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An efficient permutation approach for SbPN-based symmetric block ciphers

Cybersecurity 2024年第2期7卷 113-130页

作者： mir Nazish m.Tariq Banday Insha syed Sheena Banday Department of Electronics and Instrumentation Technology University ofKashmirSrinagar 190006India

It is challenging to devise lightweight cryptographic primitives efficient in both hardware and software that can provide an optimum level of security to diverse Internet of Things applications running on low-end constrained ***,an effcient hardware design approach that requires some specific hardware resource may not be effcient if implemented in *** bit Permutation Network based ciphers such as PRESENT and GIFT are effcient,lightweight cryptographic hardware design *** ciphers introduce confusion and diffu-sion by employing a 4×4 static substitution box and bit *** bit-wise permutation is realised by sim-ple rerouting,which is most cost-effective to implement in hardware,resulting in negligible power ***,this method is highly resource-consuming in software,particularly for large block-sized ciphers,with each single-bit permutation requiring multiple *** paper proposes a novel software-based design approach for permutation operation in Substitution bit Permutation Network based ciphers using a bit-banding *** conventional permutation using bit rotation and the proposed approach have been implemented,analysed and compared for GIFT and PRESENT ciphers on ARm Cortex-m3-based LPC1768 development platform with KEIL mDK used as an Integrated Development *** real-time performance comparison between conven-tional and the proposed approaches in terms of memory(RAm/ROm)footprint,power,energy and execution time has been carried out using ULINKpro and ULINKplus debug adapters for various code and speed optimisation *** proposed approach substantially reduces execution time,energy and power consumption for both PRE-SENT and GIFT ciphers,thus demonstrating the effciency of the proposed method for Substitution bit Permutation Network based symmetric block ciphers.

关键词： Lightweight cryptography PRESENT GIFT SbPN Cortex-m LPC1768 Bit-band memory

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FINITE-TImE H∞ CONTROL FOR A CLASS OF mARKOVIAN JUmPING NEURAL NETWORKS WITH DISTRIBUTED TImE VARYING DELAYS-LmI APPROACH

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Acta mathematica Scientia 2018年第2期38卷 561-579页

作者： p.baskar s.padmanabhan m.syed ali New Horizon College of Engineering Marathhalli Bangalore 560103 India RNS Institute of Technology Channasandra Bangalore 560098 India Department of mathematics Thiruvalluvar University Vellore Tamilnadu 632115 India

In this article, we investigates finite-time H∞ control problem of markovian jumping neural networks of neutral type with distributed time varying delays. The mathematical model of the markovian jumping neural networks with distributed delays is established in which a set of neural networks are used as individual subsystems. Finite time stability analysis for such neural networks is addressed based on the linear matrix inequality approach. Numerical examples are given to illustrate the usefulness of our proposed method. The results obtained are compared with the results in the literature to show the conservativeness.

关键词： Finite-time H∞ control, markovian jumping neural networks Lyapunov stability

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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

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Prediction of pressure gradient and hold-up in horizontal liquid-liquid pipe flow

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Petroleum Science 2023年第6期20卷 3766-3782页

作者： syed Amjad Ahmed Bibin John School of mechanical Engineering Vellore Institute of TechnologyIndia Department of mechanical Engineering C Abdul Hakeem College of Engineering&TechnologyIndia

This paper aims to propose correlations to predict pressure gradient,friction factor and fluid phase hold-up in liquid-liquid horizontal pipe *** develop the correlations,experiments are conducted using high viscous oils(202 and 630 mPa⋅s)in a steel pipe of length 11.25 m and length-to-diameter ratio of *** addition,the experimental data from the literature comprising wide range of flow and fluid properties is *** the analysis,the liquid-liquid pipe flow data is categorized into two as:stratified and *** existing friction factor correlations are modified to incorporate the effects of viscosity of the oil phase,interfacial curvature(contact/wetting angle-in lieu of material of the pipe)and fluid phase *** the two-fluid model of stratified flow,the wall stress and interfacial stress correlations are substituted with superficial velocities of fluids and superficial Reynolds numbers of fluid phases replacing fluid phase velocities and fluid Reynolds ***,for dispersed flow,an effective Reynolds number is described as the sum of superficial Reynolds number of oil and water *** the generally employed mean or mixture Reynolds number with the effective Reynolds number into the existing single-phase turbulent flow friction factor correlation,an effective friction factor for oil-water flow is *** the proposed correlations,the pressure gradient across the oil-water flow and hold-up volume fraction are predicted with significant reduction in error compared with that of conventionally employed *** average error and standard deviation values of−7.06%,20.72%and 0.31%,18.79%are found for stratified flow and dispersed flow respectively.

