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Frontiers of Structural and Civil Engineering 2023年第3期17卷 378-395页

作者： Reza JAVANMARDI behrouz ahmadi-nedushan Department of Civil Engineering Yazd UniversityYazd 89195Iran

This paper presents a combined method based on optimized neural networks and optimization algorithms to solve structural optimization *** main idea is to utilize an optimized artificial neural network(OANN)as a surrogate model to reduce the number of computations for structural ***,the OANN is trained ***,the main optimization problem is solved using the OANN and a population-based *** algorithms considered in this step are the arithmetic optimization algorithm(AOA)and genetic algorithm(GA).Finally,the abovementioned problem is solved using the optimal point obtained from the previous step and the pattern search(PS)*** evaluate the performance of the proposed method,two numerical examples are *** the first example,the performance of two algorithms,OANN+AOA+PS and OANN+GA+PS,is *** the GA reduces the elapsed time by approximately 50%compared with using the *** show that both the OANN+GA+PS and OANN+AOA+PS algorithms perform well in solving structural optimization problems and achieve the same optimal ***,the OANN+GA+PS algorithm requires significantly fewer function evaluations to achieve the same accuracy as the OANN+AOA+PS algorithm.

关键词： optimization surrogate models artificial neural network SAP2000 genetic algorithm

An efficient two-stage approach for structural damage detection using meta-heuristic algorithms and group method of data handling surrogate model

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Frontiers of Structural and Civil Engineering 2020年第4期14卷 907-929页

作者： Hamed FATHNEJAT behrouz ahmadi-nedushan Department of Civil Engineering Yazd UniversityYazd 89195-741Iran

In this study,the performance of an efficient two-stage methodology which is applied in a damage detection system using a surrogate model of the structure has been *** the first stage,in order to locate the damage accurately,the performance of the modal strain energy based index for using different numbers of natural mode shapes has been evaluated using the confusion *** the second stage,to estimate the damage extent,the sensitivity of most used modal properties due to damage,such as natural frequency and flexibility matrix is compared with the mean normalized modal strain energy(MNMSE)of suspected damaged ***,a modal property change vector is evaluated using the group method of data handling(GMDH)network as a surrogate model during damage extent estimation by optimization algorithm;in this part of methodology,the performance of the three popular optimization algorithms including particle swarm optimization(PSO),bat algorithm(BA),and colliding bodies optimization(CBO)is examined and in this regard,root mean square deviation(RMSD)based on the modal property change vector has been proposed as an objective ***,the effect of noise in the measurement of structural responses by the sensors has also been ***,in order to achieve the most generalized neural network as a surrogate model,GMDH performance is compared with a properly trained cascade feed-forward neural network(CFNN)with log-sigmoid hidden layer transfer *** results indicate that the accuracy of damage extent estimation is acceptable in the case of integration of PSO and ***,the GMDH model is also more efficient and mimics the behavior of the structure slightly better than CFNN model.

关键词： two-stage method modal strain energy surrogate model GMDH optimization damage detection

A survey on semantic communications:Technologies,solutions,applications and challenges

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Digital Communications and Networks 2024年第3期10卷 528-545页

作者： Yating Liu Xiaojie Wang Zhaolong Ning MengChu Zhou Lei Guo behrouz Jedari School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China Baotou Vocational&Technical College Baotou 014035China School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102USA Nokia Finland

Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity *** the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for *** this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are ***,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are *** of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are ***,some challenges and future research directions are presented to provide guidance for further research of SC.

关键词： Semantic communication Semantic coding Semantic extraction Semantic communication framework Semantic communication applications

Survivability evaluation for networks carrying complex traffic flows

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Digital Communications and Networks 2023年第2期9卷 534-544页

作者： Amin Jamali Mehdi Berenjkoub Hossein Saidi behrouz Shahgholi Ghahfarokhi Faculty of Computer Engineering University of IsfahanIsfahan***Iran Department of Electrical and Computer Engineering Isfahan University of TechnologyIsfahan***Iran

The capability of a system to fulfill its mission promptly in the presence of attacks,failures,or accidents is one of the qualitative definitions of *** this paper,we propose a model for survivability quantification,which is acceptable for networks carrying complex traffic *** network traffic is considered as general multi-rate,heterogeneous traffic,where the individual bandwidth demands may aggregate in complex,nonlinear *** probability is the chosen measure for survivability *** study an arbitrary topology and some other known topologies for the *** and dependent failure scenarios as well as deterministic and random traffic models are ***,we provide survivability evaluation results for different network *** results show that by using about 50%of the link capacity in networks with a relatively high number of links,the blocking probability remains near zero in the case of a limited number of failures.

