Hybrid Function Projective Synchronization of Chaotic Systems with Uncertain Time-varying Parameters via Fourier Series Expansion

In this paper, the hybrid function projective synchronization (HFPS) of different chaotic systems with uncertain periodically time-varying parameters is carried out by Fourier series expansion and adaptive bounding technique. Fourier series expansion is used to deal with uncertain periodically time-varying parameters. Adaptive bounding technique is used to compensate the bound of truncation errors. Using the Lyapunov stability theory, an adaptive control law and six parameter updating laws are constructed to make the states of two different chaotic systems asymptotically synchronized. The control strategy does not need to know the parameters thoroughly if the time-varying parameters are periodical functions. Finally, in order to verify the effectiveness of the proposed scheme, the HFPS between Lorenz system and Chen system is completed successfully by using this scheme.

Band gap bowing and crossing of B_xGa_(1-x)N alloy investigated by hybrid functional method

The electronic properties of zinc-blende BxGal-xN alloys are comparatively investigated by employ- ing both the Perdewe-Burkee-Ernzerhof generalized-gradient approximation （PBE-GGA） and the Heyd-Scuseria- Ernzerhof screened hybrid functional methods （HSE06）. HSE06 reproduced much closer ground-state properties to experiments. Large and composition-dependent bowing parameters br for the direct band gaps were obtained from both PBE and HSE06. The crossover composition where alloy switches from direct to indirect was predicted to occur at very similar x from PBE and HSE06. We can obtain direct gap BxGal-xN with a gap value much larger than that of GaN by alloying x 〈 0.557 boron into GaN.

Hybrid density functional study on lattice vibration,thermodynamic properties,and chemical bonding of plutonium monocarbide

Hybrid density functional theory is employed to systematically investigate the structural,magnetic,vibrational,thermodynamic properties of plutonium monocarbide（Pu C and Pu C0.75）.For comparison,the results obtained by DFT,DFT ＋ U are also given.For Pu C and Pu C0.75,Fock-0.25 hybrid functional gives the best lattice constants and predicts the correct ground states of antiferromagnetic（AFM） structure.The calculated phonon spectra suggest that Pu C and Pu C0.75 are dynamically stable.Values of the Helmholtz free energy ？F,internal energy ？E,entropy S,and constant-volume specific heat Cv of Pu C and Pu C0.75 are given.The results are in good agreement with available experimental or theoretical data.As for the chemical bonding nature,the difference charge densities,the partial densities of states and the Bader charge analysis suggest that the Pu–C bonds of Pu C and Pu C0.75 have a mixture of covalent character and ionic character.The effect of carbon vacancy on the chemical bonding is also discussed in detail.We expect that our study can provide some useful reference for further experimental research on the phonon density of states,thermodynamic properties of the plutonium monocarbide.

基于改进Hybrid A^(*)算法的阿克曼移动机器人路径规划

针对移动机器人路径规划的效率和所规划路径的安全性问题,基于阿克曼六轮转向模型,提出了一种基于改进Hybrid A^(*)算法的路径规划方法。通过改进Hybrid A^(*)算法中的启发式函数,引入距离惩罚函数,减少了节点搜索数量;通过构建安全走廊,引导移动机器人尽可能远离障碍物;在代价函数中加入了节点向前、换向和向后扩展的惩罚项,确保所规划路径的可执行性与安全性。通过仿真表明,基于改进Hybrid A^(*)算法的路径规划方法适用于阿克曼六轮移动机器人,提高了路径规划的效率,规划的路径更具安全保障。

Defects Energetics and Electronic Properties of Li Doped ZnO： A Hybrid Hartree-Fock and Density Functional Study

The electronic properties and stability of Li-doped ZnO with various defects have been stud- ied by calculating the electronic structures and defect formation energies via first-principles calculations using hybrid Hartree-Fock and density functional methods. The results from formation energy calculations show that Li pair complexes have the lowest formation energy in most circumstances and they consume most of the Li content in Li doped ZnO, which make the p-type conductance hard to obtain. The formation of Li pair complexes is the main obstacle to realize p-type conductance in Li doped ZnO. However, the formation energy of Lizn decreases as environment changes from Zn-rich to O-rich and becomes more stable than that of Li-pair complexes at highly O-rich environment. Therefore, p-type conductance can be obtained by Li doped ZnO grown or post annealed in oxygen rich atmosphere.

