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Review Article on Condition Assessment of Structures Using Electro-Mechanical Impedance Technique

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Structural Durability & Health Monitoring 2022年第2期16卷 97-128页

作者： Krishna Kumar Maurya Anupam Rawat rama shanker Department of Civil Engineering MNNIT AllahabadPrayagraj211004India

Structural health monitoring(SHM)is a process for determination of presence,location,severity of damages and remaining life of the *** is widely applied in aerospace,mechanical and civil engineering sys-tems to assess the conditions of structures to improve the operation,safety,serviceability and reliability,*** are various SHM techniques for monitoring the health of structures such as global response based and local *** occur in the structures due to its inability to withstand intended design loadings,physical environment and chemical ***,damage identification is necessary to improve the durability of the structures for protection against catastrophic *** research paper is focused on elec-tro-mechanical impedance(EMI)technique which is one of the techniques based on smart *** smart materials are utilized for monitoring the health of the *** are used for damage determination and its quantification for the interrogated *** in admittance or impedance signature shows the existence of damage in the ***,the different statistical methods viz.,root mean square deviation(RMSD),mean absolute percentage deviation(MAPD),covariance(Cov),and correlation coefficient(CC)are used for the quantification of *** material such as piezoelectric materials,its properties and applica-tions are also *** this paper,the implementation of EMI technique based on different recent advances in smart materials and their appropriateness have been ***,the reviewed investigations are significant for the monitoring of real-life *** presented paper is the compact state-of-the-art for EMI technique which is used for *** examination will be valuable to infrastructural health monitoring and engineering applications in respect to innovative research directions.

关键词： Structural health monitoring condition assessment EMI technique PZT patches damages

A Two-Parameter Lindley Distribution for Modeling Waiting and Survival Times Data

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Applied Mathematics 2013年第2期4卷 363-368页

作者： rama shanker Shambhu Sharma Ravi shanker Department of Mathematics Dayalbagh Educational Institute Agra India Department of Mathematics G.L.A. College N.P. University Daltonganj India Department of Statistics Eritrea Institute of Technology Mainefhi Eritrea

In this paper, a two-parameter Lindley distribution, of which the one parameter Lindley distribution (LD) is a particular case, for modeling waiting and survival times data has been introduced. Its moments, failure rate function, mean residual life function, and stochastic orderings have been discussed. It is found that the expressions for failure rate function mean residual life function and stochastic orderings of the two-parameter LD shows flexibility over one-parameter LD and exponential distribution. The maximum likelihood method and the method of moments have been discussed for estimating its parameters. The distribution has been fitted to some data-sets relating to waiting times and survival times to test its goodness of fit to which earlier the one parameter LD has been fitted by others and it is found that to almost all these data-sets the two parameter LD distribution provides closer fits than those by the one parameter LD.

关键词： Lindley Distribution Moments Failure Rate Function Mean Residual Life Function Stochastic Ordering Estimation of Parameters Goodness of Fit

An Intelligent Big Data Security Framework Based on AEFS-KENN Algorithms for the Detection of Cyber-Attacks from Smart Grid Systems

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Big Data Mining and Analytics 2024年第2期7卷 399-418页

作者： Sankaramoorthy Muthubalaji Naresh Kumar Muniyaraj Sarvade Pedda Venkata Subba Rao Kavitha Thandapani Pasupuleti rama Mohan Thangam Somasundaram Yousef Farhaoui Department of Electrical and Electronics Engineering CMR College of Engineering&TechnologyHyderabad 501401India Department of Electronics and Communication Engineering Vardhaman College of Engineering KacharamShamshabad 501218India Department of Electronics and Communication Engineering Sreenidhi Institute of Science and TechnologyHyderabad 501301India Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai 600062India Department of Electrical and Electronics Engineering Bharat Institute of Engineering and TechnologyHyderabad 501510India Department of Computer Science and Engineering Amrita School of ComputingAmrita Vishwa VidhyapeethamBengaluru 560035India T-IDMS Department of Computer ScienceFaculty of Sciences and TechniquesMoulay Ismail UniversityErrachidia 52000Morocco

