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Performance Analysis of Modulation Techniques in 5G Communication System

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China Communications 2022年第8期19卷 100-114页

作者： Muhammet tahir Guneser ahmed Salahaldeenali Sahab Cihat Seker Electrical and Electronics Engineering Department Engineering FacultyKarabuk UniversityTurkey

In the 5^(th) generation mobile communication(5G)system,better bitrate,better power consumption,and better Bit Error Rate are *** meet all these requirements in 5G,the waveform is *** the Orthogonal Frequency Division Multiplexing(OFDM)modulation scheme has been commonly used in 4G,it is difficult to meet the requirements of 5G.A lot of candidate waveforms are discussed in the 5G system included Filter Bank Multicarrier(FBMC),Universal Filtered Multicarrier(UFMC),Filtered OFDM(F-OFDM),and Generalized Frequency Division Multiplexing(GFDM),***,since GFDM is no longer widely used,in this paper,FBMC,UFMC,and F-OFDM modulation schemes are discussed and compared with *** Spectral Density(PSD),Bit Error Rate(BER),Transmitted Signal Power,Peak Average Power Ratio(PAPR)and Bit Rate parameters of the modulation schemes are studied and compared with *** demonstrates to be the most promising modulation scheme for 5G systems.

关键词： PSD PAPR OFDM FBMC UFMC FOFDM

Energy Theft Detection in Smart Grids:Taxonomy,Comparative Analysis,Challenges,and Future Research Directions

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IEEE/CAA Journal of Automatica Sinica 2022年第4期9卷 578-600页

作者： Mohsin ahmed Abid Khan Mansoor ahmed Mouzna tahir Gwanggil Jeon Giancarlo Fortino Francesco Piccialli the Department of Computer Science COMSATS University Islamabad the Department of Computer Science School of ComputingEngineering and Digital TechnologiesTeesside University the Innovative Value Institute Maynooth University the Department of Computer Science Bahria University the School of Electronic Engineering Xidian University the Department of Embedded Systems Engineering Incheon National University IEEE the Department of Informatics ModelingElectronics and SystemsUniversity of Calabria the Department of Mathematics and Applications“R.Caccioppoli” University of Naples FedericoⅡ

Electricity theft is one of the major issues in developing countries which is affecting their economy *** with the introduction of emerging technologies,this issue became more *** many new energy theft detection(ETD)techniques have been proposed by utilising different data mining(DM)techniques,state&network(S&N)based techniques,and game theory(GT)***,a detailed survey is presented where many state-of-the-art ETD techniques are studied and analysed for their strengths and *** levels of taxonomy are presented to classify state-of-the-art ETD *** types and ways of energy theft and their consequences are studied and summarised and different parameters to benchmark the performance of proposed techniques are extracted from *** challenges of different ETD techniques and their mitigation are suggested for future *** is observed that the literature on ETD lacks knowledge management techniques that can be more effective,not only for ETD but also for theft *** can help in the prevention of energy theft,in the future,as well as for ETD.

关键词： Challenges comparative analysis energy theft detection future research directions smart grid taxonomy

Characterization and anticancer potential of Withania somnifera fruit bioactives(a native species to Pakistan)using gas chromatography-mass spectrometer,nuclear magnetic resonance and liquid chromatography-mass spectrometry-electrospray ionization

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Journal of Traditional Chinese Medicine 2022年第6期42卷 908-914页

作者： Qudsia Tabassam tahir Mehmood Sibtain ahmed Farooq Anwar Abdul Rauf Raza Institute of Chemistry University of SargodhaSargodha-40100Pakistan Institute of Biochemistry and Biotechnology University of Veterinary and Animal Sciences-UVAS54000-Lahore.Pakistan University of California San Diego 9500 Gilman Drive La JollaCA 92093USA

