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With the increase of processor-memory performance gap, it has become important to gauge the performance of cache architectures so as to evaluate their impact on energy requirement and throughput of the system. Multilevel caches are found to be increasingly prevalent in the high-end processors. Additionally, the recent drive towards multicore systems has necessitated the use of multilevel cache hierarchies...
In this paper, three different muscle models have been investigated. The first model named Ferrarin's muscle model is a transfer function between electrical stimulation and the resultant knee torque. The other two muscles, are physiologically based models (Riener's muscle model and Virtual Muscle). Riener's muscle is modelled in this paper by using Matlab/Simulink, while Virtual Muscle model has been...
The Greenberg-Hastings cellular automaton can be used to create feature-rich profiles of the complex waveform data caused by turbulent blood-flow in an occluded carotid artery if it is combined with recent work in differential calculus and approximation theory relating to boolean functions. We show how to undertake the derivation of a Maclaurin power series representation of the Greenberg-Hastings...
The increase on the demand of IT resources diverted enterprises to the use of costly physical servers. However, besides cooling and power cost, most of the times, physical servers are poorly utilized. Server virtualization is a way of better utilizing such resources and reducing power consumption. In this paper, a performance model for two virtual servers implemented on a single physical machine is...
This paper describes such extension of known DB(n) control algorithm which improve behaviour quality of control processes with time delay, This extension, called eDBd algorithm, was derived by author. It can function even if controller output is limited. The synthesis was derived for control loop with proportional third order behaviour of controlled plant. The algorithm can be generalized for controlled...
A digital system design framework, based on fuzzy logic controllers and virtual instrumentation, are the main issues presented in this article. An algorithm oriented for real time applications is the core of the fuzzy control and its performance is evaluated in a computational (MATLAB® and LahVIEW®) platforms. The (CTBoard/NI-Elvis) hardware platform is used to implement the fuzzy position and velocity...
Fuel assemblies are very expensive parts of the nuclear reactor. Initially they were used in Hungary for 3 years, now for 4 years and soon they will stay in the core for 5 years. Each year only 1/3rd, 1/4th later 1/5th of them is replaced, therefore the change of the fuel type is a lengthy process, with mixed cores used. The authorities require that the staff should be trained to each particular core...
Cellular automata models have been extensively used for simulating pedestrian movements. One weakness of this type of models, is the size of the cells which is mostly considered to be of the size of a pedestrian (i.e. 40cm*40cm or near to it). Each pedestrian stands in a single cell and during simulation time steps, transits to neighbouring cells. The size of the cells dictates discrete speed steps...
The aim of our paper is to approximate the parameters of a generic logarithmic function that can be used to model various biological processes. We are considering the Gauss-Newton algorithm for solving the non-linear least squares problem and we are proposing a method for selecting the initial choice for the algorithm. This method proves to considerably increase the convergence probability of the...
The study of boundary layer effects has not been very satisfactory due to the difficulty in profiling and/or mapping the dependence of radio refractivity on a highly correlated set of meteorological parameters. In this paper, a linkage is established between, the earth radius factor (K) and the net radiation obtained from a meteorological data set. The method employed includes the development of a...
Accurate peak load forecasting plays a key role in economical use from energy. Artificial Neural Networks (ANN) has recently applied on short term load forecasting in electrical utilities. The ANN is used to Predicting the relationship between past, current and future peak loads. Conventional systems require various variables from the past factors that can affect on peak load such as: load and weather...
CM is the grouping of discrete multi-machines that produce part families with similar geometry or sequence of process and aims to improve manufacturing systems productivity. The methods/models used are classified into: array-based, clustering, mathematical programming based (viz., integer programming), graph theoretic, Multi-Criteria Decision-Making (MCDM) and artificial intelligence techniques. Fuzzy...
Handover is the process of maintaining session Quality of Service (QoS) while the customer is changing radio access network point of attachment. Handover due to mobility, while seamlessly maintaining service continuity and QoS is one of the 3GPP standard requirements. Handover with in 2G/3G cellular networks has been successfully and widely deployed. However, deployment of new radio technologies in...
The trapezoidal back-emf synchronous motor which is called brushless DC (BLDC) motor is receiving wide attention for industrial applications because of its high torque density, high efficiency and small size. This kind of electrical motors is a typical example of highly coupled, nonlinear systems. In the first part of this paper an intelligent agent based on Adaptive Neuro-Fuzzy Inference System (ANFIS)...
A number of Thrombectomy devices using a variety of methods have now been developed to facilitate clot removal. We present research involving one such experimental device recently developed in the UK, called a 'GP' Thrombus Aspiration Device (TAD). This device has the potential to improve the process of extracting thrombosis clots in the cerebral arteries. The development of a simulation model for...
This research, an attempt has been made to develop and simulate a process model to describe the biochemical process. Three important parameters that are desired to be controlled in the biochemical reactor are pH, dissolved oxygen (DO) and temperature. In earlier process model presented in literature, the effect of pH and DO change during process implementation is not taken into account. In this research,...
In some interesting applications in control and system theory, i.e. in engineering, in ecology (Leslie population model), in financial/actuarial (Leontief multi input - multi output) science, linear descriptor (singular) differential/difference equations with time-invariant coefficients and (non-) consistent initial conditions have been extensively used. The solution properties of those systems are...
ABSTRACT- Data allocation issue is one of the significant and essential discussions in distributed data base systems. In these systems, operators are located in different places and have to get access to a joint data base. These data have been distributed within the network. Many models have been designed in order to resolve this problem. Also, some algorithms are devised for the purpose of decreasing...
Due to uncertainties and complexities give birth to the future of emerging technologies, conventional methods for technology evaluation are subjected to many drawbacks and limitations. After combing the relevant literature to the commercial potential of emerging technologies, this paper proposes technology commercialization success to assess the commercialization potential of emerging technologies;...
Based on analyzing evolution of production models related to scientific and technical factors, as well as against not well describing quantitative relations between scientific and technical input and output of the models, the present paper has established a model simulating scientific and technological input and output with the back-propagation algorithm of artificial neural networks model, and predicted...
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