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Stability Analysis Of A Waterborne Infectious Disease Model With Infectious Saturation Effect On Bacterial Disease Transmission, Cemil Bu ̈Yu ̈Kadalı
Stability Analysis Of A Waterborne Infectious Disease Model With Infectious Saturation Effect On Bacterial Disease Transmission, Cemil Bu ̈Yu ̈Kadalı
Applied Mathematics & Information Sciences
This paper considers a waterborne infectious disease model with infectious saturation effect on bacterial disease transmission. For this model we find sufficient conditions for global stability of disease free equilibrium. We verify the result using appropriate numerical simulations.
On Construction And Performance Evaluation Of (4096, 815, 3162) Hermitian Code, Richard Adusei, Mohammed Muniru Iddrisu
On Construction And Performance Evaluation Of (4096, 815, 3162) Hermitian Code, Richard Adusei, Mohammed Muniru Iddrisu
Applied Mathematics & Information Sciences
Algebraic Geometry is a branch of mathematics applied in so many disciplines including Coding Theory. This paper focuses on the construction, performance evaluation and practical implementation of encoding and decoding processes of codes constructed from Hermitian Curves. These codes also known as Hermitian codes are types of Algebraic Geometric codes. In this work, performance of the code is done by simulating the (4096, 815, 3162) hermitian code constructed from a hermitian curve using techniques from algebraic geometry with a (255,153,103) Reed-Solomon code from the same $GF(256)$ . The decoding process uses Berlekamp-Massay-Sakata (BMS) algorithm, Majority Voting and Forney algorithm. The …
Isomorphism Theorem For Neutrosophic Submodules, R. Binu, P. Isaac
Isomorphism Theorem For Neutrosophic Submodules, R. Binu, P. Isaac
Applied Mathematics & Information Sciences
In this paper, we investigate some new features of neutrosophic submodules and their properties. The neutrosophic quotient module and restriction of a neutrosophic submodule to a submodule of R-module are defined. The three fundamental theorems of module isomorphism are extended to isomorphism of neutrosophic submodules.
An Improved Trust And Certificate Aided Secure Communication (Tcasc) Scheme For Cluster-Based Vanet, P. S. Abi, M. Devi, V. Rhymend Uthariaraj
An Improved Trust And Certificate Aided Secure Communication (Tcasc) Scheme For Cluster-Based Vanet, P. S. Abi, M. Devi, V. Rhymend Uthariaraj
Applied Mathematics & Information Sciences
VANET helps in preventing critical circumstances like traffic congestion, unobserved interferences, and accidents. VANET security is vital as their presence relates to dangerous, life-threatening conditions. To certify secure communication between vehicles in VANET, each message should be secured and checked continuously. However, current works are unable to notice the node compromise and message dropping attacks. Furthermore, they encompass a vast communication overhead. Hence the core objective of this research work is to develop a guaranteed communication scheme for VANET, which precisely detects compromised nodes with low-complexity, interruption, and overhead. In this paper, a Trust and Certificate Aided Secure Communication (TCASC) …
Certain Mathematical Investigations On Prenatal Down Syndrome Detection Using Anfis Classification Approach, S. Saranya, S. Sudha
Certain Mathematical Investigations On Prenatal Down Syndrome Detection Using Anfis Classification Approach, S. Saranya, S. Sudha
Applied Mathematics & Information Sciences
The genetic disorder of foetus leads to the formation of Down Syndrome (DS) which can be screened manually by screening the first and second trimester ultra sonogram images. This can be fully automated with the help of computer-aided approaches proposed in this paper. The DS can be screened by enhancing the foetus image using Adaptive histogram equalization technique. Then, Gabor multi resolution transform is applied on the enhanced foetus image in order to convert the spatial domain foetus image into multi resolution foetus image. The features as Effective Binary Pattern (EBP), Grey Level Occurrence Matrix (GLCM) and Local Derivative Pattern …
A Novel Approach To Find Optimal Parameter In The Homotopy-Regularization Method For Solving Integral Equations, Samad Noeiaghdam, Mohammad Ali Fariborzi Araghi
A Novel Approach To Find Optimal Parameter In The Homotopy-Regularization Method For Solving Integral Equations, Samad Noeiaghdam, Mohammad Ali Fariborzi Araghi
Applied Mathematics & Information Sciences
