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2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)最新文献

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Research on Wireless and Adaptive Greenhouses Monitoring System Based on ZigBee Technology 基于ZigBee技术的无线自适应大棚监控系统研究
Liu Yinghui, Deng Genqing
According to siphonic bedpan's work principle, siphonic bedpan with variational section flow channel is put forwards into application in this paper. Structure design optimization of siphonic bedpan's flow channel is discussed. Based on making use of Pro/E to conduct the parametrization modeling of the siphonic bedpan (the constant section bedpan and the variational section bedpan), and then adopt ADINA to simulate the flow field in the siphonic bedpan with not taking the filth into consideration. The calculation results of the numerical simulation demonstrate that variational section bedpan is better than the constant section bedpan in flushing and saving water. The results indicates the adoption of ADINA software to carry out sanitary implement's numerical simulation can improve the accuracy of the bedpan design and manufacturing consumedly, provides a theories analysis foundation for the engineering, design and application of bedpan.
根据虹吸便盆的工作原理,提出了变截面流道虹吸便盆的应用。讨论了虹吸便盆流道的结构设计优化。在利用Pro/E对虹吸管便盆(定截面便盆和变截面便盆)进行参数化建模的基础上,采用ADINA对不考虑污物的虹吸管便盆内流场进行模拟。数值模拟计算结果表明,变截面便盆在冲水和节水方面优于定截面便盆。结果表明,采用ADINA软件进行卫生便盆的数值模拟,可以大大提高便盆设计和制造的精度,为便盆的工程化、设计和应用提供理论分析基础。
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引用次数: 0
Analysis of Wind Loads Acting on Large Span Double-Arched Roof Structure with Opening Ends 大跨度开口双拱屋盖结构风荷载分析
Li Xiaorun, Song Bo
Due to the complexity of large span double-arched roof structure, Chinese load codes are not enough for the design. Other method should be used to ascertain the wind load on the roof structure. Computational fluid dynamic (CFD) is a newly developed research method for wind loads. The distribution of wind pressure and wind environment on the roofs of large span double-arched structure were computed based on ANSYS-CFX12 software platform with Reynolds stress model(RSM). By the simulation, the unfavorable wind shape coefficient is obtained which help the designer to enhance the key component for the safety of the serviceability performance.
由于大跨度双拱屋盖结构的复杂性,我国的荷载规范不足以满足设计要求。应采用其他方法确定屋面结构的风荷载。计算流体力学(CFD)是一种新兴的风荷载研究方法。基于ANSYS-CFX12软件平台,采用雷诺应力模型(RSM)计算了大跨度双拱结构屋面的风压分布和风环境。通过仿真,得到了不利风形系数,为设计人员提高关键部件的安全使用性能提供了依据。
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引用次数: 0
A Research on Financing Structure and Profitability of Listed SMEs Based on the Hunan Listed Company Data Analysis 基于湖南上市公司数据分析的上市中小企业融资结构与盈利能力研究
Yi Jianzhong, Pi Jundan
On the basis of analyzing the financing structure and current profitability of listed SMEs in Hunan, empirical analysis of the impacts that the financing structure make on profitability of Hunan listed SMEs will be given in this paper, the results of which indicate that their financing structures play a negative role in their profitability and their financing structures are irrational.
本文在分析湖南上市中小企业融资结构和盈利能力现状的基础上,实证分析了融资结构对湖南上市中小企业盈利能力的影响,结果表明湖南上市中小企业融资结构对盈利能力具有负向作用,融资结构不合理。
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引用次数: 0
Medical Image Registration Algorithm Based on Compressive Sensing and Scale-Invariant Feature Transform 基于压缩感知和尺度不变特征变换的医学图像配准算法
Y. Sa
A registration algorithm based on compressive sensing theory and SIFT(Scale-Invariant Feature Transform) is proposed. By the sparse feature representation methods, the feature vector of SIFT is extracted and the high-dimensional gradient derivative is decreased to low-dimensional sparse feature vector. Accordingly, Euclidean distance is introduced to compute the similarity and dissimilarity between feature vectors used for image registration and BBF(Best-Bin-First) data structure is used to avoid exhaustion. The experimental results show that the proposed algorithm has better performance than the traditional SIFT algorithm. Comparing with the current modified SIFT algorithms, the real-time performance of the proposed algorithm is improved obviously.
