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2013

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Testing The Assumption Of Non-Differential Misclassification In Case-Control Studies, Tze-San Lee, Qin Hui Nov 2013

Testing The Assumption Of Non-Differential Misclassification In Case-Control Studies, Tze-San Lee, Qin Hui

Journal of Modern Applied Statistical Methods

One of the not yet solved issues regarding the misclassification in case-control studies is whether the misclassification rates are the same for both cases and controls. Currently, a common practice is to assume that the rates are the same, that is, the non-differential misclassification assumption. However, it has been suspected that this assumption may not be valid in practical applications. Unfortunately, no test is available so far to test the validity of the non-differential misclassification assumption. A method is presented to test the validity of non-differential misclassification assumption in case-control studies with 2 × 2 tables when validation data are …

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Ordered Logit Regression Modeling Of The Self-Rated Health In Hawai‘I, With Comparisons To The Ols Model, Hosik Min Nov 2013

Ordered Logit Regression Modeling Of The Self-Rated Health In Hawai‘I, With Comparisons To The Ols Model, Hosik Min

Journal of Modern Applied Statistical Methods

Despite the ordinal nature of Self-Rated Health (SRH) variable, logistic regression models or regression models have been used without adequate justification for these applications. It is shown that ordered-logit regression model is the appropriate statistical strategy to estimate SRH, whereas the Ordinary LeastSquares model leads to biased conclusions.

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Approximation Multivariate Distribution Of Main Indices Of Tehran Stock Exchange With Pair-Copula, G. Parham, A. Daneshkhah, O. Chatrabgoun Nov 2013

Approximation Multivariate Distribution Of Main Indices Of Tehran Stock Exchange With Pair-Copula, G. Parham, A. Daneshkhah, O. Chatrabgoun

Journal of Modern Applied Statistical Methods

The multivariate distribution of five main indices of Tehran stock exchange is approximated using a pair-copula model. A vine graphical model is used to produce an n-dimensional copula. This is accomplished using a flexible copula called a minimum information (MI) copula as a part of pair-copula construction. Obtained results show that the achieved model has a good level of approximation.

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On The Periodic Auto–Oscillations Of An Electric Circuit With Periodic Imperfections On Its Variables, M. Teresa De Bustos, Miguel A. L?Pez, Raquel Mart?Nez Nov 2013

On The Periodic Auto–Oscillations Of An Electric Circuit With Periodic Imperfections On Its Variables, M. Teresa De Bustos, Miguel A. L?Pez, Raquel Mart?Nez

Applied Mathematics & Information Sciences

The aim of the present paper is to study the periodic auto–oscillations of an electric circuit with periodic imperfections on its variables composed by three condensers, one of them without charge, and two bobbins. We model this system by the Lagrangian approach using the morphology of the Hill problem and the main tool used for proving the results is the averaging theory of dynamical systems.

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Analysis Of Compactly Supported Transformations For Landmark-Based Image Registration, Roberto Cavoretto, Alessandra De Rossi Nov 2013

Analysis Of Compactly Supported Transformations For Landmark-Based Image Registration, Roberto Cavoretto, Alessandra De Rossi

Applied Mathematics & Information Sciences

In this paper we consider landmark-based image registration using radial basis function interpolation schemes. More precisely, we analyze some landmark-based image transformations using compactly supported radial basis functions such as Wendland’s, Wu’s, and Gneiting’s functions. Comparisons of interpolation techniques are performed and numerical experiments show differences in accuracy and smoothness of them in some test cases. Finally, a real-life case with medical images is considered.

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An End-User Tailorable Generic Framework For Privacy-Preserving Location-Based Mobile Applications, Dhiah El Diehn I. Abou-Tair, Mohamed Bourimi, Ricardo Tesoriero, Marcel Heupel, Marcel Heupel, Dogan Kesdogan Nov 2013

An End-User Tailorable Generic Framework For Privacy-Preserving Location-Based Mobile Applications, Dhiah El Diehn I. Abou-Tair, Mohamed Bourimi, Ricardo Tesoriero, Marcel Heupel, Marcel Heupel, Dogan Kesdogan

