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Articles 1501 - 1530 of 2320
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Several Ways To Solve The Jaynes-Cummings Model, R. Ju?Rez-Amaro, A. Z??Iga-Segundo, H. M. Moya-Cessa
Several Ways To Solve The Jaynes-Cummings Model, R. Ju?Rez-Amaro, A. Z??Iga-Segundo, H. M. Moya-Cessa
Applied Mathematics & Information Sciences
We go through the several ways that the Jaynes-Cummings model, a cornerstone in the study of light-matter interactions, may be solved. We emphasize two not well known methods (one based on the London phase operator and the other one on the direct diagonalization of the Hamiltonian) considering that they may be of help for solving other systems like the interaction of light with a moving mirror, ion-laser interactions, etc.
Image Retrieval Based On Va-File And Multi-Resolution Bow, Wang Lipin, Pu Juncheng
Image Retrieval Based On Va-File And Multi-Resolution Bow, Wang Lipin, Pu Juncheng
Applied Mathematics & Information Sciences
By the virtue of BOF to describe high-dimensional data, in this article, we propose an effective retrieval strategy employing multi-resolution BOF to accelerate the match. The main idea is to improve the overall retrieval efficiency of BOF Descriptive Vector via the construction of BOF Low-resolution Vector and the comparison under low resolution to filter high-resolution candidate vectors. Based on stratified construction, we have improved uniform quantization multi-resolution BOF and proposed a non-linear Non-uniform quantization multi-resolution BOF method, which is combined with VA-file. At last, K-nearest neighbor retrieval algorithm is given. Experiments prove that this method has effectively increased the retrieval …
Utilizing Query By Example For Fast And Accurate Multimedia Retrieval, Saed Alqaraleh, Omar Ramadan
Utilizing Query By Example For Fast And Accurate Multimedia Retrieval, Saed Alqaraleh, Omar Ramadan
Applied Mathematics & Information Sciences
In this paper, several techniques have been introduced for improving the performance of Query-By-Example (QBE). First, a new crawler technique has been introduced to collect multimedia descriptive information. Second, a clustering technique is used for creating and updating multimedia databases. In addition, a new re-ranking algorithm which depends on the contents of the multimedia files and some user specific actions has been adapted. Furthermore, parallel technique has been used to decrease the query process time. Finally, elimination of duplicated files in multimedia query results has also been done. Several experiments have been studied and it has been observed that the …
Convergence Analysis Of Jacobi Pseudo-Spectral Method For The Volterra Delay Integro-Differential Equations, Zhang Xiao-Yong, Li Junlin
Convergence Analysis Of Jacobi Pseudo-Spectral Method For The Volterra Delay Integro-Differential Equations, Zhang Xiao-Yong, Li Junlin
Applied Mathematics & Information Sciences
The Jacobi pseudo-spectral method for the Volterra delay integro-differential equations of the second kind is proposed in this paper. We provide a rigorous error analysis for the proposed method, which indicates that the numerical errors (in the L2w a,b -norm and the L¥-norm ) will decay exponentially provided that the source function is sufficiently smooth. Numerical examples are given to illustrate the theoretical results.
A Modified Artificial Bee Colony Algorithm For Solving Least-Cost Path Problem In Raster Gis, Khalid A. Eldrandaly, Mohammed M. Hassan, Nabil M. Abdelaziz
A Modified Artificial Bee Colony Algorithm For Solving Least-Cost Path Problem In Raster Gis, Khalid A. Eldrandaly, Mohammed M. Hassan, Nabil M. Abdelaziz
Applied Mathematics & Information Sciences
The computation of least-cost paths over a cost surface is a well-known and widely used capability of raster geographic information systems (GISs). It consists of finding the path with the lowest accumulated cost between two locations in a raster model of a cost surface. This paper presents a modified Artificial Bee Colony (ABC) algorithm for solving least-cost path problem in a raster-based GIS. This modification includes the incorporation of a distinct feature which is not present in the classical ABC. A new component, the direction guidance search method, is used to guide a bee walking toward the final destination more …
Duality In Minimax Fractional Programming Problem Involving Nonsmooth Generalized (F,Α,P,D)-Convexity, Abdullah M. Al-Roqi
Duality In Minimax Fractional Programming Problem Involving Nonsmooth Generalized (F,Α,P,D)-Convexity, Abdullah M. Al-Roqi
Applied Mathematics & Information Sciences
In this paper, we discuss nondifferentiable minimax fractional programming problem where the involved functions are locally Lipschitz. Furthermore, weak, strong and strict converse duality theorems are proved in the setting of Mond-Weir type dual under the assumption of generalized (F,α,P,d)-convexity.
