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Articles 1 - 30 of 203
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On The Weighted Pseudo Almost Periodic Solutions Of Nonlinear Functional Duffing Equation, Ramazan Yazgan, Cemil Tunc
On The Weighted Pseudo Almost Periodic Solutions Of Nonlinear Functional Duffing Equation, Ramazan Yazgan, Cemil Tunc
Applied Mathematics & Information Sciences
This paper investigates a nonlinear Duffing equation with a variable time lag. By using a fixed point theorem, weighted pseudo almost periodic functions and differential inequality techniques, we establish new criteria for existence,uniqueness and globally exponential stability of weighted pseudo almost periodic solutions. An example with its numerical simulation is given to show the applicability of the proposed results. The results obtained is new and complements that found in the literature.
On The Entropy Of Progressive Hybrid Censoring Schemes, Bader Almohaimeed
On The Entropy Of Progressive Hybrid Censoring Schemes, Bader Almohaimeed
Applied Mathematics & Information Sciences
In a recent days, progressive hybrid censoring scheme based on combination of Type-I and Type-II progressive censoring schemes has been discussed and studied quite extensively in literature of reliability analysis. In this paper, we use the entropy decomposition in progressive hybrid censoring data to obtain expression in a simple form for the entropy of progressively hybrid Type-I and Type-II censored data. Moreover, We compute the entropy in progressive hybrid Type-1 and Type II censored samples for the scaled exponential distribution to illustrate the existence of the presented method.
Analytical Evaluation Of The Integral Of Any Order Polynomials On Tetrahedral Regions, Mao T. Murillo, Julio C. Carrillo
Analytical Evaluation Of The Integral Of Any Order Polynomials On Tetrahedral Regions, Mao T. Murillo, Julio C. Carrillo
Applied Mathematics & Information Sciences
This paper presents an analytical method to set out the integral of any polynomial function f(x,y,z) on a tetrahedral region T by using its four vertexes. The method uses a coordinate transformation which involves the four vertexes of the tetrahedron, whose Jacobian is simple. The last integral is not difficult to solve given that recurrence formula is very simple, furthermore we have developed an algorithm which can evaluate the integral when integrating function is generated by several multiplications of polynomials without necessity of develop the products. This method can be used in finite element method because the most functions involved …
A New Mathematical Model And Its Application In The Pollution Of Air And Water: An Application Of Virtual Experience In Qassim Province In Kingdom Of Saudi Arabia, Ali Allahem, Salah Boulaaras, Sewalem Ghanem
A New Mathematical Model And Its Application In The Pollution Of Air And Water: An Application Of Virtual Experience In Qassim Province In Kingdom Of Saudi Arabia, Ali Allahem, Salah Boulaaras, Sewalem Ghanem
Applied Mathematics & Information Sciences
In this paper, we present a numerical model of one-dimensional equations of transport equation, where we apply the model in a hypothetical example and compare the results of our model with a virtual experience which deals with the concentration of certain pollutants and their speed diffusion in water in Qassim province in Kingdom of Saudi Arabia.
Product Based Business Decision Making For Enhanced Information Retrieval Based Root Cause Analysis, S. Subitha, S. Sujatha
Product Based Business Decision Making For Enhanced Information Retrieval Based Root Cause Analysis, S. Subitha, S. Sujatha
Applied Mathematics & Information Sciences
Business decision making has become complex due to increased online e-commerce activities (purchases). Though profitable, this has reduced personalized interactions with buyers, hence leaving the organizations in the leeward side of user’s feedbacks and requirements. Social networking sites provide a base platform for users to interact with their peers, also providing a platform for organizations to leverage the missed feedbacks and requirements. However, the huge amount of content (less relevant and more irrelevant) present in such domains makes appropriate data retrieval a complex task. This paper presents an architecture that can be used to effectively retrieve information from heterogeneous data …
The Solution Of The Hierarchy Of Quantum Kinetic Equations For Correlation Matrices With Generalized Yukawa Potential, Nikolai (Jr.) Bogolubov, Mukhayo Rasulova, Umarbek Avazov
The Solution Of The Hierarchy Of Quantum Kinetic Equations For Correlation Matrices With Generalized Yukawa Potential, Nikolai (Jr.) Bogolubov, Mukhayo Rasulova, Umarbek Avazov
Applied Mathematics & Information Sciences
In paper the evolution of N identical in mass and charge particles interacting wia generalized Yukawa potential is investigated. The system of particles is considered in a finite area. Using the semi group theory, we prove the existence of a unique solution of the chain of quantum kinetic equations for correlation matrices.
