Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Stability (21)
- Convex functions (19)
- Genetic algorithm (18)
- Fixed point (16)
- Classification (13)
-
- Optimization (13)
- Clustering (11)
- Convergence (11)
- Data mining (11)
- Simulation (11)
- Authentication (10)
- Cloud computing (10)
- Magnetic field (10)
- Maximum likelihood estimation (10)
- Optimal control (10)
- Cloud Computing (9)
- Prediction (9)
- Soft set (9)
- Chaos (8)
- Fractional calculus (8)
- Genetic Algorithm (8)
- Initial value problems (8)
- Moments (8)
- Multistep (8)
- Particle swarm optimization (8)
- Security (8)
- Symmetric (8)
- Time delay (8)
- Variational inequalities (8)
- Wireless sensor networks (8)
Articles 2041 - 2070 of 2320
Full-Text Articles in Entire DC Network
Real-Time Subsurface Scattering For Particle-Based Fluids Using Finite Volume Method, Kyung-Kyu Kang, Dongho Kim
Real-Time Subsurface Scattering For Particle-Based Fluids Using Finite Volume Method, Kyung-Kyu Kang, Dongho Kim
Applied Mathematics & Information Sciences
We present a real-time subsurface scattering simulation to perform real-time rendering of translucent particle-based fluids. After particle-based fluid simulation, we immediately build voxelized fluids, called Voronoi fluids, with particle locations and neighbour lists using GPUs. And then, we perform a multiple subsurface scattering simulation over the Voronoi fluids with the diffusion equation (DE). We employ Finite Volume Methods to solve DE efficiently and rapidly with the voxelized fluids. In our implementation, DE is solved on GPUs with the diffusive source boundary condition and query function for computing the outgoing radiance.We demonstrate a milk demo that show our method can be …
A Combined Mle And Generalized P Chart Approach To Estimate The Change Point Of A Multinomial Process, Chia-Ding Hou, Yuehjen E. Shao, Sheng Huang
A Combined Mle And Generalized P Chart Approach To Estimate The Change Point Of A Multinomial Process, Chia-Ding Hou, Yuehjen E. Shao, Sheng Huang
Applied Mathematics & Information Sciences
Correct and quick identification of the change point of a process shift is very important for process improvement. Although several studies have been devoted to the estimation of the change point of the process shifts for a univariate process, little research has been done on a multivariate process, particularly for a multivariate process where the quality characteristics cannot be measured in a numerical scale. In this study, an effective approach that combines the method of maximum likelihood and the generalized p control chart is developed to estimate the starting time of a process disturbance for a multinomial process. An illustrative …
Study The Behavior Of Vortex-Antivortex Bundles In He Ii, Sultan Z. Alamri
Study The Behavior Of Vortex-Antivortex Bundles In He Ii, Sultan Z. Alamri
Applied Mathematics & Information Sciences
We present a numerical simulation to compute the evolution of vortex filaments bundle in superfluid helium. We show that the vortex-antivortex bundles with sinusoidally have stable structures and each bundle rotates about its common center. Because of they have circulation in opposing directions, the two vortex bundles move down together parallel to each other. A three dimensional periodic cube is used. Thus, the vortex filament points move through one side of the periodic volume and re-entering on the other side. The two bundles move for long time without reconnection. We found that our results are in agreement with the finding …
A Multilevel Control Iterative Method For Nonlinear Partial Different Equations, Xiaoyan Deng, Hong Gao
A Multilevel Control Iterative Method For Nonlinear Partial Different Equations, Xiaoyan Deng, Hong Gao
Applied Mathematics & Information Sciences
The multilevel iterative method consists of the iterative systems associated with different levels, the solution in coarse level is in essence used as the initial guess of the iterative system in refined level. Since the different iterative targets, one doesn’t guarantee that an excellent coarse level solution provides better starting point than a bad one for the refined level system. To decrease computational cost a natural idea is to control the iterative times in coarse levels. The objective of this paper is to propose a multilevel iterative method for nonlinear partial different equations. In which a controlling parameter that can …
Slowing Light Control For A Soliton-Pair, N. Boutabba, H. Eleuch
Slowing Light Control For A Soliton-Pair, N. Boutabba, H. Eleuch
Applied Mathematics & Information Sciences
We investigate the propagation of a soliton-pair in 3-level atomic system out of resonance. We present an explicit analytical expression of the soliton-pair shape. We show that the speed of the soliton-pair can be controlled. Furthermore, we derive a condition for completely stopping the light.
