<abstract xmlns="http://www.w3.org/1999/xhtml">Accurate and reliable air passenger demand is very important for policy-making and planning by tourism management as well as by airline authorities. Therefore, this article proposed a novel hybrid method based on rough set theory (RST) to construct decision rules for long-term forecasting of air passengers. Level (mean) and trend components are first estimated from the air passengers time series data using DES model in the formulation of the proposed hybrid method. Then the rough set theory is employed to combine the output of DES model and generated decision rules is used to forecasting air passengers. We compare the proposed approach with other time series models using a corrected classified accuracy (CCA) criterion. For the empirical analysis, yearly air transport passenger from 1992 to 2004 is used. Empirical results show that the proposed method is highly accurate with the higher corrected classified accuracy. Also, forecasting accuracy of the proposed method is better than the other time series approaches.</abstract>

Department of Mathematics, National Institute of Technology

Air passengers forecasting for Australian airline based on hybrid rough set approach

<abstract xmlns="http://www.w3.org/1999/xhtml">The article is focused on the unstability of some group of 4-th ODEs with quasi-derivatives. A sufficient condition of the unstability is followed by proper example.</abstract>

On Unstability of Certain Group of ODEs with Quasiderivatives

<abstract xmlns="http://www.w3.org/1999/xhtml">In this work, we apply fractional calculus to analyze a class of economic growth modelling (EGM) of the Spanish economy. More precisely, the Grünwald-Letnnikov and Caputo derivatives are used to simulate GDP by replacing the previous integer order derivatives with the help of Matlab, SPSS and R software. As a result, we find that the data raised from the Caputo derivative are better than the data raised from the Grünwald-Letnnikov derivative. We improve the previous result in [12].</abstract>

Department of Mathematical Analysis and Numerical Mathematics, Faculty of Mathematics, Physics and Informatics

Mathematical Institute of Slovak Academy of Sciences

Applying Fractional Calculus to Analyze Economic Growth Modelling

<abstract xmlns="http://www.w3.org/1999/xhtml">Accurate and fast identification of a person from a security point of view is a key procedure. The most common technique of person identification uses identity cards. In contrary to the common approach we focus our research on identification based on the body movement such as the gait in this paper. The gait and the posture belong to the unique characteristics of the person that helps us to facilitate the identification. The proposed methodology allows us to incorporate personal characteristics into the access control systems using the color depth camera (RGBD). For the sake of gait analysis, the important task is to recognize the figure and extract the skeleton data from a video recording. Besides the usage of the mathematical statistics methods, we are opting to use computer animation and computer vision methods, which makes the research interdisciplinary. The main novelty of the paper is the definition and extraction of the feature vector from motion capture data, the analysis methodology and finally the selection of few statistically dominant motion attributes for the identification purposes. Besides the development of new approaches in this field, we validate proposed approaches from the perspective of accuracy.</abstract>

Faculty of Mathematics, Physics and Informatics

Application of Motion Capture Attributes to Individual Identification under Corridor Surveillance

<abstract xmlns="http://www.w3.org/1999/xhtml">Time series of counts occur in many real-life situations where they exhibit various forms of dispersion. To facilitate the modeling of such time series, this paper introduces a flexible first-order integer-valued non-stationary autoregressive (INAR(1)) process where the innovation terms follow a Conway-Maxwell Poisson distribution (COM-Poisson). To estimate the unknown parameters in this model, different estimation approaches based on likelihood and quasi-likelihood formulations are considered. From simulation experiments and a real-life data application, the Generalized Quasi-Likelihood (GQL) approach yields estimates with lower bias than the other estimation approaches.</abstract>

Estimation Methods for a Flexible INAR(1) COM-Poisson Time Series Model

<abstract xmlns="http://www.w3.org/1999/xhtml">A new phenomenon, which increasingly rises among the young generation all over the world, is Internet addiction. Information and communication technology (ICT) has a major influence not only on individual sectors of the national economy (services, industry, agriculture, etc.), but also on free time activities and interests of the young generation. ICT-related free time activities of the young generation have notably changed over the last decade (Slovakia was connected to the Internet in November 1992). The aim of the research was to determine the symptoms of Internet addiction in Slovak secondary school students, i.e. to detect significant differences between the following: a personality trait – addiction, addiction – age, addiction – a place of residence, etc. The standardized questionnaire was used in all regions of Slovakia. We collected data by means of an online questionnaire over the period of more than six months. The research results show that female have more potential to become addicted than male, which could be caused by feelings and sadness (<xref ref-type="bibr" rid="j_jamsi-2018-0006_ref_027_w2aab3b7b6b1b6b1ab1ac27Aa">Ha &amp; Hwang., 2014</xref>). Some other significant results show that more extroverted students are less Internet-addicted than their less extroverted counterparts. According to Zamani, extroverts prefer social and face-to-face interaction with others (<xref ref-type="bibr" rid="j_jamsi-2018-0006_ref_068_w2aab3b7b6b1b6b1ab1ac68Aa">Zamani et al., 2011</xref>). Other questions focused on neuroticism - emotional stability, where more neurotic students were more addicted than less neurotic students. Finally, significant results were related to residence. Findings showed that students who come from cities (towns) had higher symptoms of Internet addiction than villagers. Other details of this research are shown in the results and discussion section.</abstract>

