bluuebunny/crossref_metadata_2025_split huggingface dataset:
Face-based Gender recognition Analysis for Nigerians Using CNN
Authors: Lawal C.O. , Akinrinmade A. A. , Badejo J. A. 
Published: December 2019

Abstract
Estimating human gender from faces in images is an important area of research as many applications rely on it. Facial recognition is a branch of biometrics that uses the face which is a physical trait to uniquely identify individuals. Gender recognition using face analysis is also an important task in computer vision as it helps in visual surveillance, intelligent user interfaces, demographic studies etc. The fundamental of gender recognition and other similar classification problem is broken into four stages i.e. the image to be examined to the pre – processing of the image, feature extraction and lastly classification. Several approaches including the deep learning approach which is a representation of the learning procedure that discover multiple levels of representations using neural network has been explored for gender recognition. This work is essential in creating a face-based recognition for gender analysis for Nigerians. The face database consists of over 6000 images of Nigerians with different variations. The created database was used to analyze gender by pre-processing the images, extracting necessary features and classification using the Convolutional Neural Network (CNN). An overall recognition accuracy of 98.72% was achieved demonstrating the feasibility and research potential in such direction.
Big Data And Real Estate: A Review Of Literature
Authors: Oluwunmi A. O. , Role B. A. , Akinwale O. M. , Oladayo O. P. , Afolabi T. O. 
Published: December 2019

Abstract
The concept of big data though relatively new has brought a lot of solutions to modern day challenges. Many authors, particularly in developed countries, have adopted the concept in tackling the numerous challenges unfolding in the real estate profession. However, most of the findings from these authors are on individual bases and as such, there is a need to reach a general consensus on the relevance of big data to the real estate profession. The review shows the impact of big data to include digitization of records, information on user preferences, sensor information on the urban environment and sensor information on movement. The paper concludes that the relevance of big data to the real estate profession cannot be over-emphasised.
Development and Characterization of Zeolite-A from Elefun Kaolin
Authors: Yusuf E.O. , Efeovbokhan V. E. , Babalola R. 
Published: December 2019

Abstract
Zeolites are important industrial materials of unique chemical structure that are utilized in various industrial plants as adsorbent for gases, liquid, solids or even as catalysts. The use of synthetic chemicals as starting materials for commercial production of Zeolite-A is cost intensive. However, low-cost raw materials such as clay minerals, coal ashes, natural zeolites, municipal solid wastes and industrial sludge have been widely used. In this study, the synthesis and characterization of Zeolite-A from natural raw Kaolin (Elefun) clay using hydrothermal treatment technique was investigated. The raw and beneficiated kaolin were experimentally studied and comparison was made based on material characterization and application. Metakaolinization was achieved by thermal activation of the beneficiated kaolin at 850 oC for 2 hours. Thereafter, Sodium Aluminosilicate gel was prepared with the molar ratio SiO2/Al2O3
= 2.6, Na2O/SiO2 = 3.0, and H2O/Na2O = 40 by mixing calculated amounts of metakaolin with sodium hydroxide solution of analytical grade. The gelled samples were aged for 24 hours at ambient temperature and subsequently crystallized for 24 hours at 100 °C. The starting kaolin, beneficiated kaolin, calcined kaolin and final product were characterized using X- Ray Fluorescence (XRF) and results were corroborated by X-Ray Diffractometer (XRD) and Scanning Electronic Microscope (SEM). The results showed that Zeolite-A can be synthesized from Elefun kaolin by ageing at room temperature for 24 hours and crystallization at 100 ° C for 24 hours.
Interference Mitigation Among Indoor Phone Subscribers In Lte Based Heterogeneous Networks Using Fast Response Frequency Reuse Technique
Authors: Ibhadode Osagie , Adekunle A. , Nwafor C. O. , Umanah I. I. 
Published: December 2019

