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2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)最新文献

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A Model System of Error Commission, Detection and Correction for High Precision Error Coupling in the Error Monitoring and Processing System: Role of Glycemic Allostasis Regulation 误差监测与处理系统中高精度误差耦合的误差检测与校正模型系统:血糖平衡调节的作用
M. Osain, Pereverzev Vladimir Alexeevich, Mastorakis Nikos, E. Pereverzeva
Error commission, detection, and correction are the products of the activities of a complex neural network referred to the error monitoring and processing system (EMPS) diffusely located in different brain regions. High-precision error coupling is the hallmark of EMPS functioning that is the result of effective neural processing and monitoring of error signals. Error commission, detection and correction as generic entities of the neural network of EMPS are influenced by some factors classified under two broad categories: endogenous and endogenous. We had previously reported the effect of exogenous and endogenous alcohol as well as other factors that may affect this system. It is imperative to note that cells regulating the activities of the brain (including regions responsible for EMPS) rely mainly on the metabolic substrate "glucose" to ensure adequate functioning. More importantly, it is not just the availability of glucose that ensures adequate functioning of neurons, but the process by which glycemia stabilization is achieved through the balancing of glucose consumption rate and release into the blood stream under a variety of physiological stressors (cognitive or mental workload e.g. mental work executed by participants in an experimental conditions over a period 4-6 hours on fasting) to maintain the "set point". This process that is referred to glycemic allostasis involves the utilization of glucose molecules to maintain the anatomo-physiological integrity of cells comprising the neural network of EMPS. Unfortunately, little attention has been given to the allostatic regulation of glycemia that is necessary to ensure adequate functioning and provide high precision error coupling in the EMPS. In this paper, we produced a model system of error commission, detection, and correction and examine the possible effects and mechanisms of glycemic allostasis regulation on error coupling in the EMPS.
错误诊断、检测和纠正是一个复杂的神经网络活动的产物,即错误监测和处理系统(EMPS),它分布在大脑的不同区域。高精度误差耦合是EMPS功能的标志,它是对误差信号进行有效神经处理和监测的结果。作为EMPS神经网络的一般实体,错误率、检测和纠错受到一些因素的影响,这些因素可分为两大类:内生因素和内生因素。我们之前曾报道过外源性和内源性酒精以及其他可能影响该系统的因素的影响。必须注意的是,调节大脑活动的细胞(包括负责EMPS的区域)主要依赖于代谢底物“葡萄糖”来确保充分的功能。更重要的是,不仅是葡萄糖的可用性确保了神经元的充分功能,而且血糖稳定的过程是通过在各种生理应激源(认知或精神负荷,例如参与者在实验条件下禁食4-6小时进行的脑力工作)下平衡葡萄糖的消耗率和释放到血液中的葡萄糖来维持“设定点”。这一过程被称为血糖失衡,涉及利用葡萄糖分子来维持构成EMPS神经网络的细胞的解剖生理完整性。不幸的是,很少有人注意到血糖的适应调节,这是确保EMPS充分发挥功能和提供高精度误差耦合所必需的。在本文中,我们建立了一个误差处理、检测和纠正的模型系统,并研究了血糖平衡调节对EMPS中误差耦合的可能影响和机制。
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引用次数: 2
Digital Signature Scheme Based on the Conjugate Twisted Root Extraction Problem 基于共轭扭根提取问题的数字签名方案
M. R. Valluri
Digital signatures are important primitives for building secure systems and are widely used in internet and electronic commerce for authencation. The most famous digital signature schemes are based on either the intractability of the integer factorization problem or the discrete logarithmic problem over finite fields. With Shor's algorithm on a quantum computer, these problems become tractable. Hence developments of signature schemes which are not based on these problems are crucial for maintaining information security. This paper introduces the conjugate twisted root extraction problem, and proposes a digital signature scheme based on a group of 2 × 2 matrices over N-truncated one variable polynomials. Its security relies on the cojugate twisted e-th root extraction problem. We prove that an adversary cannot forge a signature on a document unless the adversary extracts the e-th root in this group. The performance and other security issues are also discussed.
