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International Journal of Modern Physics
World Scientific Publishing
International Journal of Modern Physics

World Scientific Publishing

0129-1831

International Journal of Modern Physics/Journal International Journal of Modern Physics
正式出版
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    Cascade events in geographical space

    Ordonez, Dylan Marcus T.Batac, Rene C.
    13页
    查看更多>>摘要：In this paper, we present a simple discrete model of cascade behavior in an actual geographical space with built environments. By simultaneously triggering and relaxing random locations in a network of Voronoi cells interacting via the gravity model, we observe nontrivial statistics with heavy-tailed distributions of cells and actual area extents involved in the cascade. The distributions of these affected areas follow unimodal statistics, unlike the other externally-driven models operating over uniform neighborhoods that exhibit power-laws. Majority of the cascades are limited within the immediate neighborhoods of adjacent Voronoi cells, even for sufficiently large triggering magnitudes. The results are viewed from the perspective of inhomogeneous driving in sandpile-based models, and benchmarked with distributions obtained in other geographic datasets. The method offers a complexity perspective into the generation of large-scale events in physical and intangible flows, and explains their origins from cascaded accumulations of slow, random, and intermittent processes.
      原文链接:
    • NSTL
    • World Scientific

    Two Fibonacci operational matrix pseudo-spectral schemes for nonlinear fractional Klein-Gordon equation

    Youssri, Y. H.
    19页
    查看更多>>摘要：This paper is devoted to developing spectral solutions for the nonlinear fractional Klein-Gordon equation. The typical collocation method and the tau method are employed for obtaining the desired numerical solutions. In order to do this, a new operational matrix of fractional derivatives of Fibonacci polynomials is established. The idea behind the derivation of this matrix is based on utilizing the connection formula between the Fibonacci and Chebyshev polynomials. The introduced operational matrix is used along with the weighted residual quadrature spectral method and the collocation method to convert the nonlinear fractional Klein-Gordon equation into a system of algebraic equations. By solving the resulting system, we obtain a semi-analytic solution. The convergence and error analysis of the method are discussed. Some numerical results and discussions are presented aiming to illustrate the wide applicability and accuracy of the proposed algorithms.
      原文链接:
    • NSTL
    • World Scientific

    The influence of temperature on physical properties of a hybrid nanofluid flow in a non-Darcy porous medium

    Elgazery, Nasser S.Mady, Amal A.
    24页
    查看更多>>摘要：The purpose of this paper is to debate the influences of variable thermal conductivity as well as viscosity on a hybrid nanofluid flow through a non-Darcy porous medium along a wavy surface. Two kinds of base fluids are considered; the first is water (H2O) with Pr = 6.785 and the second is ethylene glycol-water mixture (C2H6O2-H2O) with Pr = 7.33. Furthermore, the physical properties of the base fluid have been modified via the addition of two kinds of suspended nanoparticles. The suspended nanoparticles of alumina Al2O3 were firstly added to the base fluid. Then, titania TiO2 suspended nanoparticles are immersed into this nanofluid to form two hybrid nanofluids (TiO2-Al2O3/H2O) and (TiO2-Al2O3/C2H6O2-H2O). Dupuit Forchheimer model as a non-Darcy porous medium is utilized. The mathematical model for the present physical problem with convective boundary condition is studied numerically via the Chebyshev pseudospectral (CPS) technique. Nusselt number, velocity and temperature profiles are investigated under different parameters. The present outcomes clarify that adding the alumina nanoparticle supports and improves the efficiency of the titania nanoparticle. Also, taking both of the hybrid nanofluid viscosity/thermal conductivity as variable functions of temperature has an important role to support the studies of heat transfer.
      原文链接:
    • NSTL
    • World Scientific

    Quantum-inspired meta-heuristic algorithms with deep learning for facial expression recognition under varying yaw angles

    Bhatt, AbhishekAlam, TanweerRane, Kantilal PitambarNandal, Rainu...
    24页
    查看更多>>摘要：In recent years, the increasing human-computer interaction has spurred the interest of researchers towards facial expression recognition to determine the expressive changes in human beings. The detection of relevant features that describe the expressions of different individuals is vital to describe human expressions accurately. The present work has employed the integrated concept of Local Binary Pattern and Histogram of Gradient for facial feature extraction. The major contribution of the paper is the optimization of the extracted features using quantum-inspired meta-heuristic algorithms of QGA (Quantum-Inspired Genetic Algorithm), QGSA (Quantum-Inspired Gravitational Search Algorithm), QPSO (Quantum-Inspired Particle Swarm Optimization), and QFA (Quantum-Inspired Firefly Algorithm). These quantum-inspired meta-heuristic algorithms utilize the attributes of quantum computing that ensure the adequate control of facial feature diversity with quantum measures and Q-bit superstition states. The optimized features are fed to the deep learning (DL) variant deep convolutional neural network added with residual blocks (DCNN-R) for the classification of expressions. The facial expressions are detected for the KDEF and RaFD datasets under varying yaw angles of -90(circle), -45(circle), 0(circle), 45(circle), and 90(circle). The detection of facial expressions with varying angles is also a crucial contribution, as the features decrease with the increasing yaw angle movement of the face. The experimental evaluations demonstrate the superior performance of the QFA than other algorithms for feature optimization and hence the better classification of facial expressions.
      原文链接:
    • NSTL
    • World Scientific

