Magazine et Edition

Volume 22 (2022): Edition 3 (September 2022)

Volume 22 (2022): Edition 2 (June 2022)

Volume 22 (2022): Edition 1 (March 2022)

Volume 21 (2021): Edition 4 (December 2021)

Volume 21 (2021): Edition 3 (September 2021)

Volume 21 (2021): Edition 2 (June 2021)

Volume 21 (2021): Edition 1 (March 2021)

Volume 20 (2020): Edition 6 (December 2020)
Special Edition on New Developments in Scalable Computing

Volume 20 (2020): Edition 5 (December 2020)
Special issue on Innovations in Intelligent Systems and Applications

Volume 20 (2020): Edition 4 (November 2020)

Volume 20 (2020): Edition 3 (September 2020)

Volume 20 (2020): Edition 2 (June 2020)

Volume 20 (2020): Edition 1 (March 2020)

Volume 19 (2019): Edition 4 (November 2019)

Volume 19 (2019): Edition 3 (September 2019)

Volume 19 (2019): Edition 2 (June 2019)

Volume 19 (2019): Edition 1 (March 2019)

Volume 18 (2018): Edition 5 (May 2018)
Special Thematic Edition on Optimal Codes and Related Topics

Volume 18 (2018): Edition 4 (November 2018)

Volume 18 (2018): Edition 3 (September 2018)

Volume 18 (2018): Edition 2 (June 2018)

Volume 18 (2018): Edition 1 (March 2018)

Volume 17 (2017): Edition 5 (December 2017)
Special Edition With Selected Papers From The Workshop “Two Years Avitohol: Advanced High Performance Computing Applications 2017

Volume 17 (2017): Edition 4 (November 2017)

Volume 17 (2017): Edition 3 (September 2017)

Volume 17 (2017): Edition 2 (June 2017)

Volume 17 (2017): Edition 1 (March 2017)

Volume 16 (2016): Edition 6 (December 2016)
Special issue with selection of extended papers from 6th International Conference on Logistic, Informatics and Service Science LISS’2016

Volume 16 (2016): Edition 5 (October 2016)
Edition Title: Special Edition on Application of Advanced Computing and Simulation in Information Systems

Volume 16 (2016): Edition 4 (December 2016)

Volume 16 (2016): Edition 3 (September 2016)

Volume 16 (2016): Edition 2 (June 2016)

Volume 16 (2016): Edition 1 (March 2016)

Volume 15 (2015): Edition 7 (December 2015)
Special Edition on Information Fusion

Volume 15 (2015): Edition 6 (December 2015)
Special Edition on Logistics, Informatics and Service Science

Volume 15 (2015): Edition 5 (April 2015)
Special Edition on Control in Transportation Systems

Volume 15 (2015): Edition 4 (November 2015)

Volume 15 (2015): Edition 3 (September 2015)

Volume 15 (2015): Edition 2 (June 2015)

Volume 15 (2015): Edition 1 (March 2015)

Volume 14 (2014): Edition 5 (December 2014)
Special Edition

Volume 14 (2014): Edition 4 (December 2014)

Volume 14 (2014): Edition 3 (September 2014)

Volume 14 (2014): Edition 2 (June 2014)

Volume 14 (2014): Edition 1 (March 2014)

Volume 13 (2013): Edition Special-Edition (December 2013)

Volume 13 (2013): Edition 4 (December 2013)
The publishing of the present issue (Volume 13, No 4, 2013) of the journal “Cybernetics and Information Technologies” is financially supported by FP7 project “Advanced Computing for Innovation” (ACOMIN), grant agreement 316087 of Call FP7 REGPOT-2012-2013-1.

