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5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)最新文献

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Innovation adoption forum for industry and public sector 工业和公共部门创新应用论坛
A. Karduck, O. S. Tumer
The Forum explicitly focuses on the transfer/adoption of innovation into practice or reality. The “Innovation Adoption Forum” consists of distinguished presentations by the participants from academia, industry and public sector, followed by Panel Sessions.
论坛明确侧重于将创新转化为实践或现实。“创新应用论坛”由来自学术界、工业界和公营机构的杰出人士作专题介绍,并举行专题讨论。
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引用次数: 0
Power saving technology for display 显示节电技术
Haksun Kim
Recent trend of bigger and high resolution mobile display for smart-phone leads the needs of high performance of power saving technologies. Among those technologies, the representative technology is PenTile L6W technology which uses RGBW pixel and sub-pixel rendering algorithm. In this paper, the PenTile L6W and the other technologies are introduced. To achieve this power saving, display pixel structure is re-designed, and power saving control technology and algorithm are being developed. But, to achieve high power saving performance, there could be some image quality issue. Therefore, image quality improvement technology is being combined with these power saving technologies. In the near future, better solutions for power saving technology are expected to show up.
近年来,智能手机移动显示屏的大型化、高分辨率的发展趋势带动了对高性能节能技术的需求。其中具有代表性的技术是PenTile L6W技术,该技术采用RGBW像素和亚像素渲染算法。本文介绍了PenTile L6W和其他技术。为了实现这一节电,重新设计了显示像素结构,并开发了节电控制技术和算法。但是,为了实现高节能性能,可能会出现一些图像质量问题。因此,图像质量改善技术正在与这些节能技术相结合。在不久的将来,更好的节能技术解决方案有望出现。
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引用次数: 2
Towards a places and spaces based city-wide mobile learning through multi-agent support 通过多智能体支持实现基于场所和空间的城市范围移动学习
A. B. Khan, A. Basit, M. Matskin, Chiara Rossitto
This paper illustrates how the conceptualization of Places can be used to inform the technical design of mobile learning system. We apply the concept of Place in a multi-agent framework for supporting informal city-wide mobile learning activities. By taking input from the theoretical framework for analysing collaborative learning activities, we adopt the structure and organization of multi-gent framework. The functionality and components of the system are defined in light of the theoretical work. This work bridges the gap between theory and it's application in technology for mobile learning in our project.
本文阐述了如何利用场所概念来指导移动学习系统的技术设计。我们将Place的概念应用于多代理框架中,以支持非正式的城市范围内的移动学习活动。在分析协作学习活动的理论框架中,我们采用了多主体框架的结构和组织。在理论工作的基础上,确定了系统的功能和组成。在我们的项目中,这项工作弥合了理论与移动学习技术应用之间的差距。
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引用次数: 4
A community based authentication and authorisation mechanism for digital ecosystem 一种基于社区的数字生态系统认证授权机制
I. Pranata, G. Skinner, R. Athauda
In this paper, we present a distributed mechanism for elevating resource protection in a Digital Ecosystem environment. The dynamic interaction and collaboration between Digital Ecosystem entities poise several main challenges in protecting the resources and information. First, a strong mechanism is needed to ensure only the authentic entities that are able to access the resources. Second, this mechanism must also maintain the confidentiality and integrity of resources over the untrusted network. Unfortunately, the existing mechanisms which focus on providing a centralized protection facade several issues ranging from single point failure to huge administrative burden. Therefore, we present a distributed mechanism to address these challenges. The inclusivity of community based trust approach in our mechanism further promotes its applicability to the Digital Ecosystem environment, on which it is heavily driven by the interacting entities. Public Key Infrastructure is employed to provide a strong protection during its access workflow.
