加速SPICE进行三维电磁分析

互连结构的电磁分析越来越受到人们的重视.针对三维互连,A.E.Ruehli提出了部分元等效电路法.但该法生成的等效电路具有紧耦合性,用SPICE进行分析时稀疏矩阵技术已失去原先的优越性.本文采用广义残量法作为大型紧耦合线性方程组的求解工具以取代SPICE中的LU分解法,并辅以初值预估.实际计算表明,本文的方法提高了运算速度.广义残量法也可用于矩量法的方程求解中.     

A 3-D Spectral-Element Time-Domain Method for Electromagnetic Simulation

A spectral-element time-domain (SETD) method is proposed to solve 3-D transient electromagnetic problems based on Gauss-Lobatto-Legendre polynomials. It has the advantages of spectral accuracy and block-diagonal mass matrix. With the inexpensive inversion of the block-diagonal mass matrix, the proposed method requires only a trivial sparse matrix-vector product at each time step, thus significantly reducing CPU time and memory requirement. Galerkin's method is used for spatial discretization, and a fourth-order Runge-Kutta scheme is employed for the time integration. The perfectly matched layer (PML) is employed to truncate the boundary in unbounded problems. The pseudospectral time-domain method is used to simplify the treatment of the PML inside the proposed SETD method. Numerical examples are shown to verify the efficiency and the spectral accuracy with the order of basis functions     

A Hybrid SIM-SEM Method for 3-D Electromagnetic Scattering Problems

A new method combining the spectral integral method and spectral element method (SIM-SEM) is proposed to simulate 3-D electromagnetic scattering from inhomogeneous objects. In this hybrid technique (a special case of the finite element boundary integral (FEM-BI) combination), the SEM with the mixed-order curl conforming vector Gauss-Lobatto-Legendre (GLL) basis functions are used to represent the interior electric field with high accuracy, while the SIM on a cuboid surface is used as an exact radiation boundary condition. The Toeplitz property of the SIM matrix is utilized to reduce the memory and CPU time costs in an iterative solver by using the fast Fourier transform algorithm. Unlike the traditional FEM-BI combination where the BI portion usually dominates the computational complexity, the computational costs are much lower in the SIM-SEM method. Numerical results verify the accuracy and capability of this method, confirming that the SIM-SEM method is a good alternative for solving scattering problems from inhomogeneous objects.      

A linear two-layer model for flat-band shift in irradiated MOS devices

A close-form mathematical expression is derived for the flat-band shift as a function of gate bias during electron irradiation. The model assumes that the charge in the oxide consists of charged layers of variable thickness at each of the two interfaces, depending on voltage polarity and magnitude. The region of extreme linearity which has been observed by numerous investigators and which normally occurs for the relatively small values of gate bias voltages fits this closed-form solution. Analytical results compare favorably with data obtained from 500 and 700 Å thick oxides and with other previously published data.     

Lock-in thermal laser stimulation for non-destructive failure localization in 3-D devices

We report a new non-destructive method to localize interconnection failures in 3-D devices. The scanning optical microscopy (SOM) technique is based on lock-in thermal laser stimulation (LI-TLS) and uses thermal waves to non-destructively map the current path in a 3-D device. We validate the method with test structures and show how the magnitude and phase of a propagating thermal wave may provide valuable 3-dimensional information on the failure location. We apply the technique on a short failed chain structure in a four level chip stack with an intensity modulated laser as a thermal wave injector and the structure under test as a detector. We confirm our results by physical failure analysis through a selective cross sectioning process.     

Efficient modeling of 3-D photonic crystals for integrated optical devices

We propose a full-wave numerical model of a three-dimensional (3-D) photonic crystal with the absolute photonic bandgap (PBG) centered at /spl lambda//spl sim/1.6 /spl mu/m. The analyzed structure is widely used in integrated optical circuitry. The electromagnetic analysis is performed by using the finite-element method (FEM) and transmission line matrix-integral equation (TLMIE) method. We analyze the reflection properties and compare theoretical results to experimental data. Due to its exact boundary conditions, TLMIE shows much higher accuracy with respect to FEM in the PBG optical band. As a demonstration, we have realized and analyzed a holographic polymer dispersed liquid crystal grating.     