Modeling The Effects Of Myocardial Fiber Architecture And Material Properties On The Left Ventricle Mechanics During Rapid Filling Phase, Abdallah Hassaballah, Mohsen Hassan, Azizi Mardi, Mohd Hamdi
Modeling The Effects Of Myocardial Fiber Architecture And Material Properties On The Left Ventricle Mechanics During Rapid Filling Phase, Abdallah Hassaballah, Mohsen Hassan, Azizi Mardi, Mohd Hamdi
Applied Mathematics & Information Sciences
The objective of this research is to study the effects of myofiber volume fraction and fiber orientation on the deformation mechanics of left ventricular (LV) during diastole. The human LV was simulated by three-dimensional finite element (3D-FE) model. The LV geometrical model was represented as a thick-walled ellipsoid truncated at two thirds of major axis. 3D Fiber network, with parallel myofiber bundles to reproduce the globally anisotropic behavior of cardiac tissue, were embedded within the LV model. The LV wall thickness in the reference unstressed state (at hypothetical zero pressure applied inside the LV internal cavity) is divided into n …
The Second Order Commutative Pairs Of A First Order Linear Time-Varying System, Mehmet Emir Koksal
The Second Order Commutative Pairs Of A First Order Linear Time-Varying System, Mehmet Emir Koksal
Applied Mathematics & Information Sciences
Although several publications have been appeared about the commutativity of linear time-varying systems, no research has appeared so far on the evaluation of higher order commutative pairs of a low-order system. The attempt in this paper is to fill this vacancy partially by giving the explicit results for finding all the second order commutative pairs of a first order linear time-varying system. The derived theoretical results are verified by an example.
Solution Of The Schr?Dinger Equation For A Linear Potential Using The Extended Baker-Campbell-Hausdorff Formula, Francisco Soto-Eguibar, Héctor M. Moya-Cessa
Solution Of The Schr?Dinger Equation For A Linear Potential Using The Extended Baker-Campbell-Hausdorff Formula, Francisco Soto-Eguibar, Héctor M. Moya-Cessa
Applied Mathematics & Information Sciences
The time-dependent Schr¨odinger equation is solved for a linear potential using operational methods; in particular, an extension of the Baker-Campbell-Hausdorff formula is exposed and used. Several initial conditions are considered. A closed formfor the Wigner function is presented. The results can be extended to the propagation of an electromagnetic field in the paraxial approximation.
Artificial Neural Network Based Classification Of Lungs Nodule Using Hybrid Features From Computerized Tomographic Images, Sheeraz Akram, Muhammad Younus Javed, Usman Qamar, Aasia Khanum, Ali Hassan
Artificial Neural Network Based Classification Of Lungs Nodule Using Hybrid Features From Computerized Tomographic Images, Sheeraz Akram, Muhammad Younus Javed, Usman Qamar, Aasia Khanum, Ali Hassan
Applied Mathematics & Information Sciences
An automated pulmonary nodule detection system is necessary to help radiologist to identify and detect the nodules at early stage. In this paper, a novel pulmonary nodule detection system is proposed using Artificial Neural Networks (ANN) based on hybrid features consist of 2D and 3D Geometric and Intensity based statistical features. The lung volume is segmented using thresholding, 3D connected component labeling, contour correction and morphological operators. The candidate nodules are extracted and pruned based on the rules that are built using characteristics of nodules. The 2D and 3D Geometric features and Intensity Based Statistical features are extracted and used …
An Impulsive Sturm-Liouville Problem With Boundary Conditions Containing Herglotz-Nevanlinna Type Functions, A. Sinan Ozkan
An Impulsive Sturm-Liouville Problem With Boundary Conditions Containing Herglotz-Nevanlinna Type Functions, A. Sinan Ozkan
Applied Mathematics & Information Sciences
In this article, an impulsive Sturm–Liouville boundary value problem with boundary conditions contain Herglotz– Nevanlinna type rational functions of the spectral parameter is considered. It is shown that the coefficients of the problem are uniquely determined by either the Weyl function or by the Pr¨ufer angle or by the classical spectral data consist of eigenvalues and norming constants.
