bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stability and Sensitivity Analysis of Yellow Fever Dynamics
Authors: Otoo Henry , Appiah S. Takyi , Arhinful D. 
Published: February 2022

Several West African countries have recently reported of Yellow Fever outbreaks. Ghana recently recorded an outbreak which lead to the death of three (3) people in the West Gonja District of the Northern Region. These indicate the re-emergence of the deadly disease. This research proposes a deterministic mathematical model through non-linear ordinary differential equations in order to gain an accurate insight into the dynamics of yellow fever between human beings and the vector Aedes mosquito in an unvaccinated area for the purpose of controlling the disease. The disease threshold parameter was obtained using the next generation matrix. The Gerschgorin theorem proved the disease-Free equilibrium and the Endemic equilibrium to be locally asymptotically stable for and respectively. The Lyapunov function proved the disease-Free Equilibrium to be globally asymptotically stable for . In order to study the effect of the model parameters to , the sensitivity analysis of the basic reproduction number with respect to epidemiological parameters was performed.
Non-Destructive Characterization of Subsurface Plastic Deformation in Case Carburized Steel Using Magnetic Barkhausen Noise Technique
Authors: Blaow Mohamed M. , Ballem Mohamed Ali , Shaw Brian Andrew 
Published: February 2022

The effect of extreme loading in bending was investigated by magnetic Barkhausen Noise (MBN) and X-ray diffraction (XRD) in two types of inhomogeneous steels that widely used in gear industry. EN 36 and H8620 steels in the carburized, tempered and ground condition were investigated after unloading from high stress levels. The inhomogeneity arising from the variation in carbon content showed up clearly by double peaks MBN profiles before loading. The first MBN peak at low field revealed the soft subsurface region and the second peak at higher field revealed the hard surface layer. Residual stresses profiles were produced by XRD before and after loading to probe plasticity in the cross sections of both specimens. Barkhausen noise measurements showed a considerable change in the first peak height in both steels as a response to plastic deformation in tension and compression in the subsurface material. The height of the second peak remained unchanged in EN 36 specimen but increased slightly in the H8620 specimen. The residual stress measurements after unloading indicated that the subsurface materials after a depth of 0.4 mm in both specimens were yielded. The surface layer of the H8620 steel was also affected slightly by bending as revealed by an increase in the second MBN peak height and confirmed by XRD as indication of yielding. The experiment confirmed that the magnetic Barkhausen noise can be used to characterize yielding in inhomogeneous steels non-destructively.
Modeling Soil Organic Carbon in Crude Oil Contaminated Soil in the Niger Delta
Authors: NWAKWASI LEVI NGOZI , Okoro B. C. , Osuagwu J. C. , Nwachukwu A. N. , Agunwamba J. C. 
Published: February 2022

Oil spillage is a major environmental threat in south south of Nigeria where most of oil exploration and exploitation activities takes place. If this goes on unchecked or poorly managed, it would lead to total annihilation of the ecosystem. The objective of this study is to develop a model for the prediction of potassium depletion in the crude oil contaminated soil with time using regression analysis. Each sample containing 10kg of soil was artificially polluted with 0.5, 1.0, 1.5, 2.0, and 2.5 liters of crude oil (Bonny Light). The potassium concentrations were determined using standard methods. Results shows that the concentration of residual potassium in the soil for all the volumes of crude oil introduced into the soil decrees significantly with time when compared to values obtained for the control samples. The concentration of residual concentration in the control soil sample was about three times higher than the concentration obtained for other samples. The results obtained from the derived model were very close to the experimental value. The model is suitable for determining potassium content in crude oil polluted site.
EDCH: A Novel Clustering Algorithm for Wireless Sensor Networks
Authors: Pyage Raj Kumar , Chandrakanth H. G. 
Published: February 2022

