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Articles 1291 - 1320 of 2320
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A Novel Non-Negative Matrix Factorization Method For Recommender Systems, Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri
A Novel Non-Negative Matrix Factorization Method For Recommender Systems, Mehdi Hosseinzadeh Aghdam, Morteza Analoui, Peyman Kabiri
Applied Mathematics & Information Sciences
Recommender systems collect various kinds of data to create their recommendations. Collaborative filtering is a common technique in this area. This technique gathers and analyzes information on users preferences, and then estimates what users will like based on their similarity to other users. However, most of current collaborative filtering approaches have faced two problems: sparsity and scalability. This paper proposes a novel method by applying non-negative matrix factorization, which alleviates these problems via matrix factorization and similarity. Non-negative matrix factorization attempts to find two non-negative matrices whose product can well approximate the original matrix. It also imposes non-negative constraints on …
Solving Volterra Integro-Differential Equation By The Second Derivative Methods, Galina Mehdiyeva, Mehriban Imanova, Vagif Ibrahimov
Solving Volterra Integro-Differential Equation By The Second Derivative Methods, Galina Mehdiyeva, Mehriban Imanova, Vagif Ibrahimov
Applied Mathematics & Information Sciences
As is known, the solution of some problems of ecology, geophysics, nuclear physics, the study of some seasonal distribution of the disease and so on, reduced to solving of integro-differential equations of higher order. Note that solving of these equations can be reduced to solving system of integro-differential equations of the first order. However, special techniques adapted to solving of equations of higher order are usually effective. So here is investigated the numerical solution of integro-differential equations of second order. Prove that there are methods specially adapted to solving of integro-differential equations of second order, which are more accurate than …
Distribution And Survival Functions And Application In Intuitionistic Random Approximation, R. Saadati, Th. M. Rassias, Y. J. Cho, Z. H. Wang
Distribution And Survival Functions And Application In Intuitionistic Random Approximation, R. Saadati, Th. M. Rassias, Y. J. Cho, Z. H. Wang
Applied Mathematics & Information Sciences
In this paper, first, we consider the distribution and survival functions. Next, we define intuitionistic random j-normed spaces which improve and generalize the definition of an intuitionistic Menger space. As an application, we prove the stability of some functional equations in intuitionistic random j-normed spaces by the modified method which provides a better estimation.
Priority-Based Divisible Load Scheduling Using Analytical Hierarchy Process, Shamsollah Ghanbari, Mohamed Othman, Mohd Rizam Abu Bakar, Wah June Leong
Priority-Based Divisible Load Scheduling Using Analytical Hierarchy Process, Shamsollah Ghanbari, Mohamed Othman, Mohd Rizam Abu Bakar, Wah June Leong
Applied Mathematics & Information Sciences
The divisible load scheduling is a paradigm in the area of distributed computing. The traditional divisible load theory is based on the fact that, the communications and computations are obedient and do not cheat the algorithm. The literature of review shows that the divisible load model fail to achieve its optimal performance, if the processors do not report their true computation rates. The divisible load scheduling with uncertain communication rates has not been considered in the existing research. This problem lead us to propose a priority based divisible load scheduling method. The goal is to decrease the negative effects of …
Generating A Complex Form Of Chaotic Pan System And Its Behavior, Ahmed A. M. Farghaly
Generating A Complex Form Of Chaotic Pan System And Its Behavior, Ahmed A. M. Farghaly
Applied Mathematics & Information Sciences
In this article we introduce a new chaotic five dimensional (5D) continuous autonomous system involving complex variables,via 3D Pan system[Pan et al 2010]. The basic dynamical properties of the new system are analyzed such as equilibrium points, eigenvalues structures, and maximal Lyapunov exponent. We propose an approach for controlling chaotic attractor of this system by adding a complex periodic forcing. Computer simulations are calculated to study the behavior of this system.