The regularization method is one of the important schemes to solve the ill-posed problems. In this work, by combining the Wazwaz’s regularization method and the homotopy analysis method, a new and robust approach is presented to solve integral equations which is called the homotopy-regularization method. The solution which is produced by the homotopy-regularization method depends on the regularization parameter. In order to find the optimal value of this parameter, the Controle et Estimation Stochastique des Arrondis de Calculs method is applied which is based on the stochastic arithmetic. A theorem is presented to show the accuracy of the proposed approach. …
A Novel Search Algorithm For A Multi Searchers Random Walk, W. A. Afifi, Abd Al-Aziz Hosni El-Bagoury, Sundus Naji Alaziz
A Novel Search Algorithm For A Multi Searchers Random Walk, W. A. Afifi, Abd Al-Aziz Hosni El-Bagoury, Sundus Naji Alaziz
Applied Mathematics & Information Sciences
A lost target is a random walker on one of n disjoint lines, and the purpose is to detect the target as fast as possible. On each line there are two searchers starting the search from the origin of their line, where they follow the so called coordinate search. One common measure of effectiveness for the search process is the expected time of search. This type of search has been addressed and solved in the literature for the case where the target is located. In this paper, we introduce a new model of search and prove that the expected value …
Higher-Order Strongly-Generalized Convex Functions, Muhammad Aslam Noor, Khalida Inayat Noor
Higher-Order Strongly-Generalized Convex Functions, Muhammad Aslam Noor, Khalida Inayat Noor
Applied Mathematics & Information Sciences
In this paper, we define and introduce some new concepts of the higher order strongly-generalized convex functions involving an arbitrary function. Some properties of the higher order strongly-generalized convex functions are investigated under suitable conditions. We have proved that the optimality conditions of higher order strongly generalized can be characterized by a class of variational inequalities, which is called higher-order strongly variational inequality. It is shown that the parallelogram laws for Banach spaces can be obtained as applications of higher-order strongly-generalized affine convex functions. Results obtained in this paper can be viewed as refinement and improvement of previously-known results.
An Accurate Analytical Solution To Strongly Nonlinear Differential Equations, G. M. Ismail, M. Abul-Ez, N. M. Farea
An Accurate Analytical Solution To Strongly Nonlinear Differential Equations, G. M. Ismail, M. Abul-Ez, N. M. Farea
Applied Mathematics & Information Sciences
The study presents an alternative analytical method called Newton Harmonic Balance Method (NHBM) to provide an analytical solution for two nonlinear differential equations that appear in specific dynamics. This method is based on combining Newton’s method and the harmonic balance method. Because the periodic solution is analytically proved, the relation between the natural frequency and the amplitude is obtained in an analytical form. The study compares the present results with the previous ones obtained by other methods to ensure the quality of the NHBM. Comparisons with Runge-Kutta numerical integration solutions are also made and excellent agreement has been observed. The …
Newton’S P-Difference Interpolation Formula For Interval- Valued Function, Md Sadikur Rahman, Md Akhtar, Ali Akbar Shaikh, Asoke Kumar Bhunia
Newton’S P-Difference Interpolation Formula For Interval- Valued Function, Md Sadikur Rahman, Md Akhtar, Ali Akbar Shaikh, Asoke Kumar Bhunia
Applied Mathematics & Information Sciences
Interpolation formula is an important concept in the theory of numerical analysis which is grown up based on interpolation. So, to study the interpolation in interval environment, interval interpolation formulae are more essential. The objective of this article is to establish extended Newton’s interpolation formulae for interval-valued functions using p- difference of intervals. For this purpose, parametric representation of intervals with interval arithmetic in the parametric form and parametric representation of interval-valued function have been discussed briefly. Using p-difference of intervals, finite differences (forward/backward) of interval-valued function have been defined and called them as Newton’s p-difference (forward/backward) operators. After that …
