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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 the Wheel System Fault Diagnosis of Special Vehicle Based on Wavelet Packet-AR Model Spectrum Technique 基于小波包- ar模型谱技术的特种车辆车轮系统故障诊断研究
Lin Guangfeng, Liu Yang, Guo Yingchun, Zhang Fulong, Wang Tao
Wavelet packet autoregressive spectrum technique are used to analyze the steady and unsteady vibration signals of vehicle wheel system, extracts the fault characteristics of special vehicle wheel system, and realize the extraction of the fault characteristics of analysis object. By analyzing the fitting clearance of wheel system gears, discriminates the fault phenomenon of vehicle wheel system, provides important supports for the maintenance of special vehicle wheel system. Experiments show that this method can realize the fault diagnosis of wheel system for special vehicle equipments and fast on-line measurement, and provide strong support to maintain the intact rate of equipments.
采用小波包自回归谱技术对车辆车轮系统的稳态和非稳态振动信号进行分析,提取专用车辆车轮系统的故障特征,实现对分析对象的故障特征提取。通过分析车轮系统齿轮的配合间隙,识别车辆车轮系统的故障现象,为专用车辆车轮系统的维修提供重要支持。实验表明,该方法能够实现特种车辆设备车轮系统的故障诊断和快速在线检测,为保持设备的完成率提供有力支持。
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引用次数: 0
Structure Optimization for the Grain of Solid Rocket Motor 固体火箭发动机颗粒结构优化
Liu Yang, S. Jiuling, Cai Qiang, Bao Futing, Hui Weihua
In order to coordinate the many design parameters of the solid rocket motor (SRM) grain to get a better performance. A structure optimization method based on variation sketch and genetic optimization algorithm is proposed. Then by choosing a slotted-tube grain as the example, corresponding structure parameters optimization processes show the efficiency and convenience of this advanced structure optimization method. The objective function of SRM internal ballistics curves are converged after about 500 generations' evolution. The SRM internal ballistics curves comparison with initial one and optimized one also shows that the fluctuation range of the internal ballistics curve is reduced from about 20% to 8%. This is helpful to reduce the negative weight of SRM and improve its performance. It proves the accuracy of this grain design and optimization method.
为了协调固体火箭发动机(SRM)的众多设计参数,以获得更好的性能。提出了一种基于变异草图和遗传优化算法的结构优化方法。并以开槽管晶粒为例,进行了相应的结构参数优化过程,验证了该先进结构优化方法的有效性和便捷性。经过约500代的演化,SRM内弹道曲线的目标函数趋于收敛。对初始和优化后的SRM内弹道曲线进行了对比,结果表明,优化后的SRM内弹道曲线波动幅度由20%左右减小到8%左右。这有助于降低SRM的负重量,提高SRM的性能。验证了该颗粒设计与优化方法的准确性。
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引用次数: 1
The Analog Front End of Ultra-High Resolution CCD Design Based on AD9920A 基于AD9920A的超高分辨率CCD模拟前端设计
Li Zhiyong, Yuan Weihua, Dai Xiance
A kind of the analog front end design method for the ultra-high resolution CCD was put forward. According to characteristics of CCD KAF-39000 in the still capture, the CCD driver state flow was designed. Two AD9920A chips were used to digitize right and left half frames of the analog image synchronously. One AD9920A which was as the master timing controller generated programmable horizontal and vertical driver clocks for KAF-39000. These driver clocks were made up of four class timing patterns based on AD9920A. FPGA converted AD9920A output clocks to standard digital image interface clocks for digital image acquisition. Experiments show that the AFE circuit system can output good raw image, its frame time, output noise and the dynamic range are 1100ms, 2.12@12bit and 65.7dB, respectively. The Bayer Color image is reconstructed in the FPGA by the color interpolation algorithm based on color difference space and edge detection technique. With better flexibility and extendibility, this design method can be widely used in more ultra-high resolution imaging fields like remote sensing detection and optical measuring.
