bluuebunny/crossref_metadata_2025_split huggingface dataset:
Threshold Segmentation and Watershed Segmentation Algorithm for Brain Tumor Detection using Support Vector Machine
Authors: Hatcholli Seere Santhosh Kumar , Karibasappa K. 
Published: February 2022

Brain Tumor is a dangerous disease. The chance of the death is more in case of the brain tumor. The method of detection and classification of brain tumor is by human intervention with use of medical resonant brain images. MR Images may contain noise or blur caused by MRI operator performance which can lead to difficult in classification. We can apply effective segmentation techniques to partition the image and apply the classification technique. Support Vector machine is the best classification tool we identified as part of this work. The use Support Vector Machine show great potential in this field. SVM is a binary Classifier based on supervised learning which gives better result than other classifiers. SVM classifies between two classes by constructing hyper plane in high-dimensional feature space which can be used for classification.
Smart attendance system using Convolution Neural Network and Image Processing
Authors: ChayaDevi Senigala Kuruba , Agnihotram Vamsi 
Published: February 2022

Smart attendance maintenancesystem has been a research topic from past a fewdecades; each method has its own disadvantages and advantages.An algorithm using Convolutional Neural Network and Image processinghas been proposed in this paper to overcome the disadvantages of the previous algorithms. Image recognition is playing an important role in the modern living like driver assistance systems, medical imaging system, quality control system to name a few. An Artificial Neural Network along with image recognition used to enhance the reliability of the attendancesystem. One such update used here is CNN.Deep learning has been an emerging technology hence opted to implement the smart attendance system.The implementation basically consists of three components : 1)Face scanning and detection using HAAR cascade method 2)Training the CNN-ANN model 3)Recognize the face and update the attendance .The main motivation of our work is to merge three of the emerging technologies : Machine learning , Image Processing and IOT . Key advantage of this implementation is that a deep learning model increases its accuracy with more epochs of training andit optimizes the run time.
Uncertainty Approaches for Solving Generalized Machine Maintenance Problem
Authors: Abass Samir Abdou , Abdallah Asmaa S. , Elsayed Marwa Shehata , Ahmed Eman Massoud 
Published: February 2022

In this paper, the generalized machine maintenance problem is formulated as linear programming model. The objective is to maximize the percentage production hours available per maintenance cycle of each machine. Data in many real life engineering and economic problems suffers from inexactness. There are different approaches to deal with uncertain optimization problems. In this paper two different approaches of uncertainty, Fuzzy programming and rough interval programming approaches will be introduced. We deal the concerned problem with uncertain data in coefficients of the constraints for the two approaches. A numerical example is introduced to clarify the two proposed approaches. A comparison study between the obtained results of the two proposed approaches and the results of interval approach for Samir A. and Marwa Sh [3] will be introduced.
Rogowski Coils for Design of Energy Meters for Nigeria Power Market
Authors: Iloh John Paul I. 
Published: February 2022

Proper metering of electricity consumption is the optimal way for effectively recovering revenues for power supplied to the consumers by the distribution companies (DISCOs). In Nigeria, the situation is quite problematic due to inadequate metering of the consumers. As a result, huge amount of revenues due to the DISCOs are left uncollected leaving the DISCOs to resort to estimated billing system. To solve this problem, this paper proposes a locally made digital energy meter built from locally available materials in Nigeria. Specifically, this work proposes to use an inexpensive rogowski coil wound from made-in-Nigeria wire on an improvised air core material as the current sensing element to be used in the meter. Two rogowski coil samples wound from SWG 36 and SWG 25 wires having resistances of 50ohm and 1.3 Ohms respectively were subjected to repeated experimental tests in order to study their characteristic behavior under varying load current scenarios. The results obtained were used to characterize the coils behaviors by using the basic fitting tool in MATLAB graphing window to generate the optimal equation representing the coils’ behaviors. The equations so obtained are intended to be used to program the microcontroller for implementation of the Digital Energy Meter algorithm adopted in the proposed design. Results from the experiment showed that the coil with lower resistance exhibited better linear response while the coil with higher resistance was better optimized by quadratic and cubic polynomials. These findings serve as design guide for local fabrication of the rogowski coils to be used in the proposed digital energy meter being developed for the Nigerian power market.
Web-Based Interactive Health Record System (WIHRS)
Authors: Akinbohun Folake , Akinbohun Ambrose , Ojo Omoniyi Akintunde , Daodu Babalola 
Published: February 2022