Identity Concealment Of Brain Images By Masking, Ruoyu Du, Hyo Jong Lee
Identity Concealment Of Brain Images By Masking, Ruoyu Du, Hyo Jong Lee
Applied Mathematics & Information Sciences
In this paper, a novel method of concealment of facial information was proposed to protect the patient’s privacy. It consists with two steps: the construction of a standard brain template and substitution of the template to a new brain image data. Fifteen medical brain images are used to build the standard brain template. Registration and normalization procedures are applied to construct the standard brain templates by using B-Spline registration. Segmentation is used to substitute the original image for the template image and brain extraction. Canny-edge Level set segmentation algorithm is applied to segment a scalp-skull part from a whole brain …
Mathematical Models Of Polimerization Processes, Aiman Ospanova,, Meruyert Berdiyeva, Tamara Zhukabayeva
Mathematical Models Of Polimerization Processes, Aiman Ospanova,, Meruyert Berdiyeva, Tamara Zhukabayeva
Applied Mathematics & Information Sciences
The work presents a new approach of modeling industrial reactors to receive polymer plastics. The efficient method of identifying stochastic model is suggested, at which unaccounted chance factors are presented as integrated disturbances. The models, received at which allow to take into consideration both the structure of flows in reactors and kinetic peculiarities of the process.
Large Scale Linear Programming In The Windows And Linux Computer Operating Systems, Saeed Ketabchi, Hossein Moosaei, Hossein Sahleh, Mohammad Hedayati
Large Scale Linear Programming In The Windows And Linux Computer Operating Systems, Saeed Ketabchi, Hossein Moosaei, Hossein Sahleh, Mohammad Hedayati
Applied Mathematics & Information Sciences
In this study, calculations necessary to solve the large scale linear programming problems in two operating systems, Linux and Windows 7 (Win), are compared using two different methods. Relying on the interior-point methods, linear-programming interior point solvers (LIPSOL) software was used for the first method and relying on an augmented Lagrangian method-based algorithm, the second method used the generalized derivative. The performed calculations for various problems show the produced random in the Linux operating system (OS) andWin OS indicate the efficiency of the performed calculations in the Linux OS in terms of the accuracy and using of the optimum memory.
Fuzzy Ontology For Distributed Document Clustering Based On Genetic Algorithm, M. Thangamani, P. Thangaraj
Fuzzy Ontology For Distributed Document Clustering Based On Genetic Algorithm, M. Thangamani, P. Thangaraj
Applied Mathematics & Information Sciences
The availability of large quantity of text documents from theWorldWideWeb and business document management systems has made the dynamic separation of texts into new categories as a very important task for every business intelligence systems. But, present text clustering algorithms still suffer from problems of practical applicability. Recent studies have shown that, in order to improve the performance of document clustering, ontologies are useful. Ontology is nothing but the conceptualization of a domain into an individual identifiable format, but machine-readable format containing entities, attributes, relationships and axioms. By analyzing all types of techniques for document clustering, a clustering technique depending …
Fractional Riccati Equation Rational Expansion Method For Fractional Differential Equations, Yongfeng Zhang, Qinghua Feng
Fractional Riccati Equation Rational Expansion Method For Fractional Differential Equations, Yongfeng Zhang, Qinghua Feng
Applied Mathematics & Information Sciences
In this paper, a new fractional Riccati equation rational expansion method is proposed to establish new exact solutions for fractional differential equations. For illustrating the validity of this method, we apply it to the nonlinear fractional Sharma-Tasso- Olever (STO) equation, the nonlinear time fractional biological population model and the nonlinear fractional foam drainage equation. Compared with the existing results in the literature, more exact solutions are obtained by the proposed method. We also illustrate the application of the established exact solutions.
