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Design of ANN Based Non-Linear Network Using Interconnection of Parallel Processor

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Computer Systems Science & Engineering 2023年第9期46卷 3491-3508页

作者： Anjani kumar Singha Swaleha Zubair Areej Malibari Nitish Pathak Shabana Urooj Neelam sharma Department of Computer Science Aligarh Muslim UniversityAligarh202002India Department of Industrial and Systems Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology Bhagwan Parshuram Institute of Technology(BPIT)GGSIPUNew Delhi110078India Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Artificial Intelligence&Machine Learning Maharaja Agrasen Institute of Technology(MAIT)GGSIPUNew Delhi110086India

Suspicious mass traffic constantly evolves,making network behaviour tracing and structure more *** networks yield promising results by considering a sufficient number of processing elements with strong interconnections between *** offer efficient computational Hopfield neural networks models and optimization constraints used by undergoing a good amount of parallelism to yield optimal *** neural network(ANN)offers optimal solutions in classifying and clustering the various reels of data,and the results obtained purely depend on identifying a *** this research work,the design of optimized applications is presented in an organized *** addition,this research work examines theoretical approaches to achieving optimized results using *** mainly focuses on designing *** optimizing design approach of neural networks analyzes the internal process of the neural *** in developing the network are based on the interconnections among the hidden nodes and their learning *** methodology is proven best for nonlinear resource allocation problems with a suitable design and complex *** ANN proposed here considers more or less 46k nodes hidden inside 49 million connections employed on full-fledged parallel *** proposed ANN offered optimal results in real-world application problems,and the results were obtained using MATLAB.

关键词： Artificial neural network(ANN) multiprocessor hidden node nonlinear optimization parallel processing

Insights on antioxidant therapeutic strategies in type 2 diabetes mellitus:A narrative review of randomized control trials

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World Journal of Diabetes 2023年第6期14卷 919-929页

作者： Dharmsheel Shrivastav Pradeep kumar Dabla Jitender sharma Aroop Viswas Rashid Mir Amity Institute of Biotechnology Amity University RajasthanJaipur 303002India Department of Biochemistry Govind Ballabh Pant Institute of Postgraduate Medical Education and ResearchDelhi 110002India Department of Medical Lab Technology Faculty of Applied Medical SciencesUniversity of TabukTabuk 71491Saudi Arabia

BACKGROUND Type 2 diabetes mellitus(T2DM)is a metabolic disease of impaired glucose *** in generation and elimination of free radicals generate oxidative stress which modulates glucose metabolism and insulin regulation,resulting in the occurrence and progression of diabetes and associated *** supplements in T2DM can be seen as a potential preventive and effective therapeutic *** To compare randomized controlled trials(RCTs)in which antioxidants have been shown to have a therapeutic effect in T2DM *** We systematically searched the electronic database PubMed by *** evaluating the effect of antioxidant therapy on glycaemic control as well as oxidant and antioxidant status as primary outcomes were *** outcomes considered were:A reduction in blood glucose;changes in oxidative stress and antioxidant ***-length papers of the shortlisted articles were assessed for the eligibility criteria and 17 RCTs were *** The administration of fixed-dose antioxidants significantly reduces fasting blood sugar and glycated hemoglobin and is associated with decreased malondialdehyde,advanced oxidation protein products,and increased total antioxidant *** Antioxidant supplements can be a beneficial approach for the treatment of T2DM.

关键词： Diabetes Antioxidants Oxidative stress Malondialdehyde Polyphenols Antioxidant therapy

Establishment of magneto-dielectric effect and magneto-resistance in composite of PLT and Ba-based U-type hexaferrite

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Journal of Advanced Dielectrics 2023年第5期13卷 42-47页

作者： Kanika Aggarwal Madan sharma Shubhpreet Kaur Vishal Arora Indu sharma Rakesh kumar Anupinder Singh Department of Physics Sant Longowal Institute of Engineering and Technology Longowal 148106PunjabIndia Multifunctional Materials Laboratory Department of PhysicsGuru Nanak Dev University Amritsar 143005PunjabIndia Department of Physics and Electronics Hindu College Amritsar 143001PunjabIndia Department of Physics Career Point UniversityHamirpur 176041 Himachal PradeshIndia Ludhiana Group of Colleges Affiliated by IKGPTU Kapurthala 140407 PunjabIndia