Big data has the ability to open up innovative and ground-breaking prospects for the electrical grid,which also supports to obtain a variety of technological,social,and financial *** is an unprecedented amount of heterogeneous big data as a consequence of the growth of power grid technologies,along with data processing and advanced *** main obstacles in turning the heterogeneous large dataset into useful results are computational burden and information *** original contribution of this paper is to develop a new big data framework for detecting various intrusions from the smart grid systems with the use of AI ***,an AdaBelief Exponential Feature Selection(AEFS)technique is used to efficiently handle the input huge datasets from the smart grid for boosting ***,a Kernel based Extreme Neural Network(KENN)technique is used to anticipate security vulnerabilities more *** Polar Bear Optimization(PBO)algorithm is used to efficiently determine the parameters for the estimate of radial basis ***,several types of smart grid network datasets are employed during analysis in order to examine the outcomes and efficiency of the proposed AdaBelief Exponential Feature Selection-Kernel based Extreme Neural Network(AEFS-KENN)big data security *** results reveal that the accuracy of proposed AEFS-KENN is increased up to 99.5%with precision and AUC of 99%for all smart grid big datasets used in this study.

关键词： smart grid Machine Learning(ML) big data analytics AdaBelief Exponential Feature Selection(AEFS) Polar Bear Optimization(PBO) Kernel Extreme Neural Network(KENN)

Intelligent Energy Utilization Analysis Using IUA-SMD Model Based Optimization Technique for Smart Metering Data

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Journal of Harbin Institute of Technology(New Series) 2024年第1期31卷 90-98页

作者： K.rama Devi V.Srinivasan G.Clara Barathi Priyadharshini J.Gokulapriya Department of Information Technology Panimalar Engineering CollegeChennaiTamil Nadu 600029India Department of Computer Applications Dayananda Sagar College of EngineeringBengaluru 560078KarnatakaIndia Department of Computer Appliations Karpagam Academy of Higher EducationCoimbatoreTamil Nadu 641021India Department of Computer Science Rathinam College of Arts and ScienceCoimbatoreTamil Nadu 641021India

Smart metering has gained considerable attention as a research focus due to its reliability and energy-efficient nature compared to traditional electromechanical metering systems. Existing methods primarily focus on data management,rather than emphasizing efficiency. Accurate prediction of electricity consumption is crucial for enabling intelligent grid operations,including resource planning and demandsupply balancing. Smart metering solutions offer users the benefits of effectively interpreting their energy utilization and optimizing costs. Motivated by this,this paper presents an Intelligent Energy Utilization Analysis using Smart Metering Data(IUA-SMD)model to determine energy consumption patterns. The proposed IUA-SMD model comprises three major processes:data Pre-processing,feature extraction,and classification,with parameter optimization. We employ the extreme learning machine(ELM)based classification approach within the IUA-SMD model to derive optimal energy utilization labels. Additionally,we apply the shell game optimization(SGO)algorithm to enhance the classification efficiency of the ELM by optimizing its parameters. The effectiveness of the IUA-SMD model is evaluated using an extensive dataset of smart metering data,and the results are analyzed in terms of accuracy and mean square error(MSE). The proposed model demonstrates superior performance,achieving a maximum accuracy of65.917% and a minimum MSE of0.096. These results highlight the potential of the IUA-SMD model for enabling efficient energy utilization through intelligent analysis of smart metering data.

关键词： electricity consumption predictive model data analytics smart metering machine learning

Velocity Form Calculations of Generalized Oscillator Strengths for 3s→ (3p, 4p, 5p, 6p) Dipole Transitions of Atomic Sodium in Debye Plasma

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Open Journal of Applied Sciences 2024年第6期14卷 1512-1529页

作者： Louis Gomis Clement Diatta Moustapha Sadibou Tall Ibrahima Gueye Faye rama Gomis Yande Diouf Mamadou Coulibaly Laboratoire de Physique des Plasmas et de Recherches Interdisciplinaires Departement de Physique Universite Cheikh Anta Diop Dakar Senegal

