bluuebunny/crossref_metadata_2025 huggingface dataset:
Model for Estimating Travel Time on Dynamic Highway Networks in Akure, Ondo State Nigeria
Authors: Nnamani Onyemaechi John , Ijaware Victor Ayodele , Olusina Joseph Olalekan , Idowu Timothy Oluwadare
Published: February 2022

Travel time variability or distribution is very important to travel time reliability studies in transportation systems. This study aimed at developing a multivariate regression model for estimating travel times for dynamic highway networks in Akure Metropolis. The independent variables for the model are Traffic volume, density, speed of vehicles, and traffic flow while the dependent response variable is the Travel time. The estimated travel time was compared with the observed travel time from the real field data and the estimation using the regression model reveals a significant level of accuracy. Also, it was discovered that traffic volume, speed, density, and flow were highly correlated with travel time. The result analyzed using descriptive statistics in the SPSS software environment reveals an R2 value of 0.998, thereby indicating that the independent variables accounted for 99% of travel time in the study area. The Hypothesis tested at 95% confidence level using ANOVA unveils that there is no significant difference between the observed and estimated travel time model. The Mean Absolute Percentage Error (MAPE) of 0.049 shows that the model performed very well and was very efficient for analyzing the probabilistic relation between travel time and the independent variables. The study recommends the use of the developed travel time model for estimating travel time within the study area.
Biochar and Other Organic Amendments Improve the Physicochemical Properties of Soil in Highly Degraded Habitat
Authors: Getahun Alemayehu , Muleta Diriba , Assefa Fassil , Kiros Solomon , Hungria Mariangela
Published: February 2022

Land degradation is an endless challenge in the world. Thus, rehabilitation with organic amendments (OAs) is an urgent priority issue. The purpose of this study is to assess the effect of biochar and other OAs application on soil physicochemical properties and growth parameters of cover crops in greenhouse. Biochar, compost and manure were used as OAs. Soil samples were collected from nine random corners of 30 cm depth and composited. In each experiment, five treatments were considered (biochar, compost, manure, mixed and control) at 1:1 ratio of OAs and soil in a pot, with completely randomized design arrangement in triplicate. The field experiment was made on completely randomized block design and each block contained five 41 x 4 m plots assigned at random within the block and separated by 1 m walkways. OAs additions increased soil pH (5.69-8.13), cation exchange capacity (43.78-49.98 cmolc/kg), organic carbon (1.41-2.46%), organic matter (2.43-3.91%), total nitrogen (0.13-0.76%), available P (18.89-28.53 ppm) and (iron, Fe, manganese, Mn, copper, Cu and zinc, Zn) in comparison to non-treated soil. Tripartite treatments had the largest effect on the biomass of cover crops with 3.43 g fivefold of the control (0.7 g) in alfalfa and 4.54 g twofold of the control (2.07 g) in grass pea p ? 0.05. Both in field and greenhouse experiments combination of biochar and other OAs showed a better soil fertility increment and plant growth parameters. The study concluded that there is a synergistic effect in OAs on the soil fertility restoration and plant growth performance.
Design and Cost Optimization of Heat Exchangers Network System in a Typical Brewery Plant
Authors: Mathew Shadrack Uzoma , Aban Tamzor Lebari
Published: February 2022

Heat exchanger design and cost optimization had been carried out for Pabod Brewery, Port Harcourt, Rivers State, Nigeria using Pinch Technology as process application method. The gross energy expenditure by the plant is 10.44MW at production capacity of 400,000 liters of beer per day. On quantitative aggregate 6.157MW goes for heating and 4.267MW for cooling. A temperature pinch or minimum approach temperature (?Tmin) of 100C, minimum heating utility of 5.04MW and cooling utility of 3.09MW were recorded. Energy upturn of 1.08MW and 1.23MW for the hot and cold flows were measured. This finding correlates to energy conservationS of 18% for hot utility and 21% for the cold utility. Overall improvement in capital and annualized costs of 39% was achieved for the hot and cold utilities. The researchers strongly recommend the outcome of this research to process applications in brewery, chemical, petrochemical, oil and gas industries.
Engine Speed and Load on the Sealing Capacity of a Piston Ring-Pack
Authors: Selmani Erjon , Bisha Arian
Published: February 2022

The combustion chamber is ought to be perfectly sealed, however, part of the air and fuel mixture can escape from it. Among the several losses there is the gas flow from the inter-ring crevices, which is always present. This leakage is known as blow-by, and affects efficiency, correct lubrication and emissions. The amount of leakage is dependent on many factors, and among the most important are the engine speed and load, which are able to affect the system through the forces applied on it. The aim of this paper was to understand in a more detailed way how the engine speed and load could affect the sealing efficiency of a ring-pack. For this purpose, a complete range of speeds and loads were used in the simulations. The equations of the ring motions and gas dynamics has been implemented and solved in ©Ricardo RINGPAK solver. The results showed that inertia and inter-ring gas pressures drives the sealing behavior of the rings. The blow-by trend showed to decrease with the speed and increase with the load, exception made for the idle condition where the values were different to the other cases, especially at higher speeds. Among the two parameters, the engine speed resulted to affect more significantly the blow-by trend.
Mobile Phone Radiofrequency Radiation Assessment Based on Call-Related Factors and Physical Condition from Selected Mobile Phones
Authors: Oluwafemi Ilesanmi Banjo , Adeoye Olusegun Johnson
Published: February 2022