关键词： Blocking probability Complex traffic Link failure Network survivability Disaster recovery Information assurance

Changes in hydrologic components from a mid-sized plots induced by rill erosion due to cyanobacterization

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International Soil and Water Conservation Research 2022年第1期10卷 143-148页

作者： Atefeh Jafarpoor Seyed Hamidreza Sadeghi behrouz Zarei Darki Mehdi Homaee Department of Watershed Management Engineering Faculty of Natural ResourcesTarbiat Modares UniversityNoorIran Department of Watershed Management Engineering Faculty of Natural ResourcesTarbiat Modares University.Noor46417-76489Iran Department of Marine Biology Faculty of Marine ScienceTarbiat Modares UniversityNoorIran Agrohydrology Research Group College of AgricultureTarbiat Modares UniversityTehran 14115-336Iran Department of mining Engineering Faculty of EngineeringTarbiat Modares UniversityTehran 14115Iran

Runoff components are the most important factors in explaining the hydrological behaviour of a *** that the proper understanding of the runoff processes may effectively help managers and decision-makers adopt appropriate *** this regard,there are variety of approaches to handle runoff generation,but the application of environmentally friendly,biologic-based and cost-effective approaches such as soil microorganisms has been seldom *** study has therefore tried to investigate the role of inoculation of cyanobacteria on runoff components under rain simulation conditions at the mid-sized(i.e.,6×1m)plots installed at=30% slope *** treated plots were subjected to a simulated rainfall with an intensity of 50 mm h^(-1) and an initial duration of 30 min with three replica-tions.A simulated runoff of 2.18±0.32 Lmin^(-1) was also performed simultaneously on the onset of starting surface *** results showed significant differences(P<0.021)in hydrological behaviours in control and treated *** that no surface runoff was produced in treated plots up to the end of the initial duration of 30 min of simulated *** results revealed that cyanobacterization by secretion of exopolysaccharides not only postponed runoff generation but also effectively inhibited runoff com-ponents even if the rainfall incident extended for longer *** positive effect of cyanobacterization on increasing infiltration and potential storage of water beneath the soil was also verified in the present study,which suggests the profitable application of cyanobacteria for regulating hydrologic components.

关键词： Soil bio-crust Soil infiltration Water balance Water management

Improved Prediction of Slope Stability under Static and Dynamic Conditions Using Tree-BasedModels

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Computer Modeling in Engineering & Sciences 2023年第10期137卷 455-487页

作者： Feezan Ahmad Xiaowei Tang Jilei Hu Mahmood Ahmad behrouz Gordan State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian116024China Key Laboratory of Geological Hazards on Three Gorges Reservoir Area Ministry of EducationChina Three Gorges UniversityYichang443002China Department of Civil Engineering Faculty of EngineeringInternational Islamic University MalaysiaJalan GombakSelangor50728Malaysia Department of Civil Engineering University of Engineering and Technology Peshawar(Bannu Campus)Bannu28100Pakistan Faculty of Civil Engineering Islamic Azad UniversityVaramin Pishva BranchTehran15914Iran

Slope stability prediction plays a significant role in landslide disaster prevention and *** paper’s reduced error pruning(REP)tree and random tree(RT)models are developed for slope stability evaluation and meeting the high precision and rapidity requirements in slope *** data set of this study includes five parameters,namely slope height,slope angle,cohesion,internal friction angle,and peak ground *** available data is split into two categories:training(75%)and test(25%)*** output of the RT and REP tree models is evaluated using performance measures including accuracy(Acc),Matthews correlation coefficient(Mcc),precision(Prec),recall(Rec),and *** applications of the aforementionedmethods for predicting slope stability are compared to one another and recently established soft computing models in the *** analysis of the Acc together with Mcc,and F-score for the slope stability in the test set demonstrates that the RT achieved a better prediction performance with(Acc=97.1429%,Mcc=0.935,F-score for stable class=0.979 and for unstable case F-score=0.935)succeeded by the REP tree model with(Acc=95.4286%,Mcc=0.896,F-score stable class=0.967 and for unstable class F-score=0.923)for the slope stability dataset The analysis of performance measures for the slope stability dataset reveals that the RT model attains comparatively better and reliable results and thus should be encouraged in further research.

