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Electromagnetic Time Reversal Algorithms and Source Localization in Lossy Dielectric Media

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Communications in Theoretical Physics 2014年第12期61卷 779-789页

作者： abdul wahab Amer Rasheed Tasawar Hayat Rab Nawaz Department of Mathematics COMSATS Institute of Information Technology Department of Mathematics Quaid-i-Azam University Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Faculty of Science King Abdulaziz University

The problem of reconstructing the spatial support of an extended radiating electric current source density in a lossy dielectric medium from transient boundary measurements of the electric fields is studied. A time reversal algorithm is proposed to localize a source density from loss-less wave-field measurements. Further, in order to recover source densities in a lossy medium, we first build attenuation operators thereby relating loss-less waves with lossy ones. Then based on asymptotic expansions of attenuation operators with respect to attenuation parameter, we propose two time reversal strategies for localization. The losses in electromagnetic wave propagation are incorporated using the Debye's complex permittivity, which is well-adopted for low frequencies(radio and microwave) associated with polarization in dielectrics.

关键词： time reversal electromagnetic waves inverse source problem Debye’s law attenuation operators

Fuzzy logic controller implementation on a microbial electrolysis cell for biohydrogen production and storage

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Chinese Journal of Chemical Engineering 2021年第12期34卷 149-159页

作者： Gabriel Khew Mun Hong Mohd Azlan Hussain Ahmad Khairi abdul wahab Department of Chemical Engineering Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia Department of Biomedical Engineering Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia Centre for Separation Science and Technology(CSST) Faculty of EngineeringUniversiti Malaya50603 Kuala LumpurMalaysia

This work presents the implementation of fuzzy logic control(FLC) on a microbial electrolysis cell(MEC).Hydrogen has been touted as a potential alternative source of energy to the depleting fossil fuels. MEC is one of the most extensively studied method of hydrogen production. The utilization of biowaste as its substrate by MEC promotes the waste to energy initiative. The hydrogen production within the MEC system, which involves microbial interaction contributes to the system's nonlinearity. Taking into account of the high complexity of MEC system, a precise process control system is required to ensure a wellcontrolled biohydrogen production flow rate and storage application inside a tank. Proportionalderivative-integral(PID) controller has been one of the pioneer control loop mechanism. However, it lacks the capability to adapt properly in the presence of disturbance. An advanced process control mechanism such as the FLC has proven to be a better solution to be implemented on a nonlinear system due to its similarity in human-natured thinking. The performance of the FLC has been evaluated based on its implementation on the MEC system through various control schemes progressively. Similar evaluations include the performance of Proportional-Integral(PI) and PID controller for comparison purposes. The tracking capability of FLC is also accessed against another advanced controller that is the model predictive controller(MPC). One of the key findings in this work is that the FLC resulted in a desirable hydrogen output via MEC over the PI and PID controller in terms of shorter settling time and lesser overshoot.

关键词： Fuzzy logic control Process control Nonlinear Microbial electrolysis cell Renewable energy Hydrogen

A Novel Handcrafted with Deep Features Based Brain Tumor Diagnosis Model

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Intelligent Automation & Soft Computing 2023年第2期35卷 2057-2070页

作者： abdul Rahaman wahab Sait Mohamad Khairi Ishak Department of Documents and Archive Center of Documents and Administrative CommunicationKing Faisal UniversityAl Hofuf31982Al-AhsaSaudi Arabia School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong Tebal14300PenangMalaysia

In healthcare sector,image classiﬁcation is one of the crucial problems that impact the quality output from image processing *** purpose of image classiﬁcation is to categorize different healthcare images under various class labels which in turn helps in the detection and management of *** Resonance Imaging(MRI)is one of the effective non-invasive strate-gies that generate a huge and distinct number of tissue contrasts in every imaging *** technique is commonly utilized by healthcare professionals for Brain Tumor(BT)*** recent advancements in Machine Learning(ML)and Deep Learning(DL)models,it is possible to detect the tumor from images automatically,using a computer-aided *** current study focuses on the design of automated Deep Learning-based BT Detection and Classiﬁcation model using MRI images(DLBTDC-MRI).The proposed DLBTDC-MRI techni-que aims at detecting and classifying different stages of *** proposed DLBTDC-MRI technique involves medianﬁltering technique to remove the noise and enhance the quality of MRI ***,morphological operations-based image segmentation approach is also applied to determine the BT-affected regions in brain MRI ***,a fusion of handcrafted deep features using VGGNet is utilized to derive a valuable set of feature ***,Artiﬁcial Fish Swarm Optimization(AFSO)with Artiﬁcial Neural Network(ANN)model is utilized as a classiﬁer to decide the presence of *** order to assess the enhanced BT classiﬁcation performance of the proposed model,a comprehensive set of simulations was performed on benchmark dataset and the results were vali-dated under several measures.

