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2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)最新文献

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Decentralizing a cyber-physical workflow system with a cloud messaging system 使用云消息传递系统分散网络物理工作流系统
Dávid Juhász, Barnabas Kralik, Péter Szilágyi
A cyber-physical system is a collection of distributed physical and computational entities, that collaborate together to reach a higher goal. The paper presents how the communication aspects of the Pεα workflow language for programming cyber-physical systems can be decentralized with the communication patterns provided by Iris, a distributed cloud messaging system.
网络物理系统是分布式物理和计算实体的集合,它们相互协作以达到更高的目标。本文介绍了如何使用分布式云消息传递系统Iris提供的通信模式来分散用于编程网络物理系统的Pεα工作流语言的通信方面。
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引用次数: 1
Central g-moments of the order n for random variables 随机变量的中心g矩是n阶的
S. Medić, T. Grbić, I. Štajner-Papuga, G. Grujic
In this paper, the definitions of central g-moments of the order n, n ϵN for random variables and g-expectation for a random variable are given. With the suitable choice of the generator g, and choosing different values for n, it is possible to calculate central g-moments of the order n even for a random variable f for which neither expectation nor higher moments do not exist.
本文给出了随机变量的n, n ϵN阶的中心g矩和随机变量的g期望的定义。通过选择合适的生成器g,并为n选择不同的值,即使对于一个既不存在期望矩也不存在更高矩的随机变量f,也可以计算出n阶的中心g矩。
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引用次数: 0
A new learning algorithm for a Fully Connected Fuzzy Inference System (F-CONFIS) with its application for computing learning capacity 一种新的全连通模糊推理系统(F-CONFIS)学习算法及其在计算学习能力方面的应用
C. L. P. Chen
This talk discusses a new neural-fuzzy network architecture in which a traditional neuro-fuzzy system is transformed into an equivalent fully connected three layer neural network, namely, the Fully Connected Neuro-Fuzzy Inference Systems (F-CONFIS). The F-CONFIS differs from traditional neural networks by its dependent and repeated weights between input layer and hidden layer and can be considered as the variation of a kind of multilayer neural network. Therefore, an efficient learning algorithm for F-CONFIS to cope these repeated weights is derived. Furthermore, a dynamic learning rate is proposed for neuro-fuzzy systems via F-CONFIS where both premise (hidden) and consequent portions should be considered. Several simulation results indicate that the proposed approach achieves much better accuracy and fast convergence. In addition the bounded capacity for the learning for a fuzzy neural network via the proposed F-CONFIS and its applications will be discussed.
本文讨论了一种新的神经模糊网络结构,将传统的神经模糊系统转化为等效的全连接三层神经网络,即全连接神经模糊推理系统(F-CONFIS)。F-CONFIS与传统神经网络的不同之处在于其输入层和隐藏层之间的权重依赖和重复,可以看作是一种多层神经网络的变异。因此,本文导出了一种有效的F-CONFIS学习算法来处理这些重复的权重。此外,通过F-CONFIS提出了神经模糊系统的动态学习率,其中前提部分(隐藏部分)和结果部分都应考虑。仿真结果表明,该方法具有较好的精度和较快的收敛速度。此外,本文还讨论了利用所提出的F-CONFIS学习模糊神经网络的有界容量及其应用。
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引用次数: 3
Hypatia: An expert system proposal for documentation departments Hypatia:文档部门的专家系统建议
Angel L. Garrido, Álvaro Peiró, S. Ilarri
Nowadays the vast amount of text-based information stored in organizations requires different approaches and new tools in order to manage it adequately. This paper presents Hypatia, a support expert system for documentation departments and regular users that exploits not only local information, but also external resources from the Web (e.g., Linked Data). The expert system uses different modules: Natural Language Processing (NLP) analysis, categorization, semantic disambiguation, Automatic Query Expansion (AQE), semantic search, summarization, knowledge extraction, and aggregation. Users can interact with the expert system in different ways, varying from giving very specific orders to writing a simple list of keywords. The latter method requires a previous interpretation before deciding the response of the system. The obtained results will benefit from semantic links referencing complementary data to improve both the information presentation and the data navigation.
