bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting Non-Newtonian Fluid Electric Submersible Pump failure using Deep Learning and Artificial Neural Network
Authors: Okoro Emmanuel E. , Sanni Samuel E. , Okigbo Amarachi , Adeyemi Fisayo , Emetere Moses E. , Obomanu Tamunotonjo 
Published: February 2021

Abstract
The monitoring of electric submersible pumps (ESPs) is essential for optimal petroleum artificial lifting operations. Most ESP research are aimed at operation improvement and optimization of the centrifuge multi-stage pump motor and the load that the pump has to discharge which is a function of the pumps mechanical properties and characteristics, liquid compositions, pressure and temperature. ESPs failure often lead to oil production losses or “oil deferment” which affects revenue for all the parties involved. Also, pulling the ESP out of the wellbore of interest, requires mobilization of a rig because it is installed several hundred meters down the wellbore. To prevent these loses, a predictive approach is needed to avert these scenarios. In the current decade, machine learning algorithms studies have spurred real- time technologies research interest due to their abilities to predict future outcomes using already existing data sets. This study presents a predictive approach for Electric Submersible Pump failure during artificial lift operations. The study creates an “algorithm” that helps to predict via Machine learning, the failure of an ESP with the assumption that failure is usually caused by pressure build-ups. A deep learning model for predicting ESP failure was proposed and artificial neural network was used in developing the suggested model. Based on the outcomes of this study, it can be concluded that the selected AI algorithm and its characteristics, are suitable for applications in detecting ESP failure before it happens using upstream-data.
Development of PIC18F4431 microcontroller controlled air conditioning system
Authors: Sheu Akeem Lawal , Adagunodo Theophilus Aanuoluwa , Oladejo Olagoke Peter , Omeje Maxwell 
Published: February 2021

Abstract
The aspiration for high performance industrial applications increases owing to advance in the field of power electronics. This contributed to swift developments in digital motor control technology. High energy consumption and poor efficiency are major challenges of motor driven appliances. These appliances need cost-effective solutions controlled drive that improves process precision, cuts operating costs and facilitates less energy. The goal of this research is to develop feasible motor control air conditioning system. The developed system describes the optimization and designing of a microcontroller controlled drive with speed sensing. It is PIC18F4431 based microcontroller primarily for motor control applications. This study focuses on speed control of induction motor using PIC microcontroller through PWM technique. The result of the research indicates that at the 5% air flow rate, the air conditioner without the drive consumed about 87% energy whereas the microcontroller based drive only consumed 20% energy at the same flow rate. This indicated the energy saving of about 67% by the air conditioner with the adoption of PIC18F4431 microcontroller controlled drive.
Big data analytics: A single window IoT-enabled climate variability system for all-year-round vegetable cultivation
Authors: Nwankwo Wilson , Ukhurebor Kingsley Eghonghon 
Published: February 2021

Abstract
Vegetables constitute a major food source with huge nutritional values as well as major source of income. The cultivation of vegetables is dictated by climate and seasonal changes across Nigeria. Edo State lies within the South of Nigeria and enjoys the two popular seasons (rainy and dry) like many other parts of the country. However, the variability in soil distribution and weather conditions across different locations is a determining factor as to the category of not just vegetables to grow but other crops. In this paper, Edo state is used as a flagship project for its diverse potentials and uniqueness in respect of known variability in soil and weather conditions. The State is divided into three geo-referenced agricultural districts. A prototype system is proposed to provide vegetable farmers with real-time information on vegetablefarming requirements. The proposed system is an Internet of things (IoT)-enabled climate variability system with interfaces to popular mobile networks, existing Geographical Information System (GIS) in the State, and remote sensing stations respectively. Each geo-referenced point is a nexus to areas with similar weather variability and soil distribution. Historical data is collected from the existing GIS and a provision is made to constantly enrich the historical data with new information from the geo-referenced points including crops grown, trends in cultivation, queries from farmers, etc. The information generated from the geo-referenced locations are routed via GPS to the central analytics server in the cloud and appropriate algorithms are used to carry out data analysis for real-time prediction and messages to farmers through the Internet and Short Message Services (SMS). With this system, it is submitted that subsistent and mechanized farmers would benefit through the guidance of an analytics system thereby boosting vegetablefarming regardless of the season of the year.
Design and testing of an air battery
Authors: Oguntosin Victoria , Akindele Ayoola 
Published: February 2021