Volume 13 (2013): Edition 3 (September 2013)

Volume 13 (2013): Edition 2 (June 2013)

Volume 13 (2013): Edition 1 (March 2013)

Volume 12 (2012): Edition 4 (December 2012)

Volume 12 (2012): Edition 3 (September 2012)

Volume 12 (2012): Edition 2 (June 2012)

Volume 12 (2012): Edition 1 (March 2012)

Détails du magazine
Format
Magazine
eISSN
1314-4081
Première publication
13 Mar 2012
Période de publication
4 fois par an
Langues
Anglais

Chercher

Volume 21 (2021): Edition 1 (March 2021)

Détails du magazine
Format
Magazine
eISSN
1314-4081
Première publication
13 Mar 2012
Période de publication
4 fois par an
Langues
Anglais

Chercher

14 Articles
Accès libre

New Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets and Their Application to Multi-Criteria Decision-Making Problem

Publié en ligne: 30 Mar 2021
Pages: 3 - 18

Résumé

Abstract

Many authors agree that the Interval-Valued Intuitionistic Fuzzy Set (IVIFS) theory generates as realistic as possible evaluation of real-life problems. One of the real-life problems where IVIFSs are often preferred is the Multi-Criteria Decision-Making (MCDM) problem. For this problem, the ranking of values obtained by fuzzing the opinions corresponding to alternatives is an important step, as a failure in ranking may lead to the selection of the wrong alternative. Therefore, the method used for ranking must have high performance. In this article, a new score function SKE and a new accuracy function HKE are developed to overcome the disadvantages of existing ranking functions for IVIFSs. Then, two illustrative examples of MCDM problems are presented to show the application of the proposed functions and to evaluate their effectiveness. Results show that the functions proposed have high performance and they are the eligibility for the MCDM problem.

Mots clés

  • Accuracy function
  • Multi-criteria decision making
  • interval-valued intuitionistic fuzzy set
  • score function
  • ranking
Accès libre

The Probabilistic Risk Measure VaR as Constraint in Portfolio Optimization Problem

Publié en ligne: 30 Mar 2021
Pages: 19 - 31

Résumé

Abstract

The paper realizes inclusion of probabilistic measure for risk, VaR (Value at Risk), into a portfolio optimization problem. The formal analysis of the portfolio problem illustrates the evolution of the portfolio theory in sequentially inclusion of different market characteristics into the problem. They make modifications and complications of the portfolio problem by adding various constraints to consider requirements for taxes, boundaries for assets, cardinality constraints, and allocation of the investment resources. All these characteristics and parameters of the investment participate in the portfolio problem by analytical algebraic relations. The VaR definition of the portfolio risk is formalized in a probabilistic manner. The paper applies approximation of such probabilistic constraint in algebraic form. Geometrical interpretation is given for explaining the influence of the VaR constraint to the portfolio solution. Numerical simulation with data of the Bulgarian Stock Exchange illustrates the influence of the VaR constraint into the portfolio optimization problem.

Mots clés

  • Portfolio optimization problem
  • VaR
  • approximation of probabilistic constraint
  • graphical interpretation of VaR
Accès libre

Hierarchical Hexagon: A New Fault-Tolerant Interconnection Network for Parallel Systems

Publié en ligne: 30 Mar 2021
Pages: 32 - 49

Résumé

Abstract

A new interconnection network topology called Hierarchical Hexagon HH(n) is proposed for massively parallel systems. The new network uses a hexagon as the primary building block and grows hierarchically. Our proposed network is shown to be superior to the star based and the hypercube networks, with respect to node degree, diameter, network cost, and fault tolerance. We thoroughly analyze different topological parameters of the proposed topology including fault tolerance routing and embedding Hamiltonian cycle.

Mots clés

  • Interconnection network
  • cost
  • bisection width
  • fault-tolerant routing
  • packing density
  • Hamiltonian cycle
Accès libre

A New Symmetric Digital Video Encryption Model

Publié en ligne: 30 Mar 2021
Pages: 50 - 61

Résumé

Abstract

In this paper a new symmetric cryptographic method for digital video file is presented. The proposed algorithm is based on combining two chaotic maps. Extended cryptographic is provided for evaluation and proving the efficiency and the level of security of the encrypted files. The empirical tests are explained and the obtained results are presented in the manuscript.

