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2013 13th International Symposium on Communications and Information Technologies (ISCIT)最新文献

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A novel region-based image segmentation method using SVM and D-S evidence theory 一种基于支持向量机和D-S证据理论的图像区域分割方法
Shuai Li, Lei Tao, Xiaojun Jing, Songlin Sun, Yueming Lu, Cheng-lin Zhao, Na Chen
Region-based image segmentation is an important preprocessing step for high-level computer vision tasks. This paper presents a novel approach to image partition into regions that reflect the objects in a scene. It explores the feasibility of utilizing Gray Level Co-occurrence Matrix (GLCM) and RIQ color feature of regions to improve the segmentation results produced by Recursive Shortest Spanning Tree (RSST) algorithm. Combination of Support Vector Machine (SVM) and Dempster-Shafer (D-S) theory is applied to the field of region merging. In the proposed algorithm, SVM is utilized as the identifier, and Basic Belief Assignment (BBA) function is constructed accordingly. Fused BBAs are obtained by applying the D-S evidence theory to the outputs of the identifiers. The experimental results show that the proposed method provides higher accuracy and stability when compared with the original RSST segmentation algorithm.
基于区域的图像分割是高级计算机视觉任务的重要预处理步骤。本文提出了一种新的图像分割方法,将图像分割成反映场景中物体的区域。探讨了利用灰度共生矩阵(GLCM)和区域的RIQ颜色特征改进递归最短生成树(RSST)算法分割结果的可行性。将支持向量机(SVM)与Dempster-Shafer (D-S)理论相结合,应用于区域合并领域。在该算法中,利用支持向量机作为标识符,构造基本信念分配(BBA)函数。将D-S证据理论应用于标识符的输出,得到融合的bba。实验结果表明,与原有的RSST分割算法相比,该方法具有更高的精度和稳定性。
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引用次数: 1
Peered-CDN through request routing peering system for Video-on-Demand 基于请求路由的视频点播对等cdn系统
Hwaai Shian Kee, P. Lau, Sungkwon Park
Demand for videos delivered through Internet increased rapidly in recent years. In order to reduce the workload for origin server and to increase the reliability of video delivered, a dedicated content delivery network (CDN) is needed. CDN, these days, could provide a reliable network to deliver videos, often representing the origin server, to serve clients' request. Request routing peering system usually are able to route clients' request to an “appropriate” server, named as surrogate server, within a CDN. However, due to the cost involved for setting up new surrogate server, as the number of client increases, herewith, peering of CDN is being introduced to increase the capacity and the coverage, i.e. collaborating with several CDN. Our idea is to re-route a request to other CDNs when the request for a video in a particular CDN could not be found. In this paper, we also analyze the performance of such request routing system which is based on two policies, namely; (1) closest surrogate server, and (2) workload balance, in order to re-route requests to a “suitable” surrogate server, thus, providing a stably high throughput with low error rate when delivering videos to clients. The simulation results show that closest surrogate server policy performed better during non-peak hour while workload balance policy performed better during peak hour.
近年来,通过互联网传送视频的需求迅速增长。为了减少源服务器的工作量,提高视频传输的可靠性,需要专门的内容分发网络CDN (content delivery network)。如今,CDN可以提供一个可靠的网络来传送视频,通常代表原始服务器,以满足客户的请求。请求路由对等系统通常能够将客户端的请求路由到CDN内的“适当”服务器(称为代理服务器)。然而,由于建立新的代理服务器涉及成本,随着客户端数量的增加,因此引入CDN对等连接来增加容量和覆盖范围,即与多个CDN协作。我们的想法是,当无法找到特定CDN中的视频请求时,将请求重新路由到其他CDN。本文还分析了这种基于两种策略的请求路由系统的性能。(1)最近的代理服务器,以及(2)工作负载平衡,以便将请求重新路由到“合适的”代理服务器,从而在向客户端交付视频时提供稳定的高吞吐量和低错误率。仿真结果表明,最近代理服务器策略在非高峰时段性能较好,而工作负载平衡策略在高峰时段性能较好。
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引用次数: 1
Identification of lung cancer associated protein by clique percolation clustering analysis 肺癌相关蛋白的团渗聚类分析
Nilubon Kurubanjerdjit, Chien-Hung Huang, K. Ng
Identification of cancer associated proteins is the crucial problem in cancer research. Recently various techniques have been developed to discover novel cancer genes/proteins. Topological network of protein-protein interaction with their gene ontology annotation are good predictors of cancer proteins. Protein-protein interaction information has provided a basis for studying the cancer cellular network. In this study, we implemented clique percolation clustering approach on lung cancer protein-protein interaction information to identify cancer associated proteins, the enriched protein biological function in molecular networks of the clique motif and also the enriched KEGG pathways were observed.
