Forthcoming and Online First Articles

International Journal of Engineering Systems Modelling and Simulation

International Journal of Engineering Systems Modelling and Simulation (IJESMS)

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International Journal of Engineering Systems Modelling and Simulation (26 papers in press)

Regular Issues

  • Design and experimental analysis of novel window mill vertical axis wind turbine   Order a copy of this article
    by N. Suthanthira Vanitha, L. Manivannan, A. Karthikeyan, K. Radhika, T. Meenakshi 
    Abstract: A novel window mill vertical axis wind turbine (VAWT) is introduced to utilise the maximum wind power to produce the electricity. The novel design improves the conversion ratio by overcoming the pressure imbalance on the existing blade design with maximum utilisation of wind energy and is capable of generating power which is three times greater than the existing windmill design. The proposed window mill is enveloped by metal case with subways and huge walls on both sides to run the turbine even during low wind head for ensuring higher efficiency than existing windmills. A complete layout of VAWT blade design is presented including the calculation of theoretical maximum efficiency, practical efficiency, propulsion and blade loads. The ANSYS simulation and experimental results are presented. These results encourage and reinforce the conviction that vertical axis wind energy conversion systems are practical and potentially very contributive renewable energy system to produce the electricity. In addition, artificial intelligence-based vertical axis wind turbine is found to provide higher performance for wind speed with economical. The proposed window mill with metal case is capable of improving the efficiency by 52% even for low heads of wind speed.
    Keywords: vertical axis wind turbine; VAWT; computational fluid dynamics; finite element analysis anemometer; blower; rotor; analysis system; solid works.
    DOI: 10.1504/IJESMS.2022.10051749
  • An extensive review on use of CFD simulation technique for assessment of performance of various rib geometries and arrangements in heated fluid ducts   Order a copy of this article
    by Harshad N. Deshpande, Vaijanath N. Raibhole 
    Abstract: The use of ribs is one of the vital methods of improvement of the performance of thermal systems, for example, the cooling channel of the heat exchanger, solar air heater, etc. There are many benefits of performing CFD simulation before experimentation to select rib parameters that will give the highest magnitude of the rate of heat transfer with the least magnitude of friction penalty. Therefore, considering the large scope of research for a thermal and fluid flow simulation of ribbed surfaces this review article is presented. Numerical studies performed by the researchers on rib geometrical parameters, and different rib arrangements affecting thermal performance have been reviewed and explored. The details of flow governing equations, turbulence model, discretisation scheme, grid size; the type used for CFD simulation have been discussed. This review article will certainly provide a vision to the researchers for fluid flow modification and thermal performance intensification using ribs in thermal systems.
    Keywords: CFD; discretisation scheme; grid; geometry of rib; model of turbulence; rib arrangements; thermo- hydraulic performance; simulation.
    DOI: 10.1504/IJESMS.2022.10051123
  • A stacking ensemble for credit card fraud detection using SMOTE technique   Order a copy of this article
    by Kaithekuzhical Leena Kurien, Ajeet A. Chikkamannur 
    Abstract: In present times online shopping is on rise as more people stay at home and credit card do the walking resulting in increase in credit card fraud. COVID-19 outbreak pushed digital payments exponentially, making gateway for online frauds even more common to this dependence on digital payment platforms. Empirical evidence on ensemble techniques of machine learning algorithms for fraud prediction has exhibited superior performance in identifying fraud patterns in usage of credit card data through technique of stacking and voting. The ensemble techniques like AdaBoost, gradient boost and XGBoost are applied along with stacking classifier on the credit card dataset. The stacking classifier using heterogeneous classifiers of random forest, K-nearest neighbours and logistic regression to learn the fraud patterns effectively in credit card data. The proposed methods are analysed using F1-score and recall metrics due to skewness of data.
    Keywords: ensemble methods; random forest; fraud detection; XGBoost; AdaBoost; anomaly detection.
