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Some Generalizations Of Pochhammer’S Symbol And Their Associated Families Of Hypergeometric Functions And Hypergeometric Polynomials, Rekha Srivastava
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 …
An Optimal Algorithm For Energy Recovery Of Hydraulic Electromagnetic Energy-Regenerative Shock Absorber, Zhigang Fang, Xuexun Guo, Lin Xu, Han Zhang
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 …
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
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 …
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
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, …
Evaluation Model Construction And Simulation Research On Tourist Diversion Strategy In Ecotourism Scenery Sport, Shaojiang Lin, Yuguo Yuan, Weimin Zheng, Peiyu Ren, Maozhu Jin
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 …
A Satisfaction Evaluation Method For Scenic Spot Based On Linguistic Weighted Arithmetic Average Operator, Mingming Hu, Peiyu Ren, Maozhu Jin, Jibin Lan, Yuyan Luo
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 …
The Structure Of Z2z2s-Additive Codes: Bounds On The Minimum Distance, Ismail Aydogdu, Irfan Siap
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 …
A Study On The Effect Of Educational Information System On Internal Factors Of School Organization, Yoeng-Taak Lee, Sung-Kyung Ryu
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 …
A Low Complexity Algorithm For Receiver Antenna Selection In Mimo Systems, Suoping Li, Hongfeng Zhu, Dandan Xiao
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 …
Intelligent Delivery Of Multimedia Content In Mobile Environment, Aleksandar Karadimce, Reza Malekian, Abdul Hanan Abdullah
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 …
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
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 …
On The Convergence Of Central Path And Generalized Proximal Point Method For Symmetric Cone Linear Programming, Zhensheng Yu, Yanyan Zhu, Qianqian Cao
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.
A Novel Model For The Evolution Of Online Public Opinion Based On Fuzzy Cellular Automata Rules In Directed World Networks, Tao Chen, Jie Lin
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 …
Options Pricing In Jump Diffusion Markets During Financial Crisis, Youssef El-Khatib, Mohamed Ali Hajji, Mohammed Al-Refai
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.
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
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 …
On Linearization By Generalized Sundman Transformations Of A Class Of Liénard Type Equations And Its Generalization, A. G. Johnpillai, F. M. Mahomed
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 …
Quantum Modal Structure Of A Trapped Atom In Evanescent Laguerre- Gaussian Beams, Saud A. Al-Awfi
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.
A New Class Of Strongly Summable And Statistical Convergence Sequences Of Fuzzy Numbers, Hemen Dutta
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.
K-Medoids Based Clustering Of Planetlab’S Slice-Centric Data, Aun Haider
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 …
Integration Of Genetic Algorithm And Particle Swarm Optimization For Investment Portfolio Optimization, R. J. Kuo, C. W. Hong
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.
E2ars : An Energy-Effective Adaptive Replication Strategy In Cloud Storage System, Xindong You, Li Zhou, Jie Huang, Jinli Zhang, Congfeng Jiang, Jian Wan
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 …
Joint Channel Coding Based On Ldpc Codes With Gaussian Kernel Reflecton And Cs Redundancy, Fei Zhong, Shuxu Guo, Xu Xu
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.
Rescheduling Oriented Dependent Tasks Spread Domain Computing, Tingwei Chen, Hongning Zhu, Yu Dai, Xianwen Hao
Rescheduling Oriented Dependent Tasks Spread Domain Computing, Tingwei Chen, Hongning Zhu, Yu Dai, Xianwen Hao
Applied Mathematics & Information Sciences
To narrow the scope of rescheduling tasks is one of the effective ways to improve the grid dependent tasks rescheduling efficiency. For how to determine the scope which should improve the efficiency of rescheduling problem as far as possible without affecting the application performance, this paper proposed the rescheduling tasks spread domain concept and its method of computation. Beginning with a minimum tasks set to rescheduling, the computing process is oriented by resource share conflict and data transmission dependent of tasks, and limited by the degree of task to optimize the performance of the whole application. Experimentation results show that …
Study On Location Algorithms Of Beamforming Based On Mvdr, Aidong Deng, Hang Tong, Jianeng Tang, Hao Cao
Study On Location Algorithms Of Beamforming Based On Mvdr, Aidong Deng, Hang Tong, Jianeng Tang, Hao Cao
Applied Mathematics & Information Sciences
Acoustic emission is an effective method of locating the rubbing fault. In order to solve the problem that satisfactory location accuracy is difficult to obtain because of the waveform distortion caused by signal propagation during the application of time delay estimation method in acoustic emission position estimation, beam-forming technique is applied to acoustic emission source location. Simulation studies have been made on the performance of near-field time-domain and frequency domain beam-forming in the location of rubbing acoustic emission source. The paper adopts the wideband signal minimum variance distortionless response (MVDR) location estimation method based on sub-band decomposition to avoid the …
