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

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Analysing tasks through the sonification application and user intrepretation construction models 通过声音应用和用户解释构建模型分析任务
Ag. Asri Ag. Ibrahim, Andy Hunt
This paper focuses on task analysis for sonification applications. The analysis is based on two models, namely the Sonification Application model and User Interpretation Construction model. Both are used to explain what the sonification application offers and what the user will perceive or interpret from the application's sonic output. This analysis gives an overview of the designer's intentions for the sonification application design.
本文重点介绍了超声应用中的任务分析。分析基于两个模型,即声化应用模型和用户解释构建模型。两者都用于解释超声应用程序提供的内容以及用户将从应用程序的声音输出中感知或解释的内容。这一分析概述了设计人员对超声应用程序设计的意图。
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引用次数: 0
Performance analysis of MIMO-OFDM channel re-estimation methods MIMO-OFDM信道重估计方法的性能分析
Wan A. W. M. Mahyiddin, K. A. Noordin
Multiple-input multiple-output orthogonal frequency division multiplex (MIMO-OFDM) is a wireless transmission system that is currently being deployed to the latest fourth generation wireless communication system (4G). Channel state information (CSI) is required at the receiver in order to calculate the optimum decoding matrix. Using training sequence, channel property can be calculated using channel estimation technique such as least square (LS) or minimum mean square error (MMSE). The accuracy of those techniques is limited by the number of training sequence that is used for channel estimation. In this paper, we suggest that instead of just using the training sequence only, the entire transmitted symbols can be used for channel estimation. In order to do that the channel property will be estimated twice before the desired data is decoded. The proposed method has higher accuracy of estimation compared to conventional method.
多输入多输出正交频分复用(MIMO-OFDM)是目前部署在最新的第四代无线通信系统(4G)中的一种无线传输系统。为了计算最佳解码矩阵,接收端需要信道状态信息(CSI)。利用训练序列,利用最小二乘(LS)或最小均方误差(MMSE)等信道估计技术计算信道属性。这些技术的准确性受到用于信道估计的训练序列数量的限制。在本文中,我们建议可以使用整个传输符号来进行信道估计,而不是仅仅使用训练序列。为了做到这一点,在解码所需数据之前,信道属性将被估计两次。与传统方法相比,该方法具有更高的估计精度。
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引用次数: 0
Implementing text information display of detected color for partially color blinded person using .NET platform and EmguCV library 利用。net平台和EmguCV库实现部分色盲患者检测颜色的文本信息显示
B. G. Wicaksana, R. F. Sari
Color blindness is a form of generative deficiency where the patient lost the ability to recognize color, either particular color (partial color blind) or the whole color (total color blind). The disability of the patient to recognize color is potential to cause problems to the patient in daily life or in more specific area. To help the patient cope with problem in recognizing colors, a color blindness helping system is designed. This system is designed for embedded system and Windows Phone 7 using the concept of augmented reality. In this work, we have implemented an integrated color detection module integrated in color blind aid system in the form of application for embedded system and mobile application. Testing result on embedded system shows that the module is able to detect the color samples with the percentage of 69.33% using Hue Saturation Value (HSV) color model, and 90.67% using Hue Lightness Saturation (HLS) color model in a bright and ideal lighting condition. Testing on mobile application shows that the module is able to detect color samples with percentage of 11.33% using Red Green Blue (RGB) color model and 95.33% using HLS color model in a bright and ideal lighting condition.
色盲是一种生殖缺陷,患者失去了识别颜色的能力,要么是特定的颜色(部分色盲),要么是整个颜色(完全色盲)。患者识别颜色的残疾可能会给患者的日常生活或更具体的领域带来问题。为了帮助色盲患者解决识别颜色的问题,设计了色盲辅助系统。本系统采用增强现实的概念为嵌入式系统和Windows Phone 7设计。在本工作中,我们以嵌入式系统和移动应用程序的形式实现了集成在色盲辅助系统中的集成颜色检测模块。在嵌入式系统上的测试结果表明,在明亮理想的光照条件下,该模块使用色相饱和度(HSV)颜色模型检测颜色样本的准确率为69.33%,使用色相亮度饱和度(HLS)颜色模型检测颜色样本的准确率为90.67%。在移动应用上的测试表明,在明亮理想的光照条件下,该模块使用红绿蓝(RGB)颜色模型检测颜色样品的准确率为11.33%,使用HLS颜色模型检测颜色样品的准确率为95.33%。
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引用次数: 3
Image understanding using decision tree based machine learning 使用基于决策树的机器学习的图像理解
C. Agarwal, Abhilasha Sharma
Image Understanding, a discipline that concerns the interpretation of an image and analysis of the image to give a decision about the image and the actions represented in it. Decision tree is a tree based classification, widely used in data mining, which classifies the input data set into predefined classes. Decision tree approach is used here to train the image understanding system to perform supervised machine learning. The various low level characteristic features (color, shape, texture) of the image form the various attributes of the decision tree among others. This paper presents the application of the decision tree approach for image understanding. It also discusses an algorithm to calculate the relative distance between the retrieved results, as a sub process required in the proposed approach. The paper describes the production rules required to generate the decision tree. An example study is used to describe the image understanding process in a descriptive manner.