Applied Mathematics & Information Sciences

In this paper, we discuss the emerging need for supporting end-user tailorability and privacy with respect to collaborative location-based applications in mobile environments. We present a generic privacy-preserving framework for supporting such end-user tailorability on both user interface and server-side ends. The requirements were compiled from various use cases of collaborative location-based scenarios from various projects and related literature. The outcome results of this work demonstrates the feasibility of our proposed framework by means of an iOS based prototype applied to previous iAngle and iFishWatcher research projects. The significance of this prototype that it allows different communities to define their …

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Cellular Automata For The Flow Simulations On The Earth Surface, Optimization Computation Process, Juraj Cirbus, Michal Podhoranyi Nov 2013

Cellular Automata For The Flow Simulations On The Earth Surface, Optimization Computation Process, Juraj Cirbus, Michal Podhoranyi

Applied Mathematics & Information Sciences

The spreading of water across terrain is not a simple and isolated process. The spread of water is a part of the more general water cycle. Many commercial software exist for water modelling, but their correct use requires a considerable knowledge of water modelling, and about the study area. Using the relatively simple principle of cellular automata (CA) it is possible to obtain results which compare well with real measurements. This article describes using a CA for simulating the spreading of liquid, using comparatively simple rules and conditions which include several factors affecting the spreading of water such as slope, …

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Strichartz Estimates For Some 2d Water Wave Models, José R. Quintero, Alex M. Montes Nov 2013

Strichartz Estimates For Some 2d Water Wave Models, José R. Quintero, Alex M. Montes

Applied Mathematics & Information Sciences

In this paper we establish Strichartz type estimates associated with a class of semigroup operators in Rn, which for n = 2 correspond to some 2D water wave models.We also establish a nonlinear scattering result for solutions of the generalized Benney-Luke equation for higher order nonlinearity and small data initial in the energy space.

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Some Generalizations Of Pochhammer’S Symbol And Their Associated Families Of Hypergeometric Functions And Hypergeometric Polynomials, Rekha Srivastava Nov 2013

Some Generalizations Of Pochhammer’S Symbol And Their Associated Families Of Hypergeometric Functions And Hypergeometric Polynomials, Rekha Srivastava

Applied Mathematics & Information Sciences

In 2012, H. M. Srivastava et al. [37] introduced and studied a number of interesting fundamental properties and characteristics of a family of potentially useful incomplete hypergeometric functions. The definitions of these incomplete hypergeometric functions were based essentially upon some generalization of the Pochhammer symbol by mean of the incomplete gamma functions g (s, x) and G (s, x). Our principal objective in this article is to present a systematic investigation of several further properties of these incomplete hypergeometric functions and some general classes of the incomplete hypergeometric polynomials which are associated with them. Various (known or new) special cases …

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An Optimal Algorithm For Energy Recovery Of Hydraulic Electromagnetic Energy-Regenerative Shock Absorber, Zhigang Fang, Xuexun Guo, Lin Xu, Han Zhang Nov 2013

An Optimal Algorithm For Energy Recovery Of Hydraulic Electromagnetic Energy-Regenerative Shock Absorber, Zhigang Fang, Xuexun Guo, Lin Xu, Han Zhang

Applied Mathematics & Information Sciences

This paper presents a new kind of shock absorber, hydraulic electromagnetic energy-regenerative shock absorber (HESA), which can recover energy from vibration of vehicles. The road excitation frequency, load resistance and damping ratio are found to greatly affect the energy recovery of HESA. Based on a quarter-car model, the optimal load resistance and damping ratio for maximizing the energy-recyclable power are discussed. The results indicate that for any excitation frequency, the energy-recyclable power first increases then decreases with the load resistance increase, and the optimal load resistance is changeable as the excitation frequency changes.Moreover, the energy-recyclable power is more sensitive to …

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On Evaluation Model Of Circular Economy For Iron And Steel Enterprise Based On Support Vector Machines With Heuristic Algorithm For Tuning Hyper-Parameters, Zhifang Zhou, Xiaohong Chen, Xu Xiao Nov 2013

On Evaluation Model Of Circular Economy For Iron And Steel Enterprise Based On Support Vector Machines With Heuristic Algorithm For Tuning Hyper-Parameters, Zhifang Zhou, Xiaohong Chen, Xu Xiao