Software Vulnerability Patch Management With Semi-Markov Decision Process, Chien-Cheng Huang, Kwo-Jean Farn, Feng-Yu Lin, Frank Yeong-Sung Lin
Software Vulnerability Patch Management With Semi-Markov Decision Process, Chien-Cheng Huang, Kwo-Jean Farn, Feng-Yu Lin, Frank Yeong-Sung Lin
Applied Mathematics & Information Sciences
Information security incidents frequency has been increasing dramatically, the aim of this study is to analyze the state-space reachability problems through the transition of vulnerable status after the informative system vulnerability exposure. In this research we took into consideration the time factor to analyze the arrival time to reachable states problem discussed in stochastic Petri nets. The mean arrival time and variance of the process between starting from an initial state and arriving at reachable states. We will therefore elaborate a novel model based on the semi-Markov stochastic Petri nets model for analyzing the period between the exposure of the …
Performance Bounds For P2p Streaming System With Transcoding, Shuai Zeng, Lemin Li, Dan Liao
Performance Bounds For P2p Streaming System With Transcoding, Shuai Zeng, Lemin Li, Dan Liao
Applied Mathematics & Information Sciences
In this paper, we develop a fluid model that seeks to expose the fundamental characteristics and mathematical theory of peerto- peer streaming system with transcoding. We find out and prove that, to provide peers receiving data above some flow rate, there is a lower bound of server upload bandwidth in this kind of system. We give a flow rate allocation algorithm to achieve the minimal server upload bandwidth in the proof. We compare this lower bound with the minimal demand of server upload bandwidth of no transcoding system. And, we prove that, the demand of server upload bandwidth in transcoding …
Dynamic Self-Organizing Generation Algorithm Of Complex Assembly Network Model, Hou Wenjun, Jin Yu, Li Tiemeng, Sun Hanxu
Dynamic Self-Organizing Generation Algorithm Of Complex Assembly Network Model, Hou Wenjun, Jin Yu, Li Tiemeng, Sun Hanxu
Applied Mathematics & Information Sciences
In this paper, a model was proposed to describe the structure and the assembly mechanism of assembly network based on six principles: (1) the network has fixed number of vertices; (2) each vertex has limited degree; (3) the network shows clustering; (4) linking take place between pairs of vertices at a rate which is high if the degree limitation of this pair is large and the distance is close and low otherwise; (5) many sub-networks are growing in the same time and connected together at last; (6) there is relatively stable structure. Using computer simulations, the model which was proposed …
Some Parallel Algorithms For A New System Of Quasi Variational Inequalities, Muhammad Aslam Noor, Khalida Inayat Noor
Some Parallel Algorithms For A New System Of Quasi Variational Inequalities, Muhammad Aslam Noor, Khalida Inayat Noor
Applied Mathematics & Information Sciences
In this paper, we introduce a new system of quasi variational inequalities. The projection technique is used to establish the equivalence between this new system of quasi variational inequalities and the fixed point problem. The fixed point formulation enables us to suggest some parallel projection iterative methods for solving the system of quasi variational inequalities. Convergence analysis of the proposed methods is investigated. Several special cases are discussed. Results proved in this paper continue to hold for these problems.
Robust Sparse 2d Principal Component Analysis For Object Recognition, Jicheng Meng, Xiaolong Zheng
Robust Sparse 2d Principal Component Analysis For Object Recognition, Jicheng Meng, Xiaolong Zheng
Applied Mathematics & Information Sciences
We extensively investigate robust sparse two dimensional principal component analysis (RS2DPCA) that makes the best of semantic, structural information and suppresses outliers in this paper. The RS2DPCA combines the advantages of sparsity, 2D data format and L1-norm for data analysis. We also prove that RS2DPCA can offer a good solution of seeking spare 2D principal components. To verify the performance of RS2DPCA in object recognition, experiments are performed on three famous face databases, i.e. Yale, ORL, and FERET, and the experimental results show that the proposed RS2DPCA outperform the same class of algorithms for face recognition, such as robust sparse …
Different Types Of Periodic Activities In A Calcium Oscillation Model, Li Yuanhua, Zhou Yi, Ji Quanbao
Different Types Of Periodic Activities In A Calcium Oscillation Model, Li Yuanhua, Zhou Yi, Ji Quanbao
Applied Mathematics & Information Sciences
In this paper, a model proposed by Marhl et al. is considered to investigate the effect of several parameters on the calcium bursting oscillation behavior. Different types of bursting are presented. Fast-slow burster analysis and first return map are used to explain the mechanism of the four types of bursting. The results are instructive for understanding the role of these parameters played in complex dynamics in the Marhl-Haberichter calcium oscillation model.