We are examining the behavior of a composite made of ferroelectrics with strong dielectric properties and ferrites with magnetic properties due to the rising need for materials for multipurpose *** application avenues will be favored by the pairing of these materials’individual qualities with one *** and U-type hexaferrite composite materials have been chosen for this study based on their magnetic and dielectric *** composites,(1−x)PLT−x(Ba1−3xNd2x)4Co2Fe36O60 where x=0.52,0.54,0.56,0.58 are prepared by solid state reaction method and phase formation was *** has been given to the magnetic,dielectric,and magneto-dielectric *** work has established the link between the electric and magnetic domains while applying electric and magnetic forces to the *** magneto-dielectric research revealed magneto-electric coupling in all of the ***,the sample shows the maximum coupling for x=0.54 with MDR%values of 93.17%,which might be because this sample appears to have a high magneto-resistance(161%).

关键词： Perovskite U-type hexaferrite magneto-dielectric effect magneto-resistance response

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

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Journal of Energy Chemistry 2023年第6期81卷 42-63,I0003页

作者： Aditya Velidandi Pradeep kumar Gandam Madhavi Latha Chinta Srilekha Konakanchi Anji reddy Bhavanam Rama Raju Baadhe Minaxi sharma James Gaffey Quang D.Nguyen Vijai kumar Gupta Integrated Biorefinery Research Laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Stem cell research laboratory Department of BiotechnologyNational Institute of TechnologyWarangalTelangana 506004India Department of Biotechnology Chaitanya University(Deemed to be University)WarangalTelangana 506001India Department of Chemical Engineering Dr.B.R.Ambedkar National Institute of Technology JalandharPunjab 144027India Haute Ecole Provinciale de Hainaut-Condorcet 7800 ATHBelgium Department of Applied Biology University of Science and TechnologyMeghalaya 793101India Circular Bioeconomy Research Group Shannon Applied Biotechnology CentreMunster Technological UniversityKerryIreland Department of Bioengineering and Alcoholic Drink Technology Institute of Food Science and TechnologyHungarian University of Agriculture and Life SciencesH-1118 BudapestḾenesiút 45Hungary Biorefining and Advanced Materials Research Center SRUCKings BuildingsWest Mains RoadEdinburgh EH93JGUK Department of Biotechnology Graphic Era Deemed to be UniversityDehradun 248002UttarakhandIndia

Machine learning(ML)has emerged as a significant tool in the field of biorefinery,offering the capability to analyze and predict complex processes with *** article reviews the current state of biorefinery and its classification,highlighting various commercially successful ***,we delve into different categories of ML models,including their algorithms and applications in various stages of biorefinery lifecycle,such as biomass characterization,pretreatment,lignin valorization,chemical,thermochemical and biochemical conversion processes,supply chain analysis,and life cycle *** benefits and limitations of each of these algorithms are discussed in ***,the article concludes with a discussion of the limitations and future prospects of ML in the field of biorefineries.

关键词： Biofuel Biomass characterization Biorefinery Life cycle assessment Machine learning Pretreatment

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Impact of vericiguat on heart failure with reduced ejection fraction:a review

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Global Health Journal 2023年第3期7卷 123-129页

作者： Manisha Vohra Mohammad Amir Ian Osoro Amit sharma Ranjeet kumar Department of Pharmacy Practice ISF College of PharmacyMogaPunjab 142001India

Introduction:Heart failure is a major public health issue with a prevalence of about 26 million people *** nitric oxide availability,lower soluble guanylate cyclase(sGC)activity,and decreased cyclic guanosine monophosphate(cGMP)production are the causes of HF's *** prescribed under the brand name Verquvo was approved by *** and Drug Administration(FDA)in January *** is a novel agent and the first sGC stimulator which helps to treat patients suffering from heart failure with reduced ejection fraction(HFrEF).Objective:The mechanism of action(cGMP pathway)of vericiguat,its clinical trials,its use in the treatment of heart failure,and its possible future aspects in therapeutic recommendations are all covered in this *** will also raise awareness amongst healthcare professionals about the pharmacokinetic and pharmacodynamic parameters,dosing,administration,and drug-related problems of this new ***:Various databases for drug review were used in this review like PubMed,Medline,Google scholar,Drug bank,***,Medscape,and European society of cardiology guidelines.A total of 58 articles were screened out of which 39 articles were included in this ***:This review discusses vericiguat's mechanism of action(cGMP pathway),clinical studies,application in the treatment of heart failure,and potential future considerations in therapeutic *** will also educate healthcare professionals about the new drug's pharmacokinetics and pharmacodynamics,dose,administration,and drug-related ***:After hospitalization for HFrEF,the 5-year survival rate is just 25%,and disease morbidity and death are stil *** adjunctive therapy for individuals with heart failure and a low ejection fraction,vericiguat has a moderate level of ***'s efficacy as an adjunct therapy to different drugs used to cure HF has to be further ***'s safety and dosage in patients w

