International Journal of Mathematics and Computers in Simulation

  
E-ISSN: 1998-0159
Volume 15, 2021

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.

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Volume 15, 2021

Title of the Paper:  The Rotational Motion Simulation of AIST Small Spacecraft Prototype Based on Current Values From Solar Battery Panels and on a Hardware-software Stand

 

Authors:  Andry Sedelnikov, Sergey Safronov, Ekaterina Khnyryova

Pages: 165-168

DOI: 10.46300/9102.2021.15.30     XML

Abstract: The functioning of space technique is associated with remote maintenance of operable state of onboard systems and software. If an element fails, problems arise in analyzing the state, ascertaining the reasons for the failure and restoring the element functional using available hardware-in-the-loop and algorithmic tools. The paper concentrates on currents analysis from solar battery panels of AIST small spacecraft in order to evaluate the parameters of the satellite's rotational motion after a significant break-down of the electrical battery. At the same time, the scientific equipment and onboard measurement instruments proved to be practically inoperative due to the lack of power supply. After the break-down of the electrical battery, magnetorquers and measurement instruments could not perform their function. A backup orientation system was not provided. The raw data for estimating the angular velocity vector was the current values from solar battery panels. However, in order to obtain an acceptable estimate of the angular velocity vector, more accurate current measurements are required than it implemented onboard the small spacecraft. To simulate the small spacecraft rotational motion and compare results with estimates obtained from telemetric data analysis, HIL US-03 hardware-software stand for simulation of the small spacecraft systems was used.

Title of the Paper:  Topology Structure Analysis of High Dimensional Dataset by Flattening Deformation of Data Manifold

 

Authors:  Xiaodong Zhuang, Nikos E. Mastorakis

Pages: 161-164

DOI: 10.46300/9102.2021.15.29     XML

Abstract: A new analysis method for high dimensional sets is proposed by autonomous deforming of data manifolds. The deformation is guided by two kinds of virtual interactions between data points. The flattening of data manifold is achieved under the elastic and repelling interactions, meanwhile the topological structure of the manifold is preserved. The proposed method provides a novel geometric viewpoint on high-dimensional data analysis. Experimental results prove the effectiveness of the proposed method in dataset structure analysis.

Title of the Paper:  An Innovative Security Screening Architecture for Detecting Illicit Goods and Threats

 

Authors:  Athanasios Skraparlis, Klimis Ntalianis, Dimitris Kouremenos, Nikolaos Mastorakis

Pages: 153-160

DOI: 10.46300/9102.2021.15.28     XML

Abstract: Every year, millions of letters/parcels containing illicit goods are detected by customs authorities, which use traditional security screening equipment. However this equipment cannot detect all kinds of illicit goods and the detection procedure heavily depends on the attention of the customs officer. In order to achieve sufficiently fast intelligent screening of the large volumes of letters/parcels and detect all common kinds of threats, this paper proposes a highly innovative architecture well-beyond the state-of–art. In particular the proposed architecture monitors every letter/parcel by incorporating: (a) terahertz/X-ray sensors, (b) chemical, biological, radiological and nuclear (CBNR) sensors, (c) artificial robot-noses for narcotics, explosives etc., (d) magnetometers for weapons, firearms, banknotes etc., (e) acoustic sensors for liquids/gases/solids, (f) weight/pressure sensors to measure weight distribution, size and shape. Sensory information can be: (a) used to create a “Spectral Signatures Dictionary of Illicit Goods and Threats”, (b) fused to segment/isolate illicit goods and (c) visualized in the form of annotated high-resolution tensor-structured (3D/4D) multisensory image data. The proposed solution also gathers available information for the sender/recipient from various resources, while it also analyzes data from the dark web. All information is forwarded to an AI-based knowledge infrastructure.