The intensity of electromagnetic radiation around selected mobile phones is in a bid to confirm their adherence to the specified radiofrequency exposure limit on non-ionizing radiation. Measurements were taken with the use of Radiofrequency Meter (RF) TM-96, 9V DC and Spectrum Analyzer (NA-773, 144/430 MHz) at distances 5 cm, 10 cm, 15 cm, 20 cm, 25 cm and 30 cm from the mobile phone users. The level of radiations from the selected mobile phones ranges from 0.3119 to 0.5407 mW/cm2 during dialing. Out of the tested mobile phones, the radiation levels of Asus, Infinix 3 and Siccoo X100 phones which are 0.5407, 0.5009 and 0.4506 mW/cm2 respectively are above the International Commission on Non-ionizing Radiation Protection (ICNIRP) reference level which is 0.45 mW/cm2. Result from measurement showed that high radiation levels from a transmitting handset occur between seeking for connection and call establishment. It was also confirmed that the physical condition of mobile phones affects its radiation level.
Vowels and Prosody Contribution in Neural Network Based Voice Conversion Algorithm with Noisy Training Data
Authors: Agbolade Olaide Ayodeji
Published: February 2022

This research presents a neural network based voice conversion model. While it is a known fact that voiced sounds and prosody are the most important component of the voice conversion framework, what is not known is their objective contributions particularly in a noisy and uncontrolled environment. This model uses a 3 layer feedforward neural network to map the Linear prediction analysis coefficients of a source speaker to the acoustic vector space of the target speaker with a view to objectively determine the contributions of the voiced, unvoiced and supra-segmental components of sounds to the voice conversion model. Results showed that vowels “a”, “i”, “o” have the most significant contribution in the conversion success. The voiceless sounds were also found to be most affected by the noisy training data. An average noise level of 40 dB above the noise floor were found to degrade the voice conversion success by 55.14 percent relative to the voiced sounds. The result also show that for cross-gender voice conversion, prosody conversion is more significant in scenarios where a female is the target speaker.
Anomalous Activity Detection in Videos Using Increment Learning
Authors: Didwania Prerna , Jagtap Vandana
Published: February 2022

Nowadays, there is a rapid growth in the number of video cameras at public and private sector because of the monitoring and security purposes. As video surveillance using Closed Circuit Television (CCTV) is in boom nowadays, it has got more research attention due to increased global security concerns. This rapidly growing data can be used to automatically detect the anomalous activities which are going around in our surrounding. Anomalous activity is something that deviates from its normal nature or something that opposes the normal events. This research mainly focuses on detecting anomalous activities in crowded scenes by using video data. Automatically detecting the anomalous activity without using the handcrafted feature has become the need of the hour. This paper contains a survey of different approaches used for anomaly detection in the past. Different incremental and transfer learning approaches are discussed in this paper and it was found that incremental learning has not been used for video-based anomalous activity detection.
Study of Metrics that Could be Considered as Inputs to an Intelligent System for Diagnosing Schizophrenia based on an Electroencephalogram (EEG)
Authors: Temgoua Nanfack Pélagie Flore , Junior Angouah Massaga Morel
Published: February 2022

Intelligent systems are now part of human daily life. This justifies its application in various fields. However, the field of psychiatry still seems to be at a disadvantage. In this paper, we are interested in measures that can be used as input to an intelligent system for detecting brain diseases using an electroencephalogram (EEG). Indeed, spectral analysis and the study of brain connectivity are two methods of EEG analysis that can be used to characterize schizophrenia. The spectral analysis allows to calculate the power (absolute and relative), the frequency peak among others. Concerning the study of cerebral connectivity, the Phase Lag Index (PLI), which is an adjacency matrix ; which is an adjacency matrix used to assess brain connectivity. Once the PLI is obtained, units such as degree, density and strength on each channel are calculated. These units are evaluated on twenty (28) EEGs, fourteen (14) of people suffering from schizophrenia and fourteen (14) of healthy people. Once the PLI is obtained, units such as degree, density and strength on each channel are calculated. These units are evaluated on twenty (28) EEGs, fourteen (14) of people suffering from schizophrenia and fourteen (14) of healthy people. On the other hand, the value of strength is always lower in sick people than in healthy people. This is true regardless of the frequency band or channel used. This study shows that values such as degree, density, strength of a predefined adjacency matrix, then power, peak frequency band can be used as input values of an intelligent system for diagnosing psychiatric or brain diseases such as schizophrenia.
Sleep Apnoea Disorder
Authors: Raut Aishwarya Deepak , Dixit Bharati
Published: February 2022

