Home Physical Sciences Computational methods and traveling wave solutions for the fourth-order nonlinear Ablowitz-Kaup-Newell-Segur water wave dynamical equation via two methods and its applications
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Computational methods and traveling wave solutions for the fourth-order nonlinear Ablowitz-Kaup-Newell-Segur water wave dynamical equation via two methods and its applications

  • Asghar Ali , Aly R. Seadawy EMAIL logo and Dianchen Lu EMAIL logo
Published/Copyright: May 24, 2018

Abstract

The aim of this article is to construct some new traveling wave solutions and investigate localized structures for fourth-order nonlinear Ablowitz-Kaup-Newell-Segur (AKNS) water wave dynamical equation. The simple equation method (SEM) and the modified simple equation method (MSEM) are applied in this paper to construct the analytical traveling wave solutions of AKNS equation. The different waves solutions are derived by assigning special values to the parameters. The obtained results have their importance in the field of physics and other areas of applied sciences. All the solutions are also graphically represented. The constructed results are often helpful for studying several new localized structures and the waves interaction in the high-dimensional models.

1 Introduction

Several dynamical nonlinear problems in the field of applied physics and other areas of natural science are generally characterized by nonlinear evolution of partial differential equations (PDEs) well-known as governing equations [1, 2, 3, 4, 5, 6]. Such nonlinear PDEs play a vital role in physical science to understand the nonlinear complex physical phenomena. The analytical solutions of nonlinear PDEs have their own importance in the various branches of mathematical physical sciences, applied sciences and other areas of engineering to understand their physical interpretation. Therefore, the search for an exact solution of nonlinear systems has been an interesting and important topic for mathematicians and physicists in nonlinear science. Many powerful and systemic methods have been developed to construct the solutions of nonlinear PDEs such as, Hirota bilinear method, tanh-coth method, Exp-function method, multi linear variable separation approach method, modified extended direct algebraic method, simple equation method, modified simple equation method, variable coefficients method, extended auxiliary equation method [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19].

In PDEs, the AKNS equations are very important and have many applications in the field of physics and other nonlinear sciences. These equations are reduced the some nonlinear evolution equations such as sine-Gordon equations, the nonlinear Schrödinger equation, KdV equation etc. Different methods have been used to acquire explicit solutions of the AKNS equations, inverse scattering transformation, the Bäcklund transformation, the Darboux transformation [19, 20, 21, 22, 23, 24, 25, 26, 27, 28].

In the current work, we consider the well known fourth-Order nonlinear AKNS water wave equation [19] with a perturbation parameter β in the form of

4vxt+vxxxt+8vxvxy+4vxxvyβvxx=0.(1)

we have employed proposed simple equation method and modified simple equation method on equation (1) to obtain new exact solitary wave solutions with different parameters. To the best of our knowledge, no work has been done in previous study by employing the current proposed methods. The obtained solutions are useful in physical sciences and help to understand the physical phenomena.

The article is structured as follows. The main steps of the proposed methods are given in Section 2. In Section 3 we apply the proposed methods to Eq. (1) for constructing solitary wave solution. Finally, the summary of this work is given in Section 4.

2 Discription of proposed methods

2.1 Simple equation method

In this section, simple equation method (SEM) will be applied to obtain the solitary wave solutions for Ablowitz-Kaup-Newell-Segur water wave equation. Consider the nonlinear PDE in form

Fu,ux,uy,ut,uxx,uyy,utt,...=0,(2)

where F is called a polynomial function of u(x, y, t) and its partial derivatives in which the highest order derivatives and nonlinear terms are involved. The basic key steps of SEM are as follows:

  1. Consider traveling wave transformation

    u(x,y,t)=V(ξ),ξ=x+y+ωt,(3)

    by utilizing the above transformation, the Eq. (2) is reduced into ODE as:

    GV,V,V,V,...=0,(4)

    where G is a polynomial in V(ξ) its derivatives with respect to ξ.

  2. Let us assume that the solution of Eq. (4) has the form:

    V(ξ)=i=MMAiψi(ξ),(5)

    where Ai (i = -M, -M+1,…,-1,0,1,…, M) is arbitrary constants which can be determined latter and M is a positive integer, which can be calculated by homogeneous balance principle on Eq. (4).