本文提出了一种在数字生态系统环境下提升资源保护的分布式机制。数字生态系统实体之间的动态互动和协作解决了保护资源和信息的几个主要挑战。首先,需要一个强大的机制来确保只有真正的实体能够访问资源。其次,该机制还必须维护不可信网络上资源的机密性和完整性。不幸的是,专注于提供集中式保护的现有机制存在一些问题,从单点故障到巨大的管理负担。因此,我们提出了一种分布式机制来解决这些挑战。基于社区的信任方法在我们机制中的包容性进一步促进了其对数字生态系统环境的适用性,而数字生态系统环境在很大程度上是由相互作用的实体驱动的。公钥基础设施在访问过程中提供了强大的保护。
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引用次数: 8
Emulation of social network ecosystems: Dynamic modeling and visualisation on the example of the Indian Agropedia project 社会网络生态系统的仿真:动态建模和可视化对印度农业百科项目的例子
T. Kurz, Christoph Rucker, T. Heistracher
Simulation of social networks that is based on abstract features of existing infrastructures might lack reflectiveness. This paper discusses the multi-agent EvESim framework and its application to study processes in the social network Agropedia, which is a digital knowledge repository with an open platform for learning and sharing information related to Indian agriculture. The emulation capability of the EvESim framework delivers insights into social network bootstrap and growth.
基于现有基础设施抽象特征的社交网络模拟可能缺乏反思性。本文讨论了多代理EvESim框架及其在社交网络Agropedia中研究过程的应用,Agropedia是一个具有学习和共享印度农业相关信息的开放平台的数字知识库。EvESim框架的仿真功能提供了对社交网络引导和增长的见解。
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引用次数: 0
Community-driven ontology evolution based on lightweight social networking in Oil and Gas Domain 基于油气领域轻量级社交网络的社区驱动本体演化
A. Aseeri, P. Wongthongtham
Ontology evolution is one of the problems facing ontology users today. One of the problems is that making changes to one concept of ontology might affect other concepts, thereby leading to inconsistencies. Moreover, this creates a lot of work for ontology engineers who have to update the ontology manually. The process of changing the ontology requires work from the domain experts. No cost effective communication method exists that enables discussion and agreement on these changes. In this paper, we propose to use a lightweight Social Networking approach in order to enhance the communication between different participants. This will produce a more efficient and effective method of communication and decision-making.
本体演化是当前本体使用者面临的问题之一。其中一个问题是,更改本体的一个概念可能会影响其他概念,从而导致不一致。此外,这给本体工程师带来了大量的工作,他们必须手动更新本体。更改本体的过程需要领域专家的工作。目前还没有一种成本效益高的沟通方法能够就这些变化进行讨论并达成一致。在本文中,我们建议使用轻量级的社交网络方法来增强不同参与者之间的沟通。这将产生一种更有效的沟通和决策方法。
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引用次数: 4
Classifying eye and head movement artifacts in EEG signals 脑电信号中眼头运动伪影的分类
Neisha A. Chadwick, D. McMeekin, T. Tan
Brain Computer Interfaces has some exciting prospects such as controlling devices at the speed of thought. However BCI technology is far from attaining this goal. A significant challenge the EEG-based system has is the interference of artifacts in the EEG generated by eye and head movement. This paper presents the use of machine learning techniques to classify artifacts in the EEG. Successful artifact classification was then be applied to improve existing artifact removal techniques. The experiment used a state-of-the-art EEG system to gather the classifier input. An eye tracker and motion sensor were also used to measure and provide the ground truth for the classification experiments. The data from these devices were captured using custom built software developed for this research. The classifiers tested showed potential to classify artifacts in the EEG when trained on a per-person basis. This research paves the way for further work to be carried out to explore subject-independent artifact classification.
脑机接口有一些令人兴奋的前景,比如以思考的速度控制设备。然而,BCI技术远未达到这一目标。基于脑电图的系统面临的一个重大挑战是由眼睛和头部运动产生的脑电图中的伪影干扰。本文介绍了利用机器学习技术对脑电图中的伪影进行分类。然后应用成功的工件分类来改进现有的工件去除技术。实验使用了最先进的脑电图系统来收集分类器输入。眼动仪和运动传感器也被用来测量和提供分类实验的地面真实度。来自这些设备的数据是使用为本研究开发的定制软件捕获的。当对每个人进行训练时,测试的分类器显示出对EEG中的伪影进行分类的潜力。这项研究为进一步探索与主题无关的工件分类铺平了道路。
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引用次数: 51
An obstacle signaling system for the blind 盲人用的障碍物信号系统
D. Calder
Many commercial navigation aids suffer from a number of design flaws, the most important of which are related to the human interface that conveys information to the user. Aids for the visually impaired are lightweight electronic devices that are either incorporated into a long cane, hand-held or worn by the client, warning of hazards ahead. Most aids use vibrating buttons or sound alerts to warn of upcoming obstacles, a method which is only capable of conveying very crude information regarding direction and proximity to the nearest object. Some of the more sophisticated devices use a complex audio interface in order to deliver more detailed information, but this often compromises the user's hearing, a critical impairment for a blind user. The author has produced an original design and working prototype solution which is a major first step in addressing some of these faults found in current production models for the blind.
