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Third International Conference on Natural Computation (ICNC 2007)最新文献

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Simulation and Research of the PCB Vias Effects PCB过孔效应的仿真与研究
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.664
Q. Tang, Yaonan Wang, C. Christopoulos
Through-hole vias is the essential element of modern multilayer PCB to connect the signal paths, power planes and ground planes on different layers of the board. The via in the signal path results in the discontinuity and a possible source of signal degradation and EMI. This paper presents the 3D Transmission-Line Modelling(TLM) method to model the vias and PCB trace and simulate the signal transmission process. The aim is to forecast the signal degradation by means of comparing the pulses propagation in the microstrip traces with and without via.
通孔通孔是现代多层PCB中连接不同层板上的信号通路、电源平面和接地面的基本元件。信号路径中的通孔导致不连续,并可能成为信号退化和电磁干扰的来源。本文提出了三维传输在线建模(TLM)方法,对过孔和PCB走线进行建模,并对信号传输过程进行仿真。目的是通过比较脉冲在带通孔和不带通孔微带走线中的传播情况来预测信号的退化。
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引用次数: 2
A Fast Blind Deconvolution Algorithm Using Decorrelation and Block Matrix 一种基于去相关和分块矩阵的快速盲反卷积算法
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.21
Jun-an Yang, Xue-ping He, Yunxiao Jiang
In order to alleviate the shortcomings of most blind deconvolution algorithms, this paper proposes an improved fast algorithm for blind deconvolution based on decorrelation technique and broadband block matrix. Althougth the original algorithm proposed in ref (H. Buchner et al., 2003) can overcome the shortcomings of current blind deconvolution algorithms, but it has a constraint that the number of the source signals must be less than that of the channels'. The improved algorithm deletes this constraint by using decorrelation technique. Besides, the improved algorithm raises the separation speed in terms of improving the computing methods of output signals matrix. Simulation results demonstrate the validation and fast separation of the improved algorithm.
针对大多数盲反卷积算法的不足,提出了一种基于去相关技术和宽带分块矩阵的快速盲反卷积改进算法。虽然在ref (H. Buchner et al., 2003)中提出的原始算法可以克服当前盲反卷积算法的缺点,但它有一个约束,即源信号的数量必须小于信道的数量。改进算法利用去相关技术消除该约束。改进后的算法在改进输出信号矩阵的计算方法方面提高了分离速度。仿真结果验证了改进算法的有效性和分离速度。
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引用次数: 0
Geometric Feature Equalizers Based on Hybrid Genetic Algorithm 基于混合遗传算法的几何特征均衡器
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.403
Renxiang Zhu, Lenan Wu, Ruo Shu
A nonlinear geometric feature equalizer adopting minimum bit error rate principle is proposed in this paper for the filtering of noise and interference whose frequency band overlaps with the desired signal in communications, and a novel hybrid genetic algorithm, namely hybrid genetic algorithm-stochastic gradient, is also proposed for training the equalization model. Considering that the noise and the interference have different stochastic character, the desired information is recovered by neural network based on minimum bit error rate principle. Simulation results show that when extended binary phase shifting keying signal is contaminated by the mix of white Gaussian noise and relatively strong interference signals of amplitude modulation and frequency modulation, the performance of matched filter or linear equalizer degenerates rapidly, but geometric feature equalizer provides very low bit error rate. Furthermore, performance of hybrid genetic algorithm is superior to that of stochastic gradient.
本文提出了一种采用最小误码率原理的非线性几何特征均衡器,用于滤波通信中与期望信号频带重叠的噪声和干扰,并提出了一种新的混合遗传算法,即混合遗传算法-随机梯度算法,用于训练均衡模型。考虑到噪声和干扰具有不同的随机特性,采用基于最小误码率原理的神经网络恢复所需信息。仿真结果表明,当扩展二进制相移键控信号受到高斯白噪声和相对较强的调幅调频干扰信号的混合污染时,匹配滤波器或线性均衡器的性能迅速退化,而几何特征均衡器的误码率很低。此外,混合遗传算法的性能优于随机梯度算法。
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引用次数: 4
Applying Genetic Algorithms to Efficiently Locate Mobile Terminals in Personal Communication Networks 应用遗传算法高效定位个人通信网络中的移动终端
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.266
Yi-hua Zhu, W. Pedrycz
Location management (LM) is an essential feature in a personal communication service (PCS) network composed of a group of base stations. LM enables the PCS network to find the current cell, the radio coverage of a base station, in which a mobile terminal (MT) resides when an incoming call to the MT arrives. LM involves two operations: location update and paging. This study aims to develop algorithms that reduce paging cost so that total LM cost is reduced. As an optimization technique we consider the use of genetic algorithms using which we develops a sequential paging scheme. Furthermore, numeric studies are presented so that we can compare the proposed paging scheme with some well-known sequential paging schemes such as reverse paging, semi-reverse paging, and uniform paging. The experimental results demonstrate the effectiveness of the proposed paging scheme (minimal paging cost) over the existing ones.
