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2013 IEEE International Conference on Information and Automation (ICIA)最新文献

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Research on improving fairness of Linux scheduler 提高Linux调度程序公平性的研究
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720333
Wenbo Wu, Xinyu Yao, Wei Feng, Yong Chen
The Operating System scheduler is designed to allocate the CPU resources appropriately to all processes. The Linux Completely Fair Scheduler (CFS) design ensures fairness among tasks using the thread fair scheduling algorithm. This algorithm ensures allocation of resources based on the number of threads in the system and not within executing programs. Fairness issue of the CFS used in Linux kernel comes up due to the fact that programs with higher number of threads are favored by the scheduler, which based on the number of threads in the system. A novel algorithm as well as its implementation through optimized procedure is proposed as a solution to achieving better fairness by punishing greedy-threaded programs. Several tests are conducted to illustrate fairness issue and to examine the effect of the proposed algorithm.
操作系统调度器的设计目的是将CPU资源适当地分配给所有进程。Linux完全公平调度程序(CFS)设计使用线程公平调度算法确保任务之间的公平性。该算法确保基于系统中的线程数而不是执行的程序来分配资源。Linux内核中使用的CFS的公平性问题是由于基于系统中线程数的调度器偏爱线程数较多的程序。为了通过惩罚贪心线程程序来获得更好的公平性,提出了一种新的算法及其优化过程实现方法。为了说明公平性问题并检验所提出算法的效果,进行了几个测试。
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引用次数: 4
A hybrid map representation for simultaneous localization and mapping of the internal ruins environment 混合地图表示,用于同时定位和绘制内部废墟环境
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720452
Nan Wang, Shugen Ma, Bin Li, Minghui Wang, Min Zhao
According to morphological characteristics in the interior of ruins after an earthquake disaster, a map representation technique for ruins environment is presented, and a corresponding simultaneous localization and mapping algorithm on the basis of hybrid map is proposed. Based on the topological metric hybrid map, the algorithm describes ruins environment at different levels. At global level, the topological map organizes the overall structure and also ensures the computing capability and ambient adaptability. Then, through building a local metric map at each topological node region, irregular obstacles formed by random seismic damage are described. Finally, experiments in an artificial ruins environment show that the algorithm can realize localization and mapping at the complicated environment.
根据震后废墟内部的形态特征,提出了一种废墟环境的地图表示技术,并提出了一种基于混合地图的废墟环境同步定位与制图算法。该算法基于拓扑度量混合地图,对不同层次的遗址环境进行描述。在全局层面上,拓扑图组织整体结构,保证计算能力和环境适应性。然后,通过在每个拓扑节点区域建立局部度量图,描述随机地震损伤形成的不规则障碍物。最后,在人工遗址环境下进行的实验表明,该算法能够在复杂环境下实现定位和映射。
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引用次数: 1
Research of paper surface defects detection system based on blob algorithm 基于blob算法的纸张表面缺陷检测系统研究
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720384
X. Qi, Xiaoting Li, Hailun Zhang
Effective recognition and localization of paper defect based on machine vision is the key issue for paper defect detection system. This paper proposed an improved algorithm by combination with Blob analysis algorithm and image preprocessing approach to detect the paper defects which exist in captured images by a linear charge coupled device (CCD) camera. First, the defected images are preprocessed, such as image denoising, image segmentation, connectivity analysis, and then extract effective paper textures: defect amount, regional area, long axis, short axis, central position and so on, meanwhile draw the minimum bounding rectangles. Compared with the traditional morphology algorithm and threshold segmentation and fractal feature algorithm, the improved algorithm is validated by a great deal of experimental results with high detection efficiency and defects localization accuracy.
基于机器视觉的纸张缺陷有效识别与定位是纸张缺陷检测系统的关键问题。本文提出了一种结合Blob分析算法和图像预处理方法的改进算法,用于检测线电荷耦合器件(CCD)相机拍摄图像中存在的纸张缺陷。首先对缺陷图像进行图像去噪、图像分割、连通分析等预处理,提取有效的纸张纹理:缺陷量、区域面积、长轴、短轴、中心位置等,同时绘制最小边界矩形。与传统的形态学算法、阈值分割和分形特征算法相比,改进算法具有较高的检测效率和缺陷定位精度。
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引用次数: 4
High gain disturbance observer and its application in robust control attenuation 高增益扰动观测器及其在鲁棒控制衰减中的应用
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720301
Ziya Jiang, Yuqing He, Jianda Han
High gain observer (HGO) has been proved to be a good method to estimate states of Lipschitz nonlinear systems. In this paper, we focus on the HGO based external input (disturbance) estimator and disturbance attenuation control scheme. Firstly, a robust control scheme is proposed to attenuate the disturbance with the assumption that it is obtainable; subsequently, HGO is designed to estimate both the states and the disturbances, and the convergence is ensured under some conditions; then, it is shown that if the gain of the HGO is selected properly, the BIBO stability of the whole system (nonlinear closed system with observer) can be guaranteed; finally, simulation with respect to an inverted pendulum is carried out and the results verify the validity of the proposed scheme.