Hybrid graded element model for transient heat conduction in functionally graded materials

This paper presents a hybrid graded element model for the transient heat conduction problem in functionally graded materials （FGMs）. First, a Laplace transform approach is used to handle the time variable. Then, a fundamental solution in Laplace space for FGMs is constructed. Next, a hybrid graded element is formulated based on the obtained fundamental solution and a frame field. As a result, the graded properties of FGMs are naturally reflected by using the fundamental solution to interpolate the intra-element field. Further, Stefest＇s algorithm is employed to convert the results in Laplace space back into the time-space domain. Finally, the performance of the proposed method is assessed by several benchmark examples. The results demonstrate well the efficiency and accuracy of the proposed method.

HYBRID FEM WITH FUNDAMENTAL SOLUTIONS AS TRIAL FUNCTIONS FOR HEAT CONDUCTION SIMULATION

A new type of hybrid finite element formulation with fundamental solutions as internal interpolation functions, named as HFS-FEM, is presented in this paper and used for solving two dimensional heat conduction problems in single and multi-layer materials. In the proposed approach, a new variational functional is firstly constructed for the proposed HFS-FE model and the related existence of extremum is presented. Then, the assumed internal potential field constructed by the linear combination of fundamental solutions at points outside the elemental domain under consideration is used as the internal interpolation function, which analytically satisfies the governing equation within each element. As a result, the domain integrals in the variational functional formulation can be converted into the boundary integrals which can significantly simplify the calculation of the element stiffness matrix. The independent frame field is also introduced to guarantee the inter-element continuity and the stationary condition of the new variational functional is used to obtain the final stiffness equations. The proposed method inherits the advantages of the hybrid Trefftz finite element method （HT-FEM） over the conventional finite element method （FEM） and boundary element method （BEM）, and avoids the difficulty in selecting appropriate terms of T-complete functions used in HT-FEM, as the fundamental solutions contain usually one term only, rather than a series containing infinitely many terms. Further, the fundamental solutions of a problem are, in general, easier to derive than the T-complete functions of that problem. Finally, several examples are presented to assess the performance of the proposed method, and the obtained numerical results show good numerical accuracy and remarkable insensitivity to mesh distortion.

Hybrid functional microfibers for textile electronics and biosensors

Fibers are low-cost substrates that are abundantly used in our daily lives. This review highlights recent advances in the fabrication and application of multifunctional fibers to achieve fibers with unique functions for specific applications ranging from textile electronics to biomedical applications. By incorporating various nanomaterials such as carbon nanomaterials, metallic nanomaterials, and hydrogel-based biomaterials, the functions of fibers can be precisely engineered. This review also highlights the performance of the functional fibers and electronic materials incorporated with textiles and demonstrates their practical application in pressure/tensile sensors,chemical/biosensors, and drug delivery. Textile technologies in which fibers containing biological factors and cells are formed and assembled into constructions with biomimetic properties have attracted substantial attention in the field of tissue engineering. We also discuss the current limitations of functional textile-based devices and their prospects for use in various future applications.

Structure and Properties of Functionalized Porous Silica Hybrid Materials

Functionalized silica hybrid materials are extensively studied and applied materials in the field of science and technology. Functionalization is an approach, which allows for the application of organic components in the improvement of the design, properties and potential application of silicate materials. Silica hybrid materials, functionalized via incorporation of organic components (chitosan and methacrylic acid) were synthesized by the sol-gel method. The base silica structure of the hybrids was obtained via hydrolysis and condensation of the silicate precursor, tetraethyl orthosilicate. The investigations of synthesized hybrids are focused on the influence of the nature and quantity of functional organic components on their final structures and properties. The structural characteristics of obtained hybrid materials were investigated using XRD, FTIR, SEM and DTA/TG analysis. The obtained results presented the formation of amorphous porous structure and the organic components are evenly distributed into the silica network. The functional radicals of chitosan and methacrylic acid (amine, hydroxyl groups) exist in the hybrid structure as free reactive centers, as their quantity increases with increasing the organic amount. The swelling behavior in acidic and neutral solutions of the synthesized materials is investigated and the results presented, that the silicate materials exhibit hydrophilic character.

