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Using image contour recognition in GIS navigation 图像轮廓识别在GIS导航中的应用
Wei Lai, Donggang Yu, J. Tanaka, Cai Fei
This paper presents an approach of using image contour recognition in the navigation for enterprise geographic information systems (GIS). The extraction of object mark images is based on some morphological structural patterns which are described by morphological structural points, contour property, and other geometrical data in a binary image of enterprise geographic information map. Some preprocessing methods, contour smooth following, linearization and extraction patterns of structural points, are introduced. If a focus point of a map is selected, based on the extracted object mark image, a dynamic layout and navigation diagram is constructed, which consists of three underlying views: a graph navigation view, an image layout view, and an enterprise information view. In the diagram each object mark image is represented by a node, the relation information between two nodes is represented by an edge. If a node is selected, the new dynamic layout and navigation diagram is found based on the extracted object mark images around the selected node, which contains the relation with the previous diagram. Therefore a dynamic layout adjustment and navigation for enterprise GIS is determined.
提出了一种将图像轮廓识别应用于企业地理信息系统(GIS)导航的方法。目标标记图像的提取是基于企业地理信息地图二值图像中形态结构点、等高线属性等几何数据所描述的形态结构模式。介绍了结构点的轮廓平滑跟踪、线性化和提取模式等预处理方法。如果选择地图的焦点,则根据提取的对象标记图像构建动态布局导航图,该动态布局导航图包含三个底层视图:图形导航视图、图像布局视图和企业信息视图。图中每个对象标记图像用一个节点表示,两个节点之间的关系信息用一条边表示。如果选择一个节点,则根据所选节点周围提取的对象标记图像找到新的动态布局导航图,其中包含与前一个图的关系。从而确定了企业地理信息系统的动态布局调整与导航。
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引用次数: 0
A Multimedia Traffic Classification Scheme for Intrusion Detection Systems 一种用于入侵检测系统的多媒体流分类方案
Oge Marques, Pierre Baillargeon
Intrusion detection systems (IDS) have become widely used tools for ensuring system and network security. Among many other challenges, contemporary IDS have to cope with increasingly higher bandwidths, which sometimes force them to let some data go by without being checked for possible malicious activity. This paper presents a novel method to improve the performance of IDS based on multimedia traffic classification. In the proposed method, the IDS has additional knowledge about common multimedia file formats and uses this knowledge to perform a more detailed analysis of packets carrying that type of data. If the structure and selected contents of the data are compliant, the corresponding stream is tagged accordingly, and the IDS is spared from further work on that stream. Otherwise, an anomaly is detected and reported. Our experiments using Snort confirm that this additional specialized knowledge results in substantial computational savings, without significant overhead for processing non-multimedia data
入侵检测系统(IDS)已成为保障系统和网络安全的广泛工具。在许多其他挑战中,现代IDS必须应对越来越高的带宽,这有时迫使它们让一些数据通过而不检查可能的恶意活动。提出了一种基于多媒体流量分类的IDS性能改进方法。在提出的方法中,IDS具有关于常见多媒体文件格式的附加知识,并使用这些知识对携带该类型数据的数据包执行更详细的分析。如果数据的结构和选择的内容是兼容的,那么相应的流就会被相应地标记,IDS就不必在该流上做进一步的工作。否则,系统将检测到异常并上报。我们使用Snort进行的实验证实,这些额外的专业知识可以节省大量的计算量,而且在处理非多媒体数据时不会产生很大的开销
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引用次数: 8
A 3D reconstruction algorithm based on 3D deformable atlas 一种基于三维可变形图谱的三维重建算法
Ying Zhu, S. Belkasim
Reconstructing 3D models from 2D images is an important problem in visualization, particularly in medical and biological visualization. We present a new algorithm for 3D model reconstruction from 2D-images. In our approach, a 3D atlas is deformed to fit the feature data set in the target images. Compared with existing 3D reconstruction techniques, our approach is more efficient and easier to control. The resultant model has good inherent connectivity and smoothness. The resolution of the final model is determined by the resolution of reference model rather than the dataset. The model generates highly detailed view with a limited number of images. This algorithm has been successfully applied to medical simulation.