    DOI: 10.1504/IJESMS.2023.10053233
  • Modified robust droop control based on control strategy of artificial neural systems for proportional load sharing between parallel operated inverters   Order a copy of this article
    by Shraddha Gajbhiye 
    Abstract: In distributed generation (DG) unit operation, the inverter plays a vital role in combine energy sources. Effective combine energy can successfully be accomplished by operating inverters with effective control techniques. Most researchers have worked for the control of inverters in a microgrid. This research discusses the methods for inverter control for proper control of frequency, power sharing and voltage used in an isolated microgrid. This research introduces a control strategy made of the virtual impedance robust droop control with artificial neural systems as a primary controller, and the current controller is used as a secondary controller in single phase microgrid. The work is implemented for linear and non-linear load, connected with two parallelly connected voltage source inverters (VSIs) which are sharing power in 1:2 ratio. Comprehensive simulations have been performed to approve the proposed control strategy’s capability in terms of balance of frequency, voltage, and power proportionately among the micro sources in the isolated microgrid.
    Keywords: microgrid; robust droop control; current controller; inverter; artificial neural system; ANS.
    DOI: 10.1504/IJESMS.2023.10053940
  • Lubrication characteristics of MRF ship stern tube bearing based on nitrile rubber   Order a copy of this article
    by Shengdong Zhang 
    Abstract: A mathematical calculation model of the magnetorheological fluid stern tube bearing based on nitrile rubber (MRF-STB-NR), was proposed, and established in this study, considering the coupling influence of eccentricity, temperature, and magnetic field strength. The lubricating film in both the circumferential and axial directions was evenly divided using the finite difference method, and the pressure distribution of the lubricating film was calculated using the successive over relaxation (SOR) iteration method. The study investigates the influence of eccentricity, temperature, and magnetic field strength on the total force, friction coefficient, lubricating film pressure, and lubricating film thickness of the MRF-STB-NR. The results show that the bearing capacity of MRF-STB-NR can be improved, and the friction coefficient is reduced by increasing temperature, magnetic field strength, and eccentricity.
    Keywords: stern tube bearing; STB; magnetorheological fluids; MRF; eccentricity; lubrication characteristics; successive over relaxation; SOR.
    DOI: 10.1504/IJESMS.2023.10058255
  • A generalised approach to the dynamic modelling of a water tube boiler   Order a copy of this article
    by R.S. Jha, Mandar M. Lele 
    Abstract: The present work aims to develop a generalised model to study the boiler dynamics in fluctuating load conditions. The model has been developed for a water tube boiler, but it can be extended to a hybrid boiler configuration as well. It generates a system of equations including mass and energy conservation equations for natural circulation circuits, drum below water level and drum above water level. It uses a transient momentum conservation equation for the natural circulation circuit and a smaller time step is used for convergence. This also presents the boiler dynamics with a feedback control system for load and water level management.
    Keywords: circulation; riser; downcomer; drum; dryness fraction; steam volume fraction; condensation enthalpy; void fraction; rate of condensation; drift velocity.
    DOI: 10.1504/IJESMS.2023.10059726
  • Modelling and structural analysis of coconut tree climbing mechanism   Order a copy of this article
    by Pradip Solanki, Ravi Kumar Mandava 
    Abstract: Due to the shortage of professional climbers for cutting the coconuts, many farmers are looking for coconut tree climbing mechanisms. This article aims to develop the mechanism model and examine the various types of stresses, that is, Von-misses stress and maximum shear stress, and deformation of the various mechanical components of the climbing mechanism. The mechanical parts are required to run the mechanisms are modelled individually in CREO. Further, the analysis has been conducted using ANSYS 2021. The result shows that the stresses acting on each mechanism components are less than the permissible limit of the estimated loading conditions. Therefore, it can be observed that the designed components of the mechanism can effectively withstand the load during operating conditions.
    Keywords: climbing mechanism; mechanical components; coconut tree; CREO; ANSYS.