Abstract
Mobile phone users both for voice and data have increased tremendously in the last decade thereby making it necessary for service providers in the telecommunication industry maintain quality of service as much as possible. The huge complaint from indoor mobile users concerning signal coverage and capacity has made it a necessity to conduct this research. The aim of this research is to minimize interference among indoor phone subscribers in long term evolution (LTE) based heterogeneous networks using fast frequency reuse technique. Femtocells are deployed in varying number within the macrocell coverage area. For communication between femto and macro users within the network, a fast frequency response technique was proposed and parameters such as path loss, SINR and channel capacities were determined to ascertain the level of performance of the system when compared with a situation with random and unplanned deployment. Results show that a high SINR results when the bit error rate is low, this consequently improves communication and throughput in the network. The high values of throughputs for edge macro-femto users compared to inner edge-macro users are due to distance of macro and femto users from the macrocell. As femtocells increase for edge macro-femto users within the coverage area, throughputs reduced gradually
An Investigation Of The Influence Of Femtocells Network On A Small Size Indoor Environment Using Itu-R And Winner Ii Path Loss Models
Authors: Ibhadode Osagie , Adekunle A. , Azeta Joseph , Abimiku Y. K. 
Published: December 2019

Abstract
The rapid integrations of wireless controls in mechatronics, the broadening applications of wireless radio communications in aviation, and the exponential increase in the growth of mobile phone users in the last decade have made it necessary to expand the capacity of GSM users and ultimately increase the system performance. It has also become imperative for service providers to ensure adequate coverage is provided for all mobile users in areas with poor or no service. Even though many solutions such as distributed antenna system, relays, macrocells, and picocells were developed but they could not proffer the needed solution to indoor users. In this perspective, researchers were of the opinion that femtocells have a gifted technology to enhance indoor coverage because of properties such as short power, short coverage area, reduced distance between device and user and being a plug and play device. It was however discovered that research findings on large deployment of femtocells does not corroborate when a handful is deployed. This study therefore examines the influence of femtocells network on a small size indoor environment using ITU-R and WINNER II path loss models. To accomplish this, femtocells were modeled in six apartments of a building and parameters such as path loss, received power and signal to interference plus noise ratio were determined to ascertain the performance of a particular femtocell under the influence of co-tier interference. Results show that the ITU-R model was found to experience lower path losses which produced higher received powers than WINNER II (-57.0445dBm on the average).
Effect of Welding Current on Mechanical Properties and Microstructure of TIG Welding of Type-304 Austenite Stainless Steel
Authors: Ogundimu E. O. , Akinlabi E. T. , Erinosho M. F. 
Published: December 2019

Abstract
The aim of this paper is to study the effect of welding current on the microstructure and the mechanical properties. Material characterizations were conducted on a 6 mm thick plates of type-304 austenite stainless steel, welded by TIG welding process at two different welding currents of 150 A (Sample F3) and 170 A (Sample F4). The tensile strength and the elongation obtained from sample F4 weld were approximately 584 MPa and 19.3 %; which were higher than sample F3 weld. The average micro hardness value of sample F4 weld was found to be 235.7 HV, while that of sample F3 weld was 233.4 HV respectively. Homogenous distribution of iron (Fe), chromium (Cr) and nickel (Ni) were observed at the welded joint of the two samples. The EDS analysis revealed that Fe, Cr, and Ni made up the composition formed at the weld zone. The optimum welding current of 170 A for TIG welding of type-304 austenite stainless steel can be recommended for high-tech industrial applications.
Optimization And Performance Evaluation Of Blender-Hammer Mill
Authors: Ajayi C.O , Oyawale F.A , Afolalu S. A. 
Published: December 2019