从二维图像重建三维模型是可视化中的一个重要问题,特别是在医学和生物学可视化中。提出了一种从二维图像重建三维模型的新算法。在我们的方法中,三维地图集被变形以适应目标图像中的特征数据集。与现有的三维重建技术相比,我们的方法更有效,更容易控制。所得模型具有良好的内在连通性和平滑性。最终模型的分辨率由参考模型的分辨率决定,而不是由数据集的分辨率决定。该模型使用有限数量的图像生成非常详细的视图。该算法已成功应用于医学仿真中。
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引用次数: 2
A novel traffic independent NNC for dynamic buffer tuning to shorten the RTT of a TCP channel 一种新的流量无关的NNC,用于动态缓冲调整以缩短TCP通道的RTT
Wilfred W. K. Lin, Allan K. Y. Wong, T. Dillon
The proposed neural network controller (NNC) is for user/server level dynamic buffer tuning. It eliminates overflow by making the buffer length always cover the queue length adaptively on the fly. The NNC and the AQM (active queue management) mechanism(s) at the system/router level together form a unified buffer overflow prevention solution for the TCP channels. The NNC provides the following advantages: a) it prevents the AQM resources dished out already at the system level from being wasted, b) it shortens the service roundtrip time (RTT) by eliminating the chance of retransmission due to user-level overflow, and c) it alleviates network congestion. The NNC operates by the {0,/spl Delta/}/sup 2/ objective function and the principle is to maintain the given /spl Delta/ safety margin about the reference point symbolically represented by the "0" in {0,/spl Delta/}/sup 2/. The NNC stability and precision are traffic pattern independent for its statistical nature. This independence makes the NNC immensely suitable for Internet applications because Internet traffic can be LRD (long-range dependence), SRD (short-range dependence) or multifractal, and switch suddenly.
所提出的神经网络控制器(NNC)用于用户/服务器级动态缓冲调谐。它通过使缓冲区长度始终自适应地覆盖动态队列长度来消除溢出。系统/路由器级别的NNC和AQM(主动队列管理)机制共同构成了TCP通道的统一缓冲区溢出预防解决方案。NNC提供了以下优点:a)它防止了已经在系统级分发的AQM资源被浪费,b)它通过消除由于用户级溢出而导致的重传机会缩短了服务往返时间(RTT), c)它缓解了网络拥塞。NNC通过{0,/spl Delta/}/sup 2/目标函数运行,其原理是保持参考点的给定/spl Delta/安全余量,参考点由{0,/spl Delta/}/sup 2/中的“0”符号表示。由于NNC的统计性质,其稳定性和精度与交通模式无关。这种独立性使得NNC非常适合互联网应用,因为互联网流量可以是LRD(远程依赖)、SRD(短程依赖)或多重分形的,并且可以突然切换。
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引用次数: 0
PAPR Reduction in MC/DS CDMA System by DFT Spreading Codes 用DFT扩频码降低MC/DS CDMA系统的PAPR
Yingshan Li, Ju-Hyun Kyung, Jong-Won Son, H. Ryu
Multi-carrier direct sequence code division multiple access (MC/DS CDMA) technique is one of the optimum technique for the reverse link mobile transmission. However, because of multi-carrier property, large PAPR (peak to average ratio) may be generated in MC/DS CDMA system. In this paper, DFT spreading code is applied to reduce high PAPR efficiently. As results, about 6 dB PAPR can be achieved at CCDF of 10 -3 in the MC/DS CDMA system with 12 data carriers. SER performance can be improved significantly compared with conventional MC/DS CDMA system with nonlinear HPA
多载波直接序列码分多址(MC/DS CDMA)技术是实现反向链路移动传输的最佳技术之一。然而,由于MC/DS CDMA系统的多载波特性,可能会产生较大的峰值平均比。本文采用离散傅立叶变换扩频码有效地降低了高PAPR。结果表明,在12个数据载波的MC/DS CDMA系统中,在CCDF为10 -3的情况下,可以实现约6 dB的PAPR。与传统的MC/DS CDMA系统相比,采用非线性HPA可以显著提高系统的SER性能
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引用次数: 7
Quantum NN vs. NN in signal recognition 量子神经网络与神经网络在信号识别中的对比
Xin-Yi Tsai, Yu-Ju Chen, Huang-Chu Huang, Shang-Jen Chuang, R. Hwang
In this paper, the signal recognition by using quantum neural network (QNN) is studied and simulated. The signals with fuzziness distributed in the boundary of two different types of signals could be effectively recognized due to the structure of QNN's hidden units. To demonstrate the capability of QNN in recognition, the signals in a two-dimension (NC2) non-convex system is simulated. All the experiments are also performed by using the traditional neural network (NN) for a comparison.
