bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance Analysis of Particle Swarm Optimization for Feature Selection
Authors: Bajeh Amos O , Funso Bukola O , Usman-Hamza Fatima E 
Published: June 2020

One of the key task in data mining is the selection of relevant features from datasets with high dimensionality. This is expected to reduce the time and space complexity, and consequently improve the performance of data mining algorithms for tasks such as classification. This study presents an empirical study of the effect of particle swarm optimization as a feature selection technique on the performance of classification algorithms. Two dataset from different domains were used: SMS spam detection and sentiment analysis datasets. Particle swarm optimization is applied on the datasets for feature selection. Both the reduced and raw dataset are separately classified using C4.5 decision tree, k-nearest neighbour and support vector machine. The result of the analysis showed that the improvement of classifier performance is case-dependent; some significant improvements are noticed in the sentiment analysis datasets and not in the SMS spam dataset. Although some marginal effect are observed on performance, it implies that with particle swarm optimization features selection the space complexity is reduced while maintaining the accuracy of the classifiers. Keywords—classification, feature selection, machine learning, particle swarm optimization, text mining
Feasibility of Using Bitterness and Foaming Properties as Surrogate Instrument in Assessing Antioxidant Potentials of Selected Eggplant Cultivars
Authors: Ogunbusola Eunice M , Daramola Bode 
Published: June 2020

This study attempt to circumvent the hurdle associated with the utilization of laborious and expensive procedure to assess some health promoting properties of eggplant fruits. The feasibility of using simple and cheap procedure as a surrogate tool to gain insight into the antioxidant potentials of eggplant cultivars was evaluated. Some eggplants cultivars obtained fresh were used for the work. Extracts from the garden eggs were analysed for relative reducing power, total phenolic content and radical scavenging activity using DPPH. Physical and Sensory attributes such as foaming ability and stability, and level of bitterness were also carried out. Results showed that assessment of some antioxidant markers notably total phenolic content (2.266 – 6.406), radical scavenging activity (35.00 – 82.50) and relative reducing power (0.139 – 1.145), showed positive correlation (r = 0.60281 - 0.803348; r = 0.861877 -0.905333; and r = 0.851459 - 0.958941) with bitterness, foaming capacity and foaming stability respectively. Simple and cheap quality control protocol could be used as surrogate tool to gain insight into the antioxidant markers, a health promoting endowment of some eggplants. Keywords - Eggplants, bitterness, foaming capacity, surrogate tool, antioxidant potentials.
Numerical Simulation of Conjugate Heat Transfer in Forced Convective Boundary Bilayered Cylindrical Pipe with Different Peclet Numbers
Authors: Omosehin Oluwasegun S , Adelaja Adekunle O 
Published: June 2020

The heat transfer performance of bilayered composite systems through which thermally developing laminar fluids flow for cases in which axial conduction is either significant or negligible has been investigated. The heat transfer problems considered as two dimensional conjugate problems with appropriate boundary conditions were solved via computational fluid dynamics (CFD) approach in ANSYS 16.0. A parametric study was conducted to investigate the effects of Péclet number (Pe), ratio of the thermal conductivity of the laminate composite (k21) and the laminate composite dimensionless-thickness ratio on the wall-fluid interfacial temperature and interfacial heat flux for Pe of 5, 100 and 1000, varying between 0.4 and 1.6, Bi of 5, kwf of 20, k21 between 0.025 and 1, and of 0.71. The effect of Pe was found to be more pronounced on the interfacial heat flux. Also, the changes in k21 and were shown to reduce with reduction in Pe. Keywords— Composite cylinder, convective heat transfer, Numerical simulation; thick-walled pipes.
Characterization of Recycled Polyethylene Terephthalate Powder for 3D Printing Feedstock
Authors: Nwogu Chukwunonso N , Uche Remy , Igbokwe John O , Okoronkwo Chukwunenye A 
Published: June 2020

