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

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Design of Fuzzy Logic Controller based on TMS320C6713 DSP 基于TMS320C6713 DSP的模糊控制器设计
P. Maji, S. K. Patra, K. Mahapatra
A Fuzzy Logic Controller (FLC) is designed with heuristic knowledge of the plant. There are several application based Fuzzy Logic Controllers in literature. However, application specific controllers lack reusability and are expensive, if not produced in bulk. This paper presents a general purpose and easily configurable fuzzy logic based controller which can work with 4 inputs and generates a control action based on the knowledge base. Expert operator knowledge can also be directly programmed into the knowledge base (also known as rule base) of the designed controller without ceasing the control operation. The ease of file handling and user interactivity of DSP processors is heavily exploited and TMS320C6713 DSP was chosen as the hardware platform. Further this paper also analyses the system performance with reference to the Fuzzy Logic Toolbox of Matlab.
利用被控对象的启发式知识,设计了一种模糊控制器。文献中有几种基于模糊逻辑控制器的应用。然而,特定于应用程序的控制器缺乏可重用性,而且如果不批量生产,价格也很昂贵。本文提出了一种通用的、易于配置的模糊逻辑控制器,它可以在4个输入下工作,并根据知识库生成控制动作。专家算子知识也可以在不停止控制运行的情况下,直接编程到所设计控制器的知识库(又称规则库)中。充分利用DSP处理器的文件处理便利性和用户交互性,选用TMS320C6713 DSP作为硬件平台。在此基础上,结合Matlab的模糊逻辑工具箱对系统性能进行了分析。
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引用次数: 3
Discovering components of the Primary Language 发现主要语言的组成部分
B. Stilman
In 1957 J. von Neumann introduced the Primary Language when he suggested that the languages we use are just external languages while the Primary Language is the only internal language of the human brain. Due to its age this cannot be symbolic. Instead, this must be a system of hybrid and mostly analog algorithms embedded in the human brain. This paper reports results of research on two possible components of the Primary Language, Linguistic Geometry (LG) and the Algorithm of Discovery. LG is a type of game theory for a class of extensive discrete games called Abstract Board Games (ABG), scalable to the level of real life defense systems. LG is an evolutionary product of millions of years of human warfare. It appears that LG is a formal model of human reasoning about armed conflict, a mental reality “hard-wired” in the human brain. Experiences of development of LG were utilized for solving major puzzle, discovering the Algorithm of Discovery, which must be another ancient component of the Primary Language. The major emphasis of his paper is on the results of investigation of the mental processes called visual streams that manifest execution of this algorithm. It reveals the various types of visual streams, the way of focusing those streams and constructing new streams. It particular it reveals the relationship of visual streams and mathematical proofs.
1957年,冯·诺依曼提出,我们使用的语言只是外部语言,而主要语言是人类大脑唯一的内部语言。由于它的年代久远,它不可能是象征性的。相反,这一定是一个嵌入人脑的混合和模拟算法系统。本文报告了语言几何(LG)和发现算法(Algorithm of Discovery)这两个可能构成主要语言的组成部分的研究结果。LG是一类被称为抽象棋盘游戏(ABG)的广泛离散游戏的一种博弈论,可扩展到现实生活防御系统的水平。LG是人类数百万年战争的进化产物。LG似乎是人类对武装冲突进行推理的正式模型,是人类大脑中“根深蒂固”的精神现实。LG的开发经验被用于解决重大难题,发现发现算法,这一定是原始语言的另一个古老组成部分。他的论文的主要重点是对显示该算法执行的称为视觉流的心理过程的调查结果。它揭示了各种类型的视觉流,聚焦这些流和构建新流的方法。特别是它揭示了视觉流和数学证明的关系。
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引用次数: 5
Exponential stability of hysteresis neural networks with varying inputs 变输入迟滞神经网络的指数稳定性
G. Padmavathi, P. V. S. Kumar
In this paper mathematical analysis of hysteresis neural network with varying inputs are proposed. Motivated by the application potential of the model we focus on existence, exponential stability and asymptotic equivalence of the networks. We establish sufficient conditions for exponential stability of this class of neural networks and this result can be applied through numerical example. The result improves the earlier publications due to the state convergence of the networks with neutral delays and varying inputs.