Abstract
The principle of design by analysis was adopted for the design of this project. The methodology used was to scrutinize the common critical defects of conventional hammer mills and proffer possible solutions. The foremost components of the new blender-hammer mill were enumerated. The initial tests carried out on the new blender- hammer mill revealed that the mill is capable of performing same function that industrial huge hammer mills and the conventional hammer mills can perform in production of course, medium and fine particles.The results obtained after testing, showed that the crushing efficiency was between 83% to 96%, for dry maize and wheat respectively, which is quite satisfactory. Production of fine grains was achieved but coarse, medium and fine particles were still produced for further re-run for finer particle.
Advancing PoC Devices for Early Disease Detection using Graphene-based Sensors
Authors: Oshin Oluwadamilola , Kireev Dmitry , Akinwande Deji , Adetiba Emmanuel , Idachaba Francis , Atayero Aderemi 
Published: December 2019

AbstractEarly detection of diseases is key to better disease management and higher survival rates. It aims at discovering conditions that have already produced biochemical changes in body fluids, but have not yet reached a stage of apparent physical symptoms or medical emergency. Therefore, early disease detection relies majorly on biochemical testing of biological fluids such as serum, in the body. The laboratories for these tests require biochemical-based instrumentations that are bulky and not commonly available especially in developing countries. Moreover, the tests are expensive and require trained personnel to conduct and interpret results. On the other hand, Lab-on-a-Chip (LOC) biosensors have a potential to miniaturize the entire biochemical/laboratory methods of diagnostics into versatile, inexpensive and portable devices with great potential for low-cost Point-of-Care (POC) applications. They are capable of providing accurate and precise information on the measured health indices for sub-clinical level of diseases. Nanotechnology-inspired biosensors have further advantages of low limit of detection (required for early diagnosis), real-time analysis and lesser sample volume requirement. Of all other nanomaterials, graphene is said to be the most promising, suitable for biosensing due to its biocompatibility and consistent signal amplification even under the conditions of harsh ionic solutions found in the human body. This paper reviews the potentials, fundamental concepts and related works in using Graphene-based Field Effect Transistors (GFETs) as biosensors for early disease diagnosis. This paper also highlights a low-cost patterning mechanism for preparing SiO2/Si substrate for metal deposition (of the source and drain electrodes of FETs).
Overview Impact Of Application Of Queuing Theory Model On Productivity Performance In A Banking Sector
Authors: Afolalu Sunday A. , Babaremu Kunle O. , Ongbali Samson O. , Abioye Abiodun A. , Abdulkareem Ademola , Adejuyigbe Samuel B. 
Published: December 2019

Abstract
Banking sectors have perpetual queues owing to the significance of the services they render to humanity and this poses a merging challenge of queue management in the execution their jobs and in the effective delivery of services to their customers. The study focuses on the role of queuing theory in the banking sectors thus far from pedigree of queuing theory till date. This study used the historical approach to juxtapose the likelihood of the impact of queuing in the various activities in the banking as seen in the regular applications to established areas of telecommunications systems and engineering. The outcome of this review espouses that a few approaches have been applied to sort the problems encountered in the banking sectors for needful improvement. Some of these approaches are ANN (Artificial Neural Network), BPR (Business Process Reengineering) M/M/1, M/G/1 and the Erlang B&C formulas for the management of excessive bank reserves and customer queues in terms of waiting times and economic cost. These approaches have been able to improve the performance of the banking sector to an extent, however there is still a couple of limitation regarded as external factors that varies from one banking system to another and lots of works are needed to further combat the problems faced by the banking sectors.
Oxidation of Glycerol with Oxygen Molecules as the Oxidant over Activated Clay Material Catalysts
Authors: Ochonogor L. S. , Efeovbokhan V. E. , Sankar J. , Kalu E. E. 
Published: December 2019

