Asian Research Journal of Current Science https://globalpresshub.com/index.php/ARJOCS <p><strong>Asian Research Journal of Current Science</strong>&nbsp;aims to publish high-quality papers in all areas of science, technology, and medical research. This is a multidisciplinary scientific journal.&nbsp;The journal also encourages the submission of useful reports of negative results.&nbsp;</p> en-US Fri, 17 Feb 2023 06:53:11 +0000 OJS 3.3.0.12 http://blogs.law.harvard.edu/tech/rss 60 Evaluation of Spatial Distribution of Environmental Radiation in Kolo, Bayelsa State, Nigeria https://globalpresshub.com/index.php/ARJOCS/article/view/1755 <p>The environmental care must at all times include record of the level of radiation exposure to the human populace. This study therefore aimed at evaluation of spatial distribution of environmental radiation in Kolo communities, Nigeria, which will serve as base line data. A well calibrated (Digilert-200) survey meter and global positioning system (GPS) were used. The Survey meter contained a Geiger Muller tube with capacity to detect alpha, Beta, Gamma and X-rays. The results obtained showed that the average exposure rate or the background ionizing radiation (BIR) ranged from 0.017 to 0.020 mR/hr while the average corresponding equivalent dose (ED) ranged from 1.393 to 1.677 mSv/yr. The average values of background ionizing radiation and equivalent dose were 0.019 mR/hr and 1.562 mSv/yr respectively. These BIR and ED values were slightly above the world permissible standard values of 0.013 mR/hr and 1.0 mSv/yr respectively. The radiological hazard indices computed from the measured background ionizing radiation showed that the average value of absorbed dose rate was 165.30 nGyh<sup>−1</sup>, average value of annual effective dose equivalent (AEDE) was 0.203 mSvyr<sup>−1 </sup>and Excess Lifetime Cancer Risk was 0.711 mSvyr<sup>−1</sup>. These radiological hazard indices were found to be slightly above the world permissible limits but could be considered insignificant in short term radiological health assessment. Hence the conclusion that the residents of kolo1, Kolo2 and Kolo3 communities were not faced with short-term radiological challenge. The slight elevation of the background ionizing radiation may be attributed to oil and gas exploration and exploitation activities, incessant pipeline vandalism/theft that led to oil spills in the area. Therefore, there should be routine monitoring by relevant agencies in case of a sudden increase in BIR.</p> Uzochukwu Leonard Anekwe, Oghenevovwero Emmanuel Esi Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1755 Thu, 05 Jan 2023 00:00:00 +0000 A Novel Ensemble Linear Regression Scheme Based On Incorporation of the Linear Model Strength Contributed by Each Data Point Co-ordinate – An Example of Construction Accident (Fatal Falls) Prediction https://globalpresshub.com/index.php/ARJOCS/article/view/1766 <p>The objective of this research investigation is to present a novel scheme of Ensemble Linear Regression Based on Incorporation of the Linear Model Strength Contributed By Each Data Point Co-ordinate. An example of computation of Construction Accidents (Fatal Falls) Forecasts modeled according to the proposed fashion is presented to this end. Firstly, we compute the linear regression model for the given data points of concern and note its R squared value. The method involves calculation of linear regression model forecasts (for a specific independent variable co-ordinate of concern) of each co-ordinate of the parameter of concern by omitting the co-ordinate itself and modeling the rest of the co-ordinates that the parameter takes on, using Linear Regression. We also note their respective R squared values. We then ascribe the Linear Regression Model Strength coefficient to each independent variable co-ordinate as 1 minus the {(change in R squared value of each linear regression model obtained by omission of the considered independent variable co-ordinate with respect to the R squared value of the linear regression model obtained initially by using all the data point co-ordinates) divided by the R squared value of the linear regression model obtained initially by using all the data point co-ordinates}. We now product scale (using the Model Strength coefficient of each independent variable co-ordinate) the dependent variable co-ordinate obtained for each independent variable co-ordinate using the linear regression model generated by using all the data points. This gives us a new set of dependent variable co-ordinates for the given independent variable co-ordinates of concern for which we finally generate the General Linear Regression Model. We can also note that the R squared values of this thusly fashioned Ensemble Regression Model is higher than the rote General Linear Regression Model. In this study, the authors have used Adjusted R<sup>2</sup> values for this analysis.