This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.
Energy and Economic Estimation for a Passive Solar Water Heating System Equipped with a Heat Pipe Evacuated Tube Collector:
Authors: Maraj Altin
Published: February 2022

The energy and the economic estimation for a passive solar water heating system under the Tirana climate conditions is performed. The trial system includes a heat pipe evacuated tube collector. To fulfil these objectives, measured values recorded every minute from the data logger of the system are used. The studied solar collector has a slope of 45° and is oriented 10° East from the South direction. The heat pipe evacuated tube collector has an aperture area of 1.476 m2. For an annual time period the irradiation on tilted solar collector area, the extracted energy from the storage tank, the delivered energy to the thermal consumer and the system efficiency were defined. Also, the economic assessment of the system is performed.
Model Approach to Analytically Identify Stuck Pipe and Its Mechanism in Wellbore
Authors: Oriji Boniface A. , Aire Iribhogbe Silas
Published: February 2022

Stuck pipe incidents translate to non-productive time. There is a need to mitigate stuck pipe incidents which can be achieved by conforming to recommended practices. Also, quick diagnosis is necessary in order to free a stuck pipe. Trial-and-error method can further complicate the situation. This work aims at diagnosing stuck pipe mechanisms and recommend practices to free a stuck pipe. spANALYZE also estimates the axial force and torque needed to free a stuck pipe caused by differential sticking. spANALYZE is a thick desktop client application developed in C# using the Microsoft Visual Studio 2019 development environment. It is an object-oriented .NET application that utilizes the Windows Presentation Foundation (WPF) architecture for its user interface. Each of the analyzers within spANALYZE were implemented generically as a list of nodes, representing the concept of a flow chart. New analyzers can easily be added simply by programmatically defining each node in the flow chart. Each node has a node identifier, a node type, node text, and the node identifiers of each answer – yes, no and restricted. spANALYZE presents the following benefits: quick and early detection of stuck pipe mechanisms, propose recommended action steps to free pipe, calculate stuck pipe depth, compute the torque and axial force needed to free a stuck string.
Impact of Cash Crops (Cocoa, Rubber Tree) on the Farmers’ Life Quality in Abengourou Department (East of Côte d’Ivoire)
Authors: Koffi Innocent , N’Da H. Dibi , Douffi Kouakou G. C. , Kouamé Koffi F. , Koffi Brou E.
Published: February 2022

Like Côte d’Ivoire forest area, Abengourou department has not escaped anthropic pressure. The forest in this area was the scene of intense Cocoa farming activities. However, due to the weaknesses and constraints observed in the Cocoa sector, it has been seen that from years 1990 - 2000, most of the farmers have abandoned their Cocoa farms in favor of a gradual conversion in Rubber farming. In fact, this crop is considered to be a new booming income crop that tends to improve and guarantee the farmer’s life quality. This situation leads to an amalgam for the growing of Cocoa or Rubber. This study aims to determine the impact of Cocoa and Rubber farms on the farmer’s life quality in Abengourou (Côte d’Ivoire). Thus, field missions, documents analyze and directive surveys of farmers, cartographic and statistical processing have made it possible to establish correlations between Rubber tree or Cocoa farming and the farmer’s life quality. It follows from the correlations, that after analysis, the Rubber tree would have a positive influence on the farmer’s life quality than Cocoa. Moreover, Human Development Index (HDI) was measured respectively between the Cocoa and Rubber growers in the study area. The HDI of the Cocoa farmers is 0.455 and that of Rubber is estimated to 0.461. So, it is confirmed from these analyses that, in 2016, the growing of Rubber improves the farmer’s life quality more than that of Cocoa in the study area.
Review of the High-speed Permanent Magnet Rotor Stress Analysis used for Automotive Air-handling Machines
Authors: Mallin Levi Ryan , Barrans Simon Mark
Published: February 2022

Machines incorporating high-speed electrical machines (HSEM) are becoming increasingly common place in applications including air handling, energy storage and medical devices. They are of increasing interest within the automotive field for air handling applications. HSEM’s use surface-mounted permanent magnet (PM) rotors, manufactured from rare earth metals. However, these PM’s have low tensile strength and are susceptible to failure under the centrifugal load produced at high speed rotation. Retaining sleeves which are an interference fit around the magnets, provide compression and hence resistance to tensile stress. The ability to predict the stresses within the rotor assembly is essential for robust design. This review paper examines existing analytical calculations and finite element analysis (FEA) models. The analytical approaches include both plane stress and plane strain models and the limitations of these are discussed. For relatively long rotors, a generalised plane strain approach is suitable, however it is seldom used. In addition, this latter approach has not been extended to assemblies where the magnets are assembled onto a carrier or shaft. Optimisation of rotors has been addressed in a relatively small number of papers. However, further work is required in this area to ensure that the optimised rotors can be manufactured.
Development of the Instrumentation Unit of a Motorized Precision Planter
Authors: Soyoye Babatunde Oluwamayokun
Published: February 2022