    DOI: 10.1504/IJESMS.2023.10061187
  • Influence of geometric properties on the natural frequency of bending vibration of polymethacrylamide sandwich composite   Order a copy of this article
    by Rilwan Kayode Apalowo 
    Abstract: The influences of fibre orientation and thicknesses of the skin and the core on the natural frequencies of cantilever polymethacrylamide rohacell sandwich composites (PMRCs) were numerically studied in this work, using the FEA approach. The study established that maximum natural frequency is obtained for the sandwich when the fibre orientation of its GFRP skin is either lateral, (i.e., 0) or longitudinal (90) due to the comparative higher bending stiffness of the skin at these angles. It was also found that the natural frequency increases with increasing core thickness for all bending modes, increases with increasing skin thickness for the fundamental bending mode, and decreases with increasing skin thickness for higher bending modes. It was further found that higher frequencies of bending vibration are obtained in the PMRC sandwich when the PMRF core has a superior thickness ratio of the entire sandwich thickness compared to the GFRP skin.
    Keywords: vibration analysis; finite element analysis; FEA; natural frequency; sandwich laminate; honeycomb structure.

  • Research on numerical simulation of wind load on high-rise buildings along the street based on BIM model   Order a copy of this article
    by Lianguang Mo, Wenying Lu 
    Abstract: In order to overcome the problems of poor accuracy and low efficiency in the existing numerical simulation methods of building surface wind load, a new numerical simulation method of high-rise street building surface wind load based on BIM model is proposed. This method obtains the data of high-rise buildings along the street based on BIM model, and selects Realisable k-? model as the turbulence model. The non-equilibrium wall function method is used to deal with the turbulence state on the building surface, the boundary conditions are set, and the turbulence model is calculated and solved by a separate solver to realise the numerical simulation of the surface wind load of high-rise street buildings. The experimental results show that the average error of the wind pressure coefficient of the proposed numerical simulation method is less than 0.4, which fully shows that the proposed numerical simulation method has good performance.
    Keywords: BIM model; high-rise buildings along the street; building surface; wind load; numerical simulation.

  • Aerodynamic properties comparison between natural feather, nylon, and synthetic shuttlecocks   Order a copy of this article
    by Dangsuria Ab Rasid, Muhammad Fairuz Remeli, Baljit Singh, Hazim Moria 
    Abstract: This study compared the aerodynamic properties between the natural feather, nylon, and foam shuttlecocks under various pitch angles, using computational fluid dynamics (CFD) during steady-state flight conditions. The velocity varied within 10-60 m/s and =10, 20,30. The drag coefficient for feather/foam was approximately constant at 0.56. Other aerodynamic properties including the lift and moment coefficients were also investigated. The lift coefficient obtained for nylon and feather/foam were 0.38 and 0.30 at = 30 (30 m/s). All models had shown a negative sign for the moment coefficient, which indicates the aerodynamic centre is always behind the centre of gravity. Therefore, it will give stability to the shuttlecock during the flight. The nylon shuttlecock showed a higher drag coefficient compared to others due to its larger gap area and an increased wake behind the shuttlecock.
    Keywords: aerodynamic properties comparison; natural feather shuttlecocks; nylon shuttlecocks; synthetics shuttlecocks; computational fluids dynamics; CFD; drag coefficients; lift coefficients; steady-state flight.

  • FPGA implementation of low complexity super resolution scaling architecture for UHD display systems   Order a copy of this article
    by Chidadala Janardhan, K.Venkata Ramanaiah, K. Babulu 
    Abstract: Ultra high definition (UHD) technology has been changing the entertainment industry significantly and its content is severely short of supply due to limited content creators or hard to access due to insufficient network bandwidth. Recent improvements in CMOS image sensor technology, multimedia applications traditional standard display (SD) systems are not sufficient to display high-quality images. Conventional FPGA-based SR methods will exhibit more complexity and requires more hardware resources to perform. This paper describes low complexity super resolution scaling architecture (SRSA) for UHD systems. In our proposed method, bi-cubic interpolation is used for reconstruction the low-frequency image to high-frequency images, these bi-cubic interpolations will have the capability to interpolate sixteen nearest neighbours of a pixel. In addition to that high-frequency patches are overlapped to construct super resolutions images with using kernel algorithm. The proposed system generates the output image at 1,600 x 1,600 sizes from 800 x 800 image size. The proposed SRSA super-resolution technique is modelled in Verilog HDL and synthesised in Xilinx Zynq-7000 series FPGA and shown the comparison of area, delay, and power. From the simulation results, the performance of the proposed method can compete over the state of the art methods.
    Keywords: image interpolation; super resolution; image resolution; field programmable gate arrays; image restoration.