    Let ψ satisfies the following equation:

    ψ(ξ)=b0+b1ψ+b2ψ2+b3ψ3,(6)

    where b0, b1, b2, b3, are arbitrary constants.

  3. Substituting Eq. (5) along with Eq. (6) into Eq. (4), and collecting the coefficients of (ψ)j, then setting coefficients equal to zero, we obtained a system of algebraic equations in parameters b0, b1, b2, b3, ω and Ai. The system of algebraic equations is solved with the help of Mathematica and we get the values of these parameters.

  4. By substituting all these values of parameters and ψ into Eq. (5), we obtained the required solutions of Eq. (2).

2.2 Modified simple equation method

In this section, we describe the algorithm of modified simple equation method (MSEM) to obtain the solitary wave solutions of nonlinear evolution equations. Consider the nonlinear evolution equation in the form

Gu,ux,uy,ut,uxx,uyy,utt,...=0,(7)

where G is a polynomial function of u(x, t) and its partial derivatives in which the highest order derivatives and nonlinear terms are involved. The basics keysteps are:

  1. Consider travelling wave transformation

    u(x,y,t)=U(ξ),ξ=x+y+ωt,(8)

    By utilizing the above transformation into Eq. (7), the Eq. (7) is reduced into ODE as

    HU,U,U,U,...=0,(9)

    where H is a polynomial in U(ξ) its derivatives with respect to ξ.

  2. Let us assume that the solution of Eq. (9) has the form:

    U(ξ)=M=0NBMΨ(ξ)Ψ(ξ)M,(10)

    where BM are arbitrary constants to be determined, such that BN ≠ 0 and Ψ(ξ) is to be determined.

  3. The postive integer N can be determined by applying the homogeneous balance technique between the highest order derivatives and nonlinear terms as in Eq. (7).

  4. We calculate all the required derivatives of U′, U″, U′″… and substitute into Eq. (10) and (9). We obtain a polynomial of Ψj(ξ) with the derivatives of Ψ(ξ). We equate all the coefficients of Ψj(ξ) to zero, where j ≥ 0. This procedure yields a system of equations which can be solved to find BM, Ψ(ξ) and Ψ (ξ).

  5. We substitute the values of BM, Ψ(ξ) and Ψ (ξ) into Eq. (10) and (8) to complete the determination of exact solution of Eq. (1).

3 Applications of descriptions method on AKNS

3.1 Applications of SEM

In this section we apply the method which is described in Section 2.1 on Eq. (1). Consider the traveling waves transformation

v(x,y,t)=V(ξ),ξ=x+y+kt,(11)

where k is arbitrary constant, which can be determined later. By using the above transformation to the Eq. (1) into the following ordinary differential equation and integrated

(4kβ)V+6V2+kV=0.(12)

Now applying the homogeneous balance principle between (V′)2 and V′″ in Eq. (12), we get M = 2. We suppose the solution of Eq. (12) has the form:

V(ξ)=A2ψ2+A1ψ1+A0+A1ψ+A2ψ2.(13)

Substituting Eq. (13) along Eq. (6) into Eq. (12), we get system of algebraic equation in parameters b0, b1, b2, b3, β, k, A0, A–1, A–2, A1, A2. The system of algebraic equations can be solved for these parameters, we have following solutions cases.

  1. b3 = 0,

    Family-I

    k=βb124b0b2+4,A1=βb0b124b0b2+4,A2=0,A1=0,A2=0.(14)

    Substituting Eq. (14) into Eq. (6), then the solution of Eq. (1) becomes:

    v1(x,y,t)2b2b0β(b124b0b2+4)(b14b0b2b12tan(4b0b2b122(ξ+ξ0)))+A0,4b0b2>b12,(15)

    where ξ=x+y+βb124b0b2+4t.

    Family-II

    k=βb124b0b2+4,A1=βb2b12+4b0b24,A1=0,A2=0,A2=0.(16)

    Substituting Eq. (16) into Eq. (6), then the solution of Eq. (1) becomes:

    v2(x,y,t)=A0+β(b14b0b2b12tan(4b0b2b122(ξ+ξ0)))(2b128b0b2+8),4b0b2>b12,(17)

    where ξ=x+y+βb124b0b2+4t.

