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Neural network and principal component regression in non-destructive soluble solids content assessment:a comparison

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2012年第2期13卷 145-151页

作者： Kim-seng CHIA Herlina abdul rahim Ruzairi abdul rahim Department of Control and Instrumentation Faculty of Electrical EngineeringUniversiti Teknologi Malaysia

Visible and near infrared spectroscopy is a non-destructive,green,and rapid technology that can be utilized to estimate the components of interest without conditioning it,as compared with classical analytical *** objective of this paper is to compare the performance of artificial neural network(ANN)(a nonlinear model)and principal component regression(PCR)(a linear model)based on visible and shortwave near infrared(VIS-SWNIR)(400-1000 nm)spectra in the non-destructive soluble solids content measurement of an ***,we used multiplicative scattering correction to pre-process the spectral ***,PCR was applied to estimate the optimal number of input ***,the input variables with an optimal amount were used as the inputs of both multiple linear regression and ANN *** initial weights and the number of hidden neurons were adjusted to optimize the performance of *** suggest that the predictive performance of ANN with two hidden neurons outperforms that of PCR.

关键词： Artificial neural network (ANN) Principal component regression (PCR) Visible and shortwave nearinfrared (VIS-SWNIR) Spectroscopy Apple Soluble solids content (SSC)

DNNBoT: Deep Neural Network-Based Botnet Detection and Classification

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Computers, Materials & Continua 2022年第4期71卷 1729-1750页

作者： Mohd Anul Haq Mohd abdul rahim Khan Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah 11952Saudi Arabia

The evolution and expansion of IoT devices reduced human efforts,increased resource utilization, and saved time;however, IoT devices createsignificant challenges such as lack of security and privacy, making them morevulnerable to IoT-based botnet attacks. There is a need to develop efficientand faster models which can work in real-time with efficiency and stability. The present investigation developed two novels, Deep Neural Network(DNN) models, DNNBoT1 and DNNBoT2, to detect and classify well-knownIoT botnet attacks such as Mirai and BASHLITE from nine compromisedindustrial-grade IoT devices. The utilization of PCA was made to featureextraction and improve effectual and accurate Botnet classification in IoTenvironments. The models were designed based on rigorous hyperparameterstuning with GridsearchCV. Early stopping was utilized to avoid the effects ofoverfitting and underfitting for both DNN models. The in-depth assessmentand evaluation of the developed models demonstrated that accuracy andefficiency are some of the best-performed models. The novelty of the presentinvestigation, with developed models, bridge the gaps by using a real datasetwith high accuracy and a significantly lower false alarm rate. The results wereevaluated based on earlier studies and deemed efficient at detecting botnetattacks using the real dataset.

关键词： Botnet network monitoring machine learning deep neural network IoT threat

Open-Source Software Defined Networking Controllers:State-of-the-Art,Challenges and Solutions for Future Network Providers

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Computers, Materials & Continua 2024年第7期80卷 747-800页

作者： Johari abdul rahim Rosdiadee Nordin Oluwatosin Ahmed Amodu Technology Strategy and Fundamental Planning(TSFP) Telekom MalaysiaCyberjayaSelangor60000Malaysia Department of Engineering School of Engineering and TechnologySunway University5Jalan UniversitiBandar SunwaySelangor47500Malaysia Department of Electrical Electronics&Systems EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangor43600Malaysia Information and Communication Engineering Department Elizade UniversityP.M.B.002Ilara-Mokin340271Nigeria