The performance of precision planters is very important for attaining uniform seed spacing. Seed metering units of planters receive their motion from the driving wheel through various transmission members such as the chains, gears, shafts and belts. The slippery situation that do occur at the driving wheel adversely affects the performance of the metering unit. The research aimed at developing a planter whose metering wheel is totally eliminated and the entire operation could be well monitored. The DC motor incorporated to drive the metering shaft was powered by the pulses generated through the ON and OFF situations of the transistor. The planter was evaluated to determine its optimum operational conditions. The results showed that the forward speed of the planter is proportional to the rotational speed of the metering shaft. The optimum speed of the metering shaft is 45 rpm at the forward speed of 1.3 m/s.
Effect of Partial Replacement of Polymethyl Methacrylate(PMMA) on the Compressive and Flexural Strength of Ordinary Cement Mortar
Authors: Rustum Mustafa Kadhim , Eweed Khalid M.
Published: February 2022

In this paper studied the impact of the partial replacement of the cement by self-cure polymer (polymethyl methacrylate PMMA) in different ratios on the compressive strength, flexural strength and microstructural analysis, five ratios of cement replacement (1%, 3%, 5%, 7%, and 9%) by PMMA, these tests have been performed after curing at an early age (7days) and standard age (28days). The preparation of the mortar has been performed with the use of 1:2 cement to the sand ratio by weight, with (0.5) water to binder ratio and polymer to self-cure monomer (methyl methacrylate MMA) ratio 2:1. Results have shown that the flexural and the compressive strengths of mortars have been increased with increasing the ratio of the replacement (1%, 3%, 5%) and then decreased at replacement ratio (7% and 9%). The best results of the new cement mortar were reached at the partial replacement of cement with 5% of PMMA were recorded enhancement of compressive strength15.8% at an early age and 24.4% for standard age and enhancement of flexural strength 16.8% at an early age and 19.4% for standard age, from scanning electron microscopy SEM analysis observed the PMMA filling the pores and form more homogeneous microstructure in G32 as compared with the microstructure of G1.
Study A Public Key in RSA Algorithm
Authors: Obaid Taleb Samad
Published: February 2022

To transmit sensitive information over the unsafe communication network like the internet network, the security is precarious tasks to protect this information. Always, we have much doubt that there are more chances to uncover the information that is being sent through network terminals or the internet by professional/amateur parasitical persons. To protect our information we may need a secure way to safeguard our transferred information. So, encryption/decryption, stenographic and vital cryptography may be adapted to care for the required important information. In system cryptography, the information transferred between both sides sender/receiver in the network must be scrambled using the encryption algorithm. The second side (receiver) should be outlook the original data using the decryption algorithms. Some encryption techniques applied the only one key in the cooperation of encryption and decryption algorithms. When the similar key used in both proceeds is called symmetric algorithm. Other techniques may use two different keys in encryption/decryption in transferring information which is known as the asymmetric key.  In general, the algorithms that implicated asymmetric keys are much more secure than others using one key.   RSA algorithm used asymmetric keys; one of them for encryption the message, and is known as a public key and another used to decrypt the encrypted message and is called a private key. The main disadvantage of the RSA algorithm is that extra time is taken to perform the encryption process. In this study, the MATLAB library functions are implemented to achieve the work. The software helps us to hold very big prime numbers to generate the required keys which enhanced the security of transmitted information and we expected to be difficult for a hacker to interfere with the private information. The algorithms are implemented successfully on different sizes of messages files.
Moisture Sorption Studies of Kamsa:
Authors: Yusuf Hauwa L. , Isma’il Balarabe B. , Igwegbe Amin Oderaa , Idakwo Paul Y. , Bako Hadiza K.
Published: February 2022

The study was aimed at establishing storage stability indices of a traditional smoke dried product kamsa, produced from beef. The sample was produced using a standardized method and stored over a period of six months. Data for sorption studies was generated between the temperature ranges of 33.8oC to 50oC for adsorption and desorption using the gravimetric method. The data was analyzed using the Guggeinheim Anderson de Boer (GAB) and the Brunaeur Emmett Teller (BET) model equations. A nonlinear regression analysis method was used to evaluate the constants of the sorption equations. From the results using the GAB model, the monolayer moisture content (Mo) decreased from 0.021 to 0.008gH2O/g solids; the value of the constant K, increased from 0.587 to 1.052; and the value of CG decreased from 2.481 to 2.154. For desorption, the value of Mo decreased from 0.021 to 0.004g H2O/g solids; K increased from 0.587 to 1.035; CG increased from 2.173 to 2.646. The model gave low percent standard error values. The correlation coefficient (R) values obtained for both adsorption and desorption ranged from 0.998 to 0.999, and 0.991 to 1.000, respectively. The Mo values using the BET model at 33.8oC for both adsorption and desorption were 0.055, 0.055, 0.052, 0.049, 0.058, 0.055g H2O/g solid; and 0.057, 0.057, 0.052, 0049, 0.052, 0.057g H2O/g solid, respectively. At 50oC, the adsorption and desorption monolayer moisture values were 0.039, 0.047, 0.049, 0.049, 0.052, 0.058 gH2O/g solids; and 0.054, 0.047, 0.052, 0.052, 0.039, 0.052 gH2O/g solids, respectively. The study concluded that, the GAB model was more suitable in describing the sorption characteristics of Kamsa within the prescribed water activity and temperature ranges.
Analysis of Hydrate Formation Temperature and Water Dew Point of Processed Crude Oil and Gas using Unism Simulator
Authors: Amadi Azubuike Hope , Okafor Chukwuebuka E.
Published: February 2022

