Human Posture Estimation using Visual Information

Human-robot cooperation is one of the central research issues in robotics.All kinds of sensors will be used since the robot should understand human’s intention.This article will focus on the human posture estimation by using Microsoft Kinect.The visual Information from Kinect can be acquired and used to extract the human skeletal information and further,calculate the human posture.The experiment results have been compared with a Qualisys system,which has been proved quite precisely.     

Shape-based time series similarity measure and pattern discovery algorithm

Pattern discovery from time series is of fundamental importance. Most of the algorithms of pattern discovery in time series capture the values of time series based on some kinds of similarity measures. Affected by the scale and baseline, value-based methods bring about problem when the objective is to capture the shape. Thus, a similarity measure based on shape, Sh measure, is originally proposed, and the properties of this similarity and corresponding proofs are given. Then a time series shape pattern discovery algorithm based on Sh measure is put forward. The proposed algorithm is terminated in finite iteration with given computational and storage complexity. Finally the experiments on synthetic datasets and sunspot datasets demonstrate that the time series shape pattern algorithm is valid.     

Selective growth of InP on patterned,nonplanar InP substrates by low-pressure organometallic vapor phase epitaxy

The effects of indium sources, mask materials and etched mesa profiles on growth mor-phology of Fe-doped semi-insulating InP on patterned, nonplanar InP substrates were studied for low-pressure organometallic vapor phase epitaxy (OMVPE). The presence or absence of polycrystalline InP layers deposited on the mask was found to depend on the indium source but not on the mask material. Trimethylindium was found to be the preferable indium source for prevention of polycrystalline InP deposits on the mask. The etched mesa shape was found to dominate the final geometry of the OMVPE re-grown InP layer. Inclusion of an interfacial layer of 1.16 μm bandgap wavelength InGaAsP between the dielectric mask and InP substrate produces a favorable mesa shape by con-trolling the level of undercut during mesa etching, so as to form a smooth mesa profile. After selective regrowth of InP over the resulting mesa, a planar surface is typically achieved for mesa stripes with a mask overhang length as long as 2.6 μm and a mesa height as high as 4 μm.     

Opportunities and Challenges Brought by the Internet

The Internet has made an important part of the national information infrastructure of China. Without the Internet, social informationization cannot be popularized to an extent as today. Upon the coming of a new year, we especially invited Mr. Jiang Lintao, a famous communication expert and the chief engineer of China Academy of Telecommunication Research of the Ministry of Information Industry, to give us his opinions on the opportunities and challenges brought by the Internet. According to Mr. Jiang, the appearance of the Internet has brought great impact on telecommunications networks. It has broken the monopoly of the telecom industry in telecom services and promoted the development of technologies. Characterized by continuous innovation and aggressiveness, Internet services guarantee their dominating position in broadband networks, and put the telecom industry in a quite passive position. The telecom industry is still looking for new development direction and breakthroughs in technology so as to regain its leading position. Mr. Jiang also pointed out that the future of both telecom networks and the Internet should be next generation network, which will be the main body of the future national information infrastructure. The essential features of the next generation network should be as follows: it should be secure and trustworthy enough to safeguard users’ rights, national security and social stability; it should be scalable enough to allow sustainable development; it should be compatible with current main technologies, co-exist with them and allow their graceful evolution; and it should provide a network platform for everybody to innovate.     

COMPUTATION OF EM FIELD DISTRIBUTION IN A BIOLOGICAL MEDIUM AND EXPERIMENTAL CONFIRMATION

Theory and numerical computation of EM field distribution rule in a biologicalmedium with irregular shape are described. Integral equations of induced EM field distributionin biological body are deduced from EM field scattering. Numerical computations are conductedby the moment method. In order to verify the effectiveness of the theory, a set of experimentalequipment is designed precisely. The results of numerical computation are compared with mea-sured values. It is shown that they are in good agreement. This theory can be used widely forits generality.     

A Kernel PCA Shape Prior and Edge Based MRF Image Segmentation

We introduce both shape prior and edge information to Markov random field (MRF) to segment target of interest in images.Kernel Principal component analysis (PCA) is performed on a set of training shapes to obtain statistical shape representation.Edges are extracted directly from images.Both of them are added to the MRF energy function and the integrated energy function is minimized by graph cuts.An alignment procedure is presented to deal with variations between the target object and shape templates.Edge information makes the influence of inaccurate shape alignment not too severe,and brings result smoother.The experiments indicate that shape and edge play important roles for complete and robust foreground segmentation.     

