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DNA Computing with Water strider Based Vector Quantization for Data storage systems

Computers, Materials & Continua 2023年第3期74卷 6429-6444页

作者： A.Arokiaraj Jovith s.rama sree Gudikandhula Narasimha Rao K.Vijaya Kumar Woong Cho Gyanendra Prasad Joshi sung Won Kim Department of Networking and Communications College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer science Engineering Aditya Engineering CollegeSurampalemAndhra Pradesh533437India Department of Computer science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer science and Engineering Vignan’s Institute of Engineering for WomenVisakhapatnam530049India Department of software Convergence Daegu Catholic UniversityGyeongsan38430Korea Department of Computer science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of *** accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of *** quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression *** article introduces a newDNAComputingwithWater striderAlgorithm based Vector Quantization(DNAC-WsAVQ)technique for Data storage *** proposed DNAC-WsAVQ technique enables encoding data using DNA computing and then compresses it for effective data ***,the DNAC-WsAVQ model initially performsDNA encoding on the input images to generate a binary encoded *** addition,aWater strider algorithm with Linde-Buzo-Gray(WsA-LBG)model is applied for the compression process and thereby storage area can be considerably *** order to generate optimal codebook for LBG,the WsA is applied to *** performance validation of the DNAC-WsAVQ model is carried out and the results are inspected under several *** comparative study highlighted the improved outcomes of the DNAC-WsAVQ model over the existing methods.

关键词： DNA computing data storage image compression vector quantization ws algorithm space saving

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Jellyfish search Optimization with Deep Learning Driven Autism spectrum Disorder Classification

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Computers, Materials & Continua 2023年第1期74卷 2195-2209页

作者： s.rama sree Inderjeet Kaur Alexey Tikhonov E.Laxmi Lydia Ahmed A.Thabit Zahraa H.Kareem Yousif Kerrar Yousif Ahmed Alkhayyat Department of Computer science&Engineering Aditya Engineering CollegeSurampalemAndhra PradeshIndia Department of Computer science&Engineering Ajay Kumar Garg Engineering CollegeGhaziabadUttar PradeshIndia Department of Human Resource Management Moscow Aviation InstituteMoscowRussia Department of Computer science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Computer Communication Engineering Al-Rafidain University CollegeBaghdadIraq Department of Medical Instrumentation Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq Department of Computer Technical Engineering Al-Hadba University CollegeMosulIraq College of Technical Engineering The Islamic UniversityNajafIraq

Autism spectrum disorder(AsD)is regarded as a neurological disorder well-defined by a specific set of problems associated with social skills,recurrent conduct,and *** AsD as soon as possible is favourable due to prior identification of AsD permits prompt interferences in children with *** of AsD related to objective pathogenicmutation screening is the initial step against prior intervention and efficient treatment of children who were ***,healthcare and machine learning(ML)industries are combined for determining the existence of various *** article devises a Jellyfish search Optimization with Deep Learning Driven AsD Detection and Classification(JsODL-AsDDC)*** goal of the JsODL-AsDDC algorithm is to identify the different stages of AsD with the help of biomedical *** proposed JsODLAsDDC model initially performs min-max data normalization approach to scale the data into uniform *** addition,the JsODL-AsDDC model involves JsO based feature selection(JFsO-Fs)process to choose optimal feature ***,Gated Recurrent Unit(GRU)based classification model is utilized for the recognition and classification of ***,the Bacterial Foraging Optimization(BFO)assisted parameter tuning process gets executed to enhance the efficacy of the GRU *** experimental assessment of the JsODL-AsDDC model is investigated against distinct *** experimental outcomes highlighted the enhanced performances of the JsODL-AsDDC algorithm over recent approaches.

关键词： Autism spectral disorder biomedical data deep learning feature selection hyperparameter optimization data classification machine learning

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Improved sliding-mode control for tracking global maximum power of triple-series-parallel ladder photovoltaic arrays under uneven shadowing

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Clean Energy 2024年第5期8卷 54-72页

作者： rama Koteswara Rao Alla Kandipati Rajani Ravindranath Tagore Yadlapalli EEE Department RVR&JC College of EngineeringGunturAndhra Pradesh-522019India EEE Department Vignan’s Lara Institute of Technology&ScienceGunturAndhra Pradesh-522213India

This paper presents an innovative way to enhance the performance of photovoltaic(PV)arrays under uneven shadowing *** study focuses on a triple-series–parallel ladder configuration to exploit the benefits of increased power generation while ad-dressing the challenges associated with uneven *** proposed methodology focuses on the implementation of improved sliding-mode control technique for efficient global maximum power point ***-mode control is known for its robustness in the presence of uncertainties and disturbances,making it suitable for dynamic and complex systems such as PV *** work employs a comprehensive simulation framework to comment on the performance of the suggested improved sliding-mode control strategy in uneven shadowing *** analysis has been done to show the better effectiveness of the suggested method than the traditional control *** results demonstrate a remarkable enhancement in the tracking accuracy of the global maximum power point,leading to enhanced energy-harvesting capabilities under challenging environmental ***,the proposed approach exhibits robustness and adaptability in mitigating the effect of shading on the PV array,thereby increasing overall system *** research contributes valuable insights into the development of advanced control strategies for PV arrays,particularly in the context of triple-series–parallel ladder configurations operating under uneven shadowing *** short narrow shading conditions,the improved sliding-mode control method tracks the maximum power better compared with perturb&observe at 20.68%,incremental-conductance at 68.78%,fuzzy incremental-conductance at 19.8%,and constant-velocity sliding-mode control at 1.25%.The improved sliding-mode control method has 60%less chattering than constant-velocity sliding-mode control under shading conditions.