In wireless sensor networks, sensor nodes play the most important role. These sensor nodes are mainly un-chargeable, so it an issue regarding lifetime of the network. The main objective of this research is concerning clustering algorithms to minimize the energy utilization of each sensor node, and maximize the sensor network lifetime of WSNs. In this paper, we propose a novel clustering algorithm for wireless sensor networks (WSN) that decrease the networks energy consumption and significantly prolongs its lifetime. Here main role play distribution of CHs ( Cluster Heads) across the network. Our simulation result shows considerable decrease in network energy utilization and therefore increase the network lifetime.
Economic Analysis of Natural Gas Reserves Addition from Coal Bed Methane in Nigeria
Authors: Green Ibim Abba , Ugoji Kelechi Uchenna , Igbere B. Ndukam 
Published: February 2022

The aim of this project is to economically analyze Coal Bed Methane (CBM) development in Nigeria. This will offer an opportunity to use gas from the Nation huge coal reserves for domestic and exportation purposes to boost the economy of Nigeria. CBM can be used to generate power as well as manufacture alternative products. The profitability of coal bed methane (CBM) project depends on factors such as seam thickness, gas content, methane content, coal rank and permeability. Its economics are influenced by other variables, such as fiscal policy, depth of coal seam, volume of water disposal, access to market and price of gas. Potential and existing sites for coal bed methane extraction in Nigeria were identified. Kim’s equation was used to estimate the gas content. The gas-in-place was derived with Volumetric method. Methane quantification was estimated using Eddy curve. It is observed that the ultimate reserves, the capital costs, and the gas price have significant effect on the net present value (NPV) and internal rate of returns (IRR) and thus the economic viability of the project. Economic analysis of LNG and Pipeline projects for gas transmission were comparatively examined. It is observed that the gas price and demand at the market hub depend largely on the mode of transmission.
Production of Biogas from Cattle Paunch Manure
Authors: Mohammed Mona Khidir , Gasmelseed G. A. , Abuuznien Mohammed H. 
Published: February 2022

Slaughter house waste contains high levels of organic matter and pollutants. These pollutants can affect the ecosystem and public health negatively, to minimize the effects of these pollutants many treatments are used, one of these is biological treatment methods. In this study potential of biogas production from cattle paunch manure (stomach digestion content) was investigated using a batch process laboratory scale of liters digester size. Three replicate of total solid concentration of (5%, 7%) of cattle paunch manure were mixed with (10%v/v) inoculums with control units for each concentrations at room temperature. The total amount of biogas produced after 49 days of experiments were, 12.678 L, 11.544 L, 8.154 and 5.724 L for, 7% ,5% TS seeded sample, 7% and 5% total solid control respectively.
Industrial Waste Management by Sustainable Way
Authors: Rasel Md. , Zerin Israt , Bhuiyan Sakib Hossain , Hoque Kazi Md Hasanul , Hasan Mazadul , Alam Md. Mahabub 
Published: February 2022

Nowadays Industrial waste management is the key concern over the world. Biogas generation and bio-compost from knitting, cutting, spinning waste is one of the right and sustainable way of waste management. Wastage is generated almost all process in spinning, knitting and cutting in the industry. Cotton contains huge amount of dust, foreign-matters, seed and other particles. Micro dust of cotton waste has no salability and pollutes the atmosphere. Mostly, it is disposed of by burning as a result increase the CO2 level in the atmosphere which is the threat for environment as pollutes the surrounding areas. The main objective of this project is sustainable use of cotton waste by producing biogas and utilization of Slurry after Biogas Generation. Biogas generation by anaerobic digestion is sustainable, cost effective and eco-friendly method in Bangladesh. Finally, our concern is to maximum utilization all collected cotton wastes in a sustainable way i.e. anaerobic digestion way. Our experiments on wastes where those wastes produced bio-gas such as spinning cotton micro dust: 1st of all for production of gas to observe; after 30-40 days of feeding 180cc biogas was generated from 100g cotton spinning dust via lab scale biogas plant & gas also confirmed via flammability test. On the other hand smaller size of cotton cutting jhut fabric show comparatively low gas production and found that gas production depend on decomposition rate of cotton waste. Slurry treatment applied in a plant after generation of biogas and output of this application showing that many new leafs were grown and looking more refresh within 12-14 days. So, unusable spinning cotton waste can be resources for our economy and environment instead of hazards or waste. We have recommended that yarn singeing machine can be run by produced biogas.
Novelty of Frequency Domain Data in Smart Structures using ?-Analysis
Authors: Moutsopoulou Amalia John , Stavroulakis Georgios E. , Pouliezos Anastasios D. 
Published: February 2022

