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Research article Special Issues

Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury


  • Received: 07 March 2021 Accepted: 22 April 2021 Published: 30 April 2021
  • Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient's body behavior feature based on convolution neural network, in order to reduce nursing workload and save hospital costs. The algorithm adopts double network model design, including the patient detection network model and the patient's body behavior feature extraction model. The algorithm is applied to the patient's body behavior detection system, so as to realize the recognition and monitoring of patients and improve the level of intelligent medical care for craniocerebral injury. Finally, the open source framework platform is used to test the patient behavior detection system. The experimental results show that the larger the test data set is, the higher the accuracy of patient body behavior feature extraction is. The average recognition rate of patient body behavior category is 97.8%, which verifies the effectiveness and correctness of the system. The application of convolution neural network connects image recognition with intelligent medical nursing, which provides reference and experience for intelligent medical nursing of patients with craniocerebral injury.

    Citation: Limei Bai. Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury[J]. Mathematical Biosciences and Engineering, 2021, 18(4): 3781-3789. doi: 10.3934/mbe.2021190

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  • Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient's body behavior feature based on convolution neural network, in order to reduce nursing workload and save hospital costs. The algorithm adopts double network model design, including the patient detection network model and the patient's body behavior feature extraction model. The algorithm is applied to the patient's body behavior detection system, so as to realize the recognition and monitoring of patients and improve the level of intelligent medical care for craniocerebral injury. Finally, the open source framework platform is used to test the patient behavior detection system. The experimental results show that the larger the test data set is, the higher the accuracy of patient body behavior feature extraction is. The average recognition rate of patient body behavior category is 97.8%, which verifies the effectiveness and correctness of the system. The application of convolution neural network connects image recognition with intelligent medical nursing, which provides reference and experience for intelligent medical nursing of patients with craniocerebral injury.



    In the present paper, we study the following coupled nonlinear wave equations (see [1])

    uttdiv(ρ(|u|2)u)+|ut|m1ut+f1(u,v)=0, (1.1)
    vttdiv(ρ(|v|2)v)+|vt|n1vt+f2(u,v)=0, (1.2)

    where ut=ut,vt=vt, m,n>1, is the gradient operator, div is the divergence operator and fi(.,.):R2R,i=1,2 are known functions. For arbitrary solutions of (1.1) and (1.2), the function ρ is supposed to satisfy one or the other of the two conditions:

    A1). 0<ρ2(q2)q2m1˜ρ(q2),

    or

    A2). 0<1K1<ρ1(q2)K2˜ρ(q2)1q2,

    where ˜ρ(q2)=q20ρ(ζ)dζ, q2=|u|2,m1,K1,K2>0.

    Quintanilla [2] imposed condition A1 and obtained the growth or decay estimates of the solution to the type Ⅲ heat conduction. The condition A1 can be satisfied easily, e.g., ρ(q2)=11+q2 or ρ(q2)=(1+bpq2)p1,b>0,0<p1. The similar condition as A2 was also considered by many papers (see [3,4]). ρ(q2)=1+q2 satisfies the condition A2.

    In addition, we introduce a function F(u,v) which is defined as Fu=f1(u,v), Fv=f2(u,v), where F(0,0)=0.

    The wave equations have attracted many attentions of scholars due to their wide application, and a large number of achievements have been made in the existence of solutions (see [1,5,6,7,8,9,10,11,12]). The fuzzy inference method is used to solve this problem. The algebraic formulation of fuzzy relation is studied in [13,14]. In this paper, we study the Phragmén-Lindelöf type alternative property of solutions of wave equations (1.1)–(1.2). It is proved that the solution of the equations either grows exponentially (polynomially) or decays exponentially (polynomially) when the space variable tends to infinite. In the case of decay, people usually expect a fast decay rate. The Phragmén-Lindelöf type alternative research on partial differential equations has lasted for a long time (see [2,15,16,17,18,19,20,21,22,23]).