A Special High Order Runge-Kutta Type Method For The Solution Of The Schr ¨Odinger Equation, Jing Ma, T. E. Simos
A Special High Order Runge-Kutta Type Method For The Solution Of The Schr ¨Odinger Equation, Jing Ma, T. E. Simos
Applied Mathematics & Information Sciences
A Runge-Kutta type eighth algebraic order two-step method with phase-lag and its first, second and third order derivatives equal to zero is produced in this paper. We will also investigate how the above described elimination of the phase-lag and its derivatives effects on the efficiency of the method. More specifically we will study the following: (1) the production of the method, (2) the local truncation error of the new obtained method and a comparative local truncation error analysis using other similar methods of the literature, (3) the interval of periodicity i.e the stability of the developed method using frequency for …
On The Universality Of N-Bit Reversible Gate Libraries, Ahmed Younes
On The Universality Of N-Bit Reversible Gate Libraries, Ahmed Younes
Applied Mathematics & Information Sciences
Many universal reversible libraries of gates that contain more than one gate type have been proposed in the literature. Synthesis of reversible circuits is much simpler and more practical if a single gate type is used in the circuit construction. This paper proposes a novel reversible n-bit gate that is universal for reversible circuits synthesis. The proposed gate is extendable according to the number of bits in the circuit. The paper shows that the size of the synthesized circuits using the proposed gate is comparable with the size of the synthesized circuits using the known reversible libraries of gates.
Pts And Modified Clipping Joint Algorithms For Papr Reduction In Ofdm-Qam System, Zhen He, Jianping Wang, Jing Yan, Haitao Xu
Pts And Modified Clipping Joint Algorithms For Papr Reduction In Ofdm-Qam System, Zhen He, Jianping Wang, Jing Yan, Haitao Xu
Applied Mathematics & Information Sciences
As one of the most attractive techniques, partial transmit sequence (PTS) provides an effective solution for peak-to-average power ratio (PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems, however, results in large computational complexity simultaneously. Compared to PTS, clipping provides a simpler way towards a better PAPR performance, whereas results in degradation of the bit error rate (BER) performance. In this paper, we proposed two joint algorithms called quantization clipping (QC) and recoverable clipping (RC), which combined PTS with modified Clipping schemes. The proposed schemes achieve a better exploitation of advantages, simulation results show that the proposed joint algorithms do …
Analysis Of Dss Queries Using Entropy Based Restricted Genetic Algorithm, Manik Sharma, Gurvinder Singh, Rajinder Singh, Gurdev Singh
Analysis Of Dss Queries Using Entropy Based Restricted Genetic Algorithm, Manik Sharma, Gurvinder Singh, Rajinder Singh, Gurdev Singh
Applied Mathematics & Information Sciences
Optimization is one of the dominant research areas in the field of different subjects viz. Mathematics, Computer Science, Business and Economics.In this paper, an effort has been made to optimize a Decision Support System (DSS) query by using the concept of Exhaustive Enumeration Approach, Dynamic Programming, Genetic Algorithm and Entropy based Genetic Algorithm.The results of different query optimization approaches viz. Exhaustive Enumeration (EA), Dynamic Programming (DP), Restricted Exhaustive Enumeration (REA), Simple Genetic Approach (SGA), Entropy Based Restricted Genetic Approach (ERGA) and (HC-ERGA) Havrda- Charvat Entropy Based Restricted Genetic Approach are compared with each other on the basis of Total Costs, …
On Α∗-Ψ-Contractive Multi-Valued Operators In B-Metric Spaces And Applications, Monica-Felicia Bota, Veronica Ilea, Erdal Karapınar, Oana Mleşnițe
On Α∗-Ψ-Contractive Multi-Valued Operators In B-Metric Spaces And Applications, Monica-Felicia Bota, Veronica Ilea, Erdal Karapınar, Oana Mleşnițe
Applied Mathematics & Information Sciences
In this paper, we will prove some existence and uniqueness theorems for a∗-y contractive type operators defined over bmetric spaces. In particular, we will provide results related to Ulam-Hyers stability, well-posedness and limit shadowing. The theorems presented will extend, generalize or unify several statements currently exist in the literature on those topics.We will also give examples to illustrate the applications our results.
