Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Stability (21)
- Convex functions (19)
- Genetic algorithm (18)
- Fixed point (16)
- Classification (13)
-
- Optimization (13)
- Clustering (11)
- Convergence (11)
- Data mining (11)
- Simulation (11)
- Authentication (10)
- Cloud computing (10)
- Magnetic field (10)
- Maximum likelihood estimation (10)
- Optimal control (10)
- Cloud Computing (9)
- Prediction (9)
- Soft set (9)
- Chaos (8)
- Fractional calculus (8)
- Genetic Algorithm (8)
- Initial value problems (8)
- Moments (8)
- Multistep (8)
- Particle swarm optimization (8)
- Security (8)
- Symmetric (8)
- Time delay (8)
- Variational inequalities (8)
- Wireless sensor networks (8)
Articles 841 - 870 of 2320
Full-Text Articles in Entire DC Network
A Result For The Formal Local Cohomology Module And Vanishing Results, Carlos Henrique Tognon
A Result For The Formal Local Cohomology Module And Vanishing Results, Carlos Henrique Tognon
Applied Mathematics & Information Sciences
In this paper, is discuted and studied about the formal local cohomology module. Also is put its connection with the local cohomology module and moreover is put some vanishing results for such module of formal local cohomology.
Unification And Generalization Of Two Product Theorems Of Srinivasa Ramanujan Associated With Quadruple Hypergeometric Functions, Mohammad Idris Qureshi, Mohd Shadab
Unification And Generalization Of Two Product Theorems Of Srinivasa Ramanujan Associated With Quadruple Hypergeometric Functions, Mohammad Idris Qureshi, Mohd Shadab
Applied Mathematics & Information Sciences
The object of the present paper is to show that Ramanujan’s two reduction formulas [Entries 24 and 22 in chapter 13 of Ramanujan’s first notebook,see also Entries 18 and 16 in chapter 11 of Ramanujan’s second notebook] for the products of two hypergeometric functions, can be unified and generalized for general quadruple Gaussian hypergeometric functions of Srivastava, Pathan and Saigo, using series rearrangement technique.Using the theory of bounded multiple sequences, further generalizations of two product theorems of Srinivasa Ramanujan, are also given.
Certain Subordination-Preserving Family Of Integral Operators Associated With P-Valent Functions, H. M. Srivastava, M. K. Aouf, A. O. Mostafa, H. M. Zayed
Certain Subordination-Preserving Family Of Integral Operators Associated With P-Valent Functions, H. M. Srivastava, M. K. Aouf, A. O. Mostafa, H. M. Zayed
Applied Mathematics & Information Sciences
In this paper, we obtain a number of subordination, superordination and sandwich-type results related to a certain family of integral operators defined on the space of p-valent functions in the open unit disk. Applications of these subordination and superordination theorems to the familiar Gauss hypergeometric function are also considered. The results derived in this paper are shown to generalize several known subordination, superordination and sandwich-type theorems.
Approaching An Overdamped System As A Quadratic Eigenvalue Problem, Maria Antonia Forjaz, Antonio Mario Almeida, Luıs M. Fernandes, Jorge Pamplona, T. De Lacerda–Aroso
Approaching An Overdamped System As A Quadratic Eigenvalue Problem, Maria Antonia Forjaz, Antonio Mario Almeida, Luıs M. Fernandes, Jorge Pamplona, T. De Lacerda–Aroso
Applied Mathematics & Information Sciences
In viscous material systems, time and stress dependent instabilities often occur. The evolution of visco-elastic systems under external stress has already been modeled by applying a matricial dynamics equation comprehending elasticity and viscosity matrices. In this study we report a novel formulation for such kind of systems in an overdamped regime as a nonlinear quadratic eigenvalue problem. The results presented were obtained after solving the eigenvalue equation of several sets of discrete damped mass-spring systems.
On Some New Generalized Hermite-Hadamard-Fejer Inequalities For Product Of Two Operator H− Convex Functions, Miguel Vivas Cortez, Jorge E. Hernandez H.
On Some New Generalized Hermite-Hadamard-Fejer Inequalities For Product Of Two Operator H− Convex Functions, Miguel Vivas Cortez, Jorge E. Hernandez H.
