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Islands of stability and quasi-magic numbers for super- and ultra-heavy nuclei

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Chinese Physics C 2016年第12期40卷 69-90页

作者： M.Ismail A.Y.Ellithi A.Adel Hisham anwer Physics Department Faculty of Science Cairo University Physics Department College of Science Majmaah University Physics Department German University in Cairo

In the framework of Strutinsky＇s approach, we calculated the shell and the residual pairing correction energies for 5569 even-even nuclei in the range 72 ≤ Z ≤ 282 and 96≤N ≤ 540. Quasi-magic numbers and deformed islands of stability that reside in a range defined by Green＇s formula and the two-neutrons drip line are introduced. We present 36 quasi-magic proton and 53 quasi-magic neutron magic numbers that contribute to the formation of 133 deformed islands of stability along the N-Z space. The quasi-magic proton and neutron magic numbers volatile as the mass number increases and other magic numbers take over. Consequently, the deformed islands of stability fail to exhibit a pattern along the search space covered.

关键词： deformed nuclei islands of stability magic numbers

Seismic Analysis of Reinforced Concrete Silos under Far-Field and Near-Fault Earthquakes

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Structural Durability & Health Monitoring 2022年第3期16卷 213-233页

作者： anwer H.Hussein Hussam K.Risan Department of Civil Engineering Al-Nahrain UniversityBaghdad10072Iraq

Silos are strategical structures used to stockpile various types of granular *** are highly vulnerable to earthquake excitation and have been frequently reported to fail at a higher rate than any other industrial *** seismic response of silos within the near-fault region will suffer a complex combination of loadings due to the unique characteristics of the near-fault ground motions;which are usually associated with a large amplitude pulse at the beginning of either the velocity or the displacement time *** study aims to numerically evaluate the seismic response of reinforced concrete cylindrical silos under near-fault ground motions(NFGM)and far-field ground motions(FFGM).The assessment investigates the impact of the slenderness ratio and the para-meters’influence on the seismic behavior of reinforced concrete *** validity of the Eurocode provisions in the structural safety of silos will also be *** nonlinear time history analysis is carried out through the finite element approach by examining four silos with different slenderness *** concrete damage plas-ticity model is assigned to the silo wall to simulate the nonlinear behavior of concrete in the plastic zone;while,the behavior of the stored material is represented by the Drucker-Prager plastic *** wall-granular material interaction is considered and defined by coulomb’s friction *** results of the near-fault records reveal a growth up to 72.8%in the hoop stress and 160.4%in the vertical stress compared to the far-field ***,the seismic response of reinforced concrete silos is highly sensitive to the type of ground motion,and slender silos tend to impose greater structural demand under the ***,The Eurocode-8 seismic provisions were adequate in the conventional far-field ground motions and less effective in the near-fault zone.

关键词： Silos seismic analysis near-fault earthquake far-field earthquake

Multi-wavelength colloidal quantum dot lasers in distributed feedback cavities

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Science China(Information Sciences) 2020年第8期63卷 210-216页

作者： anwer HAYAT Junhua TONG Chao CHEN Lianze NIU Gohar AZIZ Tianrui ZHAI Xinping ZHANG Institute of Information Photonics Technology and College of Applied Sciences Beijing University of Technology

Lasers with multi-wavelength colloidal quantum dots(CQDs) can be achieved using complex grating structures and flexible substrate. The structure contains graduated periods and rectangular cavity fabricated through interference lithography, which acts as the distributed feedback cavity. A layer of densely packed CQD film is deposited on the cavity via spin coating technique. The performance of CQD lasers based on different distributed feedback cavities is investigated. Multi-wavelength lasing is achieved based on a flexible rectangular cavity.

关键词： multi-wavelength quantum dots lasers distributed feedback flexible tunable

Hand Gesture Recognition for Disabled People Using Bayesian Optimization with Transfer Learning

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Intelligent Automation & Soft Computing 2023年第6期36卷 3325-3342页

