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Electrical, Thermal, Photocatalytic and Antibacterial Studies of Metallic Oxide Nanocomposite Doped Polyaniline

Journal of Materials Science & Technology 2013年第9期29卷 795-800页

作者： Saima Sultana Rafuddin mohammad Zain Khan khalid Umar M.Muneer Membrane Research Laboratory Department of Chemistry Faculty of Science Aligarh Muslim University Department of Civil Environmental and Geomatic Engineering Chadwick Building University College London Environmental Research Laboratory Department of Chemistry Faculty of Science Aligarh Muslim University

ZnO-ZrO2 nanocomposite was prepared by sol-gel method and in-situ polymerization was used to synthesize ZnO-ZrO2 nanocomposite doped polyaniline （PANI）. The materials were characterized by X-ray diffraction （XRD）, Fourier transform infrared （FTIR） spectroscopy, transmission electron microscopy （TEM）, scanning electron microscopy （SEM） and energy dispersive X-ray spectroscopy （EDX） to ensure the crystallite size, functional groups, morphology and chemical composition of the polymer nanocomposite complex. The average particle size of the ZnO-Zr02 nanoparticles was found to be 20.5 nm. Thermal gravimetric analysis （TGA） was used to study the thermal stability of the complex, shows improved thermal stability of polymer nanocomposite as compared to the pure organic polymer. The material also possesses good electrical conductivity. Additionally, the photocatalytic activity of the materials was investigated by monitoring the decolorization of Acid Blue 29 dye in a UV photocatalytic reactor and PANI-ZnO-ZrO2 was found to possess higher photocatalytic activity than pure PANI. Finally, the antibacterial activity of the materials was examined and it was observed that PANI-ZnO-ZrO2 could be used as an excellent antibacterial agent. Hence, desired properties could be integrated by mixing appropriate phases of the materials for specific applications such as heterogeneous catalyst, antibacterial agents, antibiotics delivery and high temperature conducting polymers.

关键词： Nanocomposites Polyaniline Electrical conductivity Photocatalyst Antibacterial agents

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A genetic algorithm based lookup table approach for optimal stepping sequence of open-loop stepper motor systems

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控制理论与应用（英文版） 2013年第1期11卷 35-41页

作者： Suleiman BANIHANI khalid AL-WIDYAN Ahmad AL-JARRAH mohammad ABABNEH Mechatronics Engineering Department The Hashemite University

Stepper motor driven systems are widely used in industrial applications. They are mainly used for their low cost open-loop high performance. However, as dynamic systems need to be increasingly faster and their motion more precise, it is important to have an open-loop system which is accurate and reliable. In this paper, we present a novel technique in which a genetic algorithm （GA） based lookup table approach is used to find the optimal stepping sequence of an open-loop stepper motor system. The optimal sequence objective is to minimize residual vibration and to accurately follow trajectory. A genetic algorithm is used to find the best stepping sequence which minimizes the error and improves the system performance. Numerical simulation has showed the effectiveness of our approach to improve the system performance for both position and velocity. The optimized system reduced the residual vibration and was able to follow the trajectory with minimal error.

关键词： Stepper motor Open-loop Genetic algorithm Optimal Stepping sequence Control

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Surface Morphology and Thermo-Electrical Energy Analysis of Polyaniline (PANI) Incorporated Cotton Fabric

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Energy Engineering 2024年第1期121卷 1-12页

作者： Md.Shohan parvez Md.Mustafizur Rahman Mahendran Samykano mohammad Yeakub Ali Automotive Engineering Research Group Faculty of Mechanical and Automotive Engineering TechnologyUniversiti Malaysia Pahang Al-Sultan AbdullahPekanMalaysia Department of Textile Engineering Khulna University of Engineering&Technology(KUET)KhulnaBangladesh Centre for Research in Advanced Fluid and Processes(CARIFF) Universiti Malaysia Pahang Al-Sultan AbdullahLebuhraya Tun RazakGambangMalaysia Mechanical Engineering Programme Area Faculty of EngineeringUniversiti Teknologi BruneiBruneiDarussalam