Applied Mathematics & Information Sciences
In the present paper we introduce the notion of operator h-convex function . Also, we obtain new Jensen and HermiteHadamard inequalities for these operator h-convex functions in Hilbert spaces.
An Adjustable Reduction Approach Of Interval-Valued Intuitionistic Fuzzy Soft Sets For Decision Making, Hongwu Qin, Ahmad Shukrimohd Noor, Xiuqin Ma, Haruna Chiroma, Tutut Herawan
An Adjustable Reduction Approach Of Interval-Valued Intuitionistic Fuzzy Soft Sets For Decision Making, Hongwu Qin, Ahmad Shukrimohd Noor, Xiuqin Ma, Haruna Chiroma, Tutut Herawan
Applied Mathematics & Information Sciences
Parameter reduction methods have been adopted by many scientific communities since it provides the basic concept for removing irrelevant features and subset of parameters that provides the same descriptive or decisionability as the entire set of parameters. Several reduction approaches have been proposed for fuzzy-soft set in making decision of datasets with fuzzy-soft values.However, existing fuzzy soft set reduction approaches suffer to handle interval-valued intuitionistic fuzzy soft datasets. To overcome this issue, we introduce an adjustable reduction approach of interval-valued intuitionistic fuzzy soft sets (AR-IIFSS) for decision making. The novelty of APR-IIFSS is that we generalize the existing approaches on …
Transient Analysis Of Markovian Queueing System With Balking And Reneging Subject To Catastrophes And Server Failures, Mansour F. Yassen, A. M. K. Tarabia
Transient Analysis Of Markovian Queueing System With Balking And Reneging Subject To Catastrophes And Server Failures, Mansour F. Yassen, A. M. K. Tarabia
Applied Mathematics & Information Sciences
In this paper, we present an analysis of the transient and steady states of the infinite Markovian queueing system where both reneging and balking are defined and the system may be entered under catastrophes and server failures repair. Moreover, some other special cases are shown as special case of our new result.
Mathematical Modelling Of An Avian Influenza: Optimal Control Study For Intervention Strategies, Chairat Modnak
Mathematical Modelling Of An Avian Influenza: Optimal Control Study For Intervention Strategies, Chairat Modnak
Applied Mathematics & Information Sciences
Avian influenza, caused by influenza A viruses, has drawn attention from scientists worldwide to study its epidemic dynamics. In this paper, we study the spread of bird flu or avian influenza and optimal control theory for intervention strategies from SIR-based model. In addition, we divide human population into five states; Susceptible (S), Vaccinated (V), Exposed (E), Infective (I) and Recovered (R). Equilibrium analysis to investigate the dynamics of the model is carefully derived. We further study the optimal control to seek cost effective for control and treatment strategies. Numerical results show that strategically deployed vaccination and medical treatment can significantly …
Establishing Wmelpop Wolbachia Infection Among Wild Aedes Aegypti Females By Optimal Control Approach, Doris E. Campo-Duarte, Daiver Cardona-Salgado, Olga Vasilieva
Establishing Wmelpop Wolbachia Infection Among Wild Aedes Aegypti Females By Optimal Control Approach, Doris E. Campo-Duarte, Daiver Cardona-Salgado, Olga Vasilieva
Applied Mathematics & Information Sciences
Wolbachia is a maternally transmitted bacterial symbiont which is known to reduce the vector competence of mosquitoes and other arthropod species. Therefore, Wolbachia-based biocontrol is regarded as a practicable method for prevention and control of dengue and other arboviral infections. In particular, a deliberate infection of Aedes aegypti females with wMelPop Wolbachia strain makes them almost incapable of transmitting dengue and other arboviruses. In this paper, we present and thoroughly analyze a population dynamics model of interaction between wild Aedes aegypti female mosquitoes and those infected with wMelPop Wolbachia strain, which compete for the same vital resources (food, breeding sites, …
Some Inequalities Of Jensen Type And Lazhar Type For The Class Of Harmonically And Strongly Reciprocally Convex Functions, L. Azocar, M. Bracamonte, J. Medina
Some Inequalities Of Jensen Type And Lazhar Type For The Class Of Harmonically And Strongly Reciprocally Convex Functions, L. Azocar, M. Bracamonte, J. Medina
Applied Mathematics & Information Sciences
In recent years, new classes of convex functions have been introduced in order to generalize the results and to obtain new estimations, in [12], Iscan gave the definition of harmonically convex functions and in [2] Bracamonte et al. extended the concept of harmonically convex functions due to Iscan, and obtained the concept of strongly reciprocally convex functions. We give some inequalities of Jensen type and Lazhar type for the class of harmonically and strongly reciprocally convex functions.