提出了一种基于压缩感知理论和SIFT(Scale-Invariant Feature Transform)的配准算法。通过稀疏特征表示方法提取SIFT特征向量,将高维梯度导数降为低维稀疏特征向量。因此,引入欧氏距离来计算图像配准所使用的特征向量之间的相似度和不相似度,并使用Best-Bin-First数据结构来避免耗尽。实验结果表明,该算法比传统的SIFT算法具有更好的性能。与现有的改进SIFT算法相比,该算法的实时性有明显提高。
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引用次数: 2
A Novel Sports Video Background Segmentation Algorithm Based on Graph Partition 一种新的基于图分割的体育视频背景分割算法
Zhan Jia-Wen
In this paper, we propose a novel sports video background segmentation algorithm based on graph partition, and this topic is very important in multimedia processing and retrieval. Firstly, we illustrate the graph partition problem, which aims to divide a graph into several parts under some constraints. Furthermore, a cost function in the graph partition problem is defined. Secondly, sports video background segmentation algorithm based on graph partition is provided. Particularly, the main innovation of this paper lies in that we introduce the graph partition algorithm, and we convert the image segmentation problem to an energy minimization problem. In the end, experiments are conducted to make performance evaluation, and the Olympic Sports Dataset is used. Experimental results show that compared with existing methods, our algorithm can achieve high quality of sports video background segmentation.
本文提出了一种基于图分割的体育视频背景分割算法,该算法在多媒体处理和检索中具有重要意义。首先,我们阐述了图的划分问题,该问题的目的是在一定的约束条件下将一个图分成若干部分。在此基础上,定义了图划分问题中的代价函数。其次,提出了基于图分割的体育视频背景分割算法。本文的主要创新点在于引入了图分割算法,将图像分割问题转化为能量最小化问题。最后,利用奥林匹克运动数据集(Olympic Sports Dataset)进行实验进行性能评价。实验结果表明,与现有方法相比,我们的算法可以实现高质量的体育视频背景分割。
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引用次数: 1
Influence of Seismic Wave Frequency on Wave Passage Effect of Plane Frame 地震波频率对平面框架通波效应的影响
Wang Yingli, Liu Tielin, Liu Hong, Cui Xu
The plane frame structure of three-span, six-story reinforced concrete structure, is adopted to study whether wave passage effect should be considered in the seismic responses of frame structures or not. The influence factors of seismic wave's frequency and wave passage effect on the structure are studied. The earthquake responses of the frame structure to wave passage excitations and uniform excitations are computed respectively for the class III site seismic wave by using Midas Gen software. The results of column shear forces obtained from the wave passage excitations are compared with those of the uniform excitations. And the frequencies of seismic waves are analyzed. Numerical results showed that wave passage effect caused the shear force of the first-story column facing the seismic wave to increase remarkably for the plane frame structures. For the seismic waves with wave passage effect, the main peaks of frequency amplitude spectrum of seismic wave arise in low frequency domain.
以三跨六层钢筋混凝土结构平面框架结构为研究对象,研究框架结构在地震反应中是否应考虑波束效应。研究了地震波频率和穿越效应对结构的影响因素。采用Midas Gen软件分别计算了III类场地地震波下框架结构在通道激励和均匀激励下的地震反应。并与均匀激励下的柱剪力计算结果进行了比较。对地震波的频率进行了分析。数值计算结果表明,波浪通道效应使平面框架结构面对地震波的第一层柱剪力显著增大。对于具有过波效应的地震波,地震波频率幅值谱的主峰出现在低频域。
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引用次数: 0
Research on Application of Visualized Data Mining Technology 可视化数据挖掘技术的应用研究
Zhang Ben-wen
Firstly, the concepts and classification about visualized data mining technology have been elaborated in this paper, then the technology of data mining, data visualization and regression analysis are discussed, Finally, combined with the example of sliding bearing wear coefficient test, using data mining, data visualization and regression analysis technology, this paper design a system to implement visualized data mining technology under the web environment.