    It is worth emphasizing that Quintanilla [2] considered an exterior or cone-like region. Under some appropriate conditions, the growth/decay estimates of some parabolic problems are obtained. Inspired by [2], we extends the research of to the nonlinear wave model in this paper. However, different from [2], in addition to condition A1 and condition A2, we also consider a special condition of ρ. The appropriate energy function is established, and the nonlinear differential inequality about the energy function is derived. By solving this differential inequality, the Phragmén-Lindelöf type alternative results of the solution are obtained. Our model is much more complex than [2], so the methods used in [2] can not be applied to our model directly. Finally, a nonlinear system of viscoelastic type is also studied when the system is defined in an exterior or cone-like regions and the growth or decay rates are also obtained.

    Letting that Ω(r) denotes a cone-like region, i.e.,

    Ω(r)={x||x|2r2,rR0>0},

    and that B(r) denotes the exterior surface to the sphere, i.e.,

    B(r)={x||x|2=r2,rR0>0},

    Equations (1.1) and (1.2) also have the following initial-boundary conditions

    u(x,0)=v(x,0)=0, in Ω, (2.1)
    u(x,t)=g1(x,t), v(x,t)=g2(x,t), in B(R0)×(0,τ), (2.2)

    where g1 and g2 are positive known functions, x=(x1,x2,x3) and τ>0.

    Now, we establish an energy function

    E(r,t)=t0B(r)eωηρ(|u|2)uxruηdSdη+t0B(r)eωηρ(|v|2)vxrvηdSdηE1(r,t)+E2(r,t). (2.3)

    Let r0 be a positive constant which satisfies r>r0R0. Integrating E(z,t) from r0 to r, using the divergence theorem and Eqs (1.1) and (1.2), (2.1) and (2.2), we have

    E(r,t)E(r0,t)=t0rr0B(ξ)eωη[ρ(|u|2)uuη]dsdξdη+t0rr0B(ξ)eωη[ρ(|v|2)vvη]dsdξdη+t0rr0B(ξ)eωη[uηη+|uη|m+1+f1(u,v)]uηdsdξdη+t0rr0B(ξ)eωη[vηη+|vη|n+1+f2(u,v)]vηdsdξdη+12t0rr0B(ξ)eωηη˜ρ(|u|2)dsdξdη+12t0rr0B(ξ)eωηη˜ρ(|v|2)dsdξdη=12eωtrr0B(ξ)[|ut|2+|vt|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dsdξ+12ωt0rr0B(ξ)eωη[|uη|2+|vη|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dSdξdη+t0rr0B(ξ)eωη[|uη|m+1+|vη|n+1]dsdξdη, (2.4)

    from which it follows that

    rE(r,t)=12eωtB(r)[|ut|2+|vt|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]ds+12ωt0B(r)eωη[|uη|2+|vη|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dSdη+t0B(r)eωη[|uη|m+1+|vη|n+1]dsdη, (2.5)

    where ω is positive constant.

    Now, we show how to bound E(r,t) by rE(r,t). We use the Hölder inequality, the Young inequality and the condition A1 to have

    |E1(r,t)|[t0B(r)eωηρ2(|u|2)|u|2dsdηt0B(r)eωηu2ηdsdη]12m1[t0B(r)eωη˜ρ(|u|2)dsdηt0B(r)eωηu2ηdsdη]12m12[t0B(r)eωη˜ρ(|u|2)dsdη+t0B(r)eωηu2ηdsdη], (2.6)

    and

    |E2(r,t)|m12[t0B(r)eωη˜ρ(|v|2)dsdη+t0B(r)eωηv2ηdsdη]. (2.7)

    Inserting (2.6) and (2.7) into (2.3) and combining (2.5), we have

    |E(r,t)|m1ω[rE(r,t)]. (2.8)

    We consider inequality (2.8) for two cases.

