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2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)最新文献

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A smart wireless battery monitoring system for Electric Vehicles 一种用于电动汽车的智能无线电池监测系统
S. Mathew, Prakash R, P. C. John
In this era of technological revolution, automotive industry witnessed tremendous progress with the environment friendly Electric Vehicles (EVs). To account for the consumer cost, the electric vehicles should offer maximum mileage in one charge by monitoring and utilizing maximum energy from the battery pack without significantly affecting the battery life. A reliable monitoring system reduces user's anticipation of the battery life when vehicle undergoes hard real time situation, ie., rapid acceleration and braking. In this paper, a novel method for monitoring rechargeable Li-ion batteries with wireless communication architecture is proposed which is a low cost, low power, highly reliable, redundant and scalable system. Experimental results show that this solution is practically applicable to EV platform.
在这个技术革命的时代,随着环保的电动汽车(ev)的出现,汽车工业取得了巨大的进步。考虑到消费者的成本,电动汽车应该在不显著影响电池寿命的情况下,通过监测和利用电池组的最大能量,在一次充电中提供最大的里程。一个可靠的监控系统减少了用户对电池寿命的预期,当车辆遇到困难的实时情况,即。,快速加速和制动。本文提出了一种低成本、低功耗、高可靠、冗余和可扩展的无线通信结构的可充电锂离子电池监测方法。实验结果表明,该方案切实适用于电动汽车平台。
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引用次数: 33
JADE agents used for Wireless Sensors control: System based on services 用于无线传感器控制的JADE代理:基于服务的系统
J. Zak, J. Horácek, F. Zboril, R. Kocí, Jirí Král
This particular paper describes our most recent work on our system called JAWS. This system is intended to control and monitor Wireless Sensor Network. In principle, JAWS is agent system built on JADE platform. It consists of several agents that are able to communicate with Wireless Sensor Nodes. Via communication, we are able to obtain values from particular sensor nodes called motes. We are also able to inject mobile code to each mote so we can basically change behaviour of that mote and in extension of whole network. In this paper we explain our use of concept of services in our system. As will be shown, services are natural and most viable concept in our approach to control and monitor Wireless Sensor Network. We will briefly describe basic concepts of our system and explain all kinds of services that can be used within our system, which is the most narrow scope of this paper. We also describe few protocols that we use and that are bound to services.
这篇特别的论文描述了我们在我们的系统JAWS上的最新工作。本系统主要用于无线传感器网络的控制和监控。原则上,JAWS是建立在JADE平台上的代理系统。它由几个能够与无线传感器节点通信的代理组成。通过通信,我们能够从称为mote的特定传感器节点获得值。我们还可以将移动代码注入到每个mote中,这样我们就可以基本上改变该mote的行为,并扩展整个网络。在本文中,我们解释了我们在系统中使用的服务概念。正如将展示的,服务是我们控制和监控无线传感器网络的方法中最自然和最可行的概念。我们将简要描述我们系统的基本概念,并解释我们系统中可以使用的各种服务,这是本文最狭窄的范围。我们还描述了一些我们使用的和绑定到服务的协议。
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引用次数: 1
Signalized traffic intersections control with uncertainties over lossy networks 具有不确定性的有损网络信号交叉口控制
M. Mahmoud, Faisal A. Al-Nasser, F. Al-Sunni
In this paper, different traffic light control structures over communication links, including the decentralized, quasi-decentralized and distributed control, are considered for coordinating multiple intersections, which could be a great application of networked control signalized traffic light problem. It will help the designer to achieve certain objectives such as minimize the waiting time during the red light period and perform a better control in the next green cycle and more will be highlighted in this paper. A state space model of traffic dynamics under these different control structures is proposed considering most of the major effects of lossy communication links and the traffic uncertainties. Also, a sufficient condition for system stability is provided based on Linear Matrix Inequality (LMI). Finally, comparison of different types of networked control systems was done using simulation.
本文在通信链路上考虑了分散控制、准分散控制和分布式控制三种不同的交通信号灯控制结构来协调多个交叉口,这将是网络控制信号交通信号灯问题的一个重要应用。这将有助于设计者达到一定的目标,如尽量减少红灯期间的等待时间,并在下一个绿灯周期中进行更好的控制,更多将在本文中强调。考虑到有耗通信链路的主要影响和交通的不确定性,提出了不同控制结构下交通动态的状态空间模型。并基于线性矩阵不等式给出了系统稳定的充分条件。最后,通过仿真对不同类型的网络化控制系统进行了比较。
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引用次数: 2
Notification of data-stream events in Publish/Subscribe systems using fuzzy matching 发布/订阅系统中使用模糊匹配的数据流事件通知
H. RahulPrabhu, Shrisha Rao
Data streams are vast sources of information. In such streams only certain episodic points called events are interesting. The number of events occurring in a data stream can be very large, and a given user would not be interested in all of them. Thus, there is a need to selectively disseminate information about the occurrence of events to users who express interest in them. Publish/Subscribe is a distributed paradigm of messaging in which events published by publishers are automatically sent to subscribers who have expressed interest in them. In this work, we apply the publish/subscribe paradigm to notify a user when an event of interest occurs. Furthermore, user subscriptions may often be vague and non-specific. To capture this uncertainty, we use fuzzy set theory in the modeling of the subscriptions. The use of fuzzy sets gives a user more expressive power in subscriptions and gives better notifications of events.