An Efficient Algorithm For Mining Frequent Itemsets In Large Databases, B. Praveen Kumar, D. Paulraj
An Efficient Algorithm For Mining Frequent Itemsets In Large Databases, B. Praveen Kumar, D. Paulraj
Applied Mathematics & Information Sciences
Flexible Bitmap Index and Cluster based Bit Vector (FBICBV), focus on identifying the eligible candidates from unfiltered huge volume of temporal data in order to find out frequent patterns among them. One of the best and efficient solutions is to use the mechanism of bitmap indexing and clustering. First, using bitmap index, the rich data are filtered out from the unfiltered raw dataset to be analyzed effectively. Thus, the eligible candidate data are identified through this process. Second, the frequent patterns are identified using cluster based bit vector appropriate for effective decision making. Hence, scanning of raw data is completely …
Investigation On Retinal Fundus Images For Detection Of Diabetic Retinopathy And Classification Using Anfis, R. Jayanthi, K. Bommannaraja
Investigation On Retinal Fundus Images For Detection Of Diabetic Retinopathy And Classification Using Anfis, R. Jayanthi, K. Bommannaraja
Applied Mathematics & Information Sciences
In this paper, a novel method is developed to establish a framework for Investigation on Retinal Fundus Images for Detection of Diabetic Retinopathy and Classification. The preprocessing is done through green-channel enhancement followed by top-hat filtering method to enhance image details for subsequent segmentation and feature extraction. The extracted features are used to train the database images using Artificial Neuro Fuzzy Interference System. The optic disc and the blood vessels are found using a supervised segmentation algorithm, damaged area and hard and soft exudates using Kirsch operator to extract the features for the classification of healthy and abnormal images of …
Adaptive Learning And Game Theory Based Cognitive Radio Networks, P. Arivazhagi, P. Karthigaikumar
Adaptive Learning And Game Theory Based Cognitive Radio Networks, P. Arivazhagi, P. Karthigaikumar
Applied Mathematics & Information Sciences
In this paper, we propose the optimized adaptive spectrum sensing method employing Game Theory Model for Cognitive Radio Networks. In the game theory model, the secondary user (SU) decide the sensing technique applicable relative to the utility function. Prior to this, SU estimates the SNR (Signal-to-Noise Ratio) of each channel and thus forms the utility function in terms instead of energy and throughput. Then the sensing method is adaptively determined on the basis of the SNR value. At low SNR values, the one-order cyclostationary detection technique is applied whereas at high SNR values, the energy detector is used. The decision …
Key Exchange Techniques Based On Secured Energy Efficiency In Mobile Cloud Computing, B. Karthikeyan, T. Sasikala, S. Baghavathi Priya
Key Exchange Techniques Based On Secured Energy Efficiency In Mobile Cloud Computing, B. Karthikeyan, T. Sasikala, S. Baghavathi Priya
Applied Mathematics & Information Sciences
In this paper, we propose a novel offloading algorithm to enhance the security in the Mobile Cloud Computing (MCC) by combining Advanced Encryption Standard (AES), Secured Hashing Algorithm (SHA)-256 and Diffie-Hellman key exchange techniques. In the proposed system, the application in the mobile device is divided to offloadable and non-offloadable portions, usually threads. The offloadable thread is now suspended and wrapped in the mobile device. In order to secure the transmission, the wrapped thread is added with the hash value generated from SHA-256 algorithm and the secret key will be exchanged with the help of Diffie- Hellman algorithm. To improve …
Linear Instability Of Inviscid Jets With Thermo-Capillarity, Abdullah M. Alsharif
Linear Instability Of Inviscid Jets With Thermo-Capillarity, Abdullah M. Alsharif
Applied Mathematics & Information Sciences
This study deals with the investigation of the temporal and spatial instability of inviscid jets with the effects of the thermal energy. The variation of surface tension causes Marangoni flow that affects drop formation and break-up of liquid jets. The governing equations are reduced into one-dimensional model using an asymptotic analysis. The dispersion relation for thermo-capillary inviscid liquid jets is derived to examine the behavior of the dimensionless parameter of the linear instability. Moreover, the growth rate and the maximum wavenumber are displayed along the jet.
