# International Journal of Mathematics and Computers in Simulation

E-ISSN: 1998-0159
Volume 14, 2020

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of NAUN Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Volume 14, 2020

Title of the Paper:  Modeling the Impact of Carbon Dioxide on Marine Plankton

Authors: Sajib Mandal, M. S. Islam, M. H. A. Biswas

Pages: 197-202

Abstract: Marine plankton is the main absorber of environmental carbon dioxide. According to scientists, the marine plankton not only absorbs approximately 30-50% carbon dioxide but also supplies about 70% oxygen of the atmosphere. Carbon dioxide helps the marine plankton to carry on the photosynthetic activity which promotes the growth of the planktonic population. As a result, the increasing plankton absorbs more saturated carbon dioxide and supplies more oxygen. In this article, a mathematical model has been proposed to describe the contribution of carbon dioxide on marine plankton. We have analyzed the model both analytically and numerically. The study discloses natural behaviors along with mathematical modeling.

Title of the Paper:  Conditioning Optimal Structure Electronics for Piezo-devices

Authors: Andres Garcia, Andres Roteta Lannes, Ezequiel Arnaude

Pages: 193-196

Abstract: In this paper, an optimal condition- ing electronics conguration is derived for piezo- electric energy harvesting. Unlike conventional studies where optimal energy(power) is extracted from a given piezo-conditioning circuit, this re- search focuses on the determination of the supre- mum: the optimal conguration extracting the biggest possible amount of energy (power) to the load. Along with the electronic design guided by the optimal solution (Pontryaing's principle), LT- Spice simulations are compared side by side with a pre-specied conguration using an LDO pub- lished previously by the authors.

Title of the Paper: Systematic Literature Review on Metaheuristic Optimization Techniques in WSNs

Authors: Omar Gouda, Ali Bou Nassif, Manar AbuTalib, Qassim Nasir

Pages: 187-192

Abstract: Metaheuristic algorithms are recognized for developing new algorithms and optimizing various aspects in Wireless Sensor Networks (WSNs). Evaluating a multitude of possible modes is required, in most complicated problems, to obtain an exact solution. Metaheuristic algorithms can obtain solutions in acceptable time constraints. These algorithms play an operational role in solving such problems by optimizing the different metrics such as coverage rate and energy consumption of the networks. These metrics have valuable impact on network lifetime as well. This systematic review focuses on the published work from 2010 to 2020 in metaheuristic optimization in WSN. Furthermore, the systematic review will answer multiple questions that will be discussed in the methodology section.

Title of the Paper:  Resolution of Time-Dependent Navier-Stokes Equations with a new Boundary Condition

Authors: Abdeslam El Akkad, Najib Guessous, Ahmed Elkhalfi

Pages: 177-186

Abstract: In this work, a numerical solution of the unsteady incompressible Navier- Stokes equations with a new boundary condition is proposed. The method suggested is based on an algorithm of discretization by finite element method in space and the Euler full-implicit scheme in time. The matrix system is solved at each iteration with a preconditioned GMRES method. Also, we proposed two types of a posteriori error indicator, with one being for the time discretization and the other for the space discretization. We prove the equivalence between the sum of the two types of error indicators and the full error. In order to evaluate the performance of the method, the numerical results of two-dimensional backward-facing step flow are compared with some previously published works or with others coming from commercial code like ADINA (Automatic Dynamic Incremental Nonlinear Analysis) system.