Modelling Reliability Data With Finite Weibull Or Lognormal Mixture Distributions, Emad E. Elmahdy
Modelling Reliability Data With Finite Weibull Or Lognormal Mixture Distributions, Emad E. Elmahdy
Applied Mathematics & Information Sciences
This paper presents a reliability analysis study of lifetime data based on Weibull and Lognormal distributions models. The main aim of this study is to compare two finite mixture distributions, Weibull mixture distribution (WMD) and Lognormal mixture distribution (LMD) for modelling heterogeneous survival data sets. This paper also provides the characterization of both WMD and LMD. A comparison of fitted cumulative distribution functions, probability density functions, hazard functions, reliability functions and the mean lifetime is obtained for different distribution models. The expectation-maximization (EM) and Levenberg-Marquardt algorithms are used for estimating the parameters of these mixture models. The goodness of fit …
Resource-Based Optimization Model For Dynamic Project Planning And Cost Management, Minren Yan
Resource-Based Optimization Model For Dynamic Project Planning And Cost Management, Minren Yan
Applied Mathematics & Information Sciences
A global trend in adopting projects as production functions is prevalent in many industries. Project management professionals have become an important domain and many operational research models were developed for supporting project planning work such as project scheduling and budgeting. In practices, however, frequent work disruptions in the course of project execution can significantly induce waste in resources and relevant costs. The situation becomes one of the most difficult for production economics and few models have been specifically developed to support project cost management under disrupted work conditions. To encompass green and commercial objectives, this research proposes a genetic algorithm …
Magnetohydrodynamic Peristaltic Flow Of Jeffry Nanofluid With Heat Transfer Through A Porous Medium In A Vertical Tube, Nabil T. M. El-Dabe, Mohamed Y. Abou-Zeid, Yasmeen M. Younis
Magnetohydrodynamic Peristaltic Flow Of Jeffry Nanofluid With Heat Transfer Through A Porous Medium In A Vertical Tube, Nabil T. M. El-Dabe, Mohamed Y. Abou-Zeid, Yasmeen M. Younis
Applied Mathematics & Information Sciences
The present paper deals with the peristaltic motion of a non-Newtonian nanofluid with heat transfer through a porous medium inside a vertical tube. The system is stressed by a uniform magnetic field. The viscous dissipation, internal heat generation with radiation effects are considered. A Rung-Kutta-Merson method and a Newton iteration in a shooting and matching technique are used to find the solutions of the momentum, temperature and nanoparticles equations. The numerical formula of the axial velocity, temperature and nanoparticles are obtained as functions of the physical parameters of the problem. Numerical calculations are carried out for these formula. The effects …
Generalisation Of Implication-Based Fuzzy Semiautomaton Over A Finite Group, M. Selva Rathi, J. Michael Anna Spinneli
Generalisation Of Implication-Based Fuzzy Semiautomaton Over A Finite Group, M. Selva Rathi, J. Michael Anna Spinneli
Applied Mathematics & Information Sciences
We have defined the concept of implication-based T-fuzzy semiautomaton (IB-T-FSA) over a finite group. The ideas of an implication-based T-fuzzy kernel and implication-based T-fuzzy subsemiautomaton of an IB-T-FSA over a finite group are introduced using the notion of implication-based T-fuzzy subgroup and implication-based T-fuzzy normal subgroup. The necessary and sufficient condition for an implication-based T-fuzzy normal subgroup to be an implication-based T-fuzzy kernel as well as the necessary and sufficient condition for an implication-based T-fuzzy subgroup to be an implication-based T-fuzzy subsemiautomaton of an IB-T-FSA are proved in this paper
Design And Mathematical Evaluation Of A New Multilevel Inverter Topology With Less Circuit Components For Solar And Wind Energy Conversion Systems, Prem P., Bharanikumar R.
