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ICIMU 2011 : Proceedings of the 5th international Conference on Information Technology & Multimedia最新文献

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EWA: An exemplar-based watermarking attack EWA:一种基于范例的水印攻击
A. Taherinia, M. Jamzad
In this paper, we used image inpainting as a means for reconstruction of small damaged portions of a watermarked image so that the hidden watermark is not detectable afterwards. Our new watermarking attack algorithm extends the exemplar-based inpainting method, and then we apply it to intended noisy watermarked images to alter the watermark detection process. Our approach is completely free from any pre-assumption on the watermarking algorithm or any other parameters that is used during the watermark embedding procedure. The average PSNR/SSIM of the watermarked image after applying the proposed attack is more than 35/0.98 and the average NC for extracted watermark is lowers than 0.5, so theoretically, the watermark is not detectable.
在本文中,我们使用图像修复作为一种手段来重建水印图像的小损坏部分,从而使隐藏的水印无法检测到。本文提出的水印攻击算法扩展了基于样本的水印方法,并将其应用于拟含噪声的水印图像,从而改变水印检测过程。我们的方法完全不需要对水印算法或水印嵌入过程中使用的任何其他参数进行任何预先假设。应用该攻击后,水印图像的平均PSNR/SSIM大于35/0.98,提取的水印的平均NC小于0.5,因此,从理论上说,水印是不可检测的。
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引用次数: 2
Adaptive resource allocation scheme for uplinks in IEEE 802.16 systems IEEE 802.16系统中上行链路的自适应资源分配方案
N. Tahir, K. A. Noordin
WiMAX is known as high speed network access and has a wide coverage. Although scheduling of the scarce wireless resources is important, however it has been left as an open issue for WiMAX. In this paper, we developed a heuristic approach to schedule various type of uplink traffic for IEEE802.16 while satisfying QoS requirements and providing fairness towards other services or users regardless of the physical layer condition. The proposed scheduler will aggregate minimum requirement of each type of services to avoid packet drop and distribute the remaining bandwidth using the round robin technique. Therefore this method is simple with low computational load yet manages to satisfy each user in demand. The analytical model is validated using Matlab programming to evaluate the performance of proposed method.
WiMAX被称为高速网络接入,具有广泛的覆盖范围。尽管稀缺无线资源的调度很重要,但对于WiMAX来说,调度一直是一个悬而未决的问题。在本文中,我们开发了一种启发式方法来调度IEEE802.16的各种类型的上行流量,同时满足QoS要求并为其他服务或用户提供公平,而不管物理层条件如何。建议的调度器将聚合每种类型服务的最小需求以避免丢包,并使用轮询技术分配剩余的带宽。因此,该方法简单,计算量小,但又能满足每个用户的需求。利用Matlab编程对分析模型进行了验证,并对所提方法的性能进行了评价。
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引用次数: 2
Performance analysis of coded-OFDM with RS-CC and Turbo codes in various fading environment RS-CC和Turbo码编码ofdm在各种衰落环境下的性能分析
A. Joshi, D. Saini
In wireless communication, to attain high throughput and better transmission quality. Orthogonal Frequency Division Multiplexing (OFDM) is one of the techniques for parallel transmission. It is used for a various services such as asymmetric digital subscriber lines, very-high speed digital subscriber lines, digital video and audio broadcasting, and wide local area network standards such as IEEE 802.11a, IEEE 802.11g, and European telecommunication standard institute (ETSI). However in fading environments the bit error rate (BER) increases. The performance can be improved by using some kind of channel coding. This form of OFDM is called coded-OFDM (COFDM). In this paper our aim is to analyze and compare the performance of COFDM using Turbo codes {with Log-MAP (Maximum A Posteriori) decoding} and Reed Solomon (RS) code with 1/2 and 2/3 convolution codes (CC) as channel coding techniques in Rayleigh, Rician & Nakagami fading environments. The performance parameter is BER and the mapping schemes used are BPSK, QPSK, 16-QAM and 64-QAM. All other parameters are as per IEEE 802.11a specifications.
