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Increasing the Maximum Capacity Path in a Network and Its Application for Improving the Connection Between Two Routers

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Tsinghua Science and technology 2024年第3期29卷 753-765页

作者： Adrian M.Deaconu Javad Tayyebi Department of Mathematics and Computer Science Transilvania University of BrasovBrasov 500036Romania Department of Industrial Engineering Birjand University of TechnologyBirjand 000097Iran

Abstract:This paper addresses the problem of improving the optimal value of the Maximum Capacity Path(MCP)through expansion in a flexible network,and minimizing the involved *** only condition applied to the cost functions is to be non-decreasing *** is a non-restrictive condition,reflecting the reality in practice,and is considered for the first time in the ***,the total cost of expansion is a combination of max-type cost(e.g.,for supervision)and sum-type cost(*** building infrastructures,price of materials,price of labor,etc.).For this purpose,two types of strategies are combined:(l)increasing the capacity of the existing arcs,and(l)adding potential new *** different problems are introduced and *** the problems have immediate applications in Internet routing *** first one is to extend the network,so that the capacity of an McP in the modified network becomes equal to a prescribed value,therefore the cost of modifications is minimized.A strongly polynomial-time algorithm is deduced to solve this *** second problem is a network expansion under a budget constraint,so that the capacity of an McP is maximized.A weakly polynomial-time algorithm is presented to deal with *** the special case when all the costs are linear,a Meggido's parametric search technique is used to develop an algorithm for solving the problem in strongly polynomial *** new approach has a time complexity of O(n^(4)),which is better than the time complexity of O(n4 log(n)of the previously known method from literature.

关键词： Maximum Capacity Path(MCP) network expansion Internet routing polynomial-time algorithms

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Deep Transfer Learning Techniques in Intrusion Detection System-Internet of Vehicles: A State-of-the-Art Review

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Computers, Materials & Continua 2024年第8期80卷 2785-2813页

作者： Wufei Wu Javad Hassannataj Joloudari Senthil Kumar Jagatheesaperumal Kandala N.V.P.SRajesh Silvia Gaftandzhieva Sadiq Hussain Rahimullah Rabih Najibullah Haqjoo Mobeen Nazar Hamed Vahdat-Nejad Rositsa Doneva School of Information Engineering Nanchang UniversityNanchang330031China Department of Computer Engineering Technical and Vocational University(TVU)Tehran***Iran Department of Computer Engineering University of BirjandBirjand***Iran Department of Computer Engineering Babol BranchIslamic Azad UniversityBabol***Iran Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India School of Electronics Engineering VIT-AP UniversityNear Vijayawada522237India Faculty of Mathematics and Informatics University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria Examination Branch Dibrugarh UniversityDibrugarh786004India Department of Computer Engineering Faculty of EngineeringUniversity of BirjandBirjand***Iran Faculty of Electrical and Computer Engineering University of BirjandBirjand***Iran Malaysian Institute of Information technology Universiti Kuala LumpurKuala Lumpur50250Malaysia Faculty of Physics and technology University of Plovdiv Paisii HilendarskiPlovdiv4000Bulgaria

The high performance of IoT technology in transportation networks has led to the increasing adoption of Internet of Vehicles(IoV)*** functional advantages of IoV include online communication services,accident prevention,cost reduction,and enhanced traffic *** these benefits,IoV technology is susceptible to cyber-attacks,which can exploit vulnerabilities in the vehicle network,leading to perturbations,disturbances,non-recognition of traffic signs,accidents,and vehicle *** paper reviews the state-of-the-art achievements and developments in applying Deep Transfer Learning(DTL)models for Intrusion Detection Systems in the Internet of Vehicles(IDS-IoV)based on anomaly ***-IoV leverages anomaly detection through machine learning and DTL techniques to mitigate the risks posed by *** systems can autonomously create specific models based on network data to differentiate between regular traffic and *** these techniques,transfer learning models are particularly promising due to their efficacy with tagged data,reduced training time,lower memory usage,and decreased computational *** evaluate DTL models against criteria including the ability to transfer knowledge,detection rate,accurate analysis of complex data,and *** review highlights the significant progress made in the field,showcasing how DTL models enhance the performance and reliability of IDS-IoV *** examining recent advancements,we provide insights into how DTL can effectively address cyber-attack challenges in IoV environments,ensuring safer and more efficient transportation networks.