    I. If r0>R0 such that E(r0,t)0. From (2.5), we obtain E(r,t)E(r0,t)0,rr0. Therefore, from (2.8) we have

    E(r,t)m1ω[rE(r,t)],rr0. (2.9)

    Integrating (2.9) from r0 to r, we have

    E(r,t)[E(r0,t)]eωm1(rr0),rr0. (2.10)

    Combing (2.4) and (2.10), we have

    limr{eωm1r[12eωtrr0B(ξ)[|ut|2+|vt|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dsdξ+12ωt0rr0B(ξ)eωη[|uη|2+|vη|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dsdξdη+t0rr0B(ξ)eωη[|uη|m+1+|vη|n+1]dsdξdη]}E(R0,t)eωm1R0. (2.11)

    II. If r>R0 such that E(r,t)<0. The inequality (2.8) can be rewritten as

    E(r,t)m1ω[rE(r,t)],rR0. (2.12)

    Integrating (2.12) from r0 to r, we have

    E(r,t)[E(R0,t)]eωm1(rR0),rR0. (2.13)

    Inequality (2.13) shows that limr[E(r,t)]=0. Integrating (2.5) from r to and combining (2.13), we obtain

    12eωtrB(ξ)[|ut|2+|vt|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dsdξ+12ωt0rB(ξ)eωη[|uη|2+|vη|2+˜ρ(|u|2)+˜ρ(|v|2)+2F(u,v)]dsdξdη+t0rB(ξ)eωη[|uη|m+1+|vη|n+1]dsdξdη[E(r0,t)]eωm1(rR0). (2.14)

    We summarize the above result as the following theorem.

    Theorem 2.1. Let (u,v) be solution of the (1.1), (1.2), (2.1), (2.2) in Ω(R0), and ρ satisfies condition A1. Then for fixed t, (u,v) either grows exponentially or decays exponentially. Specifically, either (2.11) holds or (2.14) holds.

    If the function ρ satisfies the condition A2, we recompute the inequality (2.6) and (2.7). Therefore

    |E1(r,t)|[t0B(r)eωηρ2(|u|2)|u|2dsdηt0B(r)eωηu2ηdsdη]12K1K1[t0B(r)eωηρ1(|u|2)dsdηt0B(r)eωηu2ηdsdη]12K1K1K22[t0B(r)eωη˜ρ(|u|2)dsdη+t0B(r)eωηu2ηdsdη], (3.1)

    and

    |E2(r,t)|K1K1K22[t0B(r)eωη˜ρ(|v|2)dsdη+t0B(r)eωηv2ηdsdη]. (3.2)

    Inserting (3.1) and (3.2) into (2.3) and combining (2.5), we have

    |E(r,t)|K1K1K2ω[rE(r,t)]. (3.3)

    By following a similar method to that used in Section 2, we can obtain the Phragmén-Lindelöf type alternative result.

    Theorem 3.1. Let (u,v) be solution of the (1.1), (1.2), (2.1), (2.2) in Ω(R0), and ρ satisfies condition A1. Then for fixed t, (u,v) either grows exponentially or decays exponentially.

    Remark 3.1. Clearly, the rates of growth or decay obtained in Theorems 2.1 and 3.1 depend on ω. Because ω can be chosen large enough, the rates of growth or decay of the solutions can become large as we want.

    Remark 3.2. The analysis in Sections 2 and 3 can be adapted to the single-wave equation

    uttdiv(ρ(|u|2)u)+|ut|m1ut+f(u)=0 (3.4)

    and the heat conduction at low temperature

    autt+butcΔu+Δut=0, (3.5)

    where a,b,c>0.

    In this section, we suppose that ρ satisfies ρ(q2)=b1+b2q2β, where b1,b2 and β are positive constants. Clearly, ρ(q2)=b1+b2q2β can not satisfy A1 or A2. In this case, we define an "energy" function

    F(r,t)=t0B(r)eωη(b1+b2|u|2β)uxruηdsdη+t0B(r)eωη(b1+b2|v|2β)vxrvηdsdηF1(r,t)+F2(r,t). (4.1)

