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Adaptive sensor/actuator networks for tracking environment control behaviors 用于跟踪环境控制行为的自适应传感器/执行器网络
Masayuki Nakamura, A. Sakurai, Takumi Yamada, Jiro Nakamura
To develop an energy-saving environment control system, we propose wireless sensor/actuator networks which classify the user's behaviors for environment control such as lighting and configure the network according to sensor node selection. In our system, a wireless remote control node monitors the user's environment control actions and occupancy sensor networks detect the user's movement simultaneously. The system learns the relationship among the responses of the remote control node and the occupancy sensor networks to classify the user's behaviors only with the occupancy sensor networks. The system chooses informative sensor nodes for the behavior classification based on the information gain criterion. These chosen nodes have high sensing cost. Sensor network routing is controlled based on the sensing cost and communication cost metric. In the resultant sensor networks, the sensing performance is the same as that in the original network, but the resources are successfully allocated to the nodes. In addition, less informative and redundant nodes are identified. We demonstrate tracking environment control behaviors and sensor node selection using the sensor/actuator networks testbed.
为了开发一个节能的环境控制系统,我们提出了无线传感器/执行器网络,该网络对用户的环境控制行为进行分类,如照明,并根据传感器节点的选择配置网络。在我们的系统中,无线遥控节点监控用户的环境控制动作,占用传感器网络同时检测用户的运动。系统学习远程控制节点和占用传感器网络的响应之间的关系,仅通过占用传感器网络对用户的行为进行分类。系统根据信息增益准则选择信息传感器节点进行行为分类。这些选择的节点具有较高的感知成本。基于感知成本和通信成本度量来控制传感器网络路由。在生成的传感器网络中,感知性能与原始网络相同,但资源被成功地分配给节点。此外,还可以识别信息较少和冗余的节点。我们使用传感器/执行器网络测试平台演示了跟踪环境控制行为和传感器节点选择。
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引用次数: 0
Counter-ant algorithm for evolving multirobot collaboration 进化多机器人协作的反蚁算法
Abdelhak Chatty, I. Kallel, A. Alimi
The use of multirobot systems, is affecting our society in a fundamental way; from their use in hazardous environments, to their application in automated environmental cleanup. In an unknown environment, one of the most important problem related to multirobot systems, is to decide how to coordinate actions in order to achieve tasks in an optimal way. Ant algorithms are proved to be very useful in solving such distributed control problems. We introduce in this paper a modified version of the known ant algorithm, called Counter-Ant Algorithm (CAA). Indeed, the robots' collaborative behaviour is based on repulsion instead of attraction to pheromone, which is a chemical matter open to evaporation and representing the core of ants' cooperation. In order to test the performance of our CAA, we implement, simulate and test our algorithm in a generic multirobot environment. In practical terms, the subdivision of the cleaning space is achieved in emergent and evolving way. A series of simulations show the usefulness of our algorithm for adaptive and cooperative cleanup.
多机器人系统的使用,正从根本上影响着我们的社会;从它们在危险环境中的使用,到它们在自动环境清理中的应用。在未知环境下,多机器人系统的一个重要问题是如何协调行动,以最优方式完成任务。蚁群算法被证明在解决这种分布式控制问题方面非常有用。本文介绍了一种已知蚂蚁算法的改进版本,称为反蚂蚁算法(anti - ant algorithm, CAA)。事实上,机器人的合作行为是基于对信息素的排斥而不是吸引,信息素是一种容易蒸发的化学物质,代表了蚂蚁合作的核心。为了测试我们的CAA的性能,我们在一个通用的多机器人环境中实现、模拟和测试了我们的算法。在实践中,清洁空间的细分是以突现和演化的方式实现的。一系列的仿真表明了我们的算法在自适应和协作清理方面的有效性。
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引用次数: 13
Policy based access for home contents and services 对家庭内容和服务的基于策略的访问
M. Chowdhury, Sarfraz Alam, Josef Noll
Policies are familiar approach to preserve security and privacy of the Web contents and services. This paper is going to address the policy based constrained access to the home contents and services but in the context of distributed but connected devices. A community concept equipped with trust metric is introduced to facilitate such restricted access. The community structure is maintained through a knowledge base exploiting Web Ontology Language and the policies are formulated using Semantic Web Rule Language. Reasoner then executes the policies to derive the access authorization results. In this paper, we provide a prototypical implementation of the whole scenario where a community member can download videos from the owner's home devices through a Web application. Besides, this paper critically investigates several challenges of the proposed approach with regard to various implementation issues.