APPLICATION OF PENALTY FUNCTION METHOD IN ISOPARANIETRIC HYBRID FINITE ELEMENT ANALYSIS

By the aid of the penalty function method, the equilibrium restriction conditions were introduced to the isoparametric hybrid finite element analysis, and the concrete application course of the penalty function method in three-dimensional isoparametdc hybrid finite element was discussed. The separated penalty parameters method and the optimal hybrid element model with penalty balance were also presented. The penalty balance method can effectively refrain the parasitical stress on the premise of no additional degrees of freedom. The numeric experiment shows that the presented element not only is effective in improving greatly the numeric calculation precision of distorted grids but also has the universality.

A New Hybrid Model of Amino Acid Substitution for Protein Functional Classification

In this paper, a new hybrid model of amino acid substitution is developed and compared with the others in previous works. The results show that the new hybrid model can characterize the protein sequences very well by calculating Fisher weights, which can denote how much the variants contribute to the classification.

准晶问题多项式应力函数及其在有限元中的应用

本文基于广义Lekhnitskii各向异性弹性理论,提出了一种确定准晶问题多项式应力函数的系统性方法,并将之应用于杂交应力函数(HSF)单元的构造.结果表明,对于准晶平面问题,任意齐n次多项式应力函数至多存在6个独立的多项式,且多项式应力函数的一般表达式可以显式地给出.所得的多项式作为解析试函数用于构造准晶问题的新型八节点HSF单元,与传统的有限元相比,HSF单元具有更高的精度和更优异的性能.

基于响应面回归模型的纤维混凝土力学性能分析

为研究玄武岩纤维和纤维素纤维掺量对混杂纤维轻骨料高强混凝土抗压强度、抗折强度和劈裂抗拉强度的影响,构建响应面回归模型,对比分析其力学试验实测值和预测值,并结合渴求函数获得混凝土优化配合比.结果表明:此回归模型有效且可信度高,可用于分析试验结果;两种纤维交互作用、水灰比与纤维素纤维交互作用对抗压强度、抗折强度、劈裂抗拉强度影响显著;模型预测最优水灰比为0.30,纤维素纤维掺量为0.90 kg/m3,玄武岩纤维掺量为4.00 kg/m3,强度预测值与试验值间相对误差绝对值均小于5%,该回归模型可为混杂纤维轻骨料高强混凝土的配合比多目标优化提供参考.

结合传递比与栈式自编码器的结构损伤识别

如何从土木结构响应数据中挖掘损伤特征并有效分类,是实现损伤模式识别的关键。为此,以框架结构为分析对象,搭建设有自编码器隐藏层和Softmax分类层的栈式自编码器网络,采用无监督联合有监督的混合学习机制;基于有限元分析获取框架不同工况下的传递比函数值,构建训练集、验证集和测试集样本;通过预训练确定自编码器隐藏层的参数值如权重和偏置值,避免网络出现过拟合;采用微调方式进一步调整预训练后的网络参数值,再结合验证集实现对网络超参数的调整;将实测传递比数据输入网络,实现对框架节点损伤的评估。结果表明:所提方法能有效进行损伤特征的提取和分类,准确识别框架节点的单、双损伤工况,相较于传统浅层神经网络具有更高的识别准确度和更好的抗噪性。

多尺度和卷积注意力相结合的红外与可见光图像融合

针对红外与可见光图像融合时,单一尺度特征提取不足、红外目标与可见光纹理细节丢失等问题,提出一种多尺度和卷积注意力相结合的红外与可见光图像融合算法。首先,设计多尺度特征提取模块和可变形卷积注意力模块相结合的编码器网络,多感受野提取红外与可见光图像的重要特征信息。然后,采用基于空间和通道双注意力机制的融合策略,进一步融合红外和可见光图像的典型特征。最后,由3层卷积层构成解码器网络,用于重构融合图像。此外,设计基于均方误差、多尺度结构相似度和色彩的混合损失函数约束网络训练,进一步提高融合图像与源图像的相似性。本算法在公开数据集上与7种图像融合算法进行比较,在主观评价和客观评价方面,所提算法相较其它对比算法具有较好的边缘保持性、源图像信息保留度,较高的融合图像质量。