This paper assessed the suitability of PET powder produced by crushing used plastic bottles as 3D printing feedstock. Characterization of the powder was done through determining its flow property, coefficient of friction, bulk density, flexural and tensile strengths and compared with those of ABS, PLA, PVA, Nylon and HDPE which are used conventionally 3D printing of plastic parts. Two grades of PET bottles were used in this study: grade one which is designated PET1 with intrinsic viscosity values ranging from 0.78-0.80 (used for water bottles) and grade two which is designated PET2 with intrinsic viscosity values ranging from 0.80-0.85 (used for carbonated drinks bottles). The results of the tests performed showed that PET1 has bulk density, coefficient of friction, flexural strength and tensile strength values of 0.16 g/m3, 0.43, 82.1 MPa and 63.4 MPa respectively while PET2 has bulk density, coefficient of friction, flexural strength and tensile strength values of 0.15 g/m3, 0.22, 82.7 MPa and 57.8 MPa respectively. The Experimental results show that both PET1 and PET2 have very good flow property, and are suitable for 3D printing. This study solves two major problems: plastic waste management and availability of locally produced 3D printing feedstock, which is currently the greatest challenge of 3D printing in Nigeria. Keywords— 3D printing feedstock, Characterization, Intrinsic viscosity, PET powder.
Comparison of Nigerian Barite Production with some Top Barite Producing Countries
Authors: Kolawole Funsho O , Olugbemi Oluwamayowa M , Madueke Chioma I , Kolawole Shola K 
Published: June 2020

Barite is a very important industrial minerals used as weighting material in the petroleum industry. The nature of barite ores, geology of barite ores based on location were discussed. This paper presents top barite producing countries in the world, their production and consumption of barite, as well as their reserve. Despite all the barite deposits in Nigeria, which is approximately 15 million tonnes, it still imports barite from other countries for use in the drilling of oil and gas in Nigeria. This of course brings about unnecessary expenses been incurred by the government of Nigeria. Some of the challenges faced with the mining and processing of the Nigerian Barite were discussed. Proposed solutions to the mentioned challenges were also stated. The main challenge of the Nigerian barite is not with the American Petroleum Institute (API) standard, but the policies which do not favour investors. Investment by private companies into the mineral sector of Nigeria will bring about a lot of revenue to the government, if the right things are set in place. Keywords— Barite, producing countries, low-grade
Some Thermodynamic Properties of White Yam (Dioscorea rotundata) Slices Dehydrated in a Refractance WindowTM Dryer
Authors: Akinola Akinjide A , Ezeorah Stanley N 
Published: June 2020

The objective of this study is to estimate the changes in Enthalpy, Entropy and Gibbs Free Energy of yam slices dehydrated at different temperatures using a Refractance WindowTM dryer. Dehydration of 1.5, 3.0 and 4.5 mm thick yam slices, was performed with water temperatures of 65, 75, 85 and 95oC in the flume of a Refractance WindowTM dryer. During the dehydration operations, the moisture-content history data were recorded. For the process conditions considered, the moisture content history data was used to calculate the moisture diffusivity and the activation energy of dehydration of the samples. Subsequently, changes in Enthalpy, , Entropy, , and Gibbs Free Energy, ), were calculated. For the process conditions studied, the changes in, , , and, varied from 20,381.33 to 25,217.05 J.mol-1., -140.69 to -122.29 J.mol-1.K-1.and 67,934.80 to 70,220.15 J.mol-1, respectively. This study is essential as knowledge of these thermodynamic parameters are useful for the optimal design and sizing of preservation dryers for argo-products. Keywords— Enthalpy; Entropy; Gibbs Free Energy; Refractance WindowTM Dryer; Yam
Development of Improved Drainage System for Storm Water flow at Isale koko Ilorin, Kwara State, Nigeria
Authors: Mokuolu Olubunmi A , Evans Victory E , Salami Wahab A 
Published: June 2020

