and 80%***,if deployed in practical circumstances,this identiﬁcation method can be used as an assistive tool to detectﬁre outbreaks,allowing the authorities to respond quickly and deploy preventive measures to minimize damage.

关键词： Forestﬁre detection UAV CNN machine learning

Swarming Behavior of Harris Hawks Optimizer for Arabic Opinion mining

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Computers, materials & Continua 2021年第12期69卷 4129-4149页

作者： Diaa Salam Abd Elminaam nabil Neggaz Ibrahim Abdulatief Ahmed Ahmed El Sawy Abouelyazed Department of Information Systems Faculty of Computers and Artificial IntelligenceBenha University12311Egypt Department of Computer Science Faculty of Computer ScienceMisr International UniversityEgypt Universite des Sciences at de la Technologie d’Oran mohamed Boudiaf USTO-MBBP 1505EL M’naouer31000 OranLaboratoire Signal Image Parole(SIMPA)Department d’informatiqueFaculte des Mathematiques et InformatiqueAlgerie Department of Computer Science Faculty of Computers and Artificial IntelligenceBenha University12311Egypt Department of Computer Science Obour High Institute for Computers and InformaticsEgypt

At present,the immense development of social networks allows generating a significant amount of textual data,which has facilitated researchers to explore the field of opinion *** addition,the processing of textual opinions based on the term frequency-inverse document frequency method gives rise to a dimensionality *** study aims to detect the nature of opinions in the Arabic language employing a swarm intelligence(SI)-based algorithm,Harris hawks algorithm,to select the most relevant *** experimental study has been tested on two datasets:Arabic Jordanian General Tweets and Opinion Corpus for *** terms of accuracy and number of features,the results are better than those of other SI based algorithms,such as grey wolf optimizer and grasshopper optimization algorithm,and other algorithms in the literature,such as differential evolution,genetic algorithm,particle swarm optimization,basic and enhanced whale optimizer algorithm,slap swarm algorithm,and ant–lion optimizer.

关键词： Arabic opinion mining Harris hawks optimizer feature selection AJGT and OCA datasets

IoT-Driven Optimal Lightweight RetinaNet-Based Object Detection for Visually Impaired People

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Computer Systems Science & Engineering 2023年第7期46卷 475-489页

作者： mesfer Alduhayyem mrim m.Alnfiai nabil Almalki Fahd N.Al-Wesabi Anwer mustafa Hilal manar Ahmed Hamza Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia King Salman Center for Disability Research RiyadhAl-Hayātim 16273Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Special Education College of EducationKing Saud UniversityRiyadh12372Saudi Arabia Department of Computer Science College of Science&ArtsKing Khaled UniversityAr-Riyad 12372Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Visual impairment is one of the major problems among people of all age groups across the *** Impaired Persons(VIPs)require help from others to carry out their day-to-day *** they experience several problems in their daily lives,technical intervention can help them resolve the *** this background,an automatic object detection tool is the need of the hour to empower VIPs with safe *** recent advances in the Internet of Things(IoT)and Deep Learning(DL)techniques make it *** current study proposes IoT-assisted Transient Search Optimization with a Lightweight RetinaNetbased object detection(TSOLWR-ODVIP)model to help *** primary aim of the presented TSOLWR-ODVIP technique is to identify different objects surrounding VIPs and to convey the information via audio message to *** data acquisition,IoT devices are used in this ***,the Lightweight RetinaNet(LWR)model is applied to detect objects ***,the TSO algorithm is employed for fine-tuning the hyperparameters involved in the LWR ***,the Long Short-Term memory(LSTm)model is exploited for classifying *** performance of the proposed TSOLWR-ODVIP technique was evaluated using a set of objects,and the results were examined under distinct *** comparison study outcomes confirmed that the TSOLWR-ODVIP model could effectually detect and classify the objects,enhancing the quality of life of VIPs.