B-spline explicit active surfaces: an efficient framework for real-time 3-D region-based segmentation

A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images.     

AMCBFM—MBPE快速分析三维目标的宽带宽角散射特性

宽带宽角特性是电磁研究领域具有重要意义的课题.文章旨在将自适应修正特征基函数法(AMCBFM)与基于模型参数估计(MBPE)的技术结合来构造一种快速分析三维目标体宽带宽角电磁特性的混合算法--AMCBFM-MBPE.其中AMCBFM基于对目标体分块,并充分考虑了各分块间耦合度的不同,块间耦合激励通过一系列的系数来修正,收敛判据运用各阶基函数所得的电流来确定.而MBPE基于有理函数插值法.AMCBFMMBPE技术通过自适应采样后,只需要得到采样点的信息即可求得区间上的电磁特性.比逐点计算目标体电磁特性的传统方法明显减少了采样点的数目.数值结果显示,该混合方法具有精度高、计算时间少、不需要多余存储空间等优点.     

A 2-D motion detection model for low-cost embedded reconfigurable I/O devices

A low-cost reconfigurable embedded apparatus for two-dimensional (2-D) motion detection has been developed. This paper briefly outlines the embedded reconfigurable system architecture, and presents in-depth the 2-D motion detection model, which is directly mapped to reconfigurable hardware. Emphasis is placed on the hardware ability to adapt to individual needs of kinetically challenged persons by altering detection thresholds and delays, thus resulting into an efficient low-cost reconfigurable hardware implementation of the model. This paper also presents how the model detects complex motions through a vocabulary of simple motions, and how the system is trained to individual users' needs. Experimental results and integrated applications of the model for text processing are also presented.     

Edge-based 3-D camera motion estimation with application to videocoding

Two classes of algorithms for modeling camera motion in video sequences captured by a camera are proposed. The first class can be applied when there is no camera translation and the motion of the camera can be adequately modeled by zoom, pan, and rotation parameters. The second class is more general in that it can be applied when the camera is undergoing a translation motion, as well as a rotation and zoom and pan. This class uses seven parameters to describe the motion of the camera and requires the depth map to be known at the receiver. The salient feature of both algorithms is that the camera motion is estimated using binary matching of the edges in successive frames. The rate distortion characteristics of the algorithms are compared with that of the block matching algorithm and show that the former provide performance characteristics similar to those of the latter with reduced computational complexity.     

Quasi-static behavior of MOS devices in the freeze-out regime

The quasi-static CV curves (low-frequency C-V curves) measured in the freeze-out regime of MOS transistors result in peaks near the accumulation or inversion regions depending on the direction of the voltage sweep. In this paper, we report a study of these peaks in n- and p-channel CMOS transistors within and outside compensating wells. The peaks in the quasi-static CV curves are attributed to the capture of minority carriers near inversion by the interface states and the capture of majority carriers by the interface states near accumulation     

快速多极子-边棱元混合算法分析三维非均匀各向异性复杂目标的电磁散射

本文发展了一种能有效分析非均匀各向异性复杂目标的电磁散射特性的三维快速算法;该算法在切向矢量有限元、即边棱元的基础上,采用近年来发展起来的快速多极子算法加速问题的求解,大大降低了计算复杂度,并减小了计算内存.计算实例表明了该方法的有效性和可靠性.     

