Cross-Layer Optimization of Dynamic Packet Assignment for Video Transmission Over IEEE 802.11e Networks

Video transmission over IEEE 802.11e wireless networks still shows poor performance for large bandwidth demand and frequently changed environments. Thus, several enhancements of IEEE 802.11e were proposed. On the other hand, big frames and simultaneous sending of adjacent frames always cause packet dropping for buffer overflow. In the past, we proposed an IEEE 802.11e enhancement named DFAA and a content aware mechanism to solve the above problems. The motivation of this paper is to find a proper way to integrate these two mechanisms. A DFAA enhancement (DFAA-E) is proposed to make up the insufficiency of content aware mechanism. Experiments results show that the combination of DFAA-E and content aware mechanism improves the video decoded quality greatly. And its performance can be further enhanced by selecting the suitable settings of certain parameters.     

Predicting visual similarity between colour palettes

This work is concerned with the prediction of visual colour difference between pairs of palettes. In this study, the palettes contained five colours arranged in a horizontal row. A total of 95 pairs of palettes were rated for visual difference by 20 participants. The colour difference between the palettes was predicted using two algorithms, each based on one of six colour-difference formulae. The best performance (r² = 0.86 and STRESS = 16.9) was obtained using the minimum colour-difference algorithm (MICDM) using the CIEDE2000 equation with a lightness weighing of 2. There was some evidence that the order (or arrangement) of the colours in the palettes was a factor affecting the visual colour differences although the MICDM algorithm does not take order into account. Application of this algorithm is intended for digital design workflows where colour palettes are generated automatically using machine learning and for comparing palettes obtained from psychophysical studies to explore, for example, the effect of culture, age, or gender on colour associations.     

内嵌纳凝胶阴离子交换聚甲基丙烯酸羟乙酯复合晶胶分离苯乳酸研究

采用超声乳化聚合法制备了聚甲基丙烯酸丁酯纳凝胶，然后经结晶致孔法制备了内嵌纳凝胶的甲基丙烯酸羟乙酯纳晶胶，对其接枝功能单体N，N，N-三甲基乙烯基苯甲氯化铵，得到内嵌纳凝胶阴离子交换纳晶胶，用于从发酵液中分离苯乳酸。结果表明：所得纳晶胶具有良好的渗透性能和轴向分散性能，在流速为1 cm·min^-1时，不同配比纳晶胶对牛血清白蛋白的吸附容量为3.9~5.4 mg·ml^-1；将质量比为 8∶2（HEMA∶pBMA）的纳晶胶用于从转化液中分离苯乳酸，所得苯乳酸的纯度达89.24%，回收率93.74%，分离效果好，表明其在生物分离方面有良好的应用前景。     

Reoptimization framework and policy analysis for maritime inventory routing under uncertainty

We study a maritime inventory routing problem, in which shipments between production and consumption nodes are carried out by a fleet of vessels. The vessels have specific capacities and can be chartered under different agreements. The inventory levels of all consumption nodes and some production nodes should be maintained within specified bounds; for the remaining production nodes, orders should be picked up within pre-defined time windows. We propose a discrete-time mixed-integer programming model. In the face of new information and uncertainty, this optimization model has to be re-solved, as the horizon is rolled forward. We discuss how to account for different sources of uncertainty. We present a rolling-horizon reoptimization framework that allows us to study different policies that impact the quality of the implemented solution, so we can identify the optimal set of policies.     

Unveiling the role of Fe3O4in polymer spin valve near Verwey transition

The spinterface formed between ferromagnetic(FM)electrode and organic materials is vital for performance optimization in organic spin valve(OSV).Half-metallic Fe₃O₄with drastic change in structure,conductivity and magnetic property near Verwey transition can serve as an intrinsic spinterface regulator.However,such modulating effect of Fe₃O₄in OSV has not been comprehensively investigated,especially below the Verwey transition temperature(Tv).Here,we highlight the important role of Fe₃O₄electrode in reliable-working and controllable Fe₃O₄/P3HT/Co polymer spin valves by investigating the magnetoresistance(MR)above and below 7V.In order to distinguish between different contributions to charge transport and related MR responses,the systematic electronic and magnetic characterizations were carried out in full temperature range.Particularly,the first-order metal-insulator transition in Fe₃O₄has a dramatic effect on the MR enhancement of polymer spin valves at 7V.Moreover,both the conducting mode transformation and MR line shape modulation could be accomplished across 7V.This research renders unique scenario to multimodal storage by external thermodynamic parameters,and further reveals the importance of spin-dependent interfacial modification in polymer spin valves.     