本文对利用量子神经网络(QNN)进行信号识别进行了研究和仿真。由于QNN隐含单元的结构,使得分布在两种不同类型信号边界上的模糊信号能够被有效识别。为了验证QNN的识别能力,对二维(NC2)非凸系统中的信号进行了仿真。并与传统神经网络(NN)进行了比较。
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引用次数: 17
A Transparent Cache-Based Mechanism for Mobile Ad Hoc Networks 基于透明缓存的移动自组织网络机制
Ying-Hong Wang, Jenhui Chen, Chih-Feng Chao, Chien-Min Lee
Mobile ad hoc networks (MANETs) enable all mobile nodes to communicate each other without base stations or access points, and the transfer of data packets is completed through the relay among all mobile nodes. However, a MANET is a self-organizing and adaptive wireless network formed by the dynamic gathering of mobile nodes, and the topology of a MANET frequently changes. To cope with the intrinsic properties of MANETs, a transparent cache-based mechanism is proposed in this paper. With the aid of the mechanism, the repetition of data and data path occurring in a MANET could be cached in some special mobile nodes. Routes and time span to access data are therefore shortened, and the data reusable rate is enhanced to reduce the use of bandwidth and the power consumption of battery
移动自组织网络(manet)使所有移动节点在没有基站或接入点的情况下相互通信,数据包的传输通过所有移动节点之间的中继完成。然而,MANET是由移动节点动态聚集而形成的自组织自适应无线网络,其拓扑结构经常发生变化。为了解决manet的固有特性,本文提出了一种基于透明缓存的机制。利用该机制,可以将移动网络中出现的重复数据和数据路径缓存在特定的移动节点中。从而缩短了访问数据的路径和时间跨度,提高了数据的重复利用率,减少了带宽的使用和电池的功耗
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引用次数: 9
Automatic seal imprint verification system for bank check processing 自动印鉴系统,用于银行支票处理
K. Ueda, Ken'ichi Matsuo
In this paper, we propose a multi-expert seal imprint verification system. The system has been specifically designed for applications in the Japanese bank check processing. A difficult problem encountered in automatic seal imprint verification is that the system is required an extremely low error rate despite of using a small number of reference data for training. To conquer this problem, it combines two different algorithms for seal imprint verification. A seal imprint is first extracted from bank check image based on color features. The first verification algorithm is based on a method using local and global features of seal imprint. The second algorithm uses a special correlation based on a global approach. The two algorithms are combined in the multi-expert system by a voting strategy. Experimental results showed that the combination of the two algorithms improves significantly the verification performance both on "false-acceptance error rate" and "false-rejection error rate".
在本文中,我们提出了一个多专家印章印记验证系统。该系统是专门为日本银行支票处理应用而设计的。在印鉴自动验证中遇到的一个难题是,尽管使用少量的参考数据进行训练,但系统需要极低的错误率。为了解决这个问题,它结合了两种不同的印章印记验证算法。首先根据颜色特征从银行支票图像中提取印章印记。第一种验证算法是基于印鉴的局部特征和全局特征相结合的方法。第二种算法使用基于全局方法的特殊相关性。通过投票策略将两种算法结合在多专家系统中。实验结果表明,两种算法的结合在“误接受错误率”和“误拒绝错误率”两方面都显著提高了验证性能。
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引用次数: 22
Iris Feature Extraction Using 2D Phase Congruency 基于二维相位一致性的虹膜特征提取
Xiaoyan Yuan, P. Shi
Iris feature extraction is the crucial stage of the whole iris recognition process for personal identification. A brief survey is made firstly in this paper on the methods that feasibly implemented in iris feature extraction. Because the iris capture devices in use are mostly exposed to the natural scene, so the natural illumination or other variant conditions sometimes can greatly influence the iris images captured and further impact the recognition result. Out of this consideration, we made some experimental try to extract the iris feature using the 2D phase congruency, which invariant to changes in intensity or contrast, to try to avoid those problems
虹膜特征提取是整个虹膜识别过程中进行个人身份识别的关键阶段。本文首先对虹膜特征提取中可行的方法进行了简要综述。由于使用中的虹膜捕获设备大多暴露在自然场景中,因此自然光照或其他可变条件有时会极大地影响捕获的虹膜图像,进而影响识别结果。出于这个考虑,我们做了一些实验尝试,使用二维相位一致性提取虹膜特征,它不受强度或对比度变化的影响,试图避免这些问题
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引用次数: 47
Multimedia Multicast Using SPLIT and Layered FEC 使用SPLIT和分层FEC的多媒体组播
N. Chilamkurti, B. Soh
In this paper, we propose the use of layered forward error correction (FEC) as an error control mechanism in a layered video protocol known as "SPLIT". By organizing FEC into multiple layers, a receiver can obtain different level of protection with respect to the channel capacity. By effectively dropping data layers, overall effective bandwidth can also be achieved. In our work, we integrated Reed-Solomon based FEC error control into SPLIT protocol, which is a priority based protocol. We used NS-2 simulator to evaluate FEC on SPLIT protocol and the results show that the video quality can be significantly improved at the same communication rate when layered FEC is used
在本文中,我们提出在分层视频协议“SPLIT”中使用分层前向纠错(FEC)作为错误控制机制。通过将FEC组织成多层,接收器可以根据信道容量获得不同级别的保护。通过有效地减少数据层,还可以实现总体有效带宽。在我们的工作中,我们将基于Reed-Solomon的FEC错误控制集成到SPLIT协议中,这是一个基于优先级的协议。利用NS-2仿真器对SPLIT协议下的FEC进行了仿真,结果表明,在相同的通信速率下,分层FEC可以显著提高视频质量
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引用次数: 2
期刊
Third International Conference on Information Technology and Applications (ICITA'05)
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