</p> Rahul Konda, Ramesh Chandra Bagadi, V. S. S. Kumar, Suresh Kumar N. Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1766 Sat, 18 Feb 2023 00:00:00 +0000 Magnetic Field Effect on the Energy Spectra of Indium Phosphide (InP) Quantum dot in D-dimensions with the Hulthen-Yukawa Potential https://globalpresshub.com/index.php/ARJOCS/article/view/1770 <p>In this study, the energy spectra of the two-electron interaction of Indium Phosphide (InP) quantum dot under the influence of magnetic field in D-dimensions are obtained for the Hulthen-Yukawa potential model using the Nikiforov-Uvarov (NU) method. We investigated how the magnetic field, the potential depth and the screening parameter affected the structure of the energy eigenvalues. From our results, we found out that the energy eigenvalues increased as the magnitude of the magnetic field increased. The energy eigenvalues decreased as the potential depth increased. We also found out that increasing the screening parameter enhanced the energy eigenvalues. These findings have not been reported before now with the NU method.</p> Ikechukwu Otete, Chinwendu Best Eleje Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1770 Wed, 22 Feb 2023 00:00:00 +0000 A Novel All Possible Periodic Sets Ensemble Linear Regression Scheme – a Case Study of Construction Accidents (Fatal Falls) Prediction https://globalpresshub.com/index.php/ARJOCS/article/view/1776 <p>In this research investigation, the authors have proposed an All Possible Periodic Sets Ensemble Linear Regression Scheme. In this case, all possible periodic sets are considered (evaluated with all holistic variable integral periodicities of Time Instants computed backwards with respect to one step future forecast position of the given series) and their predictors for a particular considered future co-ordinate is evaluated. We again pro-rate these thusly found future values using an Inner Product value obtained by the normalized vector consisting of all the points of the given dataset under linear regression analysis (arranged in a chronological order) along with its future prediction value of the afore-considered future time co-ordinate of concern and any set normalized vector among the all possible sets of the data co-ordinates (also arranged in chronological order only that the missing points shall be denoted by zero) along with its future prediction value of the afore-considered future time co-ordinate of concern, in the computation of the Ensemble Weighted Average. The entire computational analysis is performed in R Programming Software environment.</p> Rahul Konda, Ramesh Chandra Bagadi, V. S. S. Kumar, Suresh Kumar. N Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1776 Tue, 28 Feb 2023 00:00:00 +0000 A Novel All Possible Sets Ensemble Linear Regression Scheme – A Case Study of Construction Accidents (Fatal Falls) Prediction https://globalpresshub.com/index.php/ARJOCS/article/view/1781 <p>In this research investigation, the authors have proposed an All Possible Sets Ensemble Linear Regression Scheme. In this case, all possible sets are considered and their predictors for a particularly considered future co-ordinate are evaluated. We again pro-rate these thusly found future values using an Inner Product value obtained by the normalized vector consisting of all the points of the given dataset under linear regression analysis (arranged in a chronological order) along with its future prediction value of the afore-considered future time co-ordinate of concern and any set normalized vector among the all possible sets of the data co-ordinates (also arranged in chronological order only that the missing points shall be denoted by zero) along with its future prediction value of the afore-considered future time co-ordinate of concern, in the computation of the Ensemble Weighted Average. The entire computational analysis is performed in an R Programming Software environment. For this analysis to be applicable with low computational complexity, the authors condense the data set to extract a Sub-Set from the given data set using a presented special data splitting novel criterion, for conducting the aforementioned analysis.</p> Rahul Konda, Ramesh Chandra Bagadi, V. S. S. Kumar, Suresh Kumar N. Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1781 Wed, 15 Mar 2023 00:00:00 +0000 A Holistic Theoretical Model for Optimal Multiple Linear and Multiple Non Linear Regression Analysis with a Novel Validation Model Scheme for Ensemble Regression Scheme Based Prediction Cases – An Example of Annual Rainfall Prediction https://globalpresshub.com/index.php/ARJOCS/article/view/1784 <p>In this research manuscript note, the authors have advented a comprehensive Holistic Theoretical Model For Optimal Multiple Linear and Multiple Non Linear Regression Analysis. Also, an Exhaustive Error Modeling Scheme is detailed to perfect the advented Model. Furthermore, a Novel Validation Model Scheme is proposed and is illustrated with an example of rainfall forecast. This paper addresses Hyper Space Level Optimization of Linear Regression and Multiple Linear Regression Optimization rather than Optimization in the Number of Independent Parameter Level Dimensions Space in Holistic Independent Parameters Interaction Space at Integral Order that forms a Field, wherein the Hyper Space Dimensions and types are representative of the Interaction of the Independent Parameters themselves. Also, insights into achieving similar results at Fractional orders is also presented. &nbsp;Furthermore, a line of research study that can be performed by scaling such Hyper Spaces Product terms with a Coefficient which represents the Inter Multicollinearity aspect of the Independent Parameters playing role in the Hyper Space effects signifying product terms, is suggested.</p> Ramesh Chandra Bagadi, Suresh Kumar. N, Jagannadharao Basa Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1784 Wed, 22 Mar 2023 00:00:00 +0000 A Novel Ensemble Linear Regression Scheme Based on Incorporation of the Linear Model Strength Contributed by Each Data Point Co-ordinate Using a Special Weighted Error Metrics Ensembling Scheme Spanning Error Metric Types and Considered Linear Regression Models – An Example of Construction Accident (Fatal Falls) Prediction https://globalpresshub.com/index.php/ARJOCS/article/view/1787 <p>This study's goal is to present an innovative ensemble linear regression method that takes into account the contribution of each data point's coordinate to the linear model's strength. In order to achieve this, a computation of Construction Accidents (Fatal Falls) Forecasts modelled in accordance with the suggested manner is provided. For the given data points of interest, we first compute the linear regression model and record its R squared value. By leaving out the co-ordinate itself and using linear regression to model the remaining co-ordinates that the parameter takes on, the method involves calculating the forecasts from a linear regression model for each co-ordinate of the parameter of concern (for a specific independent variable co-ordinate of concern). We also record each R squared value's value. The Linear Regression Model Strength coefficient is then assigned to each independent variable co-ordinate as 1 minus the difference between the R squared value of each linear regression model after excluding the independent variable co-ordinate under consideration and the R squared value of the linear regression model initially obtained by using all the data point co-ordinates. We now consider 9 Error Metric parameters namely, MAPE, MAE, MSE, MAD, RMSE, R squared, Adjusted R squared, p-Value and Bias for each of the thusly computed linear regression models and then Range Normalize these values within an open interval of 0 and 1 and use a special weighted formula in arriving at a Weight Coefficient that spans all the aforementioned Error Metrics. We now use a special Weighted Ensembling Scheme and compute the One Step Forecast value that incorporates the effect of all considered 9 Error Metrics spanning all the aforementioned Linear Models.&nbsp; The Standard Linear Regression based prediction method predicts the Construction Accidents – Fatal Falls for 2018 as 421 and our proposed model predicts the same as 300.7881103 ~ 301 which is much better than the Standard Linear Regression Based Prediction scheme.</p> Rahul Konda, V. S. S. Kumar, Ramesh Chandra Bagadi, N. Suresh Kumar Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1787 Sat, 01 Apr 2023 00:00:00 +0000 Comparative Study of Boundary Layer Thickness for Flow over Spillways https://globalpresshub.com/index.php/ARJOCS/article/view/1790 <p>Spillways provide a safe passage for excess or flood water from the reservoir. The hydraulic parameters viz., Depth of flow (DoF) over the spillway, Boundary Layer Thickness (BLT), wall shear stress, and skin friction coefficient for flow over spillways are helpful in evaluating the flow resistance over the spillways. These parameters can be made use of in the design of energy dissipators. In view of the need for the estimation of the above parameters, the primary objective of the present study is to analytically estimate the above parameters using the applicable equations available in the literature. These parameters were evaluated for four different discharges. The second objective was to conduct the simulation studies in ANSYS – Fluent software on a 1:100 scale model of the Nagarjuna Sagar Dam spillway section by considering Froude's model law. From the present study, it was evident that the difference between the BLT and computed depth of flow was ranging from 1% to 25% for the selected discharges evaluated using the conventional equations. Based on the methodology adopted in the present investigation, a new equation is proposed for estimating the thickness of the boundary layer for hydraulically rough surfaces. Further, with the proposed equation the values of BLT and DoF were coinciding a one point having error percentage less than 0.1%. The simulation values for wall shear stress were in corroboration with the analytical values for the selected flow rates with less than 1% error.