Thursday 28 February 2008

INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES www.naun.org


 INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
 
Editorial Board
  • Valeri Mladenov(Bulgaria)
     

  • Nikos Mastorakis (Greece)
     

  • Zoran Bojkovic (Serbia)
     

  • Lotfi Zadeh (USA)
     

  • Leonid Kazovsky (USA)
     

  • Leon Chua (USA)
     

  • Panos Pardalos (USA)
     

  • Irwin Sandberg (USA)
     

  • Metin Demiralp (Turkey)
     

  • Petr Ekel (Brazil)


     

ISSN: 1998-0140

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    Paper Title, Authors, Abstract (Issue 1, Volume 1, 2007)

Pages

Analysis of Dynamic Characteristics of a Minimal-Time Circuit Optimization Process
A. M. Zemliak

Abstract: The design process for analog network design is formulated as a dynamic controllable system. A special control vector is defined to redistribute the compute expensive between a network analysis and a parametric optimization. This redistribution permits the minimization of a computer time. The problem of the minimal-time network design can be formulated in this case as a classical problem of the optimal control for some functional minimization. This approach generalizes the design problem and generates an infinite number of the different design strategies inside the same optimization procedure. By this methodology the aim of the system design process with minimal computer time is presented as a transition process of a dynamic system that has the minimal transition time. The conception of the Lyapunov function of dynamic controllable system is used to analyze the principal characteristics of the design process. The different forms of the Lyapunov function were proposed to analyze the behavior of a design process. The special function that is a combination of the Lyapunov function and its time derivative was proposed to compare the different design strategies and to predict the strategy with the minimal computer design time.
 

1-10

Limit Temperatures, Spinodal Decomposition and Isospin in Heavy Ion Collisions
Armando Barranon, Jorge Alberto Lopez Gallardo

Abstract: Spinodal decomposition signatures have been used to obtain limit temperatures for several Heavy Ion collisions. Meanwhile isospin changes, these transient temperatures remain approximately constant with a fluctuation of about 1 MeV and in the range of 10MeV. Also, a primitive breakup with equal sized fragments of a privileged fragment size equal to 6 and an excitation of 4.75MeV were found using higher order charge  correlations. These transient temperatures are in the range of theoretical and experimental studies reported elsewhere and confirm the role of spinodal decomposition in the critical behavior of nuclear matter.
 

11-15

Latin language and new educational technologies
P. Camastra, P. Fedeli, M.R. Grattagliano

Abstract: This paper presents a project on revival of the Latin language study in Europe. The complete methodological and didactical renewal of a basic Course of Latin is addressed, through new e-learning technologies and methods promoted by the Interfaculty Centre ?Rete Puglia? in the University of Bari. The obtained results in terms of experimentation benefits are presented.
 

16-21

Computationally Efficient Analytical Crosstalk Noise Model in RC Interconnects
P.Chandrasekhar and Rameshwar Rao

Abstract: This paper presents an accurate, fast and simple closed form solution toestimate crosstalk noise between two adjacent wires, using RC interconnect model in two situations: simple resistance as driver and short channel CMOS inverter as a driver. The salient features of our proposed models include minimization of computational overhead, elimination of adjustment step to predict the peak amplitude and pulse width of the noise waveform. Numerical calculations are compared with SPICE simulation and other metrics by plotting the noise voltage verses time. Based on our proposed models, we derive analytical delay models due to RC interconnect in each case. Finally we formulate energy dissipation of the RC coupled interconnects in both the cases using our proposed metrics. Experimental results indicate that our models are closely comparable.
 

22-32

A Deflected Grid-based Algorithm for Clustering Analysis
Nancy P. Lin, Chung-I Chang, Nien-Yi Jan, Hung-Jen Chen, Wei-Hua Hao

Abstract: The grid-based clustering algorithm, which partitions the data space into a finite number of cells to form a grid structure and then performs all clustering operations on this obtained grid structure, is an efficient clustering algorithm, but its effect is seriously influenced by the size of the cells. To cluster efficiently and simultaneously, to reduce the influences of the size of the cells, a new grid-based clustering algorithm, called DGD, is proposed in this paper. The main idea of DGD algorithm is to deflect the original grid structure in each dimension of the data space after the clusters generated from this original structure have been obtained. The deflected grid structure can be considered a dynamic adjustment of the size of the original cells, and thus, the clusters generated from this deflected grid structure can be used to revise the originally obtained clusters. The experimental results verify that, indeed, the effect of DGD algorithm is less influenced by the size of the cells than other grid-based ones.
 

33-39

        Paper Title, Authors, Abstract (Issue 2, Volume 1, 2007)

Pages

About an adapted image compression algorithm for surveillance flying systems
Ciprian Racuciu, Nicolae Jula, Florin-Marius Pop

Abstract: Flying surveillance systems have become a priority in every modern army. The prove is the investments involved that are growing every year. A special category is the small systems known as UAV (Unmanned Air Vehicle) that embed only the highest technology because of the dimension limits imposed. The goal of this paper is to present an image compression module and its algorithm based on Discrete Cosines Transform that can be used on a UAV for a real-time transmission of the images captured to the ground. This paper focuses on low complexity techniques used in image compression that are combined to develop a full image compression algorithm that use low resources but with high compression ratio, flexibility for developing further options or characteristics and a medium quality. All the parameters can be changed for different requirements.
 