Software Defined Networking(SDN)is programmable by separation of forwarding control through the centralization of the *** controller plays the role of the‘brain’that dictates the intelligent part of SDN *** versions of SDN controllers exist as a response to the diverse demands and functions expected of *** are several SDN controllers available in the open market besides a large number of commercial controllers;some are developed tomeet carrier-grade service levels and one of the recent trends in open-source SDN controllers is the Open Network Operating System(ONOS).This paper presents a comparative study between open source SDN controllers,which are known as Network Controller Platform(NOX),Python-based Network Controller(POX),component-based SDN framework(Ryu),Java-based OpenFlow controller(Floodlight),OpenDayLight(ODL)and *** discussion is further extended into ONOS architecture,as well as,the evolution of ONOS *** article will review use cases based on ONOS controllers in several application ***,the opportunities and challenges of open source SDN controllers will be discussed,exploring carriergrade ONOS for future real-world deployments,ONOS unique features and identifying the suitable choice of SDN controller for service *** addition,we attempt to provide answers to several critical questions relating to the implications of the open-source nature of SDN controllers regarding vendor lock-in,interoperability,and standards compliance,Similarly,real-world use cases of organizations using open-source SDN are highlighted and how the open-source community contributes to the development of SDN ***,challenges faced by open-source projects,and considerations when choosing an open-source SDN controller are *** the role of Artificial Intelligence(AI)and Machine Learning(ML)in the evolution of open-source SDN controllers in light of recent research is *** ad

关键词： ONOS open source software SDN software defined networking

Electroless copper-phosphorus coatings with the addition of silicon carbide (SiC) particles

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International Journal of Minerals,Metallurgy and Materials 2011年第5期18卷 615-622页

作者： Soheila Faraji Afidah abdul rahim Norita Mohamed Coswald Stephen Sipaut School of Chemical Sciences Universiti Sains Malaysia11800 USMPenangMalaysia School of Engineering and Information Technology Universiti Malaysia Sabah88999 Kota KinabaluSabahMalaysia

Cu-P-silicon carbide （SiC） composite coatings were deposited by means of electroless *** effects of pH values,temperature,and different concentrations of sodium hypophosphite （NaH2PO2·H2O）,nickel sulfate （NiSO4·6H2O）,sodium citrate （C6H5Na3O7·2H2O） and SiC on the deposition rate and coating compositions were evaluated,and the bath formulation for Cu-P-SiC composite coatings was *** coating compositions were determined using energy-dispersive X-ray analysis （EDX）.The corresponding optimal operating parameters for depositing Cu-P-SiC are as follows：pH 9;temperature,90oC;NaH2PO2·H2O concentration,125 g/L;NiSO4·6H2O concentration,3.125 g/L;SiC concentration,5 g/L;and C6H5Na3O7·2H2O concentration,50 g/*** surface morphology of the coatings analysed by scanning electron microscopy （SEM） shows that Cu particles are uniformly *** hardness and wear resistance of Cu-P composite coatings are improved with the addition of SiC particles and increase with the increase of SiC content.

关键词： electroless deposited coating electroless copper plating silicon carbide particles sodium hypophosphite hardness wear resis-tance

Mechanical, tribological and anti-corrosive properties of polyaniline/graphene coated Mg-9Li-7Al-1Sn and Mg-9Li-5Al-3Sn-1Zn alloys

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Journal of Materials Science & Technology 2019年第8期35卷 1767-1778页

作者： Rita Maurya abdul rahim Siddiqui Prvan Kumar Katiyar Kantesh Balani Materials Science and Engineering Indian Institute of Technology Kanpur Kanpur 208016 India Centre for Material Science & Engineering National Institute of Technology Hamirpur Hamirpur 177005 India China-Canada Institute for Advanced Surface & Interface Science and Engineering Jiangsu University of Technology Changzhou 213001 China

The mechanical,tribological and corrosion protection offered to Mg-9Li-7Al-1Sn and Mg-9Li-5Al-3Sn-1Zn alloys by the epoxy coating containing polyaniline/graphene(PANI/Gr)pigments is undertaken in the current ***/Gr containing coatings were observed to be strongly adherent with a higher scratch hardness(Hs)and plowing hardness(Hp),*** 0.43 GPa,and Hpof 0.61 GPa,respectively when compared to that of neat epoxy coating(Hsof 0.17 GPa,and Hpof 0.40 GPa,respectively).Due to their higher Hsand Hpvalues,PANI/Gr based coatings displayed an enhanced wear resistance(Wear volume,Wv=4.53×10^-3 m^3)than that of neat epoxy coating(Wv=5.15×10^-3 m^3).The corrosion protection efficiency in corrosive environment of 3.5 wt%NaCl solution was obtained to be>99% for PANI/Gr containing coatings when compared to that of neat epoxy *** charge-transfer resistance(R(ct))of the PANI/Gr containing coatings were estimated to be>10^6 cm^2,which indicates their highly protective nature when compared to that of neat epoxy coating(R(ct)10^5 Ω cm^2).Hence,PANI/Gr containing coatings can be potentially used for wear resistance and corrosion protection applications in marine environments.