Flow assurance has been a topic of concern since the start of crude oil and gas production and transportation. The formation of Hydrates is an important issue likely to cause clogs in pipelines during production and transportation of oil and gas. Therefore, production and transportation of such fluids are simulated using software’s like Unism to know the possibility of hydrate occurrence so they can be avoided. This work is based on the simulation of processed well effluents from Rose Field to analyze the hydrate formation temperature and water dew point at different points of the process facility. At the crude oil line the hydrate formation temperature was -69.9565 C, while the water dew point was not defined because it’s a liquid phase. At the gas line the hydrate formation temperature was 4 C at 1803psia and water dew point was -42.7 C. These values are parameters necessary for hydrate formation prediction, hence, they were analyzed and recommendations made to manage effective flow assurance.
Automated Greenhouse Monitoring and Controlling System using Sensors and Solar Power
Authors: Hoque MD Jiabul , Ahmed Md. Razu , Hannan Saif
Published: February 2022

In traditional farming, farmer has to visit the farming land regularly to measure the various environmental parameters such as temperature, humidity, light intensity and soil moisture to cultivate the right crops at right time in right soil. Even though this traditional farming system have been used for years, the system is hectic and fail to prove high productivity rate as farmer usually unable to measure all the parameter accurately [1]. In contrast, greenhouse farming is a system where farmer cultivate crops in ecosystem environments where all environmental parameters are adjusted based on crops types. Automation in greenhouse is a method where farmer is able to monitor and control the greenhouse environment automatically from anywhere in the world any time [3]. In this paper, authors proposed an automated greenhouse monitoring and controlling system that incorporate various sensors such as temperature sensor, humidity sensor, light sensor and soil moisture sensor to collect possible environmental parameters of greenhouse as well as integrate Arduino Uno R3 (to store and process data), GSM module (to send the measured value of the various parameters to the user cell phone via SMS to ensure efficient growth of plants), solar power system with rechargeable battery (to make sure continuous power supply to the greenhouse system). Moreover, Internet of Things (IoT) is used to store data to a database and process the collected data and finally send the information to the android apps which has been developed for monitoring and controlling of greenhouse by the user. Moreover, the authors compared the proposed greenhouse model with some recent works and found the proposed system cost effective, efficient and effective by analyzing major environmental parameters. Finally, authors analyze the cost associated with the deployment of proposed greenhouse model which depict quite affordable for farmers and worth deploying.
Archery Bow Design Equation
Authors: Verma Rahul
Published: February 2022

Bow and arrow is one of the ancient combat tool used for defense, hunting and in recent times, used in sports. There have been several improvements in archery since then. Bows, as we know today are made from several components, materials and are available in different shapes and designs. There have been several variations in the bow design, broadly categorized under traditional bow or long bow, recurve bow, cross bow and compound bow. They may look very different and may have different efficiency but their underlying principle of operations have not changed much in past decades. There have been several studies and patents filed for new designs of the bows to improve the efficiency and several accessories have also been introduced to improve targeting, stability, and power. In this study using laws of physics, a design equation has been established which can be used as basis for deriving various aspects of the bow design and can be used for creating new bow designs with added efficiency. The bow design equation in this study is named as ‘RV bow design equation’ which is split into three parts to cover the aspect of arrow mass, energy stored in the bow, and energy transferred to arrow to give designers holistic view of the bow design and ability to monitor several parameters independently and in conjunction to each other. This equation will facilitate designers to make informed decisions about several aspects of the bow and they can use this equation to maximize the energy or velocity output of the arrow with a given design and material used for construction.
Development of a Hammer Mill with Double Sieving Screens
Authors: Ojomo Oluyemisi Adebanjo , Fawohunre A. J.
Published: February 2022