Improvements In Cluster-Based Routing To Protect Malicious Node Attacks On Taodv Routing Protocol Using Manet, N. Satheesh, K. Prasadh
Improvements In Cluster-Based Routing To Protect Malicious Node Attacks On Taodv Routing Protocol Using Manet, N. Satheesh, K. Prasadh
Applied Mathematics & Information Sciences
In MANET resources are trivial with a controlled environment with extreme mobility and do not have any centralized directorial control. Self-motivated topological variations occur because of the excellent mobility of the nodes for creating experiments in routing and constructing protected message passing. Here, the impact of WormHole (WH) Attack analyzed is by the Ad hoc On- Demand Distance Vector Routing Protocol (AO-DDRP) in the existence of WAs. Cluster formation is the mechanism for grouping wireless nodes in the form of clusters under CH for easy management of the network. The Hash Function (HF) proposed when there is a tie between …
An Integrated Approach Of Statistical, Remote Sensing And Gis Techniques For Evaluation Of Vulnerable Cut Slopes, R. Chandrasekaran, P. S. Kumar
An Integrated Approach Of Statistical, Remote Sensing And Gis Techniques For Evaluation Of Vulnerable Cut Slopes, R. Chandrasekaran, P. S. Kumar
Applied Mathematics & Information Sciences
Road networks play a vital role in the socio-economic growth throughout the world. Over population in developing countries, such as India, cause destabilisation of hill slopes and movement of mass wasting. Stability of slopes is in hilly terrain is substantial for for proper planning, development, and maintenance of hilly roads. The present study contributes in mitigation processes, through slope stability and qualitative estimation of rock mass classification systems, in between Mettupalayam and Coonoor Ghat sections, Nilgiri District, Tamil Nadu, India. The Coonoor Ghat section (\mbox{NH-67}) plays a significant role in transportation which connects Nilgiri with Karnataka and Kerala. The geo-mechanical …
Binomial Regressive Influence Behavior Ranking For Virtual Community Formation In Social Network, R. Gnanakumari, P. Vijayalakshmi
Binomial Regressive Influence Behavior Ranking For Virtual Community Formation In Social Network, R. Gnanakumari, P. Vijayalakshmi
Applied Mathematics & Information Sciences
A Social Network (SN) is a website which permits people to share the data about their personal or business endeavor to form the virtual community. Due to communication between the users in the SN, a similar users behavior identification causes a fundamental issue. The existing techniques still encounter the problem of identifying similar behavior accurately. Therefore, Statistic Dice Similarity Based Probabilistic Binomial Regression and Ranking (SDS-PBRR) method introduced. First, the similarity value between the users behaviors is calculated using Statistic Dice Similarity Coefficient (SDSC). Second, Probabilistic Binomial Regression Analysis is carried out to evaluate the similarity value and to classify …
A New Processing Method For Signal And Image Analysis Using Discrete Wavelet Transform, S. P. Kesavan, R. Rajeswari
A New Processing Method For Signal And Image Analysis Using Discrete Wavelet Transform, S. P. Kesavan, R. Rajeswari
Applied Mathematics & Information Sciences
In this paper, we develop a new method for the analysis of signal and image data using Discrete Wavelet Transform (DWT). The new method reduces the size of the computing devices and consumes less energy. Out of different transformation techniques, the most famous and dominant architecture is the discrete wavelet transform. The discrete wavelet transform design optimization has done on power and leakage current reduction. New adders are proposed which are based on power gating and reversible logic. It is shown that the proposed adders reduce the dynamic power by about 30%. The proposed design in 45 nm and 32 …
A Novel Hyperspectral Image Classification Technique Using Deep Multi-Dimensional Recurrent Neural Network, K. Thilagavathi, A. Vasuki
A Novel Hyperspectral Image Classification Technique Using Deep Multi-Dimensional Recurrent Neural Network, K. Thilagavathi, A. Vasuki
Applied Mathematics & Information Sciences