41-45

Application of the Hotelling?s and F statistical for the determination of defects in the dental enamel
Cortez Jose Italo, Gonzalez Flores Marcos, Perea Gonzalez Gloria Patricia, Vega Galina Victor Javier, Cortez Liliana, Cortez Ernest Italovich.

Abstract: The present work presents the experiment that was made to verify and to corroborate the physical changes in the dental enamel. The data were obtained in voltage terms in four stages: without treatment, dental paste, acid engraver and adhesive. The covariance matrices of the samples were then compared with each other to obtain an estimation of every pair of matrices. The inverse estimated matrix was obtained, and finally the Hottelling's statistical was calculated for the multivaried case. We show that the selected treatments have differences in their averages. This allows us to conclude that there are physical changes in the dental enamel.
 

46-54

Influence of Water Scale on Thermal Flow Losses of Domestic Appliances
D. Dobersek, D. Goricanec

Abstract: Research results of how the precipitated water scale on heaters of small domestic appliances influences the consumption of electricity are presented. It shows that the majority of water scale samples are composed of aragonite, calcite and dolomite and that those components have an extraordinary low thermal conductivity. Also, the results show that at 2 mm thick deposit, depending on the chemical composition of water scale, the thermal flow is reduced for 10% to 40%; consequently, the consumption of electricity
significantly increases.
 

55-61

Simulation of Multi-product Pipelines
Drago Matko, Sa?so Bla?zi?c, and Gerhard Geiger

Abstract: The problem of modeling and simulating pipelines that are used for transporting different fluids is addressed in the paper. The problem is solved by including fluid density in the model beside pressure and velocity of the medium. First, the system of nonlinear partial differential equations is derived. Then, the obtained model is linearised and transformed into the transfer function form with three inputs and three outputs.
Admittance form of model description is presented in the paper. Since the transfer function is transcendent, it cannot be simulated using classical tools. Rational transfer function approximation of the model were used and validated on the real industrial pipeline. It was also compared to the model that does not take the changes in fluid density into account. The latter model cannot cope with batch changes whereas the proposed one can.
 

62-69

Comparison of regression models based on nonparametric estimation techniques: Prediction of GDP in Turkey
Dursun Ayd?n

Abstract: In this study, it has been discussed the comparision of nonparametric models based on prediction of GDP (Domestic Product) per capita prediction in Turkey. It has been considered two alternative situations due to seasonal effects. In the first case, it is discussed a semi-parametric model where parametric component is dummy variable for the seasonality. Smoothing spline and regression spline methods have been used for prediction of the semi-parametric models. In the second case, it is considered the seasonal component to be a smooth function of time, and therefore, the model falls within the class of additive models. The results obtained by semiparametric regression models are compared to those obtained by additive nonparametric.
 

70-75

Semiautomatic generation of database in finite element programs
Daniela P. Cârstea

Abstract: A pre-processor for the generation of the mesh 2D in a CAD product based on the finite element method (FEM) is presented. Our software product is based on the multiblock method and is implemented in C language. A friendly interface user-program is included and some communication languages are available in the communication protocol. In our software product the database consists in a set of files (text or binary files). These files contain both geometrical data of the elements and physical properties (field sources, material properties, boundary conditions etc). The database can be used by well known software products for graphics processing and post processing stages of a finite element program. We present some aspects of parallel implementation of the preprocessor. In our approach a coarse mesh is generated as the starting point of the parallel mesh generation. The domain to be meshed is decomposed into a number of sub-domains. This decomposition is guided by physical considerations.
 

76-80

Intelligent processes for defect identification
Edson Pacheco Paladini

Abstract: This paper describes a knowledge-based system and other classical artificial intelligent techniques developed to identify imperfections or defects in industrial products. The defects we are studying used to appear on the piece external area (like spots, fractures, scratches, dark or white lines). The application of the system has been developed in wall or floor tiles factories and it has been showing itself adequate to its finality, as show its application results. The system works, basically, with codified information from the wall or floor tile faces. The piece of information is accessed by special devices which pick up the image and transform it in an array of numbers and codes. Therefore, the system behavior can be defined by these information pieces. Initially the system detects the existence of imperfections using a first group of computational programs; after that, s second group of programs defines the gravity level of each detected defect (for instance: if it implies to reject the piece). Finally, a third group of programs (the identification system) informs to its users what is the most probable kind of imperfection detected (defect identification). We show here the general ideas of the identification system and the structure and some results, what can be seen as a useful and interesting application of knowledge-based systems to quality control area.
 

81-88

Semiautomatic generation of database in finite element programs
Daniela P. Cârstea

Abstract: A pre-processor for the generation of the mesh 2D in a CAD product based on the finite element method (FEM) is presented. Our software product is based on the multiblock method and is implemented in C language. A friendly interface user-program is included and some communication languages are available in the communication protocol. In our software product the database consists in a set of files (text or binary files). These files contain both geometrical data of the elements and physical properties (field sources, material properties, boundary conditions etc). The database can be used by well known software products for graphics processing and post processing stages of a finite element program. We present some aspects of parallel implementation of the preprocessor. In our approach a coarse mesh is generated as the starting point of the parallel mesh generation. The domain to be meshed is decomposed into a number of sub-domains. This decomposition is guided by physical considerations.

89-93

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