数据流是巨大的信息源。在这样的流中,只有某些被称为事件的情景点是有趣的。数据流中发生的事件数量可能非常大,而给定的用户不会对所有事件都感兴趣。因此,有必要有选择地向表示感兴趣的用户传播有关事件发生的信息。发布/订阅是一种分布式消息传递范例,发布者发布的事件自动发送给对其感兴趣的订阅者。在这项工作中,我们应用发布/订阅范例,在发生感兴趣的事件时通知用户。此外,用户订阅可能经常是模糊和不具体的。为了捕捉这种不确定性,我们在订阅的建模中使用模糊集理论。模糊集的使用为用户提供了更强的订阅表现力,并提供了更好的事件通知。
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引用次数: 1
Identifying online opinion leaders using K-means clustering 使用K-means聚类识别在线意见领袖
S. Hudli, Aditi A. Hudli, Anand V. Hudli
Online opinion leaders play an important role in the dissemination of information in discussion forums. They are a high-priority target group for viral marketing campaigns. On an average, an opinion leader will tell about his or her experience with a product or company to 14 other people. It is important to identify such opinion leaders from data derived from online activity of users. We present an approach to identification of opinion leaders using the K-means clustering algorithm. This approach does not require knowledge of the user's opinions or membership in other forums.
网络意见领袖在论坛信息传播中发挥着重要作用。他们是病毒式营销活动的高优先级目标群体。平均而言,一个意见领袖会向14个人讲述他或她对一个产品或公司的体验。从来自用户在线活动的数据中确定意见领袖是很重要的。我们提出了一种使用k均值聚类算法识别意见领袖的方法。这种方法不需要了解用户的意见或其他论坛的会员资格。
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引用次数: 15
Design of 1553 protocol controller for reliable data transfer in aircrafts 1553协议控制器在飞机上可靠数据传输的设计
Jemti Jose, Sharone Varghese
In a modern military avionics system all the devices need to communicate as efficiently as possible with a minimum amount of hardware. 1553 is a dual- redundant, bi-directional, Manchester encoded, digital time division command/ response data bus which eliminates the use of point-to-point wiring. It uses a shielded twisted pair wire for data transfer. This bus can allow communication between any devices (maximum of 31) connected to it. Even though 1553 is an old standard (developed in early 1970s), it is an inevitable part of almost all aircrafts of today. Compared to other avionics data bus standards 1553 is known for its reliability and flexibility. With the presented method, the protocol controller is modeled as state machine in HDL. This paper describes implementation of the Military data bus standard MIL-STD-1553 onto a Xilinx based FPGA platform.
在现代军事航空电子系统中,所有设备都需要尽可能高效地通信,而硬件数量最少。1553是一种双冗余、双向、曼彻斯特编码、数字时分命令/响应数据总线,它消除了点对点布线的使用。它使用屏蔽双绞线进行数据传输。该总线允许连接到它的任何设备(最多31个)之间进行通信。尽管1553是一个老标准(在20世纪70年代早期开发),但它是当今几乎所有飞机不可避免的一部分。与其他航空电子数据总线标准相比,1553以其可靠性和灵活性而闻名。该方法将协议控制器用HDL语言建模为状态机。本文描述了军用数据总线标准MIL-STD-1553在基于Xilinx的FPGA平台上的实现。
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引用次数: 10
A recommender system architecture for an inter-application environment 用于应用程序间环境的推荐系统体系结构
Eduardo Toledo Santos, Byron L. D. Bezerra, Jefferson Silva de Amorim, Arthur Inacio do Nascimento
Recommender systems help to show possible items of interest, but these recommendations are closely linked to the amount of available user information. This information is generated by user interaction with the system, which is generally absent, especially in the case of a new user. In this contribution, we intend to check the methods of filtering applied in the context of traditional recommendation systems by adapting them to an inter-application context by using collaborative filtering techniques. To this end, we propose the architecture and rules for building an environment of a recommendation system for inter-application. The resulting database was developed for evaluations of inter-analysis applications and it will be made available to the scientific community for future research.
推荐系统有助于显示可能感兴趣的项目,但这些推荐与可用用户信息的数量密切相关。该信息是由用户与系统的交互生成的,通常不存在这种交互,特别是在新用户的情况下。在这篇文章中,我们打算通过使用协同过滤技术使传统推荐系统适应应用间的环境,从而检查在传统推荐系统环境中应用的过滤方法。为此,我们提出了构建跨应用推荐系统环境的体系结构和规则。所产生的数据库是为评价相互分析的应用而开发的,并将提供给科学界供今后的研究使用。
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引用次数: 3
Remarks on an adaptive-type parallel controller using quantum neural network with qubit neurons 基于量子比特神经元的量子神经网络自适应并行控制器的研究
Kazuhiko Takahashi
This paper presents an adaptive-type parallel controller based on a quantum neural network and investigates its characteristics for control systems. A multi-layer quantum neural network that uses qubit neurons as an information processing unit is utilized to design the adaptive-type parallel controller that conducts the training of the quantum neural network as an online process. Computational experiments to control the single-input single-output nonlinear discrete time plant are conducted in order to evaluate the learning performance and capability of the adaptive-type quantum neural parallel controller. The results of the computational experiments confirm both the feasibility and the effectiveness of the adaptive-type quantum neural parallel controller.