Robust Fhpd Features From Speech Harmonic Analysis For Speaker Identification, Shuiping Wang, Zhenmin Tang, Ye Jiang, Ying Chen
Robust Fhpd Features From Speech Harmonic Analysis For Speaker Identification, Shuiping Wang, Zhenmin Tang, Ye Jiang, Ying Chen
Applied Mathematics & Information Sciences
Speaker identification accuracy decreases significantly in the presence of additive noise. In this paper, we propose a robust speech feature extraction method, which is based on the harmonic structure of voiced segments. The robust features are composed of fundamental and harmonic peak data from short-time spectrum. These features are evaluated by thirty speaker data from TIMIT database and additive noise signals from NOISEX-92 database with clean training and noisy testing samples. Results reflect that under low SNR (signal-to-noise ratio) environments new features achieve better performance than conventionalMFCC (Mel-Frequency Cepstral Coefficients) parameters.
Modeling And Simulation Of The Artificial Stock Market Trading System, Jinchuan Ke, Yuan Chen
Modeling And Simulation Of The Artificial Stock Market Trading System, Jinchuan Ke, Yuan Chen
Applied Mathematics & Information Sciences
By means of computer simulation technique, this paper builds an artificial stock market model consisting of decision making agents. Through the fundamental and technical analysis in the aspects of investors, trading cost, transaction volume, risk-free interest, tick size and price-limit system, the model is used to indicate the volatility and liquidity. The results show that the stock index time series has obtained the characteristics of steep-peak and heavy-tail, which is in accordance with that of real stock market. It is also found that an appropriate increase of tick size or relax of price limit would help improve the market liquidity, …
Distributed Video Coding Based On Multiple-Source Correlation Model, Linbo Qing, Xianfeng Ou, Xiaohai He, Rui Lv
Distributed Video Coding Based On Multiple-Source Correlation Model, Linbo Qing, Xianfeng Ou, Xiaohai He, Rui Lv
Applied Mathematics & Information Sciences
Distributed Video Coding (DVC) is a new video coding paradigm which has the ability to shift coding complexity from encoder to decoder. State-of-art DVC schemes are mainly based on two-source correlation model and only one correlation channel between side information and wyner-ziv frame is considered. In this paper, multiple-source correlation model is introduced into a famous DVC scheme, namely Transform Domain Wyner-Ziv video coder (TDWZ). A soft-input computing algorithm based on multiple-source correlation model is firstly proposed. The correlations among multiple side information are separately exploited. Then a new reconstruction function based on multiple source correlation model is also proposed …
Description Of System Fault Behavior Model Based On Polychromatic Sets, Guangyan Zhao, Gang Zhao, Yufeng Sun, Weiwei Hu
Description Of System Fault Behavior Model Based On Polychromatic Sets, Guangyan Zhao, Gang Zhao, Yufeng Sun, Weiwei Hu
Applied Mathematics & Information Sciences
The system fault behavior model was investigated by the author first. System fault behavior model describes the occurrence and development process of malfunction in product, and analyzes the transmission process of unit malfunction in system and effects of various factors on system. In order to realize simulation of system fault behavior, it is necessary to perform formalized process of system fault behavior model, so as to acquire the mathematic description required by computer simulation. So the formalized description of fault behavior model (FBM) based on polychromatic sets theory was introduced. With consideration of the characteristics of model hierarchy and information …
Buffer Overflow Period In A Batch-Arrival Queue With Autocorrelated Arrivals, Andrzej Chydzinski
Buffer Overflow Period In A Batch-Arrival Queue With Autocorrelated Arrivals, Andrzej Chydzinski
Applied Mathematics & Information Sciences
In this paper a study on the buffer overflow period in a finite-buffer queue is presented. A special attention is paid to the autocorrelation and batch arrivals, which are supposed to mimic the properties of real arrival processes. Using the batch Markovian arrival process, formulas for the duration of the first, subsequent and stationary overflow periods, as well as formulas for the distribution of the number of consecutive losses during the overflow period are shown. Moreover, analytical results are illustrated via numerical examples. In particular, the influence of the autocorrelation and batch arrivals on the duration of the overflow period …
