FUOYE Journal of Engineering and Technology最新文献

{"title":"Enhanced Student Support System in Open and Distance Education Using Long Short Term Memory Recurrent Neural Network","authors":"C. U. Ezeanya, F. U. Onu, I. J. Ezea, Omo-Okhirelen Obabueki","doi":"10.46792/fuoyejet.v8i1.955","DOIUrl":"https://doi.org/10.46792/fuoyejet.v8i1.955","url":null,"abstract":"Open and distance education provides access to education to all categories of learners. Learners in Open and Distance education system face the problem of inadequate support services especially when they encounter issues on their studies that need urgent attention. The educational services offered in open and distance education system can only be effective if there is an effective student support system. This study explores the need to enhance the open and distance student support system using Long Short Term Memory neural network. The approach of machine learning was adopted in the area of issue and complaint resolution whereby the issues/complaints are raised in the form of a ticket which is categorized based on their priority. The Last Short Term Memory neural network was used in the prediction of the best solution based on previous input. The enhance student support system was able to provide effective and timely feedback on student issues and complaints. This in turn lowers the rate of student dropout from the system and also provides enabling learning environment for the learners. Machine learning-based student support services improve the effectiveness of the service rendered thereby making the learners improve their academic performance.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128956186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Performance Evaluation of Nine Methods for the Estimation of Weibull Distribution Parameters","authors":"S. Lukman, Saulawa B Sani, M. Asani, S. Ojo, Adesola Oke","doi":"10.46792/fuoyejet.v8i1.947","DOIUrl":"https://doi.org/10.46792/fuoyejet.v8i1.947","url":null,"abstract":"In this paper, a report on the different methods for estimation of the parameter of the Weibull 2-parameter distribution is presented. The nine approaches were compared in terms of their fits using the statistical criteria (analysis of variance (ANOVA), model of' selection criterion (MSC), Coefficient of Determination (CD), Correlation coefficient (R) and Akaike Information Criterion (AIC)) to select the best method.  The study revealed that mean rank is the best method among the methods in the graphical and analytical procedures. Numerical simulation studies carried out show that the maximum likelihood estimation method significantly outperformed other methods based on the MSC, CD, R and AIC. The values for the parameters in the Weibull 3-parameter were 1.316, 105.425 mm/h and 0.293 for α, β and λ respectively. The values of  MSC, CD AIC and R were 1.853 and 1.453, 0.860 and 0.802, 211.891 and 295.978, and 0.927 and 0.895 for Weibull 2 and 3 – parameters respectively.  It was concluded that mean rank, symmetric, Lysen and Moment methods are the best based on the values of MSC, CD and R. Care must be taken in selecting MLM, graphical and least square methods for Weibull distribution parameters determined based on the lower values of MSC, CD and R as well as higher values of AIC.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133305441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An An Optimal Placement of STATCOM Controller on 14-Bus IEEE Standard Test Transmission Network Using Particle Swarm Optimization","authors":"Ebenezer K. Ojo, Ojerinde I. Akinremi, Adesupo H. Adeleke, O. A. Adewale, Charles D. Ajibola, Olabisi Y. Ogunkeyede","doi":"10.46792/fuoyejet.v8i1.941","DOIUrl":"https://doi.org/10.46792/fuoyejet.v8i1.941","url":null,"abstract":"The bulk transport of electrical energy from a generating station to an electrical substation is facilitated by transmission network. Transmission network suffered from unavoidable power loss and there is need to minimize the loss so as to improve the overall efficiency of the network. By strategically placing Static Synchronous Compensator (STATCOM) controller into appropriate location, power loss can be reduced. Factually, one of the most crucial Flexible Alternating Current Transmissions (FACTS) device that control electrical power and increase system power transfer capability is considered as STATCOM. STATCOM is typically installed on the transmission network to reduce power losses and improve the voltage profile of the system. To significantly reduce power losses and improve the system voltage profile, which will ensure the security and dependability of the power system, this research looks into the optimal placement of STATCOM controller on transmission system using Particle Swarm Optimization (PSO) technique. A steady state mathematical model of STATCOM-based Power Injection Mode (PIM) through voltage source representation was derived. The mathematical model was implemented into Newton-Raphson (NR) load flow and PSO technique was used to optimize the exact location of STATCOM in objective to minimize power losses, improve voltage magnitude profile and provide adequate voltage stability to the power system. The voltage magnitude, active and reactive power loss were achieved for load flow solution on 14-bus IEEE test system using Power System Analysis Toolbox (PSAT) in MATLAB Simulink. Results revealed that, all the terminal voltages are within the voltage limits of 1.040 p.u and 1.035 p.u., respectively. The total active and reactive power losses were able to reduce by 6.90 % and 9.13 % respectively. The STATCOM based PSO optimal placement gave a stronger compensatory impact because it helped to reduce power losses and improved the overall network STATCOM-based profile.