Neural Networks Optimization Through Genetic Algorithm Searches: A Review, Haruna Chiroma, Ahmad Shukri Mohd Noor, Sameem Abdulkareem, Adamu I. Abubakar, Arief Hermawan, Hongwu Qin
Neural Networks Optimization Through Genetic Algorithm Searches: A Review, Haruna Chiroma, Ahmad Shukri Mohd Noor, Sameem Abdulkareem, Adamu I. Abubakar, Arief Hermawan, Hongwu Qin
Applied Mathematics & Information Sciences
Neural networks and genetic algorithms are the two sophisticated machine learning techniques presently attracting attention from scientists, engineers, and statisticians, among others. They have gained popularity in recent years. This paper presents a state of the art review of the research conducted on the optimization of neural networks through genetic algorithm searches. Optimization is aimed toward deviating from the limitations attributed to neural networks in order to solve complex and challenging problems. We provide an analysis and synthesis of the research published in this area according to the application domain, neural network design issues using genetic algorithms, types of neural …
On Relative M-Semi Logarithmically Convexity Functions, Miguel Vivas Cortez, Jorge E. Hernandez H.
On Relative M-Semi Logarithmically Convexity Functions, Miguel Vivas Cortez, Jorge E. Hernandez H.
Applied Mathematics & Information Sciences
We consider and study a new class of convex functions that are called relative m−semilogarithmic convex functions. Some Hermite-Hadamard inequalities for this a kind of generalized convex function are derived.
Inequalities Associated With Invariant Harmonically H-Convex Functions, Muhammad Uzair Awan, Muhammad Aslam Noor, Marcela V. Mihai, Khalida Inayat Noor
Inequalities Associated With Invariant Harmonically H-Convex Functions, Muhammad Uzair Awan, Muhammad Aslam Noor, Marcela V. Mihai, Khalida Inayat Noor
Applied Mathematics & Information Sciences
In this paper, we introduce a new class of harmonically convex functions which is called invariant harmonically h-convex function. We show that the class of invariant harmonically h-convex functions unifies several other new and classes of invariant harmonically convex functions. Some associated integral inequalities of Hermite-Hadamard type are obtained. Several special cases are also discussed.
Differential Operators Homotopy Perturbation Method (Dohpm): An Automated Selection Procedure For Adjustment Parameters, U. Filobello-Nino, H. Vazquez-Leal, B. Benhammouda, A. Perez-Sesma, A. Sarmiento-Reyes, V. M. Jimenezfernandez
Differential Operators Homotopy Perturbation Method (Dohpm): An Automated Selection Procedure For Adjustment Parameters, U. Filobello-Nino, H. Vazquez-Leal, B. Benhammouda, A. Perez-Sesma, A. Sarmiento-Reyes, V. M. Jimenezfernandez
Applied Mathematics & Information Sciences
This paper proposes a modified version of HPM method (DOHPM method), introducing in a systematic fashion, adjustment parameters in order to obtain analytical approximate solutions for nonlinear differential equations by using certain differential operators to turn a nonlinear differential equation into other of higher order. Comparison with exact solution shows that DOHPM method is highly efficient if the initial guess is chosen adequately
Second Order Fuzzy Fractional Differential Equations Under Caputo’S H-Differentiability, Shatha Hasan, Ahmad Alawneh, Mohammad Al-Momani, Shaher Momani
Second Order Fuzzy Fractional Differential Equations Under Caputo’S H-Differentiability, Shatha Hasan, Ahmad Alawneh, Mohammad Al-Momani, Shaher Momani
Applied Mathematics & Information Sciences
The aim of this paper is to use the concept of the generalized H-derivative to define fuzzy Caputo’s H-derivative of order β ∈(1,2]. Our definition is an extension of fuzzy Caputo’s H-derivative of order β ∈(0,1] and higher order H-derivative of integerorder. After that, we study fuzzy fractional initial value p roblems of order β ∈(1,2] and give an algorithm to solve them based onthe characterization theorem. Finally, we apply the reprod ucing kernel Hilbert space method to obtain approximate solutions of second order fuzzy fractional initial value problems and give some numerical examples.
