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2009 Fourth International Multi-Conference on Computing in the Global Information Technology最新文献

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Speaker Recognition Using Spectral Dimension Features 基于谱维特征的说话人识别
Wen-Shiung Chen, Jr-Feng Huang
Biometric recognition is more and more important due to security applications all over the world. Mobile phone becomes popular in recent years. Therefore voice recognition for recognizing a speaker’s identity also plays a potential role. This paper presents a speaker recognition that combines a non-linear feature, named spectral dimension (SD), with Mel Frequency Cepstral Coefficients (MFCC). In order to improve the performance of the proposed scheme, the Mel-scale method is adopted for allocating sub-bands and the pattern matching is trained by Gaussian mixture model. Some problems related to spectral dimension are discussed and the comparison with other simple spectral features is made. We observe that our proposed methods can improve the performance in different components. For instance, speaker verification combining MFCC with our proposed SD features gives a good performance of EER=2.3140% by 32_Multi-GMM. The relative improvement is about 22% better than the method that is based only on MFCC with EER=2.9631%.
生物特征识别在安全领域的应用越来越受到重视。手机近年来变得很流行。因此,语音识别对于识别说话人的身份也发挥着潜在的作用。本文提出了一种结合非线性特征谱维(SD)和低频倒谱系数(MFCC)的说话人识别方法。为了提高方案的性能,采用mel尺度方法进行子带分配,采用高斯混合模型训练模式匹配。讨论了与光谱维数有关的一些问题,并与其他简单的光谱特征进行了比较。我们观察到,我们提出的方法可以提高不同组件的性能。例如,结合MFCC和我们提出的SD特征的说话人验证,通过32_Multi-GMM获得了EER=2.3140%的良好性能。相对于仅基于MFCC的方法提高了22%左右,EER=2.9631%。
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引用次数: 10
Ulmo: A System to Enable Mobile Applications Personalization by Binary SMS Ulmo:一个通过二进制短信实现移动应用个性化的系统
Mauro Teófilo, Alexandre Martini, P. Cruz
Usability and user interfaces play a huge and important role in today’s mobile application. Besides a good design, acceptable performance, scalability, and robustness, a mobile application needs to be easy to use and, to some extent, customizable. To create a system able to custom the mobile application’s user interface and mirror it immediately to final users is the purpose of this article. Ulmo is such system, which is composed by a web site that enables user to comfortably executes change in mobile application user interface, a mobile application compliant (providing API that facilitates mobile application Ulmo compliance development) and the communication module to mirror web adjustments in mobile phone, which was made using SMS technology. Its availability and low cost are also considered and its high penetration in emergent markets. Some aspects as security, data compression, and reliability are taken in account.
可用性和用户界面在当今的移动应用程序中扮演着巨大而重要的角色。除了良好的设计、可接受的性能、可伸缩性和健壮性之外,移动应用程序还需要易于使用,并且在某种程度上是可定制的。本文的目的是创建一个能够自定义移动应用程序的用户界面并将其立即镜像到最终用户的系统。Ulmo就是这样一个系统,它由一个可以让用户轻松地执行移动应用用户界面变化的网站、一个移动应用兼容(提供方便移动应用Ulmo兼容开发的API)和使用SMS技术在手机中反映web调整的通信模块组成。它的可用性和低成本以及它在新兴市场的高渗透率也被考虑在内。考虑了安全性、数据压缩和可靠性等方面的问题。
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引用次数: 4
BLOBOT: BLOcking BOTs at the Doorstep BLOBOT:挡在门口的机器人
G. Dini, Isidoro S. La Porta
In this paper we present BLOBOT, a tool for detecting botnets. BLOBOT detects botnets by detecting their command and control network. In contrast to common approaches that operate, often off-line, on aggregate network traffic, BLOBOT operates on a single user’s traffic so increasing the ability of detecting botnets in real-time. Blobot features a tradeoff between usability, security and efficiency. Preliminary experimental results prove that BLOBOT is an effective tool against botnets.
