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2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing最新文献

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A Data Dissemination Algorithm for Opportunistic Networks 机会网络中的一种数据传播算法
Radu-Ioan Ciobanu, C. Dobre, V. Cristea
Opportunistic networks are an evolution of MANETs, where highly mobile nodes that have no physical route connecting them might need to communicate. In this case routes are built dynamically, as nodes act according to a store-carry-and-forward paradigm. A natural continuation of forwarding in opportunistic networks is data dissemination, which is usually performed using the publish/subscribe model. In this paper, we propose a socially-based data dissemination technique for opportunistic networks called Social Dissemination. The solution assumes that nodes are grouped into communities, where nodes in the same community meet often, while at the same time certain nodes may have relationships with nodes from other communities. When two nodes meet, they exchange information about the data they store, and select data objects from the other node according to a utility function. We define such a utility function and experimentally compare its results with previously proposed state-of-the-art dissemination techniques.
机会网络是manet的一种进化,在这种网络中,没有物理路由连接的高度移动节点可能需要通信。在这种情况下,路由是动态构建的,因为节点根据存储-携带-转发范式进行操作。在机会网络中,转发的自然延续是数据传播,这通常使用发布/订阅模型执行。在本文中,我们提出了一种基于社会的机会网络数据传播技术,称为社会传播。该解决方案假设节点被分组到社区中,同一社区中的节点经常会面,同时某些节点可能与来自其他社区的节点有关系。当两个节点相遇时,它们交换关于它们存储的数据的信息,并根据实用函数从另一个节点选择数据对象。我们定义了这样一个效用函数,并通过实验将其结果与先前提出的最先进的传播技术进行比较。
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引用次数: 4
Experiences in Computing Mesh Root Systems for Dynkin Diagrams Using Maple and C++ 用Maple和c++计算动态图网格根系统的经验
Mariusz Felisiak, D. Simson
We show that the reduced mesh root systems and mesh geometries of roots for each of the simply-laced Dynkin diagrams can be classified by applying symbolic computer algebra computations and numeric algorithmic computations in Maple, C++ and Linux. Results of our computing experiences are presented in a table of Section 2 and in Section 6.
通过在Maple、c++和Linux中应用符号计算机代数计算和数值算法计算,我们可以对每个简单排列的Dynkin图的简化网格根系统和网格根几何进行分类。我们计算经验的结果显示在第2节和第6节的表格中。
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引用次数: 13
Intelligent Web-History Based on a Hybrid Clustering Algorithm for Future-Internet Systems 未来互联网系统中基于混合聚类算法的智能web历史
A. Marin, Florin Pop
Internet grows larger year by year and makes users to be confronted with large quantities of data that they cannot fully comprehend. The ongoing transition from Web 2.0 to the Semantic Web makes the development of intelligent services with the ability to discern, classify and simplify web information of vital importance. In this paper we present a new model for web-history organizing in order to improve the user action over the Internet. Based on this model we proposed an application, delivered as a Google Chrome browser extension, which organizes the web-history into semantic clusters, providing the user with an easy-to-follow hierarchal structure. The paper covers the main algorithms in the field, offering a comprehensive critical analysis, such as document vectorization, relational clustering, fuzzy and genetic variations and the item-set-based approach. Our work consists of adapting these algorithms to support an ever-increasing set of input data. The result is a hybrid variation that rapidly offers an acceptable solution, which is optimized in time, a quality preserved during the extensive web explorations a user may undergo. A variety of test results is presented in the end, with under-stress behavior and a selection of user experience.