A Novel Algorithm of Water Region Detection in SAR Image Based on Bag of Visual Words and Local Pattern Histogram

Water region detection based on SAR images is a difficult problem for its computing complexity.This paper proposes a novel water region detection method in SAR image of complex scenery.The algorithm takes advantages of Bag of visual words (BOV) to precisely describe the homogeneous region in complex scenery.Local pattern histogram (LPH) and single-class Support vector machine (SVM) are adopted to determine the edge information of water region precisely.The feature extraction is calculated block by block,which reduces computing workload and interference from noise.The experiments based on SAR images of real complex scenery show that the proposed method achieves higher accuracy and robustness.     

Formal modeling and quantitative evaluation for information system survivability based on PEPA

Survivability should be considered beyond security for information system. To assess system survivability accurately, for improvement, a formal modeling and analysis method based on stochastic process algebra is proposed in this article. By abstracting the interactive behaviors between intruders and information system, a transferring graph of system state oriented survivability is constructed. On that basis, parameters are defined and system behaviors are characterized precisely with performance evaluation process algebra （PEPA）, simultaneously considering the influence of different attack modes. Ultimately the formal model for survivability is established and quantitative analysis results are obtained by PEPA Workbench tool. Simulation experiments show the effectiveness and feasibility of the developed method, and it can help to direct the designation of survivable system.     

Electronic structures and transport properties of BN nanodot superlattices of armchair graphene nanoribbons

The electronic and transport properties of embedded boron nitride(BN) nanodot superlattices of armchair graphene nanoribbons are studied by first-principles calculations.The band structure of the graphene superlattice strongly depends on the geometric shape and size of the BN nanodot,as well as the concentration of nanodots.The conduction bands and valence bands near the Fermi level are nearly symmetric,which is induced by electron-hole symmetry.When B and N atoms in the graphene superlattices with a triangular BN nanodot are exchanged,the valance bands and conduction bands are inverted with respect to the Fermi level due to electron-hole symmetry.In addition,the hybridization ofπorbitals from C and redundant B atoms or N atoms leads to a localized band appearing near the Fermi level.Our results also show a series of resonant peaks appearing in the conductance.This strongly depends on the distance of the two BN nanodots and on the shape of the BN nanodot. Controlling these parameters might allow the modulation of the electronic response of the systems.     

Pure Bending Characteristic of Tilted Fiber Bragg Grating

a novel structure of the pure macro- bending sensor based on the tilted fiber Bragg grating （TFBG） is proposed. The TFBG located in the half circle with the different diameters is bent at a constant angle with respect to the tilted grating planes. With the variations of the curvature, the core-mode resonance is unchanged and the transmission power of cladding modes detected by the photodiodes varies linearly with curvature, while the ghost mode changes by the form of two-order polynomial. So we can use the transmission power of ghost mode or other cladding modes to detect bending curvature as shape sensor. From a practical point of view, the sensor proposed here is simple, low cost and easy to implement. Moreover, it is possible to make a temperature-insensitive shape sensor due to the same temperature characteristic between the core mode and the cladding modes.     

基于遗传算法的任意栅格星载多波束平面阵列方向图综合

讨论了一种基于遗传算法的综合任意平面阵列方向图的方法。算法直接将复数作为遗传算法的编码,省去了一般遗传算法的编码、解码步骤,简化了计算过程,节约了计算时间。采用两种交叉算子,能够较好地克服早熟收敛和收敛对初始群体的依赖。仿真结果表明,该方法能够对任意栅格阵列实现复杂形状方向图的赋形,并且在实现主瓣赋形的同时能够实现良好的旁瓣抑制。     

Differential-Transfer-Matrix Based on Airy's Functions in Analysis of Planar Optical Structures With Arbitrary Index Profiles

A novel analytical method for solution of planar optical structure with arbitrary refractive index profile is proposed. This new method is founded on differential-transfer-matrices, whose field solutions are based on Airy's trial functions. In contrast to conventional Wentzel, Kramers, and Brillouin (WKB) solutions, which diverge around the turning points, this approach can be successfully used for exact calculation of various functions, including eigenvalues of optical waveguides with arbitrary index profiles, and complex reflection and transmission coefficients, even at the presence of turning points. The method is rigorous and can be applied for both major polarizations.     

