PURKH (E-Journals)
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Permutation Groups with Bounded Movement having Maximum Orbits
No full textLet G be a permutation group on a set with no fixed points in and let m be a positive integer.If no element of G moves any subset of by more than m points (that is, if
Nonlinear Vibration of Piezoelectric Nano Biological Sensor Based on Non-Classical Mathematical Approach
Get PDFIn this study, nonlinear vibration analysis of a parametrically excited piezoelectric nano beam subjected to DC and AC voltages is investigated for biological sensor applications on the basis of the non-local continuum theory. Equations of the motion and boundary conditions of the nano beam are obtained by implementation of Hamilton’s principle and the Galerkin approach. Hamiltonian solution namely Frequency-Amplitude approach is used for natural frequencies and mode shapes as a function of the piezo-layered nano beam characteristic non-local size scale parameter. The size effects on the vibration behavior (frequency and harmonic response) of the beam are studied and it is found that the non-local parameter has significant effects on the free vibration of system
The Norms Over Anti Fuzzy G-submodules
No full textIn this study, we define anti fuzzy-submodules with respect to investigate some of their algebraic properties. Later we introduce the union and direct sum of them and finally, we prove that the union, direct sum, homomorphic images and pre images of them are also anti fuzz
Invariant Solutions of Generalized Fisher-KPP Equation
Get PDFIn this paper, we consider a hyperbolic generalized Fisher-KPP equation: where , and are arbitrary smooth functions of variable and is a speed parameter. We find invariant solutions by Lie method. Also, we study standard and weak conditional and approximate symmetries
Various Bounds of Group of Autocentral Automorphisms
Get PDFIn this paper, we find various bounds for the group of all autocentral automorphisms of a finite group . We consider the cases, where the group of all autocentral automorphisms coincides with its upper bound, that is, the group of all central automorphisms and also where it coincides with its lower bound, that is, the group of all inner automorphisms
Earlier and Recent Results on Convex Mappings and Convex Optimization
Get PDFThe main purpose of this review-paper is to recall and partially prove earlier, as well as recent results on convex optimization, published by the author in the last decades. Examples are given along the article. Some of these results have been published recently. Most of theorems have a clear geometric meaning. Minimum norm elements are characterized in normed vector spaces framework. Distanced convex subsets and related parallel hyperplanes preserving the distance are also discussed. The convex involved objective-mappings are real valued or take values in an order-complete vector lattice. On the other side, an optimization problem related to Markov moment problem is solved in the end
Comparative Analysis of Prognostic Model for Risk Classification of Neonatal Jaundice using Machine Learning Algorithms
Get PDFThis study focused on the development of a prediction model using identified classification factors in order to classify the risk of jaundice in selected neonates. Historical dataset on the distribution of the classification of risk of jaundice among neonates was collected using questionnaires following the identification of associated classification factors of risk of jaundice from medical practitioners. The dataset containing information about the classification factors identified and collected from the neonates were used to formulate predictive model for the classification of risk of jaundice using 2 machine learning algorithm – Naïve Bayes’ classifier and the multi-layer perceptron.The predictive model development using the decision trees algorithm was formulated and simulated using the WEKA software.The predictive model developed using the multi-layer perceptron and Naïve Bayes’ classifier algorithms were compared in order to determine the algorithm with the best performance.The result shows that 10 variables were identified by the medical expert to be necessary in predicting jaundice in neonates for which a dataset containing information of 23 neonates alongside their respective jaundice diagnosis (Low, Moderate and High) was also provided with 22 attributes following the identification of the required variables.The 10-fold cross validation method was used to train the predictive model developed using the machine learning algorithms and the performance of the models evaluated The multi-layer perceptron algorithm proved to be an effective algorithm for predicting the diagnosis of jaundice in Nigerian neonate
Geographic Information Systems: A Survey
Get PDFAt its core GIS or Geographical Information System, is a mapping tool that allows various types of information to be linked to geolocation. With advances in Big Data technologies, the availability of a large and ever-increasing stream of geolocated data, the new services based on geolocation that are used by massive numbers of people especially on mobile devices, GIS systems are becoming fundamental and increasingly important to large numbers of individuals as well as businesses and industry. The purpose of this paper is to review the current state of the art of GIS technology and provide a summary view of its functionality and the major issues around its use. It is aimed to be readable by a wide readership familiar with computing technologies but not necessarily versed in GIS
A Framework For A Blood Seeker - Donor Matching System
Get PDFThe work designed, implemented and evaluated the blood seeker-donor (BSD) matching system. The system comprises of a backend server and a mobile application that serves as the main interaction interface between the users and the system. This is with the view to providing a computerized system that enables blood seekers and blood donation centers in the Nigerian geographic space to find and communicate with prospective blood donors, in a fast and efficient manner. The system connects the users using the blood type compatibility, relative location between the users, and other blood donation related attributes specified by the users. The backend service of the system was implemented using the Firebase platform. The mobile application was implemented using Java programming language on the Android platform. The results of the evaluation showed that; on a scale of 1 – 10, the system has a mean score of 7.02 for its effectiveness. The mean score for ease-of-use is 7.17 and the score for learnability is 7.39. The work concluded that geo-location technologies, through the use of mobile applications, can provide an easier, faster and efficient means of finding and communicating with prospective blood donors
Implementing and Evaluating the Performance Metrics Using Energy Consumption Protocols in Manets Using Multi-Path Routing- Fitness Function
Get PDFThe energy consumption plays a key role in Mobile Adhoc Networks in a day to day life. Mobile Ad Hoc Network (MANET) structure is a temporary network organized dynamically with a possible family of wireless mobiles independent of any extra infrastructural facilities and central administration requirements. Also, it provides solutions to overcome the minimal energy consumption issues. Nodes are battery operated temporarily does not operate on permanent batteries, so energy consumed by a battery depends on the lifetime of the battery, and its energy utilization dynamically decreases as the nodes change their position in MANETs. Multi-path routing algorithm in MANETs provides the best optimal; the solution to transmit the information in multiple paths to minimize the end to end delay, increases energy efficiency, and moderately enhances the life time of a network. The research mainly focused on minimum energy consumption techniques in MANET is of a great challenge in industries. In this paper, the author highlights a novel algorithmic approach Adhoc on Demand Multipath Distance Vector (AOMDV) routing protocol that increases the energy efficiency in MANET by incorporating the demand multipath distance and fitness function. The Adhoc on Demand Multipath Distance Vector-Fitness Function (AOMDV-FF) routing protocol short out minimum distance path that consumes minimum energy and the simulation performance is evaluated using network simulator-2 (NS2) tool. Two protocols are proposed in this work AOMDV and AOMDV-FF and compared some of the performance parameters like energy efficiency, network life time and routing overhead in terms of data transfer rate, data packet size and simulation time, etc. The overall simulation results of the proposed AOMDV-FF method is to be considered as a network with 49 nodesand the network performance factor-end to end delay 14.4358msec, energy consumption 18.3673 joules, packet delivery ratio 0.9911 and routing overhead ratio 4.68 are evaluated. The results show an enriched performance as compared to AOMDV and AOMR-LM methods