In this paper, the generalized oscillator strengths (GOSs) of excitations of atomic sodium from ground state to 2p63s0 (3p, 4p, 5p, 6p) states, immersed in Debye plasma, were calculated by using wavefunctions which were obtained numerically from the restricted Hartree-Fock (RHF) equation. This RHF equation employs the local density approach for exchange interactions including plasma Debye screening. Theoretical RHF and random phase approximation with exchange (RPAE) velocity calculations have shown that the GOSs for excitations to 3 s0(3 p,4 p,5 p,6 p)depend on the plasma Debye screening effects, as shown by the reduction in the GOS amplitude with decreasing Debye length λD. The agreement between the present RPAE V results for the transitions 3 s→3 s0(3 p,4 p,5 p)and the length calculations of Martínez-Flores was satisfactory. Correlation effects were found quite to be significant in the vicinity of the maxima of the GOS of the 3 s→3 s0(4 p,5 p,6 p)excitations by using the RPAE V approach. We note the poor influence of many electron correlations on the GOS of (3 s→3 p)transition with the same principal quantum number. Finally, we comment that the RPAE V calculations are useful in investigating electron correlation effects on the transition GOS of atomic sodium planted in Debye plasma. The present velocity results also reveal that the 3 s→3 s0(5p, 6p)transition GOSs tend to be delocalized due to more significant screening effects at Debye lengths λD=20and 30 a.u. for excited subshells 5p and 6p, respectively. We report here novel results of GOS for 3 s→3 s06ptransition obtained from different Debye lengths.

关键词： Plasma Screening Effect Correlation Effect Sodium Atomic Velocity Form GOS Restricted Hatree-Fock Random Phase Approximation with Exchange

A numerical modelling approach to assess the behaviour of underground cavern subjected to blast loads

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International Journal of Mining Science and Technology 2018年第6期28卷 975-983页

作者： Saikat Kuili Vedala rama Sastry Department of Civil Engineering National Institute of Technology Karnataka Department of Mining Engineering National Institute of Technology Karnataka

The paper gives an insight into the behaviour of large underground caverns which are subjected to blast loads. Caverns are generally constructed in hard rock formation which compels us to use blasting methods for the excavation works. Comparative study was done between models with intact rock mass and discontinuities to assess the stability of cavern as a result of blast loads. Numerical modelling was performed with 3 dimensional distinct element code(3 DEC) to analyse the performance of cavern walls in terms of displacement and to compute peak particle velocities(PPV) both around the cavern periphery and at surface of models. Results showed that the velocity wave with higher frequency exhibited large displacements around the periphery of cavern. Computation of PPV showed that model with horizontal joint sets showed lower PPV in comparison to model with intact rock mass. PPV values were also analysed on the surface for model consisting vertical joints spaced at 4 m intervals. Comparative study of PPV on surface vertically above the blast location between models with horizontal joints spaced at 4 m and vertical joints at 4 m intervals were conducted. Results depicted higher magnitudes of PPV for model with vertical joints in comparison to model with horizontal joints.

关键词： Large underground caverns Hard rock formation Numerical modelling 3 dimenssional distinct element code Peak particle velocities

Epidemiological, Clinical, and Evolutionary Profile of Type 1 Diabetics in the Internal Medicine Department of the Abass Ndao Hospital from 2010 to 2021 (about 659 Cases)

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Journal of Diabetes Mellitus 2024年第1期14卷 69-79页

作者： Sow Djiby Djiba Boundia Ndour Michel Assane Diedhiou Demba Dieng Mouhamed Diallo Ibrahima Mané Ndiaye rama Saou Houleye Fall Ndiouga Ndiaye Matar Gadji Fatou Kiné Sarr Anna Diop Said Nourou Ndour Mbaye Maimouna Department of Internal Medicine and Medical Specialties Hospital Abass Ndao Dakar Sénéga