A Web Based Interactive Health Record System (WIHRS) is a digital web-based record of patients presenting in a hospital. The information so generated on patients can then be accessed by medical personnel to provide treatment for them in any health care delivery setting at any location. Analogue ways of record keeping were the traditional way of documenting patients’ information by health information officers. The problems of unavailability of a centralized database system and inability to access patients records and provide prompt treatment to patients at any healthcare centre could be solved by WIHRS. The objective of the paper is to design a WIHRS. The methods included cloud computing model, service model, deployment model and cloud hosting. The web technologies languages such as Hypertext Pre-processor (PHP), Hypertext Mark-up Language (HTML), Cascading Style Sheet (CSS) and Ajax were deployed to implement the proposed system. The use of WIHRS improves the standard of healthcare to patients with optimal efficiency.
Free Induction Decay and Spin Echo Signals from Spin Triplet States of Axially Asymmetric Objects in Single Crystals in Zero Constant Magnetic Field:
Authors: Fokina Nathalie P. , Elizbarashvili Maia O. 
Published: February 2022

Anisotropic dynamics of the spin triplet states (STSs) in single crystals with the zero field splitting (ZFS) of their levels by the axially asymmetric Hamiltonian is investigated in zero constant magnetic field (ZF) under the action of the canonically oriented varying magnetic fields. The equations of motion for single transition operators (STOs) corresponding to the definite transition of ZFS are derived. The obtained equations written in terms of one averaged equation for STO vector appeared to be a particular case (for STS) of the universal equation of Feynman et al, which is valid for any kind of perturbation affecting only two levels of any quantum mechanical system. As well as that, our equation is analogous to the Bloch equation without decay for the usual magnetization components of the Zeeman system in a constant magnetic field and a transverse to it varying field. This statement is valid, if the population probabilities of the corresponding levels of STS are not artificially equalized. At that, the motion of the observable macroscopic sample magnetization, which follows from our equations, has quite different character. Here, in terms of this magnetization the signals of the free induction decay and of the two-pulse spin echo are calculated in ZF.
Comparison on Impact of HIV/AIDS Patients Characteristics On Their Blood Pressure in Nigeria
Authors: Ezeokeke Chinazo Anthonia , Okoli Cecilia Nchedo 
Published: February 2022

The study focused on comparison on impact of HIV/AIDS patient’s characteristics on their blood pressure in Nigeria: a case of NAUTH, COOUTH and Onitsha general hospital in Anambra State. The blood pressure being the response variables are systolic blood pressure & diastolic blood pressure, while the predictor variables being the HIV/AIDS patient’s characteristics are age, baseline count, initial weight, present weight and CD4 count of HIV/AIDS patients. The R software package was employed to facilitate the data analysis. The Multivariate Regression Model of the two response variables (Systolic PB and Diastolic PB) was first fitted with the coefficient of determination of 31.88% and 46.80% respectively for NAUTH data, 27.9% and 37.98% respectively for COOUTH data and 97.35% and 57.15% respectively for general hospital, Onitsha data. The test on the significance of the parameters for the multivariate regression for NAUTH data revealed that age and baseline count of HIV/AIDS patients have significant relationship with systolic BP at 5% level of significance, whereas other predictor variables (initial weight, present weight and CD4 count of HIV/AIDS patients) are not significant, while in the second model, only age has a significant relationship with diastolic BP, whereas initial weight, present weight, baseline count and CD4 count of HIV/AIDS patients do not have significant relationship with diastolic BP at 5% level of significance. The test on the significance of the parameters for the multivariate regression also revealed that only age has significant relationship with systolic and diastolic BP at 5% level of significance, whereas other predictor variables are not significant for both COOUTH and general hospital Onitsha data. It was further revealed that the data collected from the general hospital Onitsha has the highest coefficient of determination (0.9735) with the lowest AIC (1348.944), BIC (1374.462) and residual standard error (2.587) for systolic blood pressure model which makes the data used in this study the most suitable for the model employed under the stipulated year of study. Also observed that the same data collected from the general hospital Onitsha has the highest coefficient of determination (0.5715) with the lowest AIC (1825.917), BIC (1851.435) and residual standard error (6.008) for diastolic blood pressure model which equally makes the data used in this study the most suitable. It is clear from the result obtained in this study that the data set collected from general hospital, Onitsha from 2003 to 2017 is most appropriate for the multivariate multiple linear regression models.
Robust Controller for Kaplan Hydroturbine Governor System Based on Fast Terminal Sliding Mode Control (FTSMC)
Authors: Samba Aime Herve , Tamtsia Aurelien Yeremou , Nneme Leandre Nneme , Korassaï Korassaï 
Published: February 2022

