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2010 IEEE International Conference on Progress in Informatics and Computing最新文献

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An open user model service platform 一个开放的用户模型服务平台
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687593
Haiyan Zhao, Yanlan Chen
To obtain and maintain user models are very important for personalized service offering. The quality of personalized services directly relies on the quality of the user models. Not surprisingly, many web sites have adopted different ways to construct user models so that they can recommend goods or services to individuals according to user's preference. Obviously, to integrate separate user models coming from different sources for one user can provide more comprehensive and accurate user information. Thus there exist the requirements to obtain integrated user models by sharing their user models. After discussing the requirements of sharing user models, an open user model service platform is presented. It's architecture, key technologies and an implemented prototype are introduced.
获取和维护用户模型对于个性化服务的提供是非常重要的。个性化服务的质量直接依赖于用户模型的质量。毫不奇怪,许多网站采用了不同的方式来构建用户模型,以便他们可以根据用户的偏好向个人推荐商品或服务。显然,为一个用户集成来自不同来源的独立用户模型可以提供更全面和准确的用户信息。因此存在通过共享用户模型来获得集成用户模型的需求。在讨论了用户模型共享需求的基础上,提出了一个开放的用户模型服务平台。介绍了该系统的体系结构、关键技术和实现样机。
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引用次数: 0
RTK GPS enhanced reliability for automatic container terminal RTK GPS提高了自动化集装箱码头的可靠性
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687974
Zheng Gui, Peng Xie
Reliability is a fatal factor in the operation of automatic container terminal. RTK GPS technology could be adopted for container and equipment positioning, structure deformation detecting, travel control and safety survey to enhance the reliability. Also some steps that could be taken up to backup the operation of GPS are discussed, which involve sheltering compensation, standby communication, standby reference station and receiver calibrating.
可靠性是自动化集装箱码头运行的决定性因素。RTK GPS技术可用于集装箱及设备定位、结构变形检测、行程控制和安全测量,提高可靠性。本文还讨论了GPS备份运行可采取的措施,包括屏蔽补偿、备用通信、备用参考站和接收机标定。
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引用次数: 1
Automatic generation of geometric base sequences 自动生成几何碱基序列
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687899
Rui Ling, Yuan-jun He, Kairen Deng
How to use computers to effectively solve geometric computation problems is one important focus in the development of geometry. In this paper, we introduce a new method to solve geometric problems with a geometric method. We establish a set of geometric bases and generate sequences of these geometric bases automatically with forward-reasoning. The geometric base sequence is a new description of the solution of geometric problems which is more readable than the solution generated by algebra methods. Moreover, we modify the hidden Markov chain model to avoid information explosion. Experimental results indicate that our method can be used to generate the sequences efficiently.
如何利用计算机有效地解决几何计算问题是几何学科发展的一个重要方向。本文介绍了一种用几何方法求解几何问题的新方法。我们建立了一组几何基,并利用前向推理自动生成这些几何基的序列。几何基序列是对几何问题解的一种新的描述,比代数方法生成的解更具可读性。此外,我们对隐马尔可夫链模型进行了修正,以避免信息爆炸。实验结果表明,该方法可以有效地生成序列。
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引用次数: 0
Saddle point detection for connecting objects in 2D images based on mathematic programming restraints 基于数学规划约束的二维图像连接目标鞍点检测
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5688018
Ken Chen, Yicong Wang, G. Jiang, L. Banta
Saddle points formed through morphologic erosion and existing between adjacent connecting objects in 2D images have been applied for segmenting purposes. In this article, a new approach is presented for searching the saddle points in 2D images using mathematic programming restraints for the purpose of ultimately separating the connecting objects. By combining the pixel distribution information in 3D topographic image and mathematic programming restraints for saddle point, the saddle points in the image can thus be identified. In addition, the relation between step selection in the algorithm and detection rate is also explored. The experiment results on the given real particle images suggest the better robustness in saddle point detection algorithm, which undoubtedly lays the practical and theoretic base for touching object segmentation for 2D images.
利用二维图像中存在于相邻连接物体之间的形态侵蚀形成的鞍点进行分割。本文提出了一种利用数学规划约束在二维图像中搜索鞍点的新方法,目的是最终分离连接对象。将三维地形图像中的像素分布信息与鞍点的数学规划约束相结合,实现图像中鞍点的识别。此外,还探讨了算法中的步长选择与检测率之间的关系。在给定的真实粒子图像上的实验结果表明,鞍点检测算法具有较好的鲁棒性,这无疑为二维图像的触摸目标分割奠定了实践和理论基础。
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引用次数: 0
RPC-based adjustment model for COSMO-SkyMed stereo slant/ground-range images COSMO-SkyMed立体倾斜/地距影像的rpc平差模型
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687479
Zhen Li, Guo Zhang, H. Pan, Qiang Qiang
The use of stereoscopic SAR images offers an alternative to conventional stereo-photogrammetric survey for the generation of Digital Elevation Models (DEMs). Often the SAR ground-range form is more popular with the commercial users, since the pixel spacing on the ground is roughly the same for the different look-angle images. The different mathematical descriptions between the slant-range and ground-range products thus make the stereo modeling and adjustment a challenging objective to deal with. Previous work applied sensor model adjustment of range and timing parameters to SAR spotlight range images, promising 3-D mapping accuracies in the range of 2 m. However, this adopted the direct least squares method, which is too sensitive in the case of the ground-range images, making it less than optimal for SAR range images' stereo restitution. In this paper, an image based transformation (geometric correction) using a small number of control points(CPs) in cooperation with the Rational Polynomial Coefficient (RPC) model to improve the space intersection accuracy is proposed. The development of such an RPC-based adjustment method is first described, which is very practical to implement and can be applied to SAR slant- or ground-range products. By situating several well-distributed trihedral corner reflectors (CRs) within sites and imaging these sites using COSMO-SkyMed's stripmap (SM) mode, the modeling quality of the delivered slant- or ground-range products was validated, and the 3-D mapping potential was also assessed.