关键词： Visually impaired people deep learning object detection computer vision long short-term memory transient search optimization

Deep Learning Driven Arabic Text to Speech Synthesizer for Visually Challenged People

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Intelligent Automation & Soft Computing 2023年第6期36卷 2639-2652页

作者： mrim m.Alnfiai nabil Almalki Fahd N.Al-Wesabi mesfer Alduhayyem Anwer mustafa Hilal manar Ahmed Hamza King Salman Center for Disability Research Riyadh13369Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Special Education College of EducationKing Saud UniversityRiyadh12372Saudi Arabia Department of Computer Science College of Science&Arts at MuhayelKing Khaled UniversityAbha62217Saudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj16733Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia

Text-To-Speech(TTS)is a speech processing tool that is highly helpful for visually-challenged *** TTS tool is applied to transform the texts into human-like ***,it is highly challenging to accomplish the TTS out-comes for the non-diacritized text of the Arabic language since it has multiple unique features and *** special characters like gemination and diacritic signs that correspondingly indicate consonant doubling and short vowels greatly impact the precise pronunciation of the Arabic ***,such signs are not frequently used in the texts written in the Arabic language since its speakers and readers can guess them from the context *** this background,the current research article introduces an Optimal Deep Learning-driven Arab Text-to-Speech Synthesizer(ODLD-ATSS)model to help the visually-challenged people in the Kingdom of Saudi *** prime aim of the presented ODLD-ATSS model is to convert the text into speech signals for visually-challenged *** attain this,the presented ODLD-ATSS model initially designs a Gated Recurrent Unit(GRU)-based prediction model for diacritic and gemination ***,the Buckwalter code is utilized to capture,store and display the Arabic *** improve the TSS performance of the GRU method,the Aquila Optimization Algorithm(AOA)is used,which shows the novelty of the *** illustrate the enhanced performance of the proposed ODLD-ATSS model,further experi-mental analyses were *** proposed model achieved a maximum accu-racy of 96.35%,and the experimental outcomes infer the improved performance of the proposed ODLD-ATSS model over other DL-based TSS models.

关键词： Saudi Arabia visually challenged people deep learning Aquila optimizer gated recurrent unit

measurement of total phenolic content and antioxidant activity of aerial parts of medicinal plant Coronopus didymus

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Asian Pacific Journal of Tropical medicine 2017年第8期10卷 855-862页

作者： Hafiza Noreen nabil Semmar muhammad Farman James S.O.mcCullagh Department of Chemistry Quaid-i-Azam UniversityIslamabad 45320Pakistan Institut Supérieur des Sciences Biologiques Appliquées de Tunis Tunisia Chemistry Research Laboratory Department of ChemistryUniversity of OxfordMansfield RoadOxford OX1 3TAUnited Kingdom

Objective: To evaluate the total phenolic content and compare the antioxidant activity of various solvent extracts and fractions from the aerial parts of Coronopus didymus through various assays. methods: Total phenolic content was determined using the Folin-Ciocalteu assay and the in vitro antioxidant activity of a number of different extracts was investigated in a dose-dependent manner with three different methods: the 2,2-diphenyl-1-picrylhydrazyl(DPPH), 2,2'-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt(ABTS) and ferric reducing antioxidant power(FRAP) assays. A flavone was isolated from the most active ethanolic extract with high antioxidant activity using size exclusion chromatography. IC_(50) values were calculated for the DPPH and ABTS methods. The FRAP activity was assessed in terms of μm Fe(II) equivalent. Results: The phenolic content was found to be highest in the ethanol extract(CDA Et; 47.8 mm GAE) and the lowest in the dichloromethane extract(CDA DCm; 3.13 mm GAE). The ethanol extract showed high radical scavenging activity towards DPPH and ABTS radicals with IC_(50) values of(7.80 × 10~2) and(4.32 × 10~2) μg/m L, respectively. The most active ethanol extract had a FRAP value of 1 921.7 μm Fe(Ⅱ) equivalent. The isolated flavone F10C(5,7,4'-trihydroxy-3'-methoxy flavone) was far more effective for scavenging free radicals in the DPPH and ABTS assays with IC_(50) of 43.8 and 0.08 μg/m L, than the standard trolox, with IC_(50) values of 97.5 and 21.1 μg/m L, respectively. In addition, the flavone F10C and the standard ascorbic acid had FRAP values of 1 621.7 and 16 038.0 μm Fe(Ⅱ) equivalents, respectively. Conclusions: The total phenolic content of extracts in decreasing order is ethanol extract(CDA Et)> acetone extract(CDA ACE)> phenolic extract(CDA mW)> n-hexane extract(CDA nHX)> chloroform extract(CDA CHL)> dichloromethane extract(CDA DCm). The ordering of extracts in terms of antioxidant activity from highest to lowest is CDA Et> C