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114783730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Attenuation due to Atmospheric Gases on the Communication Signal for fixed Satellite Links in Abuja, North Central Nigeria","authors":"M. Olla, O. Akinsanmi, Ilesanmi Banjo Oluwafemi, O. S. Ayodele","doi":"10.46792/fuoyejet.v7i4.907","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.907","url":null,"abstract":"Reliable microwave link system requires models that are location-dependent with meteorological data from location of consideration. Adaptation of models and analytical data from a location with different climatological pattern often prove inadequate when used for another location. Hence, prediction of attenuation attributed to water vapor and oxygen in Abuja (9.0765⁰ N, 7.3986⁰ E), Nigeria requires development of mathematical model using Meteorological data (pressure, temperature and water vapor) for the study area at range of five (5) years. Thereafter, the newly developed models (gaussian, exponential and linear models) were applied to derive new analytical parameters in a wide frequency range from K band, Ka band, X band, Ku band, S band and C band respectively for both the oxygen and water vapor in Abuja (North Central). The proposed model therefore, show significant improvement over the ITU-R model in the sense that, Root Mean Square Error (RMSE) obtained for X-band, Ka-band, S-band and C-band frequency bands is lower than those obtained for ITU-R model.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129738275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aeromagnetic Survey as Reconnaissance Technique for Groundwater Exploration in a Typical Southwestern Nigeria Basement Complex","authors":"M. Aroyehun","doi":"10.46792/fuoyejet.v7i4.949","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.949","url":null,"abstract":"This study was aimed at investigating the causes of reported boreholes failureparts in some part of the Federal Polytechnic Ado Campus using aeromagnetic geophysical method. The aeromagnetic geophysical data covering the area was processed to enhance shallow anomalies using different enhancement techniques such as derivatives and wavelength filters. Total Magnetic Intensity ranges from -28 to 201 nT after removing regional component. Residual magnetic anomaly ranges from -21 to 127 nT; First vertical derivative ranges from -0.18 to 0.36 nT/m; Magnetic Analytic signal (AS) ranges from 0.03 to 0.36 nT/m. It was observed, by correlating the magnetic responses and geology of the area, that rocks underlain the area have close magnetic susceptibility. Consequently, the variations of earth’s magnetism are mainly controlled by sediment thickness and suspected linear structures which are major factors in basement complex groundwater exploration. The probable depth to basement in the study area ranges from 8.13 to 74.05 m as revealed by AS and spectral method, which implies thicker regolith in southern part of the study area than northern part. However, linear structures are evenly distributed across the study area. Therefore, the groundwater potential of the southern part of the study area is higher due to regolith thickness. The failed groundwater boreholes that are prominent in northern part of the study area are not located on linear structures. Therefore, basement depth and linear structures should be considered during reconnaissance survey in groundwater exploration in a typical Basement Complex terrain.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126278832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Heavy Metals Concentrations Profiles in Groundwater around Soluos Dumpsite in Lagos State, Nigeria","authors":"F. Adeyemo, L. Salami","doi":"10.46792/fuoyejet.v7i4.942","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.942","url":null,"abstract":"Water pollution is a threat to human life. Heavy metals in leachates from dumpsites pollute groundwater within the vicinity of the dumpsites. This work was carried out to predict the heavy metals concentration profiles in groundwater around Soluos dumpsite in Lagos State. A one dimensional transport model with a decay factor component was used to predict the concentration profiles of heavy metals in groundwater within the vicinity of Soluos dumpsite using finite difference techniques implemented in matrix laboratory (Matlab) 7.9. the concentration profiles for heavy metals considered in this work which include lead (Pb), copper (Cu), nickel (Ni), chromium (Cr) and Iron (Fe) were similar but different in term of concentrations values. The one dimensional transport model used predicted the experimental data from groundwater at the depth of 22 m within the vicinity of Soluos dumpsite up to 98 percent confidence level compare to a one dimensional transport model without a decay factor which predicted the experimental data up to 94 percent confidence level in the work of Salami and Susu. The concentration profiles of heavy metals in groundwater were also predicted at the depths of 38, 46, and 54 and 62 m. It was shown that the one dimensional transport model with a decay factor component yeilded a better prediction of heavy metals in groundwater around Solous dumpsite than the one dimensional transport model without a decay factor. The predicted concentration profiles at various depths can be used as a guide to determine the depth to which boreholes within the vicinity of Soluos dumpsite should be dug for the purpose of provision of good groundwater.    ","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124862660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Derivation of the Rainfall Intensity, Duration and Frequency Equations for Makurdi, Nigeria","authors":"K. Bolorunduro, O. Olayanju, I. A. Oke","doi":"10.46792/fuoyejet.v7i4.915","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.915","url":null,"abstract":"Information and adequate data on intensity–duration–frequency of rainfall are regularly required for a variation of hydrologic, environmental and hydraulic applications. This paper presents rainfall intensity-duration-frequency equations for Makurdi, Nigeria. Rainfall intensities from Makurdi were used to establish empirically derived constants for about thirteen different equations. These equations were evaluated statistically using analysis of variance (ANOVA), total error, model of' selection criterion (MSC), Coefficient of Determination (CD), Correlation coefficient (R) and Akaike Information Criterion (AIC), with the main objective of selecting the best equation for the location. The study revealed that rainfall intensity can be expressed in terms of either the amount of rainfall time only, frequency or both duration of the rain and time of return with empirically derived constants. Statistical evaluation revealed that the correlation coefficients of equations for Makurdi were between 0.896 and 0.894, respectively. Model 12 was discovered to be most accurate model for prediction of rainfall amount as against model 15 presented in literature. The model had the highest correlation coefficient for Makurdi. According to findings, functions of the duration of rainfall, return time, and empirically derived constants are the best functions, which explains the severity of the rain the best based on the values of MSC, CD, AIC and R.