关键词： improved sliding-mode control PV array global maximum power point series-parallel boost converter

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Robust Facial Biometric Authentication system Using Pupillary Light Reflex for Liveness Detection of Facial Images

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Computer Modeling in Engineering & sciences 2024年第4期139卷 725-739页

作者： Puja s.Prasad Adepu sree Lakshmi sandeep Kautish simar Preet singh Rajesh Kumar shrivastava Abdulaziz s.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CsE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer science LBEF CampusKathmandu44600Nepal school of Computer science Engineering and Technology(sCsET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attacks like print attacks,3D mask attacks,replay attacks,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using Kohn and Clynes model-defined *** support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(sIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework,we tested our model in two Face antispoofing datasets named Replay attack datasets and CAsIA-sURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CAsIA-sURF datasets showed an 89.9%Equal Err

关键词： sIFT pupil CAsIA-sURF pupillary light reflex replay attack dataset brute force

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Identification of Dermal Crease Patterns as a Link between Genetics and Periodontitis:Reliability and Credibility

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Journal of Forensic science and Medicine 2024年第2期10卷 106-110页

作者： B.Bharghavi Patnaik Gautami s.Penmetsa Keerthi Vinnakota Alluri Venkata ramaraju rama Krishna Alla Department of Periodontics and Implantology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Department of Prosthodontics and Implantology Vishnu Dental CollegeBhimavaramAndhra PradeshIndia Department of Dental Materials Vishnu Dental CollegeBhimavaramAndhra PradeshIndia

Introduction:The disruptions in the ectodermal layer during intrauterine growth in the process of the formation of epidermal ridges can be linked to the association between dermatoglyphics and abnormalities of the tooth and *** the genetic linkage of periodontal disease this study was hypothesized at observing the association of chronic periodontitis,aggressive periodontitis,and individuals with healthy periodontium as per the 1999 AAP classification of periodontitis with their fingerprint patterns and ridge *** and Methods:Patients belonging to an age cohort of 18-50 who visited the department of periodontics and implantology were included in the ***’periodontal status was determined and was enrolled in the study.A total of 114 subjects were compared,where 38 subjects belonged to the individual group of periodontal condition that are designated as Group A(healthy),Group B(chronic periodontitis),and Group C(aggressive periodontitis).A total of 1140 fingerprints were *** were analyzed and classified according to their patterns and also the ridges were ***:The comparison between three groups showed a statistically significant difference between increased percentage frequency of radial loops(28%)in chronic periodontitis and plain whorls(26.3%)in aggressive *** was a significant difference between ridge count among all the three groups,the highest being in healthy and the least between aggressive periodontal ***:Observations of the study show that there was a difference in fingerprint pattern between patients of all the three periodontal conditions indicating a link between epidermal ridges and condition of periodontium.

关键词： Aggressive periodontitis chronic periodontitis dermatoglyphics genetics

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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)

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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

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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

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Effect of Eu3+,Bi3+,and Li+ doping on luminescent property of GdNbO4

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Journal of Rare Earths 2024年第1期42卷 66-75页

作者： s.W.Wi Y.s.Lee Department of Physics and Integrative Institute of Basic sciences Soongsil University

We investigated the emission properties of Eu3+-doped GdNbO4-based oxide phosphors,aiming at improving the Eu3+emission by codoping of Bi3+and Li+.Eu3+singly doped,Eu3+and Bi3+doubly doped,and Eu3+,Bi3+,and Li+triply doped GdNbO4were prepared using a high-temperature solid-state reaction *** red-orange emissions from Eu3+in the singly doped samples are significantly improved by the codoping of Bi3+,mainly due to the energy transfer from Bi3+to Eu3+.The additional codoping of Li+is found to increase the Eu3+emission *** improvement might be attributed to the increase in the photoluminescent quantum yield originating from larger grain sizes and better crystallinity.A detailed analysis of the X-ray diffraction pattern and the asymmetric ratio estimated from the photoluminescence spectra show that the local lattice environment around Eu3+in GdNbO4does not change significantly with the codoping of Bi3+and Li+.Our results indicate that Li+doping is a promising way to improve the emission properties of rare-earth ion-doped GdNbO4phosphors.

关键词： Eu 3+ GdNbO 4 Codoping of Li + Photoluminescence sensitizer Rare earths

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First evidence for chiral wobbling of triaxial nuclei

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Nuclear science and Techniques 2024年第7期35卷 4-7页

作者： s.Frauendorf Department of Physics and Astronomy University of Notre DameNotre DameIN 46556USA

Chirality(Greek“handiness”)is a property of many com-plex *** molecules exist in two forms,one being the mirror image of the *** for our hands,it is impossible to make the images identical by a suitable *** two forms are called left-handed and *** have the same binding energy,because the electro-magnetic interaction,which holds the molecule together,does not change under a *** properties that are insensitive to the geometry are also the *** different geometry is the reason why the left-handed form turns the polarization plane of transmitted light in one direction by some angle while the right-handed form turns it in the oppo-site direction by the same ***,the geometrical differences between the two species may have other *** two species of the carvon molecule shown in Fig.1 taste quite differently.

关键词： turns Chiral mirror

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