高增益观测器(HGO)已被证明是一种估计非线性系统状态的好方法。本文重点研究了基于HGO的外部输入(干扰)估计器和干扰衰减控制方案。首先,在假设扰动可达的前提下,提出了一种鲁棒控制方案来减弱扰动;然后,设计了同时估计状态和扰动的HGO,并在一定条件下保证了收敛性;结果表明,如果选择合适的增益,可以保证整个系统(带观测器的非线性封闭系统)的BIBO稳定性;最后,以倒立摆为例进行了仿真,结果验证了所提方案的有效性。
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引用次数: 1
A simple inspection technique of visual defects of polymer polarizer 聚合物偏光片视觉缺陷的简易检测技术
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720463
Yuanlong Deng, F. Luo, Yubin Wu, Xiaopin Zhong
In order to inspect the visual defects of polymer polarizer, an off-line automatic optical system (AOI) is proposed in this paper. It employs a plane CCD camera to capture the image of polarizer, and the Vision-Development-Module (VDM) © to process and analyze the image. Simple algorithm to determine the key parameters, such as the range of gray level equalization and the segmentation threshold, is implemented in the LabVIEW2012©. Experimental results demonstrate the validity of the algorithm, and classification, location and size of visual defects are extracted successfully.
为了检测聚合物偏光片的视觉缺陷,本文提出了一种离线自动光学系统。该系统采用平面CCD相机采集偏光片图像,利用视觉开发模块(Vision-Development-Module, VDM)©对图像进行处理和分析。在LabVIEW2012©中实现了确定灰度均衡范围和分割阈值等关键参数的简单算法。实验结果证明了该算法的有效性,成功地提取了视觉缺陷的分类、位置和大小。
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引用次数: 0
Ambient light intensity based topology switching control for multi-robot system 基于环境光照强度的多机器人系统拓扑切换控制
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720402
Ying Zhang, G. Song, Guifang Qiao, Yali Wang, Weiguo Wang
Three Khepera III robots are used in multi-robot system for family security by providing environment information for people. This paper proposes that the topology of multi-robot system switches according to ambient light intensity during the navigation process. The localization of robots depends on dead reckoning, and Extended Kalman Filter is used to improve the localization accuracy, the error rate is about 0.5%. The formation controller of the system is leader-follower method, which can ensure the linear and angular velocities convergence smoothly and ensure the system forms into some specified topology structure. In the end, experiments verify the effectiveness of the method.
在多机器人系统中使用了三个 Khepera III 机器人,通过为人们提供环境信息来保障家庭安全。本文提出,在导航过程中,多机器人系统的拓扑结构会根据环境光照强度进行切换。机器人的定位依赖于死算,使用扩展卡尔曼滤波器提高定位精度,误差率约为 0.5%。系统的编队控制器采用领导者-跟随者方法,可确保线速度和角速度平稳收敛,并确保系统形成某种指定的拓扑结构。最后,实验验证了该方法的有效性。
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引用次数: 2
Automatic processing of the multibeam echosounding data based on CUBE algorithm 基于CUBE算法的多波束测深数据自动处理
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720499
Xiaodi Qi, Xinghua Zhou
Based on combined uncertainty and bathymetry estimator (CUBE) algorithm, a dynamic linear model (DLM) including horizontal and vertical soundings data uncertainties is discussed. Kalman filtering and multiple estimations are utilized to calculate the grid nodes. According to the real measured data of survey area of Bohai, comparison with the manual interactive process, CUBE algorithm is presented to estimate the true depth of the grid points of the survey area in this paper. From the experimental results, it can be seen that the CUBE algorithm is efficient and has good robustness, which means the proposed algorithm is suitable for massive multibeam soundings data in real-time automatic processing.