    Computing as that in (2.4) and (2.5), we can get

    F(r,t)=F(r0,t)+12eωtrr0B(ξ)[|ut|2+b1|u|2+1β+1b2|u|2(β+1)]dsdξ+12eωtrr0B(ξ)[|vt|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]dsdξ+12ωt0rr0B(ξ)eωη[|uη|2+b1|u|2+1β+1b2|u|2(β+1)]dsdξdη+12ωt0rr0B(ξ)eωη[|vη|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]dsdξdη+t0rr0B(ξ)eωη|uη|m+1dsdξdη+t0B(r)eωη|vη|n+1dsdξdη, (4.2)

    and

    rF(r,t)=12eωtB(r)[|ut|2+b1|u|2+1β+1b2|u|2(β+1)]ds+12eωtB(r)[|vt|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]ds+12ωt0B(r)eωη[|uη|2+b1|u|2+1β+1b2|u|2(β+1)]dsdη+12ωt0B(r)eωη[|vη|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]dsdη+t0B(r)eωη|uη|m+1dsdη+t0B(r)eωη|vη|n+1dsdη. (4.3)

    Using the Hölder inequality and Young's inequality, we have

    |F1(r,t)|b1[t0B(r)eωη|u|2dsdηt0B(r)eωηu2ηdsdη]12+b2[t0B(r)eωη|u|2(β+1)dsdη]2β+12(β+1)t0B(r)eωη|uη|m+1dsdη]1m+1|t2πr|12(β+1)1m+1b1R0ω[b12rωt0B(r)eωη|u|2dsdη+12rωt0B(r)eωηu2ηdsdη]+b2|2tπ|12(β+1)1m+1Rββ+12m+10[2β+12(β+1)r2β+12(β+1)+1m+1t0B(r)eωη|u|2(β+1)dsdη+1m+1r2β+12(β+1)+1m+1t0B(r)eωη|uη|m+1dsdη]2β+12(β+1)+1m+1, (4.4)

    and

    |F2(r,t)|b1R0ω[b12rωt0B(r)eωη|v|2dsdη+12rωt0B(r)eωηv2ηdsdη]+b2|2tπ|12(β+1)1n+1Rββ+12n+10[2β+12(β+1)r2β+12(β+1)+1n+1t0B(r)eωη|v|2(β+1)dsdη+1n+1r2β+12(β+1)+1n+1t0B(r)eωη|vη|n+1dsdη]2β+12(β+1)+1n+1, (4.5)

    where we have chosen 12(β+1)>1n+1. Inserting (4.4) and (4.5) into (4.1), we obtain

    |F(r,t)|c1[rrF(r,t)]+c2[rrF(r,t)]2β+12(β+1)+1m+1+c3[rrF(r,t)]2β+12(β+1)+1n+1, (4.6)

    where c1=b1R0ω,c2=b2|2tπ|12(β+1)1n+1Rββ+12m+10,c3=b2|2tπ|12(β+1)1n+1Rββ+12n+10.

    Next, we will analyze Eq (4.6) in two cases

    I. If r0R0 such that F(r0,t)0, then F(r,t)F(r0,t)0,rr0. Therefore, (4.6) can be rewritten as

    F(r,t)c1[rrF(r,t)]+c2[rrF(r,t)]2β+12(β+1)+1m+1+c3[rrF(r,t)]2β+12(β+1)+1n+1,rr0. (4.7)

    Using Young's inequality, we have

    [rrF(r,t)]2β+12(β+1)+1m+1(4β+34(β+1)+12(m+1))[rrF(r,t)]12+(14(β+1)12(m+1))[rrF(r,t)], (4.8)
    [rrF(r,t)]2β+12(β+1)+1n+1(4β+34(β+1)+12(n+1))[rrF(r,t)]12+(14(β+1)12(n+1))[rrF(r,t)]. (4.9)

    Inserting (4.8) and (4.9) into (4.7), we have

    F(r,t)c4[rrF(r,t)]12+c5[rrF(r,t)],rr0. (4.10)

    where c4=c2(4β+34(β+1)+12(m+1))+c3(4β+34(β+1)+12(n+1)) and c5=c1+c2(14(β+1)12(m+1))+c3(14(β+1)12(n+1)). From (4.10) we have

