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A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations

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Defence Technology（防务技术） 2022年第9期18卷 1563-1577页

作者： Shannon Ryan Julian Berk Santu rana Brodie McDonald Svetha Venkatesh Applied Artificial Intelligence Institute(A^(2)I^(2)) Deakin University75 Pigdons RdWaurn PondsVIC3216Australia Defence Science and Technology Group 506 Lorimer StreetFishermans BendVIC3207Australia

We present an inverse methodology for deriving viscoplasticity constitutive model parameters for use in explicit finite element simulations of dynamic processes using functional experiments, i.e., those which provide value beyond that of constitutive model development. The developed methodology utilises Bayesian optimisation to minimise the error between experimental measurements and numerical simulations performed in LS-DYNA. We demonstrate the optimisation methodology using high hardness armour steels across three types of experiments that induce a wide range of loading conditions: ballistic penetration, rod-on-anvil, and near-field blast deformation. By utilising such a broad range of conditions for the optimisation, the resulting constitutive model parameters are generalised, i.e., applicable across the range of loading conditions encompassed the by those experiments(e.g., stress states, plastic strain magnitudes, strain rates, etc.). Model constants identified using this methodology are demonstrated to provide a generalisable model with superior predictive accuracy than those derived from conventional mechanical characterisation experiments or optimised from a single experimental condition.

关键词： Constitutive modelling Finite element Bayesian optimisation Finite element model updating

Swarm-Based Extreme Learning Machine Models for Global Optimization

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Computers, Materials & Continua 2022年第3期70卷 6339-6363页

作者： Mustafa Abdul Salam Ahmad Taher Azar rana Hussien Artificial Intelligence Department Faculty of Computers and Artificial IntelligenceBenha UniversityBenha13518Egypt Scientific Computing Department Faculty of Computers and Artificial IntelligenceBenha UniversityBenha13518Egypt

Extreme Learning Machine(ELM)is popular in batch learning,sequential learning,and progressive learning,due to its speed,easy integration,and generalization ***,Traditional ELM cannot train massive data rapidly and efficiently due to its memory residence,high time and space *** ELM,the hidden layer typically necessitates a huge number of ***,there is no certainty that the arrangement of weights and biases within the hidden layer is *** solve this problem,the traditional ELM has been hybridized with swarm intelligence optimization *** paper displays five proposed hybrid Algorithms“Salp Swarm Algorithm(SSA-ELM),Grasshopper Algorithm(GOA-ELM),Grey Wolf Algorithm(GWO-ELM),Whale optimizationAlgorithm(WOA-ELM)andMoth Flame Optimization(MFO-ELM)”.These five optimizers are hybridized with standard ELM methodology for resolving the tumor type classification using gene expression *** proposed models applied to the predication of electricity loading data,that describes the energy use of a single residence over a fouryear *** the hidden layer,Swarm algorithms are used to pick a smaller number of nodes to speed up the execution of *** best weights and preferences were calculated by these algorithms for the hidden *** results demonstrated that the proposed MFO-ELM achieved 98.13%accuracy and this is the highest model in accuracy in tumor type classification gene expression *** in predication,the proposed GOA-ELM achieved 0.397which is least RMSE compared to the other models.

关键词： Extreme learning machine salp swarm optimization algorithm grasshopper optimization algorithm grey wolf optimization algorithm moth flame optimization algorithm bio-inspired optimization classification model and whale optimization algorithm

Climatic regionalization mapping of the Murrumbidgee Irrigation Area,Australia

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Progress in Natural Science:Materials International 2009年第12期19卷 1773-1779页

作者： Shahbaz Khan Akhtar Abbas Tariq rana Sustainable Water Resources Development and Management Section Division of Water SciencesUNESCOIrue Miollis 75015 ParisFrance CSIRO Land and Water University CanberraACTAustralia Murray Darling Basin Authority CanberraACTAustralia