图像理解,一门涉及图像解释和图像分析的学科,以对图像及其所代表的动作做出决定。决策树是一种基于树的分类方法,广泛应用于数据挖掘中,它将输入的数据集划分为预定义的类。这里使用决策树方法来训练图像理解系统执行监督机器学习。图像的各种低级特征(颜色、形状、纹理)构成决策树的各种属性。本文介绍了决策树方法在图像理解中的应用。本文还讨论了一种计算检索结果之间相对距离的算法,这是该方法所需的子过程。本文描述了生成决策树所需的生成规则。通过实例研究,以描述性的方式描述图像理解过程。
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引用次数: 23
A study of process improvement best practices 对过程改进最佳实践的研究
Aedah Abd Rahman, S. Sahibuddin, S. Ibrahim
Software project success depends on various reasons including project control, software standards and procedures. Software development organizations realize the importance of using best practices to improve software development practices. An increasing number of literature have described about process improvement best practices and standards. Formal process improvement frameworks have emerged widely to promote the use of systematic processes for software engineering. These approaches identify best practices for managing software engineering quality. They provide methods for assessing an organization's process maturity level and capability. In this article, recent process improvement best practices and standards are presented. Its objective is to analyze the existing approaches towards software process improvement initiatives. Another objective is to determine the issues related to adoption of process improvement and standards. The research outcome is to obtain the significant process improvement issues and formulate a classification of generic steps for process improvements.
软件项目的成功取决于多种原因,包括项目控制、软件标准和程序。软件开发组织意识到使用最佳实践来改进软件开发实践的重要性。越来越多的文献描述了过程改进的最佳实践和标准。正式的过程改进框架已经广泛出现,以促进软件工程中系统过程的使用。这些方法确定了管理软件工程质量的最佳实践。它们为评估组织的过程成熟度级别和能力提供了方法。在本文中,介绍了最近的过程改进最佳实践和标准。它的目标是分析软件过程改进计划的现有方法。另一个目标是确定与采用过程改进和标准有关的问题。研究结果是获得过程改进的重要问题,并制定过程改进的通用步骤分类。
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引用次数: 14
Conversion the time dependent grid data of NetCDF to SEDRIS transmittal format 将NetCDF的时变网格数据转换为SEDRIS传输格式
W. Hwam, Y. Chung, Y. Kwon, S. C. Park
Distributed Interactive Simulation of Modeling and Simulation in the field of national defense has a problem of interoperability among heterogeneous simulators. The problem is caused of simulators are limited due to environmental, and it is obstacle to interchange the data. Therefore, intermediate standard data format was required to interchange environmental data to solve the problem. SEDRIS were intent to be developed the standard intermediate format. SEDRIS provide a standard interchange mechanism to distribute environmental data and promotes reusability of the data. SEDRIS are broad enough to represent all environmental things, but also complicated to use for constructing environmental structure. Interchange via SEDRIS require converters between SEDRIS transmittal format(STF) and others. This study addresses converting and verifying process from NetCDF, which has time-dependent grid environmental structure to STF. In addition, this study suggests efficient DRM structure for time-dependent grid environmental data.