水文序列相依变异识别的RIC定阶准则——以自回归模型为例

水文过程相依性是水文变异的主要表现形式之一,应用自回归模型对其进行拟合时合理确定模型阶数是一个难点问题。本文在分析AIC和BIC准则的基础上,提出了一种以原序列与其相依成分的相关系数作为拟合度指标,同时借用信息熵形式的函数式,作为模型不确定性度量指标的自回归模型定阶准则(简称RIC准则)。以AR(1)、AR(2)、AR(3)和AR(4)模型为例进行统计试验,将不同序列长度下该准则的定阶准确率与其他定阶准则进行比较,试验结果表明,RIC准则对于上述模型均具有较好的适应性,且定阶准确率远高于AIC准则,其中对于前三阶模型RIC准则优于BIC准则,但四阶模型略低于BIC准则。RIC准则的优势是可以同时满足模型定阶、相依程度分级与模型检验的需求,将其应用于实测水文序列分析,结果显示,该准则能较准确地识别自回归模型的阶数,且符合提出的"相依有变异而残差无变异的最小阶数"的检验标准。     

基于近红外光谱技术的马铃薯叶片含水率高效预测

提出了运用近红外光谱技术检测新鲜马铃薯叶片中含水量的方法，并通过预测结果和运算量的对比得出一种高效率的预测方法。采集了900～2100 nm波段范围内110个新鲜马铃薯叶片的光谱反射率信息，经SG（Savitzky-Golay）平滑、多元散射校正（MSC）和标准正态变量变换（SNV）3种预处理后，分别建立偏最小二乘回归（PLSR）模型和BP神经网络模型，再运用回归系数（regression coefficients, RC）法在全波段光谱中提取特征波长，同样经3种预处理后分别建立预测模型。结果表明：在运用光谱全波段信息构建的模型中，经多元散射校正（MSC）预处理建立的BP神经网络模型预测效果最好，预测集决定系数R²为0.9791，均方根误差RMSE为0.3723；在基于特征波长构建的模型中，经SG平滑预处理建立的神经网络模型预测效果最优，预测集决定系数R²为0.9658，均方根误差RMSE为0.4759；验证了特征波段结合BP神经网络建立的模型与全波段建立的模型预测结果相差不大，因而能够极大地减少运算量，提高预测效率。     

攀西钒钛磁铁矿尾矿制备储水泡沫陶瓷的研究

以攀西钒钛磁铁尾矿和废玻璃为主要原料通过高温烧结法制备储水泡沫陶瓷，研究原料配比和发泡剂（SiC）添加量对材料性能的影响。结果表明:随着钒钛磁铁矿尾矿含量的增加，材料的体积密度及抗压强度逐渐增大，平均气孔孔径逐渐减小；当尾矿添加量为50 wt%，材料的体积吸水率出现极值。当SiC添加量为0.3 wt%，材料内部气孔分布均匀，平均孔径约为2.93 mm。最终以50.0 wt%的钒钛磁铁矿尾矿和50.0 wt%的废玻璃为原料，外加3.0 wt%的石英，0.3 wt%的SiC，3.0 wt%的Na3PO4，在1040℃下制得性能最优的储水泡沫陶瓷，材料的体积密度为0.26 g/cm-3、体积吸水率为56.5%和抗压强度为0.68 MPa。采用SEM、XRD等检测手段研究材料的微观形貌及物相组成，结果表明储水泡沫陶瓷内部由三维立体结构组成，有利于储存水分；材料主要物相包括硅灰石、长石、透辉石和钛铁矿。      

1,5-己二烯交联烯烃聚合物的合成及其抗剪切稳定性

以金属配合物为催化剂、1,5-己二烯为交联剂,采用本体聚合法合成了交联超高相对分子质量烯烃类聚合物(简称交联聚合物)。用傅里叶变换红外光谱、核磁共振、凝胶渗透色潜表征交联聚合物的结构和相对分子质量。用旋转黏度计和超声波仪研究了1,5-己二烯用量对交联聚合物溶液表观黏度的影响及交联聚合物的相对分子质量对交联聚合物溶液抗剪切稳定性的影响。实验结果表明,在最佳聚合条件(单体80mL、助催化剂0．4mL、CS-1催化剂0．090g、1,5-己二烯0．40mL、0℃、24 b)下所合成的交联聚合物的重均相对分子质量为7．7×106,数均相对分子质量3．6×106。加入少量1,5-己二烯能提高交联聚合物的抗剪切能力,同时也能提高交联聚合物的相对分子质量。交联聚合物的相对分子质量越大,抗剪切稳定性越好。1,5-己二烯用量约为0．1 mL时(单体40 mL),交联聚合物溶液的表观黏度达到最大值(16．8 mPa·s)。