    Figure 1 Exact solitary wave solutions of Eq. (15) and Eq. (17) are plotted by choosing the values of parameters A0 = 1.5, b1 = 0.5, β = 1, ξ0 = 1: (a) periodic solitary wave of v1 at b2 = 1, b0 = 1 and (b) periodic solitary of v2 at b2 = –2, b0 = –1
    Figure 1

    Exact solitary wave solutions of Eq. (15) and Eq. (17) are plotted by choosing the values of parameters A0 = 1.5, b1 = 0.5, β = 1, ξ0 = 1: (a) periodic solitary wave of v1 at b2 = 1, b0 = 1 and (b) periodic solitary of v2 at b2 = –2, b0 = –1

  2. b0 = b3 = 0,

    k=βb12+4,A1=βb2b12+4,A1=0,A2=0,A2=0.(18)

    Substituting Eq. (18) into Eq. (6) the solution of Eq. (1) becomes:

    v31(x,y,t)=A0+βb2b1eb1(ξ+ξ0)(b12+4)(1b2eb1(ξ+ξ0)),b1>0;(19)
    v32(x,y,t)=A0+βb2b1eb1(ξ+ξ0)(b12+4)(1+b2eb1(ξ+ξ0)),b1<0;(20)

    where ξ=x+y+βb12+4t.

    Figure 2 Exact solitary wave solutions of Eq. (19) and Eq. (20) are plotted by choosing the values of parameters as: A0 = 0.5, b2 = 0.5, β = –0.5, ξ0 = –0.5: (a) solitary wave of v31 at b1 = 0.5 and (b) solitary wave of v32 at b1 = –0.5
    Figure 2

    Exact solitary wave solutions of Eq. (19) and Eq. (20) are plotted by choosing the values of parameters as: A0 = 0.5, b2 = 0.5, β = –0.5, ξ0 = –0.5: (a) solitary wave of v31 at b1 = 0.5 and (b) solitary wave of v32 at b1 = –0.5

  3. b1 = b3 = 0,

    Family-I

    k=β4b0b21,A1=0,A1=βb04b0b21,A2=0,A2=0.(21)

    Substituting Eq. (21) into Eq. (6) the solution of Eq. (1) becomes:

    v41(x,y,t)=b2b0β(4b0b2+4)b0b2tan(b0b2(ξ+ξ0)+A0,b0b2>0;(22)
    v42(x,y,t)=b2b0β(4b0b24)b0b2tanh(b0b2(ξ+ξ0)+A0,b0b2<0;(23)

    where ξ=x+yβ4b0b21t.

    Figure 3 Exact solitary wave solutions of Eq. (22) and Eq. (23) are plotted by choosing these values of parameters at: A0 = –1.5, β = 1, ξ0 = 1: (a) periodic solitary wave of v41 at b0 = –0.5, b2 = –1 and (b) solitary wave of v42 at b0 = –0.5, b2 = 1
    Figure 3

    Exact solitary wave solutions of Eq. (22) and Eq. (23) are plotted by choosing these values of parameters at: A0 = –1.5, β = 1, ξ0 = 1: (a) periodic solitary wave of v41 at b0 = –0.5, b2 = –1 and (b) solitary wave of v42 at b0 = –0.5, b2 = 1

    Family-II

    k=β4b0b21,A1=βb24b0b21,A1=0,A2=0,A2=0.(24)

    Substituting Eq. (24) into Eq. (6) the solution of Eq. (1) becomes:

    v51(x,y,t)=A0+βb0b2tan(b0b2(ξ+ξ0))4b0b21,b0b2>0;(25)
    V52(x,y,t)=A0+βb0b2tanh(b0b2(ξ+ξ0))4b0b2+4,b0b2<0;(26)

    where ξ=x+yβ4b0b21t.