Title of the Paper:  Fault Detection through Vibration Signal Analysis based on HSM with TRIPPY Classifier

Authors: Sumit Kumar Sar, Ramesh Kumar

Pages: 167-176

Abstract: A proficient fault detection model has to be sketched for detecting slight variations of the vibrating signal of rotating machine whereas the diagnosis process prominently stuck with the inefficient extraction of effectual features of a signal in reduced time. Existence of above stated hilarious issue results in the confinement of inventive Harmonized Swan Machine (HSM) based on the stochastic characteristics of swan, which could collect the RKC (RMS, Kurtosis, Crest factor) signal features for every instantaneous signal unit which eliminates noise thereby reducing pre-processing task which in turn lessens time consumption and at the end yields learned extracted faulty features. Accurate classification of faulty features can be accomplished by casting inimitable Trippy classifier which is designed based on selective predictive character of trippy fish which provokes a good path to provide accurate classification based on learned features. This responsible classifier collectively organises the RKC features of respective signal units and do accurate classification of faulty occurrences based on the features in less time.

Title of the Paper:  New Two-step Conjugate Gradient Method for Unconstrained Optimization

Authors: Issam A.R. Moghrabi

Pages: 161-166

Abstract: Two-step methods are secant-like techniques of the quasi-Newton type that, unlike the classical methods, construct nonlinear alternatives to the quantities used in the so-called Secant equation. Two-step methods instead incorporate data available from the two most recent iterations and thus create an alternative to the Secant equation with the intention of creating better Hessian approximations that induce faster convergence to the minimizer of the objective function. Such methods, based on reported numerical results published in several research papers related to the subject, have introduced substantial savings in both iteration and function evaluation counts. Encouraged by the successful performance of the methods, we explore in this paper employing them in developing a new Conjugate Gradient (CG) algorithm. CG methods gain popularity on big problems and in situations when memory resources are scarce. The numerical experimentations on the new methods are encouraging and open venue for further investigation of such techniques to explore their merits in a multitude of applications.

Title of the Paper:  Dually Operated Control Cupola Furnace With Maintaining Constant Air Blast for Improving Production Gain of Iron

Authors: Huzifa A. Fidvi, Akash M. Langde

Pages: 151-160

Abstract: Cupola furnace is the most commonly used for the melting of ferrous metals and alloys. The key challenge in this paper is variation of air blast which lead to productivity loss and moreover affects the small scale industries. In order to overcome the above key challenge our work has proposed a Dually Operated Control Cupola Furnace which states that constant air blast can be obtained by controlling manually as well as automatic. Manual operation is obtained by maintaining constant Motor-Torque-Speed-Ratio using inverter driven blower along with space vector pulse width modulation. Automatic operation inhabits a feedback control system using nonlinear model predictive controller which is operated on control valve driven blower. Automatic operated cupola furnace obtains a prediction value for obtaining the productivity gain based on number of experimental observations and overall gives the required constant air blast by considering blast volume, blast temperature and oxygen enrichment. Thus our model enhances the system performance by achieving productivity gain in terms of melting rate and super heating temperature.

Title of the Paper: Matlab/Simulink Based Modeling and Simulation of Decoupled Power Control for DFIG Operating in Wind Generation Systems

Authors: Abdellatif Kasbi, Abderrafii Rahali

Pages: 136-150

Abstract: This paper appraises the performances of two control scenarios, for doubly fed induction generator (DFIG) operating in wind generation system (WGS), which are the direct decoupled control (DDC) and indirect decoupled control (IDC). Both control scenarios studied combines vector control and Maximum Power Point Tracking (MPPT) control theory so as to maximize the captured power through wind turbine. Modeling of DFIG based WGS and details of both control scenarios have been presented, a proportional integral controller is employed in the active and reactive power control loops for both control methods. The performance of the both control scenarios in terms of power reference tracking and robustness against machine parameters inconstancy has been shown, analyzed and compared, which can afford a reference to the operators and engineers of a wind farm. All simulations have been implemented via MATLAB/Simulink.