关键词： Brain tumor medical imaging image classiﬁcation handcrafted features deep learning parameter optimization

Martensitic transformation and magnetic properties of aged Ni-Fe-Ga-Ti shape memory alloy

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International Journal of Minerals,Metallurgy and Materials 2013年第9期20卷 867-873页

作者： Nader El-Bagoury Mahmoud mohamed Hessien Magdy Abdel wahab Kaseem Chemistry Department Faculty of Science TAIF University P.O. Box 888 El-Haweyah El-Taif Saudi Arbia Central Metallurgical Research and Development Institute (CMRDI) P.O. Box 87 Helwan Cairo Egypt Head of National Authority for Quality of Education Assurance and Accreditation Nasr City Cairo P.O. Box 11461 Egypt

This article reports the effect of ageing on the microstructure, martensitic transformation, magnetic properties, and mechanical properties of Ni51FelsGa27Ti4 shape memory alloy. There are five specimens of this alloy aged at 573 up to 973 K for 3 h per each. This range of ageing temperature greatly affects the microstructure of the alloy. As the ageing temperature increased from 573 up to 973 K, the microstructure of Ni51FelsGa27Ti4 alloy gradually changed from the entirely martensitic matrix at 573 K to the fully austenitic microstructure at 973 K. The volume fraction of precipi- tated Ni3Ti particles increased with the ageing temperature increasing from 573 to 773 K. Further increasing the ageing temperature to 973 K decreased the content of Ni3Ti in the microstructure. The martensitic transformation tempera- ture was decreased steadily by increasing the ageing temperature. The magnetization saturation, remnant magnetization, and coercivity increased with the ageing temperature increasing up to 773 K. A further increase in ageing temperature decreased these raagnetic properties. Moreover, the hardness values were gradually increased at first by increasing the ageing temperature to 773 K, and then dramatically decreased to the lowest value at 973 K.

关键词： magnetic materials shape memory effect ageing microstructure martensitic transformations magnetic properties hardness

Calcification Response of Coccolithophores to Eutrophication

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Calcification Response of Coccolithophores to Eutrophication

作者： wahab abdul 西南科技大学

学位级别：硕士

颗石藻细胞是单细胞光合海藻类,珊瑚藻类主要是海洋单细胞浮游植物。颗石藻虫物种海洋球石藻是现代海洋中分布最广泛的物种。因为它们可以通过光合作用消化碳和碳酸钙(球石),所以它们的物种遍布全世界。它们是世界上最大的碳群,也是最... 详细信息