INTRODUCTION:Withania somnifera(***)is a plant with remarkable pharmacological *** plant has an impressive profile of medicinal uses in the folk medicine system of several ***:This comprehensive study is aimed to characterize phytochemicals in fruit of *** and tested for in vitro anticancer potential to find out active candidate in disease prevention and ***:The bioactive components from *** fruit were extracted with polar and non-polar *** potential of the isolated bioactive was assessed against different cancer cell lines through MTT assay and Incucytes imaging *** extracts were characterized for secondary metabolites using GCMS(gas chromatography-mass spectrometer),LCMS(liquid(electrospray Ionization)and 1H-NMR(electrospray Ionization)***:Both freeze-dried and rotary evaporator condensed extracts exhibited anticancer potential against MDA-MB-231,MCF7-SKOV3 and SKBR3 cell *** tested extracts have cell growth inhibition potential against mammalian cancer cell *** acid purified from n-hexane extract through HPLC was investigated for its cytotoxicity against breast cancer cell line SKBR3 by using Incucytes imaging ***:We found that a variety of bioactive compounds existed in this *** identified compound that was not investigated for cytotoxicity in previous studies was purified and its application showed cytotoxicity on breast cancer cell lines.A number of bioactive identified from *** fruit may have an effective potential for development into chemotherapy drugs.

关键词： phytochemicals plants medicinal anti-cancer activities purification state-of-the-art techniques

Phase analysis of AlFe2B2 by synchrotron X-ray diffraction,magnetic and M?ssbauer studies

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Progress in Natural Science:Materials International 2017年第2期27卷 251-256页

作者： tahir Ali M.N.Khan E.ahmed Asad Ali Physics Division Pakistan Institute of Nuclear Science and technology Department of Physics Abdul Wali Khan University PINSAT Preston University

The structural and magnetic properties of essentially phase pure AlFe2B2prepared by arc melting were compared with a sample containing impurities. Analysis was carried out by means of synchrotron X-ray diffraction, magnetic measurements and M?ssbauer spectroscopy. The analysis of synchrotron X-ray diffraction data confirmed the orthorhombic structure of space group Cmmm for AlFe2B2with Al13Fe4as main impurity phase. The magnetic measurements revealed an unsaturated ferromagnetic state in AlFe2B2with a transition temperature（Tc） of 286 K. Isothermal magnetization measurment at 5 K gave a saturation magnetization of 0.7 μB per Fe atom while Arrott plots establish the second order nature of ferromagnetic transition. The thermal evolution of M?ssbauer spectra confirmed the ferromagnetic nature of this material revealing an hyperfine field of 73 kOe and an isomer shift of 0.46 mm/s at 100 K. The M?ssbauer spectra of a phase pure sample was compared with the one containing impurity phases. It is suggested that the low temperature paramagnetic contribution in M?ssbauer spectra of phase pure material may have its origin in some intrinsic phenomena arising from defects or inhomogeneities in crystal structure.

关键词： AlFe2B2 Synchrotron X-ray diffraction Ferromagnetism Mossbauer effect spectroscopy

Medicinal plants and phytomedicines are used to treat or prevent illnesses in Sudan: a review

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Traditional Medicine Research 2023年第1期8卷 20-25页

作者： Abdalbasit Mariod ahmed Mohamedain Haroon Elrasheid tahir College of Science and Arts Alkamil BranchUniversity of JeddahAlkamil 21931Kingdom of Saudi Arabia. Indigenous Knowledge and Heritage Centre Ghibaish College of Science and TechnologyP.O.Box 110GhibaishSudan Department of Biomedical Sciences College of MedicineKing Faisal UniversityAl-Hofuf 31982Kingdom of Saudi Arabia Department of Biochemistry Faculty of MedicineKhartoum UniversityP.O.Box 102Khartoum 11111Sudan. School of Food and Biological Engineering Jiangsu UniversityZhenjiang 212013China.

Traditional medicine is a reliable source for treating many diseases in *** is widely recognized in Sudan,as no Sudanese house is devoid of medicinal *** Sudanese people and their historical stock of knowledge are distinguished by their knowledge and the many applications of herbs in *** reference paper aims to collect all the available information about the use of medicinal plants in Sudan to treat disease or prevent *** medicinal plants include a variety of plants and there are many medicinal applications for these plants in the *** to the information reached by the paper,there are many therapeutic medical applications of these plants in the treatment of various bacterial infections,including digestive diseases,malaria,diabetes,rheumatic pain,respiratory diseases,jaundice,urinary tract infections,wounds,cancer and various microbial infections,according to the information reached by the *** reference is for a few groups of Sudanese medicinal plants such as tamarind,hibiscus,Acacia nilotica,Combretum hartmannianum,and Guiera senegalensis,*** review article also showed that these plants contain many biologically active substances as active ingredients,including flavonoids,saponins,alkaloids,stimulants,terpenes,tannins,fatty acids and essential *** though Sudanese people use herbal medicine to treat a wide range of illnesses,more research is needed to show that these plants are safe and effective for people to *** example,phytochemical analysis,biochemical activity tests and toxicology studies should be done to show that these plants are safe and effective for people to use.