Among areas prone to flood disaster yearly in Ilorin is Isale koko. The study involved the reconnaissance survey to ascertain the current capacity of the existing drainage in the flood disaster prone area of Isale Koko, Ilorin, Kwara State, Nigeria. The dimension of the drainage network of the area was taken at eight (8) various points and the average area of the drainage was obtained to be 0.44m². The already existing drainage in the area was divided into 3 sections for easy computations of flow value, length, depth and width. The rainfall intensity for the study area was found to be 98.49mm/hr. The rational method and Manning’s equation were used for the surface runoff and the proposed drainage respectively. The peak flow of the area and maximum flow velocity in the drains were determined to be 48.46mᶟ/s and 2.21mᶟ/s respectively. The best hydraulic section method was employed to obtain new drainage dimensions for both rectangular and trapezoidal channels. The new designed rectangular channel had dimensions of 1.16m × 0.812m while the trapezoidal channel had dimensions of 1.43m×0.72m×0.87m. The area of both channels was obtained to be 0.67m². A comparative analysis was carried against the average area of the pre-existing drainage that showed a 53.3% increase in drainage area; proving that the current drainage infrastructure of the area is grossly inadequate. Sequel to the analysis, the trapezoidal shaped drainage was recommended for the study area. Keywords—Drainage, Flood, Infrastructure, Runoff, Storm water
Effect of Process Parameters on the Surface Roughness and Kerf Width of Mild Steel during Plasma Arc Cutting Using Response Surface Methodology
Authors: Agbonoga Ekhaesomi A , Adedipe Oyewole , Okoro Uzoma G , Usman Fidelis J , Obanimomo Kafayat T , Lawal Sunday A 
Published: June 2020

This study investigated the effects of process parameters of plasma arc cutting (PAC) of low carbon steel material using analysis of variance. Three process parameters, cutting speed, cutting current and gas pressure were considered and experiments were conducted based on response surface methodology (RSM) via the box-Behnken approach. Process responses viz. surface roughness (Ra) and kerf width of cut surface were measured for each experimental run. Analysis of Variance (ANOVA) was performed to get the contribution of process parameters on responses. Cutting current has the most significant effect of 33.43% on the surface roughness and gas pressure has the most significant effect on kerf width of 41.99% . For minimum surface roughness and minimum kerf width, process parameters were optimized using the RSM. Keywords: Cutting speed, cutting current, gas pressure, surface roughness, kerf width
Template Matching Based Sign Language Recognition System for Android Devices
Authors: Jimoh Kudirat O , Ajayi Anuoluwapo O , Ogundoyin Ibrahim K 
Published: June 2020

An android based sign language recognition system for selected English vocabularies was developed with the explicit objective to examine the specific characteristics that are responsible for gestures recognition. Also, a recognition model for the process was designed, implemented, and evaluated on 230 samples of hand gestures. The collected samples were pre-processed and rescaled from 3024 ×4032 pixels to 245 ×350 pixels. The samples were examined for the specific characteristics using Oriented FAST and Rotated BRIEF, and the Principal Component Analysis used for feature extraction. The model was implemented in Android Studio using the template matching algorithm as its classifier. The performance of the system was evaluated using precision, recall, and accuracy as metrics. It was observed that the system obtained an average classification rate of 87%, an average precision value of 88% and 91% for the average recall rate on the test data of hand gestures. The study, therefore, has successfully classified hand gestures for selected English vocabularies. The developed system will enhance the communication skills between hearing and hearing-impaired people, and also aid their teaching and learning processes. Future work include exploring state-of-the-art machining learning techniques such Generative Adversarial Networks (GANs) for large dataset to improve the accuracy of results. Keywords— Feature extraction; Gestures Recognition; Sign Language; Vocabulary, Android device.
Development of Electromagnet for Laboratory Water Treatment Experiments
Authors: Ajiboye Aye T , Yusuf Abdulrahman O , Yusuf Kamorudeen O , Ogunlela Ayodele O 
Published: June 2020