Developing R&D Business Aspect Evaluation Model, Kwang Hyuk Im, Sang Chan Park, Seok-Hun Kim, Hyun-Jin Yeo
Developing R&D Business Aspect Evaluation Model, Kwang Hyuk Im, Sang Chan Park, Seok-Hun Kim, Hyun-Jin Yeo
Applied Mathematics & Information Sciences
The purpose of this research is to develop R&D validity evaluation model in business model aspect with Korean patent data for variety applicable criteria such as investment decision making. The model in this research has four core analysis modules: market, growth pattern, competitive and financial those analyze nine BMC(Business Model Components) clarified in this research with classified keywords within patent specification database categorized by industry: Value proposition, Customer segments, Channels, Customer relationship, Key activities, Key resources, Key partnerships, Cost structure, and Revenue stream. This model suggests the key notations for four modules to systemize R&D validity evaluation model which facilitates …
Topological Indices Of The Line Graph Of Subdivision Graph Of Complete Bipartite Graphs, Adnan Aslam, Juan Luis Garcıa Guirao, Safyan Ahmad, Wei Gao
Topological Indices Of The Line Graph Of Subdivision Graph Of Complete Bipartite Graphs, Adnan Aslam, Juan Luis Garcıa Guirao, Safyan Ahmad, Wei Gao
Applied Mathematics & Information Sciences
Topological index is a number associated with molecular graph and this number correlate certain physico-chemical properties of chemical compounds. In the study of QSAR/QSPR, topological indices such as, Randic´ index, Zagreb index, general sumconnectivity index, atom-bond connectivity (ABC) index and geometric-arithmetic (GA) index are exploited to estimate the bioactivity of chemical compounds. In this paper, we compute generalized Randic´ , first and second Zagreb, first and second multiple Zagreb, hyper Zagreb, general sum connectivity index, ABC and GA indices of the line graph of subdivision graph of complete bipartite graphs. Moreover, we also give an explicit formula for ABC4 and …
Thermal Stresses In Thermoelastic Half-Space Without Energy Dissipation Subjected To Rotation And Magnetic Field, S. M. Abo-Dahab, A. M. Abd-Alla, E. E. Mahmoud
Thermal Stresses In Thermoelastic Half-Space Without Energy Dissipation Subjected To Rotation And Magnetic Field, S. M. Abo-Dahab, A. M. Abd-Alla, E. E. Mahmoud
Applied Mathematics & Information Sciences
The present paper is concerned with the investigation of disturbances in a homogeneous, isotropic and thermoelastic rotating medium withmagnetic fieldand a time-dependent heat source effect due to thermomechanical source. The formulation is without energy dissipation subjected to thermomechanical source. The normal mode analysisand eigenvalue approach techniques are applied to solve the problem. The expressions of displacement, mean value of normal stress, dilatation and temperature are obtained in the domain. Numerical simulated results are depicted graphically to show the effect of magnetic field and rotation on resulting quantities. The results indicate that the effect of magnetic field, rotation, frequency, wave number …
Performance Evaluation Of Priority Based Obs Networks With Negative Bursts, D. Veera Vanitha, M. Sabrigiriraj, D. Sumitha
Performance Evaluation Of Priority Based Obs Networks With Negative Bursts, D. Veera Vanitha, M. Sabrigiriraj, D. Sumitha
Applied Mathematics & Information Sciences
In Optical Burst Switching networks there is a need for the promising solution to minimize the burst loss. When a burst enters into the ingress node of the network and finds the server free, burst transmission takes place normally. If the server is busy, the burst would enter into the buffer at the ingress node and the burst retransmission takes place after sometime or the burst leaves the network as impatient burst. This reduces number of bursts being processed in the network. To avoid burst loss, buffering and retransmission techniques are combined. The effect due to the presence of positive …
Unsteady Mhd Non-Darcian Flow Of A Casson Nanofluid Between Two Parallel Plates With Heat And Mass Transfer, Nabil T. M. El-Dabe, H. A. Attia, M. A. I. Essawy, A. A. Ramadan, A. H. Abdel-Hamid
Unsteady Mhd Non-Darcian Flow Of A Casson Nanofluid Between Two Parallel Plates With Heat And Mass Transfer, Nabil T. M. El-Dabe, H. A. Attia, M. A. I. Essawy, A. A. Ramadan, A. H. Abdel-Hamid
Applied Mathematics & Information Sciences