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121591640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling Moisture Ratio of Dehydrating Yam Slices Using the Levenberg-Marquardt Back-propagation Artificial Neural Network Technique","authors":"A. A. Akinola, Gabriel A. Okanlawon","doi":"10.46792/fuoyejet.v7i4.923","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.923","url":null,"abstract":"This study predicts the moisture ratio history data of dehydrating yam slices from partial data using Artificial Neural Network (ANN) techniques. The moisture ratio history data at 65 oC, 75 oC, 85 oC, and 95 oC were recorded for the dehydration of 1.5 mm, 3.0 mm, and 4.5 mm thick yam slices in a Refractance Window Dryer. The Artificial Neural Network within MATLAB software (v. 8.5), using the Levenberg-Marquardt back-propagation algorithm, was trained with some of the data. After training, the Neural Network software predicted the moisture ratio of the primary variables not used in training. The predicted and experimental values were compared. The results showed that, the Artificial Neural Network (ANN) model using the Levenberg-Marquardt back-propagation training algorithm could accurately predict the experimental results not used in training., the predicted and observed data values fitted each other with correlation coefficient (R2) values of 0.97, 0.99 and 0.99, respectively, for the three-process condition considered. The high R2 establishes a strong correlation between the experimental and predicted values. This work is essential as it establishes that Artificial Neural Network (ANN) techniques, using the Levenberg-Marquardt back-propagation training algorithm, can predict food samples moisture ratios of in a drying process when data is incomplete.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115272046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the Level of Occurrence and Impact of Exogenous and Endogenous Risk Factors in the delivery of Educational Building Projects","authors":"B. Adebayo, N. Olatunde","doi":"10.46792/fuoyejet.v7i4.953","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.953","url":null,"abstract":"Construction projects are greatly affected by endogenous and exogenous risk factors. The purpose of this study is to investigate risk factors with high levels of occurrence and their impacts on project goals. These will help in finding the most appropriate mitigating strategy used by contractors on educational building projects with a view to enhance performance and reduce cost. A convenience sampling method was used to select 3 professionals each from 44 contracting firms working in the Educational building construction projects in Ekiti State, Nigeria. Forty-eight risk factors were identified through a review of literature. Data was collected through a structured survey and the data was analysed using Mann-Whitney U-test, Mean item score and frequencies.  The results showed that inadequate funding by the client, the financial instability of contractors and suppliers, fluctuations in market price and inflation (all finance related) are the most critical risk factors in terms of the level of occurrence and impact. These factors had a great effect on project success. The study highlights risk factors that are capable of causing negative effects on the success of educational building projects. It also helps to solve the problems associated with the handling of risk by contracting firms. The study will be of value to stakeholders in providing the information needed to devise response strategies to minimise the impact of a risk on projects.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133005855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Unified Federated Framework for Internet-of-Things Security Challenges","authors":"A. Fadele, Abayomi Jegede, E. Dada, A. Oloyede","doi":"10.46792/fuoyejet.v7i4.816","DOIUrl":"https://doi.org/10.46792/fuoyejet.v7i4.816","url":null,"abstract":"\u0000The protection of sensitive information is among the top priorities of organizations that are involved in manufacturing. Because of this, businesses are afraid of sharing their data with other parties so that they may construct predictive and prognostic models. In such a situation, it is difficult to construct complete models to forecast the breakdown of assets since data from a single firm would not provide the needed range of operating regimes and failure types. Recently, the Internet of Things (IoT) has gotten a lot of interest because of the vast variety of applications it has in numerous fields that communicate across multiple levels of the Internet infrastructure. The Internet of Things is composed of three layers: the physical layer, the network layer, and the application layer. This paper discusses security threats and responses for each layer of the IoT. The research examines different current state-of-the-art IoT security frameworks and suggests a unified IoT network security framework name \"A Unified Federated Security Framework.\" The fuzzy cognitive maps used in the proposed framework are used to represent and evaluate trust connections between entities in federated identity management systems. For Internet of Things networks, the unified federated security architecture suggested in this paper offers comprehensive security characteristics. It also allows for the accurate categorization of all assaults and the capture of the different dangers, which allows for the development and implementation of improved defenses. \u0000","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122381381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}