Water is said to be magnetized when it flows across the magnetic field and magnetized water finds its application in many areas of life. Despite the numerous benefits of magnetized water, very little works have been reported on the development of magnet for water magnetizer application. In most of the reported works, the detailed theoretical analysis and design procedure required for the development of the magnet was not accounted for; hence the need for the present study. Electromagnetic means of producing flux density is considered in this study due to its advantage of flux density variation, which is not achievable with the use of its permanent magnet counterparts. The design equation of short electromagnet was derived from the existing equations of coil magnetic flux density and then used for the air core electromagnet design. The variation of the magnetic flux density with the distance between two electromagnets was empirically investigated. The performance of the developed electromagnet is satisfactory, as the flux density varies between 814.6 and 510G corresponding to the gap (0 - 4cm) between the coils (i.e., water pipe diameter). Keywords— Air core, Coils, Iron core, Magnetic flux density, Magnetized water
Development of an Instrumentation System for a Laboratory Model Food Product Dryer
Authors: Ajiboye Aye T , Yusuf Abdulrahman O , Odewole Michael M 
Published: June 2020

To achieve optimal dryer performance, the process parameters required for both the optimization and control of the drying process must be made available via the instrumentation system. A few works have been reported on the development of instrumentation systems for handling drying system parameters. Out of which, some are deficient in the number of drying process parameters that can be handled, while others are unreliable and inaccurate. Therefore, there is the need to develop a microcontroller-based instrumentation system that can monitor, measure, control, display and store the main drying process parameters and sample weight with a high degree of reliability and accuracy. In this study, the sensors were selected based on system specifications and interfaced with the microcontroller. The codes for controlling, logging and displaying of drying parameters were developed and installed on the microcontroller. When tested at steady-state conditions, the system yielded satisfactory results with maximum control and detection errors being 2.0% and 1.8% for the temperature and sample weight, respectively. The developed system can be used for efficient computation of both the dry and wet basis sample moisture content values and also detect the set sample weight. Keywords— Dryer, Drying parameters, Instrumentation system, Moisture content, Sensor.
Evaluation of the Hydraulic Conductivity of Compacted Laterite-Metakaolin Mixtures for Solid Waste Leachate Containment
Authors: Umar Sa’eed Y , Elinwa Augustine U 
Published: June 2020

This paper presents the results of a study conducted to investigate the benefits of using metakaolin (MK) with laterite as liner material for containment of municipal solid waste (MSW). Laboratory tests were conducted on laterite specimens treated with MK at concentrations of 0 - 20 % by weight of the soil and compacted using four types of compaction energies. Hydraulic conductivity was determined based on permeation of the compacted laterite - MK mixtures with deionized water (DW) and municipal solid waste leachate (MSWL), respectively. Deionized water was the reference permeant fluid. The results showed that hydraulic conductivity generally decreased with increase in the percentage addition of MK to the soil. From an economic and sustainability point of view, it has been found from the results that 5 % MK can be added to soil and compacted at moulding water content of 14.1 % using the West African Standard (WAS) compaction energy to achieve the regulatory hydraulic conductivity of less than or equal to 1 x 10-9 m/s for compacted soil liner. The natural logarithm of the hydraulic conductivity experimental results were computed and used to develop regression equations for estimating hydraulic conductivity given MK contents and compaction energies. The results of the two-way analysis of variance (ANOVA) test carried out at 5 % level of significance showed that calculated F-statistics are statistically significant and the measured values of hydraulic conductivity compare well with the predicted values. The developed models can therefore be used to give good estimates of hydraulic conductivity of soils having similar properties with the laterite investigated in this study. Therefore, the developed models can be used to give good estimates of hydraulic conductivity of soils having similar properties with the laterite investigated in this study. Keywords ­_ Deionized water, Hydraulic conductivity, Leachate, Metakaolin, Municipal solid waste.
Educação profissional e tecnológica no Rio Grande do Sul com base em leitura das pesquisas na pós-graduação no estado
Authors: Ferreira Liliana Soares , Calheiros Vicente Cabrera , Siqueira Silvia de 
Published: June 2020