作者： Fadwa Alrowais Radwa Marzouk Fahd N.Al-Wesabi anwer Mustafa Hilal Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mathematics Faculty of ScienceCairo UniversityGiza12613Egypt Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Sign language recognition can be treated as one of the efficient solu-tions for disabled people to communicate with *** helps them to convey the required data by the use of sign language with no *** latest develop-ments in computer vision and image processing techniques can be accurately uti-lized for the sign recognition process by disabled *** Sign Language(ASL)detection was challenging because of the enhancing intraclass similarity and higher *** article develops a new Bayesian Optimiza-tion with Deep Learning-Driven Hand Gesture Recognition Based Sign Language Communication(BODL-HGRSLC)for Disabled *** BODL-HGRSLC technique aims to recognize the hand gestures for disabled people’s *** presented BODL-HGRSLC technique integrates the concepts of compu-ter vision(CV)and DL *** the presented BODL-HGRSLC technique,a deep convolutional neural network-based residual network(ResNet)model is applied for feature ***,the presented BODL-HGRSLC model uses Bayesian optimization for the hyperparameter tuning *** last,a bidir-ectional gated recurrent unit(BiGRU)model is exploited for the HGR procedure.A wide range of experiments was conducted to demonstrate the enhanced perfor-mance of the presented BODL-HGRSLC *** comprehensive comparison study reported the improvements of the BODL-HGRSLC model over other DL models with maximum accuracy of 99.75%.

关键词： Deep learning hand gesture recognition disabled people computer vision bayesian optimization

Correspondence between phenomenological and IBM-1 models of even isotopes of Yb

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Chinese Physics C 2015年第8期39卷 36-42页

作者： A.A.Okhunov F.I.Sharrad anwer A.Al-Sammarraie M.U.Khandaker Department of Science in Engineering Faculty of Engineering International Islamic University Malaysia Institute of Nuclear Physics Academy of Science Republic of Uzbekistan Department of Physics College of Science University of Kerbala Department of Chemistry College of Education Faculty of Science University of Samara Quantum Science Centre Department of Physics Faculty of Science University of Malaya

Energy levels and the reduced probability of E2- transitions for ytterbium isotopes with proton number Z = 70 and neutron numbers between 100 and 106 have been calculated through phenomenological （PhM） and interacting boson （IBM-1） models. The predicted low-lying levels （energies, spins and parities） and the reduced probability for E2- transitions results are reasonably consistent with the available experimental data. The predicted low-lying levels （gr-, β1- and γ1- band） produced in the PhM are in good agreement with the experimental data compared with those by IBM-1 for all nuclei of interest. In addition, the phenomenological model was successful in predicting the β2-, β3-, β4-, γ2- and 1＋- band while it was a failure with IBM-1. Also, the 3＋- band is predicted by the IBM-1 model for 172Yb and 174yb nuclei. All calculations are compared with the available experimental data.

关键词： ytterbium (Yb) energy levels model even-even isotopes nuclei

Automated Deep Learning Based Melanoma Detection and Classification Using Biomedical Dermoscopic Images

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Computers, Materials & Continua 2023年第2期74卷 2443-2459页

作者： Amani Abdulrahman Albraikan Nadhem NEMRI Mimouna Abdullah Alkhonaini anwer Mustafa Hilal Ishfaq Yaseen Abdelwahed Motwakel Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Melanoma remains a serious illness which is a common formof skin *** the earlier detection of melanoma reduces the mortality rate,it is essential to design reliable and automated disease diagnosis model using dermoscopic *** recent advances in deep learning(DL)models find useful to examine the medical image and make proper *** this study,an automated deep learning based melanoma detection and classification(ADL-MDC)model is *** goal of the ADL-MDC technique is to examine the dermoscopic images to determine the existence of *** ADL-MDC technique performs contrast enhancement and data augmentation at the initial ***,the k-means clustering technique is applied for the image segmentation *** addition,Adagrad optimizer based Capsule Network(CapsNet)model is derived for effective feature extraction ***,crow search optimization(CSO)algorithm with sparse autoencoder(SAE)model is utilized for the melanoma classification *** exploitation of the Adagrad and CSO algorithm helps to properly accomplish improved performance.A wide range of simulation analyses is carried out on benchmark datasets and the results are inspected under several *** simulation results reported the enhanced performance of the ADL-MDC technique over the recent approaches.

关键词： Biomedical images dermoscopic images deep learning melanoma detection machine learning

Red Deer Optimization with Artificial Intelligence Enabled Image Captioning System for Visually Impaired People

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Computer Systems Science & Engineering 2023年第8期46卷 1929-1945页

作者： anwer Mustafa Hilal Fadwa Alrowais Fahd N.Al-Wesabi Radwa Marzouk Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMahayilSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Mathematics Faculty of ScienceCairo UniversityGiza12613Egypt