基于不确定度与测深估计(CUBE)算法,讨论了一种包含水平和垂直测深数据不确定度的动态线性模型(DLM)。利用卡尔曼滤波和多重估计计算网格节点。根据渤海调查区实际测量数据,对比人工交互过程,提出了估算调查区格点真实深度的CUBE算法。实验结果表明,该算法效率高,鲁棒性好,适用于海量多波束测深数据的实时自动处理。
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引用次数: 0
An experimental evaluation of the RT-WMP routing protocol in an indoor environment RT-WMP路由协议在室内环境下的实验评估
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720321
Matthew Tan, Ming Liu, R. Siegwart
The RT-WMP routing protocol allows a user to determine which data streams ought to have a higher priority for transmission over a wireless mobile ad-hoc network. This paper provides a benchmark of the RT-WMP protocol in a typical indoor environment. The benchmarking results will reveal that the RT-WMP protocol is able to handle multiple data streams well over moderate distances of up to 10m. Above this distance, with a scarcer bandwidth, the protocol is still able to allow continued transmission of at least one data stream, which may not necessarily be the data stream with the highest priority. The results will lay the base for the development of a resource allocation strategy that allows for continued data transmission of all data streams, and not just the data stream with the highest priority only.
RT-WMP路由协议允许用户确定哪些数据流应该具有更高的优先级,以便在无线移动自组织网络上传输。本文给出了RT-WMP协议在典型室内环境下的基准测试。基准测试结果将显示,RT-WMP协议能够在10米的中等距离内处理多个数据流。在此距离之上,使用更少的带宽,协议仍然能够允许至少一个数据流的持续传输,该数据流不一定是具有最高优先级的数据流。研究结果将为开发一种资源分配策略奠定基础,该策略允许所有数据流的持续数据传输,而不仅仅是具有最高优先级的数据流。
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引用次数: 6
Realization of the flight control for an indoor UAV quadrotor 室内四旋翼无人机飞行控制的实现
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720491
Yi-Rui Tang, Yangmin Li
The UAV quadrotor is considerably difficult to be controlled due to its inherently unstable and complex multi-variable properties. To realize the control, a nonlinear dynamic model is firstly derived and formulated. A control approach employing hierarchical multiple-layer structure is then developed. The detailed hardware components, software as well as the working principle of the system are described. The entire UAV control system is tested and verified in actual flight tests.
四旋翼无人机由于其固有的不稳定性和复杂的多变量特性而相当难以控制。为了实现控制,首先推导并建立了非线性动力学模型。然后提出了一种采用分层多层结构的控制方法。详细介绍了系统的硬件组成、软件以及工作原理。整个无人机控制系统在实际飞行试验中进行了测试和验证。
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引用次数: 10
Pedestrian detection from still images based on multi-feature covariances 基于多特征协方差的静止图像行人检测
Pub Date : 2013-08-01 DOI: 10.1109/ICINFA.2013.6720370
Yaping Liu, Jian Yao, Renping Xie, Sa Zhu
This paper targets the detection of pedestrians from still images, which focuses on developing robust feature representations that encode image regions as covariance matrices to support high accuracy pedestrian/non-pedestrian decisions. Firstly we utilize a fast method for computation of covariances based on integral images. By integrating the advantages of both covariance-based object detection and HOG-and FDF-based pedestrian detection, we then introduce four new feature representations for training a pedestrian detector: Covariance-based first-order Histogram of Oriented Gradient (Cov-HOG1), Covariance-based second-order Histogram of Oriented Gradient (Cov-HOG2), Covariance-based first-order Four Directional Features (Cov-FDF1), and Covariance-based second-order Four Directional Features (Cov-FDF2). To test our feature sets, we adopt a relatively simple learning framework that uses LogitBoost algorithm to classify each possible image region as a pedestrian or as a non-pedestrian. The experimental results show that the proposed algorithm obtains satisfactory pedestrian detection performances on the INRIA person datasets as well as images collected from Google and Flickr websites.
本文的目标是从静止图像中检测行人,重点是开发鲁棒特征表示,将图像区域编码为协方差矩阵,以支持高精度的行人/非行人决策。首先利用一种基于积分图像的协方差快速计算方法。通过综合基于协方差的目标检测和基于hog和fdf的行人检测的优点,我们引入了四种新的特征表示来训练行人检测器:基于协方差的一阶定向梯度直方图(Cov-HOG1)、基于协方差的二阶定向梯度直方图(Cov-HOG2)、基于协方差的一阶四方向特征(Cov-FDF1)和基于协方差的二阶四方向特征(Cov-FDF2)。为了测试我们的特征集,我们采用了一个相对简单的学习框架,它使用LogitBoost算法将每个可能的图像区域分类为行人或非行人。实验结果表明,该算法在INRIA人物数据集以及Google和Flickr网站上采集的图像上取得了令人满意的行人检测性能。
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引用次数: 11
期刊
2013 IEEE International Conference on Information and Automation (ICIA)
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