New Reversible Data Hiding Scheme For Encrypted Images Using Lattices, Young-Sik Kim, Kyungjun Kang, Dae-Woon Lim
New Reversible Data Hiding Scheme For Encrypted Images Using Lattices, Young-Sik Kim, Kyungjun Kang, Dae-Woon Lim
Applied Mathematics & Information Sciences
Reversible data hiding is a technique to hide arbitrary data, without influencing the original images. In 2011, Zhang proposed a reversible data hiding scheme for encrypted images, by using a spatial correlation of the decrypted original image. Later, Hong et al. proposed an improved scheme by using side-match techniques, and modifying the correlation calculation function. In this paper, we propose an improved reversible data hiding scheme for encrypted images with lower bit error rates with the same PSNR (Peak Signalto- Noise Ratio), by introducing a lattice pattern to confine pixels to be used for embedding, and modifying the correlation calculation …
Social Recommendation With Biased Regularization, Xiang Hu, Wendong Wang, Xiangyang Gong, Bai Wang, Xirong Que, Hongke Xia
Social Recommendation With Biased Regularization, Xiang Hu, Wendong Wang, Xiangyang Gong, Bai Wang, Xirong Que, Hongke Xia
Applied Mathematics & Information Sciences
Although recommendation systems are the most important methods for resolving the ”information overload” problem, majority of them are beset by their inherent flaws.With the recent emergence of online social networks, the increasing social information has offered opportunities to relieve these flaws. In this paper, a new matrix factorization based social recommendation method is proposed, in which social relations and the rating habit are integrated into the objective function via appending additional penalty term and bias term to classic probabilistic matrix factorization model. In order to involve more social information into traditional recommendation system, the proposed method adopt the social similarity …
Contracting Quadratic Operators Of Bisexual Population, Nasir N. Ganikhodjaev, Uygun U. Jamilov
Contracting Quadratic Operators Of Bisexual Population, Nasir N. Ganikhodjaev, Uygun U. Jamilov
Applied Mathematics & Information Sciences
In this paper we find a sufficient condition under which the operator of bisexual population is contraction and show that this condition is not necessary.
Using An Oblique Projection Operator For Highly Correlated Signal Direction-Of-Arrival Estimations, Chien-Chou Lin
Using An Oblique Projection Operator For Highly Correlated Signal Direction-Of-Arrival Estimations, Chien-Chou Lin
Applied Mathematics & Information Sciences
In this paper, a high-resolution direction-of-arrival (DOA) estimation algorithm is proposed for highly correlated signals. This algorithm is divided into two stages. In Stage 1, a high-resolution method of DOA estimation using an oblique projection operator was applied to estimate the DOA of highly correlated signals. In Stage 2, because estimations obtained in highly correlated signal environments are prone to bias, a beamspace was built near the estimated angles from Stage 1 to reduce DOA bias. Next, the oblique projection operator was used on the beamspace to determine the characteristics of the signal source DOAs on a spatial spectrum for …
Algebraic Calculation Algorithm With Some Assisting Techniques For Petrochemical Pipe Network Simulation, Jun Sun, Beike Zhang, Xin Ma, Chongguang Wu
Algebraic Calculation Algorithm With Some Assisting Techniques For Petrochemical Pipe Network Simulation, Jun Sun, Beike Zhang, Xin Ma, Chongguang Wu
Applied Mathematics & Information Sciences
In industry scene, it is complex pipe networks connect various unit equipments together to be a whole system. Similarly, in simulation plant and platform, correct and efficient calculation of pipe networks is the key point to connect each simulation model of independent unit equipment together. But due to the weakness of time-consuming, the traditional methods, which do pipe network calculation by iteration and trial -error method to solve nonlinear equations are no longer available. Borrowing ideas from the circuit theory, using Approximate Linearization and superposition principle, we presented an algebraic pipe network calculation method in this paper. And both Complex …