Applied Mathematics & Information Sciences

With more severe resource scarcity and environmental problems, the evaluation of circular economy in microcosmic level has become the focus of the academic world. Based on the concept of circular economy, this paper not only structures the evaluation index system of circular economy for iron and steel enterprises, builds the evaluation model of circular economy for iron and steel enterprises based on Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel, but achieves the optimization of kernel function parameters, penalty factors and insensitive parameters based on a heuristic algorithm for tuning hyper-parameters. Furthermore, the evaluation model is tested for …

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Research On Diffluent Network Prediction Model Of Ecotourim Scenic Spot Based On The Dynamic Fuzzy Control, Peng Ge, Peiyu Ren, Maozhu Jin, Yanqing Qiu, Weimin Zheng Nov 2013

Research On Diffluent Network Prediction Model Of Ecotourim Scenic Spot Based On The Dynamic Fuzzy Control, Peng Ge, Peiyu Ren, Maozhu Jin, Yanqing Qiu, Weimin Zheng

Applied Mathematics & Information Sciences

The acute contradiction between tourism economic development and ecological environment protection is becoming increasingly serious in many natural scenic spots. It became the focus of both managers of scenic area and scholars that using advanced information technology to track the swath law of tourists and realizing real-time control of the time and space distribution of visitors in scenic area. This paper adopted the idea of fuzzy control, constructed a dynamic fuzzy feedback control forecast model based on the adaptive laws at first, then it proved two kinds of effects existed in this model. Finally, it simulated a single units attraction, …

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Evaluation Model Construction And Simulation Research On Tourist Diversion Strategy In Ecotourism Scenery Sport, Shaojiang Lin, Yuguo Yuan, Weimin Zheng, Peiyu Ren, Maozhu Jin Nov 2013

Evaluation Model Construction And Simulation Research On Tourist Diversion Strategy In Ecotourism Scenery Sport, Shaojiang Lin, Yuguo Yuan, Weimin Zheng, Peiyu Ren, Maozhu Jin

Applied Mathematics & Information Sciences

Due to unbalanced distribution of tourists during peak time, tourists are likely to highly flock in certain areas of scenery spots if imperfect organization and management. For this reason, there may be crowds or even trample accidents in addition to unrecoverable damages for the ecological environment in such areas. Therefore, the valid solution is to formulate scientific tourist diversion strategy, reasonably adjust the tour routes, and realize the balanced distribution of tourists over space and time. The prerequisite and base of the research is to establish scientific rational evaluation indicators for diversion strategy. At present, the common indicators include the …

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A Satisfaction Evaluation Method For Scenic Spot Based On Linguistic Weighted Arithmetic Average Operator, Mingming Hu, Peiyu Ren, Maozhu Jin, Jibin Lan, Yuyan Luo Nov 2013

A Satisfaction Evaluation Method For Scenic Spot Based On Linguistic Weighted Arithmetic Average Operator, Mingming Hu, Peiyu Ren, Maozhu Jin, Jibin Lan, Yuyan Luo

Applied Mathematics & Information Sciences

Based on the level empowerment system and the linguistic operator, a satisfaction evaluation process is proposed in this paper. First of all, a level empowerment system is established to generate the weight of each surveyed tourist. Then, some new linguistic operations are defined which can remedy the defects of the existed operations. Besides, the expectation and variance in linguistic information environment are defined to generate the weight of each character of tourist and the weights of indicators, and linguistic weighted arithmetic average (LWAA) operator is introduced to aggregate the linguistic information of each tourist and the group linguistic information of …

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The Structure Of Z2z2s-Additive Codes: Bounds On The Minimum Distance, Ismail Aydogdu, Irfan Siap Nov 2013

The Structure Of Z2z2s-Additive Codes: Bounds On The Minimum Distance, Ismail Aydogdu, Irfan Siap

Applied Mathematics & Information Sciences

Z2Z4-additive codes, as a special class of abelian codes, have found a very welcoming place in the recent studies of algebraic coding theory. This family in one hand is similar to binary codes on the other hand is similar to quaternary codes. The structure of Z2Z4- additive codes and their duals has been determined lately. In this study we investigate the algebraic structure of Z2Z2s -additive codes which are a natural generalization of Z2Z4-additive codes. We present the standard form of the generator and parity-check matrices of the Z2Z2s -additive codes. Also, we give two bounds on the minimum distance …