在无线通信中,达到高吞吐量和较好的传输质量。正交频分复用(OFDM)是并行传输的一种技术。它用于各种业务,如非对称数字用户线路、超高速数字用户线路、数字视频和音频广播,以及IEEE 802.11a、IEEE 802.11g和欧洲电信标准协会(ETSI)等广域局域网标准。然而,在衰落环境下,误码率(BER)增加。通过使用某种信道编码可以提高性能。这种形式的OFDM称为编码OFDM (COFDM)。在本文中,我们的目的是分析和比较使用Turbo码{Log-MAP (Maximum A Posteriori)解码}和Reed Solomon码(RS)与1/2和2/3卷积码(CC)作为信道编码技术的COFDM在Rayleigh,专家和Nakagami衰落环境中的性能。性能参数为误码率,使用的映射方案有BPSK、QPSK、16-QAM和64-QAM。其他参数均按照IEEE 802.11a规范执行。
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引用次数: 20
Intelligent routing protocol for Multimedia Sensor networks 多媒体传感器网络的智能路由协议
A. Nayyar, F. Bashir, Ubaid-Ur-Rehman, Z. Hamid
The increase in the usefulness of WSNs, have lead to the transmission of multimedia content over these networks. This has escorted to the concept of Wireless Multimedia Sensor networks (WMSNs). Due to resource constrained structure of WSNs, special attention is required to route data in these networks. In this paper, we propose a novel routing protocol for WMSNs which establishes paths on the basis of traffic load, hop count and node energy. The protocol aims to find completely or partially disjoint paths for routing multimedia traffic with relatively minimum distance. Simulation results have shown that the proposed protocol is capable of finding intelligent path such that it increases throughput and avoid creation of network holes near the sink.
随着无线传感器网络的应用越来越广泛,多媒体内容的传输也越来越多。这就产生了无线多媒体传感器网络(wmsn)的概念。由于无线传感器网络的资源约束结构,需要特别注意这些网络中的路由数据。本文提出了一种基于流量负载、跳数和节点能量建立路径的wmsn路由协议。该协议旨在以相对最小的距离找到完全或部分不相交的路径来路由多媒体流量。仿真结果表明,该协议能够找到智能路径,从而提高吞吐量并避免在sink附近产生网络漏洞。
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引用次数: 5
Improved bully election algorithm in distributed systems 分布式系统中改进的欺凌选举算法
Abbas Arghavani, E. Ahmadi, A. Haghighat
In centralized algorithm for mutual exclusion, one process is elected as a coordinator. Whenever a process wants to go to critical section, it sends a request message to the coordinator and asks for permission. The election of coordinator is an important problem in distributed systems. After a failure occurs in the system, it is necessary to reelect a new leader as a coordinator. The bully election algorithm is one of the classic methods which is used to determine the process with highest priority number as the coordinator. But this algorithm often needs a lot of message passing to find out which process should be a new coordinator. In this paper we are going to propose an optimized method for the bully algorithm called modified bully algorithm. Our analytical simulation shows that, our algorithm has fewer message passing and is more efficient.
在互斥集中算法中,选择一个进程作为协调器。每当进程想要进入临界区时,它都会向协调器发送请求消息并请求许可。协调器的选择是分布式系统中的一个重要问题。在系统出现故障后,需要重新选举新的领导者作为协调者。霸选算法是确定优先级最高的进程作为协调器的经典方法之一。但是该算法通常需要通过大量的消息传递来确定哪个进程应该作为新的协调器。本文将提出一种对霸凌算法进行优化的方法,即修正霸凌算法。分析仿真结果表明,该算法的消息传递量更少,效率更高。
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引用次数: 20
Algorithm analyzer to check the efficiency of codes 算法分析器,检查代码的效率
T. A. Alvar, R. Atan
Efficiency of codes developed is always an issue in software development. Software can be said to be of good quality if the measurable features of the software can be quantitatively checked for adoption of standards or following certain set rules. Software metrics can therefore come into play in the sense of helping to measure certain characteristics of software. The issue and factors pertaining to efficiency of a code will be addressed by software metrics. Existing tools that are used to analyze several software metrics have come a long way in helping to assess this very important part of software development. This paper described how software metrics can be used in analyzing efficiency of the developed code in early stage of development. A tool (algorithm analyzer) was developed to enable analyze a given code to check its efficiency level and produce efficiency reports based on the analysis. The system is able to help the code checking whilst maintaining the standards of coding for its users. With the reports that are generated it would be easy for users to determine the efficiency of their object oriented codes.