Title of the Paper: Systematic and Robust Air Cleanser for Cleaning a Pollution Caused by the Rocket Stove

Authors: Aashish Umakant Gandigude, Madhva V. Nagarhallib

Pages: 119-135

Abstract: Cooking has become a challenge in areas where the energy access is limited and the single available fuel is wood. Day by day, more people have been reported with respiratory diseases, caused mainly by the smoke that emits carbon monoxide (CO), particular matters (PM) and other highly harmful compounds resulting from the poor combustion generated on the simplest stoves those using fuel wood. Hence an efficient, hot burning Rocket Stove has been deployed with fabric filters in the earlier days. However, the rocket stoves with fabric filter removes the PM content that is also in small amount mean while considering CO, CO2 and other toxics remains same in the emitted gas/smoke. To tackle with these pollution issues, our proposed work innovates a Bi-folded Colander Framework, which combines a Knapsack filter and simulated Carbon with Cellulose Nano fiber filter to purify the exhaust gas/smoke. It is highly sensitive to filter the nano particles as well the toxic compounds exist in the exhaust smoke. Thus our proposed methodology effectively reduces the pollutions with our novel framework and enhances the fuel efficiency of the rocket stove.

Title of the Paper: A Simulation Study for Waiting Line Systems by C Programming

Authors: Ozer Ozdemir

Pages: 115-118

Abstract: Simulation is a method that using especially waiting line systems. In this study, a simulation study has made for waiting line systems by C programming. The particular queue will be a place where customers are waiting for service behind each other. For the purpose of this study, a simulation in C language is created in order to simulate the aforementioned queue system. With this simulation, it is aimed to increase customers’ satisfaction by decreasing service cost, and to increase the quality of service with minimum waiting time. Considering alternative solutions, the optimal system is obtained to ensure economical stability between the interests of the customers and the management.

Title of the Paper: Contribution to the Study of Cutting Temperature and Tool Wear

Authors: M. Bourdim, M. B. Djillali, L. Zouamb, B. Bloul

Pages: 109-114

Abstract: The quality of a machined part strongly depends on the state of wear and the cutting tool. This wear is a major problem in the field of industry. This depends on several factors such as the material to be machined, the cutting tool, the cutting conditions and the machining process. All these factors have the corollary of a significant production of heat at the tool-chip interface. This heat induces accelerated wear of the cutting tool, which considerably limits the performance of the machine tool and is mainly detrimental to both the workpiece and the cutting tool. In this study, the main objective is to contribute to the study of the mechanisms of degradation of the tool by carrying out from an experimental approach based on the techniques of thermocouples located in places studied in order to avoid the influence of parasitic and undesirable parameters such as surface regeneration vibrations, etc. This approach is carried out experimentally by measuring the temperature of the cutting face (friction tool / chip interface). From the results collected during the experiment, we can understand the effects of different turning parameters on the temperature developed on the face of the tool and the appropriate turning conditions to obtain a maximum material removal rate at a lower temperature. The results obtained are represented and analyzed graphically.

Title of the Paper: Influence Structures of The Machine Tools on Roughness in Turning

Authors: N. Kribes, N Ouelaa, M. A. Yallesse, T. Mabrouki, J. F. Rigal

Pages: 103-108

Abstract: The final quality of machining is directly a function of the type of machine used. The geometrical and micro quality geometrical of finished surface are one of the principal goals of machining. During the operation of turning, in particular, the elastic behaviour of the pin controls the surface quality machined. To say that the rigidity of the machine must be largest possible is not sufficient. The design of the axes of movement of the machine must take account of the effects static, kinematics, dynamic of the mass. The rigidity and the conditions of maintenance by the stages must be qualified in comparison with the results sought in term of machined surface quality. To characterize the effect of the vibrations of the machine tools on the quality of the machined surfaces a study was undertaken on two different lathes, a conventional turn and a turn with numerical control. The results of roughness show that the machine tool exploits a great role the machined surface quality. The rigidity of the machine and its capacities damping are prevalent factors to have a good surface quality.To this end the choice of a thing rigid and damping tool is essential for any trial run and any industrial machining in series.