立体SAR图像的使用为生成数字高程模型(dem)提供了一种替代传统立体摄影测量的方法。通常SAR地面距离形式更受商业用户的欢迎,因为不同视角图像的地面像素间距大致相同。因此,倾斜距离和地面距离产品之间不同的数学描述使得立体建模和平差成为一个具有挑战性的目标。先前的工作将传感器模型调整距离和时间参数应用于SAR聚光灯距离图像,有望在2米范围内实现三维制图精度。但是,该方法采用的是直接最小二乘法,对于地距图像过于敏感,对于SAR距离图像的立体复原效果不太理想。本文提出了一种利用少量控制点(CPs)与有理多项式系数(RPC)模型相结合的基于图像的变换(几何校正)方法来提高空间交会精度。首先描述了这种基于rpc的平差方法的发展,该方法实施起来非常实用,可以应用于SAR斜距或地距产品。通过在站点内放置几个分布良好的三面体角反射器(cr),并使用COSMO-SkyMed的条带图(SM)模式对这些站点进行成像,验证了交付的倾斜或地面范围产品的建模质量,并评估了三维测绘潜力。
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引用次数: 3
Improved GA combined with GDBP algorithm for forecasting releasing behaviors of drug carrier 改进遗传算法结合GDBP算法预测药物载体的释放行为
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687960
Li Mao, Deyu Qi, Xiaoxi Li
The bioadhesive drug delivery systems using satrch-based colon-targeted drug carriers have drawn great attention in the field of pharmaceutical science in resent years. A Neural Network (NN) prediction model was developed based on hibrid method of improved genetic algorithms (GA) and conjugate gradient algorithm for backpropagation(GDBP) NN according to key factors that affect releasing behaviors of satrch-based colon-targeted drug carrier. In particular, function approximation capability and high efficciency of GDBP NN is used to simulate nonlinear relation between key factors and drug carrier releasing behaviors. Futhermore, the simulation results indicate that compared with traditional GA-BP NN, training efficiency of GA-GDBP NN has been greatly improved. Consequently, the model finds a new way to predict drug carrier releasing behaviors and instructs factors seting in real experiments.
近年来,基于结肠靶向药物载体的生物黏附给药系统受到了药学领域的广泛关注。针对影响结肠靶向药物载体释放行为的关键因素,基于改进遗传算法(GA)和反向传播共轭梯度算法(GDBP)神经网络的混合方法,建立了神经网络预测模型。特别是利用GDBP神经网络的函数逼近能力和高效率来模拟关键因素与药物载体释放行为之间的非线性关系。仿真结果表明,与传统的GA-BP神经网络相比,GA-GDBP神经网络的训练效率有了很大提高。因此,该模型为预测药物载体释放行为提供了一种新的方法,并为实际实验中的因素设置提供了指导。
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引用次数: 1
A color interpolation algorithm for Bayer pattern digital cameras based on green components and color difference space 基于绿色分量和色差空间的拜耳图案数码相机颜色插值算法
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5688020
Lei Hua, Lei Xie, Hui-fang Chen
The color interpolation method of Bayer CFA used in most digital cameras plays an important role in imaging system. In Bayer pattern, the green components are the twice as much as red or blue and contain more image information, which can be used to compensate the interpolations of red and blue. Due to the high correlation among the three color channels, color mutation is prevented by the fixed color difference. Based on these principles, the proposed interpolation algorithm estimates green component firstly with adapted color plane interpolation algorithm, then computes the color difference image (R-G and B-G) to interpolate the full resolution difference image with the compensation of interpolated G and edge adaptive method. Edge blurring problem is addressed by using edge judgment to estimate RGB. Color distortion is reduced using color difference interpolation procedure. Experimental results show that the proposed algorithm outperforms existing typical interpolation methods in terms of image quality and peak signal-to-noise ratio (PSNR), and also computational complexity is low.