Title of the Paper:  An New Efficient Cluster Based Detection Mechanisms for Distributed Denial of Services (DDoS) Attacks

 

Authors:  K. Saravanan, R. Asokan

Pages: 147-152

DOI: 10.46300/9102.2021.15.27     XML

Abstract: Cluster aggregation of statistical anomaly detection is a mechanism for defending against denial of service attack (dos) and distributed denial-of-service (DDoS) attacks. DDoS attacks are treated as a congestioncontrol problem; because most of the congestion is occurred in the malicious hosts not follow the normal endto- end congestion control. Upstream routers are also notified to drop such packets in order that the router’s resources are used to route legitimate traffic hence term cluster aggregation. If the victim suspects that the cluster aggregations are solved by most of the clients, it increases the complexity of the cluster aggregation. This aggregation solving technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the destination. In this proposal, the aggregation solving mechanism is cluster aggregation to the core routers rather than having at the victim. The router based cluster aggregation mechanism checks the host system whether it is legitimate or not by providing a aggregation to be solved by the suspected host.

Title of the Paper: System Architecture of Unobtrusive Sensors for Supporting Home Care and Independet Living

 

Authors:  Cvetko Pirš, Boris Cigale, Damjan Zazula, Dejan Usar

Pages: 141-146

DOI: 10.46300/9102.2021.15.26     XML

Abstract: The paper deals with an implementation of unobtrusive sensors installed in home environment for continuous monitoring of functional-health parameters of the observed persons. A multi-tier architecture links sensory devices through sensor-data concentrators to a home server. Automated sensory measurements are supported by a concept of sensoractivated events, event-driven data transmission and processing by a dedicated application interface. Its logic and data structures are revealed. Examples of three typical execution scenarios are given and a short description depicts clinical installation of proposed system for testing purposes.

Title of the Paper:  Intelligent Pitch Controller Identification and Design

 

Authors:  Amir Torabi, Amin Adine Ahari, Ali Karsaz, Seyyed Hossin Kazemi

Pages: 134-140

DOI: 10.46300/9102.2021.15.25     XML

Abstract: This paper exhibits a comparative assessmentbased on time response specification performance between modern and classical controller for a pitch control system of an aircraft system. The dynamic modeling of pitch control system is considered on the design of an autopilot that controls the pitch angle It starts with a derivation of a suitable mathematical model to describe the dynamics of an aircraft. For getting close to actual conditionsthe white noise disturbance is applied to the system.In this paper it is assumed that the modelpitch control systemis not available. So using the identification system and Box-Jenkins model estimator we identify the pitch control system System’s identification is a procedure for accurately characterizing the dynamic response behavior of a complete aircraft, of a subsystem, or of an individual component from measureddata.To study the effectiveness of the controllers, the LQR Controller and PID Controller and fuzzy controller is developed for controlling the pitch angle of an aircraft system. Simulation results for the response of pitch controller are presented instep’s response. Finally, the performances of pitch control systems are investigated and analyzed based on common criteria of step’s response in order to identify which control strategy delivers better performance with respect to the desired pitch angle. It is found from simulation, that the fuzzy controller gives the best performance compared to PID and LQR controller.

Title of the Paper:  The Generalised Plug-in Algorithm for the Diffeomorphism Kernel Estimate

 

Authors:  Molka Troudi, Faouzi Ghorbel

Pages: 128-133

DOI: 10.46300/9102.2021.15.24     XML

Abstract: The optimal value of the smoothing parameter of the Kernel estimator can be obtained by the well known Plug-in algorithm. The optimality is realised in the sense of Mean Integrated Square Error (MISE). In this paper, we propose to generalise this algorithm to the case of the difficult problem of the estimation of a distribution which has a bounded support. The proposed algorithm consists in searching the optimal smoothing parameter by iterations from the expression of MISE of the kernel-diffeomorphism estimator. By some simulations applied to some distribution having a support bounded and semi bounded, we show that the support of the pdf estimator respects the one of the theoretical distribution. We also prove that the proposed method minimizes the Gibbs phenomenon.

Title of the Paper:  Pid Controller Design for Multiple Time Delays System

 

Authors:  Asma Karoui, Rihem Farkh, Moufida Ksouri

Pages: 121-127

DOI: 10.46300/9102.2021.15.23     XML

Abstract: This paper presents an approach of stabilization and control of time invariant linear system of an arbitrary order that include several time delays. In this work, the stability is ensured by PI, PD and PID controller. The method is analytical and needs the knowledge of transfer function parameters of the plant. It permits to find stability region by the determination of p K , i K and d K gains.