Abstract
In this paper, an air battery is studied, discussed, implemented and deployed; the potential applications of air batteries in general are also discussed in detail. An electrochemical battery runs out when all the chemicals inside have finished the current-releasing chemical reactions. In this work, an air battery system is designed and studied using Sodium Chloride (NaCl) and Caustic Potash (KOH) electrolytic solution. The battery life of the designed air battery system is studied in terms of voltage capacity for a period of 4 weeks and 4 days (750 hours) for two air batteries connected in series. As the electrolytic chemicals are being used up when the battery is in operation, it was observed that voltage rating degraded over time even when the battery system is not connected to a load. From the results, an air battery with KOHelectrolytic solution produced a higher voltage compared with NaCl electrolytic solution
Construction of a Mobile Frequency Modulation Transmitter
Authors: Usikalu Mojisola R. , Oyeniran Fumbi T. , Ayara Williams A. , Babarimisa Idowu I. , Obafemi Leke N. 
Published: February 2021

Abstract
A Frequency Modulation (FM) transmitter is an electronic device that produces radio waves with the aid of an antenna. The transmitter generates radio frequency alternating current, that is applied to the antenna. When the antenna is excited by the alternating current, the antenna begins to radiate radio waves by varying the frequency of the radio signal. The transmitter is a Very High Frequency (VHF) Colpitts oscillator capable of transmitting sound to standard FM receiver fitted with a capacitor microphone which picks weak sound signals. This design was achieved using: transistors, resistors, inductors and capacitors. A transmission frequency of ± 5% 100 MHz was used and transmitted up to a distance of 5 metres. The testing of the transmitter was carried out by powering it using a 9 V DC battery and tuning a suitable FM receiver to the transmission frequency of the constructed transmitter. A transmission distance of 5 metres was achieved therefore making it possible to use the transmitter as a portable cordless microphone used for public address (P.A.) systems. The achieved fixed frequency of transmission 56.4 MHz, away from all other radio stations transmission frequencies. This gives the best range and with the least of interferences. With increased power, the range can easily be extended.
Arduino Based Security System using Passive Infrared (PIR) Motion Sensor
Authors: Akinwumi S. A , Ezenwosu A. C , Omotosho T. V , Adewoyin O. O , Adagunodo T. A , Oyeyemi K. D 
Published: February 2021

Abstract
Technological advancements are so fast as of now to make individuals need consistently to be inventive and trigger to make something new which can be applied and can utilize rapidly and for all purposes and control from close range and distance. There has been drastic increase in theft and burglary, robbing of houses, stores, shops and banks etc. This has also increased the number of violence and crime related activities which occur on a daily basis, in which lots of lives and monetary loses have been recorded. This research focuses on how to configure a simple home security framework using a PIR sensor(Passive Infra-Red) in light of a microcontroller. This safety will work if the PIR (Passive Infra-Red) sensor recognizes any individual that would not like to go into the house, and afterward themicro-controller process and instructs a mobile phone to send an alarm signal in theform of Short Message Service (SMS). After the program was successfully uploaded to the circuit, a test was carried out to determine if the PIR worked perfectly and it came out with positive results as it detected motion. As a motion was detected, the sensor became active, therefore gave a signal to the Arduino which gave an output signal to the led and thereby making the buzzer to sound an alarming noise.
Prediction of Lattice Constants of some Transition Metal Nitrides using Different Functionals and Pseudo-potentials
Authors: Oyewande O. E. , Atsue T. , Ogunniranye I. B. , Usikalu M. 
Published: February 2021

Abstract
Properties of materials are best analyzed when lattice parameters of such compounds of materials are predicted accurately. In density functional theory prediction of lattice parameters, density functionals play important role in obtaining accurate values. In this study, density functional theory was used to investigate accurate prediction of lattice parameters of some transition metal nitrides. Local Density Approximation (LDA) and Generalized Gradient Approximation of Perdew-Burke-Ernzerhof revised for solids (GGA-PBEsol) functionals combined with ultrasoft and projector augmented wave (PAW) pseudo-potentials were used for the investigation. The results indicated that GGA-PBEsol functional with PAW pseudo-potential performed better in predicting lattice parameters of these compounds. ForFeN compound, the calculated lattice parameter with GGA-PBEsol functional and PAW pseudo-potential was 4.232 Å compared with the experimental values of 4.307 Å and 4.296 Å corresponding to a little underestimation of about 1.74% and 1.49% respectively. Ultrasoft pseudo-potential of GGA-PBEsol functional and LDA functional with the two pseudo-potentials overestimated the lattice parameters for over 5%. It was concluded that, for the functionals and pseudo-potentials considered, GGA-PBEsol with PAW pseudo-potential may be a very good choice for prediction of lattice parameters of binary compounds with transition metals.
Analytic ground state energy and wave function of a quantum system in an exponential-form anharmonic interaction potential
Authors: Babalola Israel B , Oyewande Oluwole E , Latok Idowu H , Olawole Olukunle C 
Published: February 2021