颗石藻细胞是单细胞光合海藻类,珊瑚藻类主要是海洋单细胞浮游植物。颗石藻虫物种海洋球石藻是现代海洋中分布最广泛的物种。因为它们可以通过光合作用消化碳和碳酸钙(球石),所以它们的物种遍布全世界。它们是世界上最大的碳群,也是最大的主要生产者之一。随着人口的增加,人类越来越依赖海洋作为食物来源和生活。因此,我们的文明越来越容易受到海洋系统的负面影响。关于碳和氮在细胞水平上相互作用的信息缺乏与生态相关的浮游植物物种,我们研究了硝酸根的有效性对广泛分布的海洋球石藻有害藻华的碳和氮含量的影响。这些自然现象,对捕鱼生产,公共卫生和现代工业产生了显着的负面影响。细胞在足够的(～280uM)和环境(～10uM)硝酸根离子中培养。后者代表了典型的地表水硝酸盐浓度。在过去的几十年里,硝酸铒的全球频率,规模和地理范围都有所增加。有人提出,全球变化和富营养化是主要趋势。因此,本文的第一部分重点关注海洋球石藻可能形成的环境条件。使用分批培养技术,提高温度和营养素负荷(磷酸盐和硝酸盐)。海洋球石藻(PMLB92/11)也在氮气下分批培养。作为磷钙化石的限制,多元化广泛分布着一批海洋微藻,生物生产。由球孢霉产生植物海洋球石藻产生的细胞内钙化受各种环境因素调节。方解石在细胞表面的球石形式。批次孵化使用海洋球石藻。我们探索了这种钙化过程的反应,通过改变初始培养基正常浓度为1ppm(百万分率)的生长速率和颗粒有机磷的氮和磷生产。尽管总有机氮限制下颗粒有机氮产量下降了 96%,但颗粒有机磷产量下降了85%。在磷限制下,氮的增长率下降31%,磷的限制率增加26%。无机碳元素,有机碳元素,有机氮元素,颗粒无机碳产量在氮极限下增加1.5倍,在磷极限下增加3.3倍,并产生颗粒状有机磷和石蜡形态分析。在氮极限下颗粒无机碳的产量增加了 1.2倍,并且在P极限下没有变化,结论是氮限制下颗粒无机氮产量的减少和磷限制下颗粒无机磷产量的减少代表了细胞的生理反应,颗粒碳生产代表了一种方法学的人为因素。此外,紫外-可见光谱和傅里叶红外光谱分析显示,氮磷施肥增强的石英石钙化的时间依赖性伴随着方解石向文石非晶相的晶相转变。结果表明,石灰石的形成不受磷或氮限制的影响,其钙化率可能会受到影响。后一个结论显然与我们的数据相矛盾。我们讨论这个推理的原因。

关键词：钙化颗石藻氮磷浓度海洋球石藻批量培养有机和无机碳生产

Application of automated image analysis to the identification and extraction of recyclable plastic bottles

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2009年第6期10卷 794-799页

作者： Edgar SCAVINO Dzuraidah abdul wahab Aini HUSSAIN Hassan BASRI Mohd Marzuki MUSTAFA Faculty of Engineering Universiti Kebangsaan Malaysia

An experimental machine vision apparatus was used to identify and extract recyclable plastic bottles out of a conveyor belt. Color images were taken with a commercially available Webcam, and the recognition was performed by our homemade software, based on the shape and dimensions of object images. The software was able to manage multiple bottles in a single image and was additionally extended to cases involving touching bottles. The identification was fulfilled by comparing the set of measured features with an existing database and meanwhile integrating various recognition techniques such as minimum distance in the feature space, self-organized maps, and neural networks. The recognition system was tested on a set of 50 different bottles and provided so far an accuracy of about 97% on bottle identification. The extraction of the bottles was performed by means of a pneumatic arm, which was activated according to the plastic type; polyethylene-terephthalate (PET) bottles were left on the conveyor belt, while non-PET bottles were extracted. The software was designed to provide the best compromise between reli-ability and speed for real-time applications in view of the commercialization of the system at existing recycling plants.

关键词： Computer vision Pattern recognition Automated sorting Recycling

Fabrication of graphene oxide decorated with poly(dimethyl amino ethyl methacrylate) brush for efficient Cr(Ⅵ) adsorption from aqueous solution

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Chinese Journal of Chemical Engineering 2024年第9期73卷 51-61页

作者： Alireza Nouri Siew Fen Chua Ebrahim Mahmoudi abdul wahab Mohammad Wei Lun Ang Department of Chemical and Process Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Centre for Sustainable Process Technology(CESPRO) Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi 43600Malaysia Chemical and Water Desalination Engineering Program College of EngineeringUniversity of SharjahSharjah 27272United Arab Emirates