Mots clés

  • Video encryption
  • Symmetric encryption
  • Cryptography
  • Cryptographic analysis
  • Digital video files
Accès libre

Virtual Machine Placement Using Energy Efficient Particle Swarm Optimization in Cloud Datacenter

Publié en ligne: 30 Mar 2021
Pages: 62 - 72

Résumé

Abstract

Efficient resource allocation through Virtual machine placement in a cloud datacenter is an ever-growing demand. Different Virtual Machine optimization techniques are constructed for different optimization problems. Particle Swam Optimization (PSO) Algorithm is one of the optimization techniques to solve the multidimensional virtual machine placement problem. In the algorithm being proposed we use the combination of Modified First Fit Decreasing Algorithm (MFFD) with Particle Swarm Optimization Algorithm, used to solve the best Virtual Machine packing in active Physical Machines to reduce energy consumption; we first screen all Physical Machines for possible accommodation in each Physical Machine and then the Modified Particle Swam Optimization (MPSO) Algorithm is used to get the best fit solution.. In our paper, we discuss how to improve the efficiency of Particle Swarm Intelligence by adapting the efficient mechanism being proposed. The obtained result shows that the proposed algorithm provides an optimized solution compared to the existing algorithms.

Mots clés

  • Cloud computing
  • Virtual Machine optimization
  • Particle Swarm Optimization (PSO)
  • Energy Efficiency
  • Resource Allocation
  • Fitness Function
Accès libre

A Study on Human Learning Ability during Classification of Motion and Colour Visual Cues and Their Combination

Publié en ligne: 30 Mar 2021
Pages: 73 - 86

Résumé

Abstract

The paper presents a study on the human learning process during the classification of stimuli, defined by motion and color visual cues and their combination. Because the classification dimension and the features that define each category are uncertain, we model the learning curves using Bayesian inference and more precisely the Normalized Conjunctive Consensus rule, and also on the base of the more efficient probabilistic Proportional Conflict Redistribution rule No 5 (pPCR5) defined within Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning. Our goal is to study how these rules succeed to model consistently both: human individual and group behaviour during the learning of the associations between the stimuli and the responses in categorization tasks varying by the amount of relevant stimulus information. The effect of age on this process is also evaluated.

Mots clés

  • Vision
  • Human Perception
  • Classification
  • Color cue
  • Motion cue
  • Cues Combination
  • DSmT
  • probabilistic Proportional Redistribution rule No 5 (pPCR5)
  • Normalized Conjunctive Consensus (NCC) rule
Accès libre

Relating Student Engagement Indicators to Academic Performance Using Multiple Correspondence Analysis

Publié en ligne: 30 Mar 2021
Pages: 87 - 102

Résumé

Abstract

Student engagement is an essential device for deepening learning, achieving learning outcomes, developing competencies, and improving academic performance in education settings. It is widely receiving increased attention among various scholars and higher education leaders. However, there are increasing concerns about the academic performance of students in higher education settings. The application of statistical data analytics for mining student engagement datasets is a candidate strategy for discovering essential indicators associated with academic performance. However, widely used data analytic methods like principal component analysis are ineffective when most of the indicators captured are categorical, making them inappropriate for establishing the weighty academic performance indicators. This study’s objective was to investigate the application of multiple correspondence analysis to establish weighty student engagement indicators of academic performance. This study’s findings have indicated that higher-order learning and student-staff interaction are weighty indicators that relate student engagement to academic performance.

Mots clés

  • Academic performance
  • correspondence analysis
  • national survey
  • student behaviour
  • student engagement
Accès libre

An Effective e-Commerce Recommender System Based on Trust and Semantic Information

Publié en ligne: 30 Mar 2021
Pages: 103 - 118

Résumé

Abstract

Electronic commerce has been growing gradually over the last decade as a new driver of the retail industry. In fact, the growth of e-Commerce has caused a significant rise in the number of choices of products and services offered on the Internet. This is where recommender systems come into play by providing meaningful recommendations to consumers based on their needs and interests effectively. However, recommender systems are still vulnerable to the scenarios of sparse rating data and cold start users and items. To develop an effective e-Commerce recommender system that addresses these limitations, we propose a Trust-Semantic enhanced Multi-Criteria CF (TSeMCCF) approach that exploits the trust relations and multi-criteria ratings of users, and the semantic relations of items within the CF framework to achieve effective results when sufficient rating data are not available. The experimental results have shown that the proposed approach outperforms other benchmark recommendation approaches with regard to recommendation accuracy and coverage.