    F(r,t)c5[rrF(r,t)+c42c5]2c244c25,rr0

    or

    rF(r,t)[F(r,t)c5+c244c25c42c5]21r,rr0 (4.11)

    Integrating (4.11) from r0 to r, we get

    2c5[ln(F(r,t)c5+c244c25c42c5)ln(F(r0,t)c5+c244c25c42c5)]c4{[F(r,t)c5+c244c25c42c5]1[F(r0,t)c5+c244c25c42c5]1}ln(rr0),rr0 (4.12)

    Dropping the third term on the left of (4.12), we have

    F(r,t)c5+c244c25c42c5Q1(r0,t)(rr0)12c5, (4.13)

    where Q1(r0,t)=(F(r0,t)c5+c244c25c42c5)exp{c42c5[F(r0,t)c5+c244c25c42c5]1}.

    In view of

    F(r,t)c5+c244c25F(r,t)c5+c42c5,

    we have from (4.13)

    F(r,t)c5Q21(r0,t)(rr0)1c5. (4.14)

    Combining (4.2) and (4.14), we have

    limr{r1c5[12eωtrr0B(ξ)[|ut|2+b1|u|2+1β+1b2|u|2(β+1)]dsdξ+12eωtrr0B(ξ)[|vt|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]dsdξ+12ωt0rr0B(ξ)eωη[|uη|2+b1|u|2+1β+1b2|u|2(β+1)]dsdξdη+12ωt0rr0B(ξ)eωη[|vη|2+b1|v|2+1β+1b2|v|2(β+1)+F(u,v)]dsdξdη+t0rr0B(ξ)eωη|uη|m+1dsdξdη+t0B(r)eωη|vη|n+1dsdξdη]}c5Q21(r0,t)r1c50. (4.15)

    II. If rR0 such that F(r,t)<0, then (4.6) can be rewritten as

    F(r,t)c1[rrF(r,t)]+c2[rrF(r,t)]2β+12(β+1)+1m+1+c3[rrF(r,t)]2β+12(β+1)+1n+1,rR0. (4.16)

    Without losing generality, we suppose that m>n>1.

    [rrF(r,t)]2β+12(β+1)+1n+11n+11m+12β+12(β+1)1m+1[rrF(r,t)]+2β+12(β+1)1m+12β+12(β+1)1m+1[rrF(r,t)]2β+12(β+1)+1m+1, (4.17)
    [rrF(r,t)]2β(m+3)+4(2β+1)(m+2)+1[rrF(r,t)]2β+12(β+1)+1m+1+m+12(β+1)(2β+1)(m+2)+1[rrF(r,t)]2[2β+12(β+1)+1m+1]. (4.18)

    Inserting (4.17) and (4.18) into (4.16), we get

    F(r,t)c6[rrF(r,t)]2β+12(β+1)+1m+1+c7[rrF(r,t)]2[2β+12(β+1)+1m+1], rR0, (4.19)

    where c6=[c1+c31n+11m+12β+12(β+1)1m+1]2β(m+3)+4(2β+1)(m+2)+1+c32β+12(β+1)1m+12β+12(β+1)1m+1,c7=c3m+12(β+1)(2β+1)(m+2)+1. From (4.19) we obtain

    rrF(r,t)[F(r,t)c7+c264c27c62c7]12β+12(β+1)+1m+1, rR0

    or

    2c7F(r,t)c7+c264c27[F(r,t)c7+c264c27c62c7]12β+12(β+1)+1m+1d{F(r,t)c7+c264c27c62c7}1r, rR0 (4.20)