The unsteady MHD Hartmann flow of an incompressible Casson nanofluid bounded by two stationery parallel horizontal plates in a porous medium is studied with heat and mass transfer. A non-Darcy model that obeys the Forchheimer extension is assumed for the characteristics of the porous medium. A uniform and constant pressure gradient is applied in the axial direction whereas a uniform suction and injection are applied in the direction normal to the plates. The two plates are kept at constant and different temperatures and the viscous and porous dissipations are not ignored in the energy equation. Moreover, the concentration of the …
Reliable Energy Based Efficient Protocol For Improving Fault Tolerance In Mobile Ad Hoc Networks, N. Sureshkumar, S. Bhavani
Reliable Energy Based Efficient Protocol For Improving Fault Tolerance In Mobile Ad Hoc Networks, N. Sureshkumar, S. Bhavani
Applied Mathematics & Information Sciences
In Mobile Ad-Hoc Network all mobile nodes are communicated in the absence of access point. The previous fault tolerant routing in ad hoc network does not focus on real time issues in packet forwarding. Due to mobility of mobile node causes the frequent link changes, path may break frequently which leads to network degradation. To solve the path failure and packet dropping, a new protocol called Fuzzy logic based Reliable Stability enhanced Fault Routing Protocol (FRSFRP) is proposed to improve the network performance. In this protocol, there are three phases. In first phase, load balanced routing is established from source …
K-Means-Clustering Based Evolutionary Algorithm For Multi-Objective Resource Allocation Problems, A. A. Mousa, M. A. El-Shorbagy, M. A. Farag
K-Means-Clustering Based Evolutionary Algorithm For Multi-Objective Resource Allocation Problems, A. A. Mousa, M. A. El-Shorbagy, M. A. Farag
Applied Mathematics & Information Sciences
The process of finding the optimal allocation of limited resources to a number of tasks for optimizing multiple objectives is called multi-objective resource allocation problem (MORAP). This paper presents K-means-clustering based on one of the evolutionary algorithm, genetic algorithm(GA), to solve MORAP. Using the K-means-clustering algorithm to divide the population to a specific number of sub-populations each of them with dynamic size. Therefore, different operators of GA (crossover&mutation) can be implemented to each subpopulation instead of applied the same GA operators to the all population. The aim of dynamic clustering is to preserve and introduce diversity into solutions, instead of …
Accuracy Enhancement Of The Epileptic Seizure Detection In Eeg Signals, B. Al-Bokhity, Dalia Nashat, T. M. Nazmy
Accuracy Enhancement Of The Epileptic Seizure Detection In Eeg Signals, B. Al-Bokhity, Dalia Nashat, T. M. Nazmy
Applied Mathematics & Information Sciences
The detection of epileptic seizures becomes increasingly important because of the widespread of this disease all over the world. Early detection of epileptic seizures helps the patient to manage epilepsy. This paper introduces a detection system for epileptic seizures that implements a Short-Time Fourier Transform (STFT) for denoising the Electroencephalogram (EEG) signal and Wavelet Transform (WT) for features extraction. Four EEG types (i.e Healthy people, Epileptic people during the seizure-free interval (Interictal), Epileptic people during seizure interval (Focal) and Epileptic people during seizure interval (Nonfocal)) are classified by using a Multi-Layer Perceptron Neural Network (MLPNN) classifier. The used dataset was …
A Decision Tree Approach For The Musical Genres Classification, Glaucia M. Bressan, Beatriz C. F. De Azevedo, Elisangela Ap. S. Lizzi
A Decision Tree Approach For The Musical Genres Classification, Glaucia M. Bressan, Beatriz C. F. De Azevedo, Elisangela Ap. S. Lizzi
Applied Mathematics & Information Sciences
The interest in the music classification has increased due to its wide applicability and discoveries obtained from researches. However, efficient methods for systemic organization of digital libraries are required, since users need to classify the available music files. When an automatic classification is desired, the extraction of input attributes and an efficient system, able to process them, are needed. In this context, the use of decision trees as a tool to predict musical genres classes allows the monitoring of the ramification, since nodes and branches of the tree can be accessed in this process. Decision tree is a technique very …
Function Approximation With Deep Neural Network For Image Classification In Fuzzy Domain, Sasi Gopalan, Linu Pinto, Sheela. C., Arun Kumar M. N.