如今,组织中存储的大量基于文本的信息需要不同的方法和新工具来充分管理它。本文介绍了Hypatia,一个为文档部门和普通用户提供支持的专家系统,它不仅可以利用本地信息,还可以利用来自网络的外部资源(例如,关联数据)。专家系统使用了不同的模块:自然语言处理(NLP)分析、分类、语义消歧、自动查询扩展(AQE)、语义搜索、摘要、知识提取和聚合。用户可以以不同的方式与专家系统交互,从给出非常具体的命令到编写简单的关键字列表。后一种方法需要在确定系统的响应之前进行先前的解释。所获得的结果将受益于引用互补数据的语义链接,以改进信息表示和数据导航。
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引用次数: 6
Identification of the nonlinear dynamic model of sailplanes involving state estimation and image processing for actuator signal computation 滑翔机非线性动力学模型辨识涉及状态估计和图像处理,用于作动器信号的计算
Lorand Lukacs, B. Lantos
The primary scope of the paper lies on the identification of an aircraft's nonlinear dynamic model. It is assumed that the aircraft has no inbuilt navigational system, nor any sensors mounted on its control surfaces. The flight of the airplane is influenced by the control column and pedals manipulated by the pilot whose positions can only visually be observed. This situation can often occur in the first phase of control system development of airplanes. Hence, for the time of data logging, an external sensory system (GPS, IMU) and a camera system were deployed on the airplane supporting the collection of flight data for state estimation and model identification. An earlier paper discussed the computation of the actuator signals thus the paper deals mainly with the state estimation and model identification. State estimation is based on two-level Extended Kalman Filters with additional correction in an external loop. System identification is based on the dynamical equations of rigid body with additional weighted nonlinear terms for 3D forces and torques. Wind effects are taken into consideration. From the inertial parameters only the mass is known. Dominating nonlinear functions in the force and torque model are selected by using hypotheses tests. The results are presented for a real sailplane using flight data.
本文主要研究的是飞机非线性动力学模型的辨识问题。假定飞机没有内置导航系统,也没有安装在控制面上的任何传感器。飞机的飞行受到驾驶员操纵的操纵杆和踏板的影响,而驾驶员的位置只能用肉眼观察到。这种情况经常发生在飞机控制系统开发的第一阶段。因此,在数据记录时,飞机上部署了外部传感系统(GPS, IMU)和摄像系统,支持收集飞行数据以进行状态估计和模型识别。先前的文章讨论了执行器信号的计算,因此本文主要讨论了状态估计和模型辨识。状态估计基于两级扩展卡尔曼滤波器,并在外部环路中附加校正。系统辨识基于刚体动力学方程,附加三维力和力矩的加权非线性项。考虑了风的影响。从惯性参数中只知道质量。通过假设检验选择力和力矩模型中的主导非线性函数。以实际滑翔机为例,给出了试验结果。
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引用次数: 1
Software application for analyzing ZigBee network performance in university courses ZigBee网络性能分析软件在大学课程中的应用
D. Dobrilović, Ž. Stojanov, V. Brtka, Z. Čović, Nemanja Bilinac
Wireless Sensor Networks (WSN) and related technologies have the important impact nowadays. These technologies have variety of applications, and they are key enabling technologies of IoT (Internet of Things). ZigBee standard is the most common WSN technology. Its importance and expansion, as a widely used technology in many different areas, influence the importance of including ZigBee technology in courses at university. This paper presents the software application and related hardware platform designed to be used by the students to measure and analyze the performances of ZigBee network in design and pre-implementation process. The presented application can be used during the classes of Communication Systems and Computer Network Courses for ZigBee traffic and packet analyses. In addition, this application can be used for researching in the field of wireless sensor networks, ZigBee and other similar popular technologies such as Bluetooth Low Energy, IEEE 802.15.4, etc. The supporting platform for this application and experiment for its evaluation are also presented in this paper.
无线传感器网络(WSN)及其相关技术在当今社会产生了重要的影响。这些技术具有多种应用,是物联网的关键使能技术。ZigBee标准是目前最常用的无线传感器网络技术。它的重要性和扩展,作为一种广泛应用于许多不同领域的技术,影响了将ZigBee技术纳入大学课程的重要性。本文介绍了设计的软件应用程序和相关硬件平台,供学生在设计和预实现过程中测量和分析ZigBee网络的性能。该应用程序可以在通信系统和计算机网络课程中用于ZigBee流量和分组分析。此外,该应用程序还可以用于无线传感器网络领域的研究,ZigBee和其他类似的流行技术,如低功耗蓝牙、IEEE 802.15.4等。本文还介绍了该应用的支撑平台和实验验证。
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引用次数: 9
Parameters adaptation of motion primitives for achieving more efficient humanoid walk 运动原语参数自适应实现更高效的类人行走
M. Raković, B. Borovac, S. Savic, M. Nikolic
This paper deals with the problem of non synchronicity during the on-line realization of humanoid walk synthesized by combining and tying motion primitives. Motion primitives are simple and parameterized movements. For realization of the on-line modifiable walk, relationship is established between the gait characteristics and the pa-rameters of the primitives. The parameters of the primitives for basic walk were determined empirically, so the problem appeared of non synchronization of the primitives that are executed in parallel. In order to reduce the non synchronicity effects, the algorithm for adaptation of the primitive parameters is introduced. The improved parameters of the primitives allowed the realization of a more efficient walk.