    DOI: 10.1504/IJESMS.2024.10063207
  • Analysis of hole expansion test of aluminium alloy using finite element method simulation   Order a copy of this article
    by Yogesh Dewang, Vipin Sharma, Shashi Ranjan Mohan, Riyan Cyriac Jose 
    Abstract: The major problems associated with forming operations of metal sheets are edge failures often associated with the stretch flangeability of the material. Several ferrous and non-ferrous metals and their alloys have been studied in the recent decade to address the above mentioned issue. Stretch flangeability of a materials used in automotive applications is determined by several tests, the prominent ones being hole expansion test and uniaxial tensile test along with bending tests. The stretch flangeability of AA6016 was studied by finite element method hole expansion test. It is developed on ABAQUS/CAE 2020with implicit simulation. A finite element model is developed with appropriate material model for understanding the significance of physical parameters affecting the stretch flangeability. Simulation results provide a greater access to analyse mechanical properties acting under deformation.
    Keywords: automobile; sheet forming; hole expansion; FEM simulation; flanging; stretch frangibility.

  • Rayleigh wave in rotating thermoelastic half-space under impedance boundary conditions, two-temperature, diffusion   Order a copy of this article
    by Heena Sharma, Sangeeta Kumari, Bharti Thakur 
    Abstract: In the present work, the governing equation of Rayleigh wave is considered with rotation, diffusion, and two-temperature under impedance boundary conditions for generalised thermoelastic half-space. The surface wave technique is used to solve the governing equation of Rayleigh wave to obtain the frequency equation. It also satisfies radiation conditions. Impact of rotation, initial stress, two-temperature, magnetic field, and diffusion with impedance boundary conditions numerically calculated. The effect of different parameters against dimensionless speed is presented graphically.
    Keywords: Rayleigh wave; frequency equation; generalised thermoelasticity; relaxation time; initial stress; two-temperature; magnetic field; rotation; diffusion; impedance boundary conditions; IBCs.
    DOI: 10.1504/IJESMS.2024.10063678
  • DBPF pre-processing based improved ECG signal analysis in medical engineering applications   Order a copy of this article
    by Varun Gupta 
    Abstract: Bioinformatics is the essential field to capture and interpret the biomedical datasets. Among these datasets, heart is main organ which is responsible for circulation of the blood and appears in the form of electrocardiogram (ECG) signal. Unfortunately, the heart’s conduction is nonlinear in nature requiring utilisation of technological advancements. The activity of heart is signified by various small waves, viz., P-wave, QRS wave (complex), and T-wave. In this paper combination of three efficient techniques, viz., digital bandpass filtering (DBPF), Hilbert envelope, and factor analysis is used for ECG signal analysis. The analysis of ECG signal is done by estimating position of R-peaks in MIT-BIH Arrhythmia (MIT-BIH Arr) database and MIT-BIH Long-Term ECG database. The proposed technique is definitely important for medical engineering applications in estimating correct health condition.
    Keywords: bioinformatics; electrocardiogram; ECG; digital bandpass filter; Hilbert envelope; factor analysis; R-peaks.
    DOI: 10.1504/IJESMS.2024.10063747
  • Role of biomedical devices on surgical applications - an outlook   Order a copy of this article
    by Md. Abdul Raheem Junaidi, Ram Chandra Murthy Kalluri, Y. V. Daseswara Rao 
    Abstract: The research mainly focuses on the three different types of laparoscopic instruments such as grasping, laparoscopic forceps, and suction irrigation devices with their design modifications and robot assistance activities. Some mechanical components such as links, sliders, gears, pivots, etc. are assisted in the working mechanism of the laparoscopic instruments. Despite of its potential demand, certain complexities are faced by surgeons due to its design characteristics. From the analysis, it is clear that several researchers are focused for optimise the design of forceps and handles in laparoscopic surgery. The process of suction and irrigation contributes well to laparoscopic surgery; however, the interest toward such a process is limited by the researchers. The existing researches of laparoscopic instrumental enhancement between the year 2011 and 2020 are symbolised in this work. This research promotes direction to several surgical device designers by adopting the additional innovative methodology for designing the novel laparoscopic instruments.