Mots clés

  • e-Commerce
  • Recommender systems
  • Collaborative filtering
  • Multi-criteria
  • Trust network
  • Semantic similarity
Accès libre

Design of a Multifunctional Operating Station Based on Augmented Reality (MOSAR)

Publié en ligne: 30 Mar 2021
Pages: 119 - 136

Résumé

Abstract

Design principles of a novel Multifunctional Operation Station (MOS) using Augmented Reality (AR) technology (MOSAR) are proposed in this paper. AR-based design allows more ergonomic remote instrument control in real time in contrast to classical instrument-centered interfaces. Another advantage is its hierarchical software structure including multiple programming interpreters. The MOSAR approach is illustrated with a remote surgical operating station that controls intelligent surgical instruments. The implementation of the Operation Station (MOS) is based on the multiplatform open-source library Tcl/Tk, and an AR extension has been developed on a Unity platform, using Vuforia SDK.

Mots clés

  • Multifunctional Operating Station (MOS)
  • Virtual Reality (VR)
  • Augmented Reality (AR)
  • Tcl/Tk
  • Surgical Robotics
Accès libre

Contracting VoIP Packet Payload Down to Zero

Publié en ligne: 30 Mar 2021
Pages: 137 - 150

Résumé

Abstract

The inefficient use of the IP network bandwidth is a fundamental issue that restricts the exponential spreading of Voice over IP (VoIP). The primary reason for this is the big header size of the VoIP packet. In this paper, we propose a method, called Short Voice Frame (SVF), that addresses the big header size of the VoIP packet. The main idea of the SVF method is to make effective use of the VoIP packet header fields that are unneeded to the VoIP technology. In particular, these fields will be used for temporarily buffering the voice frame (VoIP packet payload) data. This will make the VoIP packet payload short or even zero in some cases. The performance evaluation of the proposed SVF method showed that the use of the IP network bandwidth has improved by up to 28.3% when using the G.723.1 codec.

Mots clés

  • VoIP
  • VoIP protocols
  • bandwidth utilization
Accès libre

Systems Engineering Information Model of Vehicle-Pedestrian Collisions

Publié en ligne: 30 Mar 2021
Pages: 151 - 168

Résumé

Abstract

Engineering analysis of motor vehicle collisions as a complex type of research combines the application of scientific approaches from different fields: mechanics, mathematics, structural design, etc. This implies accurate and unambiguous determination of input data and their application in computational procedures for finding solutions in iterative mode. Hence, the reason to apply the specific research method of information modelling in the present study to one of the main types of road accidents, namely the pedestrian-car collision.

Mots clés

  • Automobile
  • pedestrian
  • road traffic accident
  • information model
  • SolidWorks
Accès libre

Errata to the paper “All-words Word Sense Disambiguation for Russian Using Automatically Generated Text Collection” (Published in Vol. 20, No 4, pp. 90-107, DOI: 10.2478/cait-2020-0049)

Publié en ligne: 30 Mar 2021
Pages: 169 - 169

Résumé

Accès libre

Erratum to the paper “Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles” (Published in Vol. 20, No 4, pp. 125-140, DOI: 10.2478/cait-2020-0051)

Publié en ligne: 30 Mar 2021
Pages: 170 - 170

Résumé

Accès libre

Erratum to the paper “New Uniform Subregular Parallelisms of PG (3, 4) Invariant under an Automorphism of Order 2” (Published in Vol. 20, 2020, No 6, pp. 18-27, DOI: 10.2478/cait-2020-0057)