代码开发的效率一直是软件开发中的一个问题。如果软件的可测量特性可以通过采用标准或遵循某些既定规则进行定量检查,则可以说软件质量好。因此,软件度量可以在帮助度量软件的某些特性的意义上发挥作用。与代码效率相关的问题和因素将通过软件度量来解决。用于分析几个软件度量的现有工具在帮助评估软件开发的这个非常重要的部分方面已经走过了很长的路。本文描述了在开发的早期阶段如何使用软件度量来分析所开发代码的效率。开发了一种工具(算法分析器)来分析给定的代码以检查其效率水平并根据分析生成效率报告。该系统能够在为用户维护编码标准的同时帮助代码检查。有了生成的报告,用户就可以很容易地确定其面向对象代码的效率。
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引用次数: 2
Searching & ranking Learning Objects in a Service Oriented Architecture for e-learning 面向服务的电子学习体系结构中学习对象的搜索与排序
L. Soo, E. Yeoh, S. Ho
This paper proposes a revised architecture for Service Oriented Architecture (SOA) e-learning system to enhance the reusability of the Learning Objects (LOs) by providing a personalized recommendation model (searching and ranking processes) which is having a shorter processing time, comparing with other approaches. The model counts the similarity degree between the learning objects and the search conditions given by users. The LOs with higher similarity degrees will then be ranked by referring to user's preference history records. Those LOs which are more closed with the user's preference record will be ranked higher in the search result list. The preference record is stored in database to record the details of LOs which are selected by user in the past. As the literature review, some different existing approaches based on recommendation models have been analyzed and compared with each other. Among those existing model, some approaches are focusing on personalized recommendation, while some approaches are focusing on improving the efficiency of the searching and ranking processes. Our contribution is to propose an idea of a recommendation model that is personalized and at the same time, the model should have a shorter processing time. Prototype system will be implemented in future to show the contribution.
本文提出了一种改进的面向服务体系结构(Service Oriented architecture, SOA)电子学习系统的体系结构,通过提供个性化的推荐模型(搜索和排序过程)来提高学习对象的可重用性,与其他方法相比,该模型具有更短的处理时间。该模型计算学习对象与用户给出的搜索条件之间的相似度。然后根据用户的偏好历史记录对相似度较高的LOs进行排序。那些与用户偏好记录更接近的LOs将在搜索结果列表中排名更高。偏好记录存储在数据库中,用于记录用户过去选择的LOs的详细信息。在文献综述中,对现有的几种基于推荐模型的不同方法进行了分析和比较。在现有的模型中,一些方法侧重于个性化推荐,而一些方法侧重于提高搜索和排名过程的效率。我们的贡献是提出了一种个性化的推荐模型的思想,同时该模型应该具有更短的处理时间。原型系统将在未来实现,以显示贡献。
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引用次数: 2
Fast Backpropagation Neural Network algorithm for reducing convergence time of BPNN image compression 减少bp神经网络图像压缩收敛时间的快速反向传播神经网络算法
Omaima N. A. Al-Allaf
Artificial neural networks (ANNs) especially Backpropagation Neural Network (BPNN) was used largely in image processing. The backpropagation neural network algorithm (BP) was used for training the BPNN for image compression/decompression. The BP requires long time to train the BPNN with small error. Therefore, in this research, a three layered BPNN was designed for building image compression system. The Fast backpropagation neural network algorithm (FBP) was used for training the designed BPNN to reduce the training time (convergence time) of BPNN as possible as. Many techniques were used to improve the use of FBP for BPNN training. This is done by using different architecture of BPNN by changing the number of input layer neurons and number of hidden layer neurons. Also we trained the BPNN with different FBP parameters. Finally, FBP results such as compression ratio (CR) and peak signal to noise ratio (PSNR) are computed and compared with BP results. From the results, we noticed that the use of FBP improve the BPNN training by reducing the convergence time of image compression learning process.