关键词： oil-water flow two-fluid model pressure gradient stratified flow dispersed flow

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Ambient noise H/V spectral ratio in site effects estimation in Fateh jang area, Pakistan

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Earthquake Science 2015年第1期28卷 87-95页

作者： S.m.Talha qadri Bushra Nawaz S.H.Sajjad Riaz Ahmad Sheikh Department of Earth Sciences University of Sargodha College of Earth and Environmental Sciences University of the Punjab

Local geology or local site effect is a crucial component while conducting seismic risk assessment studies. Investigations made by utilization of ambient noise are an effective tool for local site estimation. The present study is conducted to perform site response analysis at 13 different sites within urban settlements of Fateh jang area （Pakistan）. The aim of this study was achieved by utilizing Nakamura method or H/V spectral ratio method. Some important local site parameters, e.g., the fundamental fre- quencies f0 of soft sediments, amplitudes A0 of corre- sponding H/V spectral ratios, and alluvium thicknesses over 13 sites within the study area, were measured and analyzed. The results show that the study area reflects low fundamental frequency fo. The fundamental frequencies of the sediments are highly variable and lie in a range of 0.6-13.0 Hz. Similarly, amplification factors at these sites are in the range of 2.0-4.0.

关键词： Local site effectspectral ratios Fundamentalfactor Alluvium thickness Ambient noise H/Vfrequency Amplification

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ma’s Variation of Parameters method for Fisher’s Equations

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Advances in Applied mathematics and mechanics 2010年第3期2卷 379-388页

作者： syed Tauseef mohyud-Din Ahmet Yıldırım HITEC University Taxila Cantt Pakistan Ege University Department of Mathematics35100 Bornova-IzmirTurkey

In this paper,we apply ma’s variation of parameters method(VPm)for solving Fisher’s *** suggested algorithm proved to be very efficient and finds the solution without any discretization,linearization,perturbation or... 详细信息

关键词： Variation of parameters method variational iteration method nonlinear problems Fisher’s equation nonlinear diffusion equation error estimates

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Adsorption Isotherm and Kinetic Study of methane on Palm Kernel Shell-Derived Activated Carbon

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Journal of Bioresources and Bioproducts 2023年第1期8卷 66-77页

作者： mohd Saufi md Zaini muhammad Arshad syed Shatir A.syed-Hassan School of Chemical Engineering College of EngineeringUniversiti Teknologi MARA Cawangan TerengganuKampus Bukit BesiDungun 23200Malaysia Department of Basic Science Jhang-Campus University of Veterinary and Animal ScienceLahore 35200Pakistan School of Chemical Engineering College of EngineeringUniversiti Teknologi MARAShah Alam 40450Malaysia

Activated carbon(AC)was synthesized from palm kernel shell(PKS)using different activating agents,i.e.,steam,carbon dioxide(CO 2),and CO 2-steam,in order to analyze the impact of acti-vating agents on the pore opening of *** this study,AC produced from PKS was found to have great potential as an adsorbent for methane *** different molecular diffusivity and reac-tivity of the combination of CO 2 and steam succeeded in producing AC with the highest burn-offof 78.57%,a surface area of 869.82 m 2/g,a total pore volume of 0.47 cm 3/g,and leading to maximum methane gas adsorption capacity of 4.500 mol/*** types of ACs exhibited the best fit with the Freundlich isotherm model,with the correlation coefficient(R 2)ranging from 0.997 to 0.999,indicating the formation of multilayer *** addition,the adsorption kinetic data for all ACs followed the pseudo-first-order model showing that the rate of adsorption was dependent on both the adsorbent and the adsorbate and was governed primarily by physical ad-sorption between the pore surface and methane *** results of intraparticle diffusion model indicated that the adsorption of methane was affected by both pore diffusion and exterior layer diffusion due to the different adsorption rates.

关键词： Palm kernel shell Activated carbon methane adsorption Kinetic model Isotherm model

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Oviposition preference and larval performance of Epiphyas postvittana （Lepidoptera： Tortricidae） on Botrytis cinerea （Helotiales： Sclerotiniaceae） infected berries of Vitis vinifera （Vitales： Vitaceae）

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Insect Science 2016年第2期23卷 313-325页

作者： syed Z. m. Rizvi Anantanarayanan Raman Warwick m. Wheatley Geoffrey Cook School of Agricultural & Wine Sciences Graham Centre forAgricultural Innovation Charles Sturt University Orange NSW 2800 Austrafia