Title of the Paper: The Use of Starch Matrix-banana Fiber Composites for Biodegradable Maxillofacial Bone Plates

 

Authors: Lamis R. Darwish, Mohamed Tarek El-Wakad, Mahmoud Farag, Mohamed Emara

Pages: 115-120

DOI: 10.46300/9102.2021.15.22     XML

Abstract: Starch based green composites have been studied as potential materials to be used in several biomedical applications. This paper explores utilizing starch based composites reinforced with pseudostem banana fibers in fabricating biodegradable maxillofacial bone plates. Corn starch plasticized by 30 wt.% glycerin and 20 wt.% distilled water was used as a matrix. The produced thermoplastic starch (TPS) matrix is reinforced with pseudostem banana fibers at different weight fractions using hot pressing at 5 MPa and 160ºC for 30 minutes. Our experimental results showed that increasing the banana fibers weight fraction progressively improved the mechanical properties reaching a maximum at 50 wt.% fibers. The improvement in the mechanical properties of starch/banana fibers composite was attributable to the strong interaction between fibers and the starch matrix, as evidenced by a series of scanning electron micrographs of the fracture surface. Furthermore, experiments investigating thermal properties and water uptake also showed that the best results are achieved at the 50 wt.% banana fibers. The experimental results show that the starch matrix-banana fiber composites satisfy the maxillofacial bone fixation requirements.

Title of the Paper:  Voice Pathologies Classification Using GMM And SVM Classifiers

 

Authors:  Amara Fethi, Fezari Mohamed

Pages: 110-114

DOI: 10.46300/9102.2021.15.21     XML

Abstract: In this paper we investigate the proprieties of automatic speaker recognition (ASR) to develop a system for voice pathologies detection, where the model does not correspond to a speaker but it corresponds to group of patients who shares the same diagnostic. One of essential part in this topic is the database (described later), the samples voices (healthy and pathological) are chosen from a German database which contains many diseases, spasmodic dysphonia is proposed for this study. This problematic can be solved by statistical pattern recognition techniques where we have proposed the mel frequency cepstral coefficients (MFCC) to be modeled first, with gaussian mixture model (GMM) massively used in ASR then, they are modeled with support vector machine (SVM). The obtained results are compared in order to evaluate the more preferment classifier. The performance of each method is evaluated in a term of the accuracy, sensitivity, specificity. The best performance is obtained with 12 coefficientsMFCC, energy and second derivate along SVM with a polynomial kernel function, the classification rate is 90% for normal class and 93% for pathological class.This work is developed under MATLAB

Title of the Paper:  Feasibility of the C60 Fullerene Antioxidant Properties: Study with Density Functional Theory Computer Modeling

 

Authors:  V.A. Chistyakov, Yu.O. Smirnova, I. Alperovich

Pages: 107-109

DOI: 10.46300/9102.2021.15.20     XML

Abstract: Fullerene C60 compound was recently found to be a potent anti-oxidant, which may be envisioned as a result of alteration of the inner mitohondria membrane electric potential with protons transport boosted by fullerenes. Here we briefly report on the theoretical test of the very possibility of protons to pass through the surface of C60 fullerene to become confined within latter thus possibly decreasing the transmembrane electric field gradient when fullerene crosses the mitochondria membrane. Quantumchemical calculations within Density Functional Theory are employed as a means of checking described scenario

Title of the Paper:  Carbonic Anhydrase as CO2 capturing agent: its Classes and Catalytic Mechanisms

 

Authors:  Bashistha Kumar Kanth, Seung Pil Pack

Pages: 102-106

DOI: 10.46300/9102.2021.15.19     XML

Abstract: Carbonic anhydrase (CA; EC 4.2.4.1), metalloenzyme, can catalyze reversible hydration of CO2 (CO2 + H2O ↔ H+ + HCO3 -) with high efficiency (kcat ~106 s-1) and plays fundamental roles in many biological processes like photosynthesis, respiration, pH homeostasis and ion transport. Recently, CA has been considered as an important biocatalyst for CO2 sequestration technology because the accumulation of CO2 is the main cause for global climate change and it is critical to develop technologies that can reduce atmospheric CO2 level. This review deals with the classes and mechanisms of several CAs as CO2 capture agents