This paper deals with the advantages of robust control in smart structures. First we present the implementations of H infinity control in the frequency domain. A dynamic model for smart structure under wind excitations is considered. Then robust control theory is used a model to synthesize controllers achieving stabilization with guaranteed performance for smart structures. We use ?-analysis to express the control problem as a mathematical optimization problem and then find the controller that solves the optimization problem in the frequency domain.
Simulation of Rainfall Runoff Process Using HEC-HMS Model for Upper Godavari Basin Maharashtra, India
Authors: Patil Vaishnavi Kiran , Saraf Vidya R. , Karad Omkesh V. , Ghodke Swapnil B. , Gore Dnyanesvar , Dhekale Shweta S. 
Published: February 2022

The Hydrologic Engineering Centers Hydrologic Modeling System (HEC-HMS) is a popularly used watershed model to simulate rainfall- runoff process. Hydrological modeling is a commonly used tool to estimate the basin’s hydrological response due to precipitation. It allows to predict the hydrologic response to various watershed management practices and to have a better understanding of the impacts of these practices. It is evident from the extensive review of the literature that the studies on comparative assessment of watershed models for hydrologic simulations are very much limited in developing countries including India. In this study, modified SCS Curve Number method is applied to determine loss model as a major component in rainfall-runoff modeling. The study of HEC-HMS model is used to simulate rainfallrunoff process in Nashik region (Upper Godavari basin), Maharashtra. To compute runoff volume, peak runoff rate, and flow routing methods SCS curve number, SCS unit hydrograph, Exponential recession and Muskingum routing methods are chosen, respectively. The results of the present study indicate that HEC-HMS tool applied to watershed proved to be useful in achieving the various objectives. The study confirmed a significant increase in runoff as a result of urbanization. It is a powerful tool for flood forecasting Index
Exergetic and Energetic Analysis of a Traditional Semi-Industrial Comorian Ylang-Ylang Essential Oil Wood Fire Distiller
Authors: Ahamadi Malik El'Houyoun , Saindou Abderemane , Rakotondramiarana Hery Tiana 
Published: February 2022

In this article a study of the energy performance of a distillation system of ylang-ylang essential oil on a wood fire was carried out. To do this an analysis using the first and the second low of thermodynamics was made for each component of the distillation system. The analysis showed that the energy efficiency depends on the fration of oil to be distilled and that the whole system is very deficient. The exergetic and energetic analysis shows that it is in the combustion chamber that has a large amount of destroyed exergy and a strong energetic loss. The velocity of the air entering at the combustion chamber greatly influences the efficiency of the chamber. Indeed it has been found that the destruction of the exergy increases with the velocity of the air incoming air.
Factorial Study of Bottlenecks in Nigerian Petroleum Refineries
Authors: Adeleke Tunde Basit , Igboanugo A. C. , Chime N. B. 
Published: February 2022

Bottlenecks in the refineries lead to the disruption of refinery operations which result in production loss and time wastage. Nigerian refineries are four and they have not been able to work optimally as they have failed to produce up to their installed capacity. A lot of factors are contributing to this and are known as bottlenecks. This study was taken so as to identify those bottlenecks in the refineries with a view of making them known so that actions can be taken to tackle them and get Nigerian Refineries move from their pariah states to a welcome state. Kendall’s Coefficient of Concordance (K.C.C) and Principal Component Analysis (P.C.A) which are tools in factor analysis were employed. The K.C.C helped in ranking the identified variables according to their order of importance while the PCA helped to achieve parsimony through factor reduction. The results obtained revealed that the experts ranking of the thirty two scale items were in agreement at an alpha level of 0.01 and the computed coefficient of concordance was 0.51which is substantial. The thirty two scale items were able to be reduced into mere five clusters by PCA. A lone variable cluster which was labeled creatively ‘Government interference’ came up trump and account for most of the challenges being experienced in the Refineries. Other clusters labeled creatively were Eclectic issues, organizational management, Supply Chain Architecture and Personnel Management. The import of this is that government interference needs to be removed if refineries are to work optimally and the remaining four clusters should also be looked at in order to tackle these bottlenecks.
Evaluation of Oil Desorption from Shale and Sandstone by Surfactant Solutions with Implication to Oily Drillcuttings Decontamination
Authors: Muherei Mazen Ahmed 
Published: February 2022

