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2015 Seventh International Conference on Measuring Technology and Mechatronics Automation最新文献

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Research on Terrain Visualization Based on LOD Dynamic 基于LOD动态的地形可视化研究
Jiang Yi, Liu Zhao
Aiming at the problem of the effect of changes of large scale terrain rendering on the frame rate, this paper presented a data dynamic scheduling method based on quaternary tree LOD model, and using the node traversal of quaternary tree with the GPU parallel acceleration node, Increasing the motion vector, the observation vector and the fluctuation degree of the ground as the judging factors to achieve fast rendering of large-scale terrain, applying the rule that the layers of the adjacent terrain being not more than one, to solve the crack problem that often appears in the rendering scene, to realize the function of the real-time dynamic 3D visualization of large-scale terrain scene of 3D GIS. The experimental results show that, the method accelerating terrain loading through coordination of CPU and GPU, making the process of terrain rendering have good real-time and stable frame rate.
针对大比例尺地形绘制变化对帧率的影响问题,提出了一种基于四元树LOD模型的数据动态调度方法,利用GPU并行加速节点对四元树进行节点遍历,增加运动矢量、观测矢量和地面起伏度作为判断因素,实现大比例尺地形的快速绘制。应用相邻地形层数不超过一层的规则,解决了绘制场景中经常出现的裂缝问题,实现了三维GIS大尺度地形场景的实时动态三维可视化功能。实验结果表明,该方法通过CPU和GPU的协同加速地形加载,使地形渲染过程具有良好的实时性和稳定的帧率。
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引用次数: 2
Shape Design and Aerodynamic Characteristics of Wind Turbine Blades Based on Energy Cost 基于能量成本的风力机叶片形状设计与气动特性
W. Xudong, Xia Hongjun
According to the energy yield of wind turbines, a new design method for optimizing wind turbine blades based on the aerodynamics is presented. The design object is the minimum cost of energy which is calculated from the Annual Energy Production (AEP) and the cost of the rotor. The design variables used in the current study are the chord and twist angle. The blade shape parameters and the loads of the blades are considered as the constraints. With the model in this paper, one 2 MW wind turbine rotor is designed. The aerodynamic characteristics of the designed rotor are simulated and plotted. To prove the reliability of the results, the comparison between the designed 2 MW rotor and one existing widely used 2 MW rotor is completed. The rated wind speed is reduced from the 15m/s to 12.8 m/s that displays the designed rotor has high power at the low wind speed. The maximum power coefficient is increased from 0.463 to 0.49 that can effectively improve the annual power generation.
根据风力机的发电量,提出了一种基于空气动力学的风力机叶片优化设计新方法。设计目标是根据年发电量(AEP)和转子成本计算出的最小能源成本。本研究中使用的设计变量是弦和扭角。考虑了叶片形状参数和叶片载荷作为约束条件。利用本文建立的模型,对一台2mw风力发电机组转子进行了设计。对所设计转子的气动特性进行了仿真和绘图。为了证明结果的可靠性,将所设计的2mw转子与现有广泛使用的2mw转子进行了比较。额定风速由15m/s降至12.8 m/s,表明所设计的转子在低风速下具有较高的功率。最大功率系数由0.463提高到0.49,可有效提高年发电量。
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引用次数: 1
The Test Pattern Generation for Digital Integrated Circuits Based on CA-IA-PSO Algorithm 基于CA-IA-PSO算法的数字集成电路测试图生成
Zhang Jiali, Zhang Lin, Yang Yun, Niu Tian-lin, Zhang Long, X. Xiaodong
In order to improve the ability to get rid of partial extreme spot and the diversity of population in evolution, the immunity mechanism of IA algorithm is imported into PSO algorithm to form IA-PSO algorithm. For the purpose of raising fault rate and shortening test pattern generation time, CA algorithm is imported into IA-PSO algorithm to form CAIA-PSO algorithm. Finally, adopting single stuck-at fault and using different algorithms to the simulation experiment of test pattern generation for digital integrated circuits, the result of the experiment is that CA-IA-PSO algorithm can solve the problem of test pattern generation more practically and efficiently, especially the bigger digital integrated circuits.