A hammer mill with double sieving device was designed and fabricated from locally available materials for grinding grains and other agricultural products. The conceptual design was based on the principle of design by analysis. The test carried out on the machine showed that the crushing capacity of the machine is 51.5 Kh/hr. The moisture content, machine speed and the interaction between them had significant effect on the milling power and specific energy requirement at 5 % level of significance. Milling power and specific energy requirement of the machine increased with increase in moisture content. The maximum crushing efficiency of 79.3 %, minimum milling power and specific energy requirement of 0.09 Kw and 3.04 Kwh/mg respectively were obtained at moisture content of 8 % (wb) and machine speed of 2000 rpm. Regression models that could be used to express the relationship existing between the hammer mill performance indices, product moisture content and machine speed were established. The machine has dual purpose for either electric motor or petrol engine.
Environmental Impact Assessment of Ala-River Akure, Ondo State Nigeria
Authors: Ijaware Victor Ayodele
Published: February 2022

With an increase in urbanization, there is need for a constant assessment and monitoring of environmental features. Environmental Impact Assessment (EIA) has been used in this research was to assess the impacts of Ala River in Akure on the environment using Geographical Information System (GIS) techniques. The data collection involved the use of Questionnaires and the design were based on four criteria: socio-cultural, climatic, economic, Health and Safety Impact factors. Using ArcMap, Buffer Analysis was performed around the River to get those features most susceptible to the impact of Ala River and also to guide the expanse where opinion survey was carried out at different locations around the river. Analysis of Variance (ANOVA) was used to analyse the data acquired and the Hypothesis tested were used to generate outcome set for each of the criteria’s. From the results of the study, it was discovered that the River has impacts on the Social-Cultural state of the environments (P<0.05), Climate of the environment (P<0.05) and Health and Safety state of the environment including the people around it(P<0.05) but the River does not have major impacts on the Economic factors (P>0.05).The research recommends that additional effort need to be put in place on all fronts if the results acquired from environmental assessment is to be put to good use.
Simplified Rate Expression for Palm Kernel Oil (PKO) and Methanol Alkali Catalyzed Transesterification Reaction
Authors: Okewale A. D. , Abowei Millionaire Freeborn Nestor , Agbogun F. O. , Owabor C. N.
Published: February 2022

The need for the development of simplified kinetics rates expression (-RA) for Vegetable Oils Alkali catalyzed Transesterification processes to enhance biodiesel production motivated this study. The study, therefore aimed at proposing unified simple rate expression that may be a useful prelude to design various reactor types for Alkali Catalyzed Transesterification of palm kernel oil (PKO) and Methanol reactions. The kinetics   rate expression is proposed using simple explicit algebraic technique with the consideration that alkali catalyzed transesterification reaction of palm kernel oil and methanol is a reversible bimolecular reaction. The proposed kinetic reaction rate expression is developed as a function of conversion (XA), reactants and products concentration and reaction rate constants (k1 and k2). The kinetics reaction rate expression obtained is further evaluated   on the basis of reactants and product molar masses and densities. The developed models were simulated using Matlab codes programming techniques. The results for kinetic reaction rates (-RA & -ReA) decreases with decrease in fractional volume change (e) and increase in fractional conversion at constant reaction time. The results were quite compatible with those of inferential laboratory physicochemical characterization reported.
Smart Home: An Empirical Analysis of Communication Technological Challenges
Authors: Ahmed Md. Razu , Rahman Mohammad Osiur , Hoque Md. Jiabul
Published: February 2022

Smart home is a prime research interest among researchers around the globe due to the fact that it offers ample features to make people’s life effortless and efficient. People can lead their life smartly through the use of smart home technology [17]. There are numerous communication systems in both wired and wireless media exist that are used in smart home technology. However, not a single communication system itself can satisfy all the demands of secure, comfort and intelligent smart home system. Wireless communication is flexible, requires negligible number of instruments, cheap and easy to install but the key concerning issue for wireless communication system in smart home technology is the slow data rate. In contrast, wired communication provides better performance through the provision of higher data rate and uninterrupted connectivity; however, consumers have to pay substantial amount of payment for smart home services [3]. Therefore, it is essential for researchers to analyze both wired and wireless communication system in terms of data rate and area of coverage in order to find out the right communication system for right feature of smart home system. In this paper, authors reviewed and analyzed both wired and wireless communication methods that are commonly used in smart home technology. It can be seen after careful analysis that for majority of the services of smart home system can get better result through the use of wireless communication system even though wired communication system offers better data rate and greater coverage.
Synthesis of Blockchain, Artificial Intelligence and Internet of Things
Authors: Parker Brian , Bach Christian
Published: February 2022

This paper is an exploration of several theories on the synthesis of the Blockchain(BC), the Internet of Things (IoT), and Artificial Intelligence(AI) through a literature review. Blockchain technology is a decentralized peer-to-peer network that stores records and transactions in immutable blocks secured by cryptography. The decentralization aspect of blockchain eliminates the need for trusted third party interceder. Internet of Things(IoT) is an interrelated computer system that makes a connection between computers and humans to communicate in several areas; smart devices like homes, cars, radio are just a few examples. IoT challenges are security, connectivity, issues with the analysis of big data, centralization, and vulnerability to attacks.  Artificial Intelligence(AI) machine learning technology is the advanced decision-making process that influences daily routines such as banking, healthcare, gaming, transportation, and space exploration, among others. AI’s challenges are; security, centralized architecture, and resource limitations. The methodology will be a comprehensive quantitative analysis of the existing research and how these technologies can be a transformative impact on how information is accessed through enterprise and society. The convergence of BC, AI, and IoT will provide scalable, secure high-level intellectual functioning that will be the new paradigm of digital information.
Study on Roughness of Workpiece Surface When Centreless Grinding of SAE1045 Steel
Authors: Ky Le Hong
Published: February 2022