Title of the Paper: Hasty Fault Diagnosis of a Rotating Machinery Hinge on Stalwart Trippy Classifier with Robust Harmonized Swan Machine

Authors: Sumit Kumar Sar, Ramesh Kumar

Pages: 92-102

Abstract: Monitoring with fault diagnosis of machineries are critically important for production efficiency and plant safety in modern enterprises. Along the process of fault diagnosis due to the addition of faulty signals, it is not an easy task to extract the exact representative features from the original signal. Accordingly, for making the vibration signal analysis more effective, there is a need to have the proper faulty feature extraction and moreover to have the proper estimation of spectral density for eminently producing stable decomposition results even if the signal contains missing values. Moreover, there is a difficulty to measure the correlation between the features with the existing fault diagnosis researches and also it considers more learning time as well as memory constraints which makes the learned concept difficult to understand for classifying the faulty features prominently. Thus to commensurate a perfect diagnosis, in this research a “Robust Harmonised Swan Machine (RHSM) with Stalwart Trippy classifier” is formulated in which the iterative estimation of each mode satisfying a self-consistency nature in decomposition method of RHSM which in turn resolves the missing sample problem eminently and aids reinforcement learning precisely which measures the correlation between the features to classify the faulty features extremely thereby it takes only less memory constraint with less learning time.

Title of the Paper: Boiling Pure Fluids at Sub Atmospheric Pressures

Authors: Touhami Baki

Pages: 87-91

Abstract:The study and sizing of sorption machine evaporators are based on the prediction of the heat transfer coefficient at atmospheric pressures, but in the literature we only find correlations modeled from experiments for a wide range of pressure, where the majority of the data are above atmospheric pressure; A review of the experiments of boiling at sub-atmospheric pressures was carried out and compared to four known correlations for three types of fluids, which are water, hydrocarbons and refrigerants; The results obtained showed deviations of the predicted data from the experimental values for three correlations and convincing results for the fourth.

Title of the Paper: Comparison Study Between Neural STSM and ANFIS-STSM Method in DPC Control Scheme of DFIG-based Dual-rotor Wind Turbines

Authors: Benbouhenni Habib, Boudjema Zinelaabidine, Belidi Abdelkader

Pages: 73-86

Abstract: This work presents the comparison study between neural super-twisting sliding mode control (NSTSM) and adaptive-network-based fuzzy inference system-STSM (ANFIS-STSM) algorithm of the doubly fed induction generator (DFIG) controlled by direct power control (DPC). The mathematical model of the three-phase DFIG has been described. The descriptions of the DPC strategy, NSTSM and the ANFIS-STSM algorithm have been presented. The DPC strategy with NSTSM and ANFIS-STSM has been described. The simulation studies of the DPC strategy with intelligent STSM algorithms have been performed, and the results of these studies are presented and discussed.

Title of the Paper: Structure of fuzzy dot BF-subalgebras

Authors: Gerima Tefera, Tigist Fantahun

Pages: 68-72

Abstract: The concept of fuzzy dot BF-subalgebra has been introduced. Fuzzy dot product of BF-subalgebras and strong fuzy product in a fuzzy dot BF-subalgebra has been discused.Different theorems,Lemmas and propositions has been proved. We have also investigated different characterizations.

Title of the Paper: Efficient Method to Fault Identification, Based on Grouping Components, for Industrial Processes

Authors: Luiza Ocheană, Dan Popescu, Luca Ferrarini

Pages: 60-67

Abstract: In this paper we present a novel method for fault identification in Discrete Event Systems, which was developed using the classical diagnoser method. Our goal was to decrease as much as possible the amount of computation that needs to be done to generate a diagnoser and to use it for isolating faults. The proposed method consists in grouping the components of the plant in several types and to generate the plant model, the system model and the diagnoser for the “grouped plant”. In this way the size of the automata is reduced. The method is presented and tested on a loading station in a comparative analysis with the method without grouping.