为了提高在进化过程中摆脱局部极值点和种群多样性的能力,将IA算法的免疫机制引入到粒子群算法中,形成IA-PSO算法。为了提高故障率和缩短测试模式生成时间,将CA算法引入到IA-PSO算法中,形成CAIA-PSO算法。最后,采用单卡故障并采用不同算法对数字集成电路测试图生成进行了仿真实验,实验结果表明,CA-IA-PSO算法能够更实际、更高效地解决测试图生成问题,尤其适用于规模较大的数字集成电路。
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引用次数: 2
Wavelet Traffic Detection Based on Variance 基于方差的小波流量检测
Zhang Yi, Mei Ting
This paper introduces in detail the realization principle and detection module, anomaly detection technology based on wavelet transform, the experimental results show that it is a effective method to detect traffic anomaly. But also can distinguish normal burst traffic and attack traffic, which improves the accuracy of alarm. But this method lower time complexity is also suitable for large flow of data processing.
本文详细介绍了基于小波变换的异常检测技术的实现原理和检测模块,实验结果表明它是一种有效的交通异常检测方法。还可以区分正常突发流量和攻击流量,提高了报警的准确性。但该方法时间复杂度较低,也适用于大流量的数据处理。
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引用次数: 0
A Hybrid Genetic Algorithm for Make-Up Examination Arrangement 补考安排的混合遗传算法
Sun Xuecheng
This paper presents a hybrid genetic algorithm to solve the make-up examination arrangement problem. The objective of make-up examination arrangement to minimize the number of classrooms is analyzed, and a greedy algorithm and an original mutation operator are devised to achieve this goal. This new operator, combined with a crossover and a local search operator which are used to minimize the number of timeslots, leads to a very powerful genetic algorithm. Experiment shows that the solutions of this hybrid genetic algorithm are of excellent quality, providing a theoretical foundation for the practical application.
提出了一种解决补考安排问题的混合遗传算法。分析了补考安排中教室数量最少的目标,设计了贪心算法和原始变异算子来实现这一目标。这种新算子与交叉算子和局部搜索算子相结合,使时隙数量最小化,从而形成了一种非常强大的遗传算法。实验表明,该混合遗传算法的解质量优良,为实际应用提供了理论基础。
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引用次数: 1
Wireless Sensor Network Locating Algorithm Based on Multi-dimensional Scaling Study 基于多维尺度的无线传感器网络定位算法研究
Guo Li, L. Lai
In the wireless sensor network monitoring activities, the sensor node location information is very important. To achieve node location information localization algorithm is adopted to estimate the better method. This article will mainly study the wireless sensor network localization algorithm based on multidimensional scaling, is proposed based on the Hop - Euclidean MDS - MAP (D) localization algorithm. It is not only improve the location accuracy, and it is conducive to the expansion of the network.
在无线传感器网络监测活动中,传感器节点的位置信息是非常重要的。为了实现节点的位置信息,采用了定位算法进行估计的较好方法。本文将主要研究基于多维尺度的无线传感器网络定位算法,提出了基于Hop -欧氏MDS - MAP (D)的定位算法。这不仅提高了定位精度,而且有利于网络的扩展。
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引用次数: 0
Image Restoration Algorithm of Smoothness Constraints Constructed by Adaptive Fuzzy Edge Evaluation Function 自适应模糊边缘评价函数构造平滑约束的图像恢复算法
Shi Ping
Image restoration is an important research field of image processing. The purpose of image restoration is to improve the observed visual effect of image to make it close to the original image. This paper proposes an image restoration algorithm of smoothness constraints constructed by adaptive fuzzy edge evaluation function. First, image degradation/restoration model is introduced, based on the degradation function to solve the ill-posed problem of image restoration. Then, with the process of iteration, more image details can be detected, while the algorithm adaptively produces a more reasonable smoothness constraints. This algorithm can base on restricted adaptive image restoration algorithm, by increasing the sophistication of weight to improve the recovery of adaptive control capabilities. Finally, an experiment can be conducted to prove the effectiveness and feasibility of the image restoration algorithm proposed in this paper.