</p> N. Suresh Kumar, S. V. S. N. D. L. Prasanna Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1790 Wed, 05 Apr 2023 00:00:00 +0000 Modeling of Some Common Cancers in Rivers State of Nigeria, by Applying Markov Switching Intercept Vector Autoregressive (MSI-VAR) Model https://globalpresshub.com/index.php/ARJOCS/article/view/1795 <p>The study applied a non linear modeling technique; Markov Switching Vector Autoregressive (MS-VAR) model in modeling common cancers data in Rivers State of Nigeria. The data for the study was obtained from the Cancer Registry Unit, University of Port Harcourt Teaching Hospital. The study spanned from January, 2009 to December, 2020 consisting of 144 monthly observations. The objectives of the study may include ; to model and estimate the linear interdependence between the identified common cancers, to determine the direction of causality and the significance of causality among the study variables and lastly to determine the probability of transitioning from one state to the other and the duration of stay in a particular regime. The study ascertained the stationary conditions of the three variables. Breast cancer and Cervical cancers were stationary at levels while Prostate cancer was stationary after first difference.</p> <p>The Augmented Dickey Fuller Unit Root Test was used to test for stationary behavior of the variables while Philip Peron Confirmatory test was applied. The study also tested for long-run relationship among the study variables using Johansen co-integration test which however indicated no long-run relationship according to Maximum- Eigen value and Trace test results. The stability of the model was tested by evaluating the inverse roots of the characteristic polynomial, since all the roots lied inside the unit circle, it was concluded that stability condition was satisfied.</p> Nnoka Love Cherukei, Ettuk, Ette Harrison Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1795 Wed, 12 Apr 2023 00:00:00 +0000 Comparative Analysis of Postgraduate Students Mentoring in Oyo State Nigeria https://globalpresshub.com/index.php/ARJOCS/article/view/1796 <p>The present study investigated university-type (public and private) differences in postgraduate students’ mentoring in Oyo State, Nigeria.&nbsp;A close examination of situations in Nigerian universities reveals that the majority of postgraduate students do not complete their programmes by the deadline, despite having completed the coursework requirements. Some even abandon their thesis and go on leave for reasons only they know. This study did a comparative analysis of postgraduate students’ mentoring in universities in Oyo State. The research focused on mentoring as any support for individual graduate students to develop and maintain research profiles, professional activities, knowledge and skills sharing. The study was limited to selected Oyo State Public and private Universities running approved postgraduate studies.&nbsp; The descriptive survey research design was used, and the population included all postgraduate students from Oyo State's public and private universities. The study's data was gathered using a self-created instrument known as the 'Postgraduate Thesis Mentoring Questionnaire' (PMQ). According to the findings, there is a high level of mentoring of postgraduate students in Oyo State. The study equally found a significant university-type difference in mentoring of postgraduate students (private university mentoring with mean = 2. 83, SD = 0. 938, P&lt;0.05 and public university mean = 3.15, SD = 1.203, P&lt;0.05).&nbsp; It was concluded that there was a significant difference in mentoring among postgraduate students in universities in Oyo State. This study suggested, among other things, that the government and university administrators work to reduce the workload of postgraduate students' supervisors so they can devote more time to mentoring.