With the exponential development in wearable electronics,a significant paradigm shift is observed from rigid electronics to flexible wearable ***(PANI)is considered as a dominant material in this sector,as it is endowed with the optical properties of both metal and ***,its widespread application got delineated because of its irregular rigid form,level of conductivity,and precise choice of *** PANI in textile materials can generate promising functionality for wearable *** research work employed a straightforward in-situ chemical oxidative polymerization to synthesize PANI on Cotton fabric surfaces with varying dopant(HCl)***-treatment using NaOH is implemented to improve the conductivity of the fabric surface by increasing the monomer *** research explores the morphological and structural analysis employing SEM,FTIR and *** surface resistivity was measured using a digital multimeter,and thermal stability is measured using *** successful polymerization,a homogenous coating layer is *** is revealed that the simple pre-treatment technique significantly reduces the surface resistivity of Cotton fabric to 1.27 kΩ/cm with increasing acid concentration and thermal *** electro-thermal energy can also reach up to 38.2°C within 50 s with a deployed voltage of 15 *** modified fabric is anticipated to be used in thermal regulation,supercapacitor,sensor,UV shielding,antimicrobial and other prospective functional applications.

关键词： Polyaniline cotton in-situ polymerization SEM TGA heating fabric

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Periodicals in andrology： an overview

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Asian Journal of Andrology 2014年第4期16卷 654-655页

作者： Ahmad Al Aboud khalid AI Aboud mohammad Hakim King Abdullah Medical City King Faisal Hospital Makah Saudi Arabia.

Andrology is a medical specialty which is concerned with male reproductive andsexual functions. There are several peer-reviewed andrology journals.1-9 As shown in Table 1, we highlighted alphabetically on some selected andrology periodicals. However, there are additional periodicals which are not included in Table 1. For example：

关键词： @@

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Performance Evaluation of Deep Dense Layer Neural Network for Diabetes Prediction

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Computers, Materials & Continua 2023年第7期76卷 347-366页

作者： Niharika Gupta Baijnath Kaushik mohammad khalid Imam Rahmani Saima Anwar Lashari Department of Computer Science and Engineering Shri Mata Vaishno Devi UniversityKatraJ&KIndia College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia

Diabetes is one of the fastest-growing human diseases worldwide and poses a significant threat to the population’s longer *** prediction of diabetes is crucial to taking precautionary steps to avoid or delay its *** this study,we proposed a Deep Dense Layer Neural Network(DDLNN)for diabetes prediction using a dataset with 768 instances and nine *** also applied a combination of classical machine learning(ML)algorithms and ensemble learning algorithms for the effective prediction of the *** classical ML algorithms used were Support Vector Machine(SVM),Logistic Regression(LR),Decision Tree(DT),K-Nearest Neighbor(KNN),and Naïve Bayes(NB).We also constructed ensemble models such as bagging(Random Forest)and boosting like AdaBoost and Extreme Gradient Boosting(XGBoost)to evaluate the performance of prediction *** proposed DDLNN model and ensemble learning models were trained and tested using hyperparameter tuning and K-Fold cross-validation to determine the best parameters for predicting the *** combined ML models used majority voting to select the best outcomes among the *** efficacy of the proposed and other models was evaluated for effective diabetes *** investigation concluded that the proposed model,after hyperparameter tuning,outperformed other learning models with an accuracy of 84.42%,a precision of 85.12%,a recall rate of 65.40%,and a specificity of 94.11%.