In this paper a fast terminal sliding mode control (FTSMC) is used for speed control of Kaplan hydroturbine governing system in the presence of load torque disturbance. The stability of the proposed controller is proved with the lyapunov function method.The results indicate that the proposed terminal sliding mode controllers not only have a faster response and allows to carry out high performances as well in precision as in finite time of convergence. Moreover, the comparisons of the dynamic performances between the proposed fast terminal sliding mode controllers (FTSMC) and non-singular fast terminal sliding mode controllers (NSTSMC) , are discussed at the end of this paper, where the effectiveness and robustness superiority of the fast terminal sliding mode controller proposed also is been verified.
Mixed Finite Element Matrix for Plate Bending Analysis Using Weighted-Residual Integral and Weak Formulation
Authors: Ahmed Abdarrhim Mohammed , Barony Saleh Y. 
Published: February 2022

The Conventional Finite Element Method for the analysis of plate bending based on a the principle of stationarity of total potential energy which is well known as Stiffness Formulation , using a variety of conformal and no-conformal elements was widely applicable in early of numerical solutions for such problems , later in order to improve the efficiency of such solutions , a more general and flexible formulation called Mixed Formulation based on variational principles which can be regarded as an extension of the Stiffness principle become important alternative. The explicit stiffness matrix for plate bending was given in the most if it`s not in all literatures so the reader can easy follow the solving procedure for such problems and verifying any published results , however such like-matrix (Augmented Matrix) in case of mixed formulation not given , at least for simple elements in the literatures as well as concerned researches . This quietly leads to some difficulties concerning the verification as well as understanding the published results. The main objective of this paper is to introduce this matrix in abbreviated size followed by a applicability through a some detailed examples for some bending models. The derived matrix will be helpful subject of research work in addition to , reveals a very good feeling with understanding and verification the published results in plus to comparing with the analytical solutions of different plate bending problems as the reader can do that.
Assessment of the suitability of reconfigurable design through simulation and decision trees
Authors: Ramirez  Guzman Ricardo Irving , Chew Hernández Mario Luis , Viveros Rosas Mtro. Leopoldo , Figueroa Ricardo Rodríguez 
Published: February 2022