在本文中,我们提出了BLOBOT,一个检测僵尸网络的工具。BLOBOT通过检测僵尸网络的命令和控制网络来检测僵尸网络。与通常在聚合网络流量上离线操作的常见方法不同,BLOBOT在单个用户的流量上操作,从而提高了实时检测僵尸网络的能力。Blobot在可用性、安全性和效率之间进行了权衡。初步实验结果证明BLOBOT是一种有效的僵尸网络攻击工具。
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引用次数: 3
Middleware for the Development of Context-Aware Applications inside m-Learning: Connecting e-Learning to the Mobile World 移动学习中上下文感知应用开发的中间件:将电子学习连接到移动世界
S. Martín, R. Gil, E. S. Cristóbal, G. Díaz, M. Castro, J. Peire, M. Milev, N. Mileva
This paper addresses the issue of the creation of context-aware applications inside the Mobile-Learning approach. It tries to clarify aspects like the most suitable environments of application; how new features of mobile devices, such as GPS (Global Positioning System) receivers, motion sensors, etc., must be taken into account. It also addresses why most of the m-Learning applications do not make use of the existing services and knowledge of the Learning Management Systems, which are in fact the real pillars of the e-learning methodology. Finally, the architectural design of a context-aware framework created by the authors is described. The main contribution of this framework is to provide contextual information from different sources, including different kind of geographical sensors (allowing roaming among them) and external services. As result of the work, the middleware has been developed and it is being used in the development of several m-learning projects.
本文讨论了在移动学习方法中创建上下文感知应用程序的问题。它试图澄清一些方面,比如最适合的应用环境;如何考虑移动设备的新功能,如GPS(全球定位系统)接收器、运动传感器等。它还解释了为什么大多数移动学习应用程序没有利用学习管理系统的现有服务和知识,而这些服务和知识实际上是电子学习方法的真正支柱。最后,描述了作者创建的上下文感知框架的体系结构设计。该框架的主要贡献是提供来自不同来源的上下文信息,包括不同类型的地理传感器(允许在它们之间漫游)和外部服务。作为这项工作的结果,中间件已经被开发出来,并被用于几个移动学习项目的开发。
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引用次数: 18
Multilayer Perceptron versus Gaussian Mixture for Class Probability Estimation with Discontinuous Underlying Prior Densities 具有不连续先验密度的类概率估计的多层感知器与高斯混合
I. Lemeni
One of the most used intelligent technique for classification is a neural network. In real classification applications the patterns of different classes often overlap. In this situation the most appropriate classifier is the one whose outputs represent the class conditional probabilities. These probabilities are calculated in traditional statistics in two steps: first the underlying prior probabilities are estimated and then the Bayes rule is applied. One of the most popular methods for density estimation is Gaussian Mixture. It is also possible to calculate directly the class conditional probabilities using a Multilayer Perceptron Artificial Neural Network. Although it is not known yet which method is better in the general case, we demonstrate in this paper that Multilayer Perceptron is superior to Gaussian Mixture Model when the underlying prior probability densities are discontinuous along the support’s border.
神经网络是目前应用最广泛的智能分类技术之一。在实际的分类应用中,不同类的模式经常重叠。在这种情况下,最合适的分类器是其输出表示类条件概率的分类器。这些概率在传统统计学中是分两步计算的:首先估计潜在的先验概率,然后应用贝叶斯规则。最流行的密度估计方法之一是高斯混合。也可以使用多层感知器人工神经网络直接计算类条件概率。虽然目前还不知道哪种方法在一般情况下更好,但我们在本文中证明,当潜在的先验概率密度沿支持边界不连续时,多层感知器优于高斯混合模型。
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引用次数: 1
Revealing Software Engineering Theory-in-Use through the Observation of Software Engineering Apprentices' Course-of-Action 通过对软件工程学徒行为过程的观察揭示软件工程理论在用
V. Ribaud, P. Saliou
Theories of action study what an actor do, in a given situation, in order to achieve consequence or objectives. Argyris and Schön made a distinction between espoused theories - those that an individual claims to follow - and theories-in-use - those that can be inferred from action -. In the software engineering field, software processes and practices constitute the espoused theory, since it is what engineers claim to follow. But what engineers - and especially apprentices - do may reveal a different theory-in-use. The capstone project provides students, working in groups, with the possibility to reflect on her/his action and that may help making explicit theories-in-use. The course of action theory considers the observable aspect of the actor’s activity, i.e., what is presentable, accountable and commentable. The course-of-action observatory collects data on the courses-of-action. This observatory connects continuous observations and recordings of the agents’ behavior, the provoked verbalizations of these agents in activity and the agents' comments in self confrontation with recordings of their behavior. A case study, based on the activity of a team of 6 young software engineer apprentices is used to illustrate the building and the data collecting of the course-of-action observatory and the self-reconstruction of apprentices’ activity. As primary results of this work, we may think that self-observing and self-analyzing software engineer’s activity help to reveal her/his theory-in-use – what governs engineers’ behavior and tends to be tacit structures –and it may help them to learn more suitable theories-in-use, thus contributing to improve productivity and performance. In the special case of apprenticeship learning, it may form a part of an appropriate education intended to develop a reflective attitude.