This paper presents a study of roughness of surface of centreless grinding workpiece with horizontal feed. The testing material used in this study is SAE1045 steel. This study was conducted with three main contents. The first one is an experimental study that determines the impact of dressing feed rate, depth of dressing, horizontal feed rate and the velocity of control wheel to roughness of workpiece surface. The second one is to build the roughness model of workpiece surface by the response surface method. The third one is to use the roughness model to predict the surface roughness, and compare with roughness value when testing. The issues that need to be carried out in subsequent studies have also been mentioned in this paper.
Development, Kinematic Modeling and Analysis of 3 (DoF) Pneumatic Gantry Robot
Authors: Mohamed Awad Eisa G. , Elhassan Abuobeida Mohammed
Published: February 2022

Low friction pneumatic cylinders are now being considered in applications for which only electric motors or hydraulics were previously considered suitable. One potential application of low friction pneumatics is robotic for metallurgical operations where the high power to weight ratio and low cost could be exploited. As part of an ongoing project to develop a pneumatic robot, this paper presents the kinematic analysis of pneumatic cylinder characteristics that simplifies controller design. Using mathematical modeling and simulation, non-linearity of modern pneumatic systems have been investigated. The derived models give an excellent representation of the system, despite the inclusion of a simplified friction model.
Developing A Seizure Prediction Algorithm for A Non-Invasive Neuromodulator
Authors: Asgharpour Mahnaz , Sedighi Mehdi , Jahed Motlagh Mohammad Reza
Published: February 2022

In this study, a novel real-time seizure prediction algorithm is introduced to predict epileptic seizures. The proposed algorithm is expected to be applicable in a noninvasive neuromodulator. As a model of the epileptogenic zone, a small-world network of Huber-Braun neurons was built up. To assess the effects of noninvasive stimulation techniques, such as transcranial magnetic stimulation, this network was modified, and the magneto-motive forces and the electromagnetically induced currents were further applied on the network. Comprehensive investigations of the electroencephalograms of epilepsy patients have suggested that some chaotic mechanisms generate the seizures. Hence, chaos and bifurcation theory was applied, and the induced current was considered as the bifurcation parameter. The bifurcation diagram of the 'inter-spike' intervals of the mean voltage of the small world network was obtained. The precise time at which the bifurcation took place was subsequently considered as the time of the seizure onset. Comparisons of the bifurcation diagrams obtained from the patients’ electroencephalographs showed that the proposed network model could reasonably represent the actual neuronal networks of the epileptogenic zone. A dataset of the electroencephalographs of epilepsy patients and normal volunteers from an epilepsy center in Germany was used to validate the prediction algorithm. The simulation results show that the proposed algorithm has a significant capability to predict the precise occurrence of seizures and the achieved sensitivity, accuracy, and specificity of this approach were remarkably higher than those reported in previous studies.
Inquisition on the Combined Effects of Ambient Temperature and Relative Humidity on The Performance of a Uniform Speed Single Shaft Gas Turbine in Tropical Monsoon Climate, using GPAL
Authors: Abhulimen Abel Edeowede , Bonet Mathias Usman , Oyekunle Olukayedo , Achara Nnorom , Solomon Wunuken Carlos
Published: February 2022

This paper investigates the combined effects of Ambient Temperature and Relative Humidity on the performance of a uniform speed single shaft Gas Turbine, sited in Tropical Monsoon climate. A single shaft gas turbine simulator (known as GPAL) from Gas path Analysis ltd was employed. The City of Portharcourt, Nigeria, was chosen to represent the tropical monsoon climate, with its climatic data of monthly ambient temperature and relative humidity obtained from Koppen. With parameters like speed, reference power, inlet and exhaust losses kept constant, the ambient temperature and relative humidity were continually varied according to their climatic values. Each time, the performance of the gas turbine was simulated and parameters such as; Efficiency, Turbine power and Net power output, Turbine inlet Temperature and Exhaust Gas Temperature, as well as Specific fuel consumption were monitored. The environmental impact of the gas turbine was equally assessed in terms of Carbon (IV) Oxide (CO2) emission in Tonnes/day and in Kg/MWhr, NOX emission and Carbon Monoxide (CO) emission. The results of the study indicate that it is most efficient and productive to operate the gas turbine in Portharcourt in the months of January and December whereas it is least efficient in the month of April. Whereas CO emission was relatively low and uniform throughout the year, the highest specific fuel consumption was recorded in April.
Finite Element Analysis of Key Influence Parameters in Reinforced Concrete Exterior Beam Column Connection subjected to Lateral Loading
Authors: Diro Gemechu Abdissa , Kabeta Worku Feromsa
Published: February 2022