数字签名是构建安全系统的重要基本要素,在互联网和电子商务中广泛用于身份验证。最著名的数字签名方案要么是基于整数分解问题的难解性,要么是基于有限域上的离散对数问题。在量子计算机上使用肖尔的算法,这些问题变得容易处理。因此,不以这些问题为基础的签名方案的发展对于维护信息安全至关重要。介绍了共轭扭根提取问题,提出了一种基于n个截断的一元多项式上的2 × 2矩阵群的数字签名方案。其安全性依赖于共轭扭曲e-根提取问题。我们证明了攻击者不能在文件上伪造签名,除非攻击者提取了该组中的第e个根。还讨论了性能和其他安全问题。
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引用次数: 5
An Analytic Approach to Pay-Back Time Assessment of Grid-Connected PV Plants with ESS 基于ESS的并网光伏电站投资回收期评估分析方法
G. Bonanno, S. D. Caro, A. Sciammetta, T. Scimone, A. Testa
Grid connected photovoltaic plants for residential applications are normally designed through deterministic methods on the basis of system requirements as: PV array peak power, available budget, or available space. Unfortunately, these approaches give only suboptimal results. More effective design techniques are those oriented to fulfill given performance targets as minimum pay-back time, minimum life cycle cost, or minimum annual electrical energy cost. However, they require very complex optimization techniques, especially if the plant encompasses energy storage systems. An analytic approach is presented in this paper to optimally sizing the photovoltaic module array and the energy storage system in a grid-connected generator serving a set of residential loads, on the basis of annual average solar radiation data and load demand. The configuration with the shorter pay-back time is identified through a mathematical model, describing the variation of the annual energy cost as a function of the plant configuration. The proposed method can be easily modified to take into account different optimization targets, as maximum life-cycle profit.
住宅用并网光伏电站通常是根据光伏阵列峰值功率、可用预算或可用空间等系统需求,通过确定性方法进行设计的。不幸的是,这些方法只能给出次优结果。更有效的设计技术是那些面向实现给定的性能目标,如最小的回报时间,最小的生命周期成本,或最小的年度电能成本。然而,它们需要非常复杂的优化技术,特别是如果工厂包含能量存储系统。本文提出了一种基于年平均太阳辐射数据和负荷需求的分析方法,以优化为一组住宅负荷服务的并网发电机中的光伏组件阵列和储能系统的尺寸。通过一个数学模型,将年能源成本的变化描述为工厂配置的函数,确定了回款时间较短的配置。该方法可以很容易地修改,以考虑不同的优化目标,以最大的生命周期利润。
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引用次数: 3
Synchronization of Small SetData on Stable Period 稳定周期小集数据的同步
M. Poulos, V. Stefanidis, G. Anogianakis, A. Evangelou
Synchronization characteristic of periodic oscillators are based on the extraction of a special variable, phase. The subject of this phenomenon is considered as very important issue in a wide field of sciences. However, until now the research of the synchronization phenomena depends on big data set applications and the condition that this measuring needs the data sets to have same period. In this paper, we develop a new novel approach of the synchronization measuring of small data set using a new technique in which we create a procedure of stable period for each for investigation sequence of small data set. This study based on experimental results. Our future plan is to continue our work in order to found it with mathematical models. Furthermore, we would like to apply our method in other scientific fields.
