A global energy optimization framework for 2.1D sketch extraction from monocular images

The 2.1D sketch is a layered image representation, which assigns a partial depth ordering of over-segmented regions in a monocular image. This paper presents a global optimization framework for inferring the 2.1D sketch from a monocular image. Our method only uses over-segmented image regions (i.e., superpixels) as input, without any information of objects in the image, since (1) segmenting objects in images is a difficult problem on its own and (2) the objective of our proposed method is to be generic as an initial module useful for downstream high-level vision tasks. This paper formulates the inference of the 2.1D sketch using a global energy optimization framework. The proposed energy function consists of two components: (1) one is defined based on the local partial ordering relations (i.e., figure-ground) between two adjacent over-segmented regions, which captures the marginal information of the global partial depth ordering and (2) the other is defined based on the same depth layer relations among all the over-segmented regions, which groups regions of the same object to account for the over-segmentation issues. A hybrid evolution algorithm is utilized to minimize the global energy function efficiently. In experiments, we evaluated our method on a test data set containing 100 diverse real images from Berkeley segmentation data set (BSDS500) with the annotated ground truth. Experimental results show that our method can infer the 2.1D sketch with high accuracy.     

视觉传感网中基于二次规划的图像压缩感知

为降低视觉传感网络中图像压缩感知算法的计算复杂度,提出一种基于二次规划的网络图像恢复算法。该算法将压缩感知重构中的欠定线性方程组求解问题,转化为有界约束二次规划问题,在此基础上结合阿米霍步长准则,设计一种压缩感知图像恢复算法,通过求解二次规划问题对网络图像数据进行恢复。理论分析和仿真结果表明,与传统图像压缩感知算法相比,该算法可减少约1/3的图像数据恢复运算时间,且图像重构质量提高3 dB~6 dB,有效提高了视觉传感器网络图像恢复算法的实时性。     

基于NSST和RI-LPQ的纹理图像检索

针对采用单一方法提取图像特征时检索率不高的问题,结合非下采样剪切波变换(NSST)统计特征和旋转不变的局部相位量化(RI-LPQ)原理,提出一种纹理图像检索方法。非下采样剪切波不仅具有方向选择性及平移不变性,而且可以对图像进行有效的稀疏表示,与传统小波相比,可有效捕捉图像的边缘轮廓等纹理信息,与非下采样轮廓波相比,具有更高的计算效率。利用广义高斯分布函数对图像NSST高频子带系数的统计特征进行分析,RI-LPQ描述算子直接提取图像特征,采用具有权重系数的相似性测度公式对Brodatz图像库进行纹理图像检索。实验结果表明,与传统小波和轮廓波的方法相比,NSST统计特征方法的平均检索率分别提高4.77%和1.44%,纹理图像检索方法的平均检索率分别提高7.36%和1.98%。     

电动汽车机电复合制动力分配策略研究

为了实现再生制动力与机械制动力在驱动轮和从动轮之间的优化分配,在保证车辆制动安全的同时提高能量回收效率,将汽车理想制动力分配I曲线与模糊算法相结合,提出一种基于模糊控制的电动汽车机电复合制动力分配策略。设计了电动汽车再生制动力分配模糊控制器,根据车辆工况与理想制动力分配I曲线,计算前后轮上分别应加载的机电复合制动力大小。建立了电动汽车制动系统动力学仿真模型,在此基础上进行仿真分析。最后利用Advisor仿真软件对该分配策略进行回收能量效率测试。结果表明,该分配策略既能保证汽车前后轮的制动力分配按照理想制动力I曲线分布,确保汽车的制动安全;又能有效地实现再生制动能量回收,提高电动汽车的续驶里程。     