提出了一种超高分辨率CCD的模拟前端设计方法。根据CCD KAF-39000静态采集的特点,设计了CCD驱动状态流。采用两个AD9920A芯片对模拟图像的左右半帧进行同步数字化。一个AD9920A作为主定时控制器,为KAF-39000生成可编程的水平和垂直驱动时钟。这些驱动时钟由基于AD9920A的四种时序模式组成。FPGA将AD9920A输出时钟转换为标准数字图像接口时钟,用于数字图像采集。实验表明,该AFE电路系统可以输出良好的原始图像,其帧时间为1100ms,输出噪声为2.12@12bit,动态范围为65.7dB。利用基于色差空间的颜色插值算法和边缘检测技术,在FPGA中重构拜耳彩色图像。该设计方法具有较好的灵活性和可扩展性,可广泛应用于遥感探测、光学测量等超高分辨率成像领域。
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引用次数: 1
Vegetable Price Prediction Based on PSO-BP Neural Network 基于PSO-BP神经网络的蔬菜价格预测
Ye Lu, Lin Yuping, L. Weihong, Song Qi-dao, Li Yanqun, Qin Xiaoli
In order to predict vegetable price accurately, 117 sets of green pepper and related factors price data from 2012 to 2015 in Dan Zhou city were selected as the sample data, of which 100 groups were training data and 17 groups were test data. Based on analyzing fluctuant features of vegetable price, with the global stochastic optimization idea to optimize initial weights and thresholds of back propagation (BP) neural network, the PSO-BP prediction model concerning vegetable retail price was set up by using the particle swarm optimization (PSO) algorithm. The experimental results indicated that compared with the traditional BP method, the PSO-BP method could overcome the over-fitting problem and the local minima problem, effectively reduced training error and increased the predicting precision.
为了准确预测蔬菜价格,选取儋州市2012 - 2015年117组青椒及相关因素价格数据作为样本数据,其中100组为训练数据,17组为检验数据。在分析蔬菜价格波动特征的基础上,采用全局随机优化思想优化BP神经网络的初始权值和阈值,采用粒子群优化算法建立了蔬菜零售价格的PSO-BP预测模型。实验结果表明,与传统BP方法相比,PSO-BP方法克服了过拟合问题和局部极小问题,有效降低了训练误差,提高了预测精度。
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引用次数: 15
Ghost Detection and Removal Method Based on Edge Histogram Contrast 基于边缘直方图对比度的鬼影检测与去除方法
Liuhongdan, Jiangfeipeng
In intelligent video surveillance system, moving target detection and follow-up moving target tracking, due to the existence of ghost, will be affected. Therefore, this paper proposes a ghost detection and removal method based on edge histogram contrast. The ghost can be rapidly and effectively detected and removed by this method. Meanwhile, it is able to overcome the difficulty of ghost detection in regions with crowded moving targets. It is also beneficial to background update and follow-up target tracking and identification.
在智能视频监控系统中,由于鬼影的存在,对运动目标的检测和后续跟踪都会受到影响。为此,本文提出了一种基于边缘直方图对比度的幽灵检测与去除方法。该方法可以快速有效地检测和去除鬼影。同时,克服了在运动目标密集区域的幽灵检测困难。也有利于后台更新和后续目标跟踪识别。
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引用次数: 0
Case Study on the Optimization of Construction Scheme Based on Reasonable Cost 基于合理成本的施工方案优化实例研究
Du Zuqi, Zhao Qiuhong
With the continuous improvement of the efficiency of construction, many companies attach more importance to construction period and building exterior than rationality of the project cost, which leads to more and more unreasonable engineer design and construction progress so that increase the building cost. In this paper, a company in the construction of a road instance, based on a reasonable cost basis, using the multi-program comparison, improve construction program. By discussing this paper, aimed at improving the design and construction and other projects related to raising awareness of cost control units, in order to improve economic efficiency of enterprises.
随着施工效率的不断提高,许多企业更重视工期和建筑外观,而不是工程造价的合理性,这导致越来越多的工程师设计和施工进度不合理,从而增加了建筑成本。本文以某公司某公路施工为例,在合理的造价基础上,采用多方案比较,改进施工方案。通过本文的探讨,旨在提高设计和施工等相关工程单位的成本控制意识,以提高企业的经济效益。
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引用次数: 0
A Methodology for Automatically 3D Geological Modeling Based on Geophysical Data Grids 基于地球物理数据网格的自动三维地质建模方法
Xiangyu Yu, Yixian Xu
Using 3D visualization models to exhibit geological structure has become a trend in geological studies. Compared to 2D geological mapping, 3D geological modeling is dependent on more geological sampling information. In many cases, however, the geological sampling information is difficult to acquire by drilling (especially for deep subsurface information). Geophysical methods (e.g., Gravity, seismic, and electric) have become the major tools in geological modeling. Because the geophysical data are recorded in a data grid, people must extract the geological information from various data grids acquired through different geophysical methods and subsequently integrate the information to manually construct a 3D geological model. This approach usually causes inconvenience and inefficiencies in practice. Therefore, we propose a methodology of automatically 3D geological modeling based on geophysical data grids. The method first constructs visualization models from different geophysical data grids and subsequently integrates these models for interpretation using mapping rules learned from physical properties of rock samples measured in a laboratory and finally converts the interpreted visualization model to a 3D geological model. With the application in the practical work, the result demonstrates that the methodology can effectively solve problems of 3D geological modeling in the case of enriched geophysical data lacking sufficient geological sampling information.