In this paper, batch experiments of shale/sandstone aqueous systems were conducted to evaluate desorption of spiked oil from shale and sandstone using surfactant solutions. The desorption experimental study was designed to determine if selected surfactants in aqueous solutions with varying pH, initial oil on shale/sandstone, surfactant concentrations, surfactant type, solid/liquid ratio, with and without sonication and at different contact time could enhance the desorption of spiked oil (Sarapar147) from pre-spiked shale and sandstone. The experiments tested the influence of the selected variables in batch experiments. The early screening results obtained for sandstone and shale show that sandstone are very much easier to clean than shales. Furthermore, the desorption efficiencies was lower for water compared to surfactant solutions particularly for sandstones. Nevertheless, ultrasound was able to improve the desorption efficiencies for sandstone washings but not for shale washings. In the other hand, the results of the full factorial experiments showed that the variations of solution pH, mechanical interruption by ultrasound, and prolonged desorption times did not significantly improve the desorption process. These results give strong evidence to the existence of a considerable and irreversibly bound fraction of oil to shale.
Effective Water Management Framework Based on Internet of Things (IOT) Technology
Authors: Odiagbe Moses , Eronu Emmanuel Majeyibo , Shaibu Farouq E. 
Published: February 2022

The low cost effective wireless sensor network that The low cost effective wireless sensor network that allows for embedded system to monitor and control virtually any space and environment and to form the so called Internet of Things or Internet of Everything. The research work is intended to address a general problem associated with effective water utilization management, among others is the issue of water leakages, there is the need to effectively detect cases of leakages and address them appropriately. However, the sensitivity of the flow rate sensors used poses a number of challenges, hence the need to setup an appropriate calibration scheme that will allows for the flow rate sensor, effective adoption and usage ,isolating false alarm due to deficiencies associated with operation of the flow rate sensor as well as detecting leakages . A frame work build around a flow rate sensor, solenoid valve, a microcontroller equipped with internet connectivity and a log in service monitoring and control platform on the cloud is used. Several simulated tests were carried out to explore a number of leakage scenarios. Based on the analysed data obtained overtime, appropriate algorithms were developed to allow for quick detection, remote monitoring and control of deduced cases of leakages. The work has significantly addressed the challenges poses to the effect leakages with the adopted framework.
Appraisal Mechanism for Improving Teaching Service Delivery in Universities
Authors: Stephen Bliss U. , Chukwudebe Gloria , Dike Damian O. , Chukwuchekwa Nkwachukwu 
Published: February 2022

Most universities have set up appraisal of lecturers’ class competencies to be done by students. The setbacks have been that students don’t feel free to give honest assessment, difficulty in collating the appraisal results, lecturers not trusting an appraisal system done solely by only students, and the assessment not considering positive or negative factors affecting teaching delivery. These taken together, have led to de-emphasis on teaching delivery appraisal. To solve this, questions that better reflect what defines of a good lecturer were modeled to achieve validity. The system was set up to protect anonymity of the students appraising staff. The work also presents a mathematical model that factors in the complexity of teaching to achieve fairness. An interaction of three weights (class size, credit unit and number of lecturers taking the course) was used to attain fairness and foster lecturers’ trust in this single-source appraisal. The grand or final teaching delivery score is a weighted average of the assessment scores computed from each of the courses taken by the appraised lecturer in the year under consideration. A web-based application was developed to deploy the appraisal mechanism advanced in this work. The application proved an effective platform for easy collation of appraisal outcome, roll out of questions covering multiple aspects of teaching delivery that improve learning and assessable by students. The interaction of three weights ensured that this single-source appraisal is not tilted unduly against the appraised staff while not unmasking the evaluators.
Wind Data Analysis, Annual Resource Estimation And Comparison With Measured Annual Energy Yield at the University Wind Turbine
Authors: Muriithi James Maina , Ngetha Harrison , Byiringiro Jean , Volkmer Kevin , Carolus Thomas 
Published: February 2022