Publié en ligne: 30 Mar 2021
Pages: 171 - 171

Résumé

14 Articles
Accès libre

New Ranking Functions for Interval-Valued Intuitionistic Fuzzy Sets and Their Application to Multi-Criteria Decision-Making Problem

Publié en ligne: 30 Mar 2021
Pages: 3 - 18

Résumé

Abstract

Many authors agree that the Interval-Valued Intuitionistic Fuzzy Set (IVIFS) theory generates as realistic as possible evaluation of real-life problems. One of the real-life problems where IVIFSs are often preferred is the Multi-Criteria Decision-Making (MCDM) problem. For this problem, the ranking of values obtained by fuzzing the opinions corresponding to alternatives is an important step, as a failure in ranking may lead to the selection of the wrong alternative. Therefore, the method used for ranking must have high performance. In this article, a new score function SKE and a new accuracy function HKE are developed to overcome the disadvantages of existing ranking functions for IVIFSs. Then, two illustrative examples of MCDM problems are presented to show the application of the proposed functions and to evaluate their effectiveness. Results show that the functions proposed have high performance and they are the eligibility for the MCDM problem.

Mots clés

  • Accuracy function
  • Multi-criteria decision making
  • interval-valued intuitionistic fuzzy set
  • score function
  • ranking
Accès libre

The Probabilistic Risk Measure VaR as Constraint in Portfolio Optimization Problem

Publié en ligne: 30 Mar 2021
Pages: 19 - 31

Résumé

Abstract

The paper realizes inclusion of probabilistic measure for risk, VaR (Value at Risk), into a portfolio optimization problem. The formal analysis of the portfolio problem illustrates the evolution of the portfolio theory in sequentially inclusion of different market characteristics into the problem. They make modifications and complications of the portfolio problem by adding various constraints to consider requirements for taxes, boundaries for assets, cardinality constraints, and allocation of the investment resources. All these characteristics and parameters of the investment participate in the portfolio problem by analytical algebraic relations. The VaR definition of the portfolio risk is formalized in a probabilistic manner. The paper applies approximation of such probabilistic constraint in algebraic form. Geometrical interpretation is given for explaining the influence of the VaR constraint to the portfolio solution. Numerical simulation with data of the Bulgarian Stock Exchange illustrates the influence of the VaR constraint into the portfolio optimization problem.

Mots clés

  • Portfolio optimization problem
  • VaR
  • approximation of probabilistic constraint
  • graphical interpretation of VaR
Accès libre

Hierarchical Hexagon: A New Fault-Tolerant Interconnection Network for Parallel Systems

Publié en ligne: 30 Mar 2021
Pages: 32 - 49

Résumé

Abstract

A new interconnection network topology called Hierarchical Hexagon HH(n) is proposed for massively parallel systems. The new network uses a hexagon as the primary building block and grows hierarchically. Our proposed network is shown to be superior to the star based and the hypercube networks, with respect to node degree, diameter, network cost, and fault tolerance. We thoroughly analyze different topological parameters of the proposed topology including fault tolerance routing and embedding Hamiltonian cycle.

Mots clés

  • Interconnection network
  • cost
  • bisection width
  • fault-tolerant routing
  • packing density
  • Hamiltonian cycle
Accès libre

A New Symmetric Digital Video Encryption Model

Publié en ligne: 30 Mar 2021
Pages: 50 - 61

Résumé

Abstract

In this paper a new symmetric cryptographic method for digital video file is presented. The proposed algorithm is based on combining two chaotic maps. Extended cryptographic is provided for evaluation and proving the efficiency and the level of security of the encrypted files. The empirical tests are explained and the obtained results are presented in the manuscript.

