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Enhanced Stochastic Methodology for Combined Architecture of E-Commerce and Security Networks
Song-Kyoo Kim
Mathematical Problems in Engineering , 2009, DOI: 10.1155/2009/691680
Abstract: This paper deals with network architecture which is a combination of electronic commerce and security systems in the typical Internet ecosystems. The e-commerce model that is typically known as online shopping can be considered as a multichannel queueing system. In the other hand, stochastic security system is designed for improving the reliability and availability of the e-commerce system. The security system in this paper deals with a complex system that consists of main unreliable servers, backups, and repair facilities to repair the broken servers. The results are applied for analyzing the current Internet ecosystem, and the mathematical methods can be also applied to the various areas such as human resources, manufacturing processes, and military operations. The solution presents the analytical solutions of the combined architecture of two queueing systems, and these tractable results are used for demonstration in the framework of optimization problems.
ARCHITECTURE AND ALGORITHMIC SUPPORT OF INTELLECTUAL CONTROL SYSTEM OF PUBLIC TRANSPORTATION Архитектура и алгоритмическое обеспечение интеллектуальной системы управления движением общественного транспорта
Kriger L. S.
Polythematic Online Scientific Journal of Kuban State Agrarian University , 2013,
Abstract: The questions of development and use of intellectual systems for traffic control of public transport are considered in the article. The architecture of intellectual management system and its algorithmic support is also described
Algorithmic randomness and stochastic selection function  [PDF]
Hayato Takahashi
Mathematics , 2012,
Abstract: We show algorithmic randomness versions of the two classical theorems on subsequences of normal numbers. One is Kamae-Weiss theorem (Kamae 1973) on normal numbers, which characterize the selection function that preserves normal numbers. Another one is the Steinhaus (1922) theorem on normal numbers, which characterize the normality from their subsequences. In van Lambalgen (1987), an algorithmic analogy to Kamae-Weiss theorem is conjectured in terms of algorithmic randomness and complexity. In this paper we consider two types of algorithmic random sequence; one is ML-random sequences and the other one is the set of sequences that have maximal complexity rate. Then we show algorithmic randomness versions of corresponding theorems to the above classical results.
Algorithmic Solution of Stochastic Differential Equations  [PDF]
Henri Schurz
Algorithms , 2010, DOI: 10.3390/a3030216
Abstract: This brief note presents an algorithm to solve ordinary stochastic differential equations (SDEs). The algorithm is based on the joint solution of a system of two partial differential equations and provides strong solutions for finite-dimensional systems of SDEs driven by standard Wiener processes and with adapted initial data. Several examples illustrate its use.
Synthesis of structure and algorithmic support of stochastic object management  [PDF]
Belous Irina Gennadievna,Krushel Elena Georgievna
Vestnik Astrahanskogo Gosudarstvennogo Tehni?eskogo Universiteta. Seria: Upravlenie, Vy?islitel?naa Tehnika i Informatika , 2010,
Abstract: Features, common for objects with the stochastic manner of operation, are described in the paper. The results are illustrated in order to give an example of objects of the considered class – a ball mill with dry cement grinding. The known approaches to the stochastic processes control are overviewed, and their advantages and deficiencies are mentioned. The modification of linear-quadratic-Gaussian (LQG) theory results is offered to be applied in the control loop. The modification is taking into account physical requirements to the calcu-lation values of control actions by means of the application of limits to the range of their possible values. The Kalman filter modification is offered to be applied in the filter loop. It is based on the bias between the object output and the target values. The estimation technique of the proposed sub-optimal algorithms effi-ciency is developed. All the results, received during the research, are shown. The results prove the assumption about the efficiency of the offered variant of the algorithmic support.
Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations  [PDF]
Subhrajit Roy,Amitava Banerjee,Arindam Basu
Computer Science , 2014, DOI: 10.1109/TBCAS.2014.2362969
Abstract: In this paper, we describe a new neuro-inspired, hardware-friendly readout stage for the liquid state machine (LSM), a popular model for reservoir computing. Compared to the parallel perceptron architecture trained by the p-delta algorithm, which is the state of the art in terms of performance of readout stages, our readout architecture and learning algorithm can attain better performance with significantly less synaptic resources making it attractive for VLSI implementation. Inspired by the nonlinear properties of dendrites in biological neurons, our readout stage incorporates neurons having multiple dendrites with a lumped nonlinearity. The number of synaptic connections on each branch is significantly lower than the total number of connections from the liquid neurons and the learning algorithm tries to find the best 'combination' of input connections on each branch to reduce the error. Hence, the learning involves network rewiring (NRW) of the readout network similar to structural plasticity observed in its biological counterparts. We show that compared to a single perceptron using analog weights, this architecture for the readout can attain, even by using the same number of binary valued synapses, up to 3.3 times less error for a two-class spike train classification problem and 2.4 times less error for an input rate approximation task. Even with 60 times larger synapses, a group of 60 parallel perceptrons cannot attain the performance of the proposed dendritically enhanced readout. An additional advantage of this method for hardware implementations is that the 'choice' of connectivity can be easily implemented exploiting address event representation (AER) protocols commonly used in current neuromorphic systems where the connection matrix is stored in memory. Also, due to the use of binary synapses, our proposed method is more robust against statistical variations.
High Speed Digital Oscillator Implementations Based on Advanced Arithmetic and Architecture Techniques  [PDF]
Ali Shatnawi, Mufleh Shatnawi
Circuits and Systems (CS) , 2013, DOI: 10.4236/cs.2013.43034
Abstract: The advances of digital arithmetic techniques permit computer designers to implement high speed application specific chips. The currently produced digital circuits have demonstrated high performance in terms of several criteria, such as, high clock rate, short input/output delay, small silicon area, and low power dissipation. In this paper, we implement several sinusoidal generation methods to optimize their performance and output using advanced digital arithmetic techniques. In this paper, the implementations of advanced digital oscillator structures with and without pipelining are proposed. The synthesis results of the implementation with pipelining have proven that it is superior to other sinusoidal generation methods in terms of the maximum frequency and signal resolution. Hence, this method is used in the design of the proposed digital oscillator chip.
Enhanced stochastic oscillations in autocatalytic reactions  [PDF]
Thierry Dauxois,Francesca Di Patti,Duccio Fanelli,Alan McKane
Physics , 2008, DOI: 10.1103/PhysRevE.79.036112
Abstract: We study a simplified scheme of $k$ coupled autocatalytic reactions, previously introduced by Togashi and Kaneko. The role of stochastic fluctuations is elucidated through the use of the van Kampen system-size expansion and the results compared with direct stochastic simulations. Regular temporal oscillations are predicted to occur for the concentration of the various chemical constituents, with an enhanced amplitude resulting from a resonance which is induced by the intrinsic graininess of the system. The associated power spectra are determined and have a different form depending on the number of chemical constituents, $k$. We make detailed comparisons in the two cases $k=4$ and $k=8$. Agreement between the theoretical and numerical results for the power spectrum are good in both cases. The resulting spectrum is especially interesting in the $k=8$ system, since it has two peaks, which the system-size expansion is still able to reproduce accurately.
Array enhanced stochastic resonance and spatially correlated noises  [PDF]
P. F. Gora
Physics , 2003,
Abstract: We discuss the role of spatial correlations of the noise in the array enhanced stochastic resonance. We show numerically that the noises with negative correlations between different sites lead to significantly larger values of the signal-to-noise ratio than the uncorrelated noises or noises with positive correlations. If the noise is global, the system displays only the conventional stochastic resonance, without any array enhancement.
Improvement in Quality of Software Architecture via Enhanced-Pattern Driven Architecture (EPDA)  [cached]
Muhammad Fahad Khan,Kanwal Yousaf,Anam Mustaqeem,Muazaam Maqsood
International Journal of Information Technology and Computer Science , 2012,
Abstract: No doubt software plays an important role in improvement of our lives. Great demand of software makes software architecture more complex. Flaws in any software have direct impact on diverse fields of life (such as business, science, engineering etc). The main reason of any software failure is due to poor software architecture or quality attributes. This paper focuses on factors that affect the quality of software architectures and highlighted the major reason of the defects through questionnaire and survey. In the light of this survey a technique is proposed to improve the quality of any software architecture. The proposed architecture is Enhanced-Pattern driven architecture (EPDA). This architecture focuses on the improvement of design phase in any architecture. This will also help in resolving lots of problems which arise due to usage of different traditional architectural styles.
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