关键词： Slope stability seismic excitation static condition random tree reduced error pruning tree

Accurate threat hunting in industrial internet of things edge devices

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Digital Communications and Networks 2023年第5期9卷 1123-1130页

作者： Abbas Yazdinejad behrouz Zolfaghari Ali Dehghantanha Hadis Karimipour Gautam Srivastava Reza M.Parizi Cyber Science Lab School of Computer ScienceUniversity of GuelphOntarioCanada Department of Electrical and Software Engineering University of CalgaryAlbertaCanada Department of Mathematics and Computer Science Brandon UniversityBrandonCanada College of Computing and Software Engineering Kennesaw State UniversityGAUSA Research Center for Interneural Computing China Medical UniversityTaichungTaiwanChina Department of Computer Science and Mathematics Lebanese American UniversityBeirut1102Lebanon

Industrial Internet of Things(IIoT)systems depend on a growing number of edge devices such as sensors,controllers,and robots for data collection,transmission,storage,and *** kind of malicious or abnormal function by each of these devices can jeopardize the security of the entire ***,they can allow malicious software installed on end nodes to penetrate the *** paper presents a parallel ensemble model for threat hunting based on anomalies in the behavior of IIoT edge *** proposed model is flexible enough to use several state-of-the-art classifiers as the basic learner and efficiently classifies multi-class anomalies using the Multi-class AdaBoost and majority *** evaluations using a dataset consisting of multi-source normal records and multi-class anomalies demonstrate that our model outperforms existing approaches in terms of accuracy,F1 score,recall,and precision.

关键词： IIoT Threat hunting Edge devices Multi-class anomalies Ensemble methods

Development of AZ91/SiC surface composite by FSP:effect of vibration and process parameters on microstructure and mechanical characteristics

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Advances in Manufacturing 2020年第1期8卷 82-96页

作者： behrouz Bagheri Mahmoud Abbasi Department of Mining and Metallurgy Amirkabir University of TechnologyTehranIran Faculty of Engineering University of Kashan.KashanIran

A surface composite layer enhances the mechanical characteristics of a surface while retaining the properties of the base *** stir processing(FSP)is a method for forming surface metal matrix composites(SMMCs)that reinforce a surface with *** the current study,a new method entitled friction stir vibration processing(FSVP)was applied to form SMMCs on the surface of AZ91 magnesium alloy with SiC particles as the reinforcing *** to FSP,in FSVP,the workpiece was vibrated normal to the processing line while the tool rotated and *** microstructure and mechanical properties of friction stir(FS)and friction stir vibration(FSV)processed specimens were ***,the effects of vibration frequency and process parameters on different characteristics of FS and FSV processed specimens were *** results showed that the stir zone grains for FSV processed specimens were finer than those for FS processed specimens,and the second phase particles(SiC particles)had a more homogenous distribution in the former specimens than in the latter *** was related to the effect of workpiece vibration during FSVP,which increased the material deformation and led to enhanced dynamic recrystallization and the breakdown of agglomerated SiC *** results indicated that the stir zone grain size decreased,and the distribution homogeneity of the SiC particles increased as vibration frequency *** was also observed that the stir zone grain size increased,and the mechanical properties of the processed specimens decreased as tool rotation speed increased.

关键词： Friction stir processing(FSP) Vibration AZ91 magnesium alloy Dynamic recrystallization Microstructure Mechanical properties

A Full Nesterov-Todd Step Feasible Weighted Primal-Dual Interior-Point Algorithm for Symmetric Optimization

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Journal of the Operations Research Society of China 2013年第4期1卷 467-481页

作者： behrouz Kheirfam Department of Mathematics Azerbaijan Shahid Madani UniversityTabrizIran

In this paper a weighted short-step primal-dual interior-point algorithm for linear optimization over symmetric cones is proposed that uses new search *** algorithm uses at each interior-point iteration a full Nesterov-Todd step and the strategy of the central path to obtain a solution of symmetric *** establish the iteration bound for the algorithm,which matches the currently best-known iteration bound for these methods,and prove that the algorithm is quadratically convergent.

关键词： Symmetric cone optimization Full Nesterov-Todd step Target-following Polynomial complexity

A Modified and Simplified Full Nesterov–Todd Step O(N)Infeasible Interior-Point Method for Second-Order Cone Optimization

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Journal of the Operations Research Society of China 2018年第2期6卷 301-315页

作者： behrouz Kheirfam Department of Applied Mathematics Azarbaijan Shahid Madani UniversityTabrizIran

We present a modified and simplified version of an infeasible interior-point method for second-order cone optimization published in 2013(Zangiabadi et *** J Optim Theory Appl,2013).In the earlier version,each iteration consisted of one socalled feasibility step and a few centering ***,each iteration consists of only a feasibility ***,the new algorithm improves the number of iterations and the improvement is due to a lemma which gives an upper bound for the proximity after the feasibility *** complexity result coincides with the best-known iteration bound for infeasible interior-point methods.

关键词： Second-order cone optimization Infeasible interior-point method Primal-dual method Polynomial complexity