周期振荡器的同步特性是基于提取一个特殊的变量——相位。这一现象的主题在广泛的科学领域被认为是一个非常重要的问题。然而,到目前为止,对同步现象的研究依赖于大数据集的应用,并且这种测量需要数据集具有相同的周期。本文提出了一种小数据集同步测量的新方法,该方法采用一种新技术,为小数据集的调查序列创建一个稳定周期过程。本研究基于实验结果。我们未来的计划是继续我们的工作,以便用数学模型找到它。此外,我们想把我们的方法应用到其他科学领域。
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引用次数: 3
Pricing in the Real Estate Market as a Stochastic Limit. Log Normal Approximation 房地产市场定价的随机限制。对数正态近似
V. Oleg, I. Olga, A. I. Anastasiya, B. Michael
We construct a stochastic model of real estate pricing. The method of the pricing construction is based on a sequential comparison of supply prices. We prove that under standard assumptions imposed upon the comparison coefficients there exists a unique non-degenerate limit in distribution and this limit has a Log Normal law of distribution. We verify agreement between empirical distributions of prices and theoretically obtained Log Normal distribution by numerous statistical data of real estate prices from Saint-Petersburg (Russia). To establish this accordance we essentially apply the efficient and sensitive test of fit of Kolmogorov-Smirnov. Basing on the world admitted standard of estimation prices in real estate market, we conclude that the most probable price, i.e. mode of distribution, is correctly and uniquely determined under the Log Normal approximation. Since the mean value of a Log Normal distribution exceeds the mode -- most probable value, it follows that the prices valued by the mathematical expectation are systematically overstated.
本文构造了一个房地产定价的随机模型。定价构建的方法是基于供应价格的顺序比较。证明了在对比较系数施加标准假设的情况下,分布存在唯一的非退化极限,该极限符合对数正态分布规律。通过对俄罗斯圣彼得堡房地产价格的大量统计数据,验证了价格的经验分布与理论得到的对数正态分布之间的一致性。为了建立这种一致性,我们基本上应用了Kolmogorov-Smirnov的有效和灵敏的拟合检验。根据世界公认的房地产市场价格估计标准,我们得出了在对数正态近似下,最可能的价格即分布模式是正确且唯一确定的。由于对数正态分布的平均值超过了最可能的模态值,因此,由数学期望确定的价格被系统地高估了。
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引用次数: 5
A Duplicate Code Checking Algorithm for the Programming Experiment 一种用于编程实验的重复代码检查算法
Haoxin Wang, Jingdong Zhong, Defu Zhang
Recent years have witnessed a growing-number of plagiarism in the IT circle with the fast-developing Internet technology and an industry of software piracy is also simmering beneath the surface. There is no doubt that the plagiarists' behaviors belong to intellectual property infringement. So bad is the consequence that the plagiarism identification is drawing more and more attention from the public nowadays. Based on the longest common subsequence seeking algorithm, this paper develops a dynamic programming to solve the duplicate code checking problem and puts forward a new method to measure the program code similarity. Compared with other state-of-the-art LCS solutions, the proposed algorithm has higher efficiency and lower time complexity in most experimental cases.
近年来,随着互联网技术的快速发展,IT界的剽窃现象越来越多,软件盗版行业也在潜滋暗长。毫无疑问,抄袭者的行为属于知识产权侵权。如此糟糕的后果是,剽窃鉴定现在越来越受到公众的关注。在最长公共子序列搜索算法的基础上,提出了一种动态规划方法来解决程序代码重复检查问题,并提出了一种新的程序代码相似度度量方法。与现有的LCS算法相比,该算法在大多数实验情况下具有更高的效率和更低的时间复杂度。
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引用次数: 2
A Method of Effective Background Estimation for Video Sequences with Dense Moving Objects 具有密集运动目标的视频序列的有效背景估计方法
Hui Zhu, N. Mastorakis, X. Zhuang
A method is proposed to estimate the background in video sequences with dense moving objects. The velocity field is estimated by optical flow to determine the image areas occupied by moving objects. The background is estimated by an efficient averaging process within the regions excluding the moving objects, which overcomes the foreground-occluding problem in common averaging method in a dynamic environment such as heavy traffic. The experimental results on traffic surveillance videos prove the effectiveness of the proposed method.