The problem of producing a natural language description of an image for describing the visual content has gained more attention in natural language processing(NLP)and computer vision(CV).It can be driven by applications like image retrieval or indexing,virtual assistants,image understanding,and support of visually impaired people(VIP).Though the VIP uses other senses,touch and hearing,for recognizing objects and events,the quality of life of those persons is lower than the standard *** Image captioning generates captions that will be read loudly to the VIP,thereby realizing matters happening around *** article introduces a Red Deer Optimization with Artificial Intelligence Enabled Image Captioning System(RDOAI-ICS)for Visually Impaired *** presented RDOAI-ICS technique aids in generating image captions for *** presented RDOAIICS technique utilizes a neural architectural search network(NASNet)model to produce image ***,the RDOAI-ICS technique uses the radial basis function neural network(RBFNN)method to generate a textual *** enhance the performance of the RDOAI-ICS method,the parameter optimization process takes place using the RDO algorithm for NasNet and the butterfly optimization algorithm(BOA)for the RBFNN model,showing the novelty of the *** experimental evaluation of the RDOAI-ICS method can be tested using a benchmark *** outcomes show the enhancements of the RDOAI-ICS method over other recent Image captioning approaches.

关键词： Machine learning image captioning visually impaired people parameter tuning artificial intelligence metaheuristics

Photocatalysts for degradation of dyes in industrial effluents:Opportunities and challenges

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Nano Research 2019年第5期12卷 955-972页

作者： Hassan anwer Asad Mahmood Jechan Lee Ki-Hyun Kim Jae-Woo Park Alex C.K.Yip Department of Civil and Environmental Engineering Hanyang University222 Wangsimni-roSeoul 04763Republic of Korea Department of Environmental and Safety Engineering Ajou UniversitySuwon 16499Republic of Korea Department of Chemical and Process Engineering University of CanterburyChristchurch 8041New Zealand

Discharging dye contaminants into water is a major concern around the *** a variety of methods to treat dye-contaminated water,photocatalytic degradation has gained attention as a tool for treating the colored ***,we review the recent advancements in photocatalysis for dye degradation in industrial effluents by categorizing photocatalyst materials into three *** generation photocatalysts are composed of single-component materials (e.g.,TiO2,ZnO,and CdS),while second generation photocatalysts are composed of multiple components in a suspension (e.g.,WO3/NiWO4,BiOl/ZnTiOa,and C3N4/Ag3VO4).Photocatalysts immobilized on solid substrates are regarded as third generation materials (e.g.,FTO/WO3-ZnO,Steel/TiO2-WO3,and Glass/P-TiO2).Photocatalytic degradation mechanisms,factors affecting the dye degradation,and the lesser-debated uncertainties related to the photocatalysis are also discussed to offer better insights into environmental ***,quantum yields of different photocatalysts are calculated,and a performance evaluation method is proposed to compare photocatalyst systems for dye ***,we discuss the present limitations of photocatalytic dye degradation for field applications and the future of the technology.

关键词： photocatalyst dye wastewater degradation mechanism performance evaluation

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几何增强的装配工艺本体建模

机械工程学报 2015年第22期51卷 202-212页

作者：乔立红朱怡心 anwer Nabil 北京航空航天大学机械工程及自动化学院北京100191 卡尚高等师范学校LURPA研究所卡尚94235法国

包含产品几何与非几何信息的产品装配要求是装配工艺设计的主要依据,对装配工艺设计决策结果具有决定性的影响。在装配工艺模型中描述产品的几何相关信息能够更好地表达如装配顺序,装配路径等内容,同时可以更好地辅助装配工艺决策,提高... 详细信息

包含产品几何与非几何信息的产品装配要求是装配工艺设计的主要依据,对装配工艺设计决策结果具有决定性的影响。在装配工艺模型中描述产品的几何相关信息能够更好地表达如装配顺序,装配路径等内容,同时可以更好地辅助装配工艺决策,提高决策的自动化水平。提出一种几何增强的装配工艺本体模型,利用语义本体技术,建立产品几何信息在装配工艺中的描述方法,数据结构与关系描述。并以该模型为基础,建立基于几何增强装配工艺本体的装配工艺决策框架。该框架分为两部分:一是采用几何增强的装配工艺本体模型描述产品几何信息和装配工艺信息的数据结构和相互关系;二是为了让几何信息与装配工艺信息之间存在的丰富的隐含关系显性化,对语义本体推理机制进行增强,提出推理单元的概念,使决策框架具有从产品几何信息中推理装配工艺相关信息的能力,有效地支持装配工艺决策。以针对某传动器产品装配顺序决策的过程,验证所提出的几何增强装配工艺本体模型与框架的有效性。

关键词：几何增强本体装配工艺决策语义本体推理推理单元