International Journal of Applied Mathematics and Computer Science (INT J AP MAT COM-POL)

Publisher: Uniwersytet Zielonogórski; Lubuskie Towarzystwo Naukowe

Journal description

The International Journal of Applied Mathematics and Computer Science is a quarterly published jointly by the University of Zielona óra and the Lubuskie Scientific Society in Zielona óra, Poland, since 1991. The Journal strives to meet the demand for the presentation of interdisciplinary research concerned with applications of mathematical methods to computer science and engineering. It publishes high quality original research results in the following areas: mathematical methods in computer science and engineering; modern control theory and applications; artificial intelligence techniques; applied mathematics and mathematical optimization techniques.

Current impact factor: 1.39

Impact Factor Rankings

2015 Impact Factor Available summer 2015
2013 / 2014 Impact Factor 1.39
2012 Impact Factor 1.008
2011 Impact Factor 0.487
2010 Impact Factor 0.794
2009 Impact Factor 0.684

Impact factor over time

Impact factor
Year

Additional details

5-year impact 1.15
Cited half-life 5.10
Immediacy index 0.17
Eigenfactor 0.00
Article influence 0.26
Website International Journal of Applied Mathematics and Computer Science (AMCS) website
Other titles International journal of applied mathematics and computer science (Online)
ISSN 1641-876X
OCLC 54678624
Material type Document, Periodical, Internet resource
Document type Internet Resource, Computer File, Journal / Magazine / Newspaper

Publications in this journal

  • International Journal of Applied Mathematics and Computer Science 06/2015; 25(2):259-267.
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    ABSTRACT: In this paper, integral sliding mode control ideas are combined with direct control allocation in order to create a fault tolerant control scheme. Traditional integral sliding mode control can directly handle actuator faults; however, it cannot do so with actuator failures. Therefore, a mechanism needs to be adopted to distribute the control effort amongst the remaining functioning actuators in cases of faults or failures, so that an acceptable level of closed-loop performance can be retained. This paper considers the possibility of introducing fault tolerance even if fault or failure information is not provided to the control strategy. To demonstrate the efficacy of the proposed scheme, a high fidelity nonlinear model of a large civil aircraft is considered in the simulations in the presence of wind, gusts and sensor noise.
    International Journal of Applied Mathematics and Computer Science 01/2015; 25(1):93-102. DOI:10.1515/amcs-2015-0007
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    ABSTRACT: The paper deals with cost effective compensator placement and sizing. It becomes one of the most important problems in contemporary electrical networks, in which voltage and current waveform distortions increase year-by-year reaching or even exceeding limit values. The suppression of distortions could be carried out by means of three types of compensators, i.e., passive filters, active power filters and hybrid filters. So far, passive filters have been more popular mainly because of economic reasons, but active and hybrid filters have some advantages which should cause their wider application in the near future. Active power filter placement and sizing could be regarded as an optimization problem. A few objective functions have been proposed for this problem. In this paper we compare solutions obtained by means of combinatorial and genetic approaches. The theoretical discussion is followed by examples of active power filter placement and sizing. Full text: https://www.amcs.uz.zgora.pl/?action=paper&paper=823
    International Journal of Applied Mathematics and Computer Science 01/2015; 25(2):269-279. DOI:10.1515/amcs-2015-0021
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    ABSTRACT: Over a century of research resulted in a set of more than a hundred binary association measures. Many of them share similar properties. An overview of binary association measures is presented, focused on their order equivalences. Association measures are grouped according to their relations. Transformations between these measures are shown, both formally and visually. A generalization coefficient is proposed, based on joint probability and marginal probabilities. Association measure combination is one of recent trends in computer science. Measures are combined in linear and non-linear discrimination models, automated feature selection or construction. Knowledge about their relations is particularly important to avoid problems of meaningless results, zeroed generalized variances, curse of dimensionality or simply to save time.
    International Journal of Applied Mathematics and Computer Science 01/2015; 25(3).
  • International Journal of Applied Mathematics and Computer Science 01/2015; 25(2):259-267. DOI:10.1515/amcs-2015-0020
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    ABSTRACT: The object of heuristic algorithms is to produce an optimum solution for solving a problem. When the number of variables in the problem is high the Heuristic Algorithms are used. In this article the goal is to find an optimum layout for JK Flip Flop for minimizing the average power. There are twenty MOSFETs with different channel widths. They make a twenty dimensional search space which are independent decision variables. Motivated by the convergence of Ant Colony Optimization in real domain (ACOR) and Genetic Algorithm (GA) and the link of MATLAB with HSPICE Software the optimized layout of JK Flip Flop is obtained. Based on ACOR, Fuzzy-ACOR, GA, Fuzzy-GA algorithms the best resulting JK Flip Flop layout in CMOS Technology with supply voltage of 5v has the average power consumption of 1.6 nW with Fuzzy-ACOR.
    International Journal of Applied Mathematics and Computer Science 11/2014; 14(1):Page : 1-15.
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    ABSTRACT: Modeling and performance prediction are becoming increasingly important issues in the design and operation of computer communications systems. In this paper a review is carried out on how Tandem queuing models with Dynamic Bandwidth Allocation have been applied so far into the performance evaluation of Communication Networks. Queuing network models with finite/infinite capacity buffers and blocking have been applied as more realistic models of systems with finite capacity resources. First we review basic properties of exponential queuing systems, and then give an overview of recent progress made in the areas of dynamic bandwidth allocation for tandem queuing network models and performance measures.
    International Journal of Applied Mathematics and Computer Science 10/2014; 18(8):13-19.
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    ABSTRACT: An acquaintance network is a social structure made up of a set of actors and the ties between them. These ties change dynamically as a consequence of incessant interactions between the actors. In this paper we introduce a social network model called the Interaction-Based (IB) model that involves well-known sociological principles. The connections between the actors and the strength of the connections are influenced by the continuous positive and negative interactions between the actors and, vice versa, the future interactions are more likely to happen between the actors that are connected with stronger ties. The model is also inspired by the social behavior of animal species, particularly that of ants in their colony. A model evaluation showed that the IB model turned out to be sparse. The model has a small diameter and an average path length that grows in proportion to the logarithm of the number of vertices. The clustering coefficient is relatively high, and its value stabilizes in larger networks. The degree distributions are slightly right-skewed. In the mature phase of the IB model, i.e., when the number of edges does not change significantly, most of the network properties do not change significantly either. The IB model was found to be the best of all the compared models in simulating the e-mail URV (University Rovira i Virgili of Tarragona) network because the properties of the IB model more closely matched those of the e-mail URV network than the other models.
    International Journal of Applied Mathematics and Computer Science 09/2014; 24(3):683-696. DOI:10.2478/amcs-2014-0050