互联网的规模逐年扩大,用户面临着大量无法完全理解的数据。正在进行的从Web 2.0到语义Web的过渡使得智能服务的发展具有识别、分类和简化至关重要的Web信息的能力。本文提出了一种新的网络历史组织模型,以改善用户在互联网上的行为。基于这个模型,我们提出了一个应用程序,作为Google Chrome浏览器扩展交付,它将网络历史组织成语义集群,为用户提供一个易于遵循的层次结构。本文涵盖了该领域的主要算法,并提供了全面的批判性分析,如文档矢量化,关系聚类,模糊和遗传变异以及基于项集的方法。我们的工作包括调整这些算法以支持不断增加的输入数据集。结果是一个混合的变化,迅速提供了一个可接受的解决方案,它是及时优化的,在用户可能经历的广泛的网络探索中保持质量。最后给出了各种测试结果,并给出了压力下的行为和用户体验的选择。
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引用次数: 6
Optimal Inequality Factor for Ehrlich-Aberth's Method Ehrlich-Aberth方法的最优不等式因子
Octavian Cira, Ş. Măruşter
The convergence condition for the simultaneous inclusion methods is w (0)
同时包含方法的收敛条件为w(0)。
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引用次数: 0
Multi-agent Stock Trading Algorithm Model 多智能体股票交易算法模型
M. Tirea, Ioan Tandau, V. Negru
Stock Trading Algorithm Models are an important problem researchers dealt with through time that implied knowledge in technical and fundamental analysis, time series combined with knowledge expertise in computer science or programming in order to find solutions of how to have a stock gain. This paper proposes a multi-agent architecture that assists a user in making a successful investment on the stock market. This implies the use of technical and fundamental analysis in order to make a useful prediction of the security's trend.
股票交易算法模型是研究人员长期研究的一个重要问题,它将技术和基础分析知识、时间序列知识与计算机科学或编程知识相结合,以寻求股票收益的解决方案。本文提出了一个帮助用户在股票市场上成功投资的多智能体体系结构。这意味着使用技术和基本面分析,以便对证券的趋势做出有用的预测。
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引用次数: 8
On a Non-periodic Shrinking Generator 非周期收缩发生器
I. Berzina, Raivis Bēts, J. Buls, Edmunds Cers, Liga Kulesa
We present a new non-periodic random number generator based on the shrinking generator. The A-sequence is still generated using a LFSR, but the S-sequence is replaced by a finitely generated bi-ideal - a non-periodic sequence. The resulting pseudo-random sequence performs well in statistical tests. We show a method for the construction of an infinite number of finitely generated bi-ideals from a given A-sequence, such that the resulting sequence of the shrinking generator is nonperiodic. Further we prove the existence of what we call universal finitely generated bi-ideals that produce non-periodic words when used as the S-sequence of a shrinking generator for all non-trivial periodic A-sequences.
在此基础上提出了一种新的非周期随机数生成器。a序列仍然使用LFSR生成,但s序列被有限生成的双理想-非周期序列所取代。所得伪随机序列在统计检验中表现良好。给出了从给定的a序列构造无限个有限生成双理想的方法,使得缩生成器的结果序列是非周期的。进一步证明了我们所称的产生非周期词的全称有限生成双理想的存在性,当将其用作所有非平凡周期a序列的收缩发生器的s序列时。
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引用次数: 5
Learning to Unlearn in Lattices of Concepts: A Case Study in Fluid Construction Grammars 在概念格中学习遗忘:以流体结构语法为例
Liviu Ciortuz, Vlad Saveluc
This paper outlines a couple of lattice-based (un)learning strategies proposed in a recent development of unification-based grammars, namely the Fluid Construction Grammar (FCG) setup. These (un)learning strategies are inspired by two linguistic phenomena occurring in a dialect spoken in the Banat area of Romania. Children from that region -- where influences produced over centuries by Serbian, a Slavic language, are obvious -- learn in school the modern Romanian language, which is a Romance language. This particular setup offers us the possibility to model in FCG a two-step learning process: the first step is that of learning a (perfective) verbal aspect similar to the one already presented by Kateryna Gerasymova in her MSc thesis, while the second one is concerned with un-learning (or, learning another linguistic "construction'' over) this verbal aspect. Thus, the interesting issue here is how learning could continue beyond learning the verbal aspects. We will first give linguistic facts, after which we will outline the way in which FCG could model such a linguistic process. From the computational point of view, we show that the heuristics used in this grammar repairing process can be automatically derived since the meanings associated to words and phrases are organized in a lattice of feature structures, according to the underlying constraint logics. We will later discuss the case of another verbal marker in the dialect spoken in Banat. It will lead us to sketch a composite, quite elaborated (un)learning strategy.