Function Approximation With Deep Neural Network For Image Classification In Fuzzy Domain, Sasi Gopalan, Linu Pinto, Sheela. C., Arun Kumar M. N.
Applied Mathematics & Information Sciences
Image Classification and retrieval of image from a large database has a great relevance in the present Scenario. A lot of work for an efficient method of image retrieval from large database has been made in the recent surveys. Here we propose a mathematical model based on CBIR system that uses the deep neural architecture for classification where the inputs are fuzzy grassland image features. Grassland image features varies according to the varieties of grassland images available through satellite images and hence its classification is a complex process. This paper proposes a new method for classification in which the inputs …
Performance Simulation Of Higher Frequency Band Models For D2d Application Of 5g Technology, B. Suganthi, C. Vennila
Performance Simulation Of Higher Frequency Band Models For D2d Application Of 5g Technology, B. Suganthi, C. Vennila
Applied Mathematics & Information Sciences
The next generation of wireless transmission technology 5G is expected to support the development of high frequency channel models, so the interpretation of high frequency bands is the most important issue in radio propagation research. In this paper, multiple urban microcellular measurements have been carried out at 80 GHz. The collected data is uniformly analyzed to compare the simulation results of 5G MIMO models with the proposed algorithms using network Downlink Essentials 5G MIMO LTE-A and MIMO-OFDM. The 4 × 4 MIMO is an inwardly influential and 8 × 8 MIMO has accuracy of 89% for the frequencies 100 MHz …
Minimizing Handover Delay And Maximizing Throughput By Heterogeneous Handover Algorithm (Hha) In Telecommunication Networks, M. Phemina Selvi, S. Sendhilnathan
Minimizing Handover Delay And Maximizing Throughput By Heterogeneous Handover Algorithm (Hha) In Telecommunication Networks, M. Phemina Selvi, S. Sendhilnathan
Applied Mathematics & Information Sciences
Handover mechanism plays a vital role in the wireless telecommunication networks. The process of transferring the control of Mobile Terminal (MT)/Mobile Nodes (MN) due to mobility from one point of attachment to another point of attachment creates problems of delay, link failure, packet loss and error rate in the packets. The proposed work is modeled to analyze the performance of vertical handover considering 4G and wireless data networks. The vertical handover delay is estimated based on radio link quality and merit function of access network. A Matlab based heterogeneous model is considered and with the designed algorithm the performance is …
Inverted Generalized Linear Exponential Distribution As A Lifetime Model, Mohamed A. W. Mahmoud, M. G. M. Ghazal, H. M. M. Radwan
Inverted Generalized Linear Exponential Distribution As A Lifetime Model, Mohamed A. W. Mahmoud, M. G. M. Ghazal, H. M. M. Radwan
Applied Mathematics & Information Sciences
This paper concerns with a new lifetime model named the inverted generalized linear exponential distribution (IGLED). Statistical properties like moments, quantile and modes are introduced. The classification of the behavior of IGLED based on reliability analysis like mean residual life (MRL) time, the mean waiting time (MWT), the hazard rate (HR) function and the reversed hazard rate (RHR) function are discussed. Bonferroni curve (Bc), Lorentz curve, the scaled total time on test (TTT) transform curve and the measures of income inequality are also studied. The heavy-weight property is proved for IGLED under the shape parameter ξ . The explanation of …
On The Coupling Of The Thermostatted Kinetic Theory With The Information Theory, Carlo Bianca
On The Coupling Of The Thermostatted Kinetic Theory With The Information Theory, Carlo Bianca
Applied Mathematics & Information Sciences
This paper deals with a further generalization of the continuous thermostatted kinetic theory for active particles. Specifically the interest focuses on the linking between the macroscopic data and the statistical evolution of the system. The connection between measurements and sources is established by defining an inverse problem based on the distribution vector function solution of the thermostatted kinetic framework. The inverse problem belongs to the class of ill-posed Volterra equations of the first kind considering that the number of sources can be greater of the number of measurements. The uniqueness of the solution is obtained by coupling the thermostatted kinetic …
Pixel Valued Adaptive Single Scale Center Surround Algorithm- An Innovative Approach For Illumination Removal, R. Alarmelu Mangai, N. Devarajan