本文研究了组合绑定运动原语合成的仿人行走在线实现中的非同步性问题。运动原语是简单的参数化运动。为了实现在线可修改行走,建立了步态特征与原语参数之间的关系。基本行走基元的参数是经验确定的,因此出现了并行执行基元时不同步的问题。为了减少非同步性,引入了原语参数的自适应算法。改进的原语参数允许实现更有效的行走。
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引用次数: 4
OptInv: Software as a service solution for inventory optimization OptInv:库存优化的软件即服务解决方案
Reka Gyori, T. Imecs, Eniko Torok, Károly Simon
The presented OptInv software system provides support for inventory and sales optimization. Generally, small and medium enterprises cannot afford expensive Enterprise Resource Planning (ERP) systems, with effective supply management modules. Supplies are often managed based only on former experience. Inconvenient situations can occur when an order cannot be accomplished because the needed product is missing, or when the money invested in some products becomes a waste. Using the right methods and tools, these problems can be eliminated. The aim of the OptInv project is to provide a Software as a Service (SaaS) solution for this kind of problems. OptInv imports data from accounting software systems and provides statistics about products, providers and sales. Products can be categorized, the value of the stock can be estimated, the consumption can be predicted and in this way the inventory can be optimized.
所提出的OptInv软件系统为库存和销售优化提供了支持。一般来说,中小型企业负担不起昂贵的具有有效供应管理模块的企业资源规划(ERP)系统。供应往往只根据以前的经验来管理。由于缺少所需的产品而无法完成订单,或者在某些产品上投入的资金成为浪费时,就会出现不方便的情况。使用正确的方法和工具,可以消除这些问题。OptInv项目的目的是为这类问题提供软件即服务(SaaS)解决方案。OptInv从会计软件系统导入数据,并提供有关产品、供应商和销售的统计数据。可以对产品进行分类,估计库存价值,预测消费量,从而优化库存。
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引用次数: 0
A note on the use of Choquet and Sugeno integrals in minimal and maximal covering location problems 关于在最小和最大覆盖定位问题中使用Choquet和Sugeno积分的注释
A. Takaci, I. Štajner-Papuga, M. Marić, Darko Drakulic
The aim of this paper is to show a potential applicability of some well-known fuzzy integrals, i.e., of the Choquet integral and the Sugeno integral, in Minimal and Maximal Covering location problems, i.e., in MinCLP and MCLP. Possible benefits of the use of Choquet and Sugeno integrals lie in the flexibility of a monotone set function which is the core of the observed integrals and which is being used for modelling Decision Maker's behavior. Mathematical models of Minimal and Maximal Covering location problems are given. Approach based on fuzzy integrals versus the standard two types of operators is discussed. Ideas for the future work and applications are presented.
本文的目的是证明一些著名的模糊积分,即Choquet积分和Sugeno积分,在最小和最大覆盖定位问题,即MinCLP和MCLP中的潜在适用性。使用Choquet和Sugeno积分的可能好处在于单调集函数的灵活性,单调集函数是观察到的积分的核心,它被用于建模决策者的行为。给出了最小和最大覆盖定位问题的数学模型。讨论了基于模糊积分的方法与标准两类算子的关系。对未来的工作和应用进行了展望。
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引用次数: 2
Pedagogy, technology and organization 教育学,技术和组织
F. Hegyesi, R. Osz, Krisztina Nemethy
The development of information flow has a major impact on communication, new multimedia technology has develop with incredible speed. For example the Internet has doubled the number of users and services every year since 1988. This is possible due to the fact that it has become less expensive to use and easily accessible. With the help of information and communication technology higher education institutes are able to fulfill the requirements which will help the students prepare for the pressures of society and labor market. Therefore many educational institutes offer diverse teaching and learning methods for the benefit of their future students.
信息流的发展对通信产生了重大影响,新的多媒体技术以惊人的速度发展起来。例如,自1988年以来,互联网的用户和服务数量每年都翻一番。这是可能的,因为它已经变得更便宜的使用和容易获得。在信息和通信技术的帮助下,高等教育机构能够满足要求,这将帮助学生为社会和劳动力市场的压力做好准备。因此,许多教育机构提供不同的教学和学习方法,以造福未来的学生。
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引用次数: 0
期刊
2014 IEEE 12th International Symposium on Intelligent Systems and Informatics (SISY)
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