Fully Automatic Detections Of Abnormalities Of Brain Mr Images By Utilizing Spatial Information And Mathematical Morphological Operators, Arshad Javed, Wang Yin Chai, Abdulhameed Rakan Alenezi, Narayanan Kulathuramaiyer
Fully Automatic Detections Of Abnormalities Of Brain Mr Images By Utilizing Spatial Information And Mathematical Morphological Operators, Arshad Javed, Wang Yin Chai, Abdulhameed Rakan Alenezi, Narayanan Kulathuramaiyer
Applied Mathematics & Information Sciences
Image segmentation refers to the process of partitioning a digital image into multiple sets of pixels are known as segments. The main goal of image segmentation is to change and simplify the representation of an image into something that is more meaningful and easier to analyze. The manual transactions for segmentation by experts is a difficult phenomena and time consuming process as well as. Most of the images in the process received are lacking of good quality. The main objective of this study is to develop a reliable mechanism to enhance the image quality and extract the abnormal portion through …
Applications Of Adaptive Multi Step Differential Transform Method To Singular Perturbation Problems Arising In Science And Engineering, Essam R. El-Zahar
Applications Of Adaptive Multi Step Differential Transform Method To Singular Perturbation Problems Arising In Science And Engineering, Essam R. El-Zahar
Applied Mathematics & Information Sciences
In this paper, piecewise-analytical and numerical solutions of singular perturbation initial-value problems are obtained by an adaptive multi-step differential transform method (MsDTM). The principle of the method is introduced, and then applied to different types of practical problems arising in science and engineering. Analytical and numerical solutions are obtained using piecewise convergent series with easily computable components over a sequence of variable-length sub-intervals. Numerical results are compared to those obtained by the classical MsDTM and the Runge-Kutta method. The results demonstrate the reliability and efficiency of the method in solving the considered problems.
A Novel Way To Implement Wddl Logic To Resist Power Analysis Attack In Algorithm Level, Nianhao Zhu, Yujie Zhou, Hongming Liu
A Novel Way To Implement Wddl Logic To Resist Power Analysis Attack In Algorithm Level, Nianhao Zhu, Yujie Zhou, Hongming Liu
Applied Mathematics & Information Sciences
Power analysis attacks focus on recovering the secret key of a cryptographic core from measurements of its consumed power when the cryptographic core is in encryption or decryption process. This paper designs a complementary AES decryption algorithm which is implemented in hardware as a complementary counterpart of AES decryption engine to resist power analysis attack. The algorithm which is complementary to AES is denoted as CAES. CAES decryption engine can provide complementary power to AES decryption engine by emulating the ideal of wave dynamic differential logic (WDDL), a power balanced hardware gate style. CAES decryption algorithm is an algorithm level …
Entity Authentication Protocol For P2p Cloud Storage Based On Ternary Huffman Merkle Hash Tree, Ningning Song, Xianwei Zhou, Qian Liu
Entity Authentication Protocol For P2p Cloud Storage Based On Ternary Huffman Merkle Hash Tree, Ningning Song, Xianwei Zhou, Qian Liu
Applied Mathematics & Information Sciences
With the development and application of cloud computing, cloud storage is becoming more and more popular with many organizations, but traditional principal-minor structure for cloud storage is at risk of single point of failure. Moreover, it has brought safety risk. Cloud storage security has become the key problem of restricting the development of cloud computing. The paper has a deep research of cloud storage structure and cloud storage security, proposes a entity authentication protocol for P2P cloud storage based on ternary Huffman Merkle hash tree (HuffMHT).This method using the concept of ternary HuffMHT can obtain an effective safe strategy. At …