人工神经网络特别是反向传播神经网络在图像处理中得到了广泛的应用。采用反向传播神经网络算法(BP)训练BP神经网络进行图像压缩/解压缩。BP需要很长时间才能训练出误差小的BP神经网络。因此,本研究设计了一种三层bp神经网络来构建图像压缩系统。采用快速反向传播神经网络算法(FBP)对设计的bp神经网络进行训练,尽可能缩短bp神经网络的训练时间(收敛时间)。许多技术被用于改进FBP在bp神经网络训练中的使用。这是通过改变输入层神经元的数量和隐藏层神经元的数量,使用不同的BPNN结构来实现的。同时,我们用不同的FBP参数对bp神经网络进行训练。最后,计算FBP的压缩比(CR)和峰值信噪比(PSNR)等结果,并与BP结果进行比较。从结果中,我们注意到FBP的使用通过减少图像压缩学习过程的收敛时间来改善bp神经网络的训练。
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引用次数: 20
Fast retransmission mechanism and end to end QoS support for VoIP applications over IEEE 802.11e WLANs 快速重传机制和端到端QoS支持VoIP应用在IEEE 802.11e wlan
M. F. Tuysuz, H. A. Mantar
Real-time applications such as VoIP, video-conference or online games are delay-sensitive multimedia applications and require relatively small delay and small delay variation. Recently, IEEE 802.11 WLANs have reached an important stage and have become a common technology for wireless access due to its low cost, ease of deployment and mobility support. Its new standard, EDCA, has the ability to accommodate real-time traffic and provide relatively small delay. However, it cannot achieve small delay variation due to the burst feature of its backoff mechanism after a collision or a frame error. Since the real-time services such as Voice over IP (VoIP) has a delay constraint to guarantee a QoS, a fast retransmission scheme for corrupted frames is required. In this paper, we propose a new fast retransmission mechanism for VoIP frames to reduce the delay and delay variation. Then, we integrate our scheme with an Adaptive Jitter Buffer (AJB) algorithm to optimize end-to-end QoS performance. Simulation results indicate that proposed fast retransmission scheme reduces not only delay, delay variation and dropping probability of frames, but it also helps the AJB to support QoS maintaining voice quality at high level on EDCA-based WLANs.
实时应用(如VoIP、视频会议或在线游戏)是对延迟敏感的多媒体应用,需要相对较小的延迟和较小的延迟变化。近年来,IEEE 802.11无线局域网由于其低成本、易于部署和移动性支持,已经达到了一个重要的阶段,并已成为无线接入的通用技术。它的新标准EDCA能够适应实时流量,并提供相对较小的延迟。然而,由于其在发生碰撞或帧错误后退避机制的突发特性,无法实现较小的延迟变化。由于IP语音(VoIP)等实时业务具有延迟约束以保证QoS,因此需要对损坏的帧进行快速重传。在本文中,我们提出了一种新的VoIP帧快速重传机制,以减少延迟和延迟变化。然后,我们将该方案与自适应抖动缓冲(AJB)算法相结合,以优化端到端QoS性能。仿真结果表明,提出的快速重传方案不仅降低了时延、时延变化和帧丢包概率,而且有助于AJB支持QoS,在基于edca的无线局域网中保持高水平的语音质量。
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引用次数: 2
Emergence of social intelligence in social network: A quantitative analysis for agent-mediated PKM processes 社会网络中社会智力的出现:对代理介导的PKM过程的定量分析
S. Ismail, M. S. Ahmad
Social intelligence has been coined by authors in many aspects, with one of them being the sociability characteristics of a software agent in performing tasks over social network. This concept has been expanded from personal knowledge management (PKM) frameworks using agent mediation, where intelligent agents are assigned with tasks to assist their human counterparts. In recent studies, PKM processes are understood to be a series of getting knowledge, analysing/understanding knowledge, sharing/publishing knowledge and connecting to others for knowledge over the Internet and social network. The critical issue of this concept involves identifying and ‘locating’ knowledge experts for further enlightenment of one's personal knowledge. Taking into considerations the advantages of social network and the similarities between PKM processes and Nonaka's SECI model, the emergence of social intelligence are investigated in this paper by analysing the responses from a questionnaire survey on PKM processes over the social network. This paper also discusses the limitations of this research vis-à-vis the current situation where e-mail is still seen as the only reliable way to manage personal knowledge. It then recommends future works in the realm of social intelligence, involving software agents.
社交智能在许多方面都被作者创造出来,其中之一就是软件代理在社交网络上执行任务的社交性特征。这个概念是从使用代理中介的个人知识管理(PKM)框架扩展而来的,在这个框架中,智能代理被分配任务来帮助它们的人类对等体。在最近的研究中,PKM过程被理解为通过互联网和社交网络获取知识、分析/理解知识、分享/发布知识以及与他人建立知识联系的一系列过程。这一概念的关键问题包括识别和“定位”知识专家,以进一步启蒙个人知识。考虑到社会网络的优势,以及PKM过程与Nonaka的SECI模型的相似性,本文通过对社会网络上PKM过程的问卷调查结果的分析,探讨了社会智力的产生。本文还讨论了这项研究的局限性-à-vis目前的情况下,电子邮件仍然被视为唯一可靠的方式来管理个人知识。然后,它推荐未来在社会智能领域的工作,包括软件代理。
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引用次数: 22
期刊
ICIMU 2011 : Proceedings of the 5th international Conference on Information Technology & Multimedia
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