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A Study On The Effect Of Educational Information System On Internal Factors Of School Organization, Yoeng-Taak Lee, Sung-Kyung Ryu Nov 2013

A Study On The Effect Of Educational Information System On Internal Factors Of School Organization, Yoeng-Taak Lee, Sung-Kyung Ryu

Applied Mathematics & Information Sciences

This research is to investigate how educational information system affects operation focus, teacher satisfaction, student satisfaction, strategy and finally the resultant performance of school organization. Method: AMOS 18.0 was used for validity testing on the input factors to the study model for confirmatory factors analysis. To this end, certain hypotheses were proposed and the validity test was conducted to test how well the hypothesis accounted for the relationship observed in the study. Conclusions: Educational information system has become a crucial factor for schools, as it is for ordinary business, In particular, parts where educational information system plays the most important …

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A Low Complexity Algorithm For Receiver Antenna Selection In Mimo Systems, Suoping Li, Hongfeng Zhu, Dandan Xiao Nov 2013

A Low Complexity Algorithm For Receiver Antenna Selection In Mimo Systems, Suoping Li, Hongfeng Zhu, Dandan Xiao

Applied Mathematics & Information Sciences

For a multiple-input multiple-output (MIMO) system with more antennas at the receiver than the transmitter, selecting the same number of receiver antennas as the number of transmitter antennas can takemost of the advantages ofMIMO capacity performance and at the same time reduce the system hardware cost and computational complexity. In this paper, a novel effective low complexity near-optimal antenna selection algorithms based on maximization channel capacity is proposed for the MIMO array configuration. Different from many existing fast antenna selection algorithms which obtain the sub-optimal channel sub matrix by adding or removing one row per step exploit re-computing formula, our …

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Intelligent Delivery Of Multimedia Content In Mobile Environment, Aleksandar Karadimce, Reza Malekian, Abdul Hanan Abdullah Nov 2013

Intelligent Delivery Of Multimedia Content In Mobile Environment, Aleksandar Karadimce, Reza Malekian, Abdul Hanan Abdullah

Applied Mathematics & Information Sciences

Process of delivering multimedia learning objects such as text, video, images, audio, and animation requires real-time streaming of multimedia content from the M-learning systems to the mobile users. With enhancing the integration methods of the mobile devices into the learning systems, we have possibility to allow easy storing, recording and delivering of multimedia contents to the students in real-time. In this paper, we will present an intelligent mobile learning (M-learning) system for delivery of multimedia content depending of the context-aware conditions. This paper considers the significance of high QoS requirements for applications that are essential to achieve higher continuity of …

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Growth Of A Vapour Bubble In A Superheated Liquid Of Variable Surface Tension And Viscosity Between Two-Phase Flow, S. A. Mohammadein, K. G. Mohamed Nov 2013

Growth Of A Vapour Bubble In A Superheated Liquid Of Variable Surface Tension And Viscosity Between Two-Phase Flow, S. A. Mohammadein, K. G. Mohamed

Applied Mathematics & Information Sciences

The growth of a vapour bubble in a superheated liquid of variable surface tension and viscosity between two finite boundaries is introduced. The problem is solved analytically using the modified method of Plesset and Zwick method. The pressure difference is described in terms of temperature difference and initial pressure difference. The surface tension, viscosity, and initial and final time of bubble growth are derived in terms of some physical parameters. The growth of bubble radius is proportional to the thermal diffusivity, the initial pressure difference and its coefficient. On contrary the growth is inversely proportional to the initial void fraction …

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On The Convergence Of Central Path And Generalized Proximal Point Method For Symmetric Cone Linear Programming, Zhensheng Yu, Yanyan Zhu, Qianqian Cao Nov 2013

On The Convergence Of Central Path And Generalized Proximal Point Method For Symmetric Cone Linear Programming, Zhensheng Yu, Yanyan Zhu, Qianqian Cao

Applied Mathematics & Information Sciences

In this paper, we consider the symmetric cone linear programming(SCLP), by using the Jordan-algebraic technique, we extend the generalized proximal point method in linear programming and semidefinite programming to the SCLP. Under some reasonable conditions, we obtain the convergence of primal central paths associated to the symmetric cone distance function.