</p> Kayode Sunday Adeyemi, Afolakemi Olasumbo Oredein Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved https://globalpresshub.com/index.php/ARJOCS/article/view/1796 Sat, 15 Apr 2023 00:00:00 +0000 Thermodynamic and Electrochemical Studies of Chromolaena odorata and Newbouldia laevis Leaf Extracts as Corrosion Inhibitors for Copper in Acidic Environment https://globalpresshub.com/index.php/ARJOCS/article/view/1806 <p>Corrosion inhibition of copper in acidic environment by leaf extracts of <em>[Chromolaena odorata </em>(CO) <em>and Newbouldia laevis </em>(NL)<em>] </em>were studied using Galvanometric Measurement (weight loss) techniques. Inhibition efficiencies increases as the inhibitor concentrations increases and decreases with temperature while corrosion rate decreases with concentrations and increases with rise in temperature. The adsorption isotherm plot of this study fit more to Langmuir adsorption isotherm plot as the R<sup>2</sup> were all greater than 0.95 compared to Temkin isotherm plot were the entire R<sup>2</sup> coefficient are less than 0.95. The inhibition efficiencies were further confirmed with the Electrochemical Impendence Spectroscopy (EIS), and the results were in good agreement with that of weight loss. At the optimum concentration (1000mg/L), the Inhibition efficiencies of the plants extract were found to be highest in both weight loss method and EIS method. However, increase in temperatures decreases the inhibition efficiency at the temperature range studied. The phenomenon of physical adsorption has been proposed as the activation energy values were all lower than 40kJ mol<sup>-1</sup> with both <em>[Chromolaena odorata (CO) and Newbouldia laevis (NL)] </em>leaves extract and the heat of adsorption, Q<sub>ad</sub> were all negative implying that the reaction was spontaneous and exothermic for all concentration of inhibitors studied. The surfaces of copper were examined using SEM to confirm and compare the nature of surfaces before and after inhibition. Furthermore, XRD analysis was done to confirm the crystalline nature of copper.</p> G. O. Ogofotha , A. I. Onen , T. J. Ugye , A. V. Abah Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1806 Fri, 05 May 2023 00:00:00 +0000 Analysis and Simulation of Flow over Stepped Spillway Using Ansys-CFD https://globalpresshub.com/index.php/ARJOCS/article/view/1824 <p>Water is one of the most precious commodities available in nature. Most of the rivers are not perennial and carry maximum flood discharge during the monsoon season every year. The earthen dam's crest may overtop during severe flood events. As a result, the structure's integrity is at risk and could fail catastrophically on the downstream side due to erosive flow conditions. Therefore, applying graded overlays to the earthen dams has become more popular to reduce erosion energy from overtopping the flows. A stepped spillway is considered mainly to safely pass the Maximum Flood Discharge (MFD) without causing overtopping on the existing embankment that is armored with Rolled Compacted Concrete (RCC). Hence, the present study was taken up with the objectives of estimating the selective hydraulic parameters of a stepped spillway and comparing these values with simulation results. A step height of 0.038 m and crest length of 50 m was considered for the energy dissipation at the constant d/s slope of 14<sup>o</sup> and discharges varying from 10 to 41 cumec. The numerical simulations were performed using CFD ANSYS software. A 2D geometry was created in Workbench Design Modeler with suitable boundary conditions. The k-ε turbulence model was employed for the present study. CFD ANSYS simulation results were interpreted using User Defined Function (UDF). The analytical computations were found to have good agreement with simulation results.</p> Nanna Sri Ramya , N. Suresh Kumar Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1824 Tue, 04 Jul 2023 00:00:00 +0000 Smart User Consumption Analysis Using Support Vector Machine and Multilayer Perceptron https://globalpresshub.com/index.php/ARJOCS/article/view/1830 <p>The advent of smart devices and the rapid growth of wireless and wired networks has brought about a swift change in the methods of entertainment and information sources. This rapid expansion is due to the rise in over-the-top (OTT) usage, among which are the use of social networks, gaming, online video, and audio applications. OTT delivers audio, video, and other media content over the internet generating high traffic on the network infrastructure. Degradation of service is a typical tactic used to address excessive consumption patterns of smart users. However, it is deficient in that, rarely is the analysis of consumer behavior taken into consideration. Analysis of user’s consumption habits before the degradation of service is necessary for the efficiency of this mechanism. This study proposes a smart user consumption analysis using Support Vector Machine (SVM) and Multilayer Perceptron (MLP). Real-world traffic data collected in the network from Universidad Del Cauca, Popayán with a total of 2,704,839 flow instances was used. SVM and MLP were used in this study to analyze and classify user consumption behavior on OTT applications since user consumption behavior in real-world networks changes over time. The experimental result of this study showed that the two models performed extremely well in the analysis and classification of OTT application users. Nevertheless, MLP out performed SVM in both precision and F1-score. The evaluation metrics used are Recall, Precision, and F1-score based on True Positive (TP), False Positive (FP), True Negative (TN), and False Negative (FN).