An Improved Algorithm For Product Conceptual Design Based On Quality Function Deployment, Wei Xiong, Yubing Yu, Juanli Wang
An Improved Algorithm For Product Conceptual Design Based On Quality Function Deployment, Wei Xiong, Yubing Yu, Juanli Wang
Applied Mathematics & Information Sciences
Conceptual design is the key to product innovation and it will decide the success or failure of the products. Quality function deployment (QFD) provides an open framework and systematic analytical method for product design and Kano model contributes to make different highlight of marketing, so the combination of the two can optimize product design and improve customer satisfaction and loyalty. The author develops an improved algorithm for product conceptual design which is based on the framework of QFD and integrated rough analytic hierarchy process (RAHP) and Kano, through the expansion of typical house of quality. The simulation application in conceptual …
Bcdr: Data Reuse Framework For Multi-Core Systems With Local Memories, Jue Wang, Yangang Wang
Bcdr: Data Reuse Framework For Multi-Core Systems With Local Memories, Jue Wang, Yangang Wang
Applied Mathematics & Information Sciences
Emerging heterogeneous multi-core systems, such as the IBM Cell BE, are deployed with multiple hardware accelerators to enhance the performance of the systems. In these systems, each accelerator includes its own local memory where software controlled DMA transfers are provided to utilize the memory bandwidth. Two important software controlled management methods (direct buffering and software controlled cache) are applied in regular and irregular references, respectively. The run-time coherence maintenance is performed when the same global memory location is referenced by both software controlled cache and buffer.This paper proposes a BCDR framework to exploit data reuse for buffers and software cache. …
A New Hybrid Modeling Method For Performance Digital Mock-Up Of Hypersonic Vehicle, Zhang Feng, Xue Hui-Feng
A New Hybrid Modeling Method For Performance Digital Mock-Up Of Hypersonic Vehicle, Zhang Feng, Xue Hui-Feng
Applied Mathematics & Information Sciences
For the characteristics that a hypersonic vehicle has a large span of flight height and flight Mach number, and complicated flight environment, the model of which is highly nonlinear, unstable and multivariablecoupled, where using a single modelling approach is often difficult to achieve high modeling accuracy, hybrid modeling method is proposed to design its performance digital mock-up. The performance digital mock-up hybrid model are designed by using fuzzy set theory, neural networks and system identification method based on combination of the three fuzzy neural network identification method and technology. The simulation results show that high modeling accuracy of this modeling …
Study On A New Video Scene Segmentation Algorithm, Shaofei Wu, Maozhu Jin
Study On A New Video Scene Segmentation Algorithm, Shaofei Wu, Maozhu Jin
Applied Mathematics & Information Sciences
A new video scene segmentation algorithm is proposed based on semantic overlapped shot linked algorithm in this paper. The video shot similarity is calculated by using multi-modality subspace correlation propagation. The experiments show that the video scene can be effectively separated by the method proposed in the paper, and theMAP values,Mvalues reached 50%, 83.4% respectively.