    Hybrid big bang-big crunch with ant colony optimization for email spam detection

    Natarajan, RathikaMehbodniya, AbolfazlGanapathy, MurugesanPahuja, Swimpy...
    21页
    查看更多>>摘要：Electronic mails (emails) have been widely adapted by organizations and individuals as efficient communication means. Despite the pervasiveness of alternate means like social networks, mobile SMS, electronic messages, etc. email users are continuously growing. The higher user growth attracts more spammers who send unsolicited emails to anonymous users. These spam emails may contain malware, misleading information, phishing links, etc. that can imperil the privacy of benign users. The paper proposes a self-adaptive hybrid algorithm of big bang-big crunch (BB-BC) with ant colony optimization (ACO) for email spam detection. The BB-BC algorithm is based on the physics-inspired evolution theory of the universe, and the collective interaction behavior of ants is the inspiration for the ACO algorithm. Here, the ant miner plus (AMP) variant of the ACO algorithm is adapted, a data mining variant efficient for the classification. The proposed hybrid algorithm ((HBC)-C-3-AMP) adapts the attributes of (BC)-C-3 (BB-BC) for local exploitation and AMP for global exploration. It evaluates the center of mass along with the consideration of pheromone value evaluated by the best ants to detect email spam efficiently. The experiments for the proposed (HBC)-C-3-AMP algorithm are conducted with the Ling Spam and CSDMC2010 datasets. Different experiments are conducted to determine the significance of the pre-processing modules, iterations, and population size on the proposed algorithm. The results are also evaluated for the AM (ant miner), AM2 (ant miner2), AM3 (ant miner3), and AMP algorithms. The performance comparison demonstrates that the proposed (HBC)-C-3-AMP algorithm is superior to the other techniques.
      原文链接:
    • NSTL
    • World Scientific

    Traffic dynamics on homogeneous networks with community structure

    Ma, JinlongAn, ZishuoZhou, YiZhang, Yi...
    13页
    查看更多>>摘要：In complex networks, how topology structures influence the traffic dynamics on networks is a hot topic. The existence of structure within communities may affect the transmission of data packets in the network. In this paper, we investigate the impact of community structure on traffic dynamics in random networks which are homogeneous. It is found that three key factors influence traffic capacity in such community networks: community number, community strength, and average node degree. The increase of average node degree increases traffic capacity, while the increase of community number and community strength decreases traffic capacity.
      原文链接:
    • NSTL
    • World Scientific

    Susceptible-Infectious-Critical-Recovered rumor spreading model in social networks

    Wang, HongmeiQiu, LiqingTan, KunCui, Junwei...
    15页
    查看更多>>摘要：As an important area of social networks, rumor spread has attracted the attention of many scholars. It aims to explore the rumor propagation, and to propose effective measures to curb the further spread of rumors. Different from some existing works, this paper believes that susceptible persons affected by rumor-refuting information will first enter the critical state, while ones who related to rumors will directly turn into the spread state. Therefore, this paper proposes a Susceptible-Infectious-Critical-Recovered (SICR) rumor model. In addition, considering that infectious persons with high levels of refuting rumors may cause emotional resonance among individuals, this model adds a connecting edge from the recovered to the infectious who are triggered by the information of refuting the rumors. First, the basic regeneration number R(0) is obtained by using the next generation matrix method. Then, the global stability of the rumor-free equilibrium E(0) and the persistence of rumor propagation are proved in detail in theoretical analysis. The simulation results show that the existence of a critical state can reduce the influence of rumors. Rumor refutation mechanism, as soon as possible to curb the spread of rumors, is an effective measure.
      原文链接:
    • NSTL
    • World Scientific

    Consensus for networked Euler-Lagrange agents with partial velocity measurements missing

    Cheng, ShanHuo, Lujing
    11页
    查看更多>>摘要：This brief paper studies the consensus problems for networked Euler-Lagrange (EL) agents in which only partial EL agents' velocity measurements are available. Based on partial EL agents' velocity measurements, the consensus protocols which indicate the communication structure among EL agents are derived in detail. Furthermore, the networked EL agents can achieve consensus with derived protocols. The obtained results show that the consensus protocol can always be designed under the condition that at least one EL agent can measure velocity measurements for any networked EL agents. Finally, numerical simulations are given to illustrate the effectiveness of the proposed protocols.
      原文链接:
    • NSTL
    • World Scientific

    Persuasion process on social networks

    Hu, HaiboXu, Nannan
    13页
    查看更多>>摘要：From the Rwandan genocide to the Arab Spring movement, it has been well known that social networks, offline or online, and mass media can collectively change and amplify public opinions, however there are few theoretical models to characterize the persuasion process. In this paper, we propose an opinion dynamics model based on invasion process with media effect and committed agents, and analytically obtain the fraction of each opinion at the steady state. We find that the relative proportion of committed agents plays a vital role in influencing corresponding opinion formation, and social networks can enhance the influence of committed agents through the interaction between individuals. Mass media can affect individuals not only directly due to exposure but indirectly due to social interactions. This paper reveals the influence of mass media and committed agents on the final distribution of opinions through a persuasion process, and lays the foundation for building more general models that consider individual heterogeneity and external influences.
      原文链接:
    • NSTL
    • World Scientific

    Development of novel kinetic energy functional for orbital-free density functional theory applications

    Urso, Vittoria
    14页
    查看更多>>摘要：The development of novel Kinetic Energy (KE) functionals is an important topic in density functional theory (DFT). In particular, this happens by means of an analysis with newly developed benchmark sets. Here, I present a study of Laplacian-level kinetic energy functionals applied to metallic nanosystems. The nanoparticles are modeled using jellium sph eres of different sizes, background densities, and number of electrons. The ability of different functionals to reproduce the correct kinetic energy density and potential of various nanoparticles is investigated and analyzed in terms of semilocal descriptors. Most semilocal KE functionals are based on modifications of the second-order gradient expansion GE2 or GE4. I find that the Laplacian contribute is fundamental for the description of the energy and the potential of nanoparticles.
      原文链接:
    • NSTL
    • World Scientific