癌症相关蛋白的鉴定是癌症研究中的关键问题。最近发展了各种各样的技术来发现新的癌症基因/蛋白质。蛋白质相互作用的拓扑网络及其基因本体注释是癌症蛋白的良好预测指标。蛋白质-蛋白质相互作用信息为研究癌细胞网络提供了基础。在本研究中,我们对肺癌蛋白-蛋白相互作用信息采用团簇渗透聚类方法来鉴定癌症相关蛋白,并观察了团簇基序分子网络中富集蛋白的生物学功能以及富集的KEGG通路。
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引用次数: 1
Performance of block diagonalization scheme for multiuser MIMO downlink heterogeneous channels 多用户MIMO下行异构信道块对角化方案的性能研究
Md. Hashem Ali Khan, M. Lee
Block diagonalization (BD) is a linear precoding technique for multiuser multi-input multi-output (MIMO) broadcast channel that sends multiple interference free data streams to different users in the same cell. In this paper, we investigated the capacity of a multiuser multiple input multiple output (MIMO) system employing the block diagonalization scheme in presence of spatial correlation. The optimized diagonalization technique with power allocation scheme is proposed and verified.
块对角化(BD)是一种多用户多输入多输出(MIMO)广播信道的线性预编码技术,可向同一小区的不同用户发送多个无干扰的数据流。本文研究了存在空间相关性的多用户多输入多输出(MIMO)系统的块对角化容量。提出并验证了带功率分配方案的优化对角化技术。
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引用次数: 4
A 10-bit nanoampere level current-steering Digital to Analog Converter 一个10位纳安培级电流转向数模转换器
Qiang Huang, Jun Feng
A 10-bit Digital-to-Analog Converter (DAC) in Charted 0.35um technology is presented. The design realizes a 10-bit, 25MS/s sampling rate and 10nA of the least significant bit output current DAC in the current steering structure. The whole DAC consists of synchronous unit circuit, decoding circuit, switch array, voltage-current transition circuit, current source array, output current mirror and so on. The area of the chip is 1.15μm×1.28μm. The power supply is 3.3V, the static power consumption is 4.8mW, the integral nonlinearity (INL) is 1LSB, the differential nonlinearity (DNL) is 1LSB. The test shows that the chip has a good performance on linearity when linearly increasing data is input.
介绍了一种采用图0.35um技术的10位数模转换器(DAC)。本设计在电流转向结构中实现了一个10位、25MS/s采样率和10nA最低有效位输出电流的DAC。整个DAC由同步单元电路、译码电路、开关阵列、压流转换电路、电流源阵列、输出电流镜等组成。芯片的面积为1.15μm×1.28μm。电源3.3V,静态功耗4.8mW,积分非线性(INL)为1LSB,差分非线性(DNL)为1LSB。测试表明,当输入线性递增的数据时,该芯片具有良好的线性性能。
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引用次数: 3
Low-voltage high gain, high CMRR and rail-to-rail bulk-driven Op-amp using feedforward technique 采用前馈技术的低压高增益、高CMRR和轨对轨批量驱动运放
Thawatchai Thongleam, S. Suwansawang, Varakorn Kasensuwan
A low voltage fully differential CMOS Op-amp is presented in this paper. The input stage of the circuit is designed using bulk-driven transistors while the output stage are connected in the class AB operation using by QFG transistors techniques. The auxiliary transconductance feedforward circuit are employed to circuit operate high gain and high CMRR. The proposed amplifier is designed using 0.18 μm CMOS technology, and verify by HSPICE. The simulation results show rail-to-rail input and output swings. The open-loop gain and phase margin are 70.6 dB and 55°. Eventually, the gain-bandwidth product, the CMRR, and the power consumption are 31.7 MHz (CL=20 pF), 158.8 dB (at 1 kHz) and 220.35 μW, respectively.