本文对变输入条件下的滞后神经网络进行了数学分析。由于该模型的应用潜力,我们重点研究了网络的存在性、指数稳定性和渐近等价性。给出了这类神经网络指数稳定的充分条件,并通过数值算例加以应用。由于具有中立延迟和不同输入的网络的状态收敛性,该结果改进了先前的出版物。
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引用次数: 2
Case study: Different approaches and their aspects for partner selection based on trust 案例研究:基于信任的合作伙伴选择的不同方法及其方面
Ondrej Malacka, J. Samek, F. Zboril, F. Zboril
Different trust models have arisen in the last few years. Most of them use the highest trust level selection method to choose an entity for an interaction. But the selection based on some probability method could meet some criteria, e.g. giving an opportunity to newcomers to participate even if there are already trustworthy entities in the system etc. This article is focused on experimental comparison of the highest trust level selection and the roulette wheel selection.
过去几年出现了不同的信任模式。它们大多使用最高信任级别选择方法来选择用于交互的实体。但是基于某种概率方法的选择可以满足一些标准,例如,即使系统中已经存在值得信赖的实体,也可以给新来者一个参与的机会等。本文主要研究了最高信任水平选择与轮盘赌选择的实验比较。
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引用次数: 0
Evaluation the day-of-the-week effect using long range dependence measures 使用长期依赖度量评估周中天数的影响
V. Sakalauskas, D. Kriksciuniene
The researchers working in the area of financial market investigations have noticed various anomalies which cause deviations from the most widely discussed laws of the financial markets - the efficient market hypothesis. The day-of-the-week effect is one of the types of financial market anomalies, when the particular days of the week have exclusive characteristics of trading activeness or the profitability of the stocks. In this article we explore possibilities to identify the day-of-the-week effect in emerging financial markets by applying Hurst exponent measure which is primarily designed for identification and measurement of long range dependence and information efficiency of time series.
从事金融市场调查领域的研究人员已经注意到各种异常现象,这些异常现象导致了金融市场最广泛讨论的规律——有效市场假说的偏离。“周日效应”是金融市场异常现象的一种,指的是一周中的某几天具有股票交易活跃度或盈利能力的独有特征。在本文中,我们探讨了通过应用赫斯特指数测量来识别新兴金融市场中星期效应的可能性,赫斯特指数测量主要用于识别和测量时间序列的长期依赖性和信息效率。
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引用次数: 1
A flexible approach for providing adaptivity in learning management system based on learning styles 基于学习风格的学习管理系统提供适应性的灵活方法
Samar M. Alkhuraiji, B. Cheetham, M. A. Razek, Omaima Bamasak
This paper describes our approach to build a dynamic adaptive course in learning management systems based on students' learning styles. Our method aims to adapt the student's learning style by taking the advantage of the previous students taught the same course. To achieve this goal, we present an approach for adaptivity by taking the advantage of information that can be taken from previous students' data record to find similarity between the students. Based on this similarity we can find the next suitable learning style for the current students.
本文介绍了基于学生学习风格构建动态自适应课程学习管理系统的方法。我们的方法旨在通过利用以前教同一门课程的学生的优势来适应学生的学习方式。为了实现这一目标,我们提出了一种自适应方法,通过利用可以从以前的学生数据记录中获取的信息来发现学生之间的相似性。基于这种相似性,我们可以找到适合当前学生的下一个学习方式。
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引用次数: 0
A methodology for GPS-based waterlogging prediction and smart route generation 基于gps的内涝预测及智能路径生成方法
A. Choudhury, A. Agrawal, Priyanka Sinha, C. Bhaumik, Avik Ghose, S. Bilal
This paper describes a system for predicting water logging prone areas in multiple routes. The approach is based on the theory that water tends to accumulate in low-lying areas and hence a route which contains more and bigger basins is more likely to behave worse on a rainy day. Using this basic principle, algorithms are formulated and applied to identify and quantify water logging zones on a route. To prove the effectiveness of the proposed system, the derived confidence scores for multiple routes given by the system are compared to judgements given by human commuters. A view of all possible routes along with quantified estimates of waterlogging confidence scores are rendered in Google map.