A 3-D marker-free system for the analysis of movement disabilities- an application to the legs

Describes an approach allowing the analysis of human motion in 3D space. The system that we developed is composed of three CCD (charge-coupled device) cameras that capture synchronized image sequences of a human body in motion without the use of markers. Characteristic points belonging to the boundaries of the body in motion are first extracted from the initial images. 2D superquadrics are then adjusted on these points by a fuzzy clustering process. After that, the position of a 3D model based on a set of articulated superquadrics, each of them describing a part of the human body, is reconstructed. An optical flow process allows the prediction of the position of the model from its position at a previous time, and gives initial values for the fuzzy classification. The results that we present more specifically concern the analysis of movement disabilities of a human leg during gait. They are improved by using articulation-based constraints. The methodology can be used in human motion analysis for clinical applications     

A neural-learning-based reflectance model for 3-D shape reconstruction

In this letter, the limitation of the conventional Lambertian reflectance model is addressed and a new neural-based reflectance model is proposed of which the physical parameters of the reflectivity under different lighting conditions are interpreted by the neural network behavior of the nonlinear input-output mapping. The idea of this method is to optimize a proper reflectance model by a neural learning algorithm and to recover the object surface by a simple shape-from-shading (SFS) variational method with this neural-based model. A unified computational scheme is proposed to yield the best SFS solution. This SFS technique has become more robust for most objects, even when the lighting conditions are uncertain.     

A geometric model for 3-D confocal image analysis

In this paper, we use partial-differential-equation-based filtering as a preprocessing and post processing strategy for computer-aided cytology. We wish to accurately extract and classify the shapes of nuclei from confocal microscopy images, which is a prerequisite to an accurate quantitative intranuclear (genotypic and phenotypic) and internuclear (tissue structure) analysis of tissue and cultured specimens. First, we study the use of a geometry-driven edge-preserving image smoothing mechanism before nuclear segmentation. We show how this filter outperforms other widely-used filters in that it provides higher edge fidelity. Then we apply the same filter, with a different initial condition, to smooth nuclear surfaces and obtain sub-pixel accuracy. Finally we use another instance of the geometrical filter to correct for misinterpretations of the nuclear surface by the segmentation algorithm. Our prefiltering and post filtering nicely complements our initial segmentation strategy, in that it provides substantial and measurable improvement in the definition of the nuclear surfaces.     

An accurate thin-wire model for 3-D TLM simulations

Accurate modeling of thin wires in large-scale numerical electromagnetic simulations is very time consuming if fine meshing is adopted. Special treatments of such wires to allow their incorporation into relatively coarse meshes have lead to the development of thin-wire nodes for the transmission-line matrix (TLM) method. Previous models require the use of empirical factors. A novel thin-wire node is presented that is derived from rigorous field theory, requires no empirical factors and is shown to be highly effective. Moreover, virtually no computational overhead is incurred in the use of the new wire node.     

Embedded power: a 3-D MCM integration technology for IPEM packaging application

Embedded power (EP) is the name for an integration technology for the power electronics switching stage, in which the multiple bare power chips, such as IGBTs, MOSFETs, and diodes, are buried in a ceramic frame and covered by a dielectric layer with via holes on the Al pads of the chips. Then, a planar metallization pattern is deposited onto it both for bonding to the power chips and a circuit wiring. The ceramic frame can be used as an extra thermal path and substrate for fabrication of the hybrid circuit with compatible thin- or thick-film techniques. When this integrated chips component is stacked with a base substrate and the associated components, a novel three-dimensional (3-D) multichip module (MCM) is produced. Such an integrated power electronics module (IPEM) offers performance improvement, functional integration, and process integration, as compared to conventional power hybrid modules. This paper presents the details of this technology, including the process design and implementation. A subsystem IPEM, incorporating power factor correction (PFC) and dc/dc switching stages for a distributed power system (DPS) front-end converter application, has been fabricated and characterized to demonstrate the feasibility of this power electronics integration technology. The capability for functional integration and the electrical performance improvement, which includes reduction in parasitics and increase in efficiency, are presented.     

Electromagnetic scattering from nonspherical particles: a new polarisability model with application to agglomerating spheres

A new model for the static polarisability tensor elements of small particles is proposed and investigated. The static polarisability tensor for nearly agglomerated and agglomerated homogeneous dielectric spheres is investigated using a numerical procedure. Excellent agreement is obtained with a recent theoretical formulation for the slightly separated case.<>