关键词： Vericiguat Heart failure with reduced ejection fraction Soluble guanylate cyclase stimulator Nitric oxide Cyclicguanosinemonophosphate

Software Reliability Assessment Using Hybrid Neuro-Fuzzy Model

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Computer Systems Science & Engineering 2022年第6期41卷 891-902页

作者： Parul Gandhi Mohammad Zubair Khan Ravi kumar sharma Omar H.Alhazmi Surbhi Bhatia Chinmay Chakraborty Department of Computer Applications Manav Rachna International Institute of Research and StudiesFaridabad121006India Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia Department of Computer Applications Chandigarh Group of CollegesLandran140307India College of Computer Sciences and Information Technology King Faisal UniversitySaudi Arabia Department of Electronics&Communication Engineering Birla Institute of TechnologyMesra JharkhandIndia

Software reliability is the primary concern of software developmentorganizations, and the exponentially increasing demand for reliable softwarerequires modeling techniques to be developed in the present era. Small unnoticeable drifts in the software can culminate into a disaster. Early removal of theseerrors helps the organization improve and enhance the software’s reliability andsave money, time, and effort. Many soft computing techniques are available toget solutions for critical problems but selecting the appropriate technique is abig challenge. This paper proposed an efficient algorithm that can be used forthe prediction of software reliability. The proposed algorithm is implementedusing a hybrid approach named Neuro-Fuzzy Inference System and has also beenapplied to test data. In this work, a comparison among different techniques of softcomputing has been performed. After testing and training the real time data withthe reliability prediction in terms of mean relative error and mean absolute relativeerror as 0.0060 and 0.0121, respectively, the claim has been verified. The resultsclaim that the proposed algorithm predicts attractive outcomes in terms of meanabsolute relative error plus mean relative error compared to the other existingmodels that justify the reliability prediction of the proposed model. Thus, thisnovel technique intends to make this model as simple as possible to improvethe software reliability.

关键词： Software quality reliability neural networks fuzzy logic neuro-fuzzy inference system

Fine-Grained Multivariate Time Series Anomaly Detection in IoT

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Computers, Materials & Continua 2023年第6期75卷 5027-5047页

作者： Shiming He Meng Guo Bo Yang Osama Alfarraj Amr Tolba Pradip kumar sharma Xi’ai Yan School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Department of Computing Science University of AberdeenAberdeenAB243FXUK Hunan Provincial Key Laboratory of Network Investigational Technology Hunan Police AcademyChangsha410138China

Sensors produce a large amount of multivariate time series data to record the states of Internet of Things(IoT)*** time series timestamp anomaly detection(TSAD)can identify timestamps of attacks and ***,it is necessary to determine which sensor or indicator is abnormal to facilitate a more detailed diagnosis,a process referred to as fine-grained anomaly detection(FGAD).Although further FGAD can be extended based on TSAD methods,existing works do not provide a quantitative evaluation,and the performance is ***,to tackle the FGAD problem,this paper first verifies that the TSAD methods achieve low performance when applied to the FGAD task directly because of the excessive fusion of features and the ignoring of the relationship’s dynamic changes between ***,this paper proposes a mul-tivariate time series fine-grained anomaly detection(MFGAD)*** avoid excessive fusion of features,MFGAD constructs two sub-models to independently identify the abnormal timestamp and abnormal indicator instead of a single model and then combines the two kinds of abnormal results to detect the fine-grained *** on this framework,an algorithm based on Graph Attention Neural Network(GAT)and Attention Convolutional Long-Short Term Memory(A-ConvLSTM)is proposed,in which GAT learns temporal features of multiple indicators to detect abnormal timestamps and A-ConvLSTM captures the dynamic relationship between indicators to identify abnormal *** simulations on a real-world dataset demonstrate that the proposed algorithm can achieve a higher F1 score and hit rate than the extension of existing TSAD methods with the benefit of two independent sub-models for timestamp and indicator detection.