位置管理(LM)是由一组基站组成的个人通信服务(PCS)网络的基本功能。LM使PCS网络能够找到当前小区,即基站的无线电覆盖范围,当对移动终端(MT)的呼入到达时,移动终端(MT)驻留在其中。LM涉及两个操作:位置更新和分页。本研究旨在开发降低分页成本的算法,从而降低LM的总成本。作为一种优化技术,我们考虑使用遗传算法来开发顺序分页方案。此外,还提供了数值研究,以便我们可以将所提出的分页方案与一些众所周知的顺序分页方案(如反向分页、半反向分页和均匀分页)进行比较。实验结果证明了所提出的分页方案(最小分页成本)比现有方案的有效性。
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引用次数: 0
Kernel-Based Cellular Automata for Urban Simulation 基于核的元胞自动机的城市模拟
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.456
Xiaoping Liu, Xia Li, Bin Ai, Shaokun Wu, Tao Liu
Cellular automata (CA) can be used to simulate complex urban systems. Calibration of CA is essential for producing realistic urban patterns. A common calibration procedure is based on linear regression methods, such as multicriteria evaluation. This paper proposes a new method to acquire nonlinear transition rules of CA by using the techniques of kernel-based learning machines. The kernel-based approach transforms complex nonlinear problems to simple linear problems through the mapping on an implicit high-dimensional feature space for extracting transition rules. This method has been applied to the simulation of urban expansion in the fast growing city, Guangzhou. Comparisons indicate that more reliable simulation results can be generated by using this kernel-based method.
元胞自动机(CA)可以用来模拟复杂的城市系统。校正CA对于生成真实的城市格局至关重要。一个常见的校准程序是基于线性回归方法,如多准则评估。本文提出了一种利用核学习机技术获取CA非线性转移规则的新方法。该方法通过在隐式高维特征空间上的映射来提取转换规则,将复杂的非线性问题转化为简单的线性问题。该方法已应用于快速发展城市广州的城市扩张模拟。对比表明,采用该方法可以得到更可靠的仿真结果。
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引用次数: 7
Design of Hash-Tree Anti-collision Algorithm 哈希树抗碰撞算法的设计
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.327
Hong Zhang, Lei Han, Yu-Lu Li
In RFID system, the problem of the collision between tags is a focus topic. The Hash-tree anti-collision algorithm was proposed in the paper, which adopted hash operation to allocate slots for tags and used tree searching method to identify collision tags in the queue of collision slots. The proposed algorithm doesn't require readers to test the precise location of collision bits, and its performance beyond 36.8% is better than ALOHA- based algorithms.
在RFID系统中,标签之间的碰撞问题一直是人们关注的焦点。本文提出了哈希树抗碰撞算法,该算法采用哈希运算为标签分配插槽,并使用树搜索方法在冲突插槽队列中识别冲突标签。该算法不需要读取器测试碰撞位的精确位置,其性能优于基于ALOHA的算法36.8%以上。
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引用次数: 5
Path Planning Based on Double-Layer Genetic Algorithm 基于双层遗传算法的路径规划
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.546
Jin Lu, Dongyong Yang
It is a more difficult problem to plan path in environment which with both static obstacles and dynamic obstacles. Double-layer genetic algorithm mechanism is brought up in this paper. It introduces the method which deals with static obstacles avoidance and dynamic avoidance respectively. Optimized operator and adaptive technology are designed to speed up creating optimized path. The result of experimentation is show that multifactor could be taken into account synthetically and the best path could be convergent by this way.