AbstractInterest in glycerol oxidation to more useful products has risen significantly over the years. This has led to the development of several catalysts some of which are scarce, uneconomical and environmentally unfriendly. In this research, two catalysts prepared from red earth - ‘A1’ (calcined at 500°c) and ‘A2’ (calcined at 500°c and dealuminated) were characterized using x-ray fluorescence (XRF) and used to oxidize glycerol with O2 molecules for 240 mins. The XRF results showed that Al2O3(31.3%), SiO2(47.9%) and Fe2O3(16.05%) were the predominant components in ‘A1’ while ‘A2’ showed a marked significant difference in Al2O3(19.4%), SiO2(72.1 %) and Fe2O3(0 %). The selectivities of the oxidation products with A1 were 18.8 % glyceric acid (GLA), 13.1 % lactic acid (LCA), 1.66 % oxalic acid (OXA) and 1.24 % formic acid (FMA), while for A2 they were (20.4%) GLA and (17%) LCA. 88.1% glycerol was converted but selectivity towards any of the products was low.
Study of Energy Efficient Building Design Techniques: Covenant University Health Centre
Authors: Nkem Ede Anthony , Kesi-Ayeba Kendyson Douglas , Olakunle Oyebisi Solomon , Oluwafemi John 
Published: December 2019

Abstract
Energy efficiency, which is a key factor of sustainable building design is very beneficial to building occupants. This has made the focus on sustainability in the design, to be highly desirable. Studies show that two third of the energy used in existing residential buildings in Nigeria is generated via electricity, however; due to epileptic power supply, high cost of energy and high carbon emission, there is a need to minimize energy demand in the facility. This research evaluated sustainable design strategies and their effects on energy efficiency in warm humid climate of Nigeria. The climate, building envelope, heating, ventilation and air conditioning and lighting systems constitute are the main factors responsible for energy intake of a building. The research was based on case study of Covenant University Health Centre and data was collected through visual survey. The case study revealed that the building, at the time of construction did not consider sustainable design strategies in terms of materials of the building envelope, wall and window shading as well as natural means of cooling. Only lighting was considered.
Benefits and Drivers of Implementing Green Building Projects in South Africa
Authors: Oguntona O A , Akinradewo O I , Ramorwalo D L , Aigbavboa C O , Thwala W D 
Published: December 2019

Abstract
Several negative environmental issues are attributed to the activities of the construction industry (CI) globally with South Africa as no exception. Hence, the introduction of sustainability concepts in other to address these challenges which continually threaten the health and existence of both the human and natural environment. Green building (GB) as a sustainable concept aims to address the social and economic concerns and not only the environmental issues in the built environment. The paper, therefore, evaluates the beneficial factors and ways of promoting the implementation of GB projects in South Africa. The study employs a structured questionnaire survey as an instrument for data collection. The study gathered data from construction professionals (architects, civil engineers, quantity surveyors, project managers, construction managers, and construction project managers) who are sustainability proponents. A quantitative approach to data analysis was utilised using percentage, standard deviation, and mean item score. From the data analysed, the results revealed improved indoor air quality, ecosystem protection, increased energy efficiency, enhanced health and well-being of occupants, and minimised CO2 emissions as the top five benefits of GB projects implementation. Availability of more financing options, improved market for green products/materials, education and training on GB technologies, provision of economic incentives, and affordability of GB materials are identified as the top drivers of GB projects implementation. The findings from this study will help create awareness and encourage the adoption and implementation of GB projects which in turn has the potential to combat the severe environmental challenges caused by the activities of the CI.
Gender and Academic Performance in Engineering: An Empirical Study in a Leading Nigerian University
Authors: Abioye A. A , Ishola F. A , Abioye O. P , Odunlami O. A , Alayande T. A , Bolu C. A 
Published: December 2019

Abstract
Engineering is increasingly becoming a more popular career for women globally. This study aims at examining the performances of female students in comparison to their male counterparts. This is then used to determine if there is any correlation in their performances. The sample population for this research is the engineering students in Covenant University, a leading University in Nigeria. The performance of the graduating students in this school over 11 years, from 2006 to 2017, was analysed and studied. The research suggests that more percentage of female students now graduate with first class and the percentage of female students graduating with third class between these periods has reduced to almost nothing over years. Thus, it is recommended that more women should be encouraged to enrol in engineering courses, as they tend to thrive in courses such as Electrical and Electronics Engineering and Mechanical Engineering.
Overview for Improving Steam Turbine Power Generation Efficiency
Authors: Joseph Omosanya Abolaji , Titilayo Akinlabi Esther , Olusegun Okeniyi Joshua 
Published: December 2019