采用PML吸收边界条件的FDTD法在分析平面微带结构中的应用

本文将理想匹配层(PML)吸收边界条件用于平面微带结构的时域有限差分法(FDTD)分析中,给出平面微带结构的PML吸收边界条件,并编制程序,进行数值计算。结果表明,与传统的Mur吸收边界条件相比,采用PML吸收边界条件只需采用最简单的馈源模型就可明显地减小计算网格空间和加快收敛速度,并且可用于分析任意复杂结构的微带电路。本文方法对微带电路及微带天线的CAD设计将具有实际意义。     

A NOVEL UNIVERSAL PREPROCESSING APPROACH FOR HIGH-RESOLUTION DIRECTION-OF-ARRIVAL ESTIMATION

A novel universal preprocessing method is proposed to estimate angles of arrival,which is applicable to one-or two-dimensional high resolution processing based on arbitrarycenter-symmetric arrays (such as uniform linear arrays, equal-spaced rectangular planar arraysand symmetric circular arrays). By mapping the complex signal space into the real one, the newmethod can effectively reduce the computation needed by the signal subspace direction findingtechniques without any performance degradation. In addition, the new preprocessing scheme itselfcan decorrelate the coherent signals received on the array. For regular array geometry such asuniform linear arrays and equal-spaced rectangular planar arrays, the popular spatial smoothingpreprocessing technique can be combined with the novel approach to improve the decorrelatingability. Simulation results confirm the above conclusions.     

一种通用的高分辨率波达方向估计预处理新方法

本文提出了一种通用的高分辨率波达方向估计预处理新方法。它适用于任意中心对称阵列(如等距线阵、等距矩形面阵和对称圆阵等)的一维或二维高分辨处理。新方法在无性能损失的前提下将复信号空间映射到实信号空间上来处理。这样就有效地减少了信号子空间类高分辨率测向方法所需的运算量。此外,新方法本身对阵列接收信号还有一定的去相干作用。对于等距线阵和等距矩形面阵这类规则阵列,可将常用的空域平滑预处理方法与新方法相结合以进一步提高去相干能力。仿真结果证明了上述结论的正确性。     

Efficient hybrid spatial and spectral techniques in analyzingplanar periodic structures with nonuniform discretizations

A new efficient technique for analyzing planar periodic structures with arbitrary unit cell geometry rendered in a nonuniform discretization is proposed in this paper. The mixed potential integral equation is solved by the method of moments in conjunction with the Rao-Wilton-Glisson triangular discretization. The convergence of computing each element in the impedance matrix is accelerated using Ewald's method for contributions of quasi-dynamic and complex images and the lattice-sum method for the surface-wave contribution. Numerical efficiency and accuracy of this hybrid method are compared with the spectral-domain method     

A matrix approach to study the propagation characteristics of ageneral nonlinear planar waveguide

A simple matrix approach, which involves multiplication of 2×2 transfer matrices, is developed to study the propagation characteristics of a nonlinear planar waveguide. Numerical results for some nonlinear structures are presented and compared with the exact and previously published numerical results. It is shown that results obtained by the present approach are very accurate. In addition, the present method can be applied to arbitrary refractive index profiles with arbitrary nonlinear dependence     

Phase synthesis of antennas for a given radiation pattern in oneplane using piecewise linear aperture phase distribution

A phase-only method for the synthesis of planar aperture antennas for a given complex radiation pattern in one plane is reported. The problem is reduced to determining an appropriate aperture phase distribution in the form of a ruled function and solved for apertures with rectangular shape and an arbitrary amplitude distribution and for apertures of arbitrary shape and amplitude distribution. This method can be used for controlling the pattern of phased-array antennas. Results of computer modeling are presented     

Blind signal separation for coprime planar arrays: An improved coupled trilinear decomposition method

In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical polyadic decomposition (CPD) and propose an improved coupled trilinear decomposition approach. The output data of coprime planar arrays are modeled as a coupled tensor set that can be further interpreted as a coupled CPD model, allowing a signal separation to be achieved using coupled trilinear alternating least squares (TALS). Furthermore, in the procedure of the coupled TALS, a Vandermonde structure enforcing approach is explicitly applied, which is shown to ensure fast convergence. The results of Monto Carlo simulations show that our proposed algorithm has the same separation accuracy as the basic coupled TALS but with a faster convergence speed.