There are many problems in Graph Theory for finite graphs relating the number of vertices and the number of edges and, therefore, related to the average degree for finite graphs. However, when dealing with real-life problems involving networks, it is often useful to model the situation by using infinite graphs, which can represent extendable systems. In this paper, we will generalize the concept of average degree for infinite graphs in a family of graphs that we call average-measurable. Besides, this new definition allows the generalization of the universal formulae for evaluation of percolation thresholds.
{"title":"Theoretical Progress on Infinite Graphs and Their Average Degree: Applicability to the European Road Transport Network","authors":"M. Cera, E. M. Fedriani","doi":"10.1109/MCSI.2015.56","DOIUrl":"https://doi.org/10.1109/MCSI.2015.56","url":null,"abstract":"There are many problems in Graph Theory for finite graphs relating the number of vertices and the number of edges and, therefore, related to the average degree for finite graphs. However, when dealing with real-life problems involving networks, it is often useful to model the situation by using infinite graphs, which can represent extendable systems. In this paper, we will generalize the concept of average degree for infinite graphs in a family of graphs that we call average-measurable. Besides, this new definition allows the generalization of the universal formulae for evaluation of percolation thresholds.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130470668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Inflation is a very important macroeconomic indicator, which measures the change in the general level of prices of goods and services. The monthly time series of the annual inflation rate is defined as the growth rate of the monthly time series of the consumer price index with respect to the corresponding month of the previous year. The annual inflation rate might not always be the appropriate measure of inflation, mainly due to the fact that it does not provide up-to-date information on the level of inflation. The harmonic analysis shows that the annual inflation rate deforms and delays the information with respect to the monthly inflation rate. This conclusion can be extremely important in the forecasting of the inflation rate, as well as in the process of economic decision making. The new method for the construction of the annual inflation rate forecasts is proposed. The advantage is that it is able to catch breaks and other instabilities in the future development of the time series.
{"title":"Forecasting of the Annual Inflation Rate in the Unstable Economic Conditions","authors":"J. Arlt, M. Arltová","doi":"10.1109/MCSI.2015.34","DOIUrl":"https://doi.org/10.1109/MCSI.2015.34","url":null,"abstract":"Inflation is a very important macroeconomic indicator, which measures the change in the general level of prices of goods and services. The monthly time series of the annual inflation rate is defined as the growth rate of the monthly time series of the consumer price index with respect to the corresponding month of the previous year. The annual inflation rate might not always be the appropriate measure of inflation, mainly due to the fact that it does not provide up-to-date information on the level of inflation. The harmonic analysis shows that the annual inflation rate deforms and delays the information with respect to the monthly inflation rate. This conclusion can be extremely important in the forecasting of the inflation rate, as well as in the process of economic decision making. The new method for the construction of the annual inflation rate forecasts is proposed. The advantage is that it is able to catch breaks and other instabilities in the future development of the time series.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124516248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Walker, L. Mears, Rahman S. M. Mizanoor, R. Pak, S. Remy, Yue Wang
We present a new approach to payload handovers between robots and humans in collaborative human-co-robot operations. The key innovation is the incorporation of robot trust (in the human) in the underlying robot motion planning algorithm. Using a weighted Jacobian pseudoinverse algorithm, the robot motions are varied (trading off collision risk against task efficiency) based on the current value of trust. The targeted application is small-scale manufacturing, but the approach can be applied to many forms of robot-human handovers and interactions.
{"title":"Robot-Human Handovers Based on Trust","authors":"I. Walker, L. Mears, Rahman S. M. Mizanoor, R. Pak, S. Remy, Yue Wang","doi":"10.1109/MCSI.2015.50","DOIUrl":"https://doi.org/10.1109/MCSI.2015.50","url":null,"abstract":"We present a new approach to payload handovers between robots and humans in collaborative human-co-robot operations. The key innovation is the incorporation of robot trust (in the human) in the underlying robot motion planning algorithm. Using a weighted Jacobian pseudoinverse algorithm, the robot motions are varied (trading off collision risk against task efficiency) based on the current value of trust. The targeted application is small-scale manufacturing, but the approach can be applied to many forms of robot-human handovers and interactions.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123550258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The subject of this article is an attempt to solve control problems commonly found in the automatic precise control systems of the ship in in low speed motion. Control of fuzzy systems are finding wide practical applications to making decision to control and modelling of complex of control systems of ship. This paper explores fuzzy logic and it helps navigators in making best possible decision in the process of steering the ship. A method of fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems of the ship motion. Automatic control systems deploying fuzzy logic can improve the management of uncertain variables, such as making decision to steering of the ship in low speed motion. The paper consists of the following sections. It starts with a brief description of dynamical and kinematical equations of the ship's motion and their frames of reference. Then a fuzzy control law and a control algorithm are presented. Next selected simulation results are provided. Finally, in the last section some conclusions are given.