In this study,spatial analysis techniques were used to generate climatic zoning maps of the East Murrumbidgee Irrigation Area(MIA), *** term climate data were used to analyze and assess regional climatic variation by cluster analysis in a GIS environment. Based on thermal and moisture factors,four variables were chosen to develop climate *** variables include annual average rainfalls, annual average ETc,annual average Growing Day Degree(GDD) and daily average temperature generated from daily climate data of 36 years(1971-2006) on 12 local weather stations as the fundamental elements of regional climate ***-based spatial analysis models are used to map climate sub-regions from sets of climatic parameters derived from regional climate data *** climate zoning schemes are presented by integration of spatial interpolation,spatial cluster analysis and climate indices *** scheme comes with the two climate zones of the West and the East based on spatial cluster analysis according to selected climatic variables, and the other comes with the three comprehensive hydro-thermal zones and the six hydro-thermal balance zones.

关键词： Agro-climatic regionalization Regional climatic variation Climatic zone mapping Murrumbidgee Irrigation Area GIS

Nano CuO/g-C_3N_4 sheets-based ultrafiltration membrane with enhanced interfacial affinity,antifouling and protein separation performances for water treatment application

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Journal of Environmental Sciences 2019年第8期31卷 57-69页

作者： Thanigaivelan Arumugham Reshika Gnanamoorthi Amimodu Noel Jacob Kaleekkal Dipak rana Department of Chemistry School of Advanced Sciences Vellore Institute of Technology (VIT) Department of Integrative Biology School of Bioscience and Technology Vellore Institute of Technology (VIT) Department of Chemical Engineering National Institute of Technology Calicut Department of Chemical and Biological Engineering Industrial Membrane Research Institute University of Ottawa

To improve the interfacial affinity and antifouling properties of polyphenylsulfone(PPSU)membrane, nano CuO/g-C3 N4(g-CN) sheets were synthesized via facile calcination route as one pot synthesis method. The uniformly assembled nanohybrid fillers, CuO on g-CN sheets were confirmed by using XRD, TEM, EDX and FTIR analysis. The non-solvent induced phase inversion technique was used to fabricate the nanohybrid ultrafiltration(UF)membranes by doping different concentration(0.5–1 wt.%) of nano CuO/g-C_3 N_4(g-CN)sheets within the PPSU matrix. The results of contact angle, atomic force microscopy,energy-dispersive X-ray spectroscopy reveal that surface structure and physico-chemical properties of nanohybrid membrane plays lead role in solute interaction and rejection compared to bare membrane, M0. Furthermore, the interfacial affinity of membrane was explored in detail via surface free energy, spreading coefficient, wetting tension and reversible work of adhesion analysis. Nanohybrid UF membrane, with 0.5% of the filler(M1)displayed remarkable permeation flux of 202, 131 L/m2/hr for pure water and protein solution, respectively while maintaining a high protein rejection(96%). Moreover, the exceptional dispersion of the nanosheets in the polymer matrix enhanced FRR(79%) and decreased the overall resistance of M1 compared to the pristine membrane(M0). Overall results suggest that the incorporation of nano sheets is a facile modification technique which improves the comprehensive membrane performance and holds a great potential to be further explored for water treatment.

关键词： Ultrafiltration membrane Copper oxide Graphitic carbon nitride Interfacial affinity Antifouling Protein removal

The role of functional materials to produce high areal capacity lithium sulfur battery

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Journal of Energy Chemistry 2020年第3期29卷 195-209页

作者： Masud rana Bin Luo Mohammad Rejaul Kaiser Ian Gentle Ruth Knibbe Materials Engineering School of Mechanical and Mining EngineeringUniversity of QueenslandSt LuciaQLD 4072Australia Nanomaterials Centre School of Chemical Engineering and Australian Institute for Bioengineering and NanotechnologyThe University of Queensland QLDSt Lucia 4072Australia School of Chemistry and Molecular Biosciences Faculty of ScienceThe University of QueenslandSt LuciaQLD 4072Australia Commonwealth Scientific and Industrial Research Organization(CSIRO) Manufacturing Business Unit36 Bradfield RoadLindfieldNSW 2070Australia