Guaranteed Cost Control For Nonlinear Singular System With Time Delays Using T-S Fuzzy Model, Junsheng Ren, Xianku Zhang
Guaranteed Cost Control For Nonlinear Singular System With Time Delays Using T-S Fuzzy Model, Junsheng Ren, Xianku Zhang
Applied Mathematics & Information Sciences
Singular system is a natural representation of dynamical systems. Guaranteed cost fuzzy control problem for a class of nonlinear singular system is addressed. The nonlinear singular system contains time-varying and norm-bounded uncertainties simultaneously in the matrices of states, delayed states and control inputs. Nonlinear singular system is formulated in the framework of Takagi-Sugeno (T-S) fuzzy system. Parallel-distributed compensation (PDC) scheme is equipped to design T-S fuzzy controller. Sufficient conditions are stated to guarantee both the stabilization and close-loop system’s performance requirements. The conditions are obtained via linear matrix inequalities (LMIs) techniques, which can be solved through convex optimization method efficiently. …
Cryptanalysis Of A Password-Based Group Key Exchange Protocol Using Secret Sharing, Ruxandra F. Olimid
Cryptanalysis Of A Password-Based Group Key Exchange Protocol Using Secret Sharing, Ruxandra F. Olimid
Applied Mathematics & Information Sciences
Yuan et al. recently introduced a password-based group key transfer protocol that uses secret sharing, which they claim to be efficient and secure [9]. We remark its resemblance to the construction of Harn and Lin [1], which Nam et al. proved vulnerable to a replay attack [3]. It is straightforward that the same attack can be mount against Yuan et al.’s protocol, proving that the authors’ claim is false. In the same paper, Nam et al. propose a countermeasure that may also apply to Yuan et al.’s protocol. However, we show that their protocol remains susceptible to an insider attack …
Cryptanalysis Of A Certificateless Aggregate Signature Scheme For Mobile Computation, Muhammad Khurram Khan, Debiao He
Cryptanalysis Of A Certificateless Aggregate Signature Scheme For Mobile Computation, Muhammad Khurram Khan, Debiao He
Applied Mathematics & Information Sciences
Recently, Xiong et al. proposed an efficient certificateless aggregate signature (CLAS) scheme for mobile computation. They demonstrated that their scheme is provably secure in the random oracle model. Unfortunately, by giving a concrete attack, in this paper, we point out that Xiong et al.’s scheme is not secure at all and an adversary without the partial private key and the secret value could forge a legal message. Hence, Xiong et al.’s scheme is not feasible for practical applications.
Novel Packet Queuing Algorithm On Packet Delivery In Mobile Internet Protocol Version 6 Networks, Reza Malekian, Abdul Hanan Abdullah, Ning Ye
Novel Packet Queuing Algorithm On Packet Delivery In Mobile Internet Protocol Version 6 Networks, Reza Malekian, Abdul Hanan Abdullah, Ning Ye
Applied Mathematics & Information Sciences
New applications such as video conferencing and voice over IP present many challenges to the design of mobile networks. The mobile networks are constantly changing. The latest devices like smart phones, personal digital assistants, and mobile enabled laptops such as Windows Mobile and Windows Phone are truly able to deliver on any mobile broadband. As a July 2010 study by ERICSON, one of the top tier infrastructure suppliers for mobile networks shows, there are approximately five billions cell phone lines in the globe. This survey estimates 3.4 billion smart phone users in 2015. Thus, the Internet service providers must deliver …
A Dynamic Sgp Selection Algorithm Based On Evolutionary Game For Hybrid P2p Streaming System, Jing Chen, Yangjie Cao, Li Li, Xiaoshe Dong
A Dynamic Sgp Selection Algorithm Based On Evolutionary Game For Hybrid P2p Streaming System, Jing Chen, Yangjie Cao, Li Li, Xiaoshe Dong
Applied Mathematics & Information Sciences
Due to high efficiency and good scalability, hierarchical hybrid P2P architecture has drawn more and more attentions in P2P video streaming applications recently. The problem about Super Group Peers (SGPs) selection, which is the key problem in hierarchical hybrid P2P architecture, is becoming highly challenging because super peers must be selected from a huge and dynamically changing network. In this paper, we propose a SGP selection game model based on evolutionary game framework and analyze its evolutionarily stable strategies in theory. Moreover, we propose a distributed Q-Learning algorithm, which has the ability to make the peers converge to the ESSs …
