The use of dsc to assess the stabilization of thermoplastic eucalyptus tar pitch fibers

During the production of pitch-based carbon fibers, oxidative thermal stabilization is an important intermediary step, because it permits the thermoplastic as-spun fibers to be rendered thermosetting. In the present work, DSC analyses are employed to assess the stabilization of eucalyptus tar pitch fibers. This is possible due to the pronounced differences noticed between DSC profiles of green and oxidized fibers, which reflect the changes that the fiber structure undergoes during stabilization. This revised version was published online in July 2006 with corrections to the Cover Date.     

一种基于线性预测与自相关函数法的语音基音周期检测新算法

阐述了一种新的基于语音线性预测模型和经典自相关函数法的基音周期检测算法。该算法的特点在于着重对被处理语音进行滤波预处理和平滑后处理。它克服了自相关法在对低信噪比的语音信号检测时常出现半倍频误差的缺点，同时又克服了对某些变化曲线较大的语音信号检测时随机错误较多的问题。实验表明，在噪声环境下．这种处理方法能够提高传统自相关基音检测法的可靠性和准确性。     

A lateral super-resolution differential confocal technology with phase-only pupil filter

In order to achieve a higher lateral resolution required for ultraprecision measurement of microstructural workpieces, phase-only pupil filtering differential confocal microscopy (PFDCM), a new approach is proposed based on the differential confocal microscopy (DCM), which uses a three-zone phase-only pupil filter with lateral super-resolution capability obtained through optimized design to change the distribution of DCM three-dimensional point spread function, so that the DCM lateral resolution is therefore significantly improved while its axial resolution is slightly improved. Preliminary experimental comparison and analyses indicate that, the lateral and axial resolutions of PFDCM are better than 0.2 μm and 2 nm, respectively, when wavelength of incidence laser beam , numerical aperture of measuring lens NA=0.85, and lateral spot size with a three-zone phase-only pupil filter G_T=0.65. It is therefore concluded that PFDCM is a new approach to further improvement of lateral resolution in laser probe measurement systems.     

Boundary contour analysis for surface stress recovery in 2-D elasticity and Stokes flow

Summary A variant of the boundary element method, called the boundary contour method, offers a further reduction in dimensionality. Consequently, boundary contour analysis of 2-D problems does not require any numerical integration at all. In a boundary contour analysis, boundary stresses can be accurately computed using the approach proposed in Ref. [1]. However, due to singularity, this approach can be used only to calculate boundary stresses at points that do not lie at an end of a boundary element. Herein, it is shown that a technique based on the displacement/velocity shape functions can overcome this drawback. Further, the approach is much simpler to apply, requires less computational effort, and provides competitive accuracy. Numerical solutions and convergence study for some well-known problems in linear elasticity and Stokes flow are presented to show the effectiveness of the proposed approach. This research was supported in part by the 2004 Ralph E. Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities and by the University of South Alabama Research Council.     

基于Gmac模型的乳腺肿块分割算法

在乳腺CAD系统中,乳腺肿块分割是一个重要的先前步骤,分割结果的好坏直接影响到肿块的分类和检测.本文将Gmac模型应用到乳腺肿块分割上,并提出了求解Gmac模型的两种改进方法:改进的变分水平集法、改进的splitbregman方法.实验选取了483幅医学乳腺肿块图片进行分割,得到了两种改进方法的CM均值分别为64%和76%;AMED均值分别为4.4750和1.4602.结果表明:改进的split bregman方法对乳腺肿块进行了更有效的分割.实验也利用经典的ACWE模型和GAC模型对上述乳腺肿块图片进行了分割实验,与基于改进split bregman方法的Gmac模型相比,结果表明:Gmac模型具有更好的分割性能.     

基于图像运动检测的子场编码优化算法

针对等离子显示器中运动图像产生的动态伪轮廓现象,提出了一种基于图像运动检测的子场编码优化算法。该算法在分析常用动态伪轮廓和运动补偿算法的基础上,通过检测图像数据的变化差值判断图像的运动状态,并通过图像运动状态选择不同的显示灰度构成方式:静态图像选择全灰度级编码,动态图像选择较少灰度级编码,通过优化编码方式消除图像的动态伪轮廓。实验表明,算法减少了不同运动速度的图像因算法引起的人工纹理,保证了静态图像的显示细节,达到改善显示图像画质的目的。此外,该算法还具有处理速度快,易于硬件实现等优点。     

HV‐SoP Technology for Maskless Fine‐Pitch Bumping Process

Recently, we have witnessed the gradual miniaturization of electronic devices. In miniaturized devices, flip‐chip bonding has become a necessity over other bonding methods. For the electrical connections in miniaturized devices, fine‐pitch solder bumping has been widely studied. In this study, high‐volume solder‐on‐pad (HV‐SoP) technology was developed using a novel maskless printing method. For the new SoP process, we used a special material called a solder bump maker (SBM). Using an SBM, which consists of resin and solder powder, uniform bumps can easily be made without a mask. To optimize the height of solder bumps, various conditions such as the mask design, oxygen concentration, and processing method are controlled. In this study, a double printing method, which is a modification of a general single printing method, is suggested. The average, maximum, and minimum obtained heights of solder bumps are 28.3 μm, 31.7 μm, and 26.3 μm, respectively. It is expected that the HV‐SoP process will reduce the costs for solder bumping and will be used for electrical interconnections in fine‐pitch flip‐chip bonding.     

一种低抖动噪声的PDP动态假轮廓改善方法

为降低等离子体显示器(PDP)动态假轮廓(DFC)改善中的抖动噪声,提出了一种抖动区域宽度自适应变化并融合孤立像素点分离的随机抖动改善DFC方法.首先分析DFC干扰条纹的特性,得到符合视觉特性的DFC评测方法;然后根据DFC的严重程度计箅相应的抖动区域宽度,采用融合孤立像素点分离的随机抖动方法实现未被选取的灰度级.仿真...     

A Weighted Feature Voting Approach for Robust and Real‐Time Voice Activity Detection

This paper concerns a robust real‐time voice activity detection (VAD) approach which is easy to understand and implement. The proposed approach employs several short‐term speech/nonspeech discriminating features in a voting paradigm to achieve a reliable performance in different environments. This paper mainly focuses on the performance improvement of a recently proposed approach which uses spectral peak valley difference (SPVD) as a feature for silence detection. The main issue of this paper is to apply a set of features with SPVD to improve the VAD robustness. The proposed approach uses a weighted voting scheme in order to take the discriminative power of the employed feature set into account. The experiments show that the proposed approach is more robust than the baseline approach from different points of view, including channel distortion and threshold selection. The proposed approach is also compared with some other VAD techniques for better confirmation of its achievements. Using the proposed weighted voting approach, the average VAD performance is increased to 89.29% for 5 different noise types and 8 SNR levels. The resulting performance is 13.79% higher than the approach based only on SPVD and even 2.25% higher than the not‐weighted voting scheme.