Design And Mathematical Evaluation Of A New Multilevel Inverter Topology With Less Circuit Components For Solar And Wind Energy Conversion Systems, Prem P., Bharanikumar R.
Applied Mathematics & Information Sciences
Multi level inverters are capable of synthesizing a near sinusoidal voltage at its terminals from multiple dc sources. The quality of synthesized output waveform depends on the parameters like number of voltage sources/capacitors, components employed in the inverter and modulation technique used to control the inverter. In this paper a multilevel inverter topology with reduced switch count has been designed. It can be used for interfacing wind and solar energy conversion systems to conventional grid. The topology has been mathematically evaluated against the similar topologies in the literature in the aspects of number of IGBTS required, driver circuits required and …
An Ensembled Classifier For Email Spam Classification In Hadoop Environment, D. Karthika Renuka, P. Visalakshi, Sp. Rajamohana
An Ensembled Classifier For Email Spam Classification In Hadoop Environment, D. Karthika Renuka, P. Visalakshi, Sp. Rajamohana
Applied Mathematics & Information Sciences
Email is one of the most ubiquitous and pervasive application used on a daily basis by millions of people worldwide. Email spam is a serious worldwide problem which causes problems for almost all computer users. Nowadays, e-mail becomes a powerful tool for communication as it saves a lot of time and cost. But, due to social networks and advertisers, most of the e-mails contain unwanted information called spam. Spam is the unwanted and unsolicited commercial e-mail. It is also known as junk e-mail. This issue not only affects normal users of the internet, but also causes a huge problem for …
On Estimation In The Exponentiated Pareto Distribution In The Presence Of Outliers, M. Jabbari Nooghabi
On Estimation In The Exponentiated Pareto Distribution In The Presence Of Outliers, M. Jabbari Nooghabi
Applied Mathematics & Information Sciences
The maximum likelihood and moment estimations of the probability density function (pdf) and cumulative distribution function (cdf) are derived for the Exponentiated Pareto distribution in the presence of outliers. Also, we calculate the mixture method of ML and moment estimators. It has been shown that this mixture method is better than the others. Further, we have given an actual data from an insurance company.
Performance And Analysis Stable Operation In Hybrid Wind And Fuel Cell Based Distributed Generation System With Facts Controller, D. Ilankumaran, S. Latha
Performance And Analysis Stable Operation In Hybrid Wind And Fuel Cell Based Distributed Generation System With Facts Controller, D. Ilankumaran, S. Latha
Applied Mathematics & Information Sciences
This paper proposes a steady operation of hybrid distributed generation (DG) system composed of dual renewable energy sources, a wind turbine (WT) and a fuel cell with the Flexible AC Transmission System (FACTS) controller. Recently more number of small scale renewable energy sources such as (WT) are connected to the national grid and the number counts on. However maintaining stable operation has become a challenge because of the practical difficulties in mitigating, harmonics, managing reactive power and balancing the unbalanced load are concerned. The proposed system uses a FACTS controller, specifically the Unified Power Quality Conditioner (UPQC) with Neural Network …
Performance Analysis Of Ibpso And Bfpa Based Feature Selection Techniques For Improving Classification Accuracy In Review Spam Detection, Sp. Rajamohana, K. Umamaheswari, B. Abirami
Performance Analysis Of Ibpso And Bfpa Based Feature Selection Techniques For Improving Classification Accuracy In Review Spam Detection, Sp. Rajamohana, K. Umamaheswari, B. Abirami
Applied Mathematics & Information Sciences
Objectives: Feature Selection is a important technique to reduce the quantity of features in various application domains where the data set includes thousands of features in it. The main objective of this study is to choose BFPA for feature selection to obtain better fitness function. Methods/Statistical Analysis: Improved Binary Particle Swarm Optimization (iBPSO) approach is used for selecting the subset from the dataset and providing the better fitness values. Here, iBPSO used to obtain the feature subset and its performance is compared with BFPA. Na¨ıve Bayes classifier is used to improve the classification accuracy. Findings:The experimental results shows that BFPA …
Detecting And Denying Malicious Behavior Using Adaptive Learning Based Routing Protocol In Wireless Mesh Network, R. Regan, J. Martin Leo Manickam
Detecting And Denying Malicious Behavior Using Adaptive Learning Based Routing Protocol In Wireless Mesh Network, R. Regan, J. Martin Leo Manickam
Applied Mathematics & Information Sciences
Wireless Mesh Network (WMN) is a self organization and self configuration network which provides fast internets based on hybrid network. WMN consists of mesh nodes and mesh routers which provide security to sufficiently analyze the location but its performance is degraded when it comes to its overhead. WMN provides different security solutions at different levels of its layers. Each and every layer encounters attacks by the malicious behavior program which is due to the presence of its layers. So, in this paper, we propose a new framework solution against wormhole attacks based on adaptive learning technique, which provides mesh node …
