热塑性淀粉加工过程的控制参数及塑化程度的表征方法

在介绍热塑性淀粉塑料加工原理的基础上,提出特殊机械能可以作为描述热塑性淀粉塑化过程的控制参数;并对表征热塑性淀粉塑化程度的各种方法进行了总结和评述。     

基于最大后验概率的熔融态物料结构的层析图像提取法

以聚合物挤出过程中的熔融态物料为对象，在比较层析图像与反射式光强图像的成像特点基础上，叙述了基于最大后验概率的熔融态物料多特征结构的层析图像提取方法，并介绍了层析图像提取实验的结果，理论与实验表明，该方法能有效地分割熔融态物料，细化熔融态结构,实现对熔融态物料特征结构的提取和测量。     

Coded exposure HDR light‐field video recording

Capturing exposure sequences to compute high dynamic range (HDR) images causes motion blur in cases of camera movement. This also applies to light‐field cameras: frames rendered from multiple blurred HDR light‐field perspectives are also blurred. While the recording times of exposure sequences cannot be reduced for a single‐sensor camera, we demonstrate how this can be achieved for a camera array. Thus, we decrease capturing time and reduce motion blur for HDR light‐field video recording. Applying a spatio‐temporal exposure pattern while capturing frames with a camera array reduces the overall recording time and enables the estimation of camera movement within one light‐field video frame. By estimating depth maps and local point spread functions (PSFs) from multiple perspectives with the same exposure, regional motion deblurring can be supported. Missing exposures at various perspectives are then interpolated.     

Panorama light‐field imaging

We present a novel approach to recording and computing panorama light fields. In contrast to previous methods that estimate panorama light fields from focal stacks or naive multi‐perspective image stitching, our approach is the first that processes ray entries directly and does not require depth reconstruction or matching of image features. Arbitrarily complex scenes can therefore be captured while preserving correct occlusion boundaries, anisotropic reflections, refractions, and other light effects that go beyond diffuse reflections of Lambertian surfaces.     

Learning Natural Colors for Image Recoloring

We present a data‐driven method for automatically recoloring a photo to enhance its appearance or change a viewer's emotional response to it. A compact representation called a RegionNet summarizes color and geometric features of image regions, and geometric relationships between them. Correlations between color property distributions and geometric features of regions are learned from a database of well‐colored photos. A probabilistic factor graph model is used to summarize distributions of color properties and generate an overall probability distribution for color suggestions. Given a new input image, we can generate multiple recolored results which unlike previous automatic results, are both natural and artistic, and compatible with their spatial arrangements.     

Evaluation of polymer rheology from drop spreading experiments

In this paper, spreading experiments on “heavy” polymer drops are performed. “Heavy” refers to large polymer drops, i.e., the radius of the drop, R, is much larger than the capillary length, κ^-1, so that the spreading is dictated by gravity. The zero-shear viscosity can be found from measurements of the time-dependent drop radius or vice versa. Viscosity values found from spreading experiments compare well with the viscosity values found from dynamic rheological experiments.     

计算机局域网硬件常见故障及维修处理方法

随着网络的逐步普及,局域网的建设走向信息化已成为必然选择,它不仅为现代化教学,综合化信息管理,办公自动化等一系列应用提供基本操作平台而且能提供多种服务。本人联系工作实践,阐述局域网常见故障和处理的方法,并针对计算机局域网常见硬件故障,提出相应处理对策。     

一个国际产、学、研结合的范例--美国伍斯特工学院金属研究所

简要介绍美国伍斯特工学院金属研究所(MPI)在产学研结合方面的成功经验.美国伍斯特工学院是美国历史上第3所工科院校,以重视与企业合作进行工程教育而闻名.MPI是大学研究所与企业的联合体,有包括福特汽车公司、北美压铸协会等131个大大小小的企业及工业协会参加这一联合体.致力于进行针对企业存在的技术问题的基础与应用研究,开发和示范最先进的金属加工技术,为工业合伙人培训雇员等.会员自愿入会,交纳会费,由会员代表组成指导委员会,汇集和整理企业提出的技术需求,每年从中提炼出两个共性的问题,交由MPI进行研究.同时,MPI也同联合体成员共同承担美国政府资助的研究项目,这类项目多数由企业部分出资.研究工作以MPI与企业密切结合的方式开展.联合体每年举办两次会议,由MPI向企业汇报研究结果,交换信息.联合体也以伍斯特工学院为依托,开展企业的人员培训工作.     

Guided Volume Editing based on Histogram Dissimilarity

Segmentation of volumetric data is an important part of many analysis pipelines, but frequently requires manual inspection and correction. While plenty of volume editing techniques exist, it remains cumbersome and errorprone for the user to find and select appropriate regions for editing. We propose an approach to improve volume editing by detecting potential segmentation defects while considering the underlying structure of the object of interest. Our method is based on a novel histogram dissimilarity measure between individual regions, derived from structural information extracted from the initial segmentation. Based on this information, our interactive system guides the user towards potential defects, provides integrated tools for their inspection, and automatically generates suggestions for their resolution. We demonstrate that our approach can reduce interaction effort and supports the user in a comprehensive investigation for high‐quality segmentations.     

The frequency partitioned block modified filtered-x NLMS with orthogonal correction factors for multichannel Active Noise Control

The Normalized Least Mean Square (NLMS) algorithm with a filtered-x structure (FxNLMS) is a widely used adaptive algorithm for Active Noise Control (ANC) due to its simplicity and ease of implementation. One of the major drawbacks is its slow convergence. A modified filtered-x structure (MFxNLMS) can be used to moderately improve the speed of convergence, but it does not offer a huge improvement. A greater increase in the speed of convergence can be obtained by using the MFxNLMS algorithm with orthogonal correction factors (M-OCF), but the usage of orthogonal correction factors also increases the computational complexity and limits the usage of the M-OCF in massive real-time applications. However, Graphics Processing Units (GPUs) are well known for their potential for highly parallel data processing. Therefore, GPUs seem to be a suitable platform to ameliorate this computational drawback. In this paper, we propose to derive the M-OCF algorithm to a partitioned block-based version in the frequency domain (FPM-OCF) for multichannel ANC systems in order to better exploit the parallel capabilities of the GPUs. The results show improvements in the convergence rate of the FPM-OCF algorithm in comparison to other NLMS-type algorithms and the usefulness of GPU devices for developing versatile, scalable, and low-cost multichannel ANC systems.