{"title":"Applying of Fuzzy Logic to Precise Control of the Ship Motion","authors":"J. Małecki","doi":"10.1109/MCSI.2015.22","DOIUrl":"https://doi.org/10.1109/MCSI.2015.22","url":null,"abstract":"The subject of this article is an attempt to solve control problems commonly found in the automatic precise control systems of the ship in in low speed motion. Control of fuzzy systems are finding wide practical applications to making decision to control and modelling of complex of control systems of ship. This paper explores fuzzy logic and it helps navigators in making best possible decision in the process of steering the ship. A method of fuzzy logic, which mathematically emulates human reasoning, provides an intuitive way to design function blocks for intelligent control systems of the ship motion. Automatic control systems deploying fuzzy logic can improve the management of uncertain variables, such as making decision to steering of the ship in low speed motion. The paper consists of the following sections. It starts with a brief description of dynamical and kinematical equations of the ship's motion and their frames of reference. Then a fuzzy control law and a control algorithm are presented. Next selected simulation results are provided. Finally, in the last section some conclusions are given.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Utilizing the Boussinesq approximation, a double-population thermal lattice Boltzmann method (LBM) for forced and natural convection in two space dimensions is developed and validated. A block-structured dynamic adaptive mesh refinement procedure tailored for LBM is applied to enable computationally efficient simulations of high Rayleigh number configurations which are characterized by a large scale disparity in boundary layers and free stream flow. As test cases, the analytically accessible problem of a two-dimensional (2D) forced convection flow through two porous plates and the non-Cartesian configuration of a heated rotating cylinder are considered. The effectiveness of the overall approach is demonstrated for the 2D natural convection benchmark of a cavity with differentially heated walls at Rayleigh numbers from 103 up to 108.
{"title":"Validation of a Dynamically Adaptive Lattice Boltzmann Method for 2D Thermal Convection Simulations","authors":"Kai Feldhusen, R. Deiterding, C. Wagner","doi":"10.1109/MCSI.2015.60","DOIUrl":"https://doi.org/10.1109/MCSI.2015.60","url":null,"abstract":"Utilizing the Boussinesq approximation, a double-population thermal lattice Boltzmann method (LBM) for forced and natural convection in two space dimensions is developed and validated. A block-structured dynamic adaptive mesh refinement procedure tailored for LBM is applied to enable computationally efficient simulations of high Rayleigh number configurations which are characterized by a large scale disparity in boundary layers and free stream flow. As test cases, the analytically accessible problem of a two-dimensional (2D) forced convection flow through two porous plates and the non-Cartesian configuration of a heated rotating cylinder are considered. The effectiveness of the overall approach is demonstrated for the 2D natural convection benchmark of a cavity with differentially heated walls at Rayleigh numbers from 103 up to 108.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays the confidentiality of information is an issue of primary importance. Generally, confidentiality is obtained by encrypting/decrypting the information with a symmetric algorithm. Currently, the most used and standardized algorithm is the Advanced Encryption Standard (AES), but the encryption and decryption usually causes undesired delays in the access to information. As users must necessarily use either AES or another encryption/decryption algorithm to guarantee confidentiality, the implications on performance must always be evaluated. It is very interesting to evaluate the influence of the configuration parameters of AES on performance, in order to select an appropriate configuration. This work provides a performance evaluation methodology to estimate how the configuration of any encryption/decryption algorithm affects the performance. The methodology has been applied to the AES algorithm in five different execution platforms, obtaining useful results for any user of the AES algorithm.