    Keywords: robotic device; laparoscopic instruments; minimal invasive surgery; Grasper; suction and irrigation medical device; CFD perspectives.
    DOI: 10.1504/IJESMS.2025.10064595
  • Induction motor speed control performance enhancement using fractional order filters   Order a copy of this article
    by Saida Hassainia, Samir Ladaci, Sihem Kechida, Khaled Khelil 
    Abstract: This paper proposes a novel methodology for performance enhancement of simple feedback control by means of fractional order filters applied to the speed drive of an induction machine. Three performance indexes are used for this aim namely the integral square error (ISE), integral absolute error (IAE) and integral time absolute error (ITAE). A first order filter in different positions of the control loop is considered in presence of a noise source in order to design the filter configuration. Then, an optimisation of the fractional order filter is realised. Comparative simulation results are given to illustrate the superiority and robustness of the proposed control scheme with regard to integer order filters and unfiltered controllers.
    Keywords: fractional order filter; fractional order systems; induction machine; pi controller; performance index; speed control.
    DOI: 10.1504/IJESMS.2024.10064607
  • A versatile biomedical device employed for diverse applications in minimally invasive surgical procedures   Order a copy of this article
    by Md. Abdul Raheem Junaidi 
    Abstract: The research revolutionises to introduce a new design of an instrument that combines the functionality of Maryland forceps with that of a suction irrigation device. Currently, the above two operations have to be carried out sequentially, which adds to the amount of time and effort spent by the surgeon. Integrating both these features within the same device can ensure that both processes can take place simultaneously or one after the other as many times as required, without unnecessary removal of the device from the incision. Thus the article has modelled the instrument which can potentially benefit in all other various laparoscopic procedures.
    Keywords: laparoscopic instruments; irrigation; suction; forceps; mechanism; multi-functional.
    DOI: 10.1504/IJESMS.2024.10064909
  • A global thermal node model for analysing the effect of glass cover geometric parameters for no-load indirect solar dryer   Order a copy of this article
    by Ernest Léontin Lemoubou, Carine Pamela Aghogue Donchi, Hervé Thierry Tagne Kamdem, René Tchinda 
    Abstract: In this paper, a global thermal node model is developed for describing no-load indirect solar dryer with double-glass collector. The dryer is formed with drying unit and double air pass collector mounted with two absorber plates separated by confined air. The nodal model takes into account the time variations of solar flux, convection heat losses to the ambient and radiated flux from the soil surface. The mathematical model describing the transient heat transfer process is derived from the node theory, while the surface soil fluxes are approximated using the boundary layer similarity theory. The resulted equations are solved numerically using the iterative finite difference method. The results obtained indicate excellent agreement of the global node model proposed when compared predictions to experimental values of the literature. The simulation reveals significant effect of glass cover thickness and glass covers confined air thickness on the thermal behaviour of the dryer.
    Keywords: global node model; indirect solar dryer; numerical simulation; glass cover geometric parameters; boundary layer theory; dynamic conditions; thermal behaviour.
    DOI: 10.1504/IJESMS.2025.10065108
  • Optimisation of deep learning-based models for the diagnosis of heart disease through ODTH method   Order a copy of this article
    by Monali Gulhane, T. Sajana 
    Abstract: In middle- and low-income countries, cardiovascular illnesses (CVDs) constitute the leading cause of death, with heart attacks and strokes accounting for around 80% of CVD-related fatalities. Enabling early intervention and treatment planning, effective cardiac irregularity prediction and the design of trustworthy heart disease prediction systems eventually lower death rates. This research investigated the viability of predicting cardiac disease using tabular data and convolutional neural networks (CNN). We first retrieved pertinent data from the collection of records, which was then abridged to 14 characteristics; each record is converted into heatmaps, and PNG files of the heatmaps are stored for further CNN processing and visualisation to DenseNet121, ResNet50 and VGG19. Using 10-fold cross-validation, we discovered that DenseNet121, in addition to the optimisation method stochastic gradient descent (SGD), performed better with 97% accuracy while the other two VGG19 54.39% and ResNet50is 51.00% models, performed low as compared to DenseNet121 in addition with the use of accuracy of 54.39% and 51.00%, respectively. Our research demonstrates that deep learning models are capable to correctly forecast heart disease from tabular data. In this paper, it is concluded that tabular data can be given as input to deep learning models to achieve better accuracy and good results can be observed for further study in the field of disease prediction.