关键词： Cyber-attacks internet of things internet of vehicles intrusion detection system

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人工神经网络与遗传算法预测液体晃荡参数的比较

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哈尔滨工程大学学报（英文版） 2024年第2期23卷 292-301页

作者： Hassan Saghi Mohammad Reza Sarani Nezhad Reza Saghi Sepehr Partovi Sahneh Department of Civil Engineering Hakim Sabzevari UniversitySabzevarIran Department of Electrical and Computer Engineering University of BirjandBirjandIran State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalian116024China Department of Marine Engineering Amirkabir University of TechnologyTehranIran

This paper develops a numerical code for modelling liquid *** coupled boundary element-finite element method was used to solve the Laplace equation for inviscid fluid and nonlinear free surface boundary *** Nakayama and Washizu’s results,the code performance was *** the developed numerical mode,we proposed artificial neural network(ANN)and genetic algorithm(GA)methods for evaluating sloshing loads and comparing *** compare the efficiency of the suggested methods,the maximum free surface displacement and the maximum horizontal force exerted on a rectangular tank’s perimeter are *** can be seen from the results that both ANNs and GAs can accurately predict η_(max) and F_(max).

关键词： Sloshing loads Fluid structure interactions Potential flow analysis Artificial neural network Genetic algorithm

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Ranking of design scenarios of TMD for seismically excited structures using TOPSIS

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Frontiers of Structural and Civil Engineering 2020年第6期14卷 1372-1386页

作者： Sadegh ETEDALI Department of Civil Engineering Birjand University of TechnologyBirjand 97175-569Iran

In this paper,desigh scenarios of a tuned mass damper(TMD)for seismically excited structures are ***,10 design scenarios in two cases,namely unconstrained and constrained for the maximum TMD,are considered in this study.A free search of the TMD parameters is performed using a particle swarm optimization(PSO)algorithm for optimum tuning of TMD ***,nine criteria are adopted with respect to functional,operational,and economic views.A technique for order performance by similarity to ideal solution(TOPSIS)is utilized for ranking the adopted design scenarios of *** studies are conducted on a 10-story building equipped with *** results indicate that the minimization of the maximum story displacement is the optimum design scenario of TMD for the seismic-excited structure in the unconstrained case for the maximum TMD ***,H2 of the displacement vector of the structure exhibited optimum ranking among the adopted design scenarios in the constrained case for the maximum TMD *** findings of this study can be useful and important in the optimum design of TMD parameters with respect to functional,operational,and economic perspectives.

关键词： seismic-excited building TMD optimum design PSO design scenario TOPSIS

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Effect of graphene oxide and reduced graphene oxide nanosheets on the microstructure and mechanical properties of mild steel jointing by flux-cored arc welding

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International Journal of Minerals,Metallurgy and Materials 2020年第4期27卷 505-514页

作者： Mohammad Khosravi Mohammad Mansouri Ali Gholami Yadollah Yaghoubinezhad Department of Mechanical Engineering Birjand University of Technology BirjandP.O.Box 97175-569235Iran Department of Materials Engineering Birjand University of Technology BirjandP.O.Box 97175-569315Iran

The effect of graphene oxide(GO)and reduced graphene oxide(RGO)nanosheets on the microstructure and mechanical properties of welded joints of mild steel was evaluated by flux-cored arc *** was synthesized by the Hummer’s method and was reduced under hydrothermal conditions at a pressure of 1.1 MPa at 180°C for 12 h.1,3,and 10 mg/mL paste fillers were used in GO and RGO,and applied to the weld *** results clearly showed that by increasing the concentration of RGO up to 10 mg/mL,the tensile strength and hardness of the weld metal were improved by approximately 20.5%and 38.4%,respectively,because the coarse grains were changed into fine *** domain of the nanosheets cluster was 19.85×10^?9 ***,the RGO nanosheets contributed to modifying the mechanical properties of the welded steel,likely due to dislocation pinning.

关键词： graphene oxide reduced graphene oxide flux-cored arc welding steel mechanical properties

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New empirical model to evaluate groundwater flow into circular tunnel using multiple regression analysis

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International Journal of Mining Science and technology 2017年第3期27卷 415-421页

作者： Farhadian Hadi Katibeh Homayoon Departmen of Mining Engineering Faculty of Engineering University of Birjand Birjand Iran Department of Mining and Metallurgical Engineering Amirkabir University of Technology (Tehran Polytechnic) Tehran Iran

There are various analytical, empirical and numerical methods to calculate groundwater inflow into tun- nels excavated in rocky media. Analytical methods have been widely applied in prediction of groundwa- ter inflow to tunnels due to their simplicity and practical base theory. Investigations show that the real amount of water infiltrating into jointed tunnels is much less than calculated amount using analytical methods and obtained results are very dependent on tunnel＇s geometry and environmental situations. In this study, using multiple regression analysis, a new empirical model for estimation of groundwater seepage into circular tunnels was introduced. Our data was acquired from field surveys and laboratory analysis of core samples. New regression variables were defined after perusing single and two variables relationship between groundwater seepage and other variables. Finally, an appropriate model for estima- tion of leakage was obtained using the stepwise algorithm. Statistics like R, R2, R2e and the histogram of residual values in the model represent a good reputation and fitness for this model to estimate the groundwater seepage into tunnels. The new experimental model was used for the test data and results were satisfactory. Therefore, multiple regression analysis is an effective and efficient way to estimate the groundwater seeoage into tunnels.

