物流企业低碳行为信用监管演化博弈分析

基于碳达峰和碳中和背景下中国物流企业的低碳义务履行问题,构建了政府、物流企业和公众三方演化博弈模型,以研究政府、物流企业和公众在低碳行为信用监管进程中相互作用的演化过程。同时运用Netlogo软件进行了参数仿真实验,寻找提升监管效果的最优政策。研究结论如下:(1)地方政府和公众两种力度的综合影响能够有效地改变企业的策略选择,促进企业的低碳行为;(2)在提升监管效果方面,降低政府监管成本的效果十分显著,降低公众成本的效果会适得其反;(3)提高政府对企业的补贴和政府对企业的罚款都有显著提升效果且提高前者的效果更好。然而提升上级政府对地方政府的处罚会降低系统的稳定性;(4)通过增大公众对企业的收益影响而不是增大政府对公众的补贴更能促进监管的效果。

Fast Adaptive Support-Weight Stereo Matching Algorithm

Adaptive support-weight (ASW) stereo matching algorithm is widely used in the field of three-dimensional (3D) reconstruction owing to its relatively high matching accuracy. However, since all the weight coefficients need to be calculated in the whole disparity range for each pixel, the algorithm is extremely time-consuming. To solve this problem, a fast ASW algorithm is proposed using twice aggregation. First, a novel weight coefficient which adapts cosine function to satisfy the weight distribution discipline is proposed to accomplish the first cost aggregation. Then, the disparity range is divided into several sub-ranges and local optimal disparities are selected from each of them. For each pixel, only the ASW at the location of local optimal disparities is calculated, and thus, the complexity of the algorithm is greatly reduced. Experimental results show that the proposed algorithm can reduce the amount of calculation by 70% and improve the matching accuracy by 6% for the 15 images on Middlebury Website on average. © 2017, Tianjin University and Springer-Verlag Berlin Heidelberg.