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9th IEEE International Conference on Cognitive Informatics (ICCI'10)最新文献

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Topical Crawler based on multi-level vector space model and optimized hyperlink chosen strategy 基于多层次向量空间模型和优化超链接选择策略的主题爬虫
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599702
Yang Xu, Sui Ai-na, Tang Zhan-kun
In this study, through researching and analyzing the technology of Topical Crawler, we improve the critical algorithm, and present the Topic-Relevance judgment algorithm based on Multi-Level Vector Space Model and the Topical Search Strategy based on the content evaluation, which combine with the simple link structure analysis and link tags data analysis. Through the analysis of the experimental data, the algorithm and the strategy proposed in this research have higher accuracy and efficiency, which can improve the performance of the Traditional Topical Crawler greatly.
本研究通过对主题爬虫技术的研究和分析,对关键算法进行改进,结合简单的链接结构分析和链接标签数据分析,提出了基于多层次向量空间模型的主题相关性判断算法和基于内容评价的主题搜索策略。通过对实验数据的分析,本研究提出的算法和策略具有更高的准确率和效率,可以大大提高传统局部爬行器的性能。
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引用次数: 5
A new approach to the study of lightning-strike density distributions 雷击密度分布研究的新方法
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599705
A. Faghfouri, W. Kinsner, David Swatek
Lightning strikes are physical phenomena which have adverse effects on power delivery systems and lines. Predicting the ge ographical and te mporal distr ibution of the lightning str ike de nsities thr ough modeling can help power s ystem d esigners to imp rove th e protection of the existing and new power systems and transmission lines. In order to comp are th e res ults of the model simulations to the p hysical d ata, ch aracterization is required. The distribution of the lightning str ike de nsities ge nerates patterns w hich ar e highly nonline ar, nonstationar y, and stochastic. Traditional single-s cale analyzes and measures are insufficient to characterize such structures. Multiscale analysis of these patterns indicates their self-affinity over multiple scales, which is an indication of multifractality of these structures. Con sequently, mu ltifractal an alysis methods such as the Rényi fractal dimension spectrum are appropriate can didates for ch aracterization of these density map s. Th is p aper in vestigates con vergence in distribution of the lightning strike maps of Manitoba from 1998 to 2004. In addition, the sensitivity of the multifractal characterization to convergence in distribution is studied. The res ults in dicate a con vergence in statistical distribution for the lightning strike de nsity distributions and strong s ensitivity of th e Rén yi s pectra to th e d ata variations. This approach could be classified as cognitive engineering of p ower-delivery systems because it in eludes the sensing of th e environment and extraction of features over many scales and extended duration of time.
雷击是一种物理现象,对电力输送系统和线路产生不利影响。通过建模来预测雷击密度的地理分布和重要分布,可以帮助电力系统设计人员改进对现有和新的电力系统和输电线路的保护。为了将模型模拟的结果与实际数据进行比较,需要进行各种表征。雷击密度的分布具有高度的非在线性、非平稳性和随机性。传统的单尺度分析和测量不足以表征这种结构。这些模式的多尺度分析表明它们在多尺度上的自亲和性,这是这些结构的多分形的一个指示。因此,多重分形分析方法,如r分形维数谱,可以作为这些密度图的主要表征方法。本文对1998 - 2004年曼尼托巴省雷击图分布的收敛性进行了研究。此外,还研究了多重分形表征对分布收敛的敏感性。结果表明,雷击密度分布在统计分布上具有收敛性,雷击密度谱对雷击数据变化具有较强的敏感性。这种方法可以被归类为电力输送系统的认知工程,因为它避免了对环境的感知和对多尺度和长时间的特征提取。
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引用次数: 1
Discrete Dynamical Systems for encoding Concurrent Computing Systems 编码并发计算系统的离散动力系统
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599731
F. Pelayo, J. Valverde, Maria L. Pelayo, F. Cuartero
Formal methods in Computer Science are a particular kind of mathematically-based techniques for the specification, development and verification of software and hardware systems. Among them, Petri Nets have been widely used because of their high expressive power and accurate description capabilities. On the other hand, Dynamical Systems theory has not been used for these purposes so far. In this paper we present the first use of Discrete Dynamical Systems under the aim to better analyze Concurrent Computing Systems. In order to do that, Petri Nets, PNs, are properly encoded into DDSs, so defining the corresponding Phase Space with its metric structure and the evolution operator of the system.