    Figure 4 Exact solutions of Eq. (25) and Eq. (26) are plotted at A0 = 1.5, β = –0.75, ξ0 = 1: (a) periodic solitary wave of v51 at b0 = 0.75, b2 = 0.5 and (b) solitary wave of v52 at b0 = 0.75, b2 = –0.5
    Figure 4

    Exact solutions of Eq. (25) and Eq. (26) are plotted at A0 = 1.5, β = –0.75, ξ0 = 1: (a) periodic solitary wave of v51 at b0 = 0.75, b2 = 0.5 and (b) solitary wave of v52 at b0 = 0.75, b2 = –0.5

    Family-III

    k=β44b0b21,A1=βb244b0b21,A1=βb044b0b21,A2=0,A2=0.(27)

    Substituting Eq. (27) into Eq. (6) the solution of Eq. (1) becomes:

    v61(x,y,t)=b2b0β(16b0b2+4)b0b2tan(b0b2(ξ+ξ0)+A0+βb0b2tan(b0b2(ξ+ξ0))44b0b21,b0b2>0;(28)
    v62(x,y,t)=b2b0β(16b0b24)b0b2tanh(b0b2(ξ+ξ0)+A0+βb0b2tanh(b0b2(ξ+ξ0))16b0b2+4,b0b2<0;(29)

    where ξ=x+yβ4b0b21t.

    Figure 5 Exact solutions of Eq. (28) and Eq. (29) are plotted at A0 = 1, β = 2, ξ0 = –0.5: (a) periodic solitary wave of v61 at b0 = 1, b2 = 0.5 and (b) solitary wave of v62 at b0 = –1, b2 = 0.5
    Figure 5

    Exact solutions of Eq. (28) and Eq. (29) are plotted at A0 = 1, β = 2, ξ0 = –0.5: (a) periodic solitary wave of v61 at b0 = 1, b2 = 0.5 and (b) solitary wave of v62 at b0 = –1, b2 = 0.5

  4. b0 = b2 = 0,

    k=β4+4b12,A2=βb32+2b12,A1=0,A2=0,A1=0.(30)

    where ξ=x+yβ4+4b12t. Substituting Eq. (30) into Eq. (6) the solution of Eq. (1) becomes:

    v71(x,y,t)=b1b3β(2+2b12)(e2(ξ+ξ0)b1+b3)+A0,b1<0,(31)
    v72(x,y,t)=βb3b1e2(ξ+ξ0)b1(2+2b12)1e2(ξ+ξ0)b1b3+A0,b1>0.(32)

    where ξ=x+y+β4+4b12t.

    Figure 6 Exact solutions of Eq. (31) and Eq. (32) are plotted at A0 = 0.5, β = 3, ξ0 = –0.5, b1 = –0.5, b3 = –0.5 at (a) and  A0 = –0.5, β = 3, ξ0 = –0.5, b1 = 1, b3 = –1 at (b), respectively are  solitary waves of v71 and v72
    Figure 6

    Exact solutions of Eq. (31) and Eq. (32) are plotted at A0 = 0.5, β = 3, ξ0 = –0.5, b1 = –0.5, b3 = –0.5 at (a) and A0 = –0.5, β = 3, ξ0 = –0.5, b1 = 1, b3 = –1 at (b), respectively are solitary waves of v71 and v72

3.2 Application of MSEM

In this section we apply method which is described in Section 2.2, on Eq. (1). Consider the traveling waves transformation

v(x,y,t)=U(ξ),ξ=x+y+ωt,(33)

where ω is arbitrary constant which can be determined later. By using the above transformation to the Eq. (1) into the following ordinary differential equation and integrated we have

(4ωβ)U+6U2+ωU=0.(34)

Now applying the homogeneous balance principle between (U′)2 and U′″ in Eq. (34), we get N = 1. We suppose the solution of Eq. (34) has the form as:

U=B0+B1Ψ(ξ)Ψ(ξ).(35)

Where B0, B1 are constant such that B1 ≠ 0, substituting Eq. (35) into Eq. (34) and equating the coefficients of Ψ–4, Ψ–3, Ψ–2, Ψ–1 we get the following equations:

(ω+B1)B1(Ψ)4=0,(36)
(ωB1)B1(Ψ)2Ψ=0,(37)
(βB14ωB1)(Ψ)2+(6B123ωB1)(Ψ)24ωB1ΨΨ=0,(38)
(βB1+4ωB1)Ψ+ωB1Ψ(4)=0.(39)

From Eq. (36) and Eq. (37) we obtain, B1 = ω, Now integrating Eq. (39) and substituting into Eq. (38), we get:

ΨΨ=μ,whereμ=±3β16ω3ω,(40)

consequently, we obtain

Ψ(ξ)=c1eμξ,(41)
Ψ=c2+c1μc1eμξ,(42)

where c1 and c2 are constant of integration. Now substituting the values of B1, Ψ and Ψ′ into Eq. (35), we get the exact solution of Eq. (1), as follows

v(x,y,t)=B0+ωμc1eμξμc2+c1eμξ,(43)

where ξ = x + y + ωt.