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A Novel Model For The Evolution Of Online Public Opinion Based On Fuzzy Cellular Automata Rules In Directed World Networks, Tao Chen, Jie Lin Nov 2013

A Novel Model For The Evolution Of Online Public Opinion Based On Fuzzy Cellular Automata Rules In Directed World Networks, Tao Chen, Jie Lin

Applied Mathematics & Information Sciences

In this paper, a model of Cellular Automata model (CA), which contains four essential characters composed of Emotional tendencies of current netizen, self-confidence, the impact and sentiment orientation from other netizens, was designed for the evolution of online public opinion. To establish the relationship between the state of current netizen and the impact rate from other netizens. This study has adopted the rule-based fuzzy system.With the support of some experts from the Psychology area, 70 fuzzy rules with different weight have been formulated. Through the analysis of the simulation results, the opinion concentration, polarization, are revealed. The results of simulation …

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Options Pricing In Jump Diffusion Markets During Financial Crisis, Youssef El-Khatib, Mohamed Ali Hajji, Mohammed Al-Refai Nov 2013

Options Pricing In Jump Diffusion Markets During Financial Crisis, Youssef El-Khatib, Mohamed Ali Hajji, Mohammed Al-Refai

Applied Mathematics & Information Sciences

In this paper, we suggest a jump diffusion model in markets during financial crisis. Using risk-neutral pricing, we derive a partial differential equation (P.D.E.) for the prices of European options. We find a closed form solution of the P.D.E. in the particular case where the stock price is too large. Then, we use such a solution as a boundary condition in the numerical treatment of the P.D.E. for any range of stock price. The numerical method adopted is the unconditionally stable Crank-Nicolson method. Illustrative examples are presented.

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A Practical Attack On Mobile Data Network Using Ip Spoofing, Dong W. Kang, Joo H. Oh, Chae T. Im, Wan S. Yi, Yoo J. Won Nov 2013

A Practical Attack On Mobile Data Network Using Ip Spoofing, Dong W. Kang, Joo H. Oh, Chae T. Im, Wan S. Yi, Yoo J. Won

Applied Mathematics & Information Sciences

As the mobile Internet has become widespread in recent years, communication based on mobile networks is increasing. As a result, security threats have been posed with regard to the abnormal traffic of mobile networks, but mobile security has been handled with focus on threats posed by mobile malicious codes, and researches on security threats to the mobile network itself have not attracted much attention. In this paper, we analyzes security threats that occurred to mobile networks recently, and checks the security threats likely to occur in actual commercial service networks and their results. We propose a countermeasure that can respond …

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On Linearization By Generalized Sundman Transformations Of A Class Of Liénard Type Equations And Its Generalization, A. G. Johnpillai, F. M. Mahomed Nov 2013

On Linearization By Generalized Sundman Transformations Of A Class Of Liénard Type Equations And Its Generalization, A. G. Johnpillai, F. M. Mahomed

Applied Mathematics & Information Sciences

We study the linearization of a class of Li´enard type nonlinear second-order ordinary differential equations from the generalized Sundman transformation viewpoint. The linearizing generalized Sundman transformation for the class of equations is constructed. The transformation is used to map the underlying class of equations into a linear second-order ordinary differential equation which is not in the Laguerre form. The general solution of this class of equations is obtained by integrating the linearized equation and applying the generalized Sundman transformation. Moreover, we apply a Riccati transformation to a general linear third-order variable coefficients ordinary differential equation to extend the underlying class …

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Quantum Modal Structure Of A Trapped Atom In Evanescent Laguerre- Gaussian Beams, Saud A. Al-Awfi Nov 2013

Quantum Modal Structure Of A Trapped Atom In Evanescent Laguerre- Gaussian Beams, Saud A. Al-Awfi

Applied Mathematics & Information Sciences

We investigate the quantum behavior of the neutral atoms trapped by the two-dimensional potential due to an optical vortex. Our model is based on the pure optical trapped of sodium atoms in evanescent Laguerre-Gaussian (LG) light. If the LG light is tuned to the blue of the atomic resonance line, atoms will experience repulsive potential, which push them away from the high intensity region to the low intensity region. The parameters selected in this evaluation are taken to guarantee that atoms are sufficiently cooled below the recoil limit to permit several quasi harmonics trapped quantum states.