提出了一种具有密集运动目标的视频序列背景估计方法。通过光流估计速度场来确定运动物体所占的图像面积。在排除运动目标的区域内,通过有效的平均处理来估计背景,克服了常规平均方法在繁忙交通等动态环境下对前景遮挡的问题。在交通监控视频上的实验结果证明了该方法的有效性。
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引用次数: 1
Multivariate Chaotic Time Series Prediction Using a Wavelet Diagonal Echo State Network 基于小波对角回波状态网络的多变量混沌时间序列预测
Meiling Xu, Min Han, Jun Wang
Echo state networks have become increasingly popular for its superior performance in the field of time series prediction. However, it is difficult to implement the complicated ESN topologies in practice. To solve the problem, we propose a diagonal connected reservoir structure with composite functions inside the nodes. The input is first processed by wavelet functions and then passes through sigmoid activation functions. This increases the diversity of the reservoir. A selection method that takes into account the domain of the input data is applied to initialize the wavelet translation and dilation parameters. The output weights are efficiently computed by the least square method after the reservoir state matrix is formed. We exhibit the merits of our model on a benchmark multivariate chaotic dataset and a real-world application. Experimental results substantiate that the proposed model can achieve significantly good performance with a low-dimensional reservoir.
回声状态网络以其优越的性能在时间序列预测领域得到越来越广泛的应用。然而,复杂的ESN拓扑结构在实际应用中难以实现。为了解决这一问题,我们提出了一个在节点内部具有复合功能的对角连接的储层结构。输入首先通过小波函数处理,然后通过s型激活函数。这增加了水库的多样性。采用一种考虑输入数据域的选择方法来初始化小波平移和膨胀参数。建立储层状态矩阵后,利用最小二乘法有效地计算出输出权值。我们在一个基准的多元混沌数据集和一个实际应用中展示了我们模型的优点。实验结果表明,该模型在低维储层中具有较好的性能。
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引用次数: 2
Energen System for Power Supply of Passive House: Case Study 被动式房屋供电能源系统:案例研究
Gheorghe Badea, R. Felseghi, Ioan Așchilean, A. Bolboaca, D. Muresan, T. Șoimoșan, I. Ştefănescu, S. Răboaca
This paper aims to present partial results of a large study regarding the alternative energen solutions (sun, wind, hydrogen) for power supply of passive house placed on Cluj-Napoca, Romania. Five scenarios for different combinations were optimized and analyzed of hybrid energy system. The best energy and environmental performances are achieved by hydrogen technology and fuel cell, also the use of hydrogen energy is more efficient and less expensive then primary renewable energy seasonal storage by batteries.
本文旨在介绍一项大型研究的部分结果,该研究涉及罗马尼亚克卢日纳波卡被动式房屋的替代能源解决方案(太阳能、风能、氢气)。对混合能源系统的5种不同组合方案进行了优化分析。氢能技术和燃料电池实现了最佳的能源和环境性能,氢能的使用比电池的主要可再生能源季节性储存更高效、更便宜。
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引用次数: 10
Theoretical Study of Thermal Performance of Rock Bed Storage 岩床储热性能的理论研究
Suad H. Danok, E. F. Abbas, M. M. Weis
In this theoretical study, heat transfer and pressure drop in two cases of rock bed thermal storage has been studied, in the first case the equivalent diameter is changed when the mass flow rate per unit area is constant, and in the second case is inversely. The unsteady numerical simulation is employed to analyze the performance of the heat flow and temperature field in the storage. While the best thermal storage is obtain at equivalent diameter is (0.01) m. and show that the relation of pressure drop is decrease with increase in equivalent diameter except in a range of (0.025 to 0.038) m is constant.
在理论研究中,研究了两种情况下的岩床储热传热和压降,第一种情况是单位面积质量流量恒定时当量直径的变化,第二种情况是相反的。采用非定常数值模拟方法分析了储存库内的热流和温度场特性。在(0.025 ~ 0.038)m范围内,压降随当量直径的增大而减小,而当量直径为(0.01)m时储热效果最佳。
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引用次数: 2
期刊
2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)
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