行为理论研究行为者在特定情况下为了达到结果或目标所做的事情。Argyris和Schön区分了拥护的理论(个人声称遵循的理论)和正在使用的理论(可以从行动中推断出来的理论)。在软件工程领域,软件过程和实践构成了支持的理论,因为这是工程师声称要遵循的。但是工程师——尤其是学徒——所做的事情可能会揭示出一种不同的实用理论。顶点项目为学生提供了小组合作的机会,让他们反思自己的行为,这可能有助于制定明确的理论。行动理论课程考虑行为人活动的可观察方面,即什么是可呈现的、可解释的和可评论的。行动方案观测站收集行动方案的数据。这个观察站连接了连续的观察和记录代理人的行为,这些代理人在活动中被激怒的语言表达以及代理人在自我对抗中的评论与他们的行为记录。以6名年轻的软件工程师徒弟为例,阐述了行动过程观察站的建立、数据收集和徒弟活动的自我重构。作为这项工作的主要结果,我们可以认为,自我观察和自我分析软件工程师的活动有助于揭示他/她的使用理论——是什么支配着工程师的行为,并且趋向于隐性结构——它可以帮助他们学习更合适的使用理论,从而有助于提高生产力和性能。在学徒学习的特殊情况下,它可以成为旨在培养反思态度的适当教育的一部分。
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引用次数: 3
Feedback Impact Analysis of Queueing System with Stable States 状态稳定排队系统的反馈影响分析
R. Rindzevičius, P. Tervydis, A. Zvironiene, Z. Navickas
Feedback data packet flow rate control is one of solutions which have been extensively studied. Monitoring the buffer status is the most used method to increase performance of a queueing system. This mathematical approach is most useful for analysis a multivariable transmission network node. In this research we focus on major problem that need to achieve defined level quality of service. Data packet retransmission and buffer overflow impact for queueing system performance is investigated. In this paper proposed adaptive feedback data flow rate control methods can be used to achieve stability and satisfactory service quality of a queueing system. We also demonstrate how with our proposed data packet rate-control scheme the buffer overflow does not occur. Processes in feedback control queueing system are analyzed by means of Markov chains.
反馈数据包流量控制是目前研究较多的一种解决方案。监视缓冲区状态是提高排队系统性能最常用的方法。这种数学方法对多变量传输网络节点的分析最有用。在本研究中,我们重点研究了需要达到定义水平的服务质量的主要问题。研究了数据包重传和缓冲区溢出对排队系统性能的影响。本文提出了一种自适应反馈数据流速率控制方法,可以使排队系统达到稳定和满意的服务质量。我们还演示了如何使用我们提出的数据包速率控制方案来避免缓冲区溢出。利用马尔可夫链对反馈控制排队系统中的过程进行了分析。
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引用次数: 1
Small World Models in Linked Documents: Decomposition and Visualisation 链接文档中的小世界模型:分解和可视化
Zhengxu Zhao
This paper demonstrates the ability to build small world network models with linked documents in form of web pages and generated via software engineering processes. It shows that searchable paths are achievable between two entities in the models by using the algorithms of searching the related web pages. Visualization of the models is presented and the results confirm that the small world network models can be decomposed into sub-models which are in turn small world models. The findings enable the construction of the small world network models to be governed easily by a documentation process and the paths within the models to be established by searching the related web pages.