Department of Applied Informatics and Mathematics

Department of Biology, Faculty of Education

The relationship between internet addiction and personality traits in Slovak secondary schools students

<abstract xmlns="http://www.w3.org/1999/xhtml">A fluent programming is the programming technique where operations return a value that allows the invocation of another operation. With the fluent programming, it is perfectly natural to end up with one huge statement that is the concatenation of as many operations as you like. The Java Development Kit (JDK) streams (added in Java 8) are designed to support fluent programming. Instead of looping over all elements in the sequence repeatedly (once for filter, then again for map, and eventually for toArray), the chain of filtermapper-collector can be applied to each element in just one pass over the sequence. In this context, we often encounter lambda expressions used to create locally defined anonymous functions. They provide a clear and concise way to represent one method interface using an expression. Oracle claims that use of lambda expressions also improve the collection libraries making it easier to iterate through, filter, and extract data from a collection. In addition, new concurrency features improve performance in multicore environments.There are multiple ways to traverse, iterate, or loop collection in Java. Therefore, to solve one problem, we have several options for solutions that differ by undeniably increasing of the code readability. Searching for answers to the question of whether these new features really bring performance benefits over conventional way, is the subject of this paper.</abstract>

Performance improvement of using lambda expressions with new features of Java 8 vs. other possible variants of iterating over ArrayList in Java

AHEAD OF PRINT

Volume 19 (2023): Issue 2 (December 2023)

Volume 19 (2023): Issue 1 (May 2023)

Volume 18 (2022): Issue 2 (December 2022)

Volume 18 (2022): Issue 1 (May 2022)

Volume 17 (2021): Issue 2 (December 2021)

Volume 17 (2021): Issue 1 (May 2021)

Volume 16 (2020): Issue 2 (December 2020)

Volume 16 (2020): Issue 1 (May 2020)

Volume 15 (2019): Issue 2 (December 2019)

Volume 15 (2019): Issue 1 (May 2019)

Volume 14 (2018): Issue 2 (December 2018)

Volume 14 (2018): Issue 1 (May 2018)

Volume 13 (2017): Issue 2 (December 2017)

Volume 13 (2017): Issue 1 (May 2017)

Volume 12 (2016): Issue 2 (December 2016)

Volume 12 (2016): Issue 1 (May 2016)

Volume 11 (2015): Issue 2 (December 2015)

Volume 11 (2015): Issue 1 (May 2015)

Volume 10 (2014): Issue 2 (December 2014)

Volume 10 (2014): Issue 1 (May 2014)

Volume 9 (2013): Issue 2 (December 2013)

Volume 9 (2013): Issue 1 (May 2013)

Volume 8 (2012): Issue 2 (December 2012)

Volume 8 (2012): Issue 1 (May 2012)

Journal of Applied Mathematics, Statistics and Informatics

 Journal of Applied Mathematics, Statistics and Informatics (JAMSI) serves as a venue for careful presentation of applied research in the core areas of informatics and information technologies, statistics and mathematics. The purpose of the JAMSI is to further the development of inter-disciplinary research that crosses the boundaries between computer science, mathematics and statistics. The journal aims to broaden the synergy between computer science and theoretical mathematics by world class scientists, writing to other scientists about advances, methods and findings behind the fundamentals.  Topics include, but are not limited to: applied, computational, and industrial mathematics, AI, computer graphics, simulations, stochastic methods, database theory, graph theory, computer networks and communications, information security, to name a few.  The journal supports the publication of original research papers containing new substantial, significant or overviewed results and methods, with complete proofs. Why subscribe and read  Journal serves as a venue for careful presentation of applied research in the core areas of computing.  Rejection Rate   33%   Target group  researchers in the fields of informatics, information technologies, statistics and mathematics   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 