国防领域的分布式交互仿真建模与仿真存在着异构仿真器之间的互操作性问题。这主要是由于仿真器受环境的限制,以及数据交换的障碍造成的。因此,需要使用中间标准数据格式来交换环境数据以解决问题。SEDRIS的目的是开发标准的中间格式。SEDRIS提供了一种标准的交换机制来分发环境数据并促进数据的可重用性。SEDRIS足够广泛,可以表示所有环境事物,但在构建环境结构时也很复杂。通过SEDRIS交换需要SEDRIS传输格式(STF)和其他格式之间的转换器。本文研究了从具有时变网格环境结构的NetCDF到STF的转换和验证过程。此外,本文还提出了一种有效的时变网格环境数据DRM结构。
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引用次数: 5
Security, trust and privacy (STP) framework for federated single sign-on environment 用于联邦单点登录环境的安全、信任和隐私(STP)框架
Zubair Ahmad Khattak, S. Sulaiman, J. Manan
Trust and privacy are hot and open concerns in Open Environment (OE). The Conventional Computing Platform (CCP) is deficient of platform trust that raises security concerns such as ‘phishing’ attacks. The Trusted Computing Group (TCG) took an initiative to tackle security and trust anxieties in OE via Trusted Platform Module (TPM) and Remote Attestation (RA). However, the current RA technique has its own limitation i.e. missing of Mutual Attestation (MA) and platform privacy fears in OE. The Federated Single Sign-on (FSSO) scheme such as Shibboleth allows its users to access a resource across domains in a privacy preserving manner but what is still missing; it is the mutual platform trust establishment among client and Identity Provider (IdP) platforms in OE. In this paper, we embrace MA technique and integrated in Shibboleth with UserName (UN) to guarantee user is a legitimate owner of UN but also his/her and home domain IdP platform mutually authenticated. Hence, we achieves (a) strong security with two factor authentication i.e. UN and mutual attestation, (b) mutual platform trust establishment between the client and IdP machines, and (c) resource access in privacy protecting manner. We practicality demonstrate unified STP Framework notion for FSSO environment by Testbed prototype implementation that confirms productivity and scalability of our approach.
信任和隐私是开放环境(OE)中的热点和开放性问题。传统计算平台(CCP)缺乏平台信任,这引起了诸如“网络钓鱼”攻击等安全问题。可信计算组(TCG)通过可信平台模块(TPM)和远程认证(RA)主动解决OE中的安全和信任问题。然而,目前的RA技术有其自身的局限性,即在OE中缺少相互认证(MA)和平台隐私担忧。联邦单点登录(FSSO)方案,如Shibboleth允许其用户以保护隐私的方式跨域访问资源,但仍然缺少什么;它是OE中客户端与身份提供者(IdP)平台之间的相互平台信任的建立。本文采用了MA技术,并在Shibboleth中集成了UserName (UN),以保证用户是UN的合法所有者,并且他/她与主域IdP平台相互认证。因此,我们实现了(a)通过UN和相互认证两因素认证的强安全性,(b)在客户端和IdP机器之间建立相互的平台信任,(c)以隐私保护的方式访问资源。通过Testbed原型实现,验证了统一STP框架在FSSO环境下的可行性和可扩展性。
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引用次数: 6
An adaptive method for structured replication data-centric storage in wireless sensor networks 无线传感器网络中结构化复制数据中心存储的自适应方法
Pooya Hejazi, Hamed Hassanzadeh Amin
Data-centric storage solutions are energy-efficient algorithms in wireless sensor networks and will greatly reduce total network load. However, storage nodes will become bottlenecks when the amount of events and queries targeted for a particular node is more than its capacity. This paper proposes a novel approach that brings load-balancing and scalability to the network as well as its ability to adapt itself to network conditions. This adaptability is made possible through a load-control mechanism provided by two thresholds which are responsible for changing hierarchy depth and the number of storage replicas as the frequency of events fluctuates in the network. Thus, the proposed method will not only reduce storage cost when the event frequency is high but also prevents hotspot problem in the root storage node. Moreover, it will reduce query traffic by merging replica nodes as the event frequency goes back to its normal state. Also, a simulator based on discrete-event system simulation methodology is developed to evaluate the proposed method on the basis of storage traffic, query traffic and the number of dead sensors. The result of evaluation shows that the proposed method has performance improvement over other compared methods.
以数据为中心的存储解决方案是无线传感器网络中的节能算法,将大大降低网络总负载。但是,当针对特定节点的事件和查询数量超过其容量时,存储节点将成为瓶颈。本文提出了一种新颖的方法,使网络具有负载平衡和可扩展性以及适应网络条件的能力。这种适应性是通过两个阈值提供的负载控制机制实现的,这两个阈值负责随着网络中事件的频率波动而改变层次结构深度和存储副本的数量。因此,该方法在事件频率高的情况下,既降低了存储成本,又避免了根存储节点出现热点问题。此外,当事件频率恢复到正常状态时,它将通过合并副本节点来减少查询流量。此外,基于离散事件系统仿真方法开发了一个模拟器,以存储流量、查询流量和失效传感器数量为基础对所提出的方法进行了评估。评价结果表明,该方法与其他比较方法相比,性能有所提高。
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引用次数: 2
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ICIMU 2011 : Proceedings of the 5th international Conference on Information Technology & Multimedia
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