    Integrating (4.20) from R0 to r, we obtain

    2c7(2β+12(β+1)+1m+1)β2(β+1)+2m+1[F(r,t)c7+c264c27c62c7]β2(β+1)+2m+12β+12(β+1)+1m+12c7(2β+12(β+1)+1m+1)β2(β+1)+2m+1[F(R0,t)c7+c264c27c62c7]β2(β+1)+2m+12β+12(β+1)+1m+1c6(2β+12(β+1)+1m+1)12(β+1)1m+1[F(r,t)c7+c264c27c62c7]12(β+1)1m+12β+12(β+1)+1m+1+c6(2β+12(β+1)+1m+1)12(β+1)1m+1[F(R0,t)c7+c264c27c62c7]12(β+1)1m+12β+12(β+1)+1m+1ln(R0r). (4.21)

    Dropping the first and fourth terms on the left of (4.21), we obtain

    F(r,t)c7+c264c27[c8ln(rR0)Q2(R0,t)]2β+12(β+1)+1m+112(β+1)1m+1+c62c7, (4.22)

    where Q2(R0,t)=2c7(12(β+1)1m+1)c6(β2(β+1)+2m+1)[F(R0,t)c7+c264c27c62c7]β2(β+1)+2m+12β+12(β+1)+1m+1 and c8=12(β+1)1m+1c6(2β+12(β+1)+1m+1).

    Squaring (4.22) we have

    F(r,t)c7[c8ln(rR0)Q2(R0,t)]2β+1β+1+2m+112(β+1)1m+1+c6[c8ln(rR0)Q2(R0,t)]2β+12(β+1)+1m+112(β+1)1m+1. (4.23)

    From (4.15) and (4.23) we can obtain the following theorem.

    Theorem 4.1. Let (u,v) be the solution of (1.1), (1.2), (2.1) and (2.2) with ρ(q2)=b1+b2q2β, where 12(β+1)>max{1m+1,1n+1}. Then for fixed t, when r, (u,v) either grows algebraically or decays logarithmically. The growth rate is at least as fast as z1c5 and the decay rate is at least as fast as (lnr)2β+12(β+1)+1m+112(β+1)1m+1.

    Remark 4.1. Obviously, in this case of ρ(q2)=b1+b2q2β, the decay rate obtained by Theorem 4.1 is slower than that obtained by Theorem 2.1 and Theorem 3.1.

    In this section, we concern with a system of two coupled viscoelastic equations

    uttΔu+t0h1(tη)Δu(η)dη+f1(u,v)=0, (5.1)
    vttΔv+t0h2(tη)Δv(η)dη+f2(u,v)=0, (5.2)

    which describes the interaction between two different fields arising in viscoelasticity. In (5.1) and (5.2), 0<t<T and h1,h2 are differentiable functions satisfying h1(0),h2(0)>0 and

    2(T0h21(Tη)dη), 4Th1(0)[T0(h1(Tη)ωh1(Tη))2dη]h1(0), (5.3)
    2(T0h22(Tη)dη), 4Th2(0)[T0(h2(Tη)ωh2(Tη))2dη]h2(0). (5.4)

    Messaoudi and Tatar [24] considered the system (5.1) and (5.2) in a bounded domain and proved the uniform decay for the solution when t. For more special cases, one can refer to [25,26,27]. They mainly concerned the well-posedness of the solutions and proved that the solutions decayed uniformly under some suitable conditions. However, the present paper extends the previous results to Eqs (5.1) and (5.2) in an exterior region. We consider Eqs (5.1) and (5.2) with the initial-boundary conditions (2.1) and (2.2) in Ω.

    We define two functions

    G1(r,t)=t0B(r)eωηuxruηdsdηt0B(r)eωη(η0h1(ηs)uds)xruηdsdηI1+I2, (5.5)
    G2(r,t)=t0B(r)eωηvxrvηdsdηt0B(r)eωη(η0h2(ηs)vds)xrvηdsdηJ1+J2. (5.6)

    Integrating (5.5) from r0 to r and using (5.1), (5.2), (2.1), (2.2) and the divergence theorem, we have

