关键词： Genetic algorithm   H2S removal   Mathematical modeling   Packed-bed column   Reactive absorption  

摘要： A rate-based mathematical model was developed for the reactive absorption of H2S in NaOH, with NaOCl or H2O2 as the chemical oxidant solutions in a packed column. A modified mass transfer coefficient in the gas phase was obtained by genetic algorithm and implemented in the model to correct the assumption of instantaneous reactions. The effects of different operating variables including the inlet H2S concentration, inlet gas mass flux, initial NaOH, concentrations of the chemical oxidants in the scrubbing solutions, and liquid-to-gas ratio on the H2S removal efficiency were studied. A genetic algorithm was employed to optimize the operating variables in order to obtain maximum removal efficiency of H2S. The model results were in good agreement with the experimental data.

关键词： Mathematical reasoning   Reasoning   Cognitive proficiency   Memory retrievala  

摘要： There are extensive concerns pertaining to the idea that students do not develop sufficient mathematical competence. This problem is at least partially related to the teaching of procedure-based learning. Although better teaching methods are proposed, there are very limited research insights as to why some methods work better than others, and the conditions under which these methods are applied. The present paper evaluates a model based on students' own creation of knowledge, denoted creative mathematically founded reasoning (CMR), and compare this to a procedure-based model of teaching that is similar to what is commonly found in schools, denoted algorithmic reasoning (AR). In the present study, CMR was found to outperform AR. It was also found cognitive proficiency was significantly associated to test task performance. However the analysis also showed that the effect was more pronounced for the AR group.(C) 2014 The Authors. Published by Elsevier Inc.

关键词： Adaptive visual tracking   Prioritized Q-learning   Markov decision process   Dynamic parameter optimization  

摘要： This paper introduces an adaptive visual tracking method that combines the adaptive appearance model and the optimization capability of the Markov decision process. Most tracking algorithms are limited due to variations in object appearance from changes in illumination, viewing angle, object scale, and object shape. This paper is motivated by the fact that tracking performance degradation is caused not only by changes in object appearance but also by the inflexible controls of tracker parameters. To the best of our knowledge, optimization of tracker parameters has not been thoroughly investigated, even though it critically influences tracking performance. The challenge is to equip an adaptive tracking algorithm with an optimization capability for a more flexible and robust appearance model. In this paper, the Markov decision process, which has been applied successfully in many dynamic systems, is employed to optimize an adaptive appearance model-based tracking algorithm. The adaptive visual tracking is formulated as a Markov decision process based dynamic parameter optimization problem with uncertain and incomplete information. The high computation requirements of the Markov decision process formulation are solved by the proposed prioritized Q-learning approach. We carried out extensive experiments using realistic video sets, and achieved very encouraging and competitive results. (C) 2014 Inha University. Published by Elsevier B.V.

关键词： Roadmaps   Real algebraic variety   Baby step-giant step  

摘要： Let be a real closed field and an ordered domain. We present an algorithm that takes as input a polynomial and computes a description of a roadmap of the set of zeros, of Q in The complexity of the algorithm, measured by the number of arithmetic operations in the ordered domain is bounded by where As a consequence, there exist algorithms for computing the number of semialgebraically connected components of a real algebraic set, whose complexity is also bounded by where The best previously known algorithm for constructing a roadmap of a real algebraic subset of defined by a polynomial of degree d has complexity.

关键词： Microgrid   Dynamic economic dispatch   Uncertainty   Improved particle swarm optimization   Monte Carlo simulation   Operation scheduling strategies  