Improved Pattern Matching Algorithm, Deep Suman Dev, Dakshina Ranjan Kisku
Improved Pattern Matching Algorithm, Deep Suman Dev, Dakshina Ranjan Kisku
Applied Mathematics & Information Sciences
Pattern matching problem aims to search the most similar pattern or object by matching to an instance of that pattern in a scene image. In order to address the issue of finding an object in the target image efficiently, the most distinctive features are computed from the query pattern and need to be searched in the scene image. The scene image is logically divided into a number of candidate windows which are then to be matched with the query pattern. Due to repeated matching of the query pattern with local candidate windows, the pattern matching process requires a large amount …
Dynamics Of Diseased Prey Predator Model With Nonlinear Feedback Control, V. Madhusudanan, B. R.Tapas Bapu
Dynamics Of Diseased Prey Predator Model With Nonlinear Feedback Control, V. Madhusudanan, B. R.Tapas Bapu
Applied Mathematics & Information Sciences
In this paper we investigate the dynamics of diseased prey- predator system with nonlinear feedback. A nonlinear feedback mathematical model is proposed and analyzed to study the predator interaction with infected prey. We showed that the continuous time diseased prey-predator system can be asymptotically stabilized using nonlinear feedback control. By constructing Lyapunov function, global asymptotic stability is established. Also we obtained necessary control law for asymptotic stability of this system. Finally, a numerical simulation supports our analytical findings
Mining Maximal Cliques Through An Intuitionistic Fuzzy Graph, S. Venkatesh, S. Sujatha
Mining Maximal Cliques Through An Intuitionistic Fuzzy Graph, S. Venkatesh, S. Sujatha
Applied Mathematics & Information Sciences
This paper deals with an inspiring and real-world problem of mining maximal cliques in an intuitionistic fuzzy graph G where the edges are weighted by the degrees of membership together with non-membership values. By using fuzzy cuts ( α , β ) such that 0 ≤ αβ ≤ 1, a modified concept of C αβ maximal clique is proposed in an intuitionistic fuzzy graph. To find C αβ maximal cliques in an intuitionistic fuzzy graph, we present an effective mining algorithm based on this C αβ is introduced.
Delay Optimized Novel Architecture Of Fir Filter Using Clustered-Retimed Mac Unit Cell For Dsp Applications, S. Subathradevi, C. Vennila
Delay Optimized Novel Architecture Of Fir Filter Using Clustered-Retimed Mac Unit Cell For Dsp Applications, S. Subathradevi, C. Vennila
Applied Mathematics & Information Sciences
In VLSI based system design; optimum design is preferred in terms of area, delay and power. In the era of miniaturization the speed is the most important parameter in VLSI design. To achieve greater speed the designer must concentrate on reduction in delay. Generally the total delay consists of logic delay and path delay. For achieving delay optimization either path delay or logic delay can be modified. By re-arranging the architecture such that to modify interconnects, the delay can be reduced in the design of the system and speed can be comparatively increased. In this work, the authors propose a …
Robust Gait-Based Gender Classification For Video Surveillance Applications, C. Kalaiselvan, A. Sivanantha Raja
Robust Gait-Based Gender Classification For Video Surveillance Applications, C. Kalaiselvan, A. Sivanantha Raja
Applied Mathematics & Information Sciences
In the paper, the main objective is to develop a gait-based gender classification in video surveillance applications that can run in real time. The Most important contribution of this work is a new fast feature extraction strategy that uses the 2D point cloud obtained from the frames in a gait cycle. For each frame, these points are aligned according to their centroid and arranged into groups. After that, they are projected into their PCA plane, obtaining a representation of the cycle particularly robust against view changes. By analysing the discriminatory capability of different body components, it is observed that hair, …
Mathematical Model For Problem Of Stresses In Thermomagneto-Piezoelectric Material, S. R. Mahmoud, Shafeek. A. Ghaleb, A. K. Alzahrani, E. Ghandourah
Mathematical Model For Problem Of Stresses In Thermomagneto-Piezoelectric Material, S. R. Mahmoud, Shafeek. A. Ghaleb, A. K. Alzahrani, E. Ghandourah
Applied Mathematics & Information Sciences
In this paper, an analytical solution for the stresses in a homogeneous, transversely isotropic, piezo-thermo-elastic material has investigated. The generalized theories of thermo-elasticity have used to investigate the problem. The surface subjected to thermally insulated or isothermal and electrically shorted boundary conditions. Finally, in order to illustrate the analytical development, numerical solution has carried out piezo - thermo-elastic material. The corresponding simulated results of various physical quantities such as displacements and stresses have presented graphically.