计算机科学中的形式化方法是一种特殊的基于数学的技术,用于软件和硬件系统的规范、开发和验证。其中,Petri网以其强大的表达能力和准确的描述能力得到了广泛的应用。另一方面,动力系统理论到目前为止还没有被用于这些目的。为了更好地分析并发计算系统,本文首次使用离散动力系统。为此,将Petri网(PNs)适当地编码到dds中,从而定义相应的相空间及其度量结构和系统的演化算子。
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引用次数: 2
The design of awareness and operation module for the symbiotic applications 共生应用的感知与操作模块设计
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599834
S. Fujita, K. Sugawara, C. Moulin, J. Barthès
The symbiotic application is designed to achieve the function of supporting a user based on the knowledge of social and perceptual interaction. The architecture of the symbiotic application was described at the ICCI'08. In this paper, we described the design of symbiotic base mechanism for the cognition functions and the decision functions in a symbiotic application. The symbiotic base mechanism converts the signals from the real space and the digital space to the awareness. The symbiotic base mechanism do the action on actuators based on the operation by the cognition functions and the decision functions. The cognition functions and the decision functions are achieved by the intelligent multi-agent system such as an OMAS and a ADIPS/DASH. On the other hand, the symbiotic base mechanism is constructed by a multi-agent system which is called by the Symbiotic Multi-Agent: SYMA. The example scenario is shown by the combination of multi-paradigm/multi-agent framework.
共生应用是基于社交和感知交互的知识来实现支持用户的功能。ICCI'08描述了共生应用程序的体系结构。本文描述了一个共生应用中认知函数和决策函数的共生基机制设计。共生基础机制将现实空间和数字空间的信号转化为意识。共生基机制在认知函数和决策函数作用的基础上对执行器进行作用。认知功能和决策功能由多智能体系统(如OMAS和ADIPS/DASH)实现。另一方面,共生基础机制是由一个多智能体系统构建的,称为共生多智能体:SYMA。通过多范式/多代理框架的组合来展示示例场景。
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引用次数: 3
A new linguistic approach to sentiment automatic processing 情感自动处理的语言学新方法
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599729
Zied Kechaou, M. B. Ammar, A. Alimi
With the growth of the Web2.0, e-commerce has become very popular in use, many websites offer the opportunity to make sales online and give the opportunity to get own an online review about objects, persons, and products. New opportunities and challenges arise as people can now actively use information technologies to seek and understand other people's opinions (sentiments) when to making their choices. In this paper, we propose a new two-step approach for an automatic sentiment processing, consisting a first step dealing with extract the subjective portions of reviews and a second one which determines the review overall sentiment by identifying whether a review appreciates (positive) or desappreciates (negative) its purpose. This approach consists of a four levels processing chain operating in a parallel way (i.e syntactic, semantic, linguistic and sentiment analysis).
随着Web2.0的发展,电子商务在使用中变得非常流行,许多网站提供了在线销售的机会,并提供了对物品、人员和产品进行在线评论的机会。新的机遇和挑战出现了,因为人们现在可以积极地使用信息技术来寻求和理解他人的意见(情绪)时,他们的选择。在本文中,我们提出了一种新的两步自动情感处理方法,包括第一步处理提取评论的主观部分,第二步通过识别评论是欣赏(积极)还是贬低(消极)其目的来确定评论的整体情感。该方法由并行操作的四层处理链(即句法、语义、语言和情感分析)组成。
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引用次数: 9
Security algorithm of face recognition based on local binary pattern and random projection 基于局部二值模式和随机投影的人脸识别安全算法
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599815
Zhou Lingli, Lai Jianghuang
With the growing applications of biometrics, there are many concerns about the security and privacy of the biometrics data. This paper proposes a security algorithm of face recognition, which bases on the local binary pattern (LBP) and random projection. Feature extraction is first performed on face images by LBP operator. Random projection is done using the random matrix which is generated by user specific key. All the above successive procedures produce the cancelable and non-invertible feature data, which is stored in template databases and can achieve the protection of biometrics data. In extensive experiments with publicly available face datasets ORL, YALE and FERET, higher recognition accuracy is reached, which demonstrates that the proposed approach is able to not only protect the biometrics data, but also is robust to various complex conditions, such as illumination, changes in the pose and expression, etc.