Pixel Valued Adaptive Single Scale Center Surround Algorithm- An Innovative Approach For Illumination Removal, R. Alarmelu Mangai, N. Devarajan
Applied Mathematics & Information Sciences
This paper proposes an innovative approach for removing the non uniform illumination which is a major artifact in microscopic algal images. Center Surround Algorithm is used for correcting the non uniform illumination where the illumination and reflectance are separated but not completely removed. In this new algorithm the pixel values are replaced based on the geometric mean of the surrounding pixels and applying the Adaptive Single Scale Center Surround Algorithm to remove non uniform illumination. By determining inhomogenity and calculating zeros the illumination is completely removed. By iterating the convolution, the edges are also preserved. Many of the algal species …
Efficient File Sharing Mechanism In P2p Using Energy Efficient Clustering Mechanism, P. Arockia Mary, M. Radhakrishnan
Efficient File Sharing Mechanism In P2p Using Energy Efficient Clustering Mechanism, P. Arockia Mary, M. Radhakrishnan
Applied Mathematics & Information Sciences
Effective and secured file sharing is the essential factor in real time networks. Common distributed network environment faces numerous problems in existing file sharing mechanism. In this research paper we have proposed a novel approach using Trust based Energy Efficient Clustering Mechanism by using firefly algorithm to improve the throughput. The proposed architecture has been designed with four phases for effective file sharing in P2P networks. In the first stage an Energy Efficient Clustering Mechanism with Firefly calculation has been introduced. A vitality proficient Clustering calculation with ideal parameters is intended for decreasing the vitality utilization and drawing out the …
Hybrid Taylor-Lucas Collocation Method For Numerical Solution Of High-Order Pantograph Type Delay Differential Equations With Variables Delays, Nurcan Bayku, Mehmet Sezer
Hybrid Taylor-Lucas Collocation Method For Numerical Solution Of High-Order Pantograph Type Delay Differential Equations With Variables Delays, Nurcan Bayku, Mehmet Sezer
Applied Mathematics & Information Sciences
In this study we consider a higher-order linear nonhomogenous pantograph type delay differential equation with variable coefficients and variables delays, and propose a new collocation method based on hybrid Taylor and Lucas polynomials. The presented method transforms the delay differential equation with the initial and boundary conditions to a system of linear algebraic equations with the unknown Lucas coefficients; by finding Lucas coefficients easily, Lucas polynomial solutions are obtained. Also an error estimation technique based on residual function is developed for our method and applied to exiting problems.
A One-Dimensional Mathematical Model For The Source Reconstruction By The Maximum Entropy Principle, Carlo Bianca, Raphael Sasportas
A One-Dimensional Mathematical Model For The Source Reconstruction By The Maximum Entropy Principle, Carlo Bianca, Raphael Sasportas
Applied Mathematics & Information Sciences
This paper is concerned with the localization problem of a source belonging to a domain monitored by a network of detectors. A mathematical model is proposed within an inverse problem framework which is based on the maximum information entropy principle. Specifically the connection between the measurements released by the detectors and the sources is obtained by assuming that each detector has a visibility domain which is modeled by introducing a visibility function. A computational sensitivity analysis is performed on the number of detectors and on the visibility functions. The results are of great interest in the applied sciences.
Energy Efficient Quasi Cyclic Fec For Wireless Sensor Networks, P. Kaythry, R. Kishore
Energy Efficient Quasi Cyclic Fec For Wireless Sensor Networks, P. Kaythry, R. Kishore
Applied Mathematics & Information Sciences
Wireless sensor network (WSN) is a collection of battery operated sensor devices with lossy nature. Achieving reliability in data transmission in WSN is a big challenge. Forward error control (FEC) and Automatic Repeat request (ARQ) are the error control mechanisms used for increasing the reliability of data transmission. Since, WSN is a power constraint environment, the error control mechanism implemented in the sensor nodes should consume less energy. In this paper, we propose optimal quasi cyclic FEC scheme in WSN for detection and correction of burst errors. In ARQ, retransmission of corrupted data is highly time consuming whereas the proposed …