</p> Madugu Jeremiah Omanga , Olajide Blessing Olajide , Okpor James , Andrew Ishaku Wreford Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1830 Wed, 12 Jul 2023 00:00:00 +0000 Photovoltaic Properties of Perovskite Solar Cells Laminated with Phosphate-modified Polymer Films https://globalpresshub.com/index.php/ARJOCS/article/view/1840 <p>This study investigates the possibility of using phosphate-modified polymer films to bind lead in perovskite solar cells. Increasingly, more people are researching perovskite solar cells because of their high efficiency, low cost, and simplicity of manufacture. However, lead (Pb) is one of their key disadvantages due to its toxicity. A variety of phosphate-modified polymer films were created at varying concentrations as the study's first phase. The films were then covered with a perovskite layer and submerged in water for 12 hours. To evaluate the films' chemical characteristics, atomic absorption spectroscopic characterization was then applied. Following the characterization tests, the films were employed to examine the performance of lead amendment in perovskite solar cells. The findings of this study showed that phosphate-modified polymer films are promising candidates for lead amendment in perovskite solar cells because they can capture over 99.9% of Pb leakage without affecting the operation and performance of the cells, which demonstrated a power conversion of 6.0%, 3.2%, 7.0%, and 5.33%, respectively. A UV-vis spectrophotometer was used to analyze the active layers, and the findings revealed good optical performance and a small band gap of 1.7 eV for the perovskite layer and 2.0 eV for the TiO2 layer. The cell numbered 3 made of diammonium phosphate, ethylene vinyl acetate, and perovskite had the greatest performance of all the PSCs created; it had a power conversion efficiency of 7.0%, a Voc of 0.97 V, and an Isc of 2.4 mA. The films also displayed outstanding adhesion to the perovskite solar cells and great thermal stability.</p> Chukwuwendu J. Amaechi , Clement N. Ogbonda , Friday B. Sigalo Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1840 Mon, 24 Jul 2023 00:00:00 +0000 Inhibitory Potentials of Leaf Extract of Justicia schimperi for Mild Steel Corrosion in Hydrochloric Acid Medium: Gravimetric, Microscopic and Spectroscopic Studies https://globalpresshub.com/index.php/ARJOCS/article/view/1853 <p>Inhibitory capacity of aqueous leaf extract of <em>Justicia schimperi</em>&nbsp; (JS) for corrosion of low Carbon steel (CS) in 1 M HCl was probed using gravimetric measurements, scanning electron microscopy (SEM) and atomic absorption spectroscopy (AAS). The study was carried out in the absence and presence of different concentrations of the inhibitor in the temperature range of 303 K – 343 K. Results obtained from gravimetric analysis revealed that JS demonstrated good corrosion inhibitive performance as it considerably reduced corrosion rate of CS, achieving 86.79 % inhibition efficiency at 303 K. Percentage inhibition efficiency of JS increased with increase in concentration but decreased with increase in temperature. The adsorption of the extract on the metal surface was by physisorption and chemisorption based on values of change in Gibb’s free enery (Δ<em>G</em><sub>ads</sub>). The adsorption of JS on CS surface obeyed Langmuir adsorption isotherm. SEM micrographs revealed less CS surface damage in the presence of JS which indicated formation of protective inhibitor film on the surface of CS. Result of AAS analysis revealed that ferrous ion concentration in corrosive medium decreased with increase in JS concentration.