Beam column connection is the most critical zone in a reinforced concrete frame. The strength of connection affects the overall behavior and performance of RC framed structures subjected to lateral load and axial loads. The study of critical parameters that affects the overall joint performances and response of the structure is important. Recent developments in computer technology have made possible the use of Finite element method for 3D modeling and analysis of reinforced concrete structures. Nonlinear finite element analysis of reinforced concrete exterior beam column connection subjected to lateral loading was performed in order to investigate joint shear failure mode in terms of joint shear capacity, deformations and cracking pattern using ABAQUS software. A 3D solid shape model using 3D stress hexahedral element type (C3D8R) was implemented to simulate concrete behavior. Wire shape model with truss shape elements (T3D2) was used to simulate reinforcement’s behavior. The concrete and reinforcement bars were coupled using the embedded modeling technique. In order to define nonlinear behavior of concrete material, the concrete damage plasticity (CDP) was applied to the numerical model as a distributed plasticity over the whole geometry. The study was to investigate the most influential parameters affecting joint shear failure due to column axial load, beam longitudinal reinforcement ratio, joint panel geometry and concrete compressive strength. The Finite Element Model (FEM) was verified against experimental test of exterior RC beam column connection subjected to lateral loading. The model showed good comparison with test results in terms of load-displacement relation, cracking pattern and joint shear failure modes. The FEA clarified that the main influential parameter for predicting joint shear failure was concrete compressive strength.
GSM Based Automatic Energy Meter Reading and Billing System
Authors: Mortuza Mohammad Golam , Ahmed Zia Uddin , Jaki Hassan , Ahmed Md. Razu , Uddin Mohammed Jashim , Kabir Md. Humayun
Published: February 2022

These instructions give you guidelines for preparing papers for An existence without electricity can't be thought of since it turns into an integral part of human life. In a developing country, people use postpaid electricity for their own purposes. Be that as it may, they don't know the amount of electricity they have consumed and how much cost they have done likewise till they receive the consumption bill at the end of the month. Also, in prepaid meters, to see consumption details, people have to go in front of the meter. In this research, a system has been designed based on GSM technology to solve this problem. The prepaid meter has to be recharged; as a result, clients can use the electricity. The system alerts the client for any kind of emergency. Besides, when the client is away from the house, he can easily switch off the supply of electricity by sending an SMS. This project will support both society and country because it helps to reduce the wastage of electricity and to check electricity consumption and bill from remote distances.
Surface Roughness Model when Hole Turning SAE 420 Steel
Authors: Le Ky Hong
Published: February 2022

In this paper, a study on surface roughness model when hole turning SAE 420 steel has been done. This study has been presented with three main contents. The first content is to determine the influence of some parameters on the surface roughness. The second content is to build a quadratic model showing the relationship between surface roughness with cutting velocity, depth of cut, feed rate and nose radius. The third content is to evaluate the accuracy of surface roughness model by comparing the roughness value when estimating and roughness value when testing. The development directions for further studies are also mentioned in this study.
Comparative Effectiveness of Flotation Technique at Varying Conditions for Beneficiation of Itakpe and Agbaja Iron Ores
Authors: Akande Serah , Alabi Oladunni O. , Ajaka E. O. , Olatunji Temitope Amos
Published: February 2022

Itakpe and Agbaja iron ores are part of prominent iron deposits in Nigeria, yet studies on their beneficiation via froth flotation are relatively limited. Thus, this research investigated comparatively the flotation behaviour of both ores at varied pulp pH, particle size, and collector type. The ores were also examined using Energy Dispersive X-ray Fluorescence Spectroscopy, Petrological, and fractional sieve size analyses. Fifty (50) kg sample each of the ores was sourced for the research. Then, size fractions (63, 75, and 125 mm) of each ore were prepared and subjected to froth flotation using different collectors; Potassium Amyl Xanthate (PAX), Sodium Ethyl Xanthate (SEX), and Oleic Acid, at varying pulp pH ranging from 9-11. From the results obtained Itakpe iron ore assayed 36.18% Fe2O3 and contains predominantly haematite, sillimanite, and quartz while Agbaja iron ore contains chiefly, quartz and haematite, and assayed 40.6% Fe2O3 alongside 1.505% P2O5. The liberation sizes of both ores lie favouraby in the range -125+75 µm. Beneficiation studies carried out revealed that significant enrichment of both ores was actualized. Thus, it was established that Itakpe iron ore is best processed using PAX at pH 11 and particle size of 125 µm yielding concentrates assaying 67.66% Fe2O3 at a recovery of ~90% while for Agbaja iron ore, PAX at pH 9 and particle size of 63 µm is considered best to yield enriched concentrates assaying 65.5% Fe2O3 at 52.5%.recovery.