Positioning of the equipment of a manufacturing company is done foreseeing that it will remain fixed for a long time. This is because changes in the plant layout are thought to be costly, as they involve redesigning equipment support services, developing new foundations, using heavy machinery to move equipment, and causing non-productive time at the plant. However, the increased competition due to globalization, lead us to consider the alternative of making modifications to the layout more frequently to improve productivity. Changing the position of the equipment can be facilitated by specifying smaller mobile process equipment or by anticipating the availability of services at different points in the workshop and the existence of cranes or other means of transportation. These forecasts, logically, result in a greater investment in elements that, at least initially, do not generate any profit.
This work shows the evaluation of the feasibility of modifying the positions of the equipment when there are variations in the probability distribution in production speeds. This evaluation is carried out using decision trees and process simulation. The case study addressed consists of a generic production line with serial workstations. Jobs arrive at the first computer and join their product on hold if space is available, otherwise the job is lost. In the same way, the product on hold of the other teams are limited in size, and when a product on hold is full, the team behind stops until there is space available. Due to the use, the speeds of the equipment are changing with respect to the ones they had when new: the process times are increasing and / or becoming more variable. To improve productivity under the new process speeds, the space between the equipment can be modified, however, during this change, production must be suspended.
This work shows how, by simulating processes and decision trees, it is possible to determine the ranges of values ??of the suspension time and the cost of transport for which it is convenient to make changes in the spacing of the equipment.
Design of Potential SARS-CoV-2 Inhibitor
Authors: Amaku F. J. , Otuokere I. E. , Igwe K. K. , Ikpeazu O. V. 
Published: February 2022

This computational study comprises of pharmacophore-base virtual screening of the ZINC database, molecular docking of predicted ligands (pharmacophore agent) against the target protein, SARS-CoV-2 (PDB ID: 5r7y) and the prediction of ADMET descriptors using Swiss ADME and PROTOX-II online web servers. Meanwhile, remdesivir, ZINC72392503, ZINC72809903, ZINC06560017, ZINC76101700, ZINC88423098 and ZINC91600695 had a docking scores of -2.0 Kcal/mol, -6.7 Kcal/mol, -6.4 Kcal/mol, -6.0 Kcal/mol, -6.0 Kcal/mol, -6.0 Kcal/mol and-6.0 Kcal/mol respectively. Meanwhile, ZINC72392503 was selected as the lead molecule and was observed to interact with LUE 27, THR 25, CYS 145, THR 26, SER 46, GLY 143, ASN 142, HIS 163, HIS 41, MET 165, GLU 166, ARG 188, GLN 189, HIS 41, MET 49, SER 46 amino acids. The ADME descriptor revealed that the lead molecule was soluble, druggable, void of drug-drug interaction that may inhibit essential enzymatic reaction and was noticed to fall into PROTOX-II toxicity class 3. The lead molecule showed a good affinity for the target protein of SARS-CoV-2, hence, may have a physiological implication that can inhibit a protein responsible for the replication of SARS-CoV-2.
Rain–Induced Flood Prediction for Niger Delta Sub-Region of Nigeria Using Neural Networks
Authors: Kabari Ledisi Giok , Mazi Young Claudius 
Published: February 2022

Climate change generates so many direct and indirect effects on the environment. Some of those effects have serious consequences. Rain-induced flooding is one of the direct effects of climate change and its impact on the environment is usually devastating and worrisome. Floods are one of the most commonly occurring disasters and have caused significant damage to life, including agriculture and economy. They are usually caused in areas where there is excessive downpour and poor drainage systems. The study uses Feedforward Multilayer Neural Network to perform short-term prediction of the amount of rainfall flood for the Niger Delta sub region of Nigeria given previous rainfall data for a specified period of time. The data for training and testing of the Neural Network was sourced from Weather Underground official web site https://www.wunderground.com. An iterative Methodology was used and implemented in MATLAB. We adopted multi-layer Feedforward Neural Networks. The study accurately predicts the rain-induced flood for the Niger Delta sub region of Nigeria.
Effect of Sulfur Levels and Number of Cuttings on Characteristics and the Yield of Barley (Hordeum vulgaire L)
Authors: Al-Karkhi Ahmed Ali 
Published: February 2022

