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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
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
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
Automatic configuration for the component selection problem 自动配置为组件选择问题
A. Vescan, Horia F. Pop
Component Based Software Engineering (CBSE) is concerned with the assembly of pre-existing software components that leads to a software system that responds to client-specific requirements. Component selection and component systems assembly have become two of the key issues involved in this process. This work presents an approach for component selection, solution based on maximum number of provided operations that satisfy the current requirements. Another contribution of this paper addresses the problem of automatic assembly of component systems. The algorithm CSAC (Component System Automatic Configurations) is presented. With our case study we show that our approach is efficient and generally applicable in practical scenarios.
基于组件的软件工程(CBSE)关注的是预先存在的软件组件的组装,这些组件会导致响应客户特定需求的软件系统。组件选择和组件系统装配成为这一过程中涉及的两个关键问题。这项工作提出了一种基于满足当前需求的最大提供操作数量的组件选择方法和解决方案。本文的另一个贡献是解决组件系统的自动装配问题。提出了组件系统自动配置(CSAC)算法。通过我们的案例研究,我们展示了我们的方法是有效的,并且在实际场景中普遍适用。
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引用次数: 2
Towards a first ontology for customer relationship management 面向客户关系管理的第一个本体
Diego Magro, A. Goy
This paper presents some results of an ongoing project aimed at modeling the main concepts related to Customer Relationship Management (CRM). More precisely, the paper presents O-CREAM, a CRM ontology based on DOLCE and on two DOLCE-based modules, DnS (exploited for modeling roles and for handling reification) and OIO (exploited for modeling business knowledge by means of information objects). The project relies on the belief that all the actors involved in CRM could benefit from an ontological investigation of this field, aimed at providing a core set of formally described concepts and relations, useful both for describing CRM processes and for specifying the functionality of CRM applications. In particular, a well-formed CRM ontology would support communication and interoperability both in intra-organization and in inter-organization CRM processes. The paper discusses in details the axiomatization for the sale and customer relationship concepts, as well as for the corresponding business knowledge items (i.e., sale and customer records). It concludes by sketching a possible concrete exploitation of O-CREAM.
本文介绍了一个正在进行的项目的一些结果,该项目旨在对与客户关系管理(CRM)相关的主要概念进行建模。更准确地说,本文提出了O-CREAM,一个基于DOLCE的CRM本体和两个基于DOLCE的模块,DnS(用于角色建模和处理具体化)和OIO(用于通过信息对象对业务知识建模)。该项目依赖于这样一种信念,即所有参与CRM的参与者都可以从该领域的本体论调查中受益,该调查旨在提供一组正式描述的概念和关系的核心,这些概念和关系对描述CRM过程和指定CRM应用程序的功能都很有用。特别是,一个格式良好的CRM本体将支持组织内和组织间CRM过程中的通信和互操作性。本文详细讨论了销售和客户关系概念的公理化,以及相应的业务知识项(即销售和客户记录)的公理化。最后概述了O-CREAM可能的具体开发。
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引用次数: 16
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
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
A new energy efficient data transmission method for underwater wireless sensor networks 一种新的水下无线传感器网络节能数据传输方法
Sangbo Seo, Seungmi Song, E. Kim, Sungun Kim
The Underwater Wireless Sensor Network (UWSN) consists of sensor nodes equipped with a small battery of limited energy resource. A key design issue here is the energy efficiency that needs to be addressed in order to increase the lifetime of the network. In this paper, we apply a hexagon tessellation with an ideal cell size to deploy the underwater sensor nodes for two-dimensional UWSN. Upon this setting, we propose an enhanced hybrid transmission method that considers load balancing of data transmission in two-dimensional UWSN. The proposed method applies the threshold annulus that is defined as the distance between a node and the Base Station (BS) and allocates different frequencies to different annuluses. The simulation results show that the proposed method enhances the energy efficiency compared to the existing multi-hop forwarding methods and hybrid transmission methods.
水下无线传感器网络(UWSN)由配备有限能量的小型电池的传感器节点组成。这里的一个关键设计问题是需要解决的能源效率,以便增加网络的使用寿命。在本文中,我们采用具有理想单元尺寸的六边形镶嵌来部署二维UWSN的水下传感器节点。在此基础上,我们提出了一种考虑二维UWSN数据传输负载均衡的增强型混合传输方法。该方法将阈值环空定义为节点与基站之间的距离,并为不同的环空分配不同的频率。仿真结果表明,与现有的多跳转发方法和混合传输方法相比,该方法提高了能量效率。
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引用次数: 11
期刊
International Conference on Soft Computing as Transdisciplinary Science and Technology
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