Modeling Of Mixed-Model Assembly System Based On Agent Oriented Petri Net, Minghai Yuan, Zhiyong Dai, Shuo Cheng, Aimin Ji
Modeling Of Mixed-Model Assembly System Based On Agent Oriented Petri Net, Minghai Yuan, Zhiyong Dai, Shuo Cheng, Aimin Ji
Applied Mathematics & Information Sciences
In this paper, a mixed-model assembly system is modeled using ATPN (agent oriented timed Petri net) based on assembly resources classification. Firstly, the basic concepts and definition of ATPN is described. Secondly, with ATPN method introduced into mixed-model system research the modeling of a mixed-model assembly system is discussed. The development of an ATPN model for a MMAS consists of four phases: (1) agent-oriented assembly resources classification of MMAS, (2) development of universal ATPN model of each kind of assembly resource, (3) construction ofmixed-model assembly cell centering about assembly robots or humans, (4) construction of the MMAS model based on …
Nonlinear Lattice Solitons In Saturable Media, İzzet G?Ksel, İlkay Bakırtaş, Nalan Antar
Nonlinear Lattice Solitons In Saturable Media, İzzet G?Ksel, İlkay Bakırtaş, Nalan Antar
Applied Mathematics & Information Sciences
Using computational methods, the numerical existence and nonlinear stability of fundamental solitons in saturable media on crystal and certain type of quasicrystal lattices are investigated. In a certain parameter regime of the lattice depth and the propagation constant, the first nonlinear band-gap structures are obtained and the effect of the DC bias field (external electric field) and the lattice depth to the gap width are analyzed.
Moving Target Tracking Based On Camshift Approach And Kalman Filter, Shao-Fan Lien, Kuo-Hsien Hsia, Juhng-Perng Su
Moving Target Tracking Based On Camshift Approach And Kalman Filter, Shao-Fan Lien, Kuo-Hsien Hsia, Juhng-Perng Su
Applied Mathematics & Information Sciences
The surveillance system has been developed for decades. It reduced the crime and protected the lives and properties of people successfully. Some surveillance system are composed of PTZ cameras. Therefore the moving people or target objects could be tracking by the surveillance system. The surveillance system becomes more and more interment. However, there are two problems occurred, target recognition and target shelter, respectively. In this paper, we proposed the method of tracking a moving object for improving the performance of intelligent surveillance system. The method combined CamShift and Kalman filter for tracking the moving object in a complex background or …
On Continuity Of Soft Mappings, İdris Zorlutuna, Hatice Cakır
On Continuity Of Soft Mappings, İdris Zorlutuna, Hatice Cakır
Applied Mathematics & Information Sciences
In this paper, we give some new characterizations of soft continuity, soft openness and soft closedness of soft mappings. We study restriction of a soft mapping and generalize the pasting lemma to the soft topological spaces. We also investigate the behavior of soft separation axioms under the soft continuous, open and closed mappings.
A Novel Tone Mapping Method For High Dynamic Range Image By Incorporating Edge-Preserving Filter Into Method Based On Retinex, Erhu Zhang, Huiyun Yang, Maiping Xu
A Novel Tone Mapping Method For High Dynamic Range Image By Incorporating Edge-Preserving Filter Into Method Based On Retinex, Erhu Zhang, Huiyun Yang, Maiping Xu
Applied Mathematics & Information Sciences
A tone mapping method for high dynamic range image is proposed to prevent the halo artifacts, which is easy to be produced in traditional method based on the Retinex theory in handling high dynamic range(HDR) image. Our method is based on the Retinex theory. The novelties of our method is first to employ a local edge-preserving filter for the estimation of the illumination, which can smooth out the small-scale details while the large-scale edges are retained. Second, the filter is incorporated into the method based on MSR algorithm, in which the Gaussian filter is replaced by this filter in order …
A Wideband Spectrum Data Compression Algorithm Base On Energy Detection, Zhoujin Tang, Tao Peng
A Wideband Spectrum Data Compression Algorithm Base On Energy Detection, Zhoujin Tang, Tao Peng
Applied Mathematics & Information Sciences
In cognitive radio systems, interactive perception spectrum data between cognitive users can effectively improve the overall performance of the user’s perception of communication. However, a large number of spectrum data accumulation will increasing the consumption of resources during interaction, lack of effective spectrum data compression algorithm cognition become a bottleneck restricting the collaboration. This paper presents a wideband spectrum data compression algorithm based on the energy detection and sliding window, removing redundant information of noise, compressing the detail of signal with different weights, reserving useful information, improving the compression ratio and reducing compression loss. In addition, the algorithm retains the …