Figure 7 Exact solitary wave solution of Eq. (43) is plotted in different shapes at :B0 = 1, β = 2, c1 = 0.5, c2 = –0.5, ω = 0.25:(a) solitary wave and (b) one dimensional solitary wave
Figure 7

Exact solitary wave solution of Eq. (43) is plotted in different shapes at :B0 = 1, β = 2, c1 = 0.5, c2 = –0.5, ω = 0.25:(a) solitary wave and (b) one dimensional solitary wave

Simplifying Eq. (43), we obtain

v(x,y,t)=B0+ωμc1coshμξ2+sinhμξ2(c1+μc2)coshμξ2+(c1c2μ)sinhμξ2,(44)

where ξ = x + y + ωt.

Similarly we can randomly choose parameter c1 and c2, by setting c1 = μc2, we obtain the following solitary solution

v(x,y,t)=B0+3βω16ω212tanh3β16ω12ωξ±1,(45)

where ξ = x + y + ωt.

Now again we choose c1 = –c2μ, we obtain following solitary waves solution.

v(x,y,t)=B0+3βω16ω212coth3β16ω12ωξ±1,(46)

where ξ = x + y + ωt and B0 is left as a free parameter.

Figure 8 Exact solitary wave solution of Eq. (46) is plotted in different shapes at :B0 = 1, β = 1,  ω = 0.5:(a) periodic solitary wave and (b) one-dimensional solitary wave
Figure 8

Exact solitary wave solution of Eq. (46) is plotted in different shapes at :B0 = 1, β = 1, ω = 0.5:(a) periodic solitary wave and (b) one-dimensional solitary wave

4 Conclusion

In the current paper, proposed methods such as simple equation method (SEM) and modified simple equation method (MSEM) have been successfully employed to obtain the exact solitary wave solutions for the fourth-order nonlinear ablowitz-Kaup-newell-segur water equation. The AKNS equations have a wide application in field of physical sciences and the obtained solitary wave solutions in different form help to understand the physical phenomenon in various aspects. All the solutions are also prescribed graphically by assigning special values to the parameters. Mathematica facilitate us to handle all the calculations. As the extensive applications of the solitary wave theory, it is valuable to study further the localized excitation and its applications in the future.

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Received: 2017-09-21
Accepted: 2017-12-27
Published Online: 2018-05-24