Introduction: Type 1 diabetes can have acute complications, sometimes requiring hospitalization. The aim of this study was to describe the epidemiological, clinical and evolutionary aspects of type 1 diabetes in patients at the Abass Ndao National Hospital in Dakar. Patients and Methods: This was a cross-sectional, descriptive and analytical study conducted from January 01, 2010 to December 31, 2021. It focused on hospitalized type 1 diabetic patients. Epidemiological, clinical and evolutionary data were evaluated. Results: Six hundred and fifty-nine (659) patients were enrolled, representing a frequency of 11.5%. The mean age was 29.47 years, giving a sex ratio (m/f) of 0.95. Average hospital stay was 6.1 days. One hundred and forty-four (144) patients (21.8%) had inaugural diabetes. The average consultation time was 14.89 days. Acute metabolic complications were ketoacidosis in 353 patients (56%), and hypoglycemia in 1.2%. Simple hyperglycemia was noted in 113 patients (18.0%). Infection was present in 522 patients (58.3%), of whom 95 (28.2%) had a skin infection.55 patients (16.3%) had a respiratory infection. 12.3% had a dietary imbalance.176 cases (27.7%) had no imbalance.26 patients (3.9%) died, with infectious pathologies accounting for the majority of decompensation factors among the deceased (57.7%). Conclusion: Type 1 diabetes is a cause of morbidity and mortality. It is essential to develop and implement a prevention and management program.

关键词： Type 1 Diabetes Epidemiology Mortality Senegal

Biological and mechanical investigation of novel flax/silk protein-based nanofibrous scaffold for bone regeneration

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Progress in Natural Science:Materials International 2022年第4期32卷 443-455页

作者： M.rama U.Vijayalakshmi Department of Chemistry School of Advanced Sciences Vellore Institute of Technology

The process of bone tissue regeneration involves an intricate network of a biological macromolecules that includes proteins and peptides to support stimulation and healing response. Here, we have fabricated a novel flaxseed/silk fibroin based(dual protein) composite nanofibers using β-TCP to improve the biological properties and promote cartilage tissue regeneration along with a controllable rate of biodegradation. The physiochemical properties of PVA/β-TCP/FP:SF were characterized by FTIR, XRD, SEM, porosity, contact angle measurements and mechanical evaluation etc. This study demonstrates the biological performance of the developed nanofibers by using hemocompatibility, biodegradation ability, and apatite deposition in stimulated body fluid. Moreover, the cell viability assay was performed on MG-63 osteoblast cells and long-term antibacterial rate against E. coli and S. aureus was analysed. Docking results of flax protein and silk fibroin protein further confirmed the stable modes of intramolecular bonding and the most stable electrostatic values using theoretical calculations. Taken together,the experimental results proved that the dual protein-based fibrous scaffold was found to be up-regulated in terms of biological activity with enhanced cell adhesion and proliferation.

关键词： Flax protein Silk fibroin β-TCP Electrospinning Docking Bone regeneration

MULTIMOORA strategy for solving multi-attribute group decision making (MAGDM) in trapezoidal neutrosophic number environment

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CAAI Transactions on Intelligence Technology 2020年第3期5卷 150-156页

作者： Surapati Pramanik rama Mallick Mathematics Nandalal Ghosh B.T.CollegeKolkataWest BengalIndia Mathematics Indian Institute of Engineering Science and TechnologyShibpurHowrahWest BengalIndia Mathematics Umeschandra CollegeSurya Sen StreetKolkata-700012West BengalIndia

The main purpose of this study is to bring in a new extension of multi-objective optimisation on the basis of ratio analysis plus full multiplicative form(MULTIMOORA)in trapezoidal neutrosophic number(TrNN)*** strategy provides high efficiency and effectiveness in *** new MULTIMOORA strategy consists of three *** components are ratio system approach,reference point approach,and full multiplicative *** develop the proposed strategy,the authors find out three ranking order of alternatives using the three *** final ranking order of the alternatives is based on dominance *** study is original as it first develops the MULTIMOORA strategy in the TrNN environment,which they call *** solve a realistic banking problem involving multi-attribute group decision making in the TrNN environment to reflect the applicability and proficiency of the developed *** also present a comparison between the proposed strategy and the existing tomada de decisao interativa e multicritévio and VlseKriterijumska Optimizcija I Kaompromisno Resenje strategies.

关键词： number decision MULTIMOORA