关键词： Diabetes prediction hyperparameter tuning k-fold validation machine learning neural network

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Cyberbullying Detection and Recognition with Type Determination Based on Machine Learning

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Computers, Materials & Continua 2023年第6期75卷 5307-5319页

作者： khalid M.O.Nahar mohammad Alauthman Saud Yonbawi Ammar Almomani Computer Science Department Yarmouk UniversityIrbidJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan Software Engineering Department University of JeddahJeddahKSA Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE IT Department-Al-Huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan

Social media networks are becoming essential to our daily activities,and many issues are due to this great involvement in our *** is a social media network issue,a global crisis affecting the victims and society as a *** results from a misunderstanding regarding freedom of *** this work,we proposed a methodology for detecting such behaviors(bullying,harassment,and hate-related texts)using supervised machine learning algo-rithms(SVM,Naïve Bayes,Logistic regression,and random forest)and for predicting a topic associated with these text data using unsupervised natural language processing,such as latent Dirichlet *** addition,we used accuracy,precision,recall,and F1 score to assess prior *** show that the use of logistic regression,support vector machine,random forest model,and Naïve Bayes has 95%,94.97%,94.66%,and 93.1%accuracy,respectively.

关键词： Cyberbullying social media naïve bayes support vector machine natural language processing LDA

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Light-Weighted Decision Support Framework for Selecting Cloud Service Providers

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Computers, Materials & Continua 2023年第2期74卷 4293-4317页

作者： Abdulmajeed Aljuhani Abdulaziz Alhubaishy mohammad khalid Imam Rahmani Ahmad A.Alzahrani College of Computer Science and Engineering Taibah UniversityMedina41411Saudi Arabia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Computer Science Common First Year DeanshipUmm-AlQura UniversityMakkahMKSaudi Arabia

Multi-criteria decision making(MCDM)is a technique used to achieve better outcomes for some complex business-related problems,whereby the selection of the best alternative can be made in as many cases as *** paper proposes a model,the multi-criteria decision support method,that allows both service providers and consumers to maximize their profits while preserving the best matching process for resource allocation and task *** increasing number of service providers with different service provision capabilities creates an issue for consumers seeking to select the best service *** consumer seeks a service provider based on various preferences,such as price,service quality,and time to complete the *** the literature,the problem is viewed from different perspectives,such as investigating how to enhance task scheduling and the resource allocation process,improve consumers’trust,and deal with network *** paper offers a novel model that considers the preferences of both service providers and consumers to find the best available service provider for each ***,the model adopts the best-worst method(BWM)to gather and prioritize tasks based on consumers’and service providers’***,the model calculates and matches similarities between the sets of tasks from the consumer’s side with the sets of tasks from the provider’s side to select the best service provider for each consumer using the two proposed *** complexity of the two algorithms is found to be O(n3).

关键词： Best worst method BWM cloud service provider decision support methods

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Far and Near Optimization:A New Simple and Effective Metaphor-LessOptimization Algorithm for Solving Engineering Applications

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Computer Modeling in Engineering & Sciences 2024年第11期141卷 1725-1808页

作者： Tareq Hamadneh khalid Kaabneh Omar Alssayed Kei Eguchi Zeinab Monrazeri mohammad Dehghani Department of Matematics Al Zaytoonah University of JordanAmman11733Jordan Jadara Research Center Jadara UniversityIrbid21110Jordan Faculty of Information Technology Al-Ahliyya Amman UniversityAmman19328Jordan Department of Mathematics Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan Department of Information Electronics Fukuoka Institute of TechnologyFukuoka811-0295Japan Department of Electrical and Electronics Engineering Shiraz University of TechnologyShiraz***Iran

In this article,a novel metaheuristic technique named Far and Near Optimization(FNO)is introduced,offeringversatile applications across various scientific domains for optimization *** core concept behind FNO lies inintegrating global and local search methodologies to update the algorithm population within the problem-solvingspace based on moving each member to the farthest and nearest member to *** paper delineates the theoryof FNO,presenting a mathematical model in two phases:(i)exploration based on the simulation of the movementof a population member towards the farthest member from itself and(ii)exploitation based on simulating themovement of a population member towards the nearest member from ***’s efficacy in tackling optimizationchallenges is assessed through its handling of the CEC 2017 test suite across problem dimensions of 10,30,50,and 100,as well as to address CEC *** optimization results underscore FNO’s adeptness in exploration,exploitation,and maintaining a balance between them throughout the search process to yield viable *** analysis against twelve established metaheuristic algorithms reveals FNO’s superior *** findings indicate FNO’s outperformance of competitor algorithms,securing the top rank as the mosteffective optimizer across a majority of benchmark ***,the outcomes derived by employing FNOon twenty-two constrained optimization challenges from the CEC 2011 test suite,alongside four engineering designdilemmas,showcase the effectiveness of the suggested method in tackling real-world scenarios.