本文介绍了一种多路径内涝易发区预测系统。这种方法是基于这样的理论:水倾向于在低洼地区积聚,因此一条包含更多更大盆地的路线在雨天更有可能表现得更差。利用这一基本原理,制定并应用算法来识别和量化路线上的内涝区。为了证明该系统的有效性,将系统给出的多条路线的置信度分数与人类通勤者给出的判断进行了比较。谷歌地图显示了所有可能路线的视图以及对内涝置信度评分的量化估计。
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引用次数: 5
Strategic methods for automated trading in Forex 外汇自动交易的策略方法
Rui Maciel Casanova Pinto, João Silva
This study focuses on the negotiation in the financial markets, specifically in programming an algorithm to trade automatically (without human intervention) in the foreign exchange market (Forex). The platform used in this study was the Meta Trader (version 5), which allows for this kind of negotiation. The main objective was to conclude about the effectiveness of a newly developed strategy for automatic negotiation. The developed strategies must have the ability to identify situations with lucrative potential based on several types of trading strategies used around the world. Methods were created based on technical and fundamental analysis as well as correlations. Fundamental analysis, in particular, is a novelty in this type of algorithms since, most part of the times, it is hard to quantify the information necessary to make decisions based on this type of analysis. Moreover, some other functions were developed in order to optimize the overall performance of the implemented strategies.
本研究的重点是金融市场中的谈判,特别是在编写一种在外汇市场(Forex)中自动(无人为干预)交易的算法。在这项研究中使用的平台是Meta Trader(版本5),它允许这种协商。主要目标是就一项新制定的自动谈判战略的有效性得出结论。开发的策略必须能够根据世界各地使用的几种交易策略识别具有盈利潜力的情况。方法是基于技术和基本面分析以及相关性而创建的。特别是基本面分析,在这种类型的算法中是一种新奇的东西,因为在大多数情况下,很难量化基于这种类型的分析做出决策所需的信息。此外,还开发了一些其他功能,以优化所实施策略的整体性能。
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引用次数: 5
Off-line signature verification using G-SURF 使用G-SURF进行离线签名验证
S. Pal, S. Chanda, U. Pal, K. Franke, M. Blumenstein
In the field of biometric authentication, automatic signature identification and verification has been a strong research area because of the social and legal acceptance and extensive use of the written signature as an easy method for authentication. Signature verification is a process in which the questioned signature is examined in detail in order to determine whether it belongs to the claimed person or not. Signatures provide a secure means for confirmation and authorization in legal documents. So nowadays, signature identification and verification becomes an essential component in automating the rapid processing of documents containing embedded signatures. Sometimes, part-based signature verification can be useful when a questioned signature has lost its original shape due to inferior scanning quality. In order to address the above-mentioned adverse scenario, we propose a new feature encoding technique. This feature encoding is based on the amalgamation of Gabor filter-based features with SURF features (G-SURF). Features generated from a signature are applied to a Support Vector Machine (SVM) classifier. For experimentation, 1500 (50×30) forgeries and 1200 (50×24) genuine signatures from the GPDS signature database were used. A verification accuracy of 97.05% was obtained from the experiments.
在生物特征认证领域,由于书面签名作为一种简便的认证方法被社会和法律所接受和广泛使用,自动签名识别与验证一直是一个强有力的研究领域。签名验证是详细检查被质疑的签名以确定其是否属于被索赔人的过程。签名为法律文件的确认和授权提供了一种安全的方式。因此,签名识别与验证已成为实现对包含嵌入签名的文档进行自动化快速处理的重要组成部分。有时,当受质疑的签名由于扫描质量较差而失去其原始形状时,基于部分的签名验证可能是有用的。为了解决上述不利情况,我们提出了一种新的特征编码技术。这种特征编码是基于Gabor滤波器的特征与SURF特征(G-SURF)的融合。从签名生成的特征被应用到支持向量机(SVM)分类器中。在实验中,使用了来自GPDS签名数据库的1500个伪造签名(50×30)和1200个真实签名(50×24)。实验验证精度为97.05%。
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引用次数: 27
Representation and automatic learning of temporal relations between time periods with uncertain boundaries 具有不确定边界的时间段间时间关系的表示与自动学习
M. C. Nicoletti, F. Lisboa, Estevam Hruschka, Osvaldo Luiz De Oliveira
This paper describes a proposal which extends Allen's interval algebra by adapting the formalism for dealing with binary relations involving time periods with uncertain boundaries. The extended formalism has been proposed having in mind the subsequent investigation of the automatic learning of temporal relations using an inductive logic programming system (FOIL). Learning results are presented and discussed.
本文提出了一种扩展Allen区间代数的方法,采用该方法来处理具有不确定边界的包含时间段的二元关系。扩展形式主义的提出是考虑到使用归纳逻辑编程系统(FOIL)对时间关系自动学习的后续研究。提出并讨论了学习结果。
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引用次数: 1
期刊
2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
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