基于IHHO-HKELM输电线路覆冰预测模型

为了进一步提高输电线路覆冰预测精度,提出一种基于改进哈里斯鹰算法(improved harris hawk optimiza-tion,IHHO)优化混合核极限学习机(hybrid kernel extreme learning machine,HKELM)的输电线路覆冰预测模型。在核极限学习机(KELM)中引入混合核函数,形成HKELM,利用黄金正弦、非线性递减能量指数和高斯随机游走等策略对IHHO算法进行改进;以IHHO算法的优化性能采用其对HKELM的权值向量和核参数进行优化,建立基于IHHO-HKELM的输电线路覆冰预测模型,并通过计算气象因素与覆冰厚度之间的灰色关联度确定覆冰预测模型的输入量。算例分析结果表明,IHHO-HKELM模型预测结果的均方误差、最大误差和平均相对误差分别为0.285、0.860 mm和2.83%,预测效果好于其他模型,将本文覆冰预测模型应用于其他覆冰线路,可获得良好的应用效果并验证模型的优越性和实用性。

Structural, Electronic and Optical Properties of ScxAl1-xN alloys within DFT Calculations

Structural, electronic and optical properties of Sc-based aluminum-nitride alloy have been carried out with first-principles methods using both local density approximation (LDA) and Heyd-Scuseria-Ernzerhof (HSE) hybrid functional. This latter provides a more accurate description of the lattice parameters, enthalpy of formation, electronic and optical properties of our alloy than standard DFT. We found the transition from wurtzite to rocksalt structures at 61% of Sc concentration. By increasing the scandium concentration, the lattice parameters and the band gap decrease. The HSE band gap is in good agreement with available experimental data. The existence of the strong hybridization between Sc 3d and N 2p indicates the transport of electrons from Sc to N atoms. Besides, it is shown that the insertion of the Sc atom leads to the redshift of the optical absorption edge. The optical absorption of ScxAl1-xN is found to decrease with increasing Sc concentrations in the low energy range. Because of this, ScxAl1-xN have a great potential for applications in photovoltaics and photocatalysis.

功能可恢复RCS混合框架结构研究进展

钢筋混凝土柱-钢梁(RCS)混合框架结构以其结合了混凝土优异的抗压性能及钢材优异的抗弯性能而受到广泛关注,而可恢复功能结构以其震后快速恢复使用功能的能力,也成为地震工程界研究的新热点。功能可恢复RCS混合框架结构可以在弯矩较大的梁端和柱脚部位设置可更换构件,实现结构的功能可恢复能力。文中简述了近年来功能可恢复RCS混合框架结构研究进展,重点关注各类型功能可恢复钢梁、功能可恢复摇摆柱脚的构造研究,介绍了功能可恢复RCS混合框架结构性能分析研究进展。最后,对功能可恢复RCS混合框架结构仍需深入研究的问题进行了展望。

基于混合平衡优化算法的疫苗配送路径优化

针对疫苗配送路径优化问题,在同时考虑固定成本、运输成本、制冷成本、碳排放成本和惩罚成本的情况下,提出以疫苗配送成本最小化为目标的车辆路径优化模型。为求解模型,在平衡优化器算法中引入模拟退火算法,改进平衡优化器算法容易陷入局部最优的不足,通过加入可变参数,提升算法平衡全局搜索和局部寻优的能力,得到一个能够稳定求出较高质量解的混合平衡优化算法。对2种不同规模的算例分别进行20次实验,将混合平衡优化算法与并行平衡优化算法、知识型蚁群算法、混合变邻域搜索算法、改进混合粒子群算法和平衡优化器算法进行对比。实验结果表明,混合平衡优化算法在小规模算例和大规模算例下得到的最小配送成本和配送成本的标准差都小于其他5种算法,其中,在小规模算例下进行实验后得到的最小配送成本分别为其他5种算法的73.5%、53.9%、69.1%、64.1%和33.4%。

熔融温度对DLC薄膜杂化状态影响的分子动力学研究

文章基于Tersoff势函数,采用分子动力学方法建立金刚石的分子模型,分析了不同熔融温度和冷却过程对原子键合结构,径向分布函数曲线和配位数的影响,从原子尺度阐明了DLC薄膜制备过程中原子形态杂化的形成机理。研究发现:DLC薄膜主要由C-sp3和C-sp2杂化相组成,当温度低于6000 K时,熔融和冷却基本不会使C-sp3杂化发生结构转变,薄膜的性能比较稳定。当温度高于7000 K时,熔融过程中有大量的C-sp3杂化原子转变为C-sp2和C-sp1,冷却和弛豫平衡会引起高能态C-sp3杂化原子转变为C-sp2,但C-sp1杂化的含量基本不变。熔融温度主要影响DLC薄膜制备过程中C-sp3和C-sp2相的百分比含量,当体系中C-sp2含量超过40%,薄膜的性能将趋向于石墨。