{"title":"Performance Evaluation of Advanced Encryption Standard Algorithm","authors":"D. García","doi":"10.1109/MCSI.2015.61","DOIUrl":"https://doi.org/10.1109/MCSI.2015.61","url":null,"abstract":"Nowadays the confidentiality of information is an issue of primary importance. Generally, confidentiality is obtained by encrypting/decrypting the information with a symmetric algorithm. Currently, the most used and standardized algorithm is the Advanced Encryption Standard (AES), but the encryption and decryption usually causes undesired delays in the access to information. As users must necessarily use either AES or another encryption/decryption algorithm to guarantee confidentiality, the implications on performance must always be evaluated. It is very interesting to evaluate the influence of the configuration parameters of AES on performance, in order to select an appropriate configuration. This work provides a performance evaluation methodology to estimate how the configuration of any encryption/decryption algorithm affects the performance. The methodology has been applied to the AES algorithm in five different execution platforms, obtaining useful results for any user of the AES algorithm.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127984473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Ojugo, A. Eboka, R. Yoro., M. Yerokun, F. N. Efozia
Diabetes Mellitus (silent killer or sugar disease) is a metabolic disease characterized by high glucose levels, either in a body with insufficient insulin to breakdown glucose, or body that is resistant to effects of insulin. To improve early diagnosis, data-mining tools are used to help physicians effectively classify the disease. Study presents a hybrid fuzzy, genetic algorithm trained neural network model as a decision support system for diabetes classification. Adopted data is split into: training, cross validation and testing to aid model validation with appropriate weights and biases set for each variables. Results indicate that age, obesity and family relations (in first and second degree), environmental conditions are critical factors to be watched, While in gestational diabetes, mothers with or without a previous case of GDM is confirmed if there is: (a) history of babies with weight > 4.5kg at birth, (b) resistant to insulin showing polycystic ovary syndrome, and (c) have abnormal tolerance to insulin.
{"title":"Hybrid Model for Early Diabetes Diagnosis","authors":"A. Ojugo, A. Eboka, R. Yoro., M. Yerokun, F. N. Efozia","doi":"10.1109/MCSI.2015.35","DOIUrl":"https://doi.org/10.1109/MCSI.2015.35","url":null,"abstract":"Diabetes Mellitus (silent killer or sugar disease) is a metabolic disease characterized by high glucose levels, either in a body with insufficient insulin to breakdown glucose, or body that is resistant to effects of insulin. To improve early diagnosis, data-mining tools are used to help physicians effectively classify the disease. Study presents a hybrid fuzzy, genetic algorithm trained neural network model as a decision support system for diabetes classification. Adopted data is split into: training, cross validation and testing to aid model validation with appropriate weights and biases set for each variables. Results indicate that age, obesity and family relations (in first and second degree), environmental conditions are critical factors to be watched, While in gestational diabetes, mothers with or without a previous case of GDM is confirmed if there is: (a) history of babies with weight > 4.5kg at birth, (b) resistant to insulin showing polycystic ovary syndrome, and (c) have abnormal tolerance to insulin.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"28 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126209348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electrical impedance tomography (EIT) is a promising modality for lung ventilation monitoring. It can provide information about the distribution of regional ventilation in predefined regions of interest (ROIs), as well as estimate several ventilatory parameters including tidal volume (VT) or end-expiratory lung volume (EELV). The approaches for calculation of VT and EELV are based on the values of global tidal variation (TV) and end-expiratory lung impedance (EELI) obtained by the means of functional EIT (fEIT). For reconstruction of fEIT data, a set of reference measurements, often called as a baseline frame, needs to be determined. The aim of the study is to show how setting of this baseline frame can influence the values of ROI, global TV and EELI and thus affect the estimation of VT and EELV and the evaluation of lung recruitment as such. In order to study the effect of the baseline frame selection, an animal study (pigs, n=3) was conducted. The animals were anaesthetized and mechanically ventilated. Four incremental steps in positive end-expiratory pressure (PEEP), each having a value of 0.5 kPa were performed to reach a total PEEP level of 2.5 kPa. Continuous EIT monitoring was done during this PEEP trial. The obtained data were reconstructed using baseline frames chosen manually at five different PEEP levels. The selection of the baseline frames resulted in different values of global TV and EELI. Thus, when estimating VT and EELV by means of fEIT, it is necessary to choose one common baseline frame for data reconstruction. However, the effect on the percentage values that express the distribution of regional ventilation is negligible and below clinical significance.