In this paper we tested the behavior of gravid Epiphyas postvittana in select- ing the most-appropriate site for oviposition thus benefitting offspring performance. Our hypothesis was built on Jaenike＇s preference-performance hypothesis （also referred to as the ＂mother-knows-the-best＂ hypothesis）. To test this, we used the interacting Epiphyas postvittana, its host Vitis vinifera, and the pathogenic microbe Botrytis cinerea system. Populations ofE. postvittana and B. cinerea often exist concurrently on 14. vinifera in Aus- tralasia and their interaction and mutual influence are currently being explored, although the suggestion presently is that the relationship between E. postvittana and B. cinerea is mutualistic. We tested the effect of volatiles from B. cinerea-infected berries and unin- fected （control） berries of V. vinifera on the oviposition behavior of E. postvittana. We also characterized the effects of B. cinerea infection on the berries of V. vinifera on the growth and development of E. postvittana. Contrary to the preference-performance hy- pothesis, oviposition choices made by gravid E. postvittana did not result in the best offspring survival, development, and performance. The preference for oviposition by E. postvittana was strongly influenced by the olfactory and tactile cues. She laid fewer eggs on B. cinerea-infected berries compared to uninfected berries of V. vinifera. The larvae of E. postvittana showed no preference to uninfected berries of V. vinifera. The larvae fed on B. cinerea-infected berries of V. vinifera showing greater survival rate, shorter time to pupation, greater pupal mass, and on becoming adults they laid more numbers of eggs than the larvae that were enabled to feed on uninfected berries. The larvae of E. postvittana transport the conidia of B. cinerea and transmit grey-mould disease to uninfected berries of V. vinifera.

关键词： larval development life-history performance light-brown apple moth ovipo-sition preference preference-performance hypothesis grapevine

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A study of nonlinear age-structured population models

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International Journal of Biomathematics 2016年第6期9卷 211-223页

作者： syed Tauseef mohyud-Din A. Waheed m. m. Ra.shidi Department of mathematics Faculty of Sciences HITEC University Taxila Cantt Pakistan Department of mathematics COMSATS Institute of Information Technology Attock Pakistan Shanghai Key Lab of Vehicle Aerodynamicsand Vehicle Thermal management Systems Tongji University 3800 Cao An Road Jiading Shanghai 201803 P. R. China

This paper presents a novel analysis for the solution of nonlinear age-structured prob- lem which is of extreme importance in biological sciences. The presented model is very useful but quite complicated. modified variational iteration method （mVIm） coupled with auxiliary parameter is used to cope with the complexity of the model which subse- quently shows better results as compared to some existing results available in literature. Furthermore, an appropriate way is used for the identification of auxiliary parameter by means of residual function. Numerical examples are presented for the analysis of the pro- posed algorithm. Graphical results along with the discussions re-confirm the efficiency of proposed algorithm. The work proposes a new algorithm where He＇s polynomials and an auxiliary parameter are merged with correction functional. The suggested scheme is implemented on nonlinear age-structured population models. Graphs are plotted for the residual function that reflects the accuracy and convergence of the presented algorithm.

关键词： Age-structured population models nonlinear problems modified variationaliteration method auxiliary parameter correction functional.

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Hybrid Global Optimization Algorithm for Feature Selection

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Computers, materials & Continua 2023年第1期74卷 2021-2037页

作者： Ahmad Taher Azar Zafar Iqbal Khan syed Umar Amin Khaled m.Fouad Faculty of Computers and Artificial Intelligence Benha UniversityBenha13511Egypt College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Faculty of Information Technology and Computer Science Nile UniversitySheikh ZaidEgypt

This paper proposes Parallelized Linear Time-Variant Acceleration Coefficients and Inertial Weight of Particle Swarm Optimization algorithm(PLTVACIW-PSO).Its designed has introduced the benefits of Parallel computing into the combined power of TVAC(Time-Variant Acceleration Coefficients)and IW(Inertial Weight).Proposed algorithm has been tested against linear,non-linear,traditional,andmultiswarmbased optimization *** experimental study is performed in two stages to assess the proposed *** I uses 12 recognized Standard Benchmarks methods to evaluate the comparative performance of the proposed PLTVACIWPSO *** based Particle Swarm Optimization(PSO)algorithms,TVAC based PSO algorithms,traditional PSO,Genetic algorithms(GA),Differential evolution(DE),and,finally,Flower Pollination(FP)*** phase II,the proposed PLTVACIW-PSO uses the same 12 known Benchmark functions to test its performance against the BAT(BA)and multi-Swarm BAT *** phase III,the proposed PLTVACIW-PSO is employed to augment the feature selection problem formedical *** experimental study shows that the planned PLTVACIW-PSO outpaces the performances of other comparable *** from the experiments shows that the PLTVACIW-PSO is capable of outlining a feature subset that is capable of enhancing the classification efficiency and gives the minimal subset of the core features.

关键词： Particle swarm optimization(PSO) time-variant acceleration coefficients(TVAC) genetic algorithms differential evolution feature selection medical data

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