随着生物识别技术的应用日益广泛,人们对生物识别数据的安全性和隐私性提出了许多担忧。提出了一种基于局部二值模式和随机投影的人脸识别安全算法。首先利用LBP算子对人脸图像进行特征提取。随机投影是利用用户指定密钥生成的随机矩阵来实现的。上述连续的步骤产生可取消和不可逆转的特征数据,这些特征数据存储在模板数据库中,可以实现对生物特征数据的保护。在ORL、YALE和FERET等公开的人脸数据集上进行了大量的实验,取得了较高的识别精度,表明该方法不仅能够保护生物特征数据,而且对光照、姿态和表情变化等各种复杂条件具有较强的鲁棒性。
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引用次数: 3
3D Symbiotic space for agent-aided collaborative work 代理辅助协同工作的三维共生空间
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599837
Akira Sakatoku, Akifumi Kawato, Toshiaki Osada, G. Kitagata, Tetsuo Kinoshita
In this paper, we propose 3D space which is based on concept of real and digital spaces symbiosis. Recently, collaborative work environments which are using Augmented Reality have been expected to realize effective collaborative works. However, these environments have some limitations. One of limitations is restricted availability of devices, and another limitation is low usability. Because of these limitations, it is difficult to utilize these environments, for general users. To break these limitations, we propose the construction scheme of 3D symbiotic space. Collaborative work environments based on 3D symbiotic space enable users to do collaborative works intuitively as if virtual spaces united with the real space. First, we present fundamental technologies for 3D symbiotic space. Next, we show the design and implementation of the agent-aided collaborative work environments based on 3D symbiotic space. Finally, we confirm feasibility of 3D symbiotic space with experimental results.
本文提出了基于现实空间与数字空间共生概念的三维空间。近年来,人们期望利用增强现实技术来实现有效的协同工作。然而,这些环境有一些限制。其中一个限制是设备的有限可用性,另一个限制是低可用性。由于这些限制,一般用户很难利用这些环境。为了打破这些局限,我们提出了三维共生空间的构建方案。基于三维共生空间的协同工作环境,使用户能够直观地进行协同工作,仿佛虚拟空间与真实空间相结合。首先,我们提出了三维共生空间的基本技术。接下来,我们展示了基于三维共生空间的代理辅助协同工作环境的设计和实现。最后用实验结果验证了三维共生空间的可行性。
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引用次数: 0
A solution to commutativity problems found in iterated belief revision 迭代信念修正中可交换性问题的一个解
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599734
Yan Ma, Robert E. Mercer
This paper mainly addresses the commutativity issue discovered in iterated belief revisions under the framework of AGM. Namely, given an iterated formula K ∗ x ∗ y, under what condition K ∗ x ∗ y = K ∗ (x ⁁ y) = K ∗ y ∗ x can hold needs to be reconsidered. As we shall demonstrate, AGM 7th and 8th postulates together falsely imply the commutativity existing in Rott's selection puzzle. On the other hand, Nayak et al.'s counteracting problem which demands commutativity is rejected by AGM postulates. The worse thing is the two realistic puzzles cannot be correctly simulated by AGM postulates under classic logics. Towards these issues, we suggest the inaccurate definition of consequence operation Cn needs to be modified in order to accommodate part of Rott's puzzle. Furthermore, we illustrated neither of the two puzzles can be simulated under the AGM framework in the content level. Therefore, we present our approach as follows: first, we built a belief revision framework which satisfies the first six AGM postulates in the content level. Second, by setting appropriate OCF, our framework is able to accommodate the two puzzles in epistemic state level. Third, we prove the commutativity can be held in the epistemic state level if and only if (K ∗ x) ∩ (K ∗ y) ≠ φ and (K ∗ x) ∗ (K ∗ y) ├/┴ and thus eliminate the intrusion by the selection puzzle. Last, we demonstrate the hold of commutativity is only a special case of the selection criterion we suggest, that is, the most explainable interpretation(s) that satisfy the most recent evidence should be chosen to be the final revision result. In this sense, we can tell in the counteracting problems, namely, when only (K ∗ x) ∩ (K ∗ y) ≠ φ is satisfied, why the revision result had better be represented by K ∗ (x ∗ y) is because the interpretation(s) suggested in our selection criterion is only guaranteed to be in K ∗ (x ∗ y) rather than its iterated form. Hence, we unify both of puzzles with the modified AGM framework.