    G1(r,t)=G1(r0,t)+12rr0B(ξ)eωt[|ut|2+|u|2]dsdξ+12ωt0rr0B(ξ)eωη|uη|2dsdξdη+12ωt0rr0B(ξ)eωη|u|2dsdξdη+t0rr0B(ξ)eωηh1(0)|u|2dsdξdηrr0B(ξ)eωt(t0h1(tτ)udτ)udsdξ+t0rr0B(ξ)eωη[η0(h1(ητ)ωh1(ητ))udτ]udsdξdη+t0rr0B(ξ)eωηf1(u,v)uηdsdξdη. (5.7)

    From (5.7) it follows that

    zG1(r,t)=12B(r)eωt[|ut|2+|u|2]ds+12ωt0B(r)eωη|uη|2dsdη+12ωt0B(r)eωη|u|2dsdη+t0B(r)eωηh1(0)|u|2dsdηB(r)eωt(t0h1(tτ)udτ)uds+t0B(r)eωη[η0(h1(ητ)ωh1(ητ))udτ]udsdη+t0B(r)eωηf1(u,v)uηdsdη. (5.8)

    By the Young inequality and the Hölder inequality, we have

    |B(r)eωt(t0h1(ητ)udτ)uds|B(r)eωt[(t0h1(ts)u(s)ds)2+14|u|2]ds(t0h21(tτ)dτ)t0B(r)eωη|u|2dsdη+14B(r)eωt|u|2ds, (5.9)

    and

    |t0B(r)eωη[η0(h1(ητ)ωh1(ητ))udτ]udsdη|th1(0)[t0(h1(ητ)ωh1(ητ))2dτ]t0B(r)eωη|u|2dsdη+14t0B(r)eωηh1(0)|u|2dsdη. (5.10)

    Inserting (5.9) and (5.10) into (5.8) and using (5.3), we have

    zG1(r,t)12B(r)eωt[|ut|2+12|u|2]ds+12ωt0B(r)eωη|uη|2dsdη+12ωt0B(r)eωη|u|2dsdη+t0B(r)eωηf1(u,v)uηdsdη. (5.11)

    Similar to (5.11), we also have for G2(r,t)

    zG2(r,t)12B(r)eωt[|vt|2+12|v|2]ds+12ωt0B(r)eωη|vη|2dsdη+12ωt0B(r)eωη|v|2dsdη+t0B(r)eωηf2(u,v)vηdsdη. (5.12)

    If we define

    G(r,t)=G1(r,t)+G2(r,t),

    then by (5.11) and (5.12) we have

    zG(r,t)12B(r)eωt[|ut|2+|vt|2+12|u|2+12|v|2+2F(u,v)]ds+12ωt0B(r)eωη[|uη|2+|vη|2+|u|2+|v|2+2F(u,v)]dsdη. (5.13)

    On the other hand, we bound G(r, t) by \frac{\partial}{\partial r}G(r, t) . Using the Hölder inequality, the AG mean inequality, (5.3) and combining (5.13), we have

    \begin{align} \Big|I_1\Big|+\Big|J_1\Big|&\leq\Big(\int_0^t\int_{B(r)}e^{-\omega\eta}|\nabla u|^2 dAd\eta\cdot\int_0^t\int_{B(r)}e^{-\omega\eta}|u_\eta|^2 dsd\eta\Big)^\frac{1}{2} \\ &+\Big(\int_0^t\int_{B(r)}e^{-\omega\eta}|\nabla v|^2 dAd\eta\cdot\int_0^t\int_{B(r)}e^{-\omega\eta}|v_\eta|^2 dsd\eta\Big)^\frac{1}{2} \\ &\leq\frac{1}{\omega}\Big[\frac{\partial}{\partial r}G(r, t)\Big], \end{align} (5.14)