Title of the Paper: Correction of Shading Effects on DifferentComponents of Solar Radiation

Authors: Hadj Sahraoui Omar, Fizazi Hadria, Chamakhi Djemoui, Berrichi Faouzi, Dif Amar

Pages: 51-59

Abstract: There have been many published articles describingshading effect algorithms for solar irradiation mapping indifferent components, that enabling scientists to gain experiencewith new techniques at low cost.The maps for diffuse, direct and global Solar irradiation havebeen calculated in combination satellite image data (Input data insystem) for a shorter period of one day. structured together usingthe “Inverse distance to a power” interpolation method.The Global and Diffuse irradiation maps were calculated with analgorithm based for correcting shading effects related to theorography estimated in Horizontal Plane and evaluate it on anyinclined plane using the sky brightness and clearness index andthe relative optical attenuation factor of the atmosphericthickness. The Direct irradiation is mapped as the combinationbetween global and diffuse irradiation. The tests of this methodwere carried out on several large sites, and showed good results.

Title of the Paper: Fine Coregistration & Brunch-cut for UnwrappingInterferometric Phase

Authors: Hadj Sahraoui Omar, Berrichi Faouzi, Chamakhi Djemoui

Pages: 44-50

Abstract: Earth observation and environmental control arebecoming more important where the realization of DEM by thetechnique of interferometry of RSO images facilitates thecontrol of terrestrial deformations, which is the subject of thispaper.The unwrapping phase is a very important step in theinterferometry process, especially to treat it carefully in steepdegraded and mountainous ground. We have focused on thereduction and sometimes the elimination of the residues in flatterrains and otherwise to keep the maximum of the residues inthe very steep sites. For this purpose, the methods developedand proposed are based on a transformation by the ISODATAwhich is based on KMEANS and the double passage of themedian filter, and this in order to limit the creation of thebrunch-Cut for the progress of the filtered interferogram(elimination of large black spot on The Brunch-Cut image).Thetests of this method were carried out on several sites, andshowed good results.

Title of the Paper: Mobile Robot Simulation and Navigation in ROS and Gazebo

Authors: Denis Chikurtev

Pages: 38-43

Abstract: mobile robots are entering our daily lives as well as in the industry. Their task is usually associated with carrying out transportation. This leads to the need to perform autonomous movement of mobile robots. On the other hand, modern practice is that the planning of most processes is done through simulations. Thus, various future production problems can be anticipated and remedied or improved. The article describes the creation of a mobile robot model in the Gazebo simulation environment. Specific settings and features for running a mobile robot in autonomous navigation mode under the robot operating system are presented. The steps for creating a map, localization and navigation are presented. Experiments have been conducted to optimize and tune the parameters of both the robot model itself and the simulation control parameters.

Title of the Paper: Some of the Most Common Copulas for Simulating Complex Survival Data

Pages: 28-37

Abstract: Simulation studies play an importantrole in the evaluation of the performance of avariety of statistical methods. Such assessment isperformed under computer intensive proceduresand cannot be achieved with studies of real dataalone. These studies are increasingly employed inevaluating the properties of the proposed methodsbeing the generation of data the most fundamentaland important component. However,only a few of published studies provide sufficientdetails to allow readers to understand fully allthe processes to generate the data. In this paperwe present a collection of practical algorithms forsimulating multivariate data from a wide class ofmultivariate copulas. This paper also details importantconsiderations necessary when generatingthe survival data in a variety of scenarios. Asoftware application for R was developed in whichwe implement all the methods.

Title of the Paper: On the Correctness of One Model of the Stefan-Type Filtration Theory

Authors: Mukhambetzhanov S.Т., Zhanuzakova

Pages: 19-27

Abstract: In this paper a mathematical model of filtration theory with phase transitions is investigated. When using surface-active substances (surfactants) for the development of oil and gas fields in the reservoir occur sorption processes at the interfaces of individual phases (surfactants and oil, or surfactants and soil). In real processes, a finite time is required for achievement equilibrium. Therefore considering the mathematical model was called the mathematical model with phase relaxation. The solvability of the mathematical model, the limiting transition in relaxation time are investigated. It is proved that in the limiting case, the original problem is a problem of Stefan type.

