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A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第9期37卷 3059-3081页

作者： Ali Ahmadi Shahrakht Parisa Hajirahimi omid rostami Diego Martín Department of Industrial Engineering Sharif University of TechnologyTehran14588-89694Iran Department of Business Administration Boston UniversityBostonMA02215USA Department of Industrial Engineering University of HoustonHoustonTX77204USA ETSI de Telecomunicación Universidad Politécnica de MadridMadrid28040Spain

As the internet of things(IoT)continues to expand rapidly,the significance of its security concerns has grown in recent *** address these concerns,physical unclonable functions(PUFs)have emerged as valuable tools for enhancing IoT *** leverage the inherent randomness found in the embedded hardware of IoT ***,it has been shown that some PUFs can be modeled by attackers using machine-learning-based *** this paper,a new deep learning(DL)-based modeling attack is introduced to break the resistance of complex *** training DL models is a problem that falls under the category of NP-hard problems,there has been a significant increase in the use of meta-heuristics(MH)to optimize DL ***,it is widely recognized that finding the right balance between exploration and exploitation when dealing with complex problems can pose a significant *** address these chal-lenges,a novel migration-based multi-parent genetic algorithm(MBMPGA)is developed to train the deep convolutional neural network(DCNN)in order to achieve a higher rate of accuracy and convergence speed while decreas-ing the run-time of the *** the proposed MBMPGA,a non-linear migration model of the biogeography-based optimization(BBO)is utilized to enhance the exploitation ability of GA.A new multi-parent crossover is then introduced to enhance the exploration ability of *** behavior of the proposed MBMPGA is examined on two real-world optimization *** benchmark problems,MBMPGA outperforms other MH algorithms in convergence *** proposed model are also compared with previous attacking models on several simulated challenge-response pairs(CRPs).The simulation results on the XAPUF datasets show that the introduced attack in this paper obtains more than 99%modeling accuracy even on *** addition,the proposed MBMPGA-DCNN outperforms the state-of-the-art modeling attacks in a reduced timeframe and with a smaller number of requi

关键词： IoT security PUFs modeling attacks evolutionary deep learning migration-based multi-parent genetic algorithm

Pro and anti-inflammatory diets as strong epigenetic factors in inflammatory bowel disease

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World Journal of Gastroenterology 2024年第27期30卷 3284-3289页

作者： Adele rostami Kristen White Kamran rostami Digestive Health Clinic Palmerston North 4410New Zealand Digestive Health Clinic&Kōtare Wellness Ltd Palmerston North 4410New Zealand Department of Gastroenterology Palmerston North HospitalPalmerston North 4442New Zealand

Inflammatory bowel disease(IBD)is the consequence of a complex interplay between environmental factors,like dietary habits,that alter intestinal microbiota in response to luminal antigens in genetically susceptible *** represents an auspicious area for the discovery of how environmental factors influence the pathogenesis of inflammation,prognosis,and response to ***,it relates to gene expression control in response to environmental *** increasing number of patients with IBD globally is indicative of the negative effects of a food supply rich in trans and saturated fats,refined su-gars,starches and additives,as well as other environmental factors like seden-tarism and excess bodyweight,influencing the promotion of gene expression and increasing DNA hypomethylation in *** many genetic variants are now associated with Crohn's disease(CD),new therapeutic strategies targeting modi-fiable environmental triggers,such as the implementation of an anti-inflammatory diet that involves the removal of potential food antigens,are of growing interest in the current ***,as a strong epigenetic factor in the pathogenesis of inflammatory disorders like IBD,provides novel insights into the pathophysio-logy of intestinal and extraintestinal inflammatory disorders.

关键词： Inflammatory bowel disease Epigenetic Anti-inflammatory diet Immunogenetics Microbiome Polymeric diet Elemental diet

Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma:A step towards precision medicine

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World Journal of Gastroenterology 2024年第5期30卷 424-428页

作者： Abhimati Ravikulan Kamran rostami epartment of Gastroenterology Palmerston North HospitalPalmerston North 4442New Zealand

The high rate of early recurrence in hepatocellular carcinoma(HCC)post curative surgical intervention poses a substantial clinical hurdle,impacting patient outcomes and complicating postoperative *** advent of machine learning provides a unique opportunity to harness vast datasets,identifying subtle patterns and factors that elude conventional prognostic *** learning models,equipped with the ability to analyse intricate relationships within datasets,have shown promise in predicting outcomes in various medical *** the context of HCC,the application of machine learning to predict early recurrence holds potential for personalized postoperative care *** editorial comments on the study carried out exploring the merits and efficacy of random survival forests(RSF)in identifying significant risk factors for recurrence,stratifying patients at low and high risk of HCC recurrence and comparing this to traditional COX proportional hazard models(CPH).In doing so,the study demonstrated that the RSF models are superior to traditional CPH models in predicting recurrence of HCC and represent a giant leap towards precision medicine.