策略是维护Web内容和服务的安全性和隐私性的常用方法。本文将讨论基于对家庭内容和服务的受限访问的策略,但在分布式但连接的设备的背景下。引入了带有信任度量的社区概念来促进这种受限访问。利用Web本体语言(Web Ontology Language)建立知识库,维护社区结构;利用语义Web规则语言(Semantic Web Rule Language)制定策略。然后,Reasoner执行策略以派生访问授权结果。在本文中,我们提供了整个场景的原型实现,其中社区成员可以通过Web应用程序从所有者的家庭设备下载视频。此外,本文批判性地调查了关于各种实施问题的拟议方法的几个挑战。
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引用次数: 0
Multi-agent architecture for context-aware mLearning provision via InfoStations 通过InfoStations提供上下文感知移动学习的多代理体系结构
S. Stojanov, Ivan Ganchev, M. O'Droma, D. Mitev, I. Minov
A software architecture for context-aware mLearning provision via InfoStations within a University Campus is presented. The multi-agent nature of the proposed architecture receives particular attention.
提出了一种通过大学校园内信息站提供上下文感知移动学习的软件体系结构。所提出的体系结构的多代理特性得到了特别的关注。
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引用次数: 6
Evolving feasible linear ordering problem solutions 演化可行线性排序问题的解
P. Krömer, V. Snás̃el, J. Platoš
Linear Ordering Problem (LOP) is a well know optimization problem attractive for its complexity (it is a NP-hard problem), rich collection of testing data and variety of real world applications. In this paper, we investigate the usage and performance of two variants of Genetic Algorithms - Mutation Only Genetic Algorithms and Higher Level Chromosome Genetic Algorithms - on the Linear Ordering Problem. Both methods are tested and evaluated on a collection of real world and artificial LOP instances.
线性排序问题(LOP)是一个众所周知的优化问题,它的复杂性(它是一个NP-hard问题),丰富的测试数据集合和各种现实世界的应用。本文研究了遗传算法的两种变体——仅突变遗传算法和高级染色体遗传算法在线性排序问题上的应用和性能。两种方法都在真实世界和人工LOP实例上进行了测试和评估。
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引用次数: 2
Using multi-agent geo-simulation techniques for intelligent sensor web management 基于多智能体地理模拟技术的智能传感器网络管理
M. Mekni, B. Moulin
Sensor webs consist of a large collection of small nodes providing collaborative and distributed sensing ability in unpredictable environments. Nodes composing such sensor webs, are characterized by their resource restrictions, especially the energy, the processing, and the communication capacities. These nodes are also in constant interaction with each other and with their geographic environment. An efficient system aiming at managing sensor webs must take into account the evolution of the sensor nodes as well as the geographic environment. Such a management process involves coping with a variety of dynamic variables including the nodes characteristics, the environment properties as well as the sensed data. In this context, Multi-Agent Geo-Simulation (MAGS) provides a flexible approach that can be used to easily analyse complex systems such as sensor webs in large scale georeferenced environments. The purpose of this paper is to present SensorMAGS, an agent-based geo-simulation system which manages sensor nodes in virtual geographic environments. This system is applied in the context of a water resource monitoring project.
传感器网络由大量小节点组成,在不可预测的环境中提供协作和分布式感知能力。组成传感器网络的节点受资源限制,特别是能量、处理能力和通信能力的限制。这些节点也在不断地相互作用,并与他们的地理环境。一个有效的传感器网络管理系统必须考虑传感器节点的演化和地理环境。这样的管理过程涉及处理各种动态变量,包括节点特征、环境属性以及感知数据。在这种情况下,Multi-Agent Geo-Simulation (MAGS)提供了一种灵活的方法,可以用来轻松地分析复杂的系统,如大规模地理参考环境中的传感器网络。本文的目的是提出一个基于agent的地理仿真系统SensorMAGS,用于管理虚拟地理环境中的传感器节点。该系统应用于某水资源监测项目。
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引用次数: 6
Extending web applications with a lightweight zero knowledge proof authentication 通过轻量级的零知识证明身份验证扩展web应用程序
S. Grzonkowski, Wojciech Zaremba, Maciej Zaremba, B. McDaniel
User authentication is a crucial requirement for secure transactions and access to the sensitive resources on the Web. We propose, implement and evaluate a Zero-Knowledge Proof Authentication (ZKP) algorithm based on isomorphic graphs. The proposed mechanism allows for authentication with varying confidence and security levels. We suggest that most of the computations should be carried out by the user's web browser without revealing password or login at any point in time; instead generated random isomorphic graphs and permutation functions based on the user login/password can be exchanged. Our experimental evaluation shows that by combining the asynchronous web with ZKP protocols, it is feasible to satisfy existing usability standards on the web.