本文主要研究AGM框架下迭代信念修正中发现的交换性问题。即,给定一个迭代公式K∗x∗y,在什么条件下K∗x∗y = K∗(x y) = K∗y∗x可以成立需要重新考虑。正如我们将证明的那样,AGM第7和第8个假设一起错误地暗示了罗特选择难题中存在的交换性。另一方面,Nayak等人要求交换性的抵消问题被AGM假设所拒绝。更糟糕的是,经典逻辑下的AGM假设无法正确模拟这两个现实难题。针对这些问题,我们建议修改结果运算Cn的不准确定义,以适应Rott的部分难题。此外,我们还说明了在内容层面上,这两个谜题都不能在AGM框架下进行模拟。因此,我们提出的方法如下:首先,我们建立了一个信念修正框架,该框架在内容层面满足AGM的前六个假设。其次,通过设置适当的OCF,我们的框架能够在认知状态层面上容纳这两个谜题。第三,我们证明了交换性在认知状态层面上当且仅当(K∗x)∩(K∗y)≠φ和(K∗x)∗(K∗y)├/ -,从而消除了选择谜题的入侵。最后,我们证明了交换性的持有只是我们建议的选择标准的一个特例,即应该选择满足最新证据的最可解释的解释作为最终的修订结果。在这个意义上,我们可以在抵消问题中说,即,当只有(K∗x)∩(K∗y)≠φ满足时,为什么修正结果最好用K∗(x∗y)表示,是因为我们的选择标准中建议的解释只保证是K∗(x∗y)而不是它的迭代形式。因此,我们将这两个难题与修改后的AGM框架统一起来。
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引用次数: 0
Object/gesture recognition software in the “China Brain Project” “中国大脑工程”中的物体/手势识别软件
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599827
H. D. Garis, Chen Xiaoxi, Yang Ye, Chen Shuo, B. Goertzel, Ruiting Lian
This paper introduces a Partially Connected Neural Evolutionary (Parcone) model and its application to object and gesture recognition as part of the "China Brain Project", which aims to build China's first artificial brain, consisting of 10,000s of evolved interconnected neural net modules, each with its own little task, similar to Minsky's agents.
本文介绍了部分连接神经进化(Parcone)模型及其在物体和手势识别中的应用,作为“中国大脑计划”的一部分,该计划旨在建立中国第一个人工大脑,由10,000个进化的相互连接的神经网络模块组成,每个模块都有自己的小任务,类似于明斯基的代理。
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引用次数: 0
DLDA and LDA/QR equivalence framework for human face recognition 人脸识别的DLDA和LDA/QR等价框架
Pub Date : 2010-07-07 DOI: 10.1109/COGINF.2010.5599743
Rongbin Li, Eddie C. L. Chan, G. Baciu
Singularity problem in human face feature extraction is very challenging that has gained a lot of attentions during the last decade. A pseudo-inverse linear discriminant analysis (LDA) plays a important role to solve the singularity problem of the scatter matrices. In this paper, we make use of Linear Discriminant Analysis via QR decomposition (LDA/QR) and Direct Linear Discriminant Analysis (DLDA) to solve the singularity problem in face feature recognition. We also show that an equivalent relationship between DLDA and LDA/QR. They can be regarded as a special case of pseudo-inverse LDA. Similar to LDA/QR algorithm, DLDA could be a two-stage LDA method. Interestingly, we find that the first stage of DLDA can act as a dimensionality reduction algorithm. In our experiment, we compare DLDA and LDA/QR algorithms in terms of classification accuracy, computational complexity in ORL and Yale face datasets. We have also conducted experiments to compare their first stages on these datasets. Our results indicate that the empirical and theoretic proofs of equivalence between DLDA and LDA/QR algorithms coincidentally converge and verify their same capabilities in the dimension reduction.
人脸特征提取中的奇异性问题是一个非常具有挑战性的问题,近十年来引起了人们的广泛关注。伪逆线性判别分析(LDA)是解决散射矩阵奇异性问题的重要方法。本文利用基于QR分解的线性判别分析(LDA/QR)和直接线性判别分析(DLDA)来解决人脸特征识别中的奇异性问题。我们还证明了DLDA和LDA/QR之间的等价关系。它们可以看作伪逆LDA的一种特殊情况。与LDA/QR算法类似,DLDA可以是一种两阶段LDA方法。有趣的是,我们发现DLDA的第一阶段可以作为降维算法。在我们的实验中,我们比较了DLDA和LDA/QR算法在ORL和Yale人脸数据集上的分类精度和计算复杂度。我们还进行了实验,比较他们在这些数据集上的第一阶段。我们的研究结果表明,DLDA和LDA/QR算法等价性的经验和理论证明是一致的,并验证了它们在降维方面的相同能力。
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引用次数: 3
期刊
9th IEEE International Conference on Cognitive Informatics (ICCI'10)
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