利用三维可视化模型来展示地质构造已成为地质研究的一个趋势。与二维地质填图相比,三维地质建模依赖于更多的地质采样信息。然而,在许多情况下,地质采样信息很难通过钻探获得(特别是深层地下信息)。地球物理方法(如重力、地震和电)已成为地质建模的主要工具。由于地球物理数据是以数据网格形式记录的,因此人们必须从不同地球物理方法获取的各种数据网格中提取地质信息,然后将这些信息进行整合,人工构建三维地质模型。这种方法在实践中通常会造成不便和效率低下。为此,提出了一种基于地球物理数据网格的自动三维地质建模方法。该方法首先从不同的地球物理数据网格构建可视化模型,然后利用从实验室测量的岩石样品的物理性质中学到的制图规则将这些模型整合起来进行解释,最后将解释的可视化模型转换为三维地质模型。在实际工作中的应用表明,该方法能有效解决物探数据丰富、地质采样信息不足的情况下的三维地质建模问题。
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引用次数: 0
Research on In-Memory Computing Model and Data Analysis 内存计算模型与数据分析研究
Wu Jun, Huang Zhixiong
The ever-increasing Big Data is acclaimed, and the key point of Big Data is data analysis. However focusing on the Big Data with dynamic and multiple-dimensional characteristic is difficult to obtain reliable and accurate analytical results by the traditional data analysis methods. Therefore this is an important opportunity and great challenge for the data analysis methods to be developed. This paper aims to make an important research and investigation of the multiple correlation analysis for dynamic Big Data. The paper is expected to reveal the multiple correlation analysis for dynamic Big Data. On one hand this paper research achievements would provide a scientific basis for multiple correlation analysis and revelation of the objective law in Big Data area. On the other hand it is also an important implication for sustainable development of Big Data.
不断增长的大数据备受推崇,而大数据的关键点在于数据分析。然而,针对具有动态性和多维性的大数据,传统的数据分析方法难以获得可靠、准确的分析结果。因此,这对数据分析方法的发展是一个重要的机遇和巨大的挑战。本文旨在对动态大数据的多重相关分析进行重要的研究和探讨。本文旨在揭示动态大数据的多重相关分析。一方面,本文的研究成果将为多重关联分析和揭示大数据领域的客观规律提供科学依据。另一方面,这也是大数据可持续发展的重要内涵。
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引用次数: 0
Control Methods of Traffic Congestion Based on Drivers' Behavior Characteristics 基于驾驶员行为特征的交通拥堵控制方法
Qin Shouming, H. LiWei, D. Xiaoyang
For the purposes of improving the traffic environment in Kunming and the road traffic congestion control theory, this paper will analyze the interactions between driver's behavior characteristics and traffic congestion driving interactions. We've deeply analyzed the causes of traffic congestion with the thoughts of qualitative research and quantitative research and explored the formation process of congestion. Treating Kunming of Yunnan Province as a model, drivers' psychological changes and driving habits are discussed in this paper, meanwhile, the control methods of traffic congestion will also be put forward. This paper intends to provide a reference for the enhancement of traffic conditions in Kunming and the achievement of unblocked traffic project.
为了改善昆明市的交通环境,结合道路交通拥堵控制理论,本文将分析驾驶员行为特征与交通拥堵驾驶交互之间的相互作用。运用定性研究与定量研究相结合的思路,深入分析了交通拥堵的成因,探讨了交通拥堵的形成过程。本文以云南省昆明市为例,探讨了驾驶员的心理变化和驾驶习惯,同时提出了交通拥堵的控制方法。本文旨在为昆明市改善交通条件,实现交通畅通工程提供参考。
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引用次数: 1
Research on Internet Virtual Property 网络虚拟财产研究
Wang Lin
Virtual world is developed with each passing days at this moment, while there is not a clearly definition and stipulation of the law upon the virtual property emerging at the same time. The virtual property is exposed to the threats in the aspects of economy, society and law, it is being isolated from the future. This Paper is aimed at discussing the issues concerning the ownership, management and inheritance, proposing the amendment to the "Real Right Law", "Inheritance Law" and other relevant laws and addressing, as soon as possible, the issues concerning the inheritance and hinders of virtual property in the aspects of scope definition, saving, management and division, etc.
当前,虚拟世界正在飞速发展,而与此同时出现的虚拟财产却没有一个明确的法律定义和规定。虚拟财产在经济、社会和法律等方面都面临着威胁,正在与未来隔绝。本文旨在探讨虚拟财产的所有权、管理和继承问题,提出修改《物权法》、《继承法》等相关法律的建议,尽快解决虚拟财产在范围界定、保存、管理、分割等方面的继承和阻碍问题。
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引用次数: 0
期刊
2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)
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