本文概述了基于统一的语法的最新发展中提出的几个基于格的学习策略,即流体结构语法(FCG)设置。这些学习策略的灵感来自罗马尼亚巴纳特地区一种方言中的两种语言现象。该地区的孩子们在学校里学习现代罗马尼亚语,这是一种罗曼语,几个世纪以来,塞尔维亚语(一种斯拉夫语言)对该地区的影响是显而易见的。这种特殊的设置为我们提供了在FCG中模拟两步学习过程的可能性:第一步是学习一个(完成的)言语方面,类似于katyna Gerasymova在她的硕士论文中已经提出的,而第二步是关于不学习(或学习另一种语言“结构”)这个言语方面。因此,这里有趣的问题是学习如何在学习语言方面之外继续学习。我们将首先给出语言事实,然后我们将概述FCG如何对这种语言过程进行建模。从计算的角度来看,我们表明在这个语法修复过程中使用的启发式可以自动导出,因为与单词和短语相关的含义是根据底层约束逻辑组织在特征结构的晶格中。我们稍后将讨论巴纳特方言中另一种言语标记的情况。它将引导我们勾勒出一个综合的、相当详细的(非)学习策略。
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引用次数: 2
A Genetic Approximation of Closest String via Rank Distance 基于秩距的最近弦的遗传逼近
Liviu P. Dinu, Radu Tudor Ionescu
This paper aims to fully present a new genetic approach that uses rank distance for solving two known NP complete problems: closest string and closest sub string. We build a genetic algorithm for each of the two problems and we describe the genetic operations involved. The genetic algorithm adapted for the closest sub string problem uses standard genetic operations, while the genetic operations for the closest string problem are only inspired from nature. Both genetic algorithms bring something new by using a fitness function based on rank distance. The tests for both problems show that our genetic approach via rank distance has good results.
本文提出了一种新的遗传方法,利用秩距离来求解两个已知的NP完全问题:最接近串和最接近子串。我们为这两个问题分别建立了一个遗传算法,并描述了所涉及的遗传操作。适用于最近子串问题的遗传算法使用标准的遗传操作,而适用于最近子串问题的遗传操作仅来自自然界的启发。这两种遗传算法都采用了基于秩距离的适应度函数。对这两个问题的测试表明,基于秩距的遗传方法具有良好的效果。
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引用次数: 7
Lorenz Equilibrium: Concept and Evolutionary Detection 洛伦兹平衡:概念和进化检测
Réka Nagy, D. Dumitrescu, R. Lung
The most popular solution concepts in game theory, Nash and Pareto equilibrium, have some limitations when applied in real life. Nash equilibrium rarely assures maximal payoff and the Pareto equilibrium is a set of solutions that is often too hard to process. Our aim is to find an equilibrium concept that provides a small set of efficient solutions and is equitable for all players. The Lorenz dominance relation is considered and a crowding based differential evolution method is proposed to detect the Lorenz-optimal solutions. The Lorenz equilibrium for games is proposed. Experimental results show the effectiveness of the proposed approach.
博弈论中最流行的解决方案概念,纳什和帕累托均衡,在现实生活中应用时有一些局限性。纳什均衡很少能保证最大收益,而帕累托均衡是一组通常难以处理的解决方案。我们的目标是找到一种平衡概念,提供一套有效的解决方案,对所有参与者都是公平的。考虑Lorenz优势关系,提出了一种基于拥挤的差分进化方法来检测Lorenz最优解。提出了博弈的洛伦兹平衡。实验结果表明了该方法的有效性。
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引用次数: 5
Trust Model for Virtual Organizations 虚拟组织的信任模型
Sofia Neata, A. Urzica, A. Florea
in human society, trust plays an important role -- it is the main factor behind most decisions. Within an organization, both real and virtual, a series of decisions on personnel management flow are made. The paper proposes a trust model of agents in a virtual organization, which can be used to decide whether it is better to start, continue, or stop working with the evaluated agent. The trust factor of an agent is summarized as a unique value based on a function which properly aggregates the agent's characteristics and the available information on agent's performance. The proposed model has the advantage of assuring simple calculations and providing an overview of the evaluated agent's performance.
在人类社会中,信任扮演着重要的角色——它是大多数决定背后的主要因素。在一个组织内部,无论是真实的还是虚拟的,都要做出一系列关于人事管理流程的决策。本文提出了一个虚拟组织中代理的信任模型,该模型可以用来决定是否开始、继续或停止与被评估的代理合作。agent的信任因子是基于一个函数的唯一值,该函数正确地聚合了agent的特征和关于agent性能的可用信息。所提出的模型具有保证计算简单和提供评估代理性能概览的优点。
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引用次数: 4
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2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
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