本文首先阐述了可视化数据挖掘技术的概念和分类,然后讨论了数据挖掘、数据可视化和回归分析技术,最后结合滑动轴承磨损系数测试实例,利用数据挖掘、数据可视化和回归分析技术,设计了一个在web环境下实现可视化数据挖掘技术的系统。
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引用次数: 0
Comprehensive Evaluation and Analysis Method for Carrying Capacity of Water Resource Based on Neural Network 基于神经网络的水资源承载力综合评价分析方法
W. Jianjun
Based on the combination of genetic algorithm and BP artificial neural network, this paper proposes a novel method that combines the improved GA and ANN to evaluate the carrying capacity of water resource. This method was applied to Huaihe River basin carrying capacity of water resources, from the experiment results, we can draw a conclusion that the method proposed in this paper is feasible. It takes a new way to analyze the carrying capacity of water resources.
在遗传算法与BP人工神经网络相结合的基础上,提出了一种将改进遗传算法与人工神经网络相结合的水资源承载力评价方法。将该方法应用于淮河流域水资源承载力,从实验结果可以得出结论,本文提出的方法是可行的。这为水资源承载力分析提供了一种新的思路。
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引用次数: 1
Analytic Method for Treating Data of Liquid Limit and Plastic Limit 液限、塑限数据的解析处理方法
Xiao Dong-Zhang, Jian Qiao-Li, Zou Meng
Analytic method was one of treating the test data of liquid and plastic limit combined test. On the basis of analytic method, a "Liquid Limit and Plastic Limit Data Treating System" was developed using the object-oriented visual programming tool Microsoft Visual C++6.0. Flowchart and pseudo code of liquid and plastic treating procedure corresponding to "JTG E40-2007, cone penetrator 100g" was showed that switch statement and if statement were the main algorithm of treating procedure. Second level select nested structure was taken as main structure frame of treating procedure. In order to test and verify the validity of this treating system. The original data of liquid and plastic limit were received from liquid and plastic limit combined test and the original data was treated with Excel software and liquid limit and plastic limit data treating system. The comparison indicated that liquid limit and plastic limit data treating system improved efficiency and accuracy evidently.
解析法是处理液塑极限联合试验数据的一种方法。在分析方法的基础上,利用面向对象的可视化编程工具Microsoft visual c++ 6.0开发了“液限塑限数据处理系统”。给出了《JTG E40-2007,锥形穿甲器100g》对应的液塑处理程序流程图和伪代码,其中开关语句和if语句是处理程序的主要算法。二级选择嵌套结构作为处理程序的主要结构框架。为了测试和验证该处理系统的有效性。液塑限联合试验获得液塑限原始数据,用Excel软件和液塑限数据处理系统对原始数据进行处理。结果表明,液限和塑限数据处理系统明显提高了效率和准确性。
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引用次数: 0
Spatial Growth Models with Random Node Failures 随机节点失效的空间增长模型
W. Wenjun
Ad-hoc network is an important applied branch of scale-free networks, which has been widely studied. In this paper, insertions and failures of nodes in ad-hoc networks are modeled in spatial growth models. The preferential attachment probability is based on the topological degree and modulated by a Euclidean distance dependent power-law function. Node failures are represented by random node deletions in the model. Degree distributions of the proposed spatial growth models for ad-hoc networks are evaluated. The results show that both the Euclidean distance dependent preferential attachment and the random node deletion can change the degree distribution. When the distance exponent is smaller than-1 or the deletion ratio is larger than 0.5, the network is not scale-free any more, and the degree distribution follows the exponential decay law. The varying of the average degree of the node with time is also evaluated. The results show that, irrelevant to the distance exponent, the average degree can achieve a convergent value for each value of the deletion ratio and simulation results match calculated values completely.
自组网是无标度网络的一个重要应用分支,得到了广泛的研究。本文用空间增长模型对自组织网络中节点的插入和失效进行了建模。优先附着概率基于拓扑度,由依赖于欧氏距离的幂律函数调制。节点故障由模型中的随机节点删除表示。评价了所提出的ad-hoc网络空间增长模型的程度分布。结果表明,依赖于欧氏距离的优先连接和随机节点删除都能改变度分布。当距离指数小于-1或缺失比大于0.5时,网络不再是无标度的,度分布遵循指数衰减规律。计算了节点的平均度随时间的变化。结果表明,在与距离指数无关的情况下,平均度对删除率的每个值都能达到一个收敛值,仿真结果与计算值完全吻合。
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2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)
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