Evaluation of the power potential of a particular type of wind turbine at a specific site is necessary for economic decisions. Therefore, the information of a wind turbine and that of a site have to be measured or predicted and then combined with the power curve of a wind turbine. The main objective of this research was to predict the power potential of the existing small wind turbine with a diameter of 3m and the wind turbine site at the University of Siegen and compare with the annual energy calculated from the measured one year of wind and turbine data. Techniques for prediction of the wind speed distribution of a site were determined and modeled. The power curve of the wind turbine was modeled from data recorded by applying a technique from the novel methods for modelling the power curve. In this research, artificial neural network, Weibull and Rayleigh are the techniques modeled to predict wind speed distribution at the wind turbine site. Rayleigh and Weibull were chosen since the two models depict a better wind speed distribution and require the mean and the standard deviation of the wind speed at the wind turbine site. A neural network trained with the backward propagation levernberg-Marquardt algorithm was applied to predict the wind speed and power potential of the wind turbine site. A comparison between Weibull, Rayleigh and the Levernberg-Marquardt trained neural network wind speed was made. The power curve of the wind turbine was successfully evaluated from wind data and wind turbine data recorded. The results indicate that the annual mean wind speed of the region is 2.54 (m/s) and about 20% of the wind availability was blowing from the west. The annual energy yield predicted from the trained neural network was 372 (kWh) closer to that determined from measured wind speed 360 (kWh) than that determined from Weibull and Rayleigh 337 and 233 (kWh) respectively. The three prediction models are applicable in any region to predict the annual energy of a particular wind turbine site with minimal data available.
Properties of Reactive Powder Concrete Using Local Materials and Various Curing Conditions
Authors: K. Gamal I. , Elsayed K. M. , Makhlouf Mohamed Hussein , Alaa M. 
Published: February 2022

Reactive Powder Concrete RPC is comprise of (cement, quartz powder, sand, and superplasticizer) mixture with low water/cement ratio. It has not coarse aggregates and characterized by highly dense matrix, high strength concrete, excellent durability, and economic. This study aims to investigate fresh and hardened properties of locally cast RPC with several available economical materials such as silica fume (SF), fly ash (FA), steel fiber (STF), and glass fiber (GF). Experimental investigation were performed to study the effectiveness of partial replacement of cement by SF or FA to reach ultra-high strength concrete, effect of additional materials STF or GF in order to improve the fracture properties of the RPC mixes, and influence of the treated with normal water as well as with hot water. Fifteen different RPC mixes were cast with 20, 25, 30, and 35% cement replacement by SF, 25% cement replacement by FA, and another proportions taken combination between SF and FA with percentages 15, 20, 25% FA and constant 10% SF. Varying fiber types (steel fiber or glass fiber) added to concrete by different percentages 1, 2, and 3%. Specimens were treated with normal water 25?C and hot water at 60?C and 90?C by 2 mixes with silica fume content 25% of binder and steel fiber content 2% by total volume. Performance of the various mixes is tested by the slump flow, compressive strength, flexure strength, splitting tensile strength, and density. The production of RPC using local materials is successfully get compressive strength of 121 MPa at the age of 28 days at standard conditions and normal water curing 25°C with Silica fume content 25% of binder and steel fiber content 2% by total volume of RPC and water/binder ratio of 0.25. The results also showed the effect of curing by hot water 60 and 90°C, it is observed that compressive strength increases proportionally with curing temperatures and a compressive strength of 149.1 MPa at 90°C for 1days was obtained.