Confronting the severe health threats and environmental impacts of Cr(Ⅵ) in aquatic environments demands innovative and effective remediation approaches. In this study, Graphene oxide(GO)-decorated poly(dimethyl amino ethyl methacrylate)(PDMAEMA) brush nanocomposites(GOP1, GOP2, GOP3, and GOP4) were fabricated using atom transfer radical polymerization(ATRP) by the “graft from” *** resulting nanocomposites were utilized for removing Cr(Ⅵ) with good adsorption performance due to the electrostatic interaction of protonated nitrogen groups in the brush chains with negatively charged particles in the solution. The kinetic model of pseudo-second-order best represented the contaminants' adsorption characteristics. The Weber-Morris model further indicated that surface adsorption and intraparticle diffusion mechanisms primarily controlled the adsorption procedure. Additionally, the Langmuir and Temkin isotherm models were found to most accurately represent the adsorption characteristics of the pollutants on the nanocomposites, and GOP4 can achieve the maximum adsorption capacity of 164.4 mg·g^(-1). The adsorbents' capacity maintains above 85% after five cycles of adsorption-desorption. The nanocomposites in this study demonstrate promising potential for eliminating Cr(Ⅵ) from aqueous solutions.

关键词： Graphene oxide PDMAEMA brush Polymerization Nanoparticles Adsorption Chromium

Design, mechanism, delivery and therapeutics of canonical and Dicer-substrate siRNA

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Asian Journal of Pharmaceutical Sciences 2019年第5期14卷 497-510页

作者： Maria abdul Ghafoor Raja Haliza Katas Muhammad wahab Amjad Department of Pharmaceutics Faculty of PharmacyNorthern Border UniversityRafha73211Saudi Arabia Centre for Drug Delivery Research Faculty of PharmacyUniversiti Kebangsaan MalaysiaKuala Lumpur50300Malaysia

Upon the discovery of RNA interference(RNAi),canonical small interfering RNA(si RNA) has been recognized to trigger sequence-specific gene silencing. Despite the benefits of si RNAs as potential new drugs,there are obstacles still to be overcome,including off-target effects and immune stimulation. More recently,Dicer substrate si RNA(Dsi RNA) has been introduced as an alternative to si RNA. Similarly,it also is proving to be potent and target-specific,while rendering less immune stimulation. Dsi RNA is 25–30 nucleotides in length,and is further cleaved and processed by the Dicer enzyme. As with si RNA,it is crucial to design and develop a stable,safe,and efficient system for the delivery of Dsi RNA into the cytoplasm of targeted cells. Several polymeric nanoparticle systems have been well established to load Dsi RNA for in vitro and in vivo delivery,thereby overcoming a major hurdle in the therapeutic uses of Dsi RNA. The present review focuses on a comparison of si RNA and Dsi RNA on the basis of their design,mechanism,in vitro and in vivo delivery,and therapeutics.

关键词： RNA interference Drug delivery system Polymeric nanoparticles Gene silencing Gene carrier Non-viral vector

Stochastic Computing Convolutional Neural Network Architecture Reinvented for Highly Efficient Artificial Intelligence Workload on Field-Programmable Gate Array

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Research 2024年第2期2024卷 55-79页

作者： Yang Yang Lee Zaini abdul Halim Mohd Nadhir Ab wahab Tarik Adnan Almohamad School of Electrical and Electronic Engineering Universiti Sains MalaysiaNibong Tebal 14300 Penang Malaysia School of Computer Sciences Universiti Sains MalaysiaGelugor11800 PenangMalaysia Electrical-Electronics Engineering Department Faculty of EngineeringKarabuk University78050 KarabukTurkiye

Stochastic computing(SC)has a substantial amount of study on application-specific integrated circuit(ASIC)design for artificial intelligence(AI)edge computing,especially the convolutional neural network(CNN)***,SC has little to no optimization on field-programmable gate array(FPGA).Scaling up the ASIC logic without FPGA-oriented designs is inefficient,while aggregating thousands of bitstreams is still challenging in the conventional *** research has reinvented several FPGA-efficient 8-bit SC CNN computing architectures,i.e.,SC multiplexer multiply-accumulate,multiply-accumulate function generator,and binary rectified linear unit,and successfully scaled and implemented a fully parallel CNN model on Kintex7 *** proposed SC hardware only compromises 0.14%accuracy compared to binary computing on the handwriting Modified National Institute of Standards and Technology classification task and achieved at least 99.72%energy saving per image feedforward and 31?more data throughput than modern *** to SC,early decision termination pushed the performance baseline exponentially with minimum accuracy loss,making SC CNN extremely lucrative for AI edge computing but limited to classification *** SC's inherent noise heavily penalizes CNN regression performance,rendering SC unsuitable for regression tasks.

关键词： hardware Highly rendering