Mots clés

  • Video encryption
  • Symmetric encryption
  • Cryptography
  • Cryptographic analysis
  • Digital video files
Accès libre

Virtual Machine Placement Using Energy Efficient Particle Swarm Optimization in Cloud Datacenter

Publié en ligne: 30 Mar 2021
Pages: 62 - 72

Résumé

Abstract

Efficient resource allocation through Virtual machine placement in a cloud datacenter is an ever-growing demand. Different Virtual Machine optimization techniques are constructed for different optimization problems. Particle Swam Optimization (PSO) Algorithm is one of the optimization techniques to solve the multidimensional virtual machine placement problem. In the algorithm being proposed we use the combination of Modified First Fit Decreasing Algorithm (MFFD) with Particle Swarm Optimization Algorithm, used to solve the best Virtual Machine packing in active Physical Machines to reduce energy consumption; we first screen all Physical Machines for possible accommodation in each Physical Machine and then the Modified Particle Swam Optimization (MPSO) Algorithm is used to get the best fit solution.. In our paper, we discuss how to improve the efficiency of Particle Swarm Intelligence by adapting the efficient mechanism being proposed. The obtained result shows that the proposed algorithm provides an optimized solution compared to the existing algorithms.

Mots clés

  • Cloud computing
  • Virtual Machine optimization
  • Particle Swarm Optimization (PSO)
  • Energy Efficiency
  • Resource Allocation
  • Fitness Function
Accès libre

A Study on Human Learning Ability during Classification of Motion and Colour Visual Cues and Their Combination

Publié en ligne: 30 Mar 2021
Pages: 73 - 86

Résumé

Abstract

The paper presents a study on the human learning process during the classification of stimuli, defined by motion and color visual cues and their combination. Because the classification dimension and the features that define each category are uncertain, we model the learning curves using Bayesian inference and more precisely the Normalized Conjunctive Consensus rule, and also on the base of the more efficient probabilistic Proportional Conflict Redistribution rule No 5 (pPCR5) defined within Dezert-Smarandache Theory (DSmT) of plausible and paradoxical reasoning. Our goal is to study how these rules succeed to model consistently both: human individual and group behaviour during the learning of the associations between the stimuli and the responses in categorization tasks varying by the amount of relevant stimulus information. The effect of age on this process is also evaluated.

Mots clés

  • Vision
  • Human Perception
  • Classification
  • Color cue
  • Motion cue
  • Cues Combination
  • DSmT
  • probabilistic Proportional Redistribution rule No 5 (pPCR5)
  • Normalized Conjunctive Consensus (NCC) rule
Accès libre

Relating Student Engagement Indicators to Academic Performance Using Multiple Correspondence Analysis

Publié en ligne: 30 Mar 2021
Pages: 87 - 102

Résumé

Abstract

Student engagement is an essential device for deepening learning, achieving learning outcomes, developing competencies, and improving academic performance in education settings. It is widely receiving increased attention among various scholars and higher education leaders. However, there are increasing concerns about the academic performance of students in higher education settings. The application of statistical data analytics for mining student engagement datasets is a candidate strategy for discovering essential indicators associated with academic performance. However, widely used data analytic methods like principal component analysis are ineffective when most of the indicators captured are categorical, making them inappropriate for establishing the weighty academic performance indicators. This study’s objective was to investigate the application of multiple correspondence analysis to establish weighty student engagement indicators of academic performance. This study’s findings have indicated that higher-order learning and student-staff interaction are weighty indicators that relate student engagement to academic performance.

Mots clés

  • Academic performance
  • correspondence analysis
  • national survey
  • student behaviour
  • student engagement
Accès libre

An Effective e-Commerce Recommender System Based on Trust and Semantic Information

Publié en ligne: 30 Mar 2021
Pages: 103 - 118

Résumé

Abstract

Electronic commerce has been growing gradually over the last decade as a new driver of the retail industry. In fact, the growth of e-Commerce has caused a significant rise in the number of choices of products and services offered on the Internet. This is where recommender systems come into play by providing meaningful recommendations to consumers based on their needs and interests effectively. However, recommender systems are still vulnerable to the scenarios of sparse rating data and cold start users and items. To develop an effective e-Commerce recommender system that addresses these limitations, we propose a Trust-Semantic enhanced Multi-Criteria CF (TSeMCCF) approach that exploits the trust relations and multi-criteria ratings of users, and the semantic relations of items within the CF framework to achieve effective results when sufficient rating data are not available. The experimental results have shown that the proposed approach outperforms other benchmark recommendation approaches with regard to recommendation accuracy and coverage.