图像恢复是图像处理的一个重要研究领域。图像恢复的目的是为了改善观察到的图像的视觉效果,使其接近原始图像。提出了一种基于自适应模糊边缘评价函数构造平滑约束的图像恢复算法。首先,引入了基于退化函数的图像退化/恢复模型,解决了图像恢复的不适定问题;然后,随着迭代的过程,可以检测到更多的图像细节,同时算法自适应地产生更合理的平滑约束。该算法可以在受限自适应图像恢复算法的基础上,通过增加权值的复杂度来提高自适应控制的恢复能力。最后通过实验验证了本文提出的图像恢复算法的有效性和可行性。
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引用次数: 1
A K-Means Clustering Algorithm Based on Double Attributes of Objects 基于对象双属性的K-Means聚类算法
Tu Linli, D. Yanni, Chu Siyong
The K-means clustering algorithm have played an important role in the data analysis, pattern recognition, image processing, and market research. Classical K-means algorithm randomly selected initial cluster centers, so that the clustering results unstable. In this paper, through deeply study on classical k-means algorithm, we proposed a new K - means algorithm of Clustering based on double attributes of objects. The algorithm is based on the dissimilarity degree matrix which generated by high density set to construct the Huffman tree, and then according to K value to select initial cluster centers points in the Huffman tree, using this method effectively overcomes the defects of classical K-means algorithm for clustering random selection caused the initial cluster centers result unstable defects. In this paper, the new algorithm uses two UCI data sets to validate. The results of experiment show that the new k-means algorithm can choose the initial cluster center of high quality stable, so as to get better clustering results.
K-means聚类算法在数据分析、模式识别、图像处理和市场研究中发挥了重要作用。经典K-means算法随机选择初始聚类中心,使得聚类结果不稳定。本文通过对经典K -means算法的深入研究,提出了一种新的基于对象双属性的K -means聚类算法。该算法基于高密度集生成的不相似度矩阵构造Huffman树,然后根据K值在Huffman树中选择初始聚类中心点,利用该方法有效克服了经典K-means算法进行聚类随机选择导致初始聚类中心结果不稳定的缺陷。本文采用两个UCI数据集对新算法进行验证。实验结果表明,新的k-means算法可以选择质量稳定的初始聚类中心,从而获得较好的聚类结果。
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引用次数: 3
Research and Implementation of Face Recognition System Based on Android 基于Android的人脸识别系统的研究与实现
Wang Xiang-gang
Represented by smartphone mobile terminal equipment, mostly for using Android system, with the development of modern electronic communication technology, the Android system of image acquisition and processing technology is also in constant progress. The face recognition system based on Android system, which is representative of it greatly expand the function of the use of the Android system. Human face recognition system using the promising prospects in the field of encryption, because of its unique advantages, will be used more and more. This article will mainly introduce the Android system, face recognition system, the characteristics of the processing model and realization process, expect to further promote mobile encryption technology, to provide some reference.
以智能手机为代表的移动终端设备,大多采用Android系统,随着现代电子通信技术的发展,Android系统的图像采集和处理技术也在不断进步。以Android系统为代表的人脸识别系统,它极大地扩展了Android系统的使用功能。人脸识别系统在加密领域有着广阔的应用前景,由于其独特的优点,将得到越来越多的应用。本文将主要介绍Android系统、人脸识别系统的特点、处理模型和实现过程,期望为进一步推广移动加密技术,提供一些参考。
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引用次数: 1
Emergency Supplies Scheduling Model 应急物资调度模型
Liu Yan-yan, Wang Jian-guo, Jian-guo
As an important part of emergency relief supplies, supplies scheduling model for the optimization of the incident emergency rescue is the important premise, the paper introduces aid scheduling model and algorithm analysis, make corresponding model for the aid of dispatching work smoothly to provide more convenient and optimization.
作为应急救援物资的重要组成部分,物资调度模型的优化是事件应急救援的重要前提,本文介绍了物资调度模型并对算法进行了分析,使相应的模型为物资调度工作的顺利进行提供了更多的便利和优化。
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引用次数: 0
期刊
2015 Seventh International Conference on Measuring Technology and Mechatronics Automation
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