    Keywords: machine learning; deep learning;DenseNet121; ResNet50; VGG19; optimisation.

  • Modelling an SEIR model using saturated treatment function and analysing its stability: the effect of treating H3N2V affected patients by medicines   Order a copy of this article
    by A. Joshua Cyril Yagan, D. Jasmine 
    Abstract: Swine flu is a respiratory illness characterised by its intense spread during specific seasons, leading to concerns about the potential challenges caused by limited drug availability. This article presents a susceptible-exposed-infected-recovered (SEIR) model incorporating a saturated treatment function to address these concerns. Emphasising the crucial role of early medication in managing the infection, the model serves as a mathematical representation of the disease’s dynamics, featuring the novel inclusion of a saturated treatment function to better manage swine flu’s transmission challenges. This study emphasises early prescription medicine treatment for infected patients. A thorough methodology verifies the model’s positivity and boundedness to ensure it appropriately represents real-world disease dynamics. To better comprehend disease propagation, calculate the reproduction number and find the model’s equilibrium locations. The Gershgorin Circle theorem is used to test model stability, showing its capacity to capture disease transmission’s complicated dynamics. The essay uses numerical simulations to emphasise the need of timely and proper medicine in preventing illness development. This model-driven technique can avert swine flu pandemics by predicting pharmaceutical needs and reducing supply bottlenecks.
    Keywords: variant influenza; swine flu; H3N2; respiratory infection; pandemic; epidemic; SEIR compartmental model; saturated treatment function; reproduction number; model stability and implications.
    DOI: 10.1504/IJESMS.2024.10065300
  • A novel hybrid supervised machine learning model for real-time risk assessment of floods using concepts of big data   Order a copy of this article
    by Tegil J. John, R. Nagaraj 
    Abstract: Risk assessment (RA) modelling refers to combinatorial development of identification and assessment of the potential for the occurrence of an event that causes a negative impact on an entity of interest. With recent advances in data acquisition and archival methods, concepts of big data have been a great boon to RA development. It is primarily due to the fact that the accuracy of RA relies on the volume of historical data analysed. Based on this, a RA model is designed as a hybrid model using differential evolution and an adaptive neuro-fuzzy inference system to assess risk in real-time. The performance ability of the proposed hybrid model is compared with conventional ANFIS and neural network models by analysing the rainfall status in India. Data from the expert systems are collected by analysing various case study areas from India to validate the performance of the proposed hybrid system. The proposed model performance is validated through parameters like precision, recall, f1-score and accuracy. With maximum accuracy of 94.65% proposed model attains better performance than conventional approaches.
    Keywords: neural network; autonomous robot; position and orientation estimate; odometry system.
    DOI: 10.1504/IJESMS.2022.10048225
  • Neural network-based optimisation of smart odometry classification in a self-governing robot for precise position and location estimation   Order a copy of this article
    by Shaik Mohammad Rafi, A. Prakash, Firdouse Banu, P. Muthu Krishnammal, K. Bhavana Raj, J.E. Anusha Linda Kostka 
    Abstract: The Verdino self-governing robot's intelligent dummy device will benefit greatly from this study's findings. An odometric mathematical model based on the robot's trajectory equations determines the robot's position. Odometer devices are system inputs, and a model is constructed using the wheel diameter and distance. This model determines the optimal nominal parameters by trying to conduct a restricted squares reduction. This model is computed using the current wheel diameter to assure the accuracy of the findings. A neural network model is used to train an odometric model using data. There is no doubt that the neural network works.
    Keywords: neural network; autonomous robot; position, and orientation estimate; odometry system.