Abstract
An anharmonic oscillator with a perturbed quadratic potential which is coupled with an exponential term is being investigated in this paper by isolating an anharmonic oscillator interaction potential from the actual interaction experienced by the quantum system studied, and using standard perturbative techniques. The anharmonic potential considered is of interest because of its usefulness in the study of non-centrosymmetric materials which have applications in piezoelectricity. The ground state energy eigenvalue and its associated eigenstates were calculated for the quantum system using an analytical approach. Results obtained are compared to those of quantised harmonic oscillator to show the effect of the perturbation.
Humidity and Moisture Degradation of Perovskite Material in Solar Cells: Effects on Efficiency
Authors: Ogunniran Kehinde O. , Martins Nlebemuo T. 
Published: February 2021

Abstract
Humidity is the concentration of water vapor in air and moisture is the relatively small amount of water in a material. The two both have positive and negative influences on the development of perovskite solar cells. It is becoming increasingly clear that the effects of humidity will be a key factor to drive the commercialization of this promising new solar cell technology. The interface amid MAPbI3 and water vapor has been explored and studied by different researchers through optical absorption spectrometry, morphological and crystallographic studies. These studies have helped to demystify the complex interactions going on in the system. A particular study reported the possibility of a perovskite molecule forming a hydrate compound when exposed to H2O vapor in the dark coupled with its dissolution of MAPbI3. Some researchers have said that to improve the stability of this device in moisture. The device must be studied as a whole system rather than studying just the individual components. This review paper explores the works done on perovskite stability highlighting how humidity and moisture affect both the preparation and performance of perovskite material and perovskite solar cell.
Emissions of CO and SO2 from solvent extraction treatment of used lubricant
Authors: Oladimeji Temitayo E. , Sonibare Jacob A. , Omoleye James A. , Emetere Moses E. , Odunlami Olayemi A. 
Published: February 2021

Abstract
Emissions fromused lubricant could have adverse effect on man and its environment due to the presence of degraded additives and contaminants. Different treatment methodshas been developed with few check on its pollution aspect. This study investigated the emissions of two major criteria pollutants - carbon monoxide (CO) and sulphur dioxide (SO2) from the solvent extraction treatment of used lubricant. CO was found to be the highest emitting pollutant with mean emission concentration of 85.85 mg/m3 which has exceeded the set NAQS standard while SO2 falls within the standard limit. Therefore, there is a great need to give attention to the control of CO emissions around the treatment plant. However, CO emission can be controlled by employing a CO converter to convert the poisonous gas to a less poisonous gas or substituting the existing process in solvent extraction with a more environmentally friendly one.
Analysis of entropy and effect of surface dynamics on photovoltaic performance
Authors: Abodunrin T.J. , Usikalu M.R. , Emetere M.E. , Yenus Z. , Kotsedi C. , Maaza M. 
Published: February 2021

Abstract
We investigate the influences of photoanode on light scattering and absorption in a dye-sensitized solar cell (DSSC). N719 dye on a monolayer anode of TiO2 film and ZnO film, are compared in terms of their photovoltaic conversion efficiency. Doctor blade application and high temperature sintering of photoanode assemblage on indium doped tin oxide glass was adopted for preparation of the two photoanodes. The optical density of the interfacial layer relative to the photogenerated carriers is determined by absorption of ionic electrolytes. The outcome obtained with different photosensitizing effect of organic T.danielliimolecules on DSSCs showed a wide disparity, the highest Voc was recorded with Br− with 500 mV and 79 mV respectively for TiO2 and ZnO photoanode respectively. Three important morphological characterization techniques were used, scanning electron microscopy (SEM) with energy dispersive spectrum (EDS), Electron shell occupancy and Entropy were discussed in detail with respect to their photoelectric performance, the best Iscwas 0.035 mA with Br− on TiO2 attributable to a large optical density, achieved from ratio of area of molecular coverage of nanoparticle film. Scanning electron microscopy (SEM) revealed a structure consisting of direct and ordered paths for photogenerated carriers to the collecting electrodes, the Pmaxresult reported was 36.54 mW with Br− from TiO2.
First principles assessment of the performance of pseudopotentials on cubic phase MAPbI3 perovskite using PBE functional
Authors: Micheal Emeka , Oyewande O.E. , Adegboyega Oluwasogo A. , Akinyemi M.L. 
Published: February 2021