关键词： medicinal plants phytomedicines tamarind hibiscus Acacia nilotica Combretum hartmannianum Guiera senegalensis

Cartesian Product Based Transfer Learning Implementation for Brain Tumor Classification

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Computers, Materials & Continua 2022年第11期73卷 4369-4392页

作者： Irfan ahmed Usmani Muhammad tahir Qadri Razia Zia Asif Aziz Farheen Saeed Electronic Engineering Department Sir Syed University of Engineering&TechnologyKarachi75300Pakistan Department of Computer Science Bahria University Karachi CampusKarachi75260Pakistan Christus Trinity Clinic TexasUSA

Knowledge-based transfer learning techniques have shown good performance for brain tumor classification,especially with small ***,to obtain an optimized model for targeted brain tumor classification,it is challenging to select a pre-trained deep learning(DL)model,optimal values of hyperparameters,and optimization algorithm(solver).This paper first presents a brief review of recent literature related to brain tumor ***,a robust framework for implementing the transfer learning technique is *** the proposed framework,a Cartesian product matrix is generated to determine the optimal values of the two important hyperparameters:batch size and learning *** extensive exercise consisting of 435 simulations for 11 state-of-the-art pre-trained DL models was performed using 16 paired hyperparameters from the Cartesian product matrix to input the model with the three most popular solvers(stochastic gradient descent with momentum(SGDM),adaptive moment estimation(ADAM),and root mean squared propagation(RMSProp)).The 16 pairs were formed using individual hyperparameter values taken from literature,which generally addressed only one hyperparameter for optimization,rather than making a grid for a particular *** proposed framework was assessed using a multi-class publicly available dataset consisting of glioma,meningioma,and pituitary *** assessment shows that ResNet18 outperforms all other models in terms of accuracy,precision,specificity,and recall(sensitivity).The results are also compared with existing state-of-the-art research work that used the same *** comparison was mainly based on performance metric“accuracy”with support of three other parameters“precision,”“recall,”and“specificity.”The comparison shows that the transfer learning technique,implemented through our proposed framework for brain tumor classification,outperformed all existing *** the best of our knowledge,the proposed framework is a

关键词： Deep transfer learning Cartesian product hyperparameter optimization magnetic resonance imaging(MRI) brain tumor classification

Automated Classification of Snow-Covered Solar Panel Surfaces Based on Deep Learning Approaches

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2291-2319页

作者： Abdullah ahmed Al-Dulaimi Muhammet tahir Guneser Alaa Ali Hameed Mohammad Shukri Salman Department of Electrical and Electronics Engineering Karabuk UniversityKarabuk78100Turkey Department of Computer Engineering Istinye UniversityIstanbul34303Turkey College of Engineering and Technology American University of the Middle EastEgaila54200Kuwait

Recently,the demand for renewable energy has increased due to its environmental and economic *** panels are the mainstay for dealing with solar energy and converting it into another form of usable *** panels work under suitable climatic conditions that allow the light photons to access the solar cells,as any blocking of sunlight on these cells causes a halt in the panels work and restricts the carry of these ***,the panels are unable to work under these conditions.A layer of snow forms on the solar panels due to snowfall in areas with low ***,it causes an insulating layer on solar panels and the inability to produce electrical *** detection of snow-covered solar panels is crucial,as it allows us the opportunity to remove snow using some heating techniques more efficiently and restore the photovoltaics system to proper *** paper presents five deep learning models,■-16,■-19,ESNET-18,ESNET-50,and ESNET-101,which are used for the recognition and classification of solar panel *** this paper,two different cases were applied;the first case is performed on the original dataset without trying any kind of preprocessing,and the second case is extreme climate conditions and simulated by generating motion ***,the dataset was replicated using the upsampling technique in order to handle the unbalancing *** conducted dataset is divided into three different categories,namely;all_snow,no_snow,and partial *** fivemodels are trained,validated,and tested on this dataset under the same conditions 60%training,20%validation,and testing 20%for both *** accuracy of the models has been compared and verified to distinguish and classify the processed *** accuracy results in the first case showthat the comparedmodels■-16,■-19,ESNET-18,and ESNET-50 give 0.9592,while ESNET-101 gives *** the second case,the models outperformed their counterparts in the first case by evaluating performan