本文演示了用网页形式的链接文档构建小世界网络模型的能力,并通过软件工程过程生成。结果表明,采用搜索相关网页的算法,可以实现模型中两个实体之间的可搜索路径。对模型进行了可视化处理,结果证实了小世界网络模型可以分解成子模型,而子模型又是小世界模型。这些发现使得小世界网络模型的构建可以通过文档化过程来管理,并且可以通过搜索相关网页来建立模型中的路径。
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引用次数: 1
Enriching the E-learning Experience in the Framework of Web 2.0 Using Usability 2.0 利用可用性2.0丰富Web 2.0框架下的电子学习体验
David Gallula, Ariel J. Frank
The e-learning experience suffers from several known drawbacks; some resulting from the media in use, but some resulting from the unwise use of technology. The field that methodically deals with ways to utilize technologies and harness them for the users, in our case – the learners, is Human-Computer Interaction (HCI). The two major methods utilized are usability and user experiences. Web 2.0 has been creative with an approach that integrates these two methods – Usability 2.0 – distinguished from Usability 1.0 that is more oriented to usability. This work tries to understand how and in what way HCI methods can be used in order to enrich the e-learning experience. The research question investigated here is will the design of an e-learning environment in the framework of Web 2.0 (i.e., user content publishing and collaboration between users), via use of methodology and tools of Usability 2.0 (that integrates usability and user experiences) – enrich the e-learning experience itself. This work though only investigates the difference between the influences that Usability 2.0 has on the e-learning experience in comparison to Usability 1.0. The investigation was carried out on a student population from technological colleges in northern Israel. Quantitative tools were mainly used in this research while utilizing also qualitative tools. Quantitative outcomes confirmed that interface design using Usability 2.0 methods can enrich the e-learning experience. As was hypothesized, such an advanced interface enables an innovative flow experience and better perceived feeling of control of the learning process. In parallel, qualitative outcomes point to hardships encountered by the learners in their work with e-learning systems that were not designed using Usability 2.0.
电子学习体验有几个已知的缺点;有些是由于媒体的使用,但有些是由于对技术的不明智使用。系统地处理如何利用技术并利用它们为用户(在我们的例子中是学习者)服务的领域是人机交互(HCI)。使用的两种主要方法是可用性和用户体验。Web 2.0创造性地集成了这两种方法——可用性2.0——区别于更注重可用性的可用性1.0。这项工作试图了解如何以及以何种方式使用HCI方法来丰富电子学习体验。这里调查的研究问题是,通过使用可用性2.0的方法和工具(集成了可用性和用户体验),在Web 2.0框架下设计一个电子学习环境(即用户内容发布和用户之间的协作)是否会丰富电子学习体验本身。虽然这项工作只调查了可用性2.0与可用性1.0对电子学习体验的影响之间的差异。这项调查是在以色列北部技术学院的学生群体中进行的。本研究主要使用定量工具,同时也使用定性工具。量化结果证实,使用易用性2.0方法进行界面设计可以丰富电子学习体验。正如假设的那样,这样一个先进的界面可以带来创新的流体验和更好的学习过程控制感。同时,定性结果指出了学习者在使用没有使用可用性2.0设计的电子学习系统时遇到的困难。
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引用次数: 7
A Framework for Building a Decision Support System for Multi-level Job Assignment 构建多层次作业分配决策支持系统的框架
Patravadee Vongsumedh
Based on the previously proposed framework, the Web-base Job Assignment’s Decision Support System (WJADSS) was implemented and launched. The result of system evaluation pinned point that the degree of job satisfaction evaluated by both job supervisors and employees was increased. However, the given system did not completely support the multi-level job assignment process which is normally found in the project workflow. Therefore, a framework for building a web-based decision support system for supporting “multi-level job assignment process” and “collaborative workflow” within a project team is identified. The new system, called the “Web-based Multi-level Job Assignment’s DSS (WMJADSS), is now being implemented. The existing models are adjusted to support both single-level and multi-level job assignment. Moreover, to increase efficiency and effectiveness of work performed along the project workflow, the data stored in the repositories will be used for producing descriptive and procedural knowledge for project’s stakeholders.
基于上述框架,实现并推出了基于web的工作分配决策支持系统(WJADSS)。系统评价结果表明,工作主管和员工对工作满意度的评价都有所提高。然而,给定的系统并不完全支持通常在项目工作流中发现的多级任务分配过程。因此,确定了一个用于构建基于web的决策支持系统的框架,以支持项目团队中的“多级工作分配过程”和“协作工作流”。这个名为“基于网络的多层次工作分配决策支持系统”(WMJADSS)的新系统目前正在实施中。对现有模型进行了调整,以支持单级和多级工作分配。此外,为了提高沿着项目工作流执行的工作的效率和有效性,存储在存储库中的数据将用于为项目涉众生成描述性和程序性知识。
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引用次数: 1
期刊
2009 Fourth International Multi-Conference on Computing in the Global Information Technology
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