O artigo sistematiza o estudo de duzentas e onze teses e dissertações sobre Educação Profissional e Tecnológica em dezoito programas de pós-graduação do Estado do Rio Grande do Sul, através da Análise dos Movimentos de Sentidos. Não somente inventaria, conhece e arrola os trabalhos produzidos, mas compara a abordagem temática em relação à EPT e à pesquisa na pós-graduação, em uma perspectiva de “metaconhecimento”, aprender a conhecer enquanto se conhece. São descritos os aspectos teóricos e metodológicos da pesquisa realizada, as análises e considerações finais, à guisa de uma indagação sobre o sentido de estudar-se o que já foi produzido. Constatou-se que a pesquisa sobre EPT é recente, ainda busca sua estabilidade. Do mesmo modo, a abordagem da modalidade é tangenciada, pois os trabalhos, de maneira geral, referem-se a aspectos que têm a EPT como localização espaço-temporal, mas não abordam a modalidade em si, contribuindo para que solidifique uma produção teórica que a dimensione e fortaleça. Em decorrência, não há uma abordagem teórica própria e elaborada a partir dessa modalidade.
Decolonizing Indigenous Education: Beyond Culturalism: Toward Post-cultural Strategies
Authors: Kanu Yatta 
Published: June 2020

As a response to the recent international calls to decolonize the education of Indigenous students and increase school success among them by including indigenous knowledge into school curricula, aspects of Aboriginall cultural knowledge/perspectives were integrated into the Social Studies curriculum in a Canadian inner city school in order to appraise the effect on academic achievement, class attendance and school retention among some Canadian Aboriginal students. Results suggest some optimism about increasing school success among these students by integrating Aboriginal perspectives. Five effective approaches to the integration of Indigenous perspectives into the school curriculum and some critical elements of instruction that appear to affect academic achievement, class attendance and school retention among some Canadian Aboriginal students are discussed.
Les recents appels internationaux exigent la decolonisation de l'enseignement des eleves indigenes pour augmenter leur succes scolaire en incluant les connaissances indigenes dans les curricula des ecoles. Pour repondre aces appels, des aspects de la connaissance et des perspectives de la culture autochtone ont eM integres dans le curriculum des sciences humaines d'une ecole dans un vieux quartier pauvre du Canada afin d'evaluer les effets sur l'accomplissement academique, l'assiduite et le redoublement scolaires chez quelques eleves autochtones canadiens. Le resultat suggere un certain optimisme dans l'augmentation du succes scolaire chez ces eleves avec l'integration des perspectives autochtones. Cinq fac;ons efficaces pour integrer les perspectives indigenes au curriculum de l'ecale et quelques elements critiques de l'instruction qui semblent avoir affecte le succes academique, l'assiduite et le redaublement scolaires chez quelques eleves autochtanes canadiens sont examines ici.
One Solution of Extension of Mel-Frequency Cepstral Coefficients Feature Vector for Automatic Speaker Recognition
Authors: Jokić Ivan , Jokić Stevan , Delić Vlado , Perić Zoran 
Published: June 2020

One extension of feature vector for automatic speaker recognition is considered in this paper. The starting feature vector consisted of 18 mel-frequency cepstral coefficients (MFCCs). Extension was done with two additional features derived from the spectrum of the speech signal. The main idea that generated this research is that it is possible to increase the efficiency of automatic speaker recognition by constructing a feature vector which tracks a real perceived spectrum in the observed speech. Additional features are based on the energy maximums in the appropriate frequency ranges of observed speech frames. In experiments, accuracy and equal error rate (EER) are compared in the case when feature vectors contain only 18 MFCCs and in cases when additional features are used. Recognition accuracy increased by around 3%. Values of EER show smaller differentiation but the results show that adding proposed additional features produced a lower decision threshold. These results indicate that tracking of real occurrences in the spectrum of the speech signal leads to more efficient automatic speaker recognizer. Determining features which track real occurrences in the speech spectrum will improve the procedure of automatic speaker recognition and enable avoiding complex models.