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A New Class Of Strongly Summable And Statistical Convergence Sequences Of Fuzzy Numbers, Hemen Dutta Nov 2013

A New Class Of Strongly Summable And Statistical Convergence Sequences Of Fuzzy Numbers, Hemen Dutta

Applied Mathematics & Information Sciences

The paper introduces a new concept of strong summability and statistical convergence of sequence of fuzzy numbers. Further, these two concepts are studied and established relations between them.

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K-Medoids Based Clustering Of Planetlab’S Slice-Centric Data, Aun Haider Nov 2013

K-Medoids Based Clustering Of Planetlab’S Slice-Centric Data, Aun Haider

Applied Mathematics & Information Sciences

This paper investigates the application of widely used K-Medoids based clustering algorithm on data collected through CoMon facility for the PlanetLab testbed. The averaged values of various metrics in passively collected slice-centric data has been considered for clustering purposes. Various groups of slices, depicting similar resource usage patterns have been identified in original data set. These clusters have been represented in reduced dimensional space formed by first two principal components of original data set. In order to capture variations in pattern of resource usage by various slices at a PlanetLab node, clustering of standard deviations of various metrics have also …

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Integration Of Genetic Algorithm And Particle Swarm Optimization For Investment Portfolio Optimization, R. J. Kuo, C. W. Hong Nov 2013

Integration Of Genetic Algorithm And Particle Swarm Optimization For Investment Portfolio Optimization, R. J. Kuo, C. W. Hong

Applied Mathematics & Information Sciences

In investment market, investors often pay attention to investment portfolio selection and asset allocation under market risk. Thus, this study presents a two-stage method of investment portfolio based on soft computing techniques. The first stage uses data envelopment analysis to select most profitable funds, while hybrid of genetic algorithm (GA) and particle swarm optimization (PSO)is proposed to conduct asset allocation in the second stage.The evaluation results show that Sharpe value of portfolio based on the proposed method is superior to those of portfolio based on GA, PSO and market index. The proposed method really can help investors robustly obtain gains.

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E2ars : An Energy-Effective Adaptive Replication Strategy In Cloud Storage System, Xindong You, Li Zhou, Jie Huang, Jinli Zhang, Congfeng Jiang, Jian Wan Nov 2013

E2ars : An Energy-Effective Adaptive Replication Strategy In Cloud Storage System, Xindong You, Li Zhou, Jie Huang, Jinli Zhang, Congfeng Jiang, Jian Wan

Applied Mathematics & Information Sciences

In order to solve the urgent issue of the energy consumption in the cloud storage system. An Energy-effective adaptive replication strategy (E2ARS) is proposed in this paper, in which data partition mechanism, minimal replicas determining model, replicas placement strategies and the adaptive gear-shifting mechanism are elaborately designed. We try to conserve the energy consumption while satisfying the users’ desired response time by our E2ARS scheme. Mathematical analysis show that our E2ARS scheme will save energy consumption definitely when the system’s workload is light or desired response time is loose. And the simulation experiment results demonstrate that through our E2ARS scheme …

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Joint Channel Coding Based On Ldpc Codes With Gaussian Kernel Reflecton And Cs Redundancy, Fei Zhong, Shuxu Guo, Xu Xu Nov 2013

Joint Channel Coding Based On Ldpc Codes With Gaussian Kernel Reflecton And Cs Redundancy, Fei Zhong, Shuxu Guo, Xu Xu

Applied Mathematics & Information Sciences

This paper proposes a new joint decoding algorithm frame based on compressed sensing CS and LDPC (Low-Density Parity-Check) codes. Redundant information can be effectively extracted and amplified by CS reconstruction as a compensation to correct decoding of LDPC codes.We adopt Gaussian kernel function of image segmentation as a reflection. Simulation results indicate, compared with LDPC algorithm, the algorithm presented in this paper can obviously make BER (bit error ratio) lower and improve system decoding performance, and different variance of Gaussian kernel function can obtain different results.

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