The lithium sulfur batteries(LSBs) are considered as one of the promising next generation energy storage devices due to the high theoretical specific capacity of sulfur(1675 m Ah g-1), naturally available, low ***, the practical LSBs are impeded by the well-known "shuttle effect" combined with other technical drawbacks. The "shuttle effect" causes rapid capacity decay, severe self-discharging and low active material utilization. The polysulfide(PS) which has lone pair electrons in each sulfur atom is considered as Lewis base and shows strong affinity to various polar, Lewis acid and catenation interactive materials but very weakly interacts with the non-polar conductive carbons. The "shuttle effect" occurs due to the diffusion of high order PS from the cathode to the anode and then low-order PS back to the cathode. The PS is polar and, due to a lone pair of electrons associated with the sulfur atom, is considered a Lewis base. As such, the PS shows a strong affinity with various polar and Lewis acid materials. In addition, a more novel trapping can be performance through a catenation reaction. For LSBs to compete with the state-of-the-art lithium ion batteries(LIBs), the LSB areal capacity need to be ~6 m Ah cm-2(which is proportional to sulfur loading). To achieve this target the PS shuttling needs to mitigate, which can be achieved through using functional materials. This review addresses the aforementioned phenomena by considering the PS phase interacts with the various functional materials and how this impacts areal capacity and cycling stability of LSBs.

关键词： Sulfur loading Specific capacity Areal capacity Polysulfides Chemical interaction

RBFK cipher:a randomized butterfly architecture‑based lightweight block cipher for IoT devices in the edge computing environment

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网络空间安全科学与技术(英文) 2023年第3期6卷 18-36页

作者： Sohel rana M.Rubaiyat Hossain Mondal Joarder Kamruzzaman Institute of Information and Communication Technology Bangladesh University of Engineering and TechnologyDhakaBangladesh Centre for Smart Analytics Federation University AustraliaGippslandVIC 3842Australia

Internet security has become a major concern with the growing use of the Internet of Things(IoT)and edge computing *** though data processing is handled by the edge server,sensitive data is generated and stored by the IoT devices,which are subject to *** most IoT devices have limited resources,standard security algorithms such as AES,DES,and RSA hamper their ability to run *** this paper,a lightweight symmetric key cipher termed randomized butterfly architecture of fast Fourier transform for key(RBFK)cipher is proposed for resource-constrained IoT devices in the edge computing *** butterfly architecture is used in the key scheduling system to produce strong round keys for five rounds of the encryption *** RBFK cipher has two key sizes:64 and 128 bits,with a block size of 64 *** RBFK ciphers have a larger avalanche effect due to the butterfly architecture ensuring strong *** proposed cipher satisfies the Shannon characteristics of confusion and *** memory usage and execution cycle of the RBFK cipher are assessed using the fair evaluation of the lightweight cryptographic systems(FELICS)*** proposed ciphers were also implemented using MATLAB 2021a to test key sensitivity by analyzing the histogram,correlation graph,and entropy of encrypted and decrypted *** the RBFK ciphers with minimal computational complexity provide better security than recently proposed competing ciphers,these are suitable for IoT devices in an edge computing environment.

关键词： Avalanche effects Block ciphers Butterfly architecture Edge computing FELICS IoT Lightweight cryptosystems MATLAB

Bulk etch rates of CR-39 at high etchant concentrations:diffusionlimited etching

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Nuclear Science and Techniques 2020年第12期31卷 41-49页

作者： E.M.Awad M.A.rana Mushtaq Abed Al-Jubbori Physics Department Faculty of ScienceMenoufia UniversityShebin El-KoomMenoufia 32511Egypt MERADD Instrumentation Control and Computer Complex(ICCC)PARAS Building18-KM Multan RoadP.O.ChungLahorePakistan Department of Physics College of Education for Pure SciencesUniversity of MosulMosul 41001Iraq

Systematic CR-39 bulk etching experiments were conducted over a wide range of concentrations(2–30 N)of NaOH-based *** analysis and a deep discussion of the results are presented.A comprehensive nuclear track chemical etching data bank was *** regimes of CR-39 bulk etching were *** I spans etchant concentrations from 2 to 12 *** II spans concentrations from 12 to 25 *** call this the dynamic bulk etching *** III is for concentrations greater than 25 *** this regime,the bulk etch rate is saturated with respect to the etchant *** classification is discussed and *** role of ethanol in NaOH-based etchants is explored and discussed.A parameter called the “reduced bulk etch rate” is defined here,which helps in analyzing the dependence of bulk etching on the amount of ethanol in the *** bulk etch rate shows a natural logarithmic dependence on the density of ethanol in the etchant.