关键词： Optimization stochastic method far near metaheuristic algorithm exploration exploitation

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Fusion of Infrared and Visible Images Using Fuzzy Based Siamese Convolutional Network

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Computers, Materials & Continua 2022年第3期70卷 5503-5518页

作者： Kanika Bhalla Deepika Koundal Surbhi Bhatia mohammad khalid Imam Rahmani Muhammad Tahir Department of Electrical Engineering National Taipei University of TechnologyTaipei10608Taiwan Department Virtualization School of Computer ScienceUniversity of Petroleum&Energy StudiesDehradunIndia College of Computer Science and Information technology King Faisal University36362Saudi Arabia College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia

Traditional techniques based on image fusion are arduous in integrating complementary or heterogeneous infrared(IR)/visible(VS)*** in various kind of features in these images are vital to preserve in the single fused ***,simultaneous preservation of both the aspects at the same time is a challenging ***,most of the existing methods utilize the manual extraction of features;and manual complicated designing of fusion rules resulted in a blurry artifact in the fused ***,this study has proposed a hybrid algorithm for the integration of multi-features among two heterogeneous ***,fuzzification of two IR/VS images has been done by feeding it to the fuzzy sets to remove the uncertainty present in the background and object of interest of the ***,images have been learned by two parallel branches of the siamese convolutional neural network(CNN)to extract prominent features from the images as well as high-frequency information to produce focus maps containing source image ***,the obtained focused maps which contained the detailed integrated information are directly mapped with the source image via pixelwise strategy to result in fused *** parameters have been used to evaluate the performance of the proposed image fusion by achieving 1.008 for mutual information(MI),0.841 for entropy(EG),0.655 for edge information(EI),0.652 for human perception(HP),and 0.980 for image structural similarity(ISS).Experimental results have shown that the proposed technique has attained the best qualitative and quantitative results using 78 publically available images in comparison to the existing discrete cosine transform(DCT),anisotropic diffusion&karhunen-loeve(ADKL),guided filter(GF),random walk(RW),principal component analysis(PCA),and convolutional neural network(CNN)methods.

关键词： Convolutional neural network fuzzy sets infrared and visible image fusion deep learning

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Rate of elapsed polymerization of hydroxyethylacrylate gel induced by gamma irradiation

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Nuclear Science and Techniques 2008年第4期19卷 218-222页

作者： khalid Ahmed RABAEH Elias SAION mohammad Ahmed Ali OMER Azhar Abdul RAHMAN mohammad Yusif HUSSAIN Shahrim ISKANDAR Noria mohammad ALI Department of Physics Universiti Putra Malaysia 43400 UPM SerdangSelangorMalaysia Nuclear Agency of Malaysia

The rate of elapsed polymerization of polyhydroxyethylacrylate in gelatin has been studied to investigate the effect of co-monomers consumption at a given dose. The polymer gel dosimeters consisted of 2%～4% N,N-methyelene-bis-acrylamide cross-linker,2%～4% 2-hydroxyethylacrylate monomer and gelatin at 3% and 5%. The dosimeters were irradiated by using 60Co teletherapy γ-ray source up to 20 Gy at a constant dose rate. The relaxation rate of water proton in the dosimeters at different doses and co-monomer concentrations were measured using a nuclear magnetic resonance spectroscopy. The rate of elapsed polymerization decreases with increasing the dose and the initial concentration of co-monomers. The rate of consumption of co-monomers increases with an increase of the polymerization and the gelatin content of the polymer gel.

关键词：高聚物缓和速度剂量器射线

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