    DOI: 10.1504/IJESMS.2022.10047953
  • Numerical simulation based radial laser cladding process optimisation for annular thin-walled parts   Order a copy of this article
    by Xuhui Xia, Yuding Gao, Lei Wang, Zelin Zhang, Ping Yi, Tong Wang, Baotong Chen 
    Abstract: In order to effectively reduce the deformation and improve the forming quality, the radial laser cladding process optimisation for annular thin-walled parts with numerical simulation and orthogonal experiment is carried out in this paper. A three-dimensional thermal-mechanical coupling finite element model for laser cladding of the annular thin-walled part is established. Based on the orthogonal experiment, the influence of laser power, scan speed and laser spot radius on the formation quality of radial single-layer cladding layer is investigated. The residual stress result shows that the maximum value of the residual stress in each direction appears at the junction of cladding layer and substrate. The optimal process parameters combination is laser powder of 1,400 W, scan speed of 21 mm/s, laser spot radius of 2.5 mm with smaller deformation and well forming quality. The results can provide some scientific and theoretical guidance for actual laser cladding of annular thin-walled parts.
    Keywords: radial laser cladding; thermal-mechanical coupling model; annular thin-walled part; process optimisation.
    DOI: 10.1504/IJESMS.2022.10048707
  • Polarisation maintaining square shape photonic crystal fibre with high nonlinearity   Order a copy of this article
    by Monika Kiroriwal, Poonam Singal 
    Abstract: A highly birefringent square shape photonic crystal fibre (S-PCF) with high nonlinearity has been simulated and studied. AlGaAs infiltrated slotted elliptical and rectangular cores are considered to identify the impact of core shape on optical properties. The light managing behaviour of the triangular meshed S-PCF is studied by employing the finite element method (FEM). Simulated results indicate that the slotted elliptical core is more compelling than the slotted rectangular core. Proposed PCF with high birefringence nearly to 0.46, high nonlinearity of 1.2 × 105 W-1km-1, and high numerical aperture of 0.873 at 2 μm can be a prominent contender for a wide span of uses such as in nonlinear optics, polarisation-maintaining, sensing, and medical imaging.
    Keywords: photonic crystal fibre; semiconductor nonlinear material; birefringence; nonlinearity; nonlinear optics; shape photonic crystal fibre; S-PCF; finite element method; FEM.
    DOI: 10.1504/IJESMS.2022.10048773
  • Elephant sound classification using machine learning algorithms for mitigation strategy   Order a copy of this article
    by T. Thomas Leonid, R. Jayaparvathy 
    Abstract: Conflicts between humans and elephants have become a wide problem in the agricultural and forest sectors, posing a threat to human lives and inflicting significant resource loss. This paper presents and compares the results of feature extraction techniques for detecting elephant voice signal. Support vector machine (SVM) classifiers, K-nearest neighbour (KNN) classifiers, nave Bayes classifiers and convolutional neural network (CNN) classifiers all use the recovered features as inputs. The performance of all feature extraction techniques are validated and compared on elephant voice signals. The experimental results have confirmed that highest testing classification accuracy of 84% is resulted from CNN classifier with discriminatory features from the voice. This signifies that the different techniques of feature extraction technique have immense potential than other techniques in Identifying elephant voice signal.
    Keywords: classification; convolutional neural network; CNN; accuracy; elephant; feature extraction.
    DOI: 10.1504/IJESMS.2022.10049166
  • Review on sentiment analysis of movie reviews using machine learning techniques based on data available on Twitter   Order a copy of this article
    by Dharmendra Dangi, Amit Bhagat, Jeetendra Kumar Gupta 
    Abstract: Opinion mining or sentiment analysis is the study to extract useful information from the given datasets like tweets on Twitter or opinions of people on other social blogs or portals related to a particular topic. Sentiment analysis aims to predict the type of opinion like positive, somewhat positive, or negative somewhat negative and neutral. Sentiment analysis based on machine learning techniques has more importance as it gives better outputs. The study of these kinds of datasets with the help of machine learning techniques can be used in many different forms like to make predictions, to study the patterns, to analyse the sentiments, to study the reviews the movies, to predict the way stock market may behave. Data available on microblogging sites like Twitter have certain hidden indications which are useful to solve many research problems. This article is the review article that will highlight some recent studies in the field of sentiment analysis based on the movie review available on websites like Twitter.
    Keywords: machine learning; sentiment analysis; positive; negative; Twitter.
    DOI: 10.1504/IJESMS.2022.10049764