A Multi-Agent Computing Approach For Power System Production Simulation, Duan Wei, Hu Zhaoguang, Yao Mingtao, Zhou Yuhui
A Multi-Agent Computing Approach For Power System Production Simulation, Duan Wei, Hu Zhaoguang, Yao Mingtao, Zhou Yuhui
Applied Mathematics & Information Sciences
Along with the development of smart grid, demand response becomes the key character of it. Traditional method is unable to simulate the effect of the demand response to the power system operation. Intelligent engineering theory provides us a useful tool to address such difficulty. Based on the intelligent engineering, kinds of demand response resource are integrated and treated as efficiency power plant (EPP), an power system production simulation method with the multi agent computing approach is presented to simulate the EPP, among which generation agent (GA), efficiency power plant (EPPA),as well as the coordination agent(CA) is established. CA make the …
A New Zone Disjoint Multi Path Routing Algorithm To Increase Fault-Tolerant In Mobile Ad Hoc Networks, Hoda Rafiee Pour, Marjan Kuchaki Rafsanjani, Hamid Saadat
A New Zone Disjoint Multi Path Routing Algorithm To Increase Fault-Tolerant In Mobile Ad Hoc Networks, Hoda Rafiee Pour, Marjan Kuchaki Rafsanjani, Hamid Saadat
Applied Mathematics & Information Sciences
In Mobile Ad-hoc Networks, there is no fixed infrastructure, router and station and so all network operations such as routing are being done with nodes. Some routing algorithms of Mobile Ad-hoc Networks perform routing in a multi-path manner and simultaneously discover and record a number of paths in a path discovery process. In these algorithms, it is possible to send information to destination concurrently using several paths, in order to balance the load in the network, increase end to end bandwidth, and decrease delay. In this case, selecting node disjoint paths is one of the best options because of increasing …
Sensitivity Analysis Of Inefficient Supply Chains, M. Sanei, Sh. Banihashemi, F. Sourani
Sensitivity Analysis Of Inefficient Supply Chains, M. Sanei, Sh. Banihashemi, F. Sourani
Applied Mathematics & Information Sciences
The present study is an attempt toward improving the performance of members of supply chain. Improvement of two-stage supply chains is three cases. Inefficients suppliers are improved or inefficient manufactures are improved or both of them are improved. First, New sub-perfect supply chain production possibility set is obtained with efficiency score of a for inefficient suppliers and only all DEA inefficient suppliers are improved. It is proved that as the efficiency score of all points on the main frontier supposed to be 1, the efficiency score on the new frontier is a .Second the procedure is applied for those supply …
Inclusion Properties With Applications For Certain Subclasses Of Analytic Functions, Khalida Inayat Noor, Muhammad Aslam Noor, Rashid Murtaza
Inclusion Properties With Applications For Certain Subclasses Of Analytic Functions, Khalida Inayat Noor, Muhammad Aslam Noor, Rashid Murtaza
Applied Mathematics & Information Sciences
Using convolution and subordination concepts, we define some new subclasses of analytic functions and study their properties including inclusion relations and radius problems. Several applications related to conic domains and certain integral operators are also given. Results obtained in this paper may motivate further research in this dynamic and fascinating field.
Group Classification, Symmetry Reductions And Exact Solutions Of A Generalized Korteweg-De Vries-Burgers Equation, Abdullahi Rashid Adem, Chaudry Masood Khalique, Motlatsi Molati
Group Classification, Symmetry Reductions And Exact Solutions Of A Generalized Korteweg-De Vries-Burgers Equation, Abdullahi Rashid Adem, Chaudry Masood Khalique, Motlatsi Molati
Applied Mathematics & Information Sciences
Lie group classification is performed on the generalized Korteweg-de Vries-Burgers equation ut +d uxxx +g(u)ux −nuxx + g u= f (x), which occurs in many applications of physical phenomena. We show that the equation admits a four-dimensional equivalence Lie algebra. It is also shown that the principal Lie algebra consists of a single translation symmetry. Several possible extensions of the principal Lie algebra are computed and their associated symmetry reductions and exact solutions are obtained. Also, one-dimensional optimal system of subalgebras is obtained for the case when the principal Lie algebra is extended by two symmetries.