Title of the Paper:  Development of a System for Measurement on Asymmetric Sitting Posture

 

Authors:  Ji-Yong Jung, Yonggwon Won, In-Sik Park, Tae-Kyu Kwon, Jung-Ja Kim

Pages: 97-101

DOI: 10.46300/9102.2021.15.18     XML

Abstract: Sitting posture measurement system using the unstable board with accelerometer was developed. And, postural balance was assessed to determine the effect of asymmetry on sitting posture between patients with pelvic asymmetry and healthy subjects. 10 subjects (pelvic asymmetry patients:5, healthy controls:5) were participated in this study. We performed experiment under static and dynamic sitting condition. Angular variation in the anterior-posterior and left-right direction was measured in both two conditions. Also, intra class correlation coefficient was used to evaluate the reliability of the system. The value of angle of pelvic asymmetry patients was more tilted significantly to the left side than right side during static and dynamic sitting. The reliability of the system was excellent. This paper suggested that a system for measurement on asymmetric sitting posture can be utilized to provide useful information about patients with pelvic asymmetry in rehabilitation medicine. Furthermore, results from this study can be used to develop the new clinical quantitative measurement system.

Title of the Paper:  Control of Upper Limb Active Prosthesis Using Surface Electromyography

 

Authors:  Muhammad Asim Waris, Mohsin Jamil, Syed Omer Gilani, Yasar Ayaz

Pages: 92-96

DOI: 10.46300/9102.2021.15.17     XML

Abstract: Electromyographic prosthesis with higher degrees of freedom is an expanding area of research. In this paper, active prosthesis with four degrees of freedom has been investigated, which can be used to fit a limb with amputation below elbow. The system comprises of multichannel inputs which correspond to the flexion and extension as well as supination and pronation. To find maximum surface neural activity, accurate placement of electrodes has been carried out on 10 subjects aged between 22-30 years. Signals (0-500 hertz) acquired from contracting voluntary muscles with minimum cross talk and common mode noise. Clean filtered EMG signal is then amplified precisely. Finally digitization is being done to drive bionic hand. Practical demonstration on a simple DC motor proved providential using this method for the two motions of an actual human arm. EMG Signals emanating from muscles dedicated to individual fingers have been recorded. Moreover modern classifiers; KNN and NN have been investigated carefully with selected features through different time and noise levels.

Title of the Paper:  Finite Element Analysis of the Lower Extrtemity - Hinge Knee Behavior Under Dynamic Load

 

Authors:  L. Zach, S. Konvickova, P. Ruzicka

Pages: 89-91

DOI: 10.46300/9102.2021.15.16     XML

Abstract: A key goal of joint endoprosthesis is to become a full-featured functional and anatomical replacement. The joint damage may occur for several reasons - primarily a disease of different nature and magnitude, resulting in gradual and irreversible changes and in an extreme solution in the implantation of artificial joints. However, there should be also mentioned accidents leading to joint destruction, which are often "trigger mechanism" of the disease. This work therefore presents a dynamic computational finite element analysis of a hinge-type knee replacement, which aim to streamline and accelerate the development of knee endoprosthesis. It tackles a question of the overall strength of the implant and detects sites of elevated concentrations of stresses that may be potential sources of implant damages. It also studies the behavior of the endoprosthesis under dynamic loads with emphasis on the study of the shape and size of the contact surfaces, which are closely related to the size of the contact pressure and material wear. Aside the hinged knee replacement, the computational model consisted of femur, fibula, tibia, patella and 25 most important muscles of the lower limb. Due to realistic definition of the boundary conditions, this model is suitable for investigation of invivo knee joint replacement behavior.