关键词： Deep learning CNN models image classification solar panels solar panel defect detection

Synthesis, Crystal Structure and DNA Interaction Study of 3-(2-(3,5-Diphenyl-4,5-dihydropyrazol-1-yl)thiazol-4-yl)-2H-chromen-2-one

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Chinese Journal of Structural Chemistry 2015年第7期34卷 1013-1018页

作者： MURTAZA Madni SHAHID Hameed MUHAMMAD Naeem ahmed KHAWAJA Ansar Yasin MUHAMMAD Nawaz tahir Department of Chemistry Quaid-i-Azam University Department of Chemistry The University of Azad Jammu and Kashmir University of Sargodha Department of Physics

A new compound 3-（2-（3,5-diphenyl-4,5-dihydropyrazol-1-yl）thiazol-4-yl）-2Hchromen-2-one was synthesized by cyclocondensation of 3,5-diphenyl-4,5-dihydropyrazole-1-carbothioamide with 3-（2-bromoacetyl）-2H-chromen-2-one in ethanol at reflux for 2hrs. The compound was characterized by IR, 1H-NMR, 13C-NMR and single-crystal X-ray diffraction analysis. The newly synthesized compound（C27H19N3O2S） crystallizes in the triclinic system, space group P1 with a = 5.2476（6）, b = 18.289（2）, c = 23.115（3） , α = 93.546（7）, β = 94.715（6）, γ = 92.347（7）°, V = 2204.3（4）3, Z = 4, Mr = 449.51, crystal size = 0.38 mm × 0.22 mm × 0.16 mm,（I 2σ（I）） = 35317, 9736, 3785, Rint = 0.081,（Δρ）max = 0.19 and（Δρ）min = –0.24 e·-3. DNA interaction studies revealed that the target compound strongly interacts with DNA through an intercalation binding mode and the binding constant of the compound is 7.45 × 104 M-1.

关键词： binding constant DNA Interaction crystal structure cyclocondensation reaction 1 3-thiazole

Innovative Fungal Disease Diagnosis System Using Convolutional Neural Network

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Computers, Materials & Continua 2022年第12期73卷 4869-4883页

作者： tahir Alyas Khalid Alissa Abdul Salam Mohammad Shazia Asif Tauqeer Faiz Gulzar ahmed Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Networks and Communications Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of General Education Skyline University CollegeUniversity City of SharjahUAE Higher Colleges of Technology Abu DhabiUAE Department of Enterprise Computing Skyline University CollegeSharjahUAE Department of Computer Science University of South AsiaLahore54000Pakistan

Fungal disease affects more than a billion people worldwide,resulting in different types of fungus diseases facing life-threatening *** outer layer of your body is called the integumentary *** skin,hair,nails,and glands are all part of *** organs and tissues serve as your first line of defence against bacteria while protecting you from harm and the *** It serves as a barrier between the outside world and the regulated environment inside our bodies and a regulating ***,light,damage,and illness are all protected by ***-caused infections are found in almost every part of the natural *** an invasive fungus takes over a body region and overwhelms the immune system,it causes fungal infections in *** primary goal of this study was to create a Convolutional Neural Network(CNN)-based technique for detecting and classifying various types of fungal *** are numerous fungal illnesses,but only two have been identified and classified using the proposed Innovative Fungal Disease Diagnosis(IFDD)system of Candidiasis and Tinea *** paper aims to detect infected skin issues and provide treatment recommendations based on proposed system *** identify and categorize fungal infections,deep machine learning techniques are utilized.A CNN architecture was created,and it produced a promising outcome to improve the proposed system *** collected findings demonstrated that CNN might be used to identify and classify numerous species of fungal spores early and estimate all conceivable fungus *** CNN-Based can detect fungal diseases through medical images;earmarked IFDD system has a predictive performance of 99.6%accuracy.

关键词： Deep machine learning CNN ReLU skin disease fungal