关键词： Multivariate time series graph attention neural network fine-grained anomaly detection

Effect of rare earth(Nd^(3+))metal doping on structural,morphological,optical and magnetic traits of Zn-Mg nano-ferrites

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Journal of Rare Earths 2023年第11期41卷 1763-1770,I0004页

作者： Rohit Jasrotia Nisha kumari Ritesh Verma Suman Sachin kumar Godara Jahangeer Ahmed Saad M.Alshehri Bidhan Pandit Sanjay kumar Himanshi Shubham sharma Kirti Pradip K.Maji School of Physics&Materials Science Shoolini University of Biotechnology and Management SciencesSolanHimachal Pradesh173229India Himalayan Centre of Excellence in Nanotechnology Shoolini UniversityBajholSolanH.P173229India Department of Physics Baddi University of Emerging Science and TechnologyMakhnumajraBaddiHimachal Pradesh173205India Department of Physics Amity University HaryanaGururgram122413India Department of Mathematics School of Basic and Applied SciencesMaharaja Agrasen UniversityBaddiH.P174103India Department of Apparel and Textile Technology Guru Nanak Dev UniversityAmritsar143005India Department of Chemistry College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia Department of Materials Science and Engineering and Chemical Engineering Universidad Carlos III de MadridAvenida de la Universidad 3028911LeganésMadridSpain School of Advanced Chemical Sciences Shoolini University of Biotechnology and Management SciencesSolanHimachal Pradesh173229India Dept.of Polymer&Process Engineering Indian Institute of Technology RoorkeeSaharanpurUttar Pradesh247001India

Herein,we report the synthesis of Zn_(0.7)Mg_(0.3)Nd_(x)Fe_(2-x)O_(4)(where,x=0,0,0,01,0,02)ferrite nanoparticles by employing the sol-gel auto-combustion *** X-ray diffraction(XRD)pattern suggests the formation of a pure cubic structure,without any impurity phase,with an Fd3m space group at room *** increasing doping amount,the crystallite size is reported as 35-41 nm,while the lattice parameters rise from 0.8381 to 0.8395 *** emission scanning electron microscopy(FESEM)images show the formation of spherical grains with agglomerated morphology in all the samples,with grain sizes ranging from 49 to 103 *** dispersive X-ray spectroscopy(EDX)and elemental mapping investigation confirm the chemical purity of all the *** transform infrared(FTIR)analysis shows the presence of two prominent peaks around 440 and 560 cm^(-1)that correspond to the octahedral and tetrahedral *** addition,the existence of five Raman active vibratio nal modes in all produced specimens again confirms the structural purity of all the *** M-H curve shows that saturation magnetization(M_(s))first increases from 14.98 to 28.22 emu/g and then decreases to 18.98emu/g with increasing doping *** is due to the A-B type super-exchange interaction for the synthesized *** variation in coercivity(H_(c))and magnetic anisotropy(K_(1))suggest the thermal stability of all the samples and can be utilized in transformers and solenoids.

关键词： Magnetic nanoparticles Saturation magnetization Sol-gel auto-combustion synthesis Super-exchange interaction Cubic crystal structure Rare earths

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid power system

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Frontiers in Energy 2015年第4期9卷 472-485页

作者： Nitin kumar SAXENA Ashwani kumar sharma Deptment of Electrical Engineering NIT Kumkshetra Haryana 136119 India

It is well recognized that the voltage stability of a power system is affected by the load model and hence, to effectively analyze the reactive power compensation of an isolated hybrid wind-diesel based power system, the loads need to be considered along with the generators in a transient analysis. This paper gives a detailed mathematical modeling to compute the reactive power response with small voltage perturbation for composite load. The composite load is a combination of the static and dynamic load model. To develop this composite load model, the exponential load is used as a static load model and induction motors （IMs） are used as a dynamic load model. To analyze the dynamics of IM load, the fifth, third and first order model of IM are formulated and compared using differential equations solver in Matlab coding. Since the decentralized areas have many small consumers which may consist large numbers of IMs of small rating, it is not realistic to model either a single large rating unit or all small rating IMs together that are placed in the system. In place of using a single large rating IM, a group of motors are considered and then the aggregate model of IM is developed using the law of energy conservation. This aggregate model is used as a dynamic load model. For different simulation studies, especially in the area of voltage stability with reactive power compensation of an isolated hybrid power system, the transfer function AQ/AV of the composite load is required. The transfer function of the composite load is derived in this paper by successive derivation for the exponential model of static load and for the fifth and third order IM dynamic load model using state space model.

关键词： isolated hybrid power system (IHPS) compo- site load model static load dynamic load induction motorload model aggregate load

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