Title of the Paper:  Reconstruction of High-Resolution Computed Tomography Image in Sinogram Space

 

Authors:  Osama A. Omer

Pages: 84-88

DOI: 10.46300/9102.2021.15.15     XML

Abstract: An important part of any computed tomography (CT) system is the reconstruction method, which transforms the measured data into images. Reconstruction methods for CT can be either analytical or iterative. The analytical methods can be exact, by exact projector inversion, or non-exact based on Back projection (BP). The BP methods are attractive because of thier simplicity and low computational cost. But they produce suboptimal images with respect to artifacts, resolution, and noise. This paper deals with improve of the image quality of BP by using super-resolution technique. Super-resolution can be beneficial in improving the image quality of many medical imaging systems without the need for significant hardware alternation. In this paper, we propose to reconstruct a high-resolution image from the measured signals in Sinogram space instead of reconstructing low-resolution images and then post-process these images to get higher resolution image.

Title of the Paper:  Image Representation Method Based on Complex Wavelet Transform and Phase Congruency, with Automatic Threshold Selection

 

Authors:  Arathi T, Latha Parameswaran

Pages: 79-83

DOI: 10.46300/9102.2021.15.14     XML

Abstract: Image representation is an active area of research with increasing applications in military and defense. Image representation aims at representing an image with lesser number of coefficients than the actual image, without affecting the image quality. It is the first step in image compression. Once the image is represented by using some set of coefficients, it is further encoded using various compression algorithms. This paper proposes an adaptive method for image representation, which uses Complex Wavelet transform and the concept of phase congruency, where the number of coefficients used for image representation depends on the information content in the input image. The efficiency of the proposed method has been assessed by comparing the number of coefficients used to represent the image using the proposed method with that used when Complex Wavelet transform is used for image representation. The resultant image quality is determined by computing the PSNR values and Normalized Cross Correlation. Experiments carried out show highly promising results, in terms of the reduction in the number of coefficients used for image representation and the quality of the resultant image.

Title of the Paper:  An Analysis of Network Structure in Mazda’s Yokokai using the DEC Spatial Model

 

Authors:  T. Ito, S. Tagawa, S. Matsuno, Y. Uchida, Rajiv Mehta, Makoto Sakamoto, Satoshi Ikeda

Pages: 74-78

DOI: 10.46300/9102.2021.15.13     XML

Abstract: By examining networks is possible to understand the nature of inter-firm relationships among organizational entities in any given corporate group, such as Toyota’s, Nissan’s or Mazda’s Keiretsu. Recently, a new three-dimensional spatial model has been developed that allows organizational scholars to ascertain the structure of a corporate group, the position of the individual firms, and the determinants of the firm performance. This new spatial paradigm –called the DEC spatial model– composed of degree, effective size and capacity that assessed the relationship between Euclidean distance and sales. Although it advances our understanding of networks, the bulk of the research is based on cross-sectional data, it is not possible ascertain the real nature of the relationship between the distance and sales. Instead, the analysis of networks requires using time series data as all the corporate members of a network are ongoing- concerns. To augment our understanding of the nature of inter-firms networks, the interrelationship between distance and sales is examined using time series data drawn from Mazda’s Yokokai in 1986, 2004 and 2005. More specifically, in this paper the data on transactions were collected and used to calculate the Euclidean distance using the DEC spatial model. The position and its determinants of all individual firms are identified and the trend of structure changes is discussed. Based on the findings of offered and avenues of future research are suggested.

Title of the Paper:  Importance of University Social Media Communications in Czech Republic

 

Authors:  Radomila Soukalová, Jiří Ježek

Pages: 67-73

DOI: 10.46300/9102.2021.15.12     XML

Abstract: This article currently focuses on the problems of university communications with target groups in the Czech Republic. This issue has been chosen with respect to the ongoing demographic crisis causing a decrease in the number of prospective university applicants. The topic reflects new trends in effective communication of university, i.e. social media communications and concentrates on prospective university applicants. The presented study introduces the results of sub-analyses carried out within selected Czech universities. The sub-analyses dealt with the problems of university social media profiles and their conceptuality, approach of individual universities towards profile administration and the importance of involving fans into communications on Czech university profiles. The necessary data have been gained using both primary and secondary research as well as with help of social media monitoring by Newton Media. The study concludes with the identification of common and different attributes of Czech universities´ social media communications and with suggestions as to how to make these communications more effective.