In this paper, a novel Multi-Dimensional Recurrent Deep Neural Network is proposed for classifying hyperspectral images. Deep Learning Networks have developed rapidly with applications in several fields including computer vision, healthcare, bioinformatics and machine learning. Multi-Dimensional Recurrent Deep Neural Networks are a special case of directed acyclic graph networks in which standard Recurrent Neural Networks are realized by giving recurrent connections along all spatio-temporal dimensions of the data and the recurrent connection size is equal to the dimension of the data. In this work, two Recurrent Neural Networks are replaced by one Multi-Dimensional Recurrent Deep Neural Network to learn middle-level …
Analysis Of Tio2–Zno/Eg Hybrid Nanofluid Effect On Heat Transfer Enhancement, D. Nesakumar, R. Baskar
Analysis Of Tio2–Zno/Eg Hybrid Nanofluid Effect On Heat Transfer Enhancement, D. Nesakumar, R. Baskar
Applied Mathematics & Information Sciences
We employ 23 full factorial design to analyze the effect of temperature, volume fraction of hybrid nanofluids and channel height on heat transfer intensification through microchannel under laminar conditions. The range of temperature is varied from 30 ◦C to 50 ◦C and the volume fractions of hybrid nanoparticles TiO2/ZnO in ethylene glycol are varied from 1% to 4% and the channel height is varied from 200 μm to 400 μm. Using MINITAB 18 software, experiments were conducted with 24 runs using TiO2– ZnO/Ethylene glycol hybrid nanofluids in the rectangular microchannel heat exchanger. Based on this experimental study, various numerical simulations …
Fitted Spectral Tau Jacobi Technique For Solving Certain Classes Of Fractional Differential Equations, Abeer Adel Al-Nana, Omar Abu Arqub, Mohammed Al-Smadi, Nabil Shawagfeh
Fitted Spectral Tau Jacobi Technique For Solving Certain Classes Of Fractional Differential Equations, Abeer Adel Al-Nana, Omar Abu Arqub, Mohammed Al-Smadi, Nabil Shawagfeh
Applied Mathematics & Information Sciences
In this paper, an efficient numerical technique, so-called the fitted spectral tau Jacobi (FSTJ), is presented to obtain the solutions of a class of fractional differential equations (FDEs) based on the Jacobi polynomials utilized as natural basis functions under the Caputo sense of fractional derivative. The solution methodology is based on the matrix-vector–product technique in Tau formulation of the model. A comparative study was conducted between the gained results in FSTJ method and other existing methods. Convergence and error analysis are presented to confirm the validity and feasibility of the proposed method for solving such problems. Numerical applications are given …
Multi-Objective Sub-Linear Frequent Mining-Based Information Prediction In Biomedical Datasets Using Big Data Analytics, G. Elangovan, G. Kavya
Multi-Objective Sub-Linear Frequent Mining-Based Information Prediction In Biomedical Datasets Using Big Data Analytics, G. Elangovan, G. Kavya
Applied Mathematics & Information Sciences
Recently, big data applications have been rapidly expanded into various industries. Healthcare is one of the industries that are seek to use big data platforms and mining. As a result, some large data analytics tools have been adopted in this field. Medical imaging, which is a pillar in diagnostic healthcare, involves a high volume of data collection and processing. The most challenging issue is common in sub-graph mining process to reduce the dimensionality of medical data set is minimized. In this paper, we propose a Multi-Objective Sub-Linear Frequent Mining (MOSLFM) to estimate the real values of outline processing in biomedical …
Qualitative Analysis Of A Sir Epidemic Model With A Nonlinear Relapse And Incidence Rate Stochastically Perturbed, Abdelaziz Assadouq, Adel Settati, Ali El Myr
Qualitative Analysis Of A Sir Epidemic Model With A Nonlinear Relapse And Incidence Rate Stochastically Perturbed, Abdelaziz Assadouq, Adel Settati, Ali El Myr
Applied Mathematics & Information Sciences
In this paper, we analyze a stochastic SIR epidemic model in a constant population with a relapse and nonlinear perturbation. First, we illustrate show that the system has a unique global positive solution that belongs to a positively invariant set. Then, we obtain sufficient conditions for the extinction and persistence in the mean. Finally, numerical simulations are carried out to illustrate the theoretical results.