Title of the Paper: Prediction of Solutions of Arithmetic and Logical Operations on the Basis of the Mathematical Model of Cognitive Digital Automata

Authors: Valeriy Kozhevnikov, Victor Prikhodko

Pages: 16-18

Abstract: An approach to the problem of solution prediction of arithmetic and logical operations on the basis of the mathematical model of cognitive digital automata (CDA) is proposed. A particular advantage of the proposed approach is that the training procedure can be performed on limited (minimum) training sets. Prediction or generation of solutions is performed on the basis of the mathematical model of CDA which is formed in the course of training. As a testbed for the approach, the modeling of an n-bit parallel adder was implemented. The mathematical model of the adder was formed, which made it possible to reproduce the entire truth table for the n-bit parallel adder. The results obtained could be useful as an alternative solution to a number of problems known for conventional feed-forward neural networks, e.g. on-the-fly learning and catastrophic forgetting.

Title of the Paper: Real Time Implementation of SIGN LMS Adaptive Filters using Xilinx System Generator

Authors: Anand R, Veni S

Pages: 8-15

Abstract: Sign Least Mean Square (SLMS) adaptive filter can adapt dynamically based on corresponding filter output. One of the major applications of adaptive filter is Noise cancellation. In real time applications like medical computing, speed of the process developing hardware is essential hence the hardware realization of SLMS adaptive filter using Xilinx System generator is proposed in this work. The propose architecture aims to reduce convergence rate, path delay and increasing speed. In this work (i) Modified architecture is designed for a 8-tap SLMS adaptive filter and (ii) multiplier less structure for Modified DLMS Filter. The designed architecture tested for ECG signal. The functionality of the algorithm is verified in MATLAB with various ECG data from the MIT-BIH database as input. Both LMS and SLMS are designed, simulated, synthesized and implemented in Virtex-5 FPGA using Xilnix ISE 14.3 . The result shows 5% decrease in total real time router completion and also decrease in the number of adders and subtractors, the maximum combinational path delay has been reduced by 48.84% in Systolic Sign LMS Filter when compared to LMS Filter.

Title of the Paper: Identification and Removal of Non-acoustic Noise in Towed Array Sonar Using F-Κ Transform for Enhanced Torpedo Detection

Authors: Jomon George, Baiju M Nair, T. Santhanakrishnan

Pages: 1-6

Abstract: Low frequency passive towed array sonar is an essential component in a torpedo detection system for surface ships. Compact towed arrays are used for torpedo detection and they will be towed at higher towing speeds compared to conventional towed array sonars used for surveillance. Presence of non-acoustic noise in towed array sensors at higher towing speeds degrades torpedo detection capability at lower frequencies. High wavenumber mechanical vibrations are induced in the array by vortex shedding associated with hydrodynamic flow over the array body and cable scope. These vibrations are known to couple into the hydrophone array as nonacoustic noise sources and can impair acoustic detection performance, particularly in the forward end fire direction. Lengthy mechanical vibration isolation modules can isolate vibration induced noise in towed arrays, but this is not recommended in a towed array which is towed at high speeds as it will increase the drag and system complexity. An algorithm for decomposing acoustic and non-acoustic components of signals received at sensor level using well known frequency-wavenumber transform (F-K transform) is presented here. Frequency-wavenumber diagrams can be used for differentiating between acoustic and non-acoustic signals. An area of V shape is identified within the F-K spectrum where acoustic energy is confined. Energy outside this V will highlight non-acoustic energy. Enhanced simultaneous spatio-temporal and spatio-amplitude detection is possible with this algorithm. Performance of this algorithm is validated through simulation and experimental data.