重要数据文件的恢复技术

在进行硬盘数据恢复时,如果每次都从头到尾地进行扫描,需要耗费大量的时间,而且恢复的数据大部分是不需要的。为了节约时间提高效率,应对特定的重要数据文件进行恢复。论文从硬盘启动及文件读写的原理出发,分析文件被修改或删除时操作系统所做的操作,对比分析文件分配表（FAT）和文件目录表（FDT）在特定文件修改或删除时产生的变化,针对现有的数据恢复技术无法自动恢复不连续簇文件的问题,通过FAT表内连续簇的分布规律来进行特定文件恢复,并在实验中进行验证。     

信管专业网络工程实践教学课程体系建设方案的探讨

针对实践教学在培养信管专业应用与创新人才方面具有的重要的作用,文章分析了信管专业网络工程实践教学课程体系的层次与内容、课程设置和教学过程中所遇到的问题,并提出解决应用型本科地方高等院校中信管专业网络工程实践教学课程体系建设方案的一种可行性思路。     

Chemical Composition Determination at the Bottom Region of a Recovery Boiler Furnace by Direct Minimization of Gibbs Free Energy

An optimization strategy has been applied to describe the chemical composition at the furnace bottom in the Kraft recovery boiler of a pulp production process. The concentrations of each involved chemical species were calculated through an optimization approach, minimizing the Gibbs free energy of the system. Various systems were proposed and tested, assuming different chemical species and phases number. Because serious initialization problems were found at this stage for some of the proposed systems, an optimization heuristic method (PSO) was used for the first approach to the problem. Once the appropriate phases number and chemical species in the system were determined, the initialization problems disappeared and the use of a deterministic optimization method (SQP) became viable. The proposed approach has shown to be satisfactory to reproduce industrial data and also data reported in the open scientific literature.     

Application of open-pit and underground mining technology for residual coal of end slopes

Given the conditions of residual coal from the boundary of a flat dipping open-pit mine,which uses strip areas mining and inner dumping with slope-covering,we propose an open-pit and underground integrated mining technology for residual coal of end slopes.In the proposal a conveyance road and ventilation conveyance near the slope are built,corresponding to the pit mining area and the surface coal mine dump,as well as an interval haulage tunnel and air-inlet tunnel.The outcome shows that such mining method may reduce the effect to slope stability from underground mining,it does not affect the dumping advance and has a high recovery rate of residual coal resources.The working face is timbered by single hydraulic props,transported by a scraper conveyor and supported by coal walls.This method of mining is one of layered top coal caving,with high resource recovery,low production cost where positive economic benefit can be realized.     

实时分布式系统性能测试技术研究

实时分布式系统的性能是关注核心,对其进行评估和测试关系着系统的应用前景。基于实时分布式系统的性能测试需求,对系统关键的处理性能、存储性能、传输性能以及实时恢复性能这四种性能测试方法进行了研究和探讨,同时分别利用实时分布式系统中e600架构的处理器、flash存储器、FC网络以及分区调度策略针对这些方法开展了测试,并对获得的测试结果进行了分析。分析结果表明,性能测试结果可信,方法可行,可作为实时分布式系统评测依据。     

基于自然最近邻的密度峰值聚类算法

针对密度峰值聚类算法(Density Peaks Clustering,DPC)需要人为指定截断距离d c,以及局部密度定义简单和一步分配策略导致算法在复杂数据集上表现不佳的问题,提出了一种基于自然最近邻的密度峰值聚类算法(Density Peaks Clustering based on Natural Nearest Neighbor,NNN-DPC)。该算法无需指定任何参数,是一种非参数的聚类方法。该算法首先根据自然最近邻的定义,给出新的局部密度计算方法来描述数据的分布,揭示内在的联系;然后设计了两步分配策略来进行样本点的划分。最后定义了簇间相似度并提出了新的簇合并规则进行簇的合并,从而得到最终聚类结果。实验结果表明,在无需参数的情况下,NNN-DPC算法在各类数据集上都有优秀的泛化能力,对于流形数据或簇间密度差异大的数据能更加准确地识别聚类数目和分配样本点。与DPC、FKNN-DPC(Fuzzy Weighted K-nearest Density Peak Clustering)以及其他3种经典聚类算法的性能指标相比,NNN-DPC算法更具优势。