Objective: Barley Hordeum vulgaire L is an important grain crop, and is grown in large areas all over the world. The experiment aims to study the effect of different levels of fertilizer from agricultural sulfur (0, 1500, 3000, and 4500 kg) S / H, and the number of cuttings (without cut, one cut, and cut twice) on the yield and quality of green forage and grain yield for barley crop Iba 99.
Material and Methods: In this experiment, randomized whole section design was used in the arrangement of splinter panels - splinter with three replicates, sulfur levels for the secondary plates and the number of cuttings in the sub-plot plates.
Results: The addition of agricultural sulfur at the level (4500 kg S / H) resulted in a significant increase in the following characteristics: - plant height, number of tillers / m2, number of spikes / m2 and grain yield. Whereas the sulfur level (3000 kg S / E) resulted in a significant increase in the two green forage yields and the number of grains / spike when added and for the first and second seasons in succession.
Conclusion: Sulfur has significant effect on plant height and a significant effect of interference between sulfur levels and the number of leaves and number of tillers /m2, but it has no effect on the percentage of protein matter in green forage. The increase on sulfur has a significant effect on spike and gave the highest rate (509.4 spike / m2), and increase the protein level in grain to the highest rate 16.95.
Sudanese Oil Field Production Performance by Nodal Analysis Technique
Authors: Elbrir Fatima A. 
Published: February 2022

The study has evaluated production performance of oil well by using nodal analysis for entire production system. The goal of this study is to analysis one of the Sudanese oil field using nodal analysis and to review the field completion strategy for the respective field. The study starts by collecting the data from oil Company and takes the X Field as case study. The X field consist of 18 well and four of them were selected for theanalysis namely X NW-1, X NW-2, X NW-3 and X NW-4. Operating pressure for each well are 2409, 2455, 2550 and 2420 psia, and operating flow rate are 3925.4, 1110.4, 2255.7, and 1387.2 STB/D respectively. Wellfl modeling used for this task, which permits the production optimization of oil well using the concept of nodal analysis.
Several sensitivity analyses were conducted in order to get the production forecast. If assumed thatthe depletion in the pressure occur within 1 year, the pressure reduced to 2000 and 1000psia for each well; as can be seen, the production reduced rapidly inXNW-2 and XNW-4. However, 1000psia the production becomes zero for the four wells.
InPAs Alloys Use for Electrical Engineering in Hard-radiation Environment
Authors: Khutsishvili Elza , Kekelidze Nodar , Qamushadze Tengiz , Chubinashvili Zurab , Kobulashvili Nana , Kekelidze Georgy 
Published: February 2022

Effective functioning of electronics in high- radiation environment requires developing of novel semiconductor systems with radiation-tolerant properties. In given work, in search of semiconductor materials with immunity to radiation, investigations have been focused on InPxAs1-x alloys. Investigating of electrical and optical characteristics and physical processes, flowing in heavily irradiated InPxAs1-x alloys under high fluences of high-energy electrons and fast neutrons, let us create new generation of radiation-resistant semiconductor materials for electrical engineering application in hard-radiation environment.
Enhanced Fusion Mechanisms Towards Synthesizing Superheavy Elements
Authors: Bolivar Nelson Enrique , Vasilev Ivaylo T. 
Published: February 2022

In nature all of the heavy elements are produced by nuclear fusion reactions, mostly in supernova explosions and neutron star collisions, so, this is to date the only known and proven mechanism to produce heavy elements in usable quantities. In this work we approach a difficult challenge, namely, the possibility of fusion of heavy elements, taking as a test case the heaviest observationally stable element - ²³?U, showing that it is feasible, at least in principle with the help of existing technologies. The main idea behind is to show that fusion of lighter - than z=184 - nuclei is conceptually viable examining the tunnel effect assisted by an auxiliary field that will produce a Sauter like effect, and this is the pathway to explore the synthesis of elements higher than z=118. The production of theoretical untested elements like Unoctquadium-184 or close Z species could open a new chapter in the physics of super-heavy elements, and leads to a deeper understanding of nuclear decay channels and stability conditions. Nuclear fusion of heavy elements will open the breach to produce neutron rich elements, so we may obtain a deep insight into the physics of the island of stability. This work will review basic aspects of fusion physics related to the assisted fusion mechanism. An enhanced fusion perspective is found generalizing the work of [1] to space dependent fields and the cases of ²H, ¹??Pd and ²³?U are presented for several test fields. A final section reviewing laser confinement fusion actual experiments capable of achieving the required energies is also reported.