在大多数数码相机中使用的Bayer CFA彩色插值方法在成像系统中起着重要的作用。在Bayer模式中,绿色分量是红色或蓝色分量的两倍,包含更多的图像信息,可以用来补偿红色和蓝色的插值。由于三个颜色通道之间的高度相关性,固定色差可以防止颜色突变。基于这些原理,提出的插值算法首先采用自适应彩色平面插值算法估计绿色分量,然后计算色差图像(R-G和B-G),通过插值后的G和边缘自适应方法进行补偿,对全分辨率差分图像进行插值。利用边缘判断来估计RGB,解决了边缘模糊问题。使用色差插值程序减少颜色失真。实验结果表明,该算法在图像质量和峰值信噪比(PSNR)方面都优于现有的典型插值方法,且计算复杂度低。
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引用次数: 10
On the construction of Boolean functions with optimal algebraic immunity and good other properties by concatenation 用串联法构造具有最优代数免疫和其它优良性质的布尔函数
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687590
ShouChao Song, Jie Zhang, J. Du, Qiaoyuan Wen
How to construct Boolean functions with good crytographic characteristics is an interesting and significant problem in crytography. Based on the properties of concatenation, two methods were proposed to construct Boolean functions with optimal or suboptimal algebraic immunity. Moreover, some other cryptographic properties, such as algebraic degree, balancedness, and nonlinearity, of the constructed function were also studied. At the end, a new idea was presented for ascertaining whether the given Boolean function had optimal algebraic immunity.
如何构造具有良好密码特性的布尔函数是密码学中一个有趣而重要的问题。基于串联的性质,提出了构造代数免疫最优或次最优布尔函数的两种方法。此外,还研究了所构造函数的代数度、平衡性和非线性等其他密码学性质。最后,提出了一种确定给定布尔函数是否具有最优代数免疫的新思路。
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引用次数: 5
CBR based emergency case generating system under engineering accidents 基于CBR的工程事故应急案例生成系统
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687419
Chunguang Chang, Xiang Ma, Xiaoyu Song, Bo Gao
With the flourishing development of construction and real estate industry, engineering accidents happen more frequently. The purpose of this paper is to generate emergency case as quick as possible so as to improve the quick emergency reaction capability when engineering accident happens. The flow of CBR based emergency case generating system (CBR/ECGS) under engineering accidents is studied. Both the static and dynamic case presentation technologies for CBR/ECGS are designed, and the case retrieval, case adaptation and case maintenance technologies for CBR/ECGS are proposed. It can be seen from running result of CBR/ECGS that, comparing with the result under the mode in which artificial adjustment is allowed, the overcast degree of emergency cases generated by CBR/ECGS under the mode in which only automatic system adjustment is allowed is almost the same. The validity of CBR/ECGS proposed in this paper is validated, and CBR is suitable for solving complex, non-structure problems such as emergency case generating under engineering accidents.
随着建筑业和房地产业的蓬勃发展,工程事故频发。本文的目的是尽快生成应急案例,以提高工程事故发生时的快速应急反应能力。研究了基于CBR的应急事故发生系统(CBR/ECGS)在工程事故中的运行流程。设计了CBR/ECGS的静态和动态案例表示技术,提出了CBR/ECGS的案例检索、案例适应和案例维护技术。从CBR/ECGS的运行结果可以看出,与允许人工调节模式下的结果相比,仅允许系统自动调节模式下CBR/ECGS产生的紧急情况的阴云程度几乎相同。验证了本文提出的CBR/ECGS方法的有效性,CBR适用于解决工程事故下的突发事件等复杂的非结构问题。
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引用次数: 1
Iris localization algorithm based on gray distribution features 基于灰度分布特征的虹膜定位算法
Pub Date : 2010-12-01 DOI: 10.1109/PIC.2010.5687942
Fei Tan, Zhengming Li, Xiaoqin Zhu
Influenced by the noises, for example, eyelid and eyelash occlusions, iris localization algorithms are difficult to keep a right balance between real-time quality and accuracy. Therefore, a novel iris localization method with effective noise eliminating is proposed in this paper. For the iris' inner edge location, morphological open is used to eliminate noise based on separating pupil region by binaryzation. Then the pupil's center and radius are located accurately by gray projection. For the iris' outer edge location, morphological close is proposed to eliminate the rich texture within the iris area. Based on this method, an edge detection template to search four directional points within a small scope of the probable boundary is designed and thus the iris's centre and radius can be located. Simulation results show that, compared with the pre-algorithms, the new algorithm not only greatly improves the accuracy and the speed, but also shows good robustness.
受眼睑、睫毛遮挡等噪声的影响,虹膜定位算法难以在实时性和准确性之间取得良好的平衡。为此,本文提出了一种有效消噪的虹膜定位方法。对于虹膜内边缘定位,在二值化分离瞳孔区域的基础上,采用形态学开放消除噪声。然后通过灰度投影精确定位瞳孔的中心和半径。对于虹膜的外缘位置,提出形态学封闭,消除虹膜区域内丰富的纹理。在此基础上,设计了一个边缘检测模板,在可能边界的小范围内搜索四个方向点,从而确定虹膜的中心和半径。仿真结果表明,与已有算法相比,新算法不仅精度和速度大大提高,而且具有良好的鲁棒性。
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引用次数: 5
期刊
2010 IEEE International Conference on Progress in Informatics and Computing
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