Title of the Paper:  Methodology for Measuring the Impact of the Privacy Protection Law on the Use of Big Data

 

Authors:  Oh Ky U-cheol

Pages: 62-66

DOI: 10.46300/9102.2021.15.11     XML

Abstract: The ICT revolution triggered by the emergence of smart devices, typically represented by the iPhone and the iPad, is migrating into the new domain of ‘big data’ after passing the turning point of ‘SNS Life,’ which is represented by Twitter and FaceBook among others. These developments have brought significant changes in all areas of politics, economy and culture. The stock prices of Apple, Samsung Electronics, FaceBook and Google fluctuate depending on who takes the hegemony in the changes. Meanwhile, such a reform of the ICT sector has generated some new undesirable sideeffects, including online disclosure of personal information, malicious comments, Smishing or other forms of financial scams. As we cannot abandon either big data or privacy protection, it is critical to find a compromise. It seems both evident and selfexplanatory that the use of big data, which is attributable to technical innovation, conflicts with privacy protection based on the idea that individuals should be allowed to determine the disclosure or not of their personal information. Yet, the problem here is that the discussion of countermeasures remains at the level of catching the wind with a net. Therefore, this paper intends to present a framework that can objectively verify what impact the enhanced legal regulation concerning privacy protection has on the use of big data as the first step in exploring a compromise between the use of big data and privacy protection.

Title of the Paper: Mathematical Tools to Understand the Field Theories of the Standard Model and Beyond

 

Authors: Philippe Durand

Pages: 54-61

DOI: 10.46300/9102.2021.15.10     XML

Abstract: Since Isaac Newton the understanding of the physical world is more and more complex. The Euclidean space of three dimensions , independent of time is replaced in Enstein’s vision by the Lorentzian space-time at first, then by four dimensions manifold to unify space and matter. String theorists add to space more dimensions to make their theory consistent. Complex topological invariants which characterize different kind of spaces are developed. Space is discretized at the quantum scale in the loop quantum gravity theory. A non-commutative and spectral geometry is defined from the theory of operator algebra by Alain Connes. In this review, our goal is to enumerate different approaches implementing algebra and topology in order to understand the standard model of particles and beyond

Title of the Paper: Energy Efficiency of LVDC Supplies Including PV Sources

 

Authors: Anis Ammous, Abdulrahman Alahdal, Kaiçar Ammous

Pages: 46-53

DOI: 10.46300/9102.2021.15.9     XML

Abstract: The Low Voltage Direct Current (LVDC) system concept has been growing in the recent times due to its characteristics and advantages like renewable energy source compatibility, more straightforward integration with storage utilities through power electronic converters and distributed loads. This paper presents the energy efficiency performances of a proposed LVDC supply concept and others classical PV chains architectures. A PV source was considered in the studied nanogrids. The notion of Relative Saved Energy (RSE) was introduced to compare the studied PV systems energy performances. The obtained results revealed that the employment of the LVDC chain supply concept is very interesting and the use of DC loads as an alternative to AC loads, when a PV power is generated locally, is more efficient. The installed PV power source in the building should be well sized regarding to the consumed power in order to register a high system RSE.

Title of the Paper: A Broadband High-Gain Printed Antenna Array using Dipole and Loop Patches for 5G Communication Systems

 

Authors: Yuanzhi Liu, Mustapha C. E. Yagoub

Pages: 42-45

DOI: 10.46300/9102.2021.15.8     XML

Abstract: A broadband and high-gain printed antenna array is presented in this paper. Its single antenna element consists of a loop and two symmetric dipole patches, making the element exhibiting broad impedance bandwidth and improved gain at the targeted frequency, which is 28 GHz, one of the 5G mm-wave band, for this design. An 8×3 antenna array fed by a microstrip line feed network was designed and simulated. With a compact size of 98×32.5 mm2, the array presents a broad -10 dB impedance bandwidth of 6.8 GHz (24.3%) and a high gain of 18 dBi at 28 GHz. Besides, the single-layered array also features low profile, simple geometry, and low cost, making it a good candidate for 5G communication systems.