关键词： Coronopus didymus Antioxidant activity Total phenolic content Size exclusion chromatography

牛角瓜(Calotropis procera Ait.)提取物对非洲瓜瓢虫(Henosepilachna elaterii Rossi)的杀虫潜能评价(英文)

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浙江大学学报（农业与生命科学版） 2006年第3期32卷 292-299页

作者： Umsalama A.m.AHmED nabil H.H.BASHIER 施祖华浙江大学昆虫科学研究所浙江杭州310029 Khartoum大学农学院

室内评价了牛角瓜(Calotropis proceraAit.)提取物对非洲瓜瓢虫(Henosepilachna elateriiRossi)的生物活性及提取方法.结果表明,浸泡提取法的提取效率显著比电动振荡提取法高;植物的不同部分提取效率存在显著差异,以叶最高,花次之,根最... 详细信息

室内评价了牛角瓜(Calotropis proceraAit.)提取物对非洲瓜瓢虫(Henosepilachna elateriiRossi)的生物活性及提取方法.结果表明,浸泡提取法的提取效率显著比电动振荡提取法高;植物的不同部分提取效率存在显著差异,以叶最高,花次之,根最低;叶提取物的生物活性高于花和根;初孵的幼虫不取食牛角瓜叶、花和根提取物处理过的南瓜叶;用提取物处理过的南瓜叶饲养4龄幼虫,幼虫不能化蛹就死亡;4龄幼虫前胸背板点滴牛角瓜叶或花提取物试验表明,点滴处理后幼虫的死亡率、随后的蛹死亡率和羽化的畸形成虫比例增加.但4龄幼虫先用牛角瓜叶、花和根提取物处理过的南瓜叶饲养2天,随后用未经提取物处理的南瓜叶饲养,则这些幼虫仍能完成幼虫和蛹的发育,而且育出的成虫寿命和生殖力不受影响.

关键词：牛角瓜非洲瓜瓢虫植物源杀虫剂提取物点滴南瓜

Securing Transmitted Color Images Using Zero Watermarking and Advanced Encryption Standard on Raspberry Pi

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Computer Systems Science & Engineering 2023年第11期47卷 1967-1986页

作者： Doaa Sami Khafaga Sarah m.Alhammad Amal magdi Osama ElKomy nabil ALashin Khalid m.Hosny Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology Zagazig UniversityZagazig44519Egypt

Image authentication techniques have recently received a lot of attention for protecting images against unauthorized *** to the wide use of the Internet nowadays,the need to ensure data integrity and authentication *** techniques,such as watermarking and encryption,are used for securing images transmitted via the *** majority of watermarking systems are PC-based,but they are not very *** watermarking methods need to be developed to accommodate real-time applications and provide *** paper presents hybrid data security techniques using a zero watermarking method to provide copyright protection for the transmitted color images using multi-channel orthogonal Legendre Fourier moments of fractional orders(mFrLFms)and the advanced encryption standard(AES)algorithm on a low-cost Raspberry *** order to increase embedding robustness,the watermark picture is scrambled using the Arnold *** watermarking is implemented on the Raspberry Pi to produce a real-time ownership verification *** sending the ownership verification key and the original image to the monitoring station,we can encrypt the transmitted data with AES for additional security and hide any viewable *** receiver next verifies the received image’s integrity to confirm its authenticity and that it has not been tampered *** assessed the suggested algorithm’s resistance to many *** suggested algorithm provides a reasonable degree of robustness while still being *** proposed method provides improved bit error rate(BER)and normalized correlation(NC)values compared to previous zero watermarking *** performance analysis is performed to demonstrate its *** a 256×256 image size,it takes only 2 s to apply the zero-watermark algorithm on the Raspberry Pi.

关键词： Zero watermarking Raspberry Pi advanced encryption standard