An efficient bi-objective optimization framework for statistical chip-level yield analysis under parameter variations

With shrinking technology, the increase in variability of process, voltage, and temperature (PVT) parameters significantly impacts the yield analysis and optimization for chip designs. Previous yield estimation algorithms have been limited to predicting either timing or power yield. However, neglecting the correlation between power and delay will result in significant yield loss. Most of these approaches also suffer from high computational complexity and long runtime. We suggest a novel bi-objective optimization framework based on Chebyshev affine arithmetic (CAA) and the adaptive weighted sum (AWS) method. Both power and timing yield are set as objective functions in this framework. The two objectives are optimized simultaneously to maintain the correlation between them. The proposed method first predicts the guaranteed probability bounds for leakage and delay distributions under the assumption of arbitrary correlations. Then a power-delay bi-objective optimization model is formulated by computation of cumulative distribution function (CDF) bounds. Finally, the AWS method is applied for power-delay optimization to generate a well-distributed set of Pareto-optimal solutions. Experimental results on ISCAS benchmark circuits show that the proposed bi-objective framework is capable of providing sufficient trade-off information between power and timing yield.     

Skeleton-based canonical forms for non-rigid 3D shape retrieval

Computational Visual Media - The retrieval of non-rigid 3D shapes is an important task. A common technique is to simplify this problem to a rigid shape retrieval task by producing a...     

水利工程中PC管桩复合地基应用设计分析

基于软土地基的特性及预应力混凝土管桩复合地基设计相关理论,给出了水利工程中PC管桩复合地基设计特点及具体设计思路,结合实际案例,采用三维非线性有限元"桩-土"模型,通过理论分析与数值模拟探究其应用机理,得出褥垫层最大沉降为8.2 cm、底板最大沉降为9.5 cm,说明褥垫层及底板可大大增加PC管桩实际承载能力,对桩体起到了保护及分担荷载的作用,突破了常规PC管桩复合地基过分依赖桩承担垂直荷载和水平荷载的传统思想。基于数值分析结果可看出,复合地基竖向承载力特征值为202 k Pa,地基处理已达到要求,因此软体地基上的预应力混凝土管桩复合地基应用是可行的;褥垫层、管桩及周围地基土组成了一个复杂的多维应力场,各部件之间相互影响,其中褥垫层与管桩作为加固处理区,大大提升了周围土体的承载力,褥垫层有力调整了上部结构的荷载,使地基承载力得到了更大的扩充。     

论经济新常态下水利水电工程建设管理之完善

在经济新常态背景下,从节约国家资源、降低成本、提高质量效率、保护生态环境、最大限度发挥水利水电工程作用出发,水利水电工程建设与管理工作也应适应新常态。水利水电事业的发展应告别过去传统粗放的高速增长模式,放稳速度,抓质量,重效益,求精细,保持科学合理的可持续稳定增长。对新常态下如何完善水利水电工程建设与管理展开了探讨,旨在解决当前水利水电工程建设与管理中存在的问题,促进水利水电事业的科学发展。     

Physically Meaningful Rendering using Tristimulus Colours

In photorealistic image synthesis the radiative transfer equation is often not solved by simulating every wavelength of light, but instead by computing tristimulus transport, for instance using sRGB primaries as a basis. This choice is convenient, because input texture data is usually stored in RGB colour spaces. However, there are problems with this approach which are often overlooked or ignored. By comparing to spectral reference renderings, we show how rendering in tristimulus colour spaces introduces colour shifts in indirect light, violation of energy conservation, and unexpected behaviour in participating media. Furthermore, we introduce a fast method to compute spectra from almost any given XYZ input colour. It creates spectra that match the input colour precisely. Additionally, like in natural reflectance spectra, their energy is smoothly distributed over wide wavelength bands. This method is both useful to upsample RGB input data when spectral transport is used and as an intermediate step for corrected tristimulus‐based transport. Finally, we show how energy conservation can be enforced in RGB by mapping colours to valid reflectances.     

DCT-based objective quality assessment metric of 2D/3D image

With the increasing growth of multimedia applications over the networking in recent years, users have put forward much higher requirements for multimedia quality of experience (QoE) than before. One of the representative requirements is the image quality. Therefore, the image quality assessment ranging from two-dimension (2D) image to three-dimension (3D) image has been getting much attention. In this paper, an efficient objective image quality assessment metric in block-based discrete cosine transform (DCT) coding is proposed. The metric incorporates properties of human visual system (HVS) to improve its validity and reliability in evaluating the quality of stereoscopic image. This is fulfilled by calculating the local pixel-based distortions in frequency domain, combining the simplified models of local visibility properties embodied in frequency domain, which consist of region of interest (ROI) mechanism (visual sensitivity), contrast sensitivity function (CSF) and contrast masking effect. The performance of the proposed metric is compared with other currently state-of-the-art objective image quality assessment metrics. The experimental results have demonstrated that the proposed metric is highly consistent with the subjective test scores. Moreover, the performance of the metric is also confirmed with the popular IRCCyN/IVC database. Therefore, the proposed metric is promising in term of the practical efficiency and reliability for real-life multimedia applications.