介绍了一种低压全差分CMOS运算放大器。电路的输入级采用体积驱动晶体管设计,输出级采用QFG晶体管技术连接到AB类操作。采用辅助的跨导前馈电路实现高增益和高共模比。该放大器采用0.18 μm CMOS工艺设计,并通过HSPICE验证。仿真结果显示了轨间输入和输出的波动。开环增益和相位裕度分别为70.6 dB和55°。最终,增益带宽积、CMRR和功耗分别为31.7 MHz (CL=20 pF)、158.8 dB (1khz)和220.35 μW。
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引用次数: 9
Receptive field resolution analysis in convolutional feature extraction 卷积特征提取中的感受野解析分析
E. Phaisangittisagul, Rapeepol Chongprachawat
Instead of introducing new learning algorithm for solving complex classification tasks, many research groups in machine learning have focused on creating a good feature representation. In addition, labeled data is often difficult and expensive to obtain sufficiently large amount of data. So, learning features from unlabeled data is proposed since unlabeled data is much easier to obtain than the labeled data. In this work, a highlevel feature representation is created by a sparse autoencoder with convolutional extraction. A sparse autoencoder is an unsupervised feedforward neural network that is trained to predict the input itself and has been widely used for learning good feature representation. A major advantage of this feature extraction approach not only provides good feature representation for higherlevel tasks but also can scale up to large images. However, there are several parameters that require careful selection to obtain high performance. The main objective in this work is to present a detailed analysis on the effect of receptive field resolution in handwritten classification based on MNIST database. In the experiment, the results show that receptive field resolution is one of the critical parameters to achieve state-of-the-art performance.
机器学习领域的许多研究小组都专注于创建良好的特征表示,而不是引入新的学习算法来解决复杂的分类任务。此外,要获得足够大的数据量,标记数据通常是困难和昂贵的。因此,由于未标记数据比标记数据更容易获得,因此提出了从未标记数据中学习特征。在这项工作中,使用卷积提取的稀疏自编码器创建了高级特征表示。稀疏自编码器是一种无监督的前馈神经网络,它被训练来预测输入本身,并被广泛用于学习良好的特征表示。这种特征提取方法的一个主要优点是不仅为高级任务提供了良好的特征表示,而且可以扩展到大型图像。但是,有几个参数需要仔细选择才能获得高性能。本文的主要目的是详细分析基于MNIST数据库的手写体分类中感受野分解的影响。实验结果表明,接收野分辨率是实现最先进性能的关键参数之一。
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引用次数: 4
An experimental performance analysis of an image super resolve reconstruction based on the high-frequency image prediction under several blurred and noisy environments 基于高频图像预测的图像超分辨重建在几种模糊和噪声环境下的实验性能分析
V. Patanavijit, C. Pirak, G. Ascheid
According to tremendous demands of high spatial resolution images, the brilliant research efforts in the area of image resolution enhancement algorithms have been raised hence the simple and fast computational resolution enhancement algorithms have been very attracted in the modern digital devices such as smart phone, CCTV, digital camera, etc. Due to its performance and fast computational time, this paper empirically experimental investigates the performance of the single image super resolve reconstruction based on the high-frequency image prediction for up to 14 standard test images. This paper has three main contributions. The first contribution is an experimental comprehensive study of an optimal interpolation technique selection and an optimal number of gradient directions in single image super resolve reconstruction based on the high-frequency image prediction under a noiseless environment. Moreover, the study of optimal M0 parameter selection is computationally explored for this environment. The second contribution is a study of an experimental performance of the reconstruction under several blurred environments at different blurred variance. Moreover, the study of optimal M0 parameter selection is computationally analyzed for this blurred environment. Finally, the last contribution is a study of an experimental performance of the reconstruction under several noisy environments at different noise power levels and the study of the optimal M0 parameter selection is analyzed.