关键词： CR-39 detector Ethanol Bulk etch rate Reduced bulk etch rate Diffusion-limited etching Concentration-limited etching

The role of chemosensory protein 10 in the detection of behaviorally active compounds in brown planthopper, Nilaparvata lugens

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Insect Science 2020年第3期27卷 531-544页

作者： Muhammad Irfan Waris Aneela Younas Muhammad Muzammal Adeel Shuang-Gang Duan Sundas rana Quershi rana Muhammad Kaleem Ullah Man-Qun Wang Hubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory College of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina College of informatics Huazhong Agricultural UniversityWuhanChina

Chemosensory proteins(CSPs)play important roles in insects’chemoreception,although their specific functional roles have not been fully *** this study,we conducted the developmental expression patterns and competitive binding assay as well as knock‐down assay by RNA interference both in vitro and in vivo to reveal the function of NlugCSP10 from the brown planthopper(BPH),Nilaparvata lugens(Stål),a major pest in rice *** results showed that NlugCSP10 messenger RNA was significantly higher in males than in females and correlated to gender,development and wing *** fluorescence binding assays revealed that NlugCSP10 exhibited the highest binding affinity with cis‐3‐hexenyl acetate,eicosane,and(+)‐β‐*** assay revealed that eicosane displayed attractant activity,while cis‐3‐hexenyl acetate,similar to(+)‐β‐pinene significantly repelled *** *** of NlugCSP10,which is responsible for cis‐3‐hexenyl acetate binding,significantly disrupted cis‐3‐hexenyl acetate ***,findings of the present study showed that NlugCSP10 could selectively interrelate with numerous volatiles emitted from host plants and these ligands could be designated to develop slow‐release mediators that attract/repel *** and subsequently improve the exploration of plans to control this insect pest.

关键词： behavioral responses chemosensory proteins expression patterns fluorescence competitive binding assays RNA interference

Habitual khat chewing and oral melanoacanthoma: A case report

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World Journal of Clinical Cases 2023年第2期11卷 449-455页

作者： Hamad Albagieh Ashwag Aloyouny rana Alshagroud Abdulaziz Alwakeel Shahad Alkait Fatimah Almufarji Ghadeer Almutairi rana Alkhalaf Oral Medicine and Diagnostic Science Department College of DentistryKing Saud UniversityRiyadh 12372Saudi Arabia Basic Dental Science College of DentistryPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Oral Medicine Ministry of HealthTabuk 00000Saudi Arabia Postgraduate College of DentistryPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia

BACKGROUND Habitual khat(Catha edulis) chewing has been proven to cause numerous oral tissue changes. However, oral melanoacanthoma triggered by chronic khat chewing is rare. Oral melanoacanthoma is an uncommon, sudden, asymptomatic, benign pigmentation of the oral cavity. Under the microscope, the epithelial layer of the oral mucosa showed dendritic melanocyte proliferation and acanthosis. The study aimed to highlight chronic khat chewing as a trigger for oral *** SUMMARY In the current study, we report a case of a 26-year-old male patient with a rare presentation of oral melanoacanthoma triggered by regular khat chewing. Many intrinsic and extrinsic factors can cause oral pigmentation. Chewing khat is an extrinsic factor that can cause several diseases, including oral pigmentation. In this case, the definitive diagnosis was oral melanoacanthoma. This diagnosis was made based on the patient’s history, clinical lesion presentation, and microscopic biopsy *** Habitual khat(Catha edulis) chewing causes many oral tissue changes including oral melanoacanthoma. The study aimed to highlight chronic khat chewing as a trigger for oral melanoacanthoma.

关键词： Oral melanoacanthoma Oral lesion Qaat chewing Oral pigmentation Brown pigmentation Benign lesion Case report