Title of the Paper: m-ark-Support Vector Machine for Early Detection of Parkinson’s Disease from Speech Signals

 

Authors: Luca Parisi, Amir Zaernia, Renfei Ma, Mansour Youseffi

Pages: 34-41

DOI: 10.46300/9102.2021.15.7     XML

Abstract: Recent advances in the state-of-the-art open-source kernel functions for support vector machines (SVMs) have widened the choices of benchmark kernels for Machine Learning (ML)-based classification. However, it is still challenging to achieve margin maximisation in SVM, and further evidence is required to ensure such novel kernel functions can have translational applications with tangible impact. Noteworthily, m-arcsinh, freely available in scikit-learn, was preliminarily proven as a benchmark kernel function on 15 datasets in its seminal paper. Quantifying the benefit from leveraging this kernel in a specific application is essential to provide further evidence of its accuracy and reliability on real-life supervised ML-aided tasks. Thus, the predictive capability of SVM, including that with Lagrange multipliers for the first time coupled with m-arcsinh (m-ark-SVM with soft margin; m-arK-SVM with hard margin), is hereby assessed in aiding early detection of Parkinson’s Disease (PD) from speech data. This is important to leverage the m-arcsinh kernel ‘trick’ to maximise the margin width and, therefore, the linear separability of input speech features via automated pattern recognition. In this study, we demonstrate the accuracy and reliability of m-ark-SVM to aid early diagnosis of PD, evaluated against other gold standard kernel functions. Two benchmark datasets from the University of California-Irvine (UCI) database, pre-processed solely via min-max normalisation, were used to discriminate between speech patterns of 72 healthy subjects and 211 patients with PD. Overtraining was avoided via cross validation and the models were developed and tested in Python 3.7. The supervised model (m-ark-SVM) could detect early Parkinson’s Disease with 87.18% and 86.9% classification accuracy from the two datasets respectively (F1- scores: 85 and 86.2% correspondingly). Furthermore, the model achieved high precision (89.2% and 86.8%) and specificity (87% and 86.8%). Thus, this study validates the application of m-arcsinh to aid real-life supervised ML-based classification, in particular early diagnosis of Parkinson’s Disease from speech data.

Title of the Paper: Wind Turbine Control based on MRAS Methodology

 

Authors: A. G. Aissaoui, A. Tahour, I. Colak, N. Essounbouli, M. Abid

Pages: 27-33

DOI: 10.46300/9102.2021.15.6     XML

Abstract: The use of renewable energies has increased in these last decades. The wind energy attracts more attention of several research studies. The control of the power generated by the wind turbine is very complicated. It requires the application of new techniques of control. This paper presents an application of Model reference adaptive system (MRAS) in the control of wind turbine power. The structure of the proposed MRAS consists of Neuro fuzzy (NF) controller and an adaptive system based on sliding mode controller (SMC). The use of NF and SMC methodologies is very interest and it allows improving the performances of the system control. The NF has the advantages of expert knowledge of the fuzzy inference system and the learning capabilities of neural networks. The use of SMC gives more flexibility to the adaptive system. According to digital simulation results, the designed MRAS-NF-SMC controller provides a good dynamic behaviour, and an excellent tracking of the requested trajectory

Title of the Paper: On Symmetry, Lie Symmetry and Curved Path Particle Motion: A Case for Hydrogen

 

Authors: JM Manale

Pages: 24-26

DOI: 10.46300/9102.2021.15.5     XML

Abstract: We divert from popular practice by describing a motion of a macroscopic body, a hydrogen atom in this case, through quantum mechanics. What we realise is that a body can follow a curved path, without any external force acting on it, which is in contrast to Newtonian mechanics. To test the idea, we determine a formula for G, the universal gravitational constant.