随着人们对高空间分辨率图像的巨大需求,图像分辨率增强算法的研究得到了蓬勃发展,简单快速的计算分辨率增强算法在智能手机、闭路电视、数码相机等现代数字设备中得到了广泛的应用。基于高频图像预测的单幅图像超分辨重建算法的性能和快速的计算时间,本文对多达14幅标准测试图像进行了实验研究。本文有三个主要贡献。第一个贡献是对基于无噪声环境下高频图像预测的单幅图像超分辨重建中最优插值技术选择和最优梯度方向数的实验综合研究。并对该环境下M0参数的最优选择进行了计算探索。第二个贡献是研究了在不同模糊方差下几种模糊环境下重建的实验性能。并对该模糊环境下最优M0参数选择的研究进行了计算分析。最后,研究了在不同噪声功率水平下的几种噪声环境下重建的实验性能,并分析了最优M0参数选择的研究。
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引用次数: 5
Multi-cloud computing platform support with model-driven application runtime framework 模型驱动的应用运行时框架支持多云计算平台
Nacha Chondamrongkul, P. Temdee
Cloud computing benefits software development by providing elastic resource pool and lower total IT investment; however there are still open issues such as security that we outsource data storage to third party without knowledge of where the data is actually stored, and software developed for particular cloud platform are technological lock-in which increase the cost of migration to other platform. This paper aims to solve these open issues by the proposed framework that serves as a runtime environment for development and execution of an enterprise application based on Model-Driven Engineering (MDE). The framework aims to shield complexity in the software development on multi-cloud platforms by automates the process from design to deployment; and yet include mechanism to support the developer to adapt the application to deploy on different target cloud platforms. The framework is illustrated by given sample development of customer relationship management and billing software system.
云计算通过提供弹性资源池和更低的IT总投资而有利于软件开发;然而,仍然存在一些开放的问题,例如我们将数据存储外包给第三方而不知道数据实际存储在哪里,以及为特定云平台开发的软件是技术锁定的,这增加了迁移到其他平台的成本。本文旨在通过提出的框架来解决这些开放性问题,该框架作为基于模型驱动工程(MDE)的企业应用程序开发和执行的运行时环境。该框架旨在通过自动化从设计到部署的过程来屏蔽多云平台上软件开发的复杂性;而且还包括支持开发人员调整应用程序以部署在不同目标云平台上的机制。通过客户关系管理与计费软件系统的开发实例说明了该框架。
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引用次数: 2
Development of an embedded system for real time Heart Rate Variability analysis 嵌入式实时心率变异性分析系统的开发
R. Sutar, A. Kothari, A. Keskar
Electrocardiogram (ECG) is the most preferably used noninvasive test for diagnosis of cardiac rhythm. Irregular rhythm of heart beats is measured in terms of Heart Rate Variability (HRV). Analysis of HRV plays an important role in automated diagnosis of cardiac status. This paper deals with development of an embedded system suitable for real time HRV analysis. A low cost embedded system for monitoring an ECG has been developed using operational amplifiers and a Microchip's microcontroller. Digitized ECG has been transmitted serially to computer for real time analysis of HRV. Nonlinear energy associated with QRS complex is highest amongst the ECG beat. This feature has been utilized for QRS detection. Rest all the statistical markers for HRV are then computed with reference to the detected QRS. HRV analysis of 10 real subjects has been carried out using the embedded system. Results show that the proposed low cost embedded system is suitable for real time HRV analysis.
心电图(ECG)是诊断心律最常用的无创检查。不规则的心律是用心率变异性(HRV)来测量的。HRV分析在心脏状态的自动诊断中起着重要的作用。本文讨论了一种适合于实时HRV分析的嵌入式系统的开发。利用运算放大器和Microchip的微控制器,开发了一种低成本的心电监测嵌入式系统。将数字化的心电信号串行传输到计算机,实时分析心率波动。与QRS复合体相关的非线性能量在心电搏动中最高。该特性已被用于QRS检测。然后参照检测到的QRS计算HRV的所有统计标记。利用嵌入式系统对10名真实受试者进行了HRV分析。结果表明,所提出的低成本嵌入式系统适合于实时HRV分析。
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引用次数: 4
期刊
2013 13th International Symposium on Communications and Information Technologies (ISCIT)
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