关键词： Mg-Li alloys Scratch hardness Plowing hardness Wear resistance Corrosion protection efficiency Charge transfer resistance

Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing

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Computers, Materials & Continua 2022年第4期71卷 1769-1788页

作者： Mohd Anul Haq Mohd abdul rahim Khan Talal AL-Harbi Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah 11952Saudi Arabia

Intrusion Detection System(IDS)plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT ***,anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion ***,we found many difficulty levels when applying IDS to IoT devices for identifying attempted *** this background,we designed a solution to detect intrusions using the Convolutional Neural Network(CNN)for Enhanced Data rates for GSM Evolution(EDGE)*** created two separate categories to handle the attack and non-attack events in the *** findings of this study indicate that this approach was significantly *** attempted both multiclass and binary *** the case of binary,we clustered all malicious traffic data in a single ***,we developed 13 layers of Sequential 1-D CNN for IDS detection and assessed them on the public dataset *** Component Analysis(PCA)was implemented to decrease the size of the feature vector based on feature extraction and *** approach proposed in the current investigation obtained accuracies of 99.34%and 99.13%for binary and multiclass classification,respectively,for the NSL-KDD *** experimental outcomes showed that the proposed Principal Component-based Convolution Neural Network(PCCNN)approach achieved greater precision based on deep learning and has potential use in modern intrusion detection for IoT systems.

关键词： IDS edge computing machine learning NSL-KDD IoT

Assessing the techno-economic feasibility of hybrid solar-hydrogen systems: A review of recent studies

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iEnergy

iEnergy 2024年第1期3卷 28-38页

作者： Emmanuel Akono Sarsah Albert Kojo Sunnu abdul-rahim Bawa Mechanical Engineering Department Dr.Hilla Limann Technical UniversityWaGhana Department of Mechanical Engineering Kwame Nkrumah University of Science and TechnologyKumasiGhana

Transition toward a sustainable,low-carbon energy future requires innovative,integrated *** solar-hydrogen systems(HSHSs),which combine solar energy harvesting and hydrogen production,have excellent prosepects to address challenges related to renewable energy generation,storage,and *** article presents an overview of the research on the technical and economic feasibility of HSHSs,aimed at comprehensively articulating their current state,notable advancements,and future research *** begins by elucidating solar energy principles and conversion methods and emphasizing the potential of solar energy for hydrogen *** study then explores the definitions,components,and synergistic integration of *** energy conversion and storage methods for efficient hydrogen production and storage are also *** study reviews the techniques employed for techno-economic evaluations over the last six years,addressing challenges such as the intermittency of solar energy and the efficiency of hydrogen production *** review of the ongoing research provides helpful insights into the technological and economic feasibility of *** underscores the necessity of continuous research and development efforts to overcome existing challenges and unlock their full *** systems can play a vital role in achieving a cleaner and more resilient energy future by optimizing the system performance,reducing costs,and fostering supportive policy frameworks.