Diagnosability Of Slowly Changing Fault Of Hybrid System, Zhao Jian, Shi Lijuan, Du Qinsheng, Wang Lirong
Diagnosability Of Slowly Changing Fault Of Hybrid System, Zhao Jian, Shi Lijuan, Du Qinsheng, Wang Lirong
Applied Mathematics & Information Sciences
The premise of model-based diagnosis is that the system for diagnosing is diagnosable. Previous methods to diagnose fault are mainly based on the assumption of abrupt change, and under this kind of assumption, unpredictable fault can be caused by those possible slowly changing fault or that the system cannot be diagnosed. Diagnosability of slowly changing fault is discussed in this essay, and the determination method of diagnosability of slowly changing fault is put forward in the framework of hybrid input-output automata. By introducing guard event system of slowly changing fault, the diagnosing method of slowly changing fault is obtained and …
Visualization Of Buckling On Thin-Walled Cylindrical Shell By Digital Image Correlation Method, C. Zhao, H. Matsuda, S. Lou, C. Morita, A. Koga
Visualization Of Buckling On Thin-Walled Cylindrical Shell By Digital Image Correlation Method, C. Zhao, H. Matsuda, S. Lou, C. Morita, A. Koga
Applied Mathematics & Information Sciences
The problem of buckling stability is very important in thin-walled cylindrical shell structure. In order to investigate the buckling phenomena, digital image correlation (DIC) method was applied in this experiment. The specimens have a thickness of 0.131mm and the ratio of external diameter (R0) to thickness (H) R0/H is 252. Due to its curved and thin walled elements, measurement of displacement and strains by using the traditional methods is difficult, because there is not enough space for sticking necessary torsion gauges to measure the out-of-plane behaviour, even if it is possible, the rigidity of the gauge itself will have an …
An Optimal Strategy Model For Purchasing Initial Public Offerings In China, Dong Huang, Xiaolong Wang, Jingjing Ma, Ronggang Dou
An Optimal Strategy Model For Purchasing Initial Public Offerings In China, Dong Huang, Xiaolong Wang, Jingjing Ma, Ronggang Dou
Applied Mathematics & Information Sciences
An optimal recommend model for purchasing Chinese IPOs (Initial Public Offerings) based on artificial intelligence method is proposed here. In this paper, we focus on how to get the optimal income in a period of time. In order to avoid the problem of sparsity by separate method, combinations of classification, regression and maximum entropy are adopted to adjust the density of the filters in Double-layer filter model we propose.We improve the accuracy of the forecasting by structuring data in preprocessing, adjusting filters’ density level by the entropy of maximum entropy, the probability of the classification and regression algorithm. The experimental …
The Regional Financial Risk Early-Warning Model Integrating The Regression Of Lagging Factors, Dongsheng Liu, Guanglan Zhou, Kena Zhu, Chonghuan Xu
The Regional Financial Risk Early-Warning Model Integrating The Regression Of Lagging Factors, Dongsheng Liu, Guanglan Zhou, Kena Zhu, Chonghuan Xu
Applied Mathematics & Information Sciences
It is an essential demand to establish an effective financial risk early-warning system for financial security. But some factors have a lagging effect on financial risk. So this paper aims to construct a reasonable and practical indicator system for financial risk early-warning. First, determine the explained variables of the indicator made up by Chinese financial stress index. Second, confirm the explanatory variables consisting of the macroeconomic variable, the currency credit variable, asset price variable and the macroeconomic variable of correlative economic powers. Finally, propose an optimum forecast equation to predict financial systemic risk status. In conclusion, the forecast outcomes indicate …
Mathematical Analysis Of Super Low Frequency Ground Loop Receiving Antennas, Hui Xie, Ming Yang, Long Ji
Mathematical Analysis Of Super Low Frequency Ground Loop Receiving Antennas, Hui Xie, Ming Yang, Long Ji
Applied Mathematics & Information Sciences