</p> Msenhemba M. Mchihi, Mathew C. Emesiani, Juliet I. Babawumi Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1853 Tue, 29 Aug 2023 00:00:00 +0000 Development of Three-Step Implicit Second Derivative Hybrid Block Method for the Solution of the Second Kind Volterra Integral Equations https://globalpresshub.com/index.php/ARJOCS/article/view/1856 <p>This paper employed the collocation and interpolation approach to construct three-step implicit second derivative hybrid block method to solve Volterra Integral Equations of the second kind using power series and exponentially-fitted function as the basis functions. When the continuous block methods were evaluated at each point, this led to the development of the discrete block methods. Such that, each discrete scheme obtained from the simultaneous solution of the block using the block techniques guaranteed the main method to have the same level of accuracy as the main continuous method. Therefore, a new class of k-step procedures was developed, and each of which provided stable region of absolute stability and a high order of accuracy with a very low error constant. Meanwhile, the fundamental properties of the methods were examined and found to be convergent, zero-stable, and consistent. Similarly, on a few Volterra Integral Equations of the second kind problems, the effectiveness of the techniques was evaluated and result from the numerical experiments demonstrates that our novel approach converge more faster compared to other methods used in existing literatures.</p> Raymond Dominic, Ajia Rita, Navokhi Joseph, Adu Agyemang, Kwetishe Nehemiah Daniel Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1856 Sat, 09 Sep 2023 00:00:00 +0000 Predicting Stock Series of Amazon and Google using Long Short-Term Memory (LSTM) https://globalpresshub.com/index.php/ARJOCS/article/view/1864 <p>The financial markets, being a very alluring innovation, have had a substantial impact on the economy of the country. Due to its high volatility and non-linear time data series, the stock market continues to draw traders and investors interested in engaging in simultaneous buying and selling. In this research, Long Short-Term Memory (LSTM) were used to create a model for predicting stock series. The research also investigates the viability of predicting stock market prices with the aid of historical data, trends, and machine learning algorithms. For this research, the data for Amazon stock prices were from 2011 to 2019 and Google stock prices from 2013 to 2017 which where gotten from the Kaggle Machine Learning repository. Several measures, including the R2 score, Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Squared Error (MSE), were used in a comprehensive evaluation of the models used. The results of the experiments show that the Long Short-Term Memory (LSTM) prediction models perform better than the baseline models when it comes to making accurate forecasts. The Long Short-Term Memory (LSTM) model performed quite well, with an R2-Score of 0.9961 on the Amazon dataset and 0.9421 on the Google dataset. Taking everything into account, the results show that the Long Short-Term Memory (LSTM) model performed better than the state-of-the-art machine learning algorithms at predicting the values of Amazon and Google stocks.</p> Johnson Miracle Omoware , Oladunjoye John Abiodun , Andrew Ishaku Wreford Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1864 Wed, 20 Sep 2023 00:00:00 +0000 Credit Card Fraud Detection Based on Feature Selection Using Linear Discriminant Analysis and Deep Artificial Neural Network https://globalpresshub.com/index.php/ARJOCS/article/view/1868 <p>Credit card scams are susceptible to exploitation and are frequently targeted due to their inherent vulnerabilities. The proliferation of e-commerce and several other online platforms has led to an expansion of online payment methods, thereby heightening the susceptibility to online fraudulent activities. In response to the escalating incidence of fraudulent activities, scholars have turned to various machine learning techniques as a means to identify and analyze instances of fraud within the realm of online transactions. The primary objective of this study is to propose and implement an innovative approach for detecting credit card fraudulent activities from the Kaggle European cardholder dataset using a novel Deep Artificial Neural Network (DANN) by stacking multiple hidden layers on top of each other. During the process, the Linear Discriminant Analysis (LDA) algorithm and Synthetic Minority Over-Sampling Techniques Edited Nearest Neighbor (SMOTE-ENN) were used for feature selection and data balancing respectively. SMOTE-ENN is a hybrid sampling algorithm combining synthetic minority over-sampling techniques and edited nearest neighbour. To analyze the performance of the DANN algorithm various metrics, including precision, recall, f-measure, and accuracy were employed. Experimental results demonstrated that the proposed approach achieved an accuracy of 98%, a precision of 100%, a recall of 98%, and an f1-score of 99%.</p> Andrew Ishaku Wreford , Oladunjoye John Abiodun Copyright (c) 2023 © Copyright Global Press Hub. All rights reserved. https://globalpresshub.com/index.php/ARJOCS/article/view/1868 Mon, 25 Sep 2023 00:00:00 +0000