在既有静态障碍物又有动态障碍物的环境中进行路径规划是一个比较困难的问题。本文提出了双层遗传算法机制。介绍了静态避障和动态避障的处理方法。设计了优化算子和自适应技术,加快了优化路径的生成速度。实验结果表明,该方法能综合考虑多因素,并能收敛出最佳路径。
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引用次数: 19
Cell Cluster Image Segmentation on Form Analysis 基于形式分析的细胞簇图像分割
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.293
Wang Wei-xing, Song Hao
In this paper, a segmentation algorithm based on form information is proposed for separation of touching and overlapping cells. The method integrating morphological smoothing with holes filling is employed in a pre-processing stage. Then the overlapping cell clusters are identified through a polygon approximation. Later the separation is implemented, which consists of the detecting concave points on the contours and determining the separation lines. The algorithm can split complicated large cell clusters. In addition, this algorithm can be adopted for other applications, where separation between touching and overlapping particles is needed.
本文提出了一种基于形状信息的分割算法,用于分离接触细胞和重叠细胞。预处理阶段采用形态学平滑和孔洞填充相结合的方法。然后通过多边形近似来识别重叠的细胞簇。然后实现分离,包括检测轮廓上的凹点和确定分离线。该算法可以对复杂的大单元簇进行分割。此外,该算法还可用于其他需要分离接触颗粒和重叠颗粒的应用。
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引用次数: 25
Dual-channel PCNN and Its Application in the Field of Image Fusion 双通道PCNN及其在图像融合领域的应用
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.338
Zhanbin Wang, Yide Ma
Image fusion plays an important role in many fields such as computer vision, medical image, manufacturing, military, and remote sensing so on. Pulse coupled neural network (PCNN) is derived from the synchronous neuronal burst phenomena in the cat visual cortex. So it is very suitable for image processing. Due to some defects of original PCNN for data fusion, we propose a novel PCNN model - dual- channel PCNN for the first time based on original model, which is specialized in image fusion. In order to explain efficiency and validity of our proposed method, we take two medical images for example to explain further the advantages in comparison to other image fusion methods. Better results are obtained with our approach. Our fused image includes more information than others, which show our method is better and efficient one. Meanwhile our method not only fuses multi-source images very well but also enhances the quality of the fused image.
图像融合在计算机视觉、医学图像、制造、军事、遥感等领域发挥着重要作用。脉冲耦合神经网络(PCNN)来源于猫视觉皮层的同步神经元爆发现象。因此它非常适合于图像处理。针对原PCNN在数据融合方面存在的一些缺陷,在原PCNN模型的基础上,首次提出了一种新的PCNN模型——双通道PCNN,该模型专门用于图像融合。为了说明该方法的有效性和有效性,我们以两幅医学图像为例,进一步说明该方法与其他图像融合方法相比的优势。该方法取得了较好的效果。我们的融合图像包含了更多的信息,这表明我们的方法是一种更好、更高效的方法。同时,该方法不仅可以很好地融合多源图像,而且可以提高融合图像的质量。
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引用次数: 24
Dynamically Reconfigurable Cache for Low-Power Embedded System 低功耗嵌入式系统动态可重构缓存
Pub Date : 2007-08-24 DOI: 10.1109/ICNC.2007.346
Liming Chen, X. Zou, Jianming Lei, Zhenglin Liu
The choice of cache configuration impacts the system significantly. Modern embedded systems execute a specific class of applications repeatedly, thus adapting the cache parameters to those few applications can obtain tremendous benefits. We propose the dynamically reconfigurable cache architecture to improve not only overall performance, but also energy consumption for embedded systems. First, we introduce a novel reconfiguration management algorithm (RMA) dynamically detecting phase changes and automatically searching the large space of possible cache configurations for the optimal one. Then, a particular cache organization, cooperating with the RMA, is presented to reconfigure the cache with respect to a three-dimensional space, namely, cache capacity, line size, and associativity. The results of experiments validate the efficiency and accuracy of the RMA by performing simulation on the SPEC CPU2000 embedded system benchmarks. We show that the embedded systems can achieve the compromise between performance and energy using this approach.
缓存配置的选择对系统影响很大。现代嵌入式系统重复执行特定类别的应用程序,因此调整缓存参数以适应这些少数应用程序可以获得巨大的好处。我们提出了动态可重构的缓存架构,不仅提高了嵌入式系统的整体性能,而且降低了能耗。首先,我们引入了一种新的重构管理算法(RMA),该算法动态检测相位变化,并自动在大空间的可能缓存配置中搜索最优配置。然后,提出了一种特定的缓存组织,与RMA合作,根据三维空间(即缓存容量、行大小和关联性)重新配置缓存。通过在SPEC CPU2000嵌入式系统基准上的仿真,验证了RMA算法的有效性和准确性。我们表明,嵌入式系统可以实现性能和能源之间的折衷使用这种方法。
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引用次数: 38
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Third International Conference on Natural Computation (ICNC 2007)
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