© 2018 A. Ali et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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  17. Numerical solution of mixed convection flow of an MHD Jeffery fluid over an exponentially stretching sheet in the presence of thermal radiation and chemical reaction
  18. A new three-dimensional chaotic flow with one stable equilibrium: dynamical properties and complexity analysis
  19. Dynamics of a dry-rebounding drop: observations, simulations, and modeling
  20. Modeling the initial mechanical response and yielding behavior of gelled crude oil
  21. Lie symmetry analysis and conservation laws for the time fractional simplified modified Kawahara equation
  22. Solitary wave solutions of two KdV-type equations
  23. Applying industrial tomography to control and optimization flow systems
  24. Reconstructing time series into a complex network to assess the evolution dynamics of the correlations among energy prices
  25. An optimal solution for software testing case generation based on particle swarm optimization
  26. Optimal system, nonlinear self-adjointness and conservation laws for generalized shallow water wave equation
  27. Alternative methods for solving nonlinear two-point boundary value problems
  28. Global model simulation of OH production in pulsed-DC atmospheric pressure helium-air plasma jets
  29. Experimental investigation on optical vortex tweezers for microbubble trapping
  30. Joint measurements of optical parameters by irradiance scintillation and angle-of-arrival fluctuations
  31. M-polynomials and topological indices of hex-derived networks
  32. Generalized convergence analysis of the fractional order systems
  33. Porous flow characteristics of solution-gas drive in tight oil reservoirs
  34. Complementary wave solutions for the long-short wave resonance model via the extended trial equation method and the generalized Kudryashov method
  35. A Note on Koide’s Doubly Special Parametrization of Quark Masses
  36. On right-angled spherical Artin monoid of type Dn
  37. Gas flow regimes judgement in nanoporous media by digital core analysis
  38. 4 + n-dimensional water and waves on four and eleven-dimensional manifolds
  39. Stabilization and Analytic Approximate Solutions of an Optimal Control Problem
  40. On the equations of electrodynamics in a flat or curved spacetime and a possible interaction energy
  41. New prediction method for transient productivity of fractured five-spot patterns in low permeability reservoirs at high water cut stages
  42. The collinear equilibrium points in the restricted three body problem with triaxial primaries
  43. Detection of the damage threshold of fused silica components and morphologies of repaired damage sites based on the beam deflection method
  44. On the bivariate spectral quasi-linearization method for solving the two-dimensional Bratu problem
  45. Ion acoustic quasi-soliton in an electron-positron-ion plasma with superthermal electrons and positrons
  46. Analysis of projectile motion in view of conformable derivative
  47. Computing multiple ABC index and multiple GA index of some grid graphs
  48. Terahertz pulse imaging: A novel denoising method by combing the ant colony algorithm with the compressive sensing
  49. Characteristics of microscopic pore-throat structure of tight oil reservoirs in Sichuan Basin measured by rate-controlled mercury injection
  50. An activity window model for social interaction structure on Twitter
  51. Transient thermal regime trough the constitutive matrix applied to asynchronous electrical machine using the cell method
  52. On the zagreb polynomials of benzenoid systems
  53. Integrability analysis of the partial differential equation describing the classical bond-pricing model of mathematical finance
  54. The Greek parameters of a continuous arithmetic Asian option pricing model via Laplace Adomian decomposition method
  55. Quantifying the global solar radiation received in Pietermaritzburg, KwaZulu-Natal to motivate the consumption of solar technologies
  56. Sturm-Liouville difference equations having Bessel and hydrogen atom potential type
  57. Study on the response characteristics of oil wells after deep profile control in low permeability fractured reservoirs
  58. Depiction and analysis of a modified theta shaped double negative metamaterial for satellite application
  59. An attempt to geometrize electromagnetism
  60. Structure of traveling wave solutions for some nonlinear models via modified mathematical method
  61. Thermo-convective instability in a rotating ferromagnetic fluid layer with temperature modulation
  62. Construction of new solitary wave solutions of generalized Zakharov-Kuznetsov-Benjamin-Bona-Mahony and simplified modified form of Camassa-Holm equations
  63. Effect of magnetic field and heat source on Upper-convected-maxwell fluid in a porous channel
  64. Physical cues of biomaterials guide stem cell fate of differentiation: The effect of elasticity of cell culture biomaterials
  65. Shooting method analysis in wire coating withdrawing from a bath of Oldroyd 8-constant fluid with temperature dependent viscosity
  66. Rank correlation between centrality metrics in complex networks: an empirical study
  67. Special Issue: The 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering
  68. Modeling of electric and heat processes in spot resistance welding of cross-wire steel bars
  69. Dynamic characteristics of triaxial active control magnetic bearing with asymmetric structure
  70. Design optimization of an axial-field eddy-current magnetic coupling based on magneto-thermal analytical model
  71. Thermal constitutive matrix applied to asynchronous electrical machine using the cell method
  72. Temperature distribution around thin electroconductive layers created on composite textile substrates
  73. Model of the multipolar engine with decreased cogging torque by asymmetrical distribution of the magnets
  74. Analysis of spatial thermal field in a magnetic bearing