Title of the Paper: The Notion of Stability of a Differential Equation and Delay Differential Equation Model of HIV Infection of CD4+ T-Cells

 

Authors: Normah Maan, Izaz Ullah Khan, Nor Atirah Izzah Zulkefli

Pages: 20-23

DOI: 10.46300/9102.2021.15.4     XML

Abstract: This research presents a deep insight to address the notion of stability of an epidemical model of the HIV infection of CD4+ T-Cells. Initially, the stability of an ordinary differential equation (ODE) model is studied. This is followed by studying a delay differential equation (DDE) model the HIV infection of CD4+ T-Cells. The available literature on the stability analysis of the ODE model and the DDE model of the CD4+ T-Cells shows that the stability of the models depends on the basic reproduction number “R0”. Accordingly, for the basic reproduction number R0 <1, the model is asymptotically stable, whereas, for R0 >1, the models are globally stable. This research further studies the stability of the models and address the lower possible stability limits for the infection rate of CD4+ T-Cells with virus and the reproduction rate of infectious CD4+ T-Cells, respectively. Accordingly, the results shows that the lower possible limits for the infection rate of CD4+ T-Cells with virus are 0.0000027 mm-3 and 0.000066 mm-3 for the ODE and DDE models, respectively. Again, the lower stability limits for the reproduction rate of infectious CD4+ T-Cells with virus are 12 mm3day-1 and 273.4 mm3day-1 for the ODE and DDE models, respectively. The research minutely studies the stability of the models and gives a deep insight of the stability of the ODE and DDE models of the HIV infection of CD4+ T-Cells with virus.

Title of the Paper: Numerical Investigation of Thermal Stability of Catalyst Granules with Internal Heat Generation in a Random Temperature Field

 

Authors: Igor Derevich, Daria Galdina

Pages: 14-19

DOI: 10.46300/9102.2021.15.3     XML

Abstract: Method for numerical simulation of temperature of granules with internal heat release in a medium with random temperature fluctuations it is proposed. The method utilized solution of a system of ordinary stochastic differential equations describing temperature fluctuations of surrounding and granules. Autocorrelation function of temperature fluctuations has a finite decay time. The suggested method is verified by the comparison with exact analytical results. Random temperature behavior of a granule with internal heat release qualitatively differs from the results obtained in the deterministic approach. Mean first passage time of granules temperature intersects critical temperature is estimated at different regime parameters.

Title of the Paper: New Convergence Theorems for Maximal Monotone Operators in Banach Spaces  

 

Authors: Siwaporn Saewan

Pages: 8-13

DOI: 10.46300/9102.2021.15.2     XML

Abstract: The purpose of this paper is to introduce a new hybrid iterative scheme for resolvents of maximal monotone operators in Banach spaces by using the notion of generalized f- projection. Next, we apply this result to the convex minimization and variational inequality problems in Banach spaces. The results presented in this paper improve and extend important recent results in the literature.

Title of the Paper: Web Intelligent for Forecasting Exchange Rate Currency using Clever Extraction Agent Combine with Financial Data Mining

 

Authors: Khammapun Khantanapoka

Pages: 1-7

DOI: 10.46300/9102.2021.15.1     XML

Abstract: From the current economic climate results in fluctuations of currency exchange rates in all countries. Since the most countries use USD as the reference exchange rate. The exchange rate will change from day to day so variety of factors which affect the exchange rate forecasting in the exchange rates in advance are critical to evaluate for the impact of the economic system of each country. It is important for investment decisions, exports, and profitability in the money market. It was reported on website (www) in the daily exchange rate changes. We use clever search agent (CSA) gather information from financial website generate to financial data mining. Kohonen Neural Networks is the method to determine similarity of internet documents using pattern index of financial document. And Ontology Structure of Sentence is the method to determine keyword using pattern index of financial content. Both are important components of Financial Data Mining. It is analyzed for exchange rate forecasting about USD/ Pounds. Our experimental forecast exchange rates for currency's USD / Great Britain Pounds by compare three algorithms as fallows GA, Meiosis Genetic Algorithms (MGA). This research propose new algorithm is called Dash Predator Swarm Optimization (DP2SO) which are accurate in prediction than other methods in generation of Genetic algorithm (GA) 35.83-41.52% which it depend on the accuracy of the information in each factor which are important finance dataset. It will present the future trends of exchange rate to the individual website.