关键词： Machine learning Artificial intelligence Hepatocellular carcinoma Hepatology Early recurrence Liver resection

Use of GIS and BIM for the integration of tunnel designand construction process in conventional tunneling

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Underground Space 2024年第3期16卷 261-278页

作者： Mansour Hedayatzadeh Jamal rostami Vasilis Sarhosis Mojtaba Nematollahi Nabiollah Hajiantilaki Abouzar Shafiepour University of Leeds Leeds LS29JTUK Colorado School of Mines GoldenCO 80401USA University of Minho Guimaraes 4800-058Portugal General Mechanic Company Tehran ***Iran Ettehadrah Consulting Engineers Tehran Q83GVWVIran

This paper presents the development of a framework for the parametric design of tunnels using geographic information system (GIS)mapping and building information modelling (BIM). According to the framework, a parametric representation of each system component (e.g., layers of rock mass, size of excavation, topography, fault geometry, primary lining, secondary lining, rock bolts, etc.) can beincorporated in the GIS model with high levels of detail and used for the automatic generation of numerical models for the design oftunnel construction. This parametric evaluation allows the designer to consider several levels of detail for each component, for the effi-cient design and process optimization in conventional tunneling. Information between parametric analysis and numerical simulations canbe freely exchanged with significantly reduced computational effort while results can be exported into BIM. It is anticipated that the proposed framework could lead to a comprehensive, yet efficient analysis of complex conventional tunneling project using parametric evaluations at the early design stages.

关键词： Geographic information system Building information modelling Conventional tunneling Numerical simulations Parametric analysis

Analysis of CH_(4) and H_(2) Adsorption on Heterogeneous Shale Surfaces Using aMolecular Dynamics Approach

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Fluid Dynamics & Materials Processing 2024年第1期20卷 31-44页

作者： Surajudeen Sikiru Hassan Soleimani Amir rostami Mohammed Falalu Hamza Lukmon Owolabi Afolabi Centre of Subsurface Imaging(CSI) Universiti Teknologi PETRONASTronohPerakMalaysia Department of Geosciences Universiti Teknologi PETRONASBandar Seri IskandarTronohPerakMalaysia Department of Pure&Industrial Chemistry Faculty of Physical SciencesBayero University KanoKanoNigeria Department of Mechanical Engineering Engineering Institute of TechnologyMelbourne Campus VictoriaMelbourneAustralia

Determining the adsorption of shale gas on complex surfaces remains a challenge in molecular simulation *** essentially stem from the need to create a realistic shale structure model in terms of mineral heterogeneityand ***,precise characterization of the competitive adsorption of hydrogen andmethane in shale generally requires the experimental determination of the related adsorptive *** thisstudy,the adsorption of adsorbates,methane(CH_(4)),and hydrogen(H_(2))on heterogeneous shale surface modelsof Kaolinite,Orthoclase,Muscovite,Mica,C_(60),and Butane has been simulated in the frame of a moleculardynamic’s numerical *** results show that these behaviors are influenced by pressure and *** increasing the pressure from 500 to 2000 psi,the sorption effect for CH_(4)significantly increasesbut shows a decline at a certain stage(if compared to H_(2)).The research findings also indicate that raw shalehas a higher capacity to adsorb CH_(4)compared to ***,in shale,this difference is negligible.

关键词： Shale gas adsorption methane hydrogen molecular dynamic sorption

Hybrid robust fault detection and isolation of satellite reaction wheel actuators

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Journal of Control and Decision 2024年第1期11卷 117-131页

作者： H.Abbasi Nozari S.J.Sadati rostami Paolo Castaldi Silvio Simani Faculty of Electrical and Computer Engineering Babol Noshirvani University of TechnologyBabolIran Department of Electrical Electronic and Information EngineeringUniversity of BolognaCesenaItaly Department of Engineering University of FerraraFerraraItaly

In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric *** proposed methodology incorporates a residual generation module,including a bank of filters,into an intelligent residual evaluation ***,residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external *** residual evaluation module is developed based on the suggested series and parallel ***,a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance.A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances,manoeuvres,uncertainties,and *** obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.

关键词： Robust fault detection and isolation reaction wheels blended learning series and parallel fault detection and isolation forms satellite attitude control system

A machine learning-guided design and manufacturing of wearable nanofibrous acoustic energy harvesters

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Nano Research 2024年第10期17卷 9181-9192页

作者： Negar Hosseinzadeh Kouchehbaghi Maryam Yousefzadeh Aliakbar Gharehaghaji Safoora Khosravi Danial Khorsandi Reihaneh Haghniaz Ke Cao Mehmet R.Dokmeci Mohammad rostami Ali Khademhosseini Yangzhi Zhu Terasaki Institute for Biomedical Innovation Los AngelesCA 91367USA Department of Textile Engineering Amirkabir University of Technology(Tehran Polytechnic)Hafez Avenue*** TehranIran Department of Electrical and Computer Engineering University of British ColumbiaVancouverBC V6T1Z4Canada Chemical Sciences Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of Computer Science University of Southern CaliforniaLos AngelesCA 90007USA