关键词： Groundwater inflow Analytical equation Multiple regression analysis Stepwise algorithm Tunnel

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New Identities for Moore-Penrose Inverses of Some Operator Products and Their Reverse-order Laws

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Acta Mathematica Sinica,English Series 2023年第12期39卷 2414-2426页

作者： Mehdi MOHAMMADZADEH KARIZAKI Javad FAROKHI-OSTAD Department of Computer Engineering University of Torbat HeydariehTorbat Heydarieh***Iran Department of Basic Sciences Birjand University of TechnologyBirjand***Iran

We establish new identities for Moore-Penrose inverses of some operator products,and prove their associated reverse-order ***,our results concerning the Moore-Penrose inverse of a product of two operators lead in find... 详细信息

关键词： Moore-Penrose Inverse Reverse-order Law

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A new empirical chart for rockburst analysis in tunnelling:Tunnel rockburst classification(TRC)

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International Journal of Mining Science and technology 2021年第4期31卷 603-610页

作者： Hadi Farhadian Department of Mining Engineering Faculty of EngineeringUniversity of BirjandBirjandIran

Rockburst is defined as a phenomenon with immediate dynamic instability under excavation unloading conditions of deep or high geostress *** knowledge and lack of characterizing information prevent engineers and experts from achieving appropriate prediction results related to the rockburst *** this study,a data set including 220 rockburst instances was collected for rockburst classification via the geostatistical *** update of the 2D graph,the tunnel rockburst classification(TRC)chart,was introduced based on analysing three indicators,namely,elastic energy index(Wet),tangential stress in rock mass(σ_(0)),and uniaxial compressive strength(σ_(c)).Distribution and correlation of data were drawn on 2D plot,and the boundaries of rockburst were distinguished according to the achieved interpolate points by kriging ***,the validation phase was performed using an additional set of 28 case histories obtained from several projects around the *** results showed that the TRC chart with an average error percentage of 3.6%in the prediction of rockburst had a significant and effective implementation in comparison to the exiting heuristic *** the initial character of the prediction,the described chart may be a helpful tool in the first steps of design and construction.

关键词： Prediction Tunnel rockburst Classification Empirical approach TRC

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Optimal seismic design of reinforced concrete structures under timehistory earthquake loads using an intelligent hybrid algorithm

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Earthquake Engineering and Engineering Vibration 2015年第1期14卷 97-109页

作者： Sadjad Gharehbaghi Mohsen Khatibinia Department of Civil Engineering Behbahan Khatam Alanbia University of Technology Department of Civil Engineering University of Birjand

A reliable seismic-resistant design of structures is achieved in accordance with the seismic design codes by designing structures under seven or more pairs of earthquake records. Based on the recommendations of seismic design codes, the average time-history responses （ATHR） of structure is required. This paper focuses on the optimal seismic design of reinforced concrete （RC） structures against ten earthquake records using a hybrid of particle swarm optimization algorithm and an intelligent regression model （IRM）. In order to reduce the computational time of optimization procedure due to the computational efforts of time-history analyses, IRM is proposed to accurately predict ATHR of structures. The proposed IRM consists of the combination of the subtractive algorithm （SA）, K-means clustering approach and wavelet weighted least squares support vector machine （WWLS-SVM）. To predict ATHR of structures, first, the input-output samples of structures are classified by SA and K-means clustering approach. Then, WWLS-SVM is trained with few samples and high accuracy for each cluster. 9- and 18-storey RC frames are designed optimally to illustrate the effectiveness and practicality of the proposed IRM. The numerical results demonstrate the efficiency and computational advantages of IRM for optimal design of structures subjected to time-history earthquake loads.

关键词： optimal seismic design reinforced concrete frames earthquake loads particle swarm optimization intelligent regression model support vector machine

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A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD

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Frontiers of Structural and Civil Engineering 2018年第1期12卷 44-57页

作者： Amir Hossein HEIDARI Sadegh ETEDALI Mohamad Reza JAVAHERI-TAFTI Department of Civil Engineering Taft Branch Islamic Azad University Taft Iran Department of Civil Engineering Birjand University of Technology P.O. Box 97175-569 Birjand Iran

This paper presents an efficient hybrid control approach through combining the idea of proportional- integral-derivative （PID） controller and linear quadratic regulator （LQR） control algorithm. The proposed LQR-PID controller, while having the advantage of the classical PID controller, is easy to implement in seismic-excited structures. Using an optimization procedure based on a cuckoo search （CS） algorithm, the LQR-PID controller is designed for a seismic- excited structure equipped with an active tuned mass damper （ATMD）. Considering four earthquakes, the performance of the proposed LQR-PID controller is evaluated. Then, the results are compared with those given by a LQR controller. The simulation results indicate that the LQR-PID performs better than the LQR controller in reduction of seismic responses of the structure in the terms of displacement and acceleration of stories of the structure.

关键词： eismic control tuned mass dampers cuckoo search PID controller LQR controller

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