收费公路债务风险的成因与对策

随着我国收费公路规模的扩大,债务问题愈加突出。巨额债务形成的主要原因是政府投入不足、规划不合理、决策不科学、融资结构单一等。只有控制债务增长速度、提高偿还能力、拓宽融资渠道等方面才能化解收费公路的债务风险。     

Face Hallucination with Weighted Nuclear Norm Constraint

Face hallucination via patch-pairs leaning based methods has been wildly used in the past several years. Some position-patch based face hallucination methods have been proposed to improve the representation power of image patch and obtain the optimal regressive weighted vector. The rationale behind the position-patch based face hallucination is the fact that human face is always highly structured and consequently positioned and it plays an increasingly important role in the reconstruction. However, in the existing position-patch based methods, the probe image patch is usually represented as a linear combination of the corresponding patches of some training images, and the reconstruction residual is usually measured using the vector norm such as 1-norm and 2-norm. Since the vector norms neglect two-dimensional structures inside the residual, the final reconstruction performance is not very satisfactory. To cope with this problem, we present a weighted nuclear-norm constrained sparse coding (WNCSC) model for position-patch based face hallucination. In addition, an efficient algorithm for the WNCSC is developed using the alternating direction method of multipliers (ADMM) and the method of augmented Lagrange multipliers (ALM). The advantages of the proposed model are twofold: in order to fully make use of low-rank structure information of the reconstruction residual, the weighted nuclear norm is applied to measure the residual matrix, which is able to alleviate the bias between input patches and training data, and it is more robust than the Euclidean distance (2-norm); the more flexible selection method for rank components can determine the optimal combination weights and adaptively choose the relevant and nearest hallucinated neighbors. Finally, experimental results prove that the proposed method outperforms the related state-of-the-art methods in both quantitative and visual comparisons.     

公共汽车立体综合车场调度模式研究

公共汽车立体综合车场(以下简称"立体车场")能有效应对城市用地日益趋紧的困境,同时契合公共交通优先发展的战略需求.有必要研究总结立体车场的调度理论与方法,以解决立体车场调度中可能面临的问题.首先,总结立体车场的现实意义与调度研究现状.其次,分析立体车场的主要特征、要素构成以及规模测算.再次,基于立体车场的调度逻辑与调度...     

Deformable Registration of Chest Radiographs Using B-spline Based Method with Modified Residual Complexity

Accurate registration of chest radiographs plays an increasingly important role in medical applications.However, most current intensity-based registration methods rely on the assumption of intensity conservation that is not suitable for alignment of chest radiographs. In this study, we propose a novel algorithm to match chest radiographs, for which the conventional residual complexity(RC) is modified as the similarity measure and the cubic B-spline transformation is adopted for displacement estimation. The modified similarity measure is allowed to incorporate the neighborhood influence into variation of intensity in a justified manner of the weight, while the transformation is implemented with a registration framework of pyramid structure. The results show that the proposed algorithm is more accurate in registration of chest radiographs, compared with some widely used methods such as the sum-of-squared-differences(SSD), correlation coefficient(CC) and mutual information(MI)algorithms, as well as the conventional RC approaches.     

Single Image Super-Resolution Method via Refined Local Learning

In this paper,we propose a refined local learning scheme to reconstruct a high resolution(HR)face image from a low resolution(LR)observation.The contribution of this work is twofold.Firstly,multi-direction gradient features are extracted to search the nearest neighbors for each image patch,then the non-negative matrix factorization(NMF)is used to reduce the complexity in weight calculation,and the initial HR embedding is estimated from the training pairs by preserving local geometry.Secondly,a global reconstruction constraint and post-processing by non-local filtering is incorporated into super-resolution(SR)reconstruction process to reduce the image artifacts and further improve the image visual quality.Experimental results show that the proposed algorithm improves the SR performance both in subjective and objective assessments compared with several existing methods.     

汽车格栅对发动机冷却性能影响的研究

汽车格栅是整车前脸造型的灵魂,汽车格栅造型同时对汽车通风能力起决定性作用。文章依托项目开发,对项目预选的不同造型汽车格栅开口率对冷却性能的影响进行深入分析论证,探讨对通风及冷却性能的影响。     

运用灰色关联评价二灰砂浆配合比设计

针对目前我国二灰碎石基层暴露出来的粒料偏细、收缩性大、反射裂缝严重等问题,该文进行了二灰砂浆的配合比设计,并对二灰砂浆性能的影响因素进行了研究。在单因素试验的基础上,以抗压强度为指标,采用灰色关联理论对细集料的级配、二灰与细集料的配比和石灰与粉煤灰的掺配比例进行了分析,从而确定了二灰砂浆的最佳配合比设计,用于优化二灰碎石混合料的组成设计,改善二灰碎石混合料的路用性能。     

一种模拟整车环境的电驱系统测试方法

基于综合测试台架搭建整车模型，嵌入预瞄控制方法，有效消除指令传递、响应等过程对分析造成的影响。该方法保证了模拟整车环境测试的准确性、有效性。