Abstract
Perovskites have shown to be an excellent material for photovoltaics applications, due to its opto-electronic properties and low cost of fabrication. This paper is focused on assessing the performance of different pseudopotentialsinpredicting some opto-electronic properties of methyl ammonium lead iodide (MAPbI3) cubic phase perovskite in comparison with experimental results using ab initio density functional theory (DFT) as implemented in Quantum-espresso software. The pseudopotentials used were; Projector Augmented Wave (PAW) and Ultra-soft (US). From the study, it was observed that Perdew Burke Enzerhof (PBE) functional with Ultra-softpseudo potential gave a lattice constant of 6.20 A
0 while the mixed pseudopotentials gave a band gap value of 1.64 eV, which were in closer agreement with experimental results of 6.27 A
0 and 1.60 eV respectively. These simulated results suggested that PBE-US pseudopotentials give a better lattice constant estimate, while the mixed pseudopotentials give a better estimate of the band gap of cubic phase MAPbI3 perovskite.
Monte-Carlo Study of Ion-Sputtering Parameters and Ab-Initio Calculations of Selected Perovskites for Solar-Powered Electricity
Authors: Oyewande O. E , Akinpelu A 
Published: February 2021

Abstract
Attributable to efficiencies as high as 25.2%, organic inorganic hybrid perovskite has become the quickest developing solartechnology, rivalling the conventional photovoltaic technology. Although, they are unique and remarkable, stability concern and toxic behaviour of perovskites impedemass production. With this impetusofrealizing a non-toxic perovskite, a new approach was proposed by performing Monte Carlo simulations. In this paper, this approach was further studied with an First principlesinvestigations using the plane-wave pseudopotential method within the density functional theory (DFT) as employed in Quantum ESPRESSO (QE) software package. Mechanical and electronic properties of CH3NH3PbBr3, CH3NH3SnBr3, CH3NH3SnI3, and CH3NH3PbI3, perovskites were investigated. Lattice constants were calculated to understand the mechanical properties, while band gaps were calculated to shed more light on their electronic properties. Our resultswere compared with the experimental and theoretical values and found a good agreement between them. These indicated that the two materials were remarkably similar and that Sn was a good substitute for Pb in solar cell perovskite materials.
Capital Flight and Poverty Reduction in Nigeria
Authors: Alejo A. , Aremu J. , Matthew O.A. , Owolabi O.A. , Okorie U.E. , Osabuohien R. A. 
Published: February 2021

Abstract
The literature from development economics asserted that two major spillover effects of the prevalence of capital flight and low rate of investment in developing economies are the persistent increase in unemployment and absolute poverty. Since an increase in the poverty rate can be viewed in terms of forgone private and public investment in some poverty reducing programmes like education, health intervention and job creation. Thus, this study investigates the interplay between capital flight and poverty reduction in Nigeria using secondary data covering the period between 1981 and 2017. This study employs the Augmented Dickey Fuller (ADF) test; Philip Perron (PP) test; Kwiatkowski, Phillips, Schmidt and Shin’s (KPSS) all forms of unit root tests; Johansen test for co-integration and Dynamic Ordinary Least Square (DOLS) for long run estimates. The study found that an increase in poverty level in the country would be preceded by raising capital flight coupled with increasing dependence ratio and decline in economic growth rate. In this scenario, the effect of a single digit economic growth is dissipated once the circle continues unabated. Consequently, this study recommends that the Federal Government of Nigeria through the relevant financial authorities should enforce regulation against illicit flow of capital and prosecute offenders. The Federal Government must be seen to support the agency efforts against illicit flow in the country.
Climate Change Mitigation Strategies: A Case of Manufacturing Companies in Ota, Nigeria
Authors: Tunji-Olayeni P.F. , Osabuohien E.S. , Oluwatobi S.O. , Babajide A.A. , Adeleye B.N. , Agboola M.G. 
Published: February 2021

Abstract
Carbon emissions (C02) from manufacturing companies contribute significantly to the volume of atmospheric Greenhouse Gases (GHGs) that trigger climate change. Mitigating climate change has become necessary because of the effects it has on social, economic and environmental outcomes. The minutest action taken against climate change can reduce its devastating impacts. Hence, this study assesses the strategies used by manufacturing companies in mitigating climate change. The study location is Ota, Nigeria. In this paper, a quantitative research approach was adopted with questionnaires distributed to participants at a climate change workshop, which is analysed using statistical techniques. The results show, among others, that all the respondents are aware of climate change and the most common source of climate change knowledge is the mass media. Moreover, most of the respondents describe climate change as a rise in global temperatures. Waste reduction, waste recycling, and waste reuse are the most common climate change mitigation strategies adopted by the manufacturing companies. Other mitigation strategies include: use of energy-saving bulbs in offices and factories and switching off electrical appliances when not in use. Although the findings indicate that the manufacturing companies are taking some steps to mitigate climate change, a lot still has to be done in reducing carbon emission levels, particularly during the manufacturing process. It is also essential that manufacturers use renewable energy sources as alternative power instead of diesel generators so that the volume of atmospheric carbon in the region can be reduced considerably. The role of government in driving emission reduction is also emphasised. The study provides baseline data that can be used in the development and implementation of policies on regional climate change mitigation strategies.