A compact super low frequency receiving antenna in the form of a loop can be built for which the induced atmospheric noise voltage dominates both the antennas thermal noise voltage and preamplifier noise. Air-core and ferromagnetic-core ground loop receiving antennas were introduced, and mathematical calculation methods to analyse the ENF spectrum of the atmospheric noise and thermal noise were derived. The research identified the roles played by the various contributing factors such as antenna dimensions, wire conductivity, ferromagnetic-core permeability, etc. One air-core and three ferromagnetic-core antennas were designed, and a compromise core design was recommend, which takes advantage of the …
The Lane Squeezing Behaviors In The Lane Reduction Bottleneck With An Optimal Velocity Model, Xingli Li, Jian Zhang, Zhipeng Li
The Lane Squeezing Behaviors In The Lane Reduction Bottleneck With An Optimal Velocity Model, Xingli Li, Jian Zhang, Zhipeng Li
Applied Mathematics & Information Sciences
As a kind of typical human factor influencing the transportation seriously, the lane squeezing behaviors in the lane reduction bottleneck is investigated with the optimal velocity model. Two kinds of vehicles are introduced. The asymmetric lane changing rules in the slowdown section and the lane squeezing behaviors near the merging point are taken into account. Under the periodic boundary condition, the numerical simulations are performed, which shows that the asymmetric lane changing rules, especially the lane squeezing behaviors influence the current distribution of right and left lanes in the slowdown section. And an interesting phenomenon of ratio inversion appears. Besides, …
Landslide Hazard Assessment Based On Fuzzy Synthesis Judgment And Geographic Information System, Bao Yan, Huang Zhi-Jian, Wei Yun-Jie, Tao Lian-Jin, Wei Hong-Hu
Landslide Hazard Assessment Based On Fuzzy Synthesis Judgment And Geographic Information System, Bao Yan, Huang Zhi-Jian, Wei Yun-Jie, Tao Lian-Jin, Wei Hong-Hu
Applied Mathematics & Information Sciences
Taking Ganxigou valley in Sichuan Province as example, where earthquake occurred at 14:20 on May 12th, 2008, slope,aspect, elevation, river distribution, lithology, faultage, and highway distribution are selected to assess landslide risk after earthquake. The fuzzy synthesis judgment way is applied to evaluation, and GIS is effectively adopted in picking up value and making chart. Through verification, these evaluation systems are viable.
Privacy-Preserving Data Mining Algorithm Quantum Ant Colony Optimization, Wu Jue, Yang Lei, Peng Lingxi, Liu Feng
Privacy-Preserving Data Mining Algorithm Quantum Ant Colony Optimization, Wu Jue, Yang Lei, Peng Lingxi, Liu Feng
Applied Mathematics & Information Sciences
Bayesian network has been used extensively in data mining. The Privacy-Preserving data mining algorithm based on quantum ant colony optimization is proposed in this paper. The algorithm is based on distributed database. The algorithm is divided into two steps. In the first step, the modified quantum ant colony optimization algorithm is used to get the local Bayesian network structure. The purpose of the second step is getting the global Bayesian network structure by using local ones. In order to protect the privacy, the secure sum is used in the algorithm. The algorithm is proved to be convergent on theory. Some …
Research Of Spatial Data Cache Index Of Electricity Gis, Bo Hu
Research Of Spatial Data Cache Index Of Electricity Gis, Bo Hu
Applied Mathematics & Information Sciences
This paper studies the application of present situation of the GIS platform in the power industry, in view of the existing problems, putting forward a kind of spatial data model of the power facilities for power industry, and putting forward clustering indexing method based on semantic meaning, and accelerating the response speed of the multi-level cache mechanism. And finally the article is presented the possible problems, and the future outlook of the development of electric power GIS platform.
Soft Lattice Implication Subalgebras, Gaoping Zheng, Zuhua Liao, Nini Wang, Licheng Zhang, Yingying Fan, Chan Zhu
Soft Lattice Implication Subalgebras, Gaoping Zheng, Zuhua Liao, Nini Wang, Licheng Zhang, Yingying Fan, Chan Zhu
Applied Mathematics & Information Sciences
In this paper, we introduce the concepts of soft lattice implication subalgebras, endow a parameter set as a lattice implication algebra, and further discuss its equivalent characterization. Then, new operations of soft lattice implication subalgebras are introduced, under which two soft lattice implication subalgebras is also a soft lattice implication subalgebra. Finally, the concepts of image and preimage of a soft lattice implication subalgebra and their properties are presented.