    and

    \begin{align} \Big|I_2\Big|&\leq\Big(\int_0^t\int_{B(r)}e^{-\omega\eta}\Big|\int_0^\eta h_1(\eta-\tau)\nabla ud\tau\Big|^2 dsd\eta\cdot\int_0^t\int_{B(r)}e^{-\omega\eta}|u_\eta|^2dsd\eta\Big)^\frac{1}{2} \\ &\leq\Big(\int_0^t\int_{B(r)}e^{-\omega\eta}\Big(\int_0^\eta h^2_1(\eta-\tau)d\tau\Big)\Big(\int_0^\eta |\nabla u|^2d\tau\Big) dsd\eta\cdot\int_0^t\int_{B(r)}e^{-\omega\eta}|u_\eta|^2dsd\eta\Big)^\frac{1}{2} \\ &\leq t\Big(\int_0^t h^2_1(\eta-\tau)d\tau\Big)^\frac{1}{2}\Big(\int_0^t\int_{B(r)}e^{-\omega\eta} |\nabla u|^2 dsd\eta\cdot\int_0^t\int_{B(r)}e^{-\omega\eta}|u_\eta|^2dsd\eta\Big)^\frac{1}{2} \\ &\leq\frac{t}{2}\Big(\int_0^t h^2_1(\eta-\tau)d\tau\Big)^\frac{1}{2}\Big[\int_0^t\int_{B(r)}e^{-\omega\eta} |\nabla u|^2 dsd\eta+\int_0^t\int_{B(r)}e^{-\omega\eta}|u_\eta|^2dsd\eta\Big]\\ &\leq\frac{T}{2\omega}\sqrt{h_1(0)}\Big[\frac{\partial}{\partial r}G(r, t)\Big]. \end{align} (5.15)

    Similar to (5.15), we have

    \begin{align} \Big|J_2\Big|\leq\frac{T}{2\omega}\sqrt{h_2(0)}\Big[\frac{\partial}{\partial r}G(r, t)\Big]. \end{align} (5.16)

    Inserting (5.14)–(5.16) into (5.5) and (5.6), we have

    \begin{align} \Big|G(r, t)\Big|\leq c_9\frac{1}{\omega}\Big[\frac{\partial}{\partial r}G(r, t)\Big], \end{align} (5.17)

    where c_9 = \frac{T}{2}(\sqrt{h_1(0)}+\sqrt{h_2(0)})+2 .

    We can follow the similar arguments given in the previous sections to obtain the following theorem.

    Theorem 5.1. Let (u, v) be the solution of (5.1), (5.2), (2.1) and (2.2) in \Omega , and (5.3) and (5.4) hold. For fixed t ,

    (1) If \exists\ R_0\geq r_0 , G(R_0, t)\geq0 , then

    G(r, t)\geq G(R_0, t)e^{\frac{\omega}{b_9}(r-R_0)}.

    (2) If \forall\ r\geq r_0 , G(r, t) < 0 , then

    -G(r, t)\leq \Big[-G(r_0, t)\Big]e^{-\frac{\omega}{b_9}(r-r_0)}.

    Again, the rate of growth or decay obtained in this case is arbitrarily large

    Remark 5.1. It is clear that the above analysis can be adapted without difficulties to the equation (see [28,29])

    u_{tt}-k_0\triangle u+\int_0^tdiv[a(x)h(t-s)\nabla u(s)]ds+b(x)g(u_t)+f(u) = 0

    and the equation (see [30])

    |u_{t}|^\sigma u_{tt}-k_0\triangle u-\Delta u_{tt}+\int_0^th(t-s)\Delta u(s)]ds-\gamma\Delta u_t = 0

    with some suitable g and a(x)+b(x)\geq b_{10} > 0 and k_0, \sigma, \gamma > 0.

    In this paper, we have considered several situations where the solutions of Eqs (1.1) and (1.2) either grow or decay exponentially or polynomially. We emphasize that the Poincaré inequality on the cross sections is not used in this paper. Thus, our results also hold for the two-dimensional case. On the other hand, there are some deeper problems to be studied in this paper. We can continue to study the continuous dependence of coefficients in the equation as that in [31]. These are the issues we will continue to study in the future.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The authors express their heartfelt thanks to the editors and referees who have provided some important suggestions. This work was supported by the Guangzhou Huashang College Tutorial Scientific Research Project (2022HSDS09), National Natural Science Foundation of China (11371175) and the Research Team Project of Guangzhou Huashang College (2021HSKT01).

    The authors declare that there is no conflict of interest.



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