提出了一种基于量子神经网络的自适应并行控制器,并研究了其控制系统的特性。利用以量子比特神经元为信息处理单元的多层量子神经网络,设计了自适应型并行控制器,将量子神经网络的训练作为在线过程进行。为了评价自适应型量子神经并行控制器的学习性能和控制能力,对单输入单输出非线性离散时间对象进行了控制计算实验。计算实验结果验证了自适应型量子神经并行控制器的可行性和有效性。
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引用次数: 0
Unsupervised outlier detection in streaming data using weighted clustering 基于加权聚类的流数据无监督异常点检测
Yogita Thakran, Durga Toshniwal
Outlier detection is a very important task in many fields like network intrusion detection, credit card fraud detection, stock market analysis, detecting outlying cases in medical data etc. Outlier detection in streaming data is very challenging because streaming data cannot be scanned multiple times and also new concepts may keep evolving in coming data over time. Irrelevant attributes can be termed as noisy attributes and such attributes further magnify the challenge of working with data streams. In this paper, we propose an unsupervised outlier detection scheme for streaming data. This scheme is based on clustering as clustering is an unsupervised data mining task and it does not require labeled data. In proposed scheme both density based and partitioning clustering method are combined to take advantage of both density based and distance based outlier detection. Proposed scheme also assigns weights to attributes depending upon their respective relevance in mining task and weights are adaptive in nature. Weighted attributes are helpful to reduce or remove the effect of noisy attributes. Keeping in view the challenges of streaming data, the proposed scheme is incremental and adaptive to concept evolution. Experimental results on synthetic and real world data sets show that our proposed approach outperforms other existing approach (CORM) in terms of outlier detection rate, false alarm rate, and increasing percentages of outliers.
离群点检测在网络入侵检测、信用卡欺诈检测、股票市场分析、医疗数据离群点检测等领域都是一项非常重要的任务。流数据中的异常值检测非常具有挑战性,因为流数据不能多次扫描,而且随着时间的推移,新的概念可能会不断发展。不相关的属性可以称为噪声属性,这些属性进一步增加了处理数据流的挑战。本文提出了一种流数据的无监督离群值检测方案。该方案基于聚类,因为聚类是一种无监督的数据挖掘任务,不需要标记数据。该方案将密度聚类和分区聚类相结合,充分利用了密度聚类和距离聚类的优势。该方案还根据属性在挖掘任务中的相关性为属性分配权重,且权重具有自适应性。加权属性有助于减少或消除噪声属性的影响。考虑到流数据的挑战,提出的方案是增量的,并适应概念的演变。在合成数据集和真实世界数据集上的实验结果表明,我们提出的方法在异常值检测率、虚警率和异常值增加百分比方面优于其他现有方法(CORM)。
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引用次数: 46
Multi-agent system based portfolio management in prior-to-crisis and crisis period 基于多智能体系统的危机前和危机期投资组合管理
S. Raudys, A. Raudys, Z. Pabarskaite
We analyze portfolio creation techniques in a high frequency trading domain and randomly changing environments. We aim to create the best risk/reward portfolio based on thousands of profit histories of automated trading robots. We show that the effectiveness of standard portfolio weight calculation rules depends on the dimensionality, N, and the sample size, L, ratio. To resolve dimensionality / sample size dilemma we suggest designing a multistage feed-forward multi-agent system (MAS). At first we make simple 1/N Portfolio based expert agents. Then we use them and the regularized mean-variance framework to form a large number of more complex fusion agents. Finally we use a trained cost sensitive set of perceptrons to recognize the most successful fusion agents for making a final 1/N Portfolio based weights calculation. Experiments with 7708-dimensional 2004-2012 data confirm the effectiveness of the new approach.
我们分析了高频交易域和随机变化环境下的投资组合创建技术。我们的目标是根据数千个自动交易机器人的盈利历史,创建最佳的风险/回报投资组合。我们证明了标准投资组合权重计算规则的有效性取决于维数N和样本量L比率。为了解决维度/样本量的困境,我们建议设计一个多阶段前馈多智能体系统(MAS)。首先,我们建立了简单的基于1/N组合的专家代理。然后利用它们和正则化均值-方差框架组成大量更复杂的融合因子。最后,我们使用一组训练好的成本敏感感知器来识别最成功的融合代理,以进行最终的1/N组合权重计算。2004-2012年7708维数据的实验验证了新方法的有效性。
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引用次数: 2
期刊
2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
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