Knowledge Management Framework Using Green It To Implement Sustainable Entrepreneur Ecosystem, Mueen Uddin, Roop Chand Hindu, Raed Alsaqour, Asadullah Shah, Adamu Abubakar, Tanzila Saba
Knowledge Management Framework Using Green It To Implement Sustainable Entrepreneur Ecosystem, Mueen Uddin, Roop Chand Hindu, Raed Alsaqour, Asadullah Shah, Adamu Abubakar, Tanzila Saba
Applied Mathematics & Information Sciences
A strategy of ecosystem and green management practices to develop a sustainable entrepreneur ecosystem is at once an obliging and baffling pretend for growing enterprises. This strategy must be studied thoroughly to create a concern among stakeholders and dealing with composite impact of their practicalities on the ecosystem. The finding presented in this paper explores specific sustainability issue being confronted by stakeholders throughout globe to implement sustainable entrepreneur ecosystem by using ecofriendly techniques and practices.We highlight a deep and through analysis of different gainsays confronted by top business enterprises within the area of a knowledge management framework using green IT …
Global Solvability Of A Continuous And Restricted Coagulation Process In A Moving Medium, Emile Franc Doungmo Goufo, Suares Clovis Oukouomi Noutchie
Global Solvability Of A Continuous And Restricted Coagulation Process In A Moving Medium, Emile Franc Doungmo Goufo, Suares Clovis Oukouomi Noutchie
Applied Mathematics & Information Sciences
In this paper, existence and uniqueness of a global solution to continuous, non-common and non-linear convectioncoagulation equations are investigated by means of various techniques. The method of characteristics (Mizohata, 1973), substochastic methods and Kato-Voigt pertubation (Banasiak et al., 2006) are exploited to show that the linear operator (transport-coagulation ) is the infinitesimal generator of a strongly continuous semigroup. Then, uniqueness of the solution to the full nonlinear problem follows by showing that the coagulation term is globally Lipschitz, hereby addressing the problem of existence and uniqueness for the combined coagulation and transport processes.
Probabilistic Dangling References Of Imperative And Object-Oriented Multi-Core Programs, Mohamed A. El-Zawawy
Probabilistic Dangling References Of Imperative And Object-Oriented Multi-Core Programs, Mohamed A. El-Zawawy
Applied Mathematics & Information Sciences
Speculative optimizers of modern compilers are designed on techniques for probabilistic static analyses of programs. For imperative and object-oriented multi-core programs, this paper focuses on the problem of revealing probabilistic dangling references. This important problem is treated in this paper via type systems. Besides being simply structured, the type systems provide suitable frameworks for proof-carrying code applications. One class of such applications is that ofmobile codes having limited resources.Using the proposed technique, each analysis case is supported by a correctness proof in the form of a type derivation. Most important concurrent constructs such as fork-join constructs, conditionally spawned cores, and …
Novel Fragile Watermarking Scheme Using An Artificial Neural Network For Image Authentication, Yu-Cheng Fan, Yu-Yao Hsu
Novel Fragile Watermarking Scheme Using An Artificial Neural Network For Image Authentication, Yu-Cheng Fan, Yu-Yao Hsu
Applied Mathematics & Information Sciences
This paper presents a novel fragile watermarking scheme based on an artificial neural network (ANN). The fragile watermark is designed according to the characteristics of the original image. If the image is modified, the alteration can be detected via the fragile watermark without original image. Based on the type of alteration, we can determine what modifications have been performed. An artificial neural network is used to analyze the modifications. The experimental results show that the proposed method can detect tampering, locate where the tampering has occurred, and recognize what kind of alteration has occurred. This method has a high success …
