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In this paper we propose a new architecture of a smoothing filter in the RNS. The problem of computationally complex division operation performing is solved by replacing this operation by division with the remainder. This makes it possible to replace the division by subtraction and a multiplication in the RNS when using RNS modulo as a divisor. Simulation of smoothing filter hardware implementation...
With the establishment of cloud computing as the environment of choice for most modern applications, auto-scaling is an economic matter of great importance. For applications like stream computing that process ever changing amounts of data, modifying the number and configuration of resources to meet performance requirements becomes essential. Current solutions on auto-scaling are mostly rule-based...
It is well known fact that appropriate organization of furnace aerodynamics can influence burning stability. Therefore, improving aerodynamic characteristics of the furnace is a main task in elaborating the boiler construction. For this task experimental study of three-dimensional burning flame dynamics should be performed. In this work turbulent combustion of natural gas in fire-tube boiler was simulated...
VisRad (Prism Computational Sciences), a 3-D view factor code, is used to simulate the multi-dimensional radiation environment within a compact hohlraum. A new hohlraum design proposed in B. Jones, et al. [PRL, v.104, 125001, (2010)] incorporates multiple compact (mm-scale) planar wire array (PWA) x-ray sources that surround a target in the center of the hohlraum cavity, allowing a reduction of hohlraum...
The plasma opening switch (POS) is a pulsed-power switching technology that has been developed for inductive-energy-storage applications.[1] During the conduction phase of the POS, the discharge current initially flows in a plasma that is injected between the anode and cathode prior to the arrival of the main pulse. Lorentz forces act on the current-carrying plasma to distort the plasma distribution...
The paper describes the new tools for dynamic display of the computational process for modeling a dataflow parallel computing system that implements non-traditional architecture. These tools allow evaluating the effectiveness of program and localization functions during the task.
Modern software systems expose management metrics to help track their health. Recently, it was demonstrated that correlations among these metrics allow errors to be detected and their causes localized. Prior research shows that linear models can capture many of these correlations. However, our research shows that several factors may prevent linear models from accurately describing correlations, even...
Due to increasingly demanding requirements for business flexibility and agility, automation of end-to-end industrial processes has become an important topic. Business process execution needs to support automated tasks execution as well as human tasks. The topic of this doctoral work is to enable a higher degree of automation of business processes in service-oriented systems. The doctoral work shows...
E-health makes use of information and communication methods and the latest e-research tools to support the understanding of body functions. E-scientists in this field take already advantage of one single infrastructure to perform computationally-intensive investigations of the human body that tend to consider each of the constituent parts separately without taking into account the multiple important...
We consider traffic models for the evaluation of buffer-constrained routers, such as routers with all-optical data paths. We show that conventional models may substantially underestimate the packet loss behavior. We propose an alternative method based on the multi-fractal wavelet model (MWM). Using this new model, we show that routers are susceptible to high losses under bursty Internet traffic conditions...
This paper presents an artificial neural network based tool that locates an ordered set of words in a text. The network model is essentially a single layer network similar to Hopfield model that uses a Hebbian approach to activate the feature layer nodes (see section 2). This model was initially developed to go with our Connectionist Associative Memory Model (CAMM) and later found to be useful in...
This paper evaluate and estimate the monitoring of the network traffic based on queuing theory in heterogeneous environment the monitoring of network traffic is necessary for evaluating of efficiency and confidence from constant operations of network which we discuss the performance and prediction of network traffic management and will give a suggestion for control the performance of work traffic...
We consider the multi-class classification problem, based on vector observation sequences, where the conditional (given class observations) probability distributions for each class as well as the unconditional probability distribution of the observations are unknown. We develop a novel formulation that combines training with the quality of classification that can be obtained using the 'learned' (via...
Applying high level parallel runtimes to data/compute intensive applications is becoming increasingly common. The simplicity of the MapReduce programming model and the availability of open source MapReduce runtimes such as Hadoop, are attracting more users to the MapReduce programming model. Microsoft has released DryadLINQ for academic use, allowing users to experience a new programming model and...
Genetic Regulatory System (GRS) and Deoxy-ribonucleic Acid (DNA) are two important matters in the development and functioning of organisms. GRS is a mechanism for determining when, where, in what form and to which extent a gene or genes will be expressed, while DNA is the essential part of a gene. In this paper we address the utilization of Multiagent Collaborative Computation (MCC) to model the genes'...
Non-functional requirements like performance and reliability play a prominent role in distributed and dynamic systems. To measure and predict such properties using stochastic formal methods is crucial. At the same time, graph transformation systems are a suitable formalism to formally model distributed and dynamic systems. Already, to address these two issues, Stochastic Graph Transformation Systems...
Sketch-Based Interfaces are becoming a popular interaction style for many applications. The interaction style tries to recreate the experience of sketching that is similar to real paper and pencil drawings.They are being used to accomplish tasks related to geometric modeling, animation, architecture, design, music, and learning, among others. In this work we evaluate and compare two interaction approaches,...
This paper presents the OOTN - ontology for optical transport networks: a computational ontology proposal for optical transport networks based on the ITU-T G.805 and G.872 recommendations. It shows the most relevant issues found during the modeling process and presents a case study where the classical concepts of VTD and RWA applications have been mapped to OOTN.
Tinnitus is a condition in which sounds heard in the ear or head without any external sound. There are many therapeutic approaches for tinnitus and sound therapy is one of the techniques for its treatment that have been proposed. In order to investigate mechanisms of tinnitus generation and the clinical effects of sound therapy from the viewpoint of neural engineering, we have proposed computational...
We consider the following fundamental problem: given a matrix that is the sum of an unknown sparse matrix and an unknown low-rank matrix, is it possible to exactly recover the two components? Such a capability enables a considerable number of applications, but the goal is both ill-posed and NP-hard in general. In this paper we develop (a) a new uncertainty principle for matrices, and (b) a simple...
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