Analytical Solutions Of Incompressible Couple Stress Fluid Flows, Imran Siddique, Yousra Umbreen
Analytical Solutions Of Incompressible Couple Stress Fluid Flows, Imran Siddique, Yousra Umbreen
Applied Mathematics & Information Sciences
In the present article, we intend to solve the Stokes first and second problems for an incompressible couple stress fluid under isothermal conditions. The solutions of the considered problems are obtained by the Laplace transform (LT) as for the time variable $t$ and the sine Fourier transform (FT) as for the $y$-variable. It ought be noticed that by suitable manipulations of the inverse integral transforms, fluid velocity expressions are written as the sum of steady-state (post-transient solution) and transient solutions. Further, we wish to give a comparison of the obtained results and the results obtained by Devakar and Lyengar \cite{1} …
A Fuzzy Responsibility-Based Access Organizer For Leukemia Record Protection Using Kwatts Algorithm, B. Shuriya, A. Rajendran
A Fuzzy Responsibility-Based Access Organizer For Leukemia Record Protection Using Kwatts Algorithm, B. Shuriya, A. Rajendran
Applied Mathematics & Information Sciences
The importance of classifying cancer patients into high to low-risk groups has led many research teams to study the application of machine learning (ML) methods. Here, the leukemia dataset is used for classification to diagnosis the disease. The proposed K-Watts classifying algorithm, compared to other classification algorithms, yields the lowest error rate. The purpose of the reproduction for record protection is to represent a clear idea about the new Fuzzy Responsibility- Based Access Organizer (FRBAO). The projected reproduction provides the wider society safe plans, or with access to the organized mode in MultiPlan hypothesis, using fuzzy constraints. The view part …
Stochastic Model Of Crude Oil Spot Price Process As A Jump-Diffusion Process, Chisara Peace Ogbogbo
Stochastic Model Of Crude Oil Spot Price Process As A Jump-Diffusion Process, Chisara Peace Ogbogbo
Applied Mathematics & Information Sciences
Although crude oil is a major source of energy throughout the world, unexpected jumps in its price cause remarkable economic events globally. Countries such as Nigeria and Venezuela, whose major foreign exchange earner is crude oil. have experienced economic recession because of the recent huge drop in its price. Thus, understanding the dynamics of its price has become necessary. Moreover, obtaining a model that properly describes crude oil spot price movement is useful for strategic investment planning, managing market risks and even for short time forecasting. Crude oil price exhibits jumps, so Gaussian models will fail to capture the real …
Effect Of Initial Stress On The Electromechanical Coupling And The Bleustein-Gulyaev Wave In A Transversely Isotropic Piezoelectric Layered Structure, Rawan A. Bossly
Effect Of Initial Stress On The Electromechanical Coupling And The Bleustein-Gulyaev Wave In A Transversely Isotropic Piezoelectric Layered Structure, Rawan A. Bossly
Applied Mathematics & Information Sciences
The present paper investigates the electromechanical coupling and the propagation of Bleustein–Gulyaev (B-G) wave in a transversely isotropic piezoelectric composed half-space under the effect of initial stress. It also addresses the dispersion relation of the Bleustein-Gulyaev wave. The suitable electrical and mechanical boundary conditions are considered for the electric potential, and electric displacements. The dispersion relation is computed numerically and illustrated graphically for the electric open and short cases for different thicknesses of the layer and wave number under the effect initial stress. The results indicate that the Bleustein-Gulyaev wave and electro-mechanical coupling factor are influenced by initial stress and …
Dynamic Channel Assignment And Gateway Load Balanced Routing For Multi-Channel Wireless Mesh Networks, K. Saravanan, A. Chilambuchelvan
Dynamic Channel Assignment And Gateway Load Balanced Routing For Multi-Channel Wireless Mesh Networks, K. Saravanan, A. Chilambuchelvan
Applied Mathematics & Information Sciences
In this paper, we propose the dynamic channel assignment and Gateway (GW) load balanced routing protocol. In this protocol, a combined cost metric is determined incorporating channel quality, switching cost and queue length. Then the GW having the minimum cost metric is selected by the source node. Then channels are fairly assigned in the network by the selected GW between itself and the mesh clients. In GW load balanced routing, the GW selects a path with the minimum load based on the interface queue length. Congestion is detected at any intermediate router based on Exponentially Weighted Moving Average (EWMA) of …
Soliton Pair Propagation In Three-Level Unbalanced Medium, Sofiane Grira, Hichem Eleuch
Soliton Pair Propagation In Three-Level Unbalanced Medium, Sofiane Grira, Hichem Eleuch
Applied Mathematics & Information Sciences
The study investigates the soliton-pair propagation in an optical dense three-level atomic media where the dissipation of the atomic system is considered for unbalanced coupling between the allowed atomic transitions and the two classical pump fields. Analytical solutions of the solitary wave-pair are derived and the existence conditions for such wave-pair propagation is highlighted. The allowed soliton-pair velocities are defined.