A New Pyroelectric Sensor System For Target Detection And Recognition, Sun Qiao, Yang Wei, Zhang Wendong
A New Pyroelectric Sensor System For Target Detection And Recognition, Sun Qiao, Yang Wei, Zhang Wendong
Applied Mathematics & Information Sciences
In this paper, a novel method using a dynamic pyroelectric infrared (PIR) sensor to detect and identification themoving target is presented. The sensor equipped with an infrared lens acts as an optical setup for this system, which is driven by a uniformly rotating device, a single detector can collect into infrared signals within a range of 360◦. The method solves the problems that improving the (PIR) sensor’s detection range will inevitably reduce the detection distance and increasing the detection distance will inevitably decrease the detection range. Experimental results show that (PIR) detector in regular running state can monitor a wide …
Two-Strain Ecoepidemic Systems: The Obligated Mutualism Case, Chiara Bosica, Alessandra De Rossi, Noemi Lucia Fatibene, Matteo Sciarra, Ezio Venturino
Two-Strain Ecoepidemic Systems: The Obligated Mutualism Case, Chiara Bosica, Alessandra De Rossi, Noemi Lucia Fatibene, Matteo Sciarra, Ezio Venturino
Applied Mathematics & Information Sciences
We present a model for obligated mutualistic associations, in which two transmissible diseases are allowed to infect just one population. As the general model proves too hard to be fully analytically investigated, some special cases are analysed. Among our findings, the coexistence of the two strains does not appear possible, under the model assumptions. Furthermore, in particularly unfavorable circumstances the ecosystem may disappear. In this respect, an accurate computation of the basin of attraction of the origin is provided using novel techniques. For this obligated mutualistic system the presence of the diseases appears to be less relevant than in many …
A Comparison Of Paralindelof Type Properties In Bitopological Spaces, Hend Bouseliana, Adem Kılıçman
A Comparison Of Paralindelof Type Properties In Bitopological Spaces, Hend Bouseliana, Adem Kılıçman
Applied Mathematics & Information Sciences
An implication of (i, j)-paralindelof spaces with (i, j)-normal and (i, j)-collectionwise normal space has been studied. We introduce the new definitions of the normal concept in bitopological setting namely (i, j, j)-normal spaces and (i, j) j-normal spaces. When the pairwise paralindelof space implies pairwise Lindelof is investigated. Furthermore, the concepts of para-m-Lindelof and m-Lindelof have been extended to bitopological setting. Also, we study the relation of (i, j)-para-m-Lindelof and (i, j)-m-Lindelof.
Existence And Uniqueness For A Solution Of Pseudohyperbolic Equation With Nonlocal Boundary Condition, Ahcene Merad, Abdelfatah Bouziani, Serkan Araci
Existence And Uniqueness For A Solution Of Pseudohyperbolic Equation With Nonlocal Boundary Condition, Ahcene Merad, Abdelfatah Bouziani, Serkan Araci
Applied Mathematics & Information Sciences
Motivated by a number of recent investigations, we define and investigate the various properties of a class of pseudohyperbolic equation defined on purely integral (nonlocal) conditions. We derive useful results involving this class including (for example) existence, uniqueness and continuous arising from the Laplace transform method. In addition, we make use of obtaining such a problem to solve the using a numerical technique (Stehfest algorithm) which provides to show the accuracy of the proposed method.
Two-Step Methods For Variational Inequalities On Hadamard Manifolds, Muhammad Aslam Noor, Khalida Inayat Noor
Two-Step Methods For Variational Inequalities On Hadamard Manifolds, Muhammad Aslam Noor, Khalida Inayat Noor
Applied Mathematics & Information Sciences
In this paper, we suggest and analyze a two-step method for solving the variational inequalities on Hadamard manifold using the auxiliary principle technique. The convergence of this new method requires only the partially relaxed strongly monotonicity, which is a weaker condition than monotonicity. Results can be viewed as refinement and improvement of previously known results.