  75. Use of the mathematical model of the ignition system to analyze the spark discharge, including the destruction of spark plug electrodes
  76. Assessment of short/long term electric field strength measurements for a pilot district
  77. Simulation study and experimental results for detection and classification of the transient capacitor inrush current using discrete wavelet transform and artificial intelligence
  78. Magnetic transmission gear finite element simulation with iron pole hysteresis
  79. Pulsed excitation terahertz tomography – multiparametric approach
  80. Low and high frequency model of three phase transformer by frequency response analysis measurement
  81. Multivariable polynomial fitting of controlled single-phase nonlinear load of input current total harmonic distortion
  82. Optimal design of a for middle-low-speed maglev trains
  83. Eddy current modeling in linear and nonlinear multifilamentary composite materials
  84. The visual attention saliency map for movie retrospection
  85. AC/DC current ratio in a current superimposition variable flux reluctance machine
  86. Influence of material uncertainties on the RLC parameters of wound inductors modeled using the finite element method
  87. Cogging force reduction in linear tubular flux switching permanent-magnet machines
  88. Modeling hysteresis curves of La(FeCoSi)13 compound near the transition point with the GRUCAD model
  89. Electro-magneto-hydrodynamic lubrication
  90. 3-D Electromagnetic field analysis of wireless power transfer system using K computer
  91. Simplified simulation technique of rotating, induction heated, calender rolls for study of temperature field control
  92. Design, fabrication and testing of electroadhesive interdigital electrodes
  93. A method to reduce partial discharges in motor windings fed by PWM inverter
  94. Reluctance network lumped mechanical & thermal models for the modeling and predesign of concentrated flux synchronous machine
  95. Special Issue Applications of Nonlinear Dynamics
  96. Study on dynamic characteristics of silo-stock-foundation interaction system under seismic load
  97. Microblog topic evolution computing based on LDA algorithm
  98. Modeling the creep damage effect on the creep crack growth behavior of rotor steel
  99. Neighborhood condition for all fractional (g, f, n′, m)-critical deleted graphs
  100. Chinese open information extraction based on DBMCSS in the field of national information resources
  101. 10.1515/phys-2018-0079
  102. CPW-fed circularly-polarized antenna array with high front-to-back ratio and low-profile
  103. Intelligent Monitoring Network Construction based on the utilization of the Internet of things (IoT) in the Metallurgical Coking Process
  104. Temperature detection technology of power equipment based on Fiber Bragg Grating
  105. Research on a rotational speed control strategy of the mandrel in a rotary steering system
  106. Dynamic load balancing algorithm for large data flow in distributed complex networks
  107. Super-structured photonic crystal fiber Bragg grating biosensor image model based on sparse matrix
  108. Fractal-based techniques for physiological time series: An updated approach
  109. Analysis of the Imaging Characteristics of the KB and KBA X-ray Microscopes at Non-coaxial Grazing Incidence
  110. Application of modified culture Kalman filter in bearing fault diagnosis
  111. Exact solutions and conservation laws for the modified equal width-Burgers equation
  112. On topological properties of block shift and hierarchical hypercube networks
  113. Elastic properties and plane acoustic velocity of cubic Sr2CaMoO6 and Sr2CaWO6 from first-principles calculations
  114. A note on the transmission feasibility problem in networks
  115. Ontology learning algorithm using weak functions
  116. Diagnosis of the power frequency vacuum arc shape based on 2D-PIV
  117. Parametric simulation analysis and reliability of escalator truss
  118. A new algorithm for real economy benefit evaluation based on big data analysis
  119. Synergy analysis of agricultural economic cycle fluctuation based on ant colony algorithm
  120. Multi-level encryption algorithm for user-related information across social networks
  121. Multi-target tracking algorithm in intelligent transportation based on wireless sensor network
  122. Fast recognition method of moving video images based on BP neural networks
  123. Compressed sensing image restoration algorithm based on improved SURF operator
  124. Design of load optimal control algorithm for smart grid based on demand response in different scenarios
  125. Face recognition method based on GA-BP neural network algorithm
  126. Optimal path selection algorithm for mobile beacons in sensor network under non-dense distribution
  127. Localization and recognition algorithm for fuzzy anomaly data in big data networks
  128. Urban road traffic flow control under incidental congestion as a function of accident duration
  129. Optimization design of reconfiguration algorithm for high voltage power distribution network based on ant colony algorithm
  130. Feasibility simulation of aseismic structure design for long-span bridges
  131. Construction of renewable energy supply chain model based on LCA
  132. The tribological properties study of carbon fabric/ epoxy composites reinforced by nano-TiO2 and MWNTs
  133. A text-Image feature mapping algorithm based on transfer learning
  134. Fast recognition algorithm for static traffic sign information
  135. Topical Issue: Clean Energy: Materials, Processes and Energy Generation
  136. An investigation of the melting process of RT-35 filled circular thermal energy storage system
  137. Numerical analysis on the dynamic response of a plate-and-frame membrane humidifier for PEMFC vehicles under various operating conditions
  138. Energy converting layers for thin-film flexible photovoltaic structures
  139. Effect of convection heat transfer on thermal energy storage unit
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