关键词： Hybrid solar-hydrogen systems techno-economic feasibility solar energy hydrogen production renewable energy integration

Elemental Assessments in Paddy Soil for Geographical Traceability of Rice from Peninsular Malaysia

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Rice science 2023年第5期30卷 486-498页

作者： Nazaratul Ashifa abdullah SALIM Norlida Mat DAUD Julieta GRIBOFF abdul rahim HARUN Department of Food Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia Malaysian Nuclear Agency 43000 KajangSelangorMalaysia Innovation Centre for Confectionery Technology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 BangiSelangorMalaysia National Council for Scientific and Technical Research/Centre for Research in Clinical Biochemistry Immunology/Clinical Biochemistry Department Faculty of Chemical ScienceNational University of Córdoba/Ciudad UniversitariaMedina Allende esq.Haya de la Torre s/n5000 CórdobaArgentina

This investigation aimed to establish the geographical traceability of Malaysian rice by assessing the elemental composition in paddy ***-element determination in combination with a chemometric approach was applied to evaluate the elemental concentrations of paddy soil from granaries cultivated with the same rice variety and to assess the relationship between elements in the soil and rice(SAR) system.A total of 29 elements(aluminum,arsenic,barium,bromine,calcium,chlorine,cobalt,chromium,cesium,europium,iron,gallium,hafnium,potassium,lanthanum,lutetium,magnesium,manganese,sodium,rubidium,antimony,scandium,samarium,thorium,titanium,uranium,vanadium,ytterbium and zinc) were successfully determined in paddy soil from Kedah,Selangor and Langkawi by neutron activation analysis.A significant difference(P < 0.05) between 18 elements in the soil samples was *** chemometric approaches of principal component and linear discriminant analyses demonstrated clear discrimination and highly corrected classification(100%) of the soil samples.A high classification(98.1%) was also achieved by assessing 10 elements(aluminum,arsenic,bromine,chlorine,potassium,magnesium,manganese,sodium,rubidium and zinc),which similarly applied to rice geographical origin *** elements in SAR were also observed for differences in the pattern of correlation and bioaccumulation factor between the ***,the generalized Procrustes analysis showed a 98% consensus between SAR and clear differences between the studied *** canonical correlation analysis demonstrated a significant correlation between the chemical profile of SAR(r~2 = 0.88,P < 0.001).Therefore,the current work model provides a reliable assessment to establish rice provenance.

关键词： soil rice multi-element correlation geographical origin

Secure Transmission of Compressed Medical Image Sequences on Communication Networks Using Motion Vector Watermarking

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Computers, Materials & Continua 2024年第3期78卷 3283-3301页

作者： Rafi Ullah Mohd Hilmi bin Hasan Sultan Daud Khan Mussadiq abdul rahim Computer and Information Sciences Department Universiti Teknologi PETRONASBandar Seri Iskandar Perak32610Malaysia Department of Computer Science National University of TechnologyIslamabad46000Pakistan Interdisciplinary Research Center for Intelligent Secure Systems King Fahd University of Petroleum and MineralsDammam31261Saudi Arabia

Medical imaging plays a key role within modern hospital management systems for diagnostic *** methodologies are extensively employed to mitigate storage demands and enhance transmission speed,all while upholding image ***,an increasing number of hospitals are embracing cloud computing for patient data storage,necessitating meticulous scrutiny of server security and privacy ***,considering the widespread availability of multimedia tools,the preservation of digital data integrity surpasses the significance of compression *** response to this concern,we propose a secure storage and transmission solution for compressed medical image sequences,such as ultrasound images,utilizing a motion vector watermarking *** watermark is generated employing an error-correcting code known as Bose-Chaudhuri-Hocquenghem(BCH)and is subsequently embedded into the compressed sequence via block-based motion *** the process of watermark embedding,motion vectors are selected based on their magnitude and phase *** embedding watermarks,no specific spatial area,such as a region of interest(ROI),is used in the *** embedding of watermark bits is dependent on motion *** reversible watermarking allows the restoration of the original image sequences,we use the irreversible watermarking *** reason for this is that the use of reversible watermarks may impede the claims of ownership and legal *** restoration of original data or images may call into question ownership or other legal *** peak signal-to-noise ratio(PSNR)and structural similarity index(SSIM)serve as metrics for evaluating the watermarked image *** all images,the PSNR value exceeds 46 dB,and the SSIM value exceeds *** results substantiate the efficacy of the proposed technique in preserving data integrity.

关键词： Block matching algorithm(BMA) compression full-search algorithm motion vectors ultrasound image sequence watermarking