许多商业导航辅助设备存在许多设计缺陷,其中最重要的是与向用户传递信息的人机界面有关。视障人士的辅助设备是一种重量很轻的电子设备,可以装在一根长手杖上,由使用者手持或佩戴,警示前方的危险。大多数辅助设备使用振动按钮或声音警报来警告即将到来的障碍物,这种方法只能传达关于方向和距离最近物体的非常粗略的信息。一些更复杂的设备使用复杂的音频接口来传递更详细的信息,但这通常会损害用户的听力,这对盲人用户来说是一个严重的损害。作者已经制作了一个原始设计和工作原型解决方案,这是解决目前盲人生产模型中发现的一些缺陷的重要的第一步。
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引用次数: 15
Dynamic composition and reconfiguration of Internet-scale control systems 互联网规模控制系统的动态组成与重构
Evangelos Pournaras, M. Yao, R. Ambrosio
The runtime and life-cycle of distributed cyber-physical ecosystems is highly unpredictable and challenging to manage. A large number of spatially located control elements organize distributed control systems. These systems require dynamic interactions of their control elements during their runtime and life-cycle to tolerate failures, balance their computational load, scale and meet application requirements. This paper addresses the problem of dynamic composition and reconfiguration of these dynamic interactions in Internet-scale control systems. Rather than introducing a new middleware or mechanism with a limited applicability and integration in such systems, this paper introduces the ‘binding control model’ designed as a control system for higher abstraction, integration and applicability in distributed control systems. The binding control model, its possible granularity levels and its applicability are illustrated in this paper.
分布式网络物理生态系统的运行时间和生命周期具有高度的不可预测性和管理挑战性。大量空间分布的控制元件组成了分布式控制系统。这些系统需要在运行时和生命周期内控制元素的动态交互,以容忍故障,平衡其计算负载,扩展并满足应用需求。本文研究了互联网级控制系统中这些动态交互的动态组合和重新配置问题。本文介绍的“绑定控制模型”并不是在分布式控制系统中引入一种适用性和集成性有限的新中间件或机制,而是将其设计为一种在分布式控制系统中具有更高抽象性、集成度和适用性的控制系统。本文阐述了绑定控制模型及其可能的粒度级别和适用性。
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引用次数: 3
Real-time classification in tracking human using segmental feature and particle filter 基于分割特征和粒子滤波的人体跟踪实时分类
Dong-Kyu Ryu, M. Sugisaka, Jujang Lee
This paper propose the efficient method concerning verifying and tracking of human face. Recently, there has been much interest in automatically face recognition and tracking in many areas such as intelligent robotics, military, smart device applications and automatic surveillance system. Though there have been many demands about real-time face verification and tracking at the same time, however it is insufficient to research algorithm which accomplish tracking and verification simultaneously. Our goal is to solve these two problems at the same time to save computation time and elevate the performance. This algorithm is consisted of segmental feature and particle filter. It is theoretically based on discriminative common vector method and Fisher's LDA. The algorithm trains segmented and shift face image to obtain new segmental features, then we take orthogonal projection matrix using Gram-Schmidt orthogonal-ization. To solve tracking problem, particle filter algorithm is used.
提出了一种有效的人脸验证与跟踪方法。近年来,人脸自动识别和跟踪在智能机器人、军事、智能设备应用和自动监控系统等领域引起了人们的广泛关注。尽管人们对人脸的实时验证和跟踪同时进行的需求很多,但是对同时完成跟踪和验证的算法的研究还不够。我们的目标是同时解决这两个问题,以节省计算时间和提高性能。该算法由分割特征和粒子滤波两部分组成。它在理论上是基于判别公向量法和Fisher的LDA。该算法对分割和移位后的人脸图像进行训练,获得新的分割特征,然后采用Gram-Schmidt正交化方法取正交投影矩阵。为了解决跟踪问题,采用了粒子滤波算法。
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5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)
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