A Heavy Metals Morphology Prediction Modelling Method Based On Jm-Gep, Yongqiang Zhang, Junxia Li
A Heavy Metals Morphology Prediction Modelling Method Based On Jm-Gep, Yongqiang Zhang, Junxia Li
Applied Mathematics & Information Sciences
In this paper, an improved GEP (Gene Expression Programming based on Jumping Genes, JM-GEP) is proposed in consideration of the morphology of heavy metals (HM) changed over time, on which a new heavy metal prediction method has been put forward. Jumping operator is the key point to JM-GEP, in which the jumping operators use self-adaptive jumping probability to keep population diversity and study the convergence property of the optimal retention strategy. Aiming at the improved GEP, we raised a heavy metals modelling method based on JM-GEP. The simulation results show that the new model, compared with traditional methods, has excellent …
Two Generalized Soft Intersection Filters In Bl-Algebras, Xueling Ma, Jianming Zhan, Hee Sik Kim
Two Generalized Soft Intersection Filters In Bl-Algebras, Xueling Ma, Jianming Zhan, Hee Sik Kim
Applied Mathematics & Information Sciences
In this paper, we introduce the concepts of two generalized soft intersection filters of BL-algebras. Some characterizations of these soft intersection filters are discussed. In particular, the relationships among these soft intersection filters are established. This provides a new soft algebraic tool in many uncertainties problems.
Construction Of Exponentially Fitted Symplectic Runge-Kutta-Nystr?M Methods From Partitioned Runge-Kutta Methods, Th. Monovasilis, Z. Kalogiratou, T. E. Simos
Construction Of Exponentially Fitted Symplectic Runge-Kutta-Nystr?M Methods From Partitioned Runge-Kutta Methods, Th. Monovasilis, Z. Kalogiratou, T. E. Simos
Applied Mathematics & Information Sciences
In this work we derive exponentially fitted symplectic Runge-Kutta-Nystr¨om (RKN) methods from symplectic exponentially fitted partitioned Runge-Kutta (PRK) methods methods. We construct RKN methods from PRK methods with up to five stages and fourth algebraic order.
A Secret Sharing Scheme Based On Residue Class Ring, Selda Calkavur
A Secret Sharing Scheme Based On Residue Class Ring, Selda Calkavur
Applied Mathematics & Information Sciences
A (t,n)- threshold secret sharing scheme is a method for distributing a secret amongst a group of participants [1]. Each of participants is allocated a share of the secret. The secret can only be reconstructed when the shares are combined together [6]. In this paper, we propose a secret sharing scheme based on residue class ring Fp[x]/( f ), where p is a prime and deg( f ) = n. Then we call it a (pn −1, pn)− threshold secret sharing scheme.
Digital Cohomology Operations, Ozgur Ege, Ismet Karaca
Digital Cohomology Operations, Ozgur Ege, Ismet Karaca
Applied Mathematics & Information Sciences
In this paper, our aim is to study the digital version of Steenrod Algebra. For this purpose, we define the digital cohomology operations and deal with main properties of digital Steenrod squares. Moreover, some related results are given for digital images. We finally explain the theory with nice examples.
Automatic Threshold Level Set Model Applied On Mri Image Segmentation Of Brain Tissue, Ming Zhao, Hsiao-Yu Lin, Hsiao-Yu Lin, Chih-Hung Yang, Chih-Yu Hsu, Jeng-Shyang Pan
Automatic Threshold Level Set Model Applied On Mri Image Segmentation Of Brain Tissue, Ming Zhao, Hsiao-Yu Lin, Hsiao-Yu Lin, Chih-Hung Yang, Chih-Yu Hsu, Jeng-Shyang Pan
Applied Mathematics & Information Sciences
In the paper, a mathematical proof is given for a different mean of Chan and Vese model. Based on the proof, an image segmentation method called Automatic Threshold Level Set Without Edge was developed for the extraction of tissues in brain MR images. Thresholds are defined to find the boundary of tissues in the brain and they can be automatically obtained by Fuzzy C Mean algorithm. A similarity index (SI) is used for quantitative evaluation of the segmentation results. By testing MRI brain slice images and comparing to the ground truth of tissue segmentation, the mean and the variance of …