{"title":"Selection of the Baseline Frame for Evaluation of Electrical Impedance Tomography of the Lungs","authors":"K. Roubík, V. Sobota, M. Laviola","doi":"10.1109/MCSI.2015.51","DOIUrl":"https://doi.org/10.1109/MCSI.2015.51","url":null,"abstract":"Electrical impedance tomography (EIT) is a promising modality for lung ventilation monitoring. It can provide information about the distribution of regional ventilation in predefined regions of interest (ROIs), as well as estimate several ventilatory parameters including tidal volume (VT) or end-expiratory lung volume (EELV). The approaches for calculation of VT and EELV are based on the values of global tidal variation (TV) and end-expiratory lung impedance (EELI) obtained by the means of functional EIT (fEIT). For reconstruction of fEIT data, a set of reference measurements, often called as a baseline frame, needs to be determined. The aim of the study is to show how setting of this baseline frame can influence the values of ROI, global TV and EELI and thus affect the estimation of VT and EELV and the evaluation of lung recruitment as such. In order to study the effect of the baseline frame selection, an animal study (pigs, n=3) was conducted. The animals were anaesthetized and mechanically ventilated. Four incremental steps in positive end-expiratory pressure (PEEP), each having a value of 0.5 kPa were performed to reach a total PEEP level of 2.5 kPa. Continuous EIT monitoring was done during this PEEP trial. The obtained data were reconstructed using baseline frames chosen manually at five different PEEP levels. The selection of the baseline frames resulted in different values of global TV and EELI. Thus, when estimating VT and EELV by means of fEIT, it is necessary to choose one common baseline frame for data reconstruction. However, the effect on the percentage values that express the distribution of regional ventilation is negligible and below clinical significance.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114063235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper presents a novel interactive application created in the C# programming language under the Microsoft Visual Studio environment, called Fractal Engine. The application enables generating and interactive modeling of two dimensional IFS fractals in real time, modifying different parameters in the IFS code, making animations by gradually changing one or more coefficients in the IFS code, coloring fractals, saving files in different image formats for later post-processing or creating more complex images. The modeling is enabled by assigning barycentric coordinates of the points that form the fractal image, with respect to three non-collinear points defined by the user. The application allows finding vertexes of a kind of triangle with minimal area that contains the fractal, which has particular advantages in modeling.
{"title":"An Interactive Application for Modeling Two-Dimensional IFS Fractals","authors":"Elena Hadzieva, Jovan Petkoski","doi":"10.1109/MCSI.2015.21","DOIUrl":"https://doi.org/10.1109/MCSI.2015.21","url":null,"abstract":"The paper presents a novel interactive application created in the C# programming language under the Microsoft Visual Studio environment, called Fractal Engine. The application enables generating and interactive modeling of two dimensional IFS fractals in real time, modifying different parameters in the IFS code, making animations by gradually changing one or more coefficients in the IFS code, coloring fractals, saving files in different image formats for later post-processing or creating more complex images. The modeling is enabled by assigning barycentric coordinates of the points that form the fractal image, with respect to three non-collinear points defined by the user. The application allows finding vertexes of a kind of triangle with minimal area that contains the fractal, which has particular advantages in modeling.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115736149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In recent years, there have been many studies in the field of fractional order control systems. Many results have been published related with the frequency and time domains analysis of closed loop fractional order control systems. However, obtaining exact time response of a fractional order system is a difficult problem since it is not possible to derive analytical inverse Laplace transform of a fractional order transfer function. In this paper, an exact method is presented for computation of the time response of a closed loop control system with a fractional order lag or lead controller using frequency response data of the closed loop system. The presented method is based on the results, which use Fourier series of a square wave and inverse Fourier transform of frequency response information, previously derived by the authors. Numerical examples are provided to show the success of the presented method.
{"title":"Time Response Computation of Control Systems with Fractional Order Lag or Lead Controller","authors":"N. Tan, Ali Yuce, D. Atherton, F. N. Deniz","doi":"10.1109/MCSI.2015.58","DOIUrl":"https://doi.org/10.1109/MCSI.2015.58","url":null,"abstract":"In recent years, there have been many studies in the field of fractional order control systems. Many results have been published related with the frequency and time domains analysis of closed loop fractional order control systems. However, obtaining exact time response of a fractional order system is a difficult problem since it is not possible to derive analytical inverse Laplace transform of a fractional order transfer function. In this paper, an exact method is presented for computation of the time response of a closed loop control system with a fractional order lag or lead controller using frequency response data of the closed loop system. The presented method is based on the results, which use Fourier series of a square wave and inverse Fourier transform of frequency response information, previously derived by the authors. Numerical examples are provided to show the success of the presented method.","PeriodicalId":371635,"journal":{"name":"2015 Second International Conference on Mathematics and Computers in Sciences and in Industry (MCSI)","volume":"32 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121012670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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