Abstract
Electricity is an integral part of every society for which demand is growing continuously, whereas the production is still based on limited sources of energy derived mainly from steam and gas turbines, the turbomachinery. This paper presents an overview for preliminary study on the optimization of the design of the steam turbine. This was done with a special focus on the last stage low pressure turbine blades, for the reason that the design parameters of this component exhibit influence on the efficiency of power generation from the steam turbine electric power generating system. For supporting the study, a practical overview of the Egbin thermal power station, Nigeria, was included in the study with the parameters from the last stage low pressure turbine blade for this energy generation installation. By these, suggestions that could be undertaken for improving efficiency of the steam power plant for enhancing sustainability of electric power generation were also detailed in the paper.
Weight determination of glazing properties for Trombe wall application in Johannesburg: An entropy method implementation
Authors: Oluah C.K. , Akinlabi E. T. , Njoku H. O. 
Published: December 2019

Abstract
Glazing materials have been found to greatly influence the performance of trombe wall systems. this is due to its role in determining the quantity of thermal energy that reaches the massive wall. in this article, a multi-criteria decision-making analysis for proper glazing selection for trombe wall system was considered, the location of interest is johannesburg metropolis. four different glazing types and four criteria were considered using the entropy method for weight determination. the four criteria considered were the solar heat gain coefficient (shgc), the u-value, visible transmittance and cost respectively. the result showed that the u-value is of utmost importance vis-a-vis other performance criteria for the glazing material. decreasing order of weights assigned was as follows; 71.2% weight factor for the u-value, 16% weight factor to cost, 10.2% weight factor to shgc and 2.6% weight factor to the visible transmittance respectively.
Influence 0f Zirconium Diboride (ZrB2) on the Physio-Mechanical Behavior of AA8011 Alloy base.
Authors: Fayomi J. , Popoola A.P.I. , Popoola O.M. , Fayomi O.S.I. 
Published: December 2019

Abstract
The AA8011 reinforced with 5 to 20 weight percent of zirconium diboride (ZrB2) were developed via stir casting route. In this current research work, characterization evaluation was conducted on the AA8011 alloy and its composites with the varying composition to investigate the physical and mechanical properties. The results of the mechanical properties obtained revealed an enhanced hardness and strengthening mechanism propagation of the composite in comparison to the base alloy AA8011. The experimental studies show that the addition of ceramic particles into the molten metal alloy resulted in improved properties. Also, an increase in the percentage composition of the particles leads to an increase in the strength value of the composite. Generally, the improvement in the hardening mechanical behavior of the composites can be attributed to the intrinsic properties of the incorporated particulates.
Corrosion Inhibitors as Building Evidence for Mild Steel: A Review
Authors: Oyekunle D.T. , Agboola O. , Ayeni A.O. 
Published: December 2019

AbstractMild steel is the most common type of metal used in large industries due to its acceptable material properties and low cost. However, a growing concern of its use has been limited as a result of its low resistance to corrosion especially in acidic and alkaline environments. The use of corrosion inhibitors has been encouraged by various researchers as a means slow down the corrosion rate and thus reduce monetary losses to industrial vessels, surfaces and equipment. This paper presents the types of inhibitors employed by different researchers on various mediums. It also seek to consider the limitation processes caused by some factors such as temperature of the media and concentration of the inhibitors and the media. Although the use of green inhibitors has been greatly encouraged due to its low cost but the combination of it with other kinds of inhibitors can prove to boost its effectiveness in corrosion inhibition process. Other organic materials such as animal discharge, and biomaterial should also be considered in future research works. These will further provide more literature to corrosion inhibition of mild steel which in essence promotes the life span of the metal.