On Bornological Semi Rings, A. N. Imran, I. S. Rakhimov
On Bornological Semi Rings, A. N. Imran, I. S. Rakhimov
Applied Mathematics & Information Sciences
Our main focus in this work is to generalize the theory of algebraic semi rings from the algebraic setting to the framework of bornological sets. More specifically, the concept of a new structure bornological semi ring (BSR) is introduced and some constructions in the class of bornological semi rings are discussed. In particular, the existence of arbitrary projective limits and arbitrary inductive limits of bornological semi rings is ensured. Additionally, the description of the category of bornological semi rings is presented. We also discuss the concept of product, coproduct and fibre product in the category of bornological semi ring. In …
Some Simple Conditions For Univalence, Mamoru Nunokawa, Janusz Sokoł
Some Simple Conditions For Univalence, Mamoru Nunokawa, Janusz Sokoł
Applied Mathematics & Information Sciences
The aim of this paper is to determine the sufficient conditions for function f(z) = z+a2z2 +... to be starlike of order 1/2 which shows also the convexity of f(z).
Malaysia Road Accidents Influences Based On Structural Time Series Analysis, Noor Wahida Md Junus, Mohd Tahir Ismail, Zainudin Arsad, Rosmanjawati Abdul Rahman
Malaysia Road Accidents Influences Based On Structural Time Series Analysis, Noor Wahida Md Junus, Mohd Tahir Ismail, Zainudin Arsad, Rosmanjawati Abdul Rahman
Applied Mathematics & Information Sciences
Traffic accidents are very common and it is such a trauma to all the road users. Decreasing the rate of road accidents is an important issue in developing countries including Malaysia. The aim of this study is to investigate the contributing factors of road accidents as well as to determine the effectiveness of structural time series in predicting Malaysian road accidents. This study applied structural time series approach as this method offers the possibilities of modeling time series component in terms of stochastic processes. The estimation process in this study was implemented by using Kalman filter approach. The factors that …
A Novel Iterative Numerical Algorithm For The Solutions Of Systems Of Fuzzy Initial Value Problems, Omar Abu Arqub, Shaher Momani, Saleh Al-Mezel, Marwan Kutbi
A Novel Iterative Numerical Algorithm For The Solutions Of Systems Of Fuzzy Initial Value Problems, Omar Abu Arqub, Shaher Momani, Saleh Al-Mezel, Marwan Kutbi
Applied Mathematics & Information Sciences
Behaviors of many dynamic systems with uncertainty can be modelled effectively by systems of fuzzy differential equations. In this paper, we develop new numerical iterative method for solving systems of fuzzy initial value problems based on the reproducing kernel theory under the assumption of Hukuhara differentiability. The exact and approximate solutions are given with series form in terms of their parametric form, where two smooth reproducing kernel functions are used throughout the evolution of the algorithm to obtain the required nodal values. Furthermore, error estimation is proved in order to capture the behavior of fuzzy solutions. Applicability, potentiality, and efficiency …