用户身份验证是安全事务和访问Web上敏感资源的关键需求。我们提出、实现并评估了一种基于同构图的零知识证明认证(ZKP)算法。提议的机制允许使用不同的置信度和安全级别进行身份验证。我们建议大多数计算应由用户的web浏览器执行,而无需在任何时间点透露密码或登录;相反,可以交换基于用户登录/密码生成的随机同构图和置换函数。我们的实验评估表明,通过将异步web与ZKP协议相结合,可以满足现有的web可用性标准。
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引用次数: 18
Design of a P2P infrastructure to support plagiarism detection mechanisms 设计一个支持抄袭检测机制的P2P基础设施
J. Mussini, L. Lung, F. Favarim
Nowadays the Internet has become a reference on information retrieval. But this can be misused, as one can simply access information and take it as his own authorship. This constitutes an act of plagiarism. It has become increasingly common for people to do this, and tools to prevent this are in need. In order to help to deal with this relevant problem, this paper presents the PeerDetect, a new P2P middleware to support a plagiarism detection system. The proposed solution is based on a P2P network, where a plagiarism detection mechanism uses PeerDetect to distribute the effort of doing this detection among peers. The proposed approach allows us to reach a better performance and scalability.
如今,互联网已成为信息检索的参考。但这可能会被滥用,因为一个人可以简单地访问信息并将其视为自己的作者。这构成了剽窃行为。人们这样做已经变得越来越普遍,并且需要防止这种情况的工具。为了解决这一问题,本文提出了一种支持抄袭检测系统的P2P中间件PeerDetect。提出的解决方案基于P2P网络,其中抄袭检测机制使用PeerDetect在对等体之间分配检测工作。所提出的方法使我们能够获得更好的性能和可伸缩性。
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引用次数: 0
Identification of association rules between clusters 识别集群间的关联规则
M. Pagani, Gloria Bordogna
In this paper we introduce a novel procedure, based on (fuzzy) clustering comparison techniques, to identify association rules between clusters. The procedure we propose is largely based on the use of clustering comparison techniques that we generalized to the fuzzy context. The described methodology can be useful for exploratory data analysis; its complexity is linear to the number of the entities in the data set.
本文介绍了一种新的基于(模糊)聚类比较技术的聚类间关联规则识别方法。我们提出的过程在很大程度上是基于我们推广到模糊上下文的聚类比较技术的使用。所描述的方法可用于探索性数据分析;它的复杂度与数据集中实体的数量成线性关系。
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引用次数: 0
Persian on-line handwritten character recognition by RCE spatio-temporal neural network 基于RCE时空神经网络的波斯语在线手写字符识别
Mehdi Moghadam Fard, Maryam Moghadam Fard, B. Minaei-Bidgoli, M. Hussain
In this paper a new Persian on-line handwritten character recognition system using neural network is presented. The proposed system is based-on a newly developed Spatio-Temporal Artificial Neuron (STAN) which is well adapted for the recognition of Spatio-Temporal patterns. In this model the strokes of a character generated by a digitizing tablet is presented in form of a sequence of spikes corresponding to displacement of the stylus. The architecture of the proposed system is based on three modules preprocessing, spike extraction and classification. The second and third modules are based on neural architectures which have STANs as their neurons. Our database comprises the handwritings of 80 persons. Each person has written 10 times each of 32 characters
本文提出了一种新的基于神经网络的波斯语在线手写字符识别系统。该系统基于一种新开发的时空人工神经元(STAN),能够很好地适应时空模式的识别。在该模型中,由数字化平板产生的字符笔画以与触控笔位移相对应的一系列尖峰的形式呈现。该系统的结构基于预处理、峰值提取和分类三个模块。第二个和第三个模块是基于以stan为神经元的神经结构。我们的数据库包括80个人的手迹。32个字,每个人写10遍
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引用次数: 2
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International Conference on Soft Computing as Transdisciplinary Science and Technology
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