Mots clés

  • e-Commerce
  • Recommender systems
  • Collaborative filtering
  • Multi-criteria
  • Trust network
  • Semantic similarity
Accès libre

Design of a Multifunctional Operating Station Based on Augmented Reality (MOSAR)

Publié en ligne: 30 Mar 2021
Pages: 119 - 136

Résumé

Abstract

Design principles of a novel Multifunctional Operation Station (MOS) using Augmented Reality (AR) technology (MOSAR) are proposed in this paper. AR-based design allows more ergonomic remote instrument control in real time in contrast to classical instrument-centered interfaces. Another advantage is its hierarchical software structure including multiple programming interpreters. The MOSAR approach is illustrated with a remote surgical operating station that controls intelligent surgical instruments. The implementation of the Operation Station (MOS) is based on the multiplatform open-source library Tcl/Tk, and an AR extension has been developed on a Unity platform, using Vuforia SDK.

Mots clés

  • Multifunctional Operating Station (MOS)
  • Virtual Reality (VR)
  • Augmented Reality (AR)
  • Tcl/Tk
  • Surgical Robotics
Accès libre

Contracting VoIP Packet Payload Down to Zero

Publié en ligne: 30 Mar 2021
Pages: 137 - 150

Résumé

Abstract

The inefficient use of the IP network bandwidth is a fundamental issue that restricts the exponential spreading of Voice over IP (VoIP). The primary reason for this is the big header size of the VoIP packet. In this paper, we propose a method, called Short Voice Frame (SVF), that addresses the big header size of the VoIP packet. The main idea of the SVF method is to make effective use of the VoIP packet header fields that are unneeded to the VoIP technology. In particular, these fields will be used for temporarily buffering the voice frame (VoIP packet payload) data. This will make the VoIP packet payload short or even zero in some cases. The performance evaluation of the proposed SVF method showed that the use of the IP network bandwidth has improved by up to 28.3% when using the G.723.1 codec.

Mots clés

  • VoIP
  • VoIP protocols
  • bandwidth utilization
Accès libre

Systems Engineering Information Model of Vehicle-Pedestrian Collisions

Publié en ligne: 30 Mar 2021
Pages: 151 - 168

Résumé

Abstract

Engineering analysis of motor vehicle collisions as a complex type of research combines the application of scientific approaches from different fields: mechanics, mathematics, structural design, etc. This implies accurate and unambiguous determination of input data and their application in computational procedures for finding solutions in iterative mode. Hence, the reason to apply the specific research method of information modelling in the present study to one of the main types of road accidents, namely the pedestrian-car collision.

Mots clés

  • Automobile
  • pedestrian
  • road traffic accident
  • information model
  • SolidWorks
Accès libre

Errata to the paper “All-words Word Sense Disambiguation for Russian Using Automatically Generated Text Collection” (Published in Vol. 20, No 4, pp. 90-107, DOI: 10.2478/cait-2020-0049)

Publié en ligne: 30 Mar 2021
Pages: 169 - 169

Résumé

Accès libre

Erratum to the paper “Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles” (Published in Vol. 20, No 4, pp. 125-140, DOI: 10.2478/cait-2020-0051)

Publié en ligne: 30 Mar 2021
Pages: 170 - 170

Résumé

Accès libre

Erratum to the paper “New Uniform Subregular Parallelisms of PG (3, 4) Invariant under an Automorphism of Order 2” (Published in Vol. 20, 2020, No 6, pp. 18-27, DOI: 10.2478/cait-2020-0057)

Publié en ligne: 30 Mar 2021
Pages: 171 - 171

Résumé

Planifiez votre conférence à distance avec Sciendo