摘要： Dynamic economic dispatch of a microgrid is better suited to the requirements of a system in actual operation because it not only considers the lowest cost in a scheduling cycle but also coordinates between different distribution generations (DGs) over many periods. So it is very significant to research the dynamic economic dispatch of a microgrid. Since wind energy and solar energy are subject to random variations and intervals, there is great difficulty in solving the dynamic economic dispatch. In this paper, we establish a combined heat and power (CHP) microgrid system which includes wind turbines (WT), photovoltaic arrays (PV), diesel engines (DE), a micro-turbine (MT), a fuel cell (FC) and a battery (BS). Comprehensively considering the operation cost and the pollutant treatment cost of the microgrid system, we choose the maximum comprehensive benefits as the objective function for the dynamic economic dispatch. At the same time, we establish the spinning reserve probability constraints of the microgrid considering the influence of uncertainty factors such as the fluctuation of the renewable energy, load fluctuation error, and fault shutdown of the unit. Also researched are four different operation scheduling strategies under grid-connected mode and island mode of the microgrid. An improved particle swarm optimization (PSO) algorithm combined with Monte Carlo simulation is used to solve the objective function. With the example system, the proposed models and improved algorithm are verified. When the microgrid is running under the grid-connected mode, we discuss the influence of different scheduling strategies, optimization goals and reliability indexes on the dynamic economic dispatch. And when the microgrid is running under the island mode, we discuss the influence of the uncertainty factors and the capacity of the battery on the dynamic economic dispatch. The presented research can provide some reference for dynamic economic dispatch of microgrid on making fu

关键词： 数学形态学   幂变换   颜色空间   matlab  

摘要： 证明了颜色空间与RGB颜色空间可以互逆转换并且时间效率高、对亮度分量单独处理后再转换回RGB颜色空间能够保持原始图像的色调不变;提出了一种基于数学形态学开运算和幂变换的彩色图像增强算法,实验结果表明该算法能够有效地增加图像动态范围,恢复图像中过暗区域内容的细节,并且能够保持图像的色调不发生变化。

关键词： Road alignments   Highway design   Segmentation   Spline  

摘要： This paper presents a methodology that allows the identification of the road alignments (curves, straights and clothoids) and their corresponding values of curvature based on a list of points with UTM coordinates obtained from field data. The procedure reconstructs the geometry of a road using a cubic spline that gives the road's singular points, geographically referenced, with the curvature values for each element. The methodology allows the user to select different parameters depending on the road type analyzed. It was applied in almost 1500 km of road with satisfactory results. The results of applying the methodology on a recently built road (whose alignments according to its project are known) are shown. A comparison of the project alignments with the alignments obtained according to the proposed method gives good results with small errors relative values, with maximum values of less than 4%. (C) 2014 Elsevier B.V. All rights reserved.

关键词： 视网膜图像   血管提取   高帽变换  

摘要： 目的影像中血管的分割与特征提取,对疾病的早期诊断具有重要意义。针对很多视网膜血管提取算法分割精度不高的问题,提出了运用数学形态学中的高帽变换的方法对其进行检测。方法首先,选取结构元素为"圆盘形"的形态学对图像进行高帽变换,经过高帽变换后的图像平滑了图像的背景,同时增强了血管在图像中的对比度。其次,对变换后的图像利用Otsu's自动分割法对图像进行阈值分割得到血管的二值图像。再次,根据血管在图像中的结构信息和几何信息,利用基于连通域度量的方法,设置连通域的"面积"和"长宽比"两个阈值,去除虚假目标。最后,为保持血管的连续性,对图像进行一次膨胀运算,可将断裂的血管连接起来,减小了实验的误差。结果通过上述步骤实现了对血管的提取。结论结果表明,本文算法能有效提取视网膜眼底图像的血管网络,有较强的分割精度。

关键词： 高职   计算机专业   数学教学改革   算法思维  

摘要： 分析了高职计算机专业数学教学现状及存在的问题.在此基础上,对基于算法思维的计算机专业数学课程内容的设置、教学方法的改革进行了探讨,以培养学生解决问题的数学思维能力和算法思维能力,实现数学与计算机专业教学的有机融合,提升教学质量.

关键词： 量子进化算法   实数编码量子进化算法   模态区间数学   航空发动机   总体性能   不确定性  

摘要： 本文将实数编码量子进化算法和模态区间数学相结合用于解决模态区间数学中的某些难以求解的问题。应用量子进化算法进行了模态区间数学方程组的求解和模态区间矩阵的求逆,将量子进化算法和模态区间数学用于航空发动机的设计,给出了基于模态区间数学的航空发动机总体性能设计方法。这种设计方法能够考虑设计的不确定性。并以某型涡喷发动机为例进行计算,设计结果更符合实际情况。