Nanofibrous acoustic energy harvesters(NAEHs)have emerged as promising wearable platforms for efficient noise-to-electricity conversion in distributed power energy systems and wearable sound amplifiers for assistive listening ***,their reallife efficacy is hampered by low power output,particularly in the low-frequency range(<1 kHz).This study introduces a novel approach to enhance the performance of NAEHs by applying machine learning(ML)techniques to guide the synthesis of electrospun polyvinylidene fluoride(PVDF)/polyurethane(PU)nanofibers,optimizing their application in wearable *** use a feed-forward neural network along with solving an optimization problem to find the optimal input values of the electrospinning(applied voltage,nozzle-collector distance,electrospinning time,and drum rotation speed)to generate maximum output performance(acoustic-to-electricity conversion efficiency).We first prepared a dataset to train the network to predict the output power given the input variables with high *** introducing the neural network,we fix the network and then solve an optimization problem using a genetic algorithm to search for the input values that lead to the maximum energy harvesting *** ML-guided wearable PVDF/PU NAEH platform can deliver a maximal acoustoelectric power density output of 829μW/cm^(3) within the surrounding noise *** addition,our system can function stably in a broad frequency(0.1-2 kHz)with a high energy conversion efficiency of 66%.Sound recognition analysis reveals a robust correlation exceeding 0.85 among lexically akin terms with varying sound intensities,contrasting with a diminished correlation below 0.27 for words with disparate semantic ***,this work provides a previously unexplored route to utilize ML in advancing wearable NAEHs with excellent practicability.

关键词： wearable electronics acoustic energy harvester machine learning piezoelectric nanogenerator electrospun nanofiber

Hybrid algorithms for handling the numerical noise in topology optimization

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Acta Mechanica Sinica 2020年第2期36卷 536-554页

作者： Pooya rostami Javad Marzbanrad Vehicle Dynamical Systems Research Laboratory School of Automotive EngineeringIran University of Science and TechnologyNarmakTehranIran

This paper presents new hybrid methods for the identification of optimal topologies by combining the teaching-learning based optimization(TLBO)and the method of moving asymptotes(MMA).The topology optimization problem is parameterizing with a low dimensional explicit method called moving morphable components(MMC),to make the use of evolutionary algorithms more ***-based solvers have good performance in solving large-scale topology optimization ***,in unconventional cases same as crashworthiness design in which there is numerical noise in the gradient information,the uses of these algorithms are *** standard evolutionary algorithms can solve such problems since they don’t need gradient ***,they have a high computational *** paper is based upon the idea of combining metaheuristics with mathematical programming to handle the probable noises and have faster convergence *** to the ease of computations,the compliance minimization problem is considered as the case study and the artificial noise is added in gradient information.

关键词： Topology optimization Teaching-learning based optimization Method of moving asymptotes Moving morphable components

Geology,geochemistry,fluid inclusions and O-H stable isotope constraints on genesis of the Lake Siah Fe-oxide±apatite deposit,NE Bafq,Central Iran

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Acta Geochimica 2020年第6期39卷 920-946页

作者： Ebrahim TaleFazel Mahin rostami Department of Geology Faculty of Science.Bu-Ali Sina UniversityHamedanIran

The Lake Siah iron±apatite deposit is situated in the Bafq Mining District(BMD),Central *** iron±apatite orebodies are hosted by a succession of rhyolite,rhyolitie tuff,trachyandesite,and andesite of Lower Cambrian *** host rock has undergone wide-spread alteration and mineralization stages including Na(albite-quartz),followed by Na-Ca(albite-calcite--am-phibole-magnetite±quartz±epidote),magnetite-ap-atite,K(biotite±K-feldspar),hydrolytic(sericite-quartz),and argillic(kaolinite--montmorillonite±dickite),*** microprobe analyses(EPMA)from mag-netite and hematite show significant variations of trace *** on Ni/Cr+Mn and Ca+Al+Mn ver-sus Ti+V diagrams,the majority of magnetite samples belong to Kiruna-type *** least,three generations of fluid inclusions,including solid-bearing(L+V+S)(Type I),liquid-rich(L+V)(Type II-A),vapor-rich(L+V)(Type II-B),and liquid or vapor mono-phase(Type II),are recognized in quartz and *** solid-bearing fluid inclusions in quartz completely homogenized at temperatures of 150 to>530℃with salinities of 30--58 wt%NaCl ***-rich fluid inclusions in apatite homogenized to a liquid phase at 175--210℃,whereas the vapor-rich fuid inclusions homogenized to a vapor at 335-350°*** isotope analysis was carried out on quartz and *** hydrogen and oxygen isotopic compositions of quartz(8"Onuid values of 7.57-11.04%)show that with progress in time